Abstract: This work treats the optimization of high voltage power supply for microwave generators with a single magnetron. The design of this power supply uses one single-phase HV transformer with magnetic shunts powering a cell doubler of voltage and current stabilizer composed of a capacitor and a diode. The model of the transformer is presented by an equivalent circuit as a quadruple in π. This article treats on the one hand, the modeling of the transformer with magnetic shunts of HV power supply for a magnetron 800Watt-2450MHz, determining the analytical expressions of the non linear saturable inductances, from the magnetization curve B (H) of the material used. The resulting model has been implemented in Matlab-Simulink which is a programming language used to develop the solutions requiring a very high computing power. Using Matlab-Simulink, we have introduced a strategy to optimize this power supply for magnetron, to envisage the possibility to obtain a gains in the section, volume, cost of implementation and maintenance and make this system more economical while respecting the process of regulation of the current in the magnetron.
Abstract: In any business enterprise application, services playing a vital role and are provided by the software components. Every application requires a myriad of components based on umpteen types of services. Among the components, finding an enhanced compatible component is a herculean task. The work can be accomplished in terms with quality of service (QoS) with respect to different types of Applications and Operating systems. The QoS relatively paramount for a certain combination can be identified through the outcome. Here High and Low Peers have been segregated by identifying the threshold. A novel methodology is incorporated using mapping with limits for High Peer and Low Peer qualities. The above scenario will facilitate the application domain to make use of perfect fitting component available in bountiful.
Abstract: India, being an agricultural country analysis of soil texture and water resource plays a vital role in increasing the productivity of crops. The area of study is Vellore district in Tamil Nadu where agriculture is the main occupation. Though it is a fact, most of the land remains uncultivated due to the lack of knowledge of soil and water wealth. This paper proposes a method to analyze the suitability of land based on soil and water resource and predicts the yeild. Initially we apply Analytical Hierarchical Process to evaluate the influence of these factors on productivity. Weighted Overlay Analysis is then used for deriving at the productivity map by imposing the soil and water resource map over the base map. The resultant map is used to mine interesting patterns which gives us potential results in the form of rules that has a high societal impact. The Agricultural administrative authorities can take a decision and help people in converting a barren land into a fertile land thereby increasing the productivity.
Abstract: This paper surveys recent literature in the area of Neural Network, Data Mining, Hidden Markov Model and Neuro-Fuzzy system used to predict the stock market fluctuation. Neural Networks and Neuro-Fuzzy systems are identified to be the leading machine learning techniques in stock market index prediction area. The Traditional techniques are not cover all the possible relation of the stock price fluctuations. There are new approaches to known in-depth of an analysis of stock price variations. NN and Markov Model can be used exclusively in the finance markets and forecasting of stock price. In this paper, we propose a forecasting method to provide better an accuracy rather traditional method.
Data Mining, Stock Market Prediction, Markov Model, Neuro-Fuzzy Systems, Forecasting Techniques, and Time Series Analysis.
Abstract: Obtained images through imaging systems are considered as degraded versions of the original view. Computed Tomography (CT) images have different types of degradations such as noise, blur and contrast imperfections. This paper handles the issue of deblurring CT medical images affected by Gaussian blur. Image deblurring is the procedure of decreasing the blur amount and grant the filtered image with an overall sharpened form. In this paper, the authors considered the Laplacian sharpening filter and the iterative Richardson � Lucy algorithm, and implemented a mixture of these two techniques to process the CT medical images. The suggested technique is applied to medical images that are synthetically and naturally degraded by blur. Moreover, an evaluation between the proposed combination and each employed technique is provided, along with the accuracy calculation using the universal image quality index (UIQI).
Abstract: Data mining techniques are very powerful and are widely used for solving problems in image processing applications. This paper identifies the 3X3 decidable, frequently occurring binary patterns from a given set of binary images. The identified patterns are used for image de-noising and are found to be very useful in effective removal of particularly binary noise from binary images. These patterns can also be used in other applications of image processing including image compression and image transmission. To identify decidable frequently occurring binary image patterns 95% of confidence level and 999 frequency support are used to get accurate results. Experimental results of patterns used in binary image de-noising show that patterns are very effective and reliable in removal of noise.
Abstract: obility prediction algorithm is the significant aspect to improve QoS (Quality of Service) for heterogeneous wireless networks because it can accurately predict user� s trajectory, decrease handoff latency and preserve resources in arriving cell for user. Considering inaccurate description of existing mobility prediction algorithms for mobile user�s location in heterogeneous wireless networks, this paper proposes that overlay coverage zone (OCZ) can be used to precisely describe user�s location, flexibly depict the mobile user�s characteristics and vertical handoffs among different wireless networks. As existing algorithms highly depend on cell boundary estimation and suffer from low time prediction accuracy, the phase-type distribution is introduced to model user�s residence time in OCZ to improve classical Markov predictor, and then a novel joint time and location mobility prediction algorithm is proposed. Simulation results show that, compared with Markov mobility prediction algorithm, the prediction accuracy of the proposed algorithm is highly increased.
Abstract: A new biometrics recognition, finger-knuckle-print (FKP), has attractive interests of researchers. Based on the results of psychophysics and neurophysiology studies, both local and global information is crucial for the image perception, Therefore we present a novel approach for finger-knuckle-print recognition combining classifiers based on both micro texture in spatial domain provided by local binary pattern (LBP) and macro information in frequency domain acquired from the discrete cosine transform (DCT) to represent FKP image. The classification of these two feature sets is performed by using support vector machines (SVMs), which had been shown to be superior to traditional pattern classifiers. The experiments clearly show the superiority of the proposed classifier combination approaches over individual classifiers on the recently published PolyU knuckle database.
Abstract: Data compression is a common requirement for most of the computerized applications. There are number of data compression algorithms, which are dedicated to compress different data formats. Even for a single data type there are number of different compression algorithms, which use different approaches. This paper examines lossless data compression algorithms and compares their performance. The article is concluded by stating which algorithm performs well for Image data. This paper addresses the area of image compression as it is applicable to various fields of image processing. It also includes various benefits of using image compression techniques. The decryption techniques are used for the best possible way of reconstruction of Image.
Abstract: Watermarking appraisement plays an important role in the checking the validity in a watermark system. So far, it is regrettable that there is no any comprehensive appraisement proposed for watermarking technology. In general, test software and methods can only analyze a few factors influencing the watermarking algorithm, which are lacking sufficient credibility. So, a comprehensive watermarking appraisement model based on the theory of certainty factor is proposed in this paper, which firstly discusses the relations of factors and operations contained, which all be assigned weight value. Through reasoning and analysis, every watermark algorithm can be quantified, thus, merits and drawbacks of watermark algorithms are obvious, and it is also easy to achieve the optimal watermark algorithm.
Abstract: With the growth of technology, more and more applications and experiments need to be run in distributed environment. Data collection as an application and experiment fact begins to become more and more important. However, data collection will confront a lot of difficulties in grid-based distributed simulation platform because the running environment of grid is different with that of the traditional simulation platform. In order to overcome these disadvantages, we present a data collection mechanism of grid-based distributed simulation platform. In order to justify the feasibility and the availability of this data collection mechanism, a series of experiments have been done. The results show that it is feasible to collect data resource in grid-based distributed simulation platform.
Abstract: Cloud Security threats have greatly hindered the development of Cloud Computing and the promotion of cloud application, so how to protect the data stored in the cloud is not only the core issue of security, but also the biggest challenge of development. As these problems above, a trust-control architecture based on the concept of Cloud Storage Service was creatively proposed. Based on the structured strategy and isolated distributed storage-framework, the architecture of cloud services can eliminate the concerns about cloud security and achieve a high degree of safe, reliable and available cloud storage. It�s rather a simple and efficient way proved by experiments.
Abstract: To reduce the time complexity, this paper proposes an optimization algorithm to generate the large prime number. Before the primality test, an improved prescreening algorithm is used to get rid of most of odd composite numbers. Then we introduce the Fermat�s little theorem to make a further judgement, which can decrease the times of using prescreening algorithm. At last, Miller-Rabin algorithm is used to make a final primality test. The results show that the speed of key generation has been greatly improved.
Abstract: During the last decade, polyhedral model has been widely used as a mathematical model for auto-parallelization, and in recent years, with the development of multi-core architecture, polyhedral model has been employed to transform sequential code to parallel code that can run simultaneously on different cores. At the same time, the rapid development of GPU makes CPU/GPU architecture become increasingly popular because of GPU�s powerful parallel processing capabilities. However, we have no other methods of using GPU except for CUDA and Stream SDK, which are all based on explicit programming. Apart from this, there are two constraints for explicit programming: binary incompatibility among different GPUs as well as the cost of rewriting source code. Considering these constraints, we use polyhedral model and a dynamic binary translator to build a virtual execution environment: GXBit. GXBit is composed of analysis and execution stage, and the former one is the main focus of this paper. Analysis stage uses binary instrumentation and binary analysis to probe potential parallel parts (usually nested loop) of a binary executable and then polyhedral model is employed to detect whether there is data dependence or not among all iterations of a nested loop. Execution stage is discussed briefly in this paper. Although there are performance loss in binary translation, GXBit has an 8x speedup on average to X86 compute-intensive version through the result of running two applications taken from the CUDA SDK Sample and one test case from the UIUC Parboil Benchmark Suite.
Abstract: Based on cross-layer design, an optimization method was proposed, which combined the adaptive modulation and coding with symbol rate at the physical layer, and the packet size and sub-packet number at the data link layer. The parameters were jointly optimized to maximize the MIMO system throughput in the Rayleigh fading channel. Numerical results reveal that the optimization method can be adapted to the time-varying wireless channel and greatly improve the throughput compared with separate layer design. Besides, under prescribed error performance constraint, the larger the maximum number of transmissions, the higher the throughput. A small number of transmissions can offer a desirable delay-throughput tradeoff in practice.
Abstract: Aim at solving the existing problems of 3D model retrieval based on neural network, this paper proposes a new algorithm based on BP-bagging. Through bagging, the algorithm turns the weak classifier into the strong. As to feature extraction, the algorithm projections 3D model into six 2D images by six perspective points. Then transforms the images into frequency domain, gets the high dimension feature by two 1D Fourier Transformation, and compress the high dimension feature to the lower, inputs into the BP-bagging classifier to retrieval the 3D model. Proved by the experiment, the new algorithm is more effective in 3D model retrieval.
Abstract: In cloud computing, IaaS (Infrastructure as a Service) is the foundation of cloud service applications. It enables problems like resource allocation scheduling and bearing capacity to be further optimally solved. Therefore, a genetic optimized IaaS resource optimization evaluation approach is presented. This approach abstractly defines its 7 factors (properties) including usability of server, network performances, load balancing, anomaly notification mechanism, response time support, trusted security and measure payment, and explains quantitative calculation and expressions of each factor. And finally, tested by CloudSim, this approach is indicated to be feasible and effective for resource allocation.
Abstract: Complex networks are everywhere. This paper explores a new type of complex network, complex algorithm network constructed from evolutionary algorithms. The main aim of this paper is to investigate the topological properties underling the dynamics of the evolutionary algorithms. It uses complex network to describe individuals and their relationships while execution of a specific evolutionary algorithm. It introduces the main parameters in complex network theory to uncover properties of the dynamics of evolutionary algorithms. Our simulations are based on one selected evolutionary algorithm (Guo' algorithm in 10 versions) and one test functions. Data obtained through the simulations are processed graphically as well as statistically. Some novel properties of the complex algorithm network are uncovered, which has great implications for the design and improvement of existing evolutionary algorithms.
Abstract: In this paper, a smoothing algorithm for training max-min neural networks is proposed. Specifically, we apply a smooth function to approximate functions and use this smoothing technique twice, once to eliminate the inner operator and once to eliminate the operator. In place of actual network output by its approximation function, we use all partial derivatives of the approximation function with respect to weight to substitute those of the actual network output. Then, the smoothing algorithm is constructed by the gradient descent method. This algorithm can also be used to solve fuzzy relational equations. Finally, two numerical examples are provided to show the effectiveness of our smoothing algorithm for training max-min neural networks.
Abstract: In Mobile Ad hoc network (Manet), to solve the problems of the message receiver privacy exposure and signcryption (decryption) unfairness in existing signcryption schemes, a new ID- based multi-receiver signcryption scheme based on bilinear pairings is proposed. We also analyzed its security and efficiency. The result shows that the new scheme is provable secure in the random oracle model. It is significantly efficient and with low computation cost and is very suitable for secure communication in Manet. Then, the scheme can avoid the destruction of the malicious nodes. This scheme can satisfy the requirement of security and efficiency in real network environment, it is more propitious to applications in practice.
Abstract: As a main interference to track circuit signal, the interference of the traction current (ITC) will directly influence the transmission quality of track circuit signal and even lead to signal distortion which would endanger the traffic safety. The ITC has a complicated formation mechanism and it is affected by factors of train compositions, load and running speed, so it is hardly possible to establish accurate mathematical analytic model of ITC. This paper has analyzed the probability distribution characteristics of the ITC extracted from real train operating data collected by the cab signal system. A method using Kolmogorov�Smirnov (K-S) test and least square approximation has been proposed to establish the probability distribution model of the ITC. Feasibility and applicability have been confirmed by examples. The probability distribution model of the ITC has a significant importance for analyzing track circuit signals especially for interference signal simulation.
Abstract: The student organization plays an important role in the university. With the increasing competitions among students organizations, the organizers in the associations have to devote significant amounts of time to the meetings, which is often inefficient and hurting the working passion. In this study, we have applied facilitated collaboration theories and methods for student organizations to solve problems occurring in the online teamwork of university students� organizations. Our aim is to provide a more efficient process of collaboration which helps cutting down the time used for the meeting, as well as improving the quality of the teamwork. First, we have designed an online collaboration process for students� organizations for their collaborative work. Then, a pilot testing has been conducted successfully in a China university with the application of our designed process. The results show that it is useful for time decreasing, quality improving, effectiveness increasing and ideas generating.
Abstract: Neutron radiography was researched to detect the linear density of explosive in linear shaped charge (LSC), to determine its distribution uniformity and defective. The clear images of some samples were obtained by neutron radiography, and were processed to obtain the linear density of inner explosive. The defectives such as sparseness, discontinuity and cavity were shown clearly in the images. The method, with more intuitive and more reliable results, is more direct and simpler than existing quality testing methods for LSC, and most important, the method is a non-destructive one. This new method is of significance to the precise test of LSC and its application in precise blasting; in addition, it could be used in quality test of cord type explosive device.
Abstract: Fault diagnosis of analog circuits is essential for guaranteeing the reliability and maintainability of electronic systems. A novel analog circuit fault diagnosis approach based on greedy kernel principal component analysis (KPCA) and one-against-rest support vector machine (OARSVM) is proposed in this paper. In order to obtain a successful fault classifier, eliminating noise and extracting fault features are very important. Due to better performance of nonlinear fault features extraction and noise elimination, KPCA is adopted as a processor. However, a drawback of KPCA is that the storage required for the kernel matrix grows quadratically, and the computational cost for eigenvector of the kernel matrix grows linearly with the number of training samples. Therefore, greedy KPCA which can approximate KPCA with small representation error is introduced to enhance computational efficiency. Based on statistical learning theory and the empirical risk minimization principle, SVM has advantages of better classification accuracy and generalization performance. The extracted fault features are then used as the inputs of OARSVM to solve fault diagnosis problem. The effectiveness of the proposed approach is verified by the experimental results.
Abstract: 3D geological models become increasingly important and popular recently. But it is too difficult to share the models because of different models come from different modeling software. It is urgent to solve the problem for the unification of data management. Based on it, the paper explains basic construction and architecture if GeoSciML to discuss how to take advantage of this standard and define a whole geological model, such as drill model or a geological section model. The models provide the foundation to the 3D geological models sharing on the website. Meanwhile, by using of the new technology of Html5 and WebGL, 3D geological models can be shard in spite of different data formats. So it becomes impossible for us to use the geological models in different fields by the method.
Abstract: Refracturing is an important technique for developing low-permeability reservoir economically and effectively. It is the stress field around well bore and fracture that plays a crucial role in determining new fracture creation and propagation. The calculation analysis of the stress induced by pore pressure variation is critical to evaluate the stress field distribution. By employing finite element analysis software ABAQUS, three-dimensional numerical calculation model for stress induced by pore pressure variation is established. It is proved that on the path orthogonal to the initial fracture, the stress induced by pore pressure variation will reduce the value of difference between two horizontal principal stresses. For a point near the initial fracture, the induced stress is mainly generated at the initial stage after the first fracturing treatment.
Abstract: Data fusion involves multi-sources or multi-presentations of a single source to perform inferences which are more comprehensive and accurate than those of any single method. Thus, data fusion makes it possible to create a synergistic process in which the consolidation of individual data creates a combined resource with a productive value greater than the sum of its parts. While considerable research has been done on data fusion in the past, most of them performed in the field of multi-sensor fusion. There has been relatively less work conducted in a data mining context. As the form factor of computing and communicating devices shrinks and the capabilities of such devices continue to grow, it has become reasonable to imagine applications that require rich computing resources today becoming viable candidates for future sensor networks.
Abstract: For the performance evaluation of coal enterprises energy conservation and reduction of pollutant emission, a new attitude index group decision-making method is proposed based on trapezoidal fuzzy numbers. Under the condition in which the information of attributes weights and decision maker weights is entirely, the attitude index is introduced firstly. By solving the fuzzy object programming for the entirely information, the weights of the attitude and decision making matrix are determined. Secondly, the value of group risk attitude is got by integrating the attitude index of the decision makers, and the group comprehensive attribute values of each alternative and the priorities are achieved. At last, the practical example of performance evaluation for coal enterprises energy conservation and reduction of pollutant emission shows the feasibility and effectiveness of the proposed method.
Abstract: Along with the arrival of the low carbon economy, the Clean Development Mechanism project is more important to China. By analyzing spillover effects on Chicago Climate Exchange (CCX) carbon market of oil prices by GARCH, it found that the mean and volatility spillover effects between international oil price (WTI) and CCX carbon trade price were significant. The volatility of CCX carbon trading price was influenced itself, at the same time, it was influenced by the volatility of WTI oil price, and spillover effects from WTI fluctuation were more significant than the effects from CCX price fluctuation. International oil price rises will lead to the future price of carbon of Chicago Climate Exchange increases. The effects of international oil price fluctuations to the carbon market were positive, conversely the effects were non-significant.
Abstract: In this paper, Information System is introduced firstly, and then combining practical examples during our development of IS, on the basis of the establishment of the decision-making oriented query subsystem in large Information System, the query subsystem in the Information System based on decision-making is designed, moreover, the query subsystem is implemented following the query processing principle.
Abstract: In this paper, the operating principle of SEP in wireless sensor networks (WSNs) is analyzed, and a multi-hop routing scheme (MH-SEP) is proposed based on different spatial density of nodes. The network is to be divided into different sizes of areas according to the multi-hop routing scheme, the cluster heads use multi-hop mode of communication to send their data to the base station considering the heterogeneous of networks. This paper mainly analysis the performance of scheme based on different spatial density of nodes. The simulation shows that the advantage of the new scheme. On the one hand, with the increase of the monitoring area, the space density decreases, the advantage of the MH-SEP is more and more obvious, comparing with SEP, on the other hand, greater size of surveillance area and smaller the density of the network is, the more obvious improvement is made from the new scheme.
Abstract: Metal connectors in waste wood-based materials should be removed before reused. A multi-channel metal connector detecting system is presented, detecting the metal connectors in waste wood-based materials. It include three parts: a high precision sensor for detecting metal connectors in waste wood-based materials, a multi-channel data logging and processing system based on microcontroller unit, and a model for positioning the metal connectors in waste wood-based materials. The high precision sensor has a magnet and, Holzer element and a differential amplifier and peak detector circuit. The multi-channel data logging and processing system has a micro-controller unit, an 8-channel AD converter and some auxiliary circuits. The model shows the relationship between the positions of metal connectors with the signals from 8 sensors. The experimental results show that the maximal detecting height is 2.0cm for the 0.8х11mm nail, as well as 4.8cm for the 3.5�30mm nail and the position error between the real positions of the nails and those get from the model is less than 1cm. The system can meet the practical needs of the reusing waste wood-based materials.
Abstract: In order to determine the forest fire danger rating quickly while finding it during the aviation of forest protection, it is important to calculate the fire area. Until recently the area has been mostly calculated by people�s experience. With the mature of digital image processing technology, an assumption based on the forest fire area calculation of aerial images has been made, and the key point is how to identify and extract the fire area. In this paper, a extraction method on forest fire area based on the combination of color and gray level information has been proposed. First, the adaptive threshold should be found by applying the Otsu threshold method to a gray image. Then, the image analysis should be made by the RGB space component�s characteristics of the target images� color features. Compared with traditional image segmentation methods, experiments show that the proposed method has low false points rate, good area consistency, accurate and clear edge, and can be used to extract and segment the fire area of aerial images.
Abstract: The fundamental matrix plays an important role in the field of computer vision. How to estimate it accurately has become a major subject. In this paper, an improved approach based on the 7-point algorithm is presented. In this method, initial estimations of the fundamental matrix are provided by the 7-point algorithm. Then an optimal fundamental matrix will be selected which offers relatively low mean, low maximum and low standard deviation of the discrepancy between points and epipolar lines. Experimental results on synthetic data and real images show that the proposed algorithm is superior over the 7-point algorithm in terms of accuracy and anti-noise ability.
Abstract: Hiding technology is a newly developed discipline that concludes many subjects and covers many fields, and it hides the transferring information in the carrier, which greatly increases the safety of information transmission. In order to hide and transfer information more effectively, the paper researched the cloud algorithm in the model of information hiding. It also studied the model of information and improvement of the algorithm. With experiments, the algorithm proved to be applicable and could improve the safety and reliability of information hiding.
Abstract: The mobile nodes perceive the real-time routing information of different sections, and analyze the reliability of the movement direction of nodes, data exchange, and transmission delay and path failure. By combining movement direction, speed and locations, the routing path is adaptively updated according to the network states of the sections so as to achieve effective message delivery. In this paper, a real-time information oriented service-aware routing algorithm (RTIA) is proposed. The transmission mode of the RTIA is no copy, real-time information oriented, and service aware, which can effectively improve the message delivery rate and reduce delay. The simulation results prove the superiority of the RTIA algorithm. the merchant can trace the traitors from a pirated copy by means of the embedded unique fingerprint, while the customer is immune of being framed due to the asymmetric property. First, multicast that is an efficient transport technology for one-to-many communication is exploited, which can reduce the bandwidth usage significantly. Second, symmetric encryption instead of public-key encryption is performed on the multimedia content, which can reduce the complexity and communication cost.
Abstract: The purpose of our study is to try to extend the life of the sensor network, without affecting the uses functions in wireless sensor networks. As our method reduces the amount of data communications and reduces the energy consumption of wireless sensor networks significantly, the compression problem in the data transferring process is solved. From the experiments, we conclude that this algorithm improves the decoding accuracy and improves the survival time of the network. Therefore, it has a great potential in the wireless sensor networks applications.
Abstract: Although the intelligent design system is widely used in modern mechanical products design, the optimization of mechanical products design parameters and the method of knowledge acquisition etc. remain the key factors that restrict the development of intelligent design system. On the basis of analyzing data mining methods and knowledge based engineering (KBE) principles, an information model was built to find out the minimum attribute set of mechanical products design parameters with the improved ID3 algorithm. Then a large numerous of finite element simulation results, combined with the rough set theory and data mining technology, was used to extract knowledge and rules and to fulfill the knowledge expression and reuse. Finally a gantry crane intelligent design system was established by adopting automation technology with the secondary development of CATIA and integrating the KBE extended module with CATIA. The example shows that the proposed gantry crane intelligent design system makes up for the deficiencies of the traditional intelligent design system and improves the design efficiency and the ability to respond to market.
Abstract: Evaluating competitive edges plays a key role for logistics enterprises and it is one of the difficulties and hot research fields for the researchers related. The paper presents a new model for evaluating competitive edges of logistics enterprises based on the principle of value network and improved BP neural network. First an evaluation indicator system of competitive edges of logistics enterprises is designed through analyzing the characteristics of the evaluation indicator with more details; Second, Legendre wavelet is used to speed up the convergence of BP neural network algorithm and based on this the paper advances a new competitive edge evaluation model for logistics enterprises. Finally, four Chinese logistics enterprises are taken for examples to verify the validity and feasibility of the model and the experimental results show that the model can evaluate the competitive edges of logistics enterprises practically and can help the logistics enterprises to take concrete measures to enhance its competitive edge.
Abstract: In supply chain relationship governance, trust is considered as an important governance mechanism to decrease opportunism. Trust provides commitment, improves transaction efficiency, and implements the supply chain information system. The paper constructs a three-stage dynamic model based on the impact of trust governance on supply chain information system investment. It analyzes supply chain overall value creation route and features based on trust governance. The results show that trust governance can make supply chain performance Pareto optimal.
Abstract: With the mobile phone has been developed rapidly now, 3D reconstruction applied in this mobile device becomes a possible. Based on the photometric stereo, a 3D model reconstruction algorithm had been put forward, which can be run on mobile-phone with android system. In the dark environment, through several light sources provided by the mobile-phone screen, multiple perspective images of an object can be captured, then each value of depth can be calculated. Finally based on depth data, OpenGL ES have been used to map out the object model. Through experiments, the proposed algorithm is effective.
Abstract: With the rapid expanding of the integration of telecommunications networks, cable TV networks and the internet, the efficient and energy-saving video transcode service platform is in great demand. Such a platform together with workload prediction is proposed in this paper. A new accurate multi-scale prediction method is used to predict the execution time of transcode tasks in this platform. Special distribution and management scheme is applied to serve the purpose of energy optimization. With several experiments, it is proved that the proposed platform can be used to predict the workload of the transcode tasks accurately and save the energy efficiently by task scheduling optimization.
Abstract: The current fault diagnosis methods based on conventional BP neural network and RBF neural network exist long training time, slow convergence speed and low judgment accuracy rate and so on. In order to improve the ability of fault diagnosis, this paper puts forward a kind of fault diagnosis method based on RBF Neural Network improved by PSO algorithm. By using particle swarm algorithm�s heuristic global optimization ability, the connection weight values of RBF neural network are optimized. And then combined with RBF neural network�s nonlinear processing ability, transformer fault samples are trained and tested. The experimental results show that, compared with conventional fault diagnosis methods based on BP neural network and RBF neural network, the method based on RBF Neural Network improved by PSO algorithm can effectively avoid the problems of RBF neural network�s instability, RBF neural network easily falling into local minima and low correct diagnosis rate, which can effectively improve the convergence speed and the efficiency of fault diagnosis.
Abstract: In this paper, an online methodology for the detection of unsafe driving states while driving is presented. The detection is based on the multi-sensor approaches, including gyrometer, accelerometer, radar, video and so on. Various information comes from both the ego vehicle and its surroundings are fused to gain a comprehensive understanding of driving situations. Using subspace modeling techniques, we propose an unsupervised learning algorithm to perform the unsafe states detection. The feature space are decomposed into the normal and anomalous subspace, where the normal space are assumed as the major components of the driving patterns, and significant deviations from the modeled normal subspace are signaled as unsafe states. In addition, the algorithm works in a real-time way incorporating a implementation of sliding window, which enable the method to adapt over time to address changes in the new emerged driving situations. We have implemented our algorithm with a prototype system installed in a transit bus, validations are performed in real driving situations. Our experimental results demonstrate the effectiveness of the approach on forward risk predication. We gain a timely predication while with a low false positive when there occurs conflicts between the ego vehicle and front vehicles.
Abstract: Control flow obfuscation is used to obfuscate program execution flow, thus preventing reverse engineering of software. However, the code size and execution time will be increased greatly after program is obfuscated. Since opaque predicate is difficult to resist the dynamic attack, the paper proposes the scheme about control flow obfuscation based on garbage code. The algorithm combines branch garbage code with loop garbage code, and hash function is introduced to limit the number of insert operation about code. Thereby controlling the growth of the code size and reducing the accuracy of program analysis and resisting tampering attack. Experimental results show that the obfuscation algorithm can control performance overloading effectively that is brought by obfuscation transformation, while preventing a variety of reverse engineering attacks effectively.
Abstract: Mechanical ruled diffraction grating is a kind of super-fine technology. During the process, the material distortion happens along with the geometry nonlinearity and material nonlinearity. In this paper, start from the dynamic assembly , measure the mechanical property by nano-indenter and scratching test , establish the finite element simulation model based on Deform software, analyze the main factors which affect the wear of linear graver, simulation analyze the wear of graver on flow velocity of material ,stress change and temperature change , predict and validate the area where the wear is most serious .It drew the conclusion that the wear was prior to appear on main and side blade, optimizing the edge radius and increasing the surface roughness is effective method to improve the anti-wear ability of tool.
Abstract: Combined with human vision principle, this paper firstly gives the definition of image frequency based on image local gradient and uses it to replace the image gradient in the traditional total variation (TV) model. And then tensor voting principle is introduced into the TV model and a novel texture image denoising method using the combination of tensor voting and total variation minimization is proposed. In the new model an image structure saliency function is given to replace the lagrangian multiplier in TV model, which can adjust the regularizing term and fidelity term according to the different areas of image structure features. Theoretical analysis and numerical experiment show that compared with other existing approaches the new model has an obvious anti-jamming capability and can accurately and subtly describe the sharp edges, feature structures and smooth areas, and can overcome staircase effect and over-smoothing generated by other TV models. Especially for the images with rich texture features and low signal to noise ratio (SNR), it can remove the noise while preserving significant image details and important characteristics and improve the image denoising effect.
Abstract: Knowledge representation and reasoning model play an important role in multi-expert system. In this paper, a new knowledge representation method, factor neural network theory(FNN), is used in multi-expert system for oil-gas reservoir protection. Firstly, by introducing factor and factor space theory, knowledge representation model based on factor state space is presented. Secondly, analog factor neural network structure is analyzed to solve reasoning problem of expert system. For illustration, fuzzy reasoning theory is utilized in factor neural network to verify the effectiveness of our proposed method. The application of the expert system shows that factor neural network theory is valid in knowledge representation and reasoning model and blackboard mechanism based on point-to point can solve the communication problem among sub-expert systems better. As a result, our proposed method based on FNN can effectively improve the accuracy of inference results.
Abstract: Based on the energy intensity data of period 1990-2008, this paper uses impulse response function and variance decomposition model to empirical analysis the main influencing factors and effects of energy intensity,. The empirical results show that: the energy intensity of itself, and the proportion of secondary industry have a larger impact on energy intensity; the change of energy price and technological progress also play a certain impact on energy intensity; and the link with the internal relations and interaction mechanisms, which can play an active role in improving energy efficiency .
Abstract: Ad Hoc network is a multi-hop wireless network, consist of the self-organizing wireless mobile nodes and without fixed infrastructure, but its openness brings �stranger access� problem. Trust management strategy based on trust evaluation can solve such problems. By entrusting trust certificate with trust value, access control policy can be passed to "strangers", and make them able to access the nodes in Ad Hoc network. In order to achieve the trust management based on trust evaluation, this paper proposes policy language for trust management in Ad hoc network. ATPL is defined based on constraint Datalog, realizes the three trust delegation chain of TEAMA by entrusting authorization rules, and completes the calculation of certificate execution and delegation trust value at the same time. This paper defines the syntax of ATPL, discusses the safety of ATPL rules, and proposes the basic safety convention of ATPL and safety statute. By the discussion of ATPL explanatory semantics, this paper solves the legacy security issue, and proves that ATPL rule is safe under various security constraints defined herein.
Abstract: Automatic recognition of features from CAD models is one of the key technologies for mesh generation. This paper studies the algorithm for automatic recognition of features from CAD models in STL data format. Firstly, a new STL data file with topological connection is constructed for the calculation. Secondly, the coplanar relationships among all the triangle facets are constructed initially. The third step is to determine whether all the boundary edges on the same face can make up an end to end closed circle. And the boundary edges are filled out by combining the edge-based method and the face-based method. Fourthly, the solid model face, feature lines and feature point are recognized. Finally, two examples are given to prove the feasibility and validity of the algorithm.
Abstract: Chaotic particle swarm optimization (CPSO) algorithm is proposed to optimize the Kriging model, which can improve the precision of curve fitting. A typical example is selected to demonstrate the advantage of the optimized Kriging model, compared with other curve fitting tools.
Abstract: Image matching is a key part of many remote sensing image processing and image analysis. The traditional gray correlation matching algorithm based on corner point because they do not have the rotational invariance requires manual intervention to roughly match can not be automated. SIFT (Scale invariant feature transform) algorithm to solve the image rotation, scaling and other issues, but for the geometry characteristics clearer, richer texture information in terms of the high-resolution remote sensing images, the algorithm consumes more memory, speed of operation is slow the problem is very prominent. The combinations of two proposed image matching algorithms are based on Harris corner and SIFT descriptor. The experimental results show that, compared to the SIFT algorithm, this algorithm significantly cut computation time, while preserving the rotational invariance of the SIFT descriptor and adaptation to light gray correlation algorithm can not overcome disadvantage of fully automatic, in the high better resolution remote sensing image matching.
Abstract: In this paper we investigate the long-term relationship between the economic growth in China and the number of people who died in traffic accident by using the time series data in the period from 1990 to 2008 in China. Our study found an inverted U-shaped relationship between the economic growth and the number of people who were killed in traffic accidents. The number of death in traffic accidents increased with the development of economy in early stage. However, as the economy has been developed into certain level, the mortality rate of the traffic accidents start to decrease, which clearly indicates that the Smeed�s law can also be applied in China. Besides the level of economic development, we also analyses some other factors that may influence traffic accidents. These factors can either accelerate or decelerate the inverted U-shape relationship.
Abstract: The aim of this paper is to deal with a class of multiobjective semi-infinite programming problem. For such problem, several necessary optimality conditions are established and proved using the powerful tool of subdifferential and the generalized convexity namely generalized uniform convexity. We also formulate the Wolf type dual models for the semi-infinite programming problem and establish the corresponding duality theorems.
Abstract: This research studies a case that two enterprises produce two different but substitutable goods. The consumer demand depends on two kinds of factors: prices and service levels of the product and substitutable product. This article is based on three scenarios: Nash Equilibrium, Enterprise Alliance and Stackelberg. Game-theoretic framework is applied to find the optimal solutions for every participant. This research has conclusions as follow. Firstly, if market base of one product increases or one product has some economic advantage in providing service, it benefits for itself but is bad for substitutable product. Secondly, enterprises will provide fewer services, gain fewer customers, but earn more profit in Enterprise Alliance than in Nash Equilibrium. Thirdly, when one enterprise is dominant, if substitutable goods influence its demand greatly, it will take the advantage to earn more profit; otherwise, it will give up the advantage to seek the Enterprise Alliance.
Abstract: Based on the analysis of known literatures, this article constructs the sustainable development evaluation model of real estate market from four aspects, including the harmonious development with local economy, reasonable prices, structural balance and financial coordination. Second, This article empirical also analyzes the healthy development of Nanchang real estate market based on the BP neural network model. The results show that the Nanchang real estate market is healthy from 2008 to 2010. Finally, we explained the reasons based on the empirical results.
Abstract: The adaptive stabilization problem of a class of high-order nonlinear systems with uncertainties is presented in this work. The difficulty of our design is that the Jacobian linearization of the system under consideration is uncontrollable. The total design of the controller was divided into two steps. First we study the nominal system without uncertainties. Then we adopt a Radial basis function neural networks ( RBF NN ) to approximate the system uncertainties, and design an robust adaptive control law to stabilize the system using the so-called integral sliding mode design approach based on the RBF NN. The reachability of the sliding surface and the convergence of the weight of the neural networks are showed by the Lyapunov theory. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.
Abstract: This paper presents a new PSO-based optimization DBSCAN space clustering algorithm with obstacle constraints. The algorithm introduces obstacle model and simplifies two-dimensional coordinates of the cluster object coding to one-dimensional, then uses the PSO algorithm to obtain the shortest path and minimum obstacle distance. At the last stage, this paper fulfills spatial clustering based on obstacle distance. Theoretical analysis and experimental results show that the algorithm can get high-quality clustering result of space constraints with more reasonable and accurate quality.
Abstract: The computation of the simulation models is complex and the behavior sequence must be updated dynamically in AUV simulation system. The simulation system composability development framework is provided to solve these problems. The calculus is extended to describe the time properties of models in the framework. And simulation models are formal described by the extended calculus. Then the behavior composability is validated by reduction and bisimulation of calculus. The framework is validated by the simulation composition example and the construction of AUV simulation test system. The framework can complete the description and the dynamical composability of various models in the distributed real time simulation system.
Abstract: Aperture coupling is the main coupling mode through which electromagnetic pulse (EMP), ultra wideband (UWB) and high power microwave (HPM) can disturb or damage electronic equipments of the missile enclosure. To get knowledge of the coupling effects of apertures with different shapes and positions, coupling processes of HPM into the missile enclosure are investigated. The simulation results indicate that: the axial direction coupling coefficient is larger than the radial direction coupling coefficient. So to damage the electronic system of the missile better, the incident wave should be axial direction.
Abstract: With the development of water shipping technology, research and construction of the waterway information technology has received much more attention. However, smart shipping system still faces many problems, such as the shipping management is sufficiently sophisticated the services are not comprehensive, our travel is not humanistic, and the security is not enough. As an emerging interdisciplinary research focus, the internet of ships is proposed to solve these problems. Based on the analysis of the construction of the shipping information management and service, as well as the main problems existed, this paper focuses on the basic architecture and features of the internet of ship, explore the security problem existed in the internet of ship, and list issues need to be addressed in terms of security of internet of ship clearly.
Abstract: Multidimensional queue management and scheduling system based on IXP2400 network processor ,is used for network flow of many attribute to manage and schedule. The system has N queues as well as the number of network package attribute .Each queue set as equal Mi queue as i attribute value ,reached the packet is allocated by attribute and attribute type to manage and schedule in order to supply different servers. The system at most need MN queue complete classify and control detailed granularity, and make it simpler than current technology. The system can apply for many aspects, for example QoS guarantee, classified servers, band share, classified rate control and filter, etc.
Abstract: This paper introduces the basic conception of embedded system, ceramic machine cloth system work flow as well as in this system the use of hardware Wincon8000 series automatic controller and i8092F motion control module and software development using embedded Visual C++ platform. The design and implementation of system in the preservation and processing of motion control parameters and the users' information database module、user management module as well as the control of servo motor motion control module. These modules are used GUI as the operation interface, facilitate the enterprise general operators use. Due to the adoption of pulse train output drive servo unit, improve the anti-interference ability greatly, and also improves reliability at the same time. Using PAC as the automatic controller can greatly reduce the cost, and it is easy to expand, and also the ceramic production enterprises are of great significance.
Abstract: Cluster analysis in data mining is an important research field; it has its own unique position in a large number of data analysis and processing. The research about Clustering makes a spurt development after more than 20 years, and then produced a variety of types and application of the clustering algorithm. Data Mining is one of the pop researches in information industry last few years. This paper analyses some typical methods of the cluster analysis and represent the application of the cluster analysis in Data Mining.
Abstract: Dump engineering is an important part in production processes of open-pit mining. In order to complete the mine production tasks smoothly, it is necessary to make the most of land possessed by the dump in an economical and reasonable way. In the paper, we use the dump of Qidashan iron mine which belongs to Anshan Iron and Steel Group as an engineering background to achieve the aim of improving the dump capacity. Basic on the limit equilibrium method to analysis on dump slope parameters which must be inversed in the displacement and back analysis, we constructed the Knowledge Base for the inversion of slope mechanical parameters by using orthogonal experiments and numerical simulation, and substituted the in-situ monitoring data after establishing the neural network prediction model. Then we inferred the equivalent mechanical parameters of scattered particles of dump, it can provide a reliable calculation parameters for slope design, thereby maximize the dump capacity and improve the open pit�s economic benefits.
soil moisture, light intensity, ambient temperature and other environmental factors, and coming with fullspeed USB (OTG) interface and Ethernet 10 /100M MAC modules to achieve the exchange of data with removable storage devices and the Internet connection, using the touch screen to set up and display of the relevant parameters. For the host computer using the B/S mode, the user can access to remote data and control of greenhouse. Practice shows that the application of highly integrated and broadband technologies reduce system costs, improve communication quality and system stability.
Abstract: It is well known that solutions of k-means algorithm depend on the initialization of cluster centers and the final solution converges to local minima. In this paper, we introduce a clustering approach that combines ideas from modified particle swarm optimization (PSO) and k-means. The potential benefits of this technique are investigated by incorporating the multidimensional asynchronism and stochastic disturbance method to the velocity in the particle swarm optimizer to create new modifications of the clustering for k-means algorithmic model, which could keep populations diversity and ability of search global optimum as well as solve the problem of the curse of dimensionality. The simulation results of web log dataset show that the proposed algorithm, compared with the five previous developed PSO techniques, provides enhanced performance and maintains more diversity in the swarm.
Abstract: Within the rapid industrialization, the noticeable environmental problems are prominent in the world. The eco-industrial park (EIP) is a new form of industrial organization. This article used the social network analysis (Social Network Analysis, SNA) to analyze the structure of the recycling production chain in Guigang (China), proving useful in the analysis of the structural characteristics of the network and the different actors play. An index system including density of a network, clustering coefficient, average path length, centrality and core-periphery structure is established to measure the structural features. This paper concludes that, SNA provides a comprehensive approach and analytical framework to understand the structural elements of recycling production chain, and the analysis can help to clarify some light structural elements conditioning the operation of the network and a different actor to play the role.
Abstract: Landslide disaster is a kind of main geological disasters. Countries in the world are all harmed by landslide disaster seriously. Achieving landslide�s 3D dynamic simulation is helpful for the relevant regulatory authorities to guide the Prevention and Treatment of landslide disasters. For simulating landslide more intuitive and more realistic, and predicting the loss situation, we achieved landslide�s 3D dynamic simulation based on landslide information extraction, modeling, finite element subdivision, and applying motion-displacement equation. At the same time, we take landslide disaster effect factors into consideration as the parameters variable of motion-displacement equation. The effect factors include lithology, soil moisture, vegetation coverage, acceleration of gravity and terrain and so on. At last, the simulation result would be taken as a guide to provide reference in landslide disaster relief. As a result, we can realize the dynamic simulation of landslide process, calculate area influenced by landslide, by calculate landslide�s motion trajectory. On basis of it we can reduce loss amount of our economy caused by the landslide also.
Abstract: A comparative study on vector controlled Permanent Magnet Synchronous Motor (PMSM) drive with Proportional-Integral (PI) speed controller for long cable implementation. As reported by previous research, long cable caused an over voltage problem at motor terminal and could be double from the pulse output voltage at inverter terminal. However, this paper addresses another important application issue, namely increased losses in the motor drive system caused degrade and instability of the speed performances when long cable lengths are required. Two different length cables which are 1 meter and 10 meter connected from dSPACE to PMSM and the results are compared and evaluated. A DS1103DSP embedded with the Real-Time Interface (RTI) provided by dSPACE, hysteresis current controller scheme and PI control has been developed for a high performance control for PMSM drives The robustness of different length of cable over load disturbance, step response and change at command setting with inertia variations are studied.
Abstract: The work presented in this paper is devoted to establish the theoretical model for the evaluation of the behavior of redefined methods in a subclass with the behavior of the original methods in the super-class using the inheritance mechanism. We analyze firstly, how a redefined method can use the specification of its corresponding method in the super-class. Secondly, we present the relationship between the test model of a redefined method in a subclass and the original method in a super-class. Our approach proposes a new concept which compares the behavior of methods, and gives the conditions where this comparison can induce a similar behavior.
Inheritance, Formal Specification, Conformity Test, Constraints Resolution, Valid Data, Invalid Data, Test Data Generation.
Abstract: Support Vector Domain Description (SVDD) is inspired by the Support Vector Classifier. It obtains a sphere shaped decision boundary with minimal volume around a dataset. This data description can be used for novelty or outlier detection. Our approach is always to minimize the volume of the sphere describing the dataset, but following the value of a parameter, which controls its volume and plays a compromise between the outlier�s acceptance and the target�s rejection. Simulation results on seven benchmark datasets have successfully validated the effectiveness of the proposed method.
Abstract: The performance of the kernel-based learning algorithms, such as support vector domain description, depends heavily on the proper choice of the kernel parameter. It is desirable for the kernel machines to work on the optimal kernel parameter that adapts well to the input data and the pattern classification tasks. In this paper we present a novel algorithm to optimize the Gaussian kernel parameter by maximizing a classical class separability criterion, and the problem is solved through a steepest descent algorithm, Simulation results on six benchmark datasets have successfully validated the effectiveness of the proposed method.
Abstract: The development of distributed testing frameworks is more complex, where the implementation process must consider the mechanisms and functions required to support interaction as long as the communication and the coordination between distributed testing components. The typical reactions of such systems are the generation of errors �set: time outs, locks, observability, controllability and synchronization problems. The first contribution in this study present a way to control the test execution of distributed testing components by introducing the synchronization messages and we show how the problems of control and synchronization can be solved by the same process. In other side, we show that in practice the distributed testing process must not only check if the exchanged events have been observed, but also the dates when these events have been occurred and then the distributed testing frameworks must consider some timing constraints.
Abstract: Constructing timetable for nurses in hospital is a challenging job for the head nurse or nurse manager as the task is done repeatedly for every specified period. It requires a lot of time and effort for generating a good and fair timetable. In order to overcome the problem, a cyclical nurse schedule using a 0-1 goal programming is proposed. The timetable will be the master plan that would help the head nurse or nurse manager to schedule the nurses in a yearly basis. The proposed model has also managed to satisfy the hospital�s policies and the nurses� preferences. The model has provided an unbiased schedule and thus leads to an overall satisfaction and fairness to the nurses. The developed model has been solved using LINGO software and the result is found to be better compared to the present method used.
Abstract: An investigation of magnetic current distribution of CPW fed arrow shaped UWB antenna is reported. This enables the precise prediction of working principle of UWB antenna, since the traditional UWB antenna simulations ignore important details. The computation was performed numerically for an arrow shaped antenna at different resonant frequencies at various input current phase changes and was found that the traveling wave characteristic of the antenna exhibits the UWB property. The computed result is compared with different geometries, such as circular disc monopole and eared antenna.
Abstract: Attribute selection also called as feature selection is a preprocessing technique to select a set of features or subset of features from the available large collection of features. An artificial neural network is the simulation of a human brain which learns with experience. Efficiency of a model or a system in terms of cost, time and accuracy will greatly improve if proper features of a system are selected. This proposed method uses Artificial Neural Network for selecting the interesting or important features from the input layer of the network. A Multi Layer Perceptron Neural Network is used for selection of interesting features from a Ischemic heart data base with 712 patients. Initially the number of attributes was 17 and after feature selection the number of attributes was reduced to 12. All combination of features is attempted as Inputs of a Neural Network. When the input features become 12 the predicted accuracy during training is high as 87.36% using 10 � fold cross validation. Further removal of features lowers the accuracy and hence the interesting attributes selected for prediction is concluded to be as 12 for this Ischemic Heart Disease data set.
Abstract: With the intention of satisfying mobility requirements for trustworthy, healthy and secure transport, there are more considerations on the establishment of intelligent transport systems (ITS) currently. Advanced traveller information systems (ATIS), as a part of ITS, is to provide travel time information as precisely as possible. Basically, there are reasons leading to delay in bus arrival time, e.g. traffic jam, ridership distribution, and climate situation. Consequently, these issues impress on growing travellers waiting time, postponement in timetable, rise in transit�s expense and private vehicles� uses, dissatisfaction of passengers and reduction of passengers, providing of precise transit travel time information are significant since it will result in further transit passages and upsurge the acquiescence of passengers. In this paper, we first explore the importance of arrival time for passengers and present a new taxonomy of bus arrival prediction models, and then review some recent works. Finally, summary of the main technologies illustrate big picture of the studies.


This course is designed for engineers who are involved in the design and manufacture of components or system.
The course is to convey an understanding of the requirements of PPAP for production and service commodities to the automotive industry who subscribe to QS9000.
The scope Definition and purpose of PPAP.
When Production Part Approval is required.
Requirements for Production part Approval.
The Eleven Process Requirements of PPAP.
Records and Master Sample Retention.


text:
Felipe de Jesús Andrés María de Guadalupe de Iturbide y Huarte (Ciudad de México, 30 de noviembre de 1822-Matamoros, Tamaulipas, 19 de noviembre de 1853) fue hijo del emperador Agustín I de México y de su esposa Ana María Huarte, recibió el título de príncipe mexicano durante el Primer Imperio Mexicano por el Congreso Constituyente.

Decreto
El Soberano Congreso Mexicano Constituyente decretó el 22 de junio de 1822 lo siguiente:

Tratado de Límites Entre México y Estados Unidos
Felipe de Iturbide fue intérprete y traductor de la Comisión de Límites Mexicana Sección Matamoros del Tratado de Paz, Amistad, Límites y Arreglo Definitivo entre los Estados Unidos Mexicanos y los Estados Unidos de América que se firmó en la sacristía de la Basílica de Guadalupe en la Ciudad de México el 2 de febrero de 1848. En este documento se especificaba la frontera entre los dos países, que incluía la pérdida para México de más de la mitad de su territorio, que se agregaría a los Estados Unidos.

En el artículo cinco del tratado, se definían los límites como sigue:

La Comisión de Límites Mexicana quedó integrada de la siguiente manera:

Primera Etapa

Segunda Etapa

Ascendencia

Referencias

Nacidos en Ciudad de México
Familia Iturbide
Fallecidos en Heroica Matamoros

redpajama_set_name: RedPajamaWikipedia


text:
David Katruk, 17 years old, entered the Shchetinin's school last year, and today talks about his achievements after half a year of studying.
Q: What knowledge do you have as a result of studying in this school?
The knowledge consists of 2 types: school program and internal self-knowledge.
Q: Tell us about school program knowledge.
I supposed to be in 10 grade, but I am now in 11th and is preparing for the final Unified State Exam.
Q: How your knowledge level is evaluated in the school?
We take a week course of some discipline and then we have test. So, we have a lot of tests.
Q: In what form these tests are held?
Very different forms. It could be a written test or in a form of a game.
Q: What is the most valuable knowledge or skill you received in this school?
The knowledge that I am capable of anything. That helped me to become more self-confident and overcome the fear of public. I also learned to communicate and build relationships.
Q: How did you build self-confidence?
Through practical lessons and my own internal work.
Q: Now let's talk about the founder of this school. Can you describe Mikhail Petrovich Shchetinin?
He is in the old age but he looks young. He improves his endurance and jogs every day. He is a cheerful and joyful person, and it is very pleasant to communicate with him.
His vision of a system of education is based on the fact that he understands the value of every child. He believes that between 12-16 years of age the most important period of a person's life passes. At this time, internal images are laid, goals are set and guts are built on which the quality of whole future life will depend. If these elements are properly set, then the person will be successful.
Mikhail Shchetinin knows how to immerse a person into any state of mind with words. And he teaches us that each letter represents not only sound, but also carries an image. The word is a set of images, and a sentence is a system of images. Our success in life directly depends on how we speak and what images we propagate. In the lessons of the Russian language, we analyze the meanings and images of the letters.
Q: Is it possible to build such school anywhere without participation of Mikhail Shchetinin?
Absolutely! The main thing is to understand the educational structure and build an image of the school.
Prepared by Victor Rod
http://ecology.md/
Please read articles about Shchetinin's school:
1. Shchetinin's school - Embracing the Immeasurable.
2. Mikhail Shchetinin: "Only idiots learn by making mistakes".
3. The feed back from the visitors to the Kin's School - Lycee School at Tekos.
4. On the pathway to Man.
Ringing Cedars Movement | Dolmens of Russia | The Book of Kin What are Kin's Domains?
© Copyright RingingCedarsofRussia.org

redpajama_set_name: RedPajamaCommonCrawl


April 26th was both Arbor Day and Mosquito Squad Service Day, a day in which our Mosquito Squad locations give back to their local communities. We were thrilled that several of our locations sent us pictures and details of what they did on this special day, and of course we wanted to share it with all of you! Here are some of the stories from across the country.
Members of the Mosquito Squad of Chicago team spent the day at the Hines Fisher House. Led by Dominic Caliendo, the volunteers planted trees and assisted the Fisher House team with their landscaping. The Fisher House Foundation provides low cost or free housing to veterans and military families receiving treatment at military medical centers.
Dan and Tammy Buchanan of Mosquito Squad of Southeast Minnesota dedicated their Service Day project to a local high school student that had passed away in a car accident. The snow crabapple tree was planted at Byron High School in memory of DJ Logan. As Dan explains: "Here, the company's community day of service became DJ Logan's memorial project. It took on a life of its own." Please read this article to learn more about this wonderful project from Mosquito Squad of Southeast Minnesota.
Mosquito Squad of St. Charles and West Counties near St. Louis donated a tree for the Citizens Committee for the Environment. The Yellowwood tree was planted by a local Girl Scout Troup in the area.
Carson and Martha Baur of Mosquito Squad of Greater St. Louis did two projects for Service Day! For the first, they adopted a new tree in Forest Park in the heart of the city. In addition to adopting this maple tree, the Mosquito Squad of Greater St. Louis went to the Korean Memorial where they mulched and cleaned up around the Memorial. Doesn't it look great?
Ken and Julie Wuerfel of Mosquito Squad of Southwest Michigan planted a tree with a class of elementary school children. The class was able to choose the type of tree. A framed picture with the kids was given to both the school and the nursery that donated the tree.
To read about the Mosquito Squads of North and South Richmond's project, read this blog that we posted on the actual day.
We are so proud of our Mosquito Squad locations and their dedication to their local communities. It's nice to the be the local resource for tick and mosquito control, but we feel it is important to also be part of the community and our franchisees are.
Thank you to all of our volunteers who helped celebrate this great day of service. To learn more about Mosquito Squad and our service, visit our website or contact your local mosquito control provider!


text:
Home Artist celebrities Kylie Jenner and Travis Scott Celebrate Father's Day with Daughter Stormi by...
Kylie Jenner and Travis Scott Celebrate Father's Day with Daughter Stormi by Sharing New Photos: See Pics!
Happy Father's Day, Travis Scott! Kylie Jenner and Travis Scott Celebrate Father's Day with Daughter Stormi by Sharing New Photos: See Pics!
Kylie Jenner is celebrating her boyfriend and baby daddy Travis Scott on Instagram.
The Kylie Cosmetics CEO, 21, share photos of the Astroworld performer. 28 and their daughter Stormi Webster, 1 in honour of Father's Day. In her post, Jenner wrote, "I love the love you share with our daughter," as part of her caption.'
The mogul then shares two black-and-white photos of Scott with Stormi as a newborn. And another one that looks a little more recent, with the toddler standing with the help of her dad.
At the time of writing, the photo receives more than 90,000 likes on her Instagram page. The post also receives more than 700 likes from Jenner's 138 million followers.
"You guys r so cutely I hope u have a gr8 fathers day," one follower wrote.
"Aww y'all are the cutest family," another follower chime in.
This is the "SICKO MODE" rapper's second Father's Day. Since he and Jenner welcomed Stormi into the world in February 2018. According to Fillgapnews, Scott shares his own set of photos of Stormi on his Instagram page. The posts show Stormi riding a horse and the two taking a nap with her Sesame Street toys.
"The day mommy made me a daddy I couldn't wait to spend every day with u to conquer this planet." the rapper captioned.
Since becoming parents, both Scott and Jenner have taken opportunities to gush over Stormi online. Both celebs have shared important milestones in Stormi's life. From her first few steps to the toddler sounding out words.
Happy Father's Day @travisscott 🖤 I love the love you share with our daughter. 🖤🖤 Thank you for all that you do.. today we celebrate you .. 🖤
A post shared by Kylie (@kyliejenner) on Jun 16, 2019 at 7:51pm PDT
Stormi's first birthday
On Stormi's first birthday, Scott shares multiple photos of his daughter sitting on a pig chair as multiple toy pigs surround her. In another photo, Scott is giving Stormi some orange juice from a glass. In his caption, the rapper refers to his baby girl as, "THE SMARTEST AND LOVING BABY EVER."
A post shared by Kylie (@kyliejenner) on Nov 22, 2018 at 10:01am PST
Jenner and Scott welcomed their daughter into the world just one year after the pair reportedly became an item. According to Entertainment Tonight, the famous pair faced a bump in their relationship. After Jenner found suspicious text messages on Scott's phone.
The couple reportedly got through the drama, though. And is back on track after the Keeping Up with the Kardashians star had a "bae-cation". And brought Stormi along on the trip. Kylie Jenner and Travis Scott Celebrate Father's Day with Daughter Stormi by Sharing New Photos: See Pics!
"Travis, Kylie and Stormi spent some time together on vacation as Travis had a break from some shows," a source said at the time. "It was a really great vacation."
Fans of Jenner, Scott, and Stormi can keep up with the famous family on Instagram.
They have been dating since April 2017. And 10 months later, Kylie Jenner, 21, and Travis Scott, 28, became parents to daughter Stormi Webster, one.
On Father's Day on Sunday, the couple took to Instagram to celebrate the special holiday, which honoured Travis' fatherhood. With her posts, make-up mogul Kylie share two photos of her boyfriend with their daughter, at different stages in her life.
In celebration of the annual dad-centric June holiday, Scott, 28, spent Sunday with the two most important ladies in his life. Girlfriend Kylie Jenner and their 16-month-old daughter, Stormi.
"Happy Father's Day @travisscott 🖤 I love the love you share with our daughter. 🖤🖤 Thank you for all that you do.. today we celebrate you," Jenner wrote on Instagram, along with black-and-white photos of the father-daughter duo.
The Keeping Up the Kardashians star also took to Instagram Stories to share a snap of her boyfriend and daughter. Meanwhile, Scott couldn't help but celebrate his special day. By thanking his girlfriend for helping him become a father to little Stormi.
The day mommy made me a daddy I couldn't wait to spend everyday with u to conquer this planet 👨👩👧⚡🦋🔥
A post shared by flame (@travisscott) on Jun 16, 2019 at 7:08pm PDT
"The day mommy made me a daddy I couldn't wait to spend every day with u to conquer this plane,". Scott captions his own post that included adorable photos of him with his baby girl.
The Houston-born rapper shared a slideshow of photos of himself with Stormi, as well as of the little one by herself.
Since Dating
Kylie Jenner has been dating boyfriend Travis Scott since April 2017. Within a few weeks of their meeting, Kylie was allegedly pregnant with the couple's first child.
2018🖤
A post shared by Kylie (@kyliejenner) on May 3, 2019 at 4:53pm PDT
This is the second time that Scott celebrates Father's Day since the couple welcomes their little girl on Feb. 1, 2018. The young mom did not announce her pregnancy until three days after her baby was born, via a Youtube video. Little Stormi Webster arrived on February 1, 2018.
Prior to their relationship, the Keeping Up With the Kardashian star was in a relationship with rapper Tyga, 29. The couple allegedly began dating when Kylie was 16, up until April 2017. This was just a few short weeks before she met Travis.
To celebrate his daughter's golden birthday earlier this year, he wrote a heartfelt message alongside a gallery of Instagram photos. And clips showing Stormi smiling while posing in a pig-themed room, playing with her dad, hugging a stuffed shark and more.
"ITS MY QUEEN, MY HEART, MY AIR, MY EVERYTHING. STORMI'S BIRTHDAY TODAY. I LOVE U SO MUCH BABY," the rapper wrote.
A particularly adorable video showed Stormi dress in an all-black outfit, giggling loudly after drinking out of a glass of orange juice Scott had tilted up for her.
"U THE SMARTEST AND LOVING BABY EVER," continue the Astroworld artist of little Stormi. "UR SPIRT KEEPS ME GOING EVERYDAY ME AND UR MOMMY LOVE U AND CAN'T WAIT TO SHARE MORE BEAUTIFUL DAYS WITH U. HAPPY BDAYY STORMIII LETS RAGE."
On Mother's Day
Last month, in honour of her second Mother's Day, the Keeping Up with the Kardashians star kicked off the day with a touching tribute to her baby girl.
A post shared by Kylie (@kyliejenner) on May 12, 2019 at 10:22am PDT
Alongside a photo of the mother-daughter duo snuggling up on the set of a photo shoot. Jenner, 21, left no doubt about the depth of her affection for Stormi.
"The best thing I've ever done," she captions the sweet shot, adding that being a mother is her "greatest role in this life."
Jenner, who has always been candid about her love for Stormi open up earlier this year about all the ways her child has changed her life for the better. Kylie Jenner and Travis Scott Celebrate Father's Day with Daughter Stormi by Sharing New Photos: See Pics!
"I always knew I wanted to be a young mother. I remember people used to ask, 'Are you ready for this?'. And I always knew I was ready but you don't know what that love. a\And that feeling is like until after you have a child. But I feel like I was definitely made for this and she has changed my life for the better," Jenner told Interview Germany in March.
"The way that I look at things is a lot more positive and I really feel like my life didn't start until I had her," she explains.
Daughter Stormi
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Announcement-Press Release
Author-Lauren
Fashionista-turned-judicial diva Elle Woods outwits critics and wins at love in Legally Blonde musical
LaurenC	01/25/2018 0 Comments
In time for Valentine's Day, Align Entertainment presents the hilarious, romantic hit musical, Legally Blonde, running February 2 – 17, 2018 at the Michael J. Fox Theatre. Coming off a successful fall production of Joseph and the Amazing Technicolour Dreamcoat, the multi Ovation Award-winning producers bring together a cast of local theatre stars and emerging talents for the Broadway adaption of this beloved 2001 film. Nominated for seven Tony Awards, Legally Blonde the musical is a shiny, sugar rush of tongue-in-cheek humour, dazzling choreography, and glittering sets in celebration of beauty that embraces brains.
"Legally Blonde reminds us that you don't have to be pigeon-holed to one persona – you can be the sorority queen and a whip-smart whiz if you want, and win at both life and love," says director and co-producer Chad Matchette. "The show has a great message, but it doesn't take itself too seriously and fun is what we at Align Entertainment are all about! We love to present big, bright and boisterous productions where it doesn't matter if you're performing on stage or seated in the audience, everyone is having a blast. Take family, friends or that special someone – we promise exceptional entertainment and a smashing time at the theatre!"
Legally Blonde is a novel by Amanda Brown that, not long after becoming a Golden Globe-nominated film, was adapted for the stage by Laurence O'Keefe and Nell Benjamin (music & lyrics) alongside Heather Hach (script). The show follows the bombastic adventures of blonde beauty Elle Woods – made a household name thanks to Reese Witherspoon's rollicking on-screen performance. This Bel Air princess with a passion for everything pretty and pink enjoys a would-be perfect life until boyfriend Warner breaks up with her in favor of more "serious" pursuits at law school. Proving she too can have serious ambitions, the lovelorn Woods ditches her Delta-Nu dames and calls on her good looks and wits to follow her sweetheart to Harvard University. Casting away stereotypes, her cunningness in the courtroom earns her a new love and hot career as she outsmarts a criminal and makes off with the trial.
Performing as Elle Woods, Julia Ulrich was recently seen in Fighting Chance Production's Heathers: The Musical (2016) and as Chava in Royal City Musical Theatre's Fiddler on the Roof (2016). Stuart Barkley plays pompous ex-boyfriend Warner Huntington III. Barkley starred as Joseph in Align Entertainment's Joseph and the Amazing Technicolour Dreamcoat this past fall. Barkley was also recently seen in the role of Robert Martin in Theatre Under the Stars' The Drowsy Chaperone (2017). Victor Hunter is Woods' true love, Emmett. The recipient of two Ovation Award nominations, Hunter played Bert in Theatre Under the Stars' Mary Poppins (2017) and regularly lends his voice to Disney and Lucasfilm productions. Trusty side-kick and hair-designer Paulette Bonafonté is played by Jenn Suratos, who appeared as Miss Peretti in The 25th Annual Putnam County Spelling Bee (Fighting Chance Productions, 2017) and Miss Sherman in Bring On Tomorrow Co's FAME (2016). Audiences can also look forward to seeing Chris King as Professor Calahan, Laura Cowan as Brooke Wyndham, Ranae Miller as Vivienne and Justin Lapena as Grandmaster Chad.
Legally Blonde is directed and co-produced by Chad Matchette, with musical direction by Clare Wyatt, who together led Align Entertainment's Joseph and the Amazing Technicolour Dreamcoat. The company has enlisted Nicol Spinola as choreographer following her work with Bring On Tomorrow Co in 13: The Musical (2017). The creative team includes set designer Brian Ball, lighting designer Robert Sondergaard, sound designer Tim Lang, and Julie White is in charge of creating Woods' perfectly pink outfits along with costuming the entire cast.
Tickets can be found here.
CategoriesAnnouncement-Press Release, Author-Lauren, Lifestyle, Live-Plays
TagsBrian Ball, Chad Matchette, Chris King, Clare Wyatt, Elle Woods, Heather Hach, Jenn Suratos, Julia Ulrich, Julia White, Justin Lapeña, Laura Cowan, Laurence O'Keefe, Legally Blonde, musical, Nell Benjamin, Nicol Spinola, Ranae Miller, Reese Witherspoon, Robert Sondergaard, Stuart Barkley, Tim Lang, vancouver, Victor Hunter
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CLEVELAND INDIANS — Agreed to terms with INF Orlando Cabrera on a one-year contract.
LOS ANGELES DODGERS — Agreed to terms with RHP Lance Cormier on a minor league contract.
MILWAUKEE BREWERS — Agreed to terms with 2B Rickie Weeks on a four-year contract.
WASHINGTON NATIONALS — Designated RHP Luis Atilano for assignment.
CHARLOTTE BOBCATS — Promoted interim coach Paul Silas to coach and signed him to a one-year contract extension.
ARIZONA CARDINALS — Promoted passing game coordinator Mike Miller to offensive coordinator.
BUFFALO BILLS — Released DL Marcus Stroud.
INDIANAPOLIS COLTS — Reassigned quarterbacks coach Frank Reich to receivers coach, receivers coach Ron Turner to quarterbacks coach and offensive assistant Jim Bob Cooter to assistant to the offensive coordinator.
KANSAS CITY CHIEFS — Designated LB Tamba Hali their franchise player.
TENNESSEE TITANS — Named Tracy Rocker defensive line coach.
WASHINGTON REDSKINS — Named Sean McVay tight ends coach.
ANAHEIM DUCKS — Reassigned G Marco Cousineau from Syracuse (AHL) to Elmira (ECHL). Placed G Jonas Hiller on injured reserve. Recalled G Timo Pielmeier from Syracuse (AHL).
BOSTON BRUINS — Reassigned F Yannick Riendeau from Providence (AHL) to Reading (ECHL).
COLUMBUS BLUE JACKETS — Activated LW Ethan Moreau from injured reserve.
NEW YORK RANGERS — Recalled F Kris Newbury from Connecticut (AHL).
FLORIDA STATE — Signed football coach Jimbo Fisher to a five-year contract.
JACKSONVILLE STATE — Announced the retirement of athletic director Oval Jaynes, effective April 30.
NEBRASKA — Named Tim Beck offensive coordinator, Corey Raymond secondary coach, Ross Els linebackers coach and Rich Fisher wide receivers coach. Reassigned tight ends coach Ron Brown to running backs coach. Announced offensive coordinator Shawn Watson and receivers coach Ted Gilmore will not return.
WASHINGTON (76) — J.Howard 1-10 1-3 3, Blatche 6-17 3-4 15, McGee 1-6 2-3 4, Wall 10-17 6-10 27, Martin 2-13 0-0 5, Seraphin 2-3 0-0 4, Armstrong 0-0 0-0 0, Yi 0-2 0-0 0, Booker 1-2 0-0 2, Hinrich 4-9 1-1 10, Thornton 1-1 0-0 2, Shakur 1-3 2-2 4. Totals 29-83 15-23 76.
ORLANDO (101) — Turkoglu 3-8 0-0 6, Bass 6-13 3-3 15, D.Howard 12-15 8-11 32, Nelson 4-9 0-0 10, J.Richardson 6-12 1-1 16, Anderson 4-8 4-4 14, Redick 2-7 2-2 6, Arenas 1-6 0-0 2, Q.Richardson 0-2 0-0 0, Clark 0-2 0-0 0, Duhon 0-2 0-0 0. Totals 38-84 18-21 101.
Three-point goals—Washington 3-13 (Hinrich 1-1, Wall 1-3, Martin 1-7, Blatche 0-1, J.Howard 0-1), Orlando 7-21 (J.Richardson 3-6, Nelson 2-4, Anderson 2-5, Arenas 0-1, Q.Richardson 0-2, Redick 0-3). Fouled out—None. Rebounds—Washington 57 (Blatche 9), Orlando 54 (Bass 11). Assists—Washington 8 (Hinrich 3), Orlando 22 (Arenas 6). Total fouls—Washington 21, Orlando 19. A—19,054 (18,500).
MIAMI (103) — James 8-18 7-10 23, Bosh 7-16 11-12 25, Ilgauskas 3-4 0-0 6, Chalmers 2-4 0-0 5, Wade 10-18 8-10 28, Dampier 3-3 2-4 8, Jones 0-0 0-0 0, House 3-8 1-1 8, Arroyo 0-2 0-0 0, Anthony 0-0 0-0 0. Totals 36-73 29-37 103.
TORONTO (95) — Weems 0-2 2-2 2, A.Johnson 2-10 1-2 5, Bargnani 15-26 3-4 38, Calderon 2-9 0-1 5, DeRozan 9-20 6-6 24, Davis 4-5 0-0 8, Barbosa 1-7 3-3 5, Bayless 0-3 2-2 2, Ajinca 3-5 0-0 6. Totals 36-87 17-20 95.
Three-point goals—Miami 2-11 (Chalmers 1-2, House 1-5, Arroyo 0-1, Bosh 0-1, James 0-2), Toronto 6-14 (Bargnani 5-6, Calderon 1-4, DeRozan 0-1, Bayless 0-1, Barbosa 0-2). Fouled out—None. Rebounds—Miami 54 (James 13), Toronto 45 (Davis 13). Assists—Miami 22 (James 8), Toronto 26 (Calderon 14). Total fouls—Miami 14, Toronto 24. Technicals—James, Miami defensive three-second, Toronto defensive three-second. A—20,156 (19,800).
ATLANTA (90) — Smith 6-16 2-3 14, M.Williams 7-14 1-2 17, Horford 6-12 0-0 12, Bibby 5-8 0-0 15, Johnson 5-12 0-1 11, Ja.Crawford 3-11 0-1 7, Evans 2-4 0-0 5, Pachulia 0-2 2-2 2, Wilkins 0-1 0-0 0, Powell 1-1 0-0 2, Teague 2-3 0-0 5. Totals 37-84 5-9 90.
NEW YORK (102) — Gallinari 5-12 4-4 17, Stoudemire 8-17 7-8 23, Mozgov 2-3 0-0 4, Felton 6-16 1-2 13, Fields 4-5 1-2 11, Chandler 9-15 0-0 20, Walker 0-0 0-0 0, Turiaf 1-2 2-2 4, Douglas 1-5 2-3 5, S.Williams 2-4 0-0 5. Totals 38-79 17-21 102.
Three-point goals—Atlanta 11-22 (Bibby 5-7, M.Williams 2-5, Evans 1-1, Teague 1-1, Johnson 1-2, Ja.Crawford 1-3, Smith 0-3), New York 9-23 (Gallinari 3-8, Fields 2-2, Chandler 2-6, Douglas 1-2, S.Williams 1-3, Felton 0-2). Fouled out—None. Rebounds—Atlanta 46 (Horford 11), New York 50 (Gallinari, Fields 9). Assists—Atlanta 20 (Johnson 6), New York 25 (Felton 11). Total fouls—Atlanta 19, New York 11. Technicals—Horford, Atlanta defensive three-second, Felton, Gallinari. A—19,763 (19,763).
NEW JERSEY (80) — Outlaw 1-1 2-4 4, Favors 1-2 2-2 4, Lopez 8-16 2-2 18, Harris 6-14 3-3 16, Morrow 5-14 1-1 14, Farmar 2-7 0-0 6, Vujacic 2-9 0-0 4, Ross 3-5 1-1 7, Petro 1-5 0-0 2, Humphries 2-5 1-2 5, Uzoh 0-2 0-0 0, Graham 0-0 0-0 0. Totals 31-80 12-15 80.
BOSTON (94) — Pierce 10-18 10-13 31, Garnett 5-13 4-6 14, Perkins 1-4 3-4 5, Rondo 2-5 3-4 7, Allen 5-11 1-2 12, Wafer 2-3 3-4 7, Davis 1-5 2-2 4, Harangody 3-6 2-2 8, Robinson 2-7 0-0 4, Bradley 0-0 2-2 2. Totals 31-72 30-39 94.
Three-point goals—New Jersey 6-20 (Morrow 3-6, Farmar 2-5, Harris 1-4, Ross 0-1, Vujacic 0-4), Boston 2-11 (Allen 1-2, Pierce 1-5, Rondo 0-1, Robinson 0-3). Fouled out—None. Rebounds—New Jersey 49 (Favors 7), Boston 53 (Garnett 10). Assists—New Jersey 19 (Harris, Vujacic 5), Boston 18 (Rondo 8). Total fouls—New Jersey 27, Boston 19. Technicals—New Jersey defensive three-second, Perkins. A—18,624 (18,624).
L.A. LAKERS (99) — Artest 0-1 1-2 1, Gasol 8-15 14-14 30, Bynum 2-12 2-3 6, Fisher 8-12 0-0 19, Bryant 8-24 0-0 17, Odom 2-6 2-2 6, Brown 7-14 1-2 15, Blake 2-3 0-0 5, Walton 0-0 0-0 0. Totals 37-87 20-23 99.
CLEVELAND (104) — Eyenga 5-7 0-0 10, Jamison 8-18 1-2 19, Hickson 6-18 1-1 13, Williams 0-1 0-0 0, Parker 7-13 2-2 18, Sessions 9-16 13-14 32, Gibson 1-6 1-1 3, Hollins 4-5 0-0 8, Moon 0-1 1-2 1. Totals 40-85 19-22 104.
Three-point goals—L.A. Lakers 5-15 (Fisher 3-4, Blake 1-1, Bryant 1-6, Odom 0-1, Brown 0-3), Cleveland 5-16 (Parker 2-5, Jamison 2-6, Sessions 1-1, Gibson 0-1, Williams 0-1, Eyenga 0-2). Fouled out—None. Rebounds—L.A. Lakers 54 (Gasol 20), Cleveland 47 (Hickson 15). Assists—L.A. Lakers 22 (Odom 6), Cleveland 28 (Parker 9). Total fouls—L.A. Lakers 22, Cleveland 22. Technicals—Bryant, Bynum, L.A. Lakers defensive three-second. A—20,562 (20,562).
INDIANA (109) — Granger 11-16 4-7 28, McRoberts 7-8 0-0 15, Hibbert 12-23 5-5 29, Collison 3-11 0-0 6, Dunleavy 1-4 0-0 3, George 0-3 0-0 0, Price 1-4 1-2 3, Hansbrough 4-9 0-0 8, S.Jones 0-3 0-0 0, D.Jones 5-6 0-2 11, Rush 2-5 0-0 6. Totals 46-92 10-16 109.
DETROIT (115) — Prince 11-16 3-4 25, Monroe 6-10 1-2 13, Wallace 0-2 0-0 0, Stuckey 6-15 6-6 18, McGrady 6-13 2-2 15, Daye 3-7 0-2 6, Gordon 8-14 0-1 16, Villanueva 2-5 0-0 5, Bynum 2-7 1-2 5, Wilcox 6-8 0-0 12. Totals 50-97 13-19 115.
Three-point goals—Indiana 7-18 (Rush 2-3, Granger 2-5, McRoberts 1-1, D.Jones 1-2, Dunleavy 1-3, George 0-1, Price 0-1, Collison 0-2), Detroit 2-9 (McGrady 1-2, Villanueva 1-3, Bynum 0-1, Gordon 0-1, Daye 0-2). Fouled out—None. Rebounds—Indiana 53 (McRoberts 12), Detroit 52 (Prince 11). Assists—Indiana 25 (Collison 9), Detroit 26 (Bynum 7). Total fouls—Indiana 23, Detroit 15. A—12,551 (22,076).
200 medley relay — Florida A 1:24.94; Auburn A 1:26.30; Tennessee A 1:28.97; 800 freestyle relay — Florida A 6:13.74; Tennessee A 6:21.00.
Teams — 1. Auburn 201; 2. Tennessee 199.5; 3. Florida 129; 4. LSU 99.5; 5. Alabama 93; 6. Kentucky 92; 7. Georgia 73; 8. South Carolina 50.
200 medley relay — Auburn A 1:36.11; LSU A 1:36.91; Tennessee A 1:37.09; Auburn A 6:21.79; 800 freestyle relay — Georgia A 6:53.58; Florida A 6:59.10; Tennessee A 7:03.44.
Teams — 1. Auburn 166; 2. Florida 153; 3. South Carolina 108; 4. Georgia 106; 5. Tennessee 96; 6. LSU 93.5; 7. Kentucky 83; 8. Arkansas 76; 9. Alabama 73.5; 10. Vanderbilt 32.
at La. - Lafayette	3½ Arkansas St.
at Arizona	8	Washington St.
Washington	8	at Arizona St.
at IPFW	1	S. Dakota St.
at Oakland	12½ N. Dakota St.


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Home » Nestle to strengthen marketing practices
Nestle to strengthen marketing practices
Source: ©KUSHCH DMITRY – STOCK.ADOBE.COM
VEVEY, SWITZERLAND — Nestle SA recently unveiled plans to strengthen its responsible marketing practices, including implementing voluntarily restrictions on its marketing to children under the age of 16. The initiative is part of the company's efforts "to help bring balanced diets within reach for people around the world," Nestle said.
Under the company's new Marketing Communication to Children policy, Nestle said it will prohibit direct advertising of confectionery and ice cream as well as water-based beverages with added sugars to children below 16 years of age. Previously Nestle had restricted marketing of indulgent products to children below 13 years of age. Additionally, the company reaffirmed its ban on product marketing communication targeting children between 0 and 6 years of age.
"This standard will be applied to TV and online platforms, including social media and gaming ones with greater than 25% of their audience under 16 years old," Nestle noted, adding it will not collect data of minors and only partner with social media influencers over the age of 18.
Nestle said the new policy will take effect July 1, 2023, and will be applied across its global operations. The policy makes Nestle one of the first food and beverage companies to voluntarily adopt such strict standards, the company said.
"Nestle is externally recognized for its industry-leading responsible marketing practices by the Access to Nutrition Index and calls for more companies to put forward similar measures that support the well-being of children," the company said. "Coupling existing nutrition services, educational tools and recipes with these additional safeguards helps give children and young adolescents a solid foundation for building a healthy lifestyle. Through our Nestle for Healthier Kids program and various nutrition campaigns such as 'adopt a fruit, adopt a vegetable,' #cooktogether and 'healthy food for the future,' we have made over 80 million children more knowledgeable about good nutrition, balanced diets and healthy lifestyles since 2016."
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