text:
DAAC Home > Get Data > NASA Projects > Hydroclimatology Collection > User guide
Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, R1
Time series of monthly minimum and maximum temperature, precipitation, and potential evapotranspiration were derived for 1,469 watersheds in the conterminous United States for which stream flow measurements were also available from the national streamflow database, termed the Hydro-Climatic Data Network (HCDN), developed by Slack et al. (1993a,b). Monthly climate estimates were derived for the years 1951-1990.
The climate characteristic estimates of temperature and precipitation were estimated using the PRISM (Daly et al. 1994, 1997) climate analysis system as described in Vogel, et al. 1999.
Estimates of monthly potential evaporation were obtained using a method introduced by Hargreaves and Samani (1982) which is based on monthly time series of average minimum and maximum temperature data along with extraterrestrial solar radiation. Extraterrestrial solar radiation was estimated for each basin by computing the solar radiation over 0.1 degree grids using the method introduced by Duffie and Beckman (1980) and then summing those estimates for each river basin. This process is described in Sankarasubramanian, et al. (2001).
The data files are organized in directories by parameter, Tmax, Tmin, Pre, or PET, with each of the four directories containing 18 subdirectories representing the 18 Water Resources Council regions for the conterminous United States. Each region subdirectory contains data files for the monthly time series of respective hydroclimate attributes (Tmax, Tmin, Precipitation, and PET) for the individual basins in that region for the years 1951-1990. All files are in space delimited ASCII format.
Revision Notes: This data set has been revised to update the number of watersheds included in the data set and to updated the units for the potential evapotranspiration variable. Please see the Data Set Revisions section of this document for detailed information.
Vogel, R.M., and A. Sankarasubramanian. 2015. Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, R1. ORNL DAAC Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/810.
This data set was originally published as:
Vogel, R. M., and A.Sankarasubramanian. 2005. Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/810.
1 Data Set Overview
2 Data Description
3 Applications and Derivation
4 Quality Assessment
5 Acquisition Materials and Methods
6 Data Access
8 Data Set Revision Information
1. Data Set Overview:
Project: Hydroclimatology
The data files are organized in directories by parameter, Tmax, Tmin, Pre, or PET, and with each of hte four directories containing18 subdirectories representing the 18 Water Resources Council regions for the conterminous United States. Each region subdirectory contains data files for the monthly time series of respective hydroclimate attributes (Tmax, Tmin, Precipitation, or PET) for the individual basins in that region for the years 1951-1990.
2. Data Characteristics:
The data files are organized in directories by parameter, Tmax, Tmin, Pre, or PET, and contain 18 subdirectories representing the 18 Water Resources Council regions (Region--, -- represents the region number). See description below.
Each region subdirectory contains data files for the monthly time series of respective hydroclimate attributes (Tmax, Tmin, Precipitation, and PET) for the individual sites in that region for the years 1951-1990. File names are identified by the unique number id of the HCDN station located within each watershed. All files are in space delimited ASCII format.
Description and Units
Precipitation in mm/month
Potential evapotranspiration in mm/month
Average maximum monthly temperature in tenths of degree Celsius (e.g., -40.6250 *0.1 = -4.06250 degree Celsius)
Average minimum monthly temperature in tenths of degree Celsius (e.g., see Tmax)
Example data records: Maximum Temperature for Region 10, HCDN Station 6019500. File name: 6019500.tmax
Columns: Station Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
6019500 1951 -40.6250 13.8750 16.0625 100.7500 157.4375 159.8750 255.8125 218.8125 184.7500 84.8125 20.7500 -44.1875
6019500 1952 -34.0625 -10.5625 7.1875 116.8125 155.1250 203.9375 241.0000 247.1875 226.5000 165.3750 5.0000 -11.3750
6019500 1989 -21.8750 -58.4375 46.6875 109.6250 145.1250 203.6250 272.8125 223.6250 198.4375 103.5000 46.5000 -0.8750
6019500 1990 -2.3125 2.1250 55.3125 122.8125 135.7500 196.4375 254.8125 247.0000 239.4375 111.3750 47.1250 -64.6875
Watershed Characteristics
In the file, HCDN_watershed_characteristics.zip, a companion file of detailed HCDN watershed characteristics (HCDN_watershed_characteristics.csv) and a documentation file (hcdn_watershed_char_desc.pdf) are provided.
A companion file of detailed HCDN watershed characteristics (HCDN_watershed_characteristics.csv) and a documentation file (hcdn_watershed_char_desc.pdf) are provided.
Selected HCDN Sites
In the file selected_HCDN_stations.zip, the companion file Selected_HCDN_stations.zip_20050601.csv provides station information for 1,376 HCDN sites corresponding to this data set. This information is subset from the master HCDN station data file available online from USGS. Format and content descriptions are contained in the documentation file hcdn_stations_fmt_desc.pdf.
3. Data Application and Derivation:
These data could be used in climate models.
4. Quality Assessment:
5. Data Acquisition Materials and Methods:
A subset of the HCDN streamflow sites from watersheds with at least 10 years of record length were used in this study. Overall, the HCDN data set consists of records of average daily streamflow at 1,553 sites located throughout the United States. The data meet certain measurement accuracy criterion outlined by Slack et al. (1993). The HCDN contains river flows from 1874 to 1988, with an average record length of 44 years. The streamflow data included in the HCDN are relatively free from anthropogenic influences and the accuracy ratings of these records are at least rated good per USGS standards.
Water Resources Council Regions
The monthly climate data are organized by United States Water Resources Council Regions. The United States Geologic Survey (USGS) has divided and sub-divided the US into successively smaller hydrologic units. The first and broadest level of classification divides the U.S. into 21 Water-Resources Council Regions. For a more comprehensive explanation of ththese divisions, refer to "Hydrologic units, hydrologic unit codes, and hydrologic unit names" ( http://pubs.usgs.gov/of/1992/ofr92-129/files/hucs.html ).
The gray lines are state lines, the blue lines are major rivers, and the white lines are water-resources region boundary lines. This data set only has data for the 18 regions of the conterminous United States.
Region 01: New England
Region 02: Mid-Atlantic
Region 03: South Atlantic-Gulf
Region 04: Great Lakes
Region 05: Ohio
Region 06: Tennessee
Region 07: Upper Mississippi
Region 08: Lower Mississippi
Region 09: Souris-Red-Rainy
Region 10: Missouri
Region 11: Arkansas-White-Red
Region 12: Texas-Gulf
Region 13: Rio Grande
Region 14: Upper Colorado
Region 15: Lower Colorado
Region 16: Great Basin
Region 17: Pacific Northwest
Region 18: California
Region 20: Hawaii
Region 21: Caribbean
6. Data Access:
This data is available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
Data Archive Center:
Contact for Data Center Access Information:
E-mail: uso@daac.ornl.gov
Daly, C., Neilson, R. P., and Phillips, D. L. (1994). A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteorology, 33(2), 140-158.
Daly, C., Taylor, G., and Gibson, W. (1997). The PRISM approach to mapping precipitation and temperature. Proc., 10th AMS Conf. on Appl. Climatology, American Meteorological Society, Boston, Mass.
Duffie, J. A., and W. A. Beckman. 1980. Solar Engineering of Thermal Processes. John Wiley, New York, pp. 1-109.
Hargreaves, G. H., and Z. A. Samani. 1982. Estimating potential evapotranspiration, J. Irrig. Drain. Eng., 108(3), 225-230.
Sankarasubramanian, A., and R. M. Vogel. 2002. Annual hydroclimatology of the United States. Water Resources Res., 38(6), 1083, doi:10.1029/ 2001WR000619.
Sankarasubramanian, A., R. M. Vogel, and J. F. Limbrunner. 2001. Climate elasticity of streamflow in the United States. Water Resources Res., 37(6), doi:10.1029/2000WR900330.
Slack, J. R., A. M. Lumb, and J. M. Landwehr. 1993a. Hydroclimatic data network (HCDN): A U.S. Geological Survey streamflow data set for the United States for the study of climate variation, 1874-1988. Water Resour. Invest. Rep., 93-4076.
Slack, J. R., A. Lumb, and J. M. Landwehr. 1993b. Hydro-Climatic Data Network (HCDN) Streamflow Data Set, 1874-1998. CD-ROM. U.S. Geological Survey, Reston, Virginia, U.S.A. Available from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. [http://www.daac.ornl.gov].
Vogel, R. M., I. Wilson, and C. Daly. 1999. Regional regression models of annual streamflow for the United States, J. Irrig. Drainage Eng., 125(3), 148-157.
8. Data Set Revisions:
Revision Summary:
The number of watersheds included in this data set has been updated to 1,469. In the original documentation, the number of watersheds was listed as 1,337.
The units for the variable PET, Potential evapotranspiration, have been updated to mm/month. In the original data set, the units for PET were in mm/day.


30 MMS November 2017 mmsonline.com RAPID TRAVERSE Machining Technology in Brief bine between the blade tips and the ring. Squealer tip restoration is typically done by adding mate- rial using one machine and machining it using another. Using the different machines involves not just different setups but also typically differ- ent teams within a plant. By contrast, he says, "a single-clamping situation saves transfer and adjustment time compared to working on mul- tiple machines. In a typical repair with consecu- tive steps like cutting, cladding and recontouring, [this approach] saves two out of the three trans- port and clamping steps." And when it comes to the clamping, he adds, "a secondary benefit is the positioning accuracy of a CNC machine," which now gets applied not only to machining but also to the material deposition. Accordingly, he sees the CNC machine tool augmented in this way representing something much more than a conventional machine tool— just like a Swiss army knife is more than a knife and a smartphone is more than a phone. While most blade repair in Birr is still performed con- ventionally (because the plant performs a lot of this repair), the hybrid additive/subtractive system is an option now available for the parts that can benefit the most from single-setup processing. One of the most significant examples of work benef iting from the hybrid processing is the blade seen in detail on page 28. Measurements of per formance in the field (over the course of years) revealed that this blade design could be modified for improved turbine efficiency through the addition of a new feature. The original, con- ser vative design of the blade's root form and corresponding slot left more space open in the slot than was necessar y for cooling. Too much space is a drain on efficiency, since excess air directed to cooling leaves less air available to contribute to power generation through expan- sion within the turbine. The per formance data proved to GE engineers that adding a sealing feature—a feature expanding the root form to fill more of the slot—would improve power efficiency without compromising cooling. In the past, such a modification likely would not have been made. The cost of new tooling for adding the feature through casting would have overcome any cost savings from improved per- formance, given the small number of blades affected by the discovery. However, the option of 3D printing and milling on the hybrid machine drastically changes the economy of a small- quantit y modif ication such as this. As these blades returned for restoration, they were given the new sealing feature as a simple additional step on the additive/subtractive machine. Notably, though the batch of these blades might have been small, the job was big enough to encounter a problem typical of production. A crash on the machine resulting from human error temporarily disabled the Ambit head. Mr. Jones says the way GE dealt with this problem illustrates the versatility of a system built The squealer tip above illustrates a repair application. At right is the sealing feature from page 28 shown after 3D printing, but before machining. Hamuel, visit hamuel.de/en. Hybrid Manufacturing Technologies, call 214-530-2334 or visit hybridmanutech.com.


Jan-31-09 nescio: Good engame play by both.
30...f5! Getting rid of the doubled pawn and prepariing an outpost for the rook at e4. Further plans for Black: activating the rook through the open file and attacking the weak pawns on the queenside (or vice versa).
31.c5! Bogoljubov recognizes thet defensive play by 31.Rd1 Re4 32.Rd4 Re1 would be useless as the rook at e1 would be devastating and tries to activate his own rook.
Oct-19-09 AESTRADAR: 30....f5! in order to get rid of the double pawn ad beside to obtain a strong point at a4.
Oct-22-09 AESTRADAR: 30.... f5! in order to get rid of the double pawn and besides to obtain a strong point in e4.


The family's home now. Order has been restored: Sara, Charlie & Bartleby are napping and Greg & I are drinking.
More photos will be added frequently in Charlie's Photo Set.
Oh my god gillian- he's beautiful! What a head of hair!!! Please pass along my love- I'm glad you made it in time, and I'm glad everyone looks so happy and healthy!
My congratulations to everyone!! Charlie is a beautiful baby!! And his parents are also beautiful!! Pass message from your mother!


text:
from cliff.command import Command
from cliff.commandmanager import CommandManager

TEST_NAMESPACE = 'cliff.test'

class TestParser(object):

    def print_help(self, stdout):
        stdout.write('TestParser')

class TestCommand(Command):
    "Test command."

    def get_parser(self, ignore):
        # Make it look like this class is the parser
        # so parse_args() is called.
        return TestParser()

    def take_action(self, args):
        return

class TestDeprecatedCommand(TestCommand):

    deprecated = True

class TestCommandManager(CommandManager):

    def load_commands(self, namespace):
        if namespace == TEST_NAMESPACE:
            for key in ('one', 'two words', 'three word command'):
                self.add_command(key, TestCommand)
            self.add_command('old cmd', TestDeprecatedCommand)

redpajama_set_name: RedPajamaGithub


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Creativity, confidence, and ability to constantly engage the crowd are some of the key elements of a good musician.
There is an added advantage in a musician listening to the music from the new musicians without being choosy on the type of music genre it is, since doing this can be a very rich source of new ideas that one may desperately need to help them rediscover their passion for making music. It can safely be sad that it is easy for a musician to refill his or her passion for making music if a particular musician listens to the works of other musicians.
One can decide to start playing a different type of music as a way of reviving their lost passion. The monotonous sensation one has been getting from a particular music instrument over several years can be a major contributor to the dying passion.
A musician can derive new inspiration for making new and better music, from the different sensation he or she gets by playing a different musical instrument. A change of perspective on one's music changes soon after one has begun using different musical instruments that have the effect of bringing a new sensation to the musician.
Collaborations between various people in making music can serve as an excellent source of inspiration to those who have lost their creativity. Through collaboration with other musicians, an individual gets to see where they have been doing it wrong and the many issues they need to improve on if they wish to keep their music career successful.
One can feel inspired to keep working harder in their career, if they get to learn about the various challenges that the experienced musicians could have gone through earlier in their careers. Taking a break from the entire business of making music can also allow one to engage in something else as does an assessment of their music career.


text:
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Zodiac Starforce Volume 1: By the Power of Astra
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The EC Archives: The Haunt of Fear Volume 5
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The Battles of Bridget Lee Volume 1: Invasion of Farfall
Usagi Yojimbo/Teenage Mutant Ninja Turtles: The Complete Collection
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Dilbert: I'm No Scientist, But I Think Feng Shui Is Part of the Answer
Publisher: Andrews McMeel
Written by: Scott Adams
Art By: Scott Adams
Digital Release Date:
Rated Teen/Young Adults (ages 13+)
What do the arts of yoga, feng shui, and Irish dance have in common? They can't save you from a gnawing dissatisfaction with your job. Luckily, our favorite office cog has a few tricks up his sleeve. Armed with a wearable brain stimulator and ingestible nanorobots, Dilbert discovers how to outpace stress, boredom, and sitting-induced early death. He may be a cyborg with a fake personality, but meetings are more tolerable than ever
Dilbert: Optimism Sounds Exhausting
Dilbert, the cubicle-dwelling drone, is at his satirical best with this new collection of cartoons. Dilbert has managed to keep up with technology like iPads and Twitter over the years, as well as advanced systems like the Disaster Preparedness Plan that has its followers eating the crumbs from their keyboards. It doesn't get any more sophisticated than that. It's an office code violation to be this good after so many years, but Dilbert keeps doing what he does best: passive-aggressively out-witting his superiors and exercising conflict avoidance. And he is so good. No wonder office drones and workforce automatons alike can't resist the cold embrace of Dilbert's workplace.
Doonesbury: Weed Whisperer
Written by: G.B. Trudeau
Art By: G.B. Trudeau
"I don't read Doonesbury. He glorifies drugs." --Former White House Press Secretary Marlin Fitzwater Welcome to the age of pivots. Two centuries after the Founding Fathers signed off on happiness, Zonker Harris and nephew Zipper pull up stakes and head west in hot pursuit. The dream? Setting up a major grow facility outside Boulder, Colorado, and becoming bajillionaire producers of "artisanal" marijuana. For Zonk, it's the crowning reset of a career that's ranged from babysitting to waiting tables. For Walden-grad Zip, it's a way to confront $600,000 in student loans. Elsewhere in Free Agent America, newlyweds Alex and Toggle are struggling. Twins Eli and Danny show up during their mother's MIT graduation, but a bad economy dries up lab grants, compelling the newly minted PhD to seek employment as a barista. Meanwhile, eternally blocked writer Jeff Redfern struggles to keep the Red Rascal legend-in-his-own-mind franchise alive, while aging music icon Jimmy T. endures by adapting to his industry's new normal: "I can make music on my schedule and release it directly to the fans." He's living in his car. G.B. Trudeau's Doonesbury is now in its fifth decade, and has chronicled American life through eight presidents, four generational cohorts, and innumerable paradigm shifts. His political sitcom Alpha House, starring John Goodman, is available on DVD and by streaming from Amazon Prime. For the record, Trudeau always inhaled back in the day. As President Obama once explained, "That was the point."
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Simply put, comparing this against my known good Neiko 01412A Pro-Quality Digital Caliper with LCD Screen and Standard/Metric/Fraction Conversion, Stainless Steel 6" caliper (as verified against a mess of higher end known good calipers and standards).
The Pittsburgh caliper will measure within .001", however that is where it fluctuates, so your measurements will be +/- .001".
Now mind you, we are working with wood, not machining metal racing engine parts, so the tolerances here should be perfectly acceptable to all but the most fine scale woodworkers.
The fit and finish of my particular caliper is a couple of steps below the Neiko unit I have been using for several years.
I had heard many good reviews on the Pittsburgh unit so I felt it was worth a gamble, especially since I have gotten plenty of decent workable tools from HF, but this particular instrument is simply put, a disappointment.
So due to some of the responses I got here, I tried something, working the caliper back and forth across the rails repeatedly for about 5 minutes, sort of letting metal hone metal kind of thing. The result?
Zero is zero, .001 is no longer +/- .001 but actually .001. It now matches the Neiko caliper.
All told, from what I am seeing it is accurate after some wear to the rough slide surfaces. Not sure what that means to long term durability, but for my uses it will be more than adequate.
Now, in some ways, I like the Pittsburgh better than my Neiko, for starters, it has an SAE fractional setting the Neiko lacks, the battery seems to be the same size, which is good, I can buy a multi pack and call it good! Honestly the Pittsburgh looks to be in many aspects just a lower grade fit and finish wise from the Neiko, and again, with the rails worked back and forth, whatever was causing the fluctuation is GONE.
Igaging makes a good one too. A nice tool to use and astonishingly consistent. Very affordable as well.
No gaps between the contact tips when closed, and everything was machined very nicely.
I have two three digital calipers. My oldest is a Wixey, heavily used, and a little touchy now. The on/off button is finicky lately. But it does go to 4 digits, and does fractions. I think it has been in the shop for nearly 6 years. The head is made partially of plastic, but the rest is nicely machined metal. I am not really complaining about the Wixey, because I use a calipers frequently, and it performed well for years.
For my La Conner shop, I bought a General Instruments Ultra-tech. Probably at Lowe's, but it could have been the Grizzly showroom in Bellingham. Other than the head, it is very similar to the Wixey. The head is all metal with excellent fit and finish. In all respects it feels, looks, and functions like good quality.
So to replace the Wixey in my shop in Anchorage, I bought another General. At this point, I use the General most of the time. Occasionally the Wixey still gets used….....but the on/off button has become an annoyance…......probably representing inevitable wearing out of the device. The General should be readily available at Lowe's, possibly HD, or other hardware stores.
I have an old, plastic, but well constructed Swiss mechanical calipers. It is not used much any more, but is a good reference device.
I have some Igaging digital tools as well. The height gage is particularly nice and useful. I have Wixey angle gages that have functioned well over time.
The Wixey devices tend to eat batteries in their sleep, so I keep a bunch of 2032 batteries at both shops.
In summary, take a look at the General brand that should be available locally. Their digital calipers seems to be a cut above the rest.
Speaking of precision, I find that if everything is going well in the shop I can maintain about 1/500 of an inch variance, and that is =/- 0.002. But the wood has to be nearly perfect to start with, and the machines have to be in recent accurate calibration. +/- 0.01 is more common, and let's face it, +/- 1/64 or about +/- 0.016 is usually adequate. That is 8 times worse than the best I can do, however.
I am not sure, but if you are talking about General Tools, the yellow and black package people, I would be a bit shocked if they made a truly great tool. Most of their stuff I have used over the years is on par or a shave below Harbor Freight. The General doweling jig and pocket hole jig I had were usable, but quirky. I gave them to Pastor Steve before he passed on from cancer. I bet he's upstairs in the great wood shop now!
I have the Pittsburgh (HF) 6" digital caliper. I have compared readings I got with the HF caliper with Starrett and Mitutoyo vernier calipers and micrometers and they are spot on. Maybe I'm just plain lucky.
Yup, that General. I think I detect some upgrading of their product line over time. They were exactly like you describe, but I think they have changed their strategy.
It is a little like the Ryobi and Rigid lines at HD. They have obviously put quality much higher on the list of priorities, and are making some excellent products. I recently bought a set of Ryobi driver bits that are actually a cut above most of the competition. Ditto on their quick change drill bit set. I purchased the drill bit set for my La Conner shop, and liked it so much, I bought one for Anchorage as well. And I bought the driver bit set as well for my recently posted driver tote.
If the General digital calipers is any indication, then General needs to be included in a preferred brand group. Frankly, I was surprised at the quality after I bought the first one.
It is one more illustration of the unfortunate rapidly changing brand/quality equation in the woodworking realm. Brands we thought were good have deteriorated, and the also-rans have become better. There are no simple answers for the average amateur woodworking bloke.
Thnx for your review, and the link on Amazon. These are handy, but the batteries don't seem to last too long.
As you stated, fluctuations of +/-.001 are OK for woodworking.
There are a lot of other ones out there that are acually worse and are typically made entirely out of plastic.
I own five calipers three 6" (one digital, one dial, and one U.S./metric vernier) one 18" vernier, and one 26" vernier.
I use the dial/vernier ones the most because I don't like to replace batteries.
I have heard so many good things about the Pittsburgh 6" digital calipers that I had to try one on for size, and since it is pretty fresh out of the box, it is likely that there really isn't much wrong with it, it just jumps .001" from zero when setting it, could just be slightly rough machining that will polish in over time….
I found that tightening up the screws slightly that clamp the movable jaw to the bar, improves the accuracy. I also wipe the faces of the jaws before using, as just a tiny pinch of dust can throw the reading off a thos or two.
Pittsburgh, SE, Neiko, they are all the same with varying levels of quality control. The iGaging IP54 that Pinto mentions is probably as good a caliper you can buy new for less than $50. You can get Mitutoyo's in the $80-100 range new. The HF stuff is what it is, made as cheaply as possible and with bare minimum quality control. You might get a good one, you might not.
I'm almost 60 years old, and have never owned a caliper in my life. I've always tinkered with woodworking around the house, but never had a dedicated shop until recently. I was at a HF tent sale about a year ago, and they had these digital calipers at a really low price, so I bought one just because it was on sale. I have been astounded by the number of times I've used this little gem since I've had it. Now I don't know what I would do with out it.


Step back into the Past - Today!
Our award-winning museum attraction recaptures our amazing past, and is considered to be one of the best social history collections in the UK.
An amazing 125 years of British social history and memorabilia magically brought to life. Discover over 150,000 nostalgic artefacts, virtual and interactive exhibits superbly recaptured with evocative sounds and smells in life-size street scenes and shop displays over five floors.
Discover Victorian life from the Queen herself! See the amazing replica Crown Jewel Collection! All delightfully set in a charming 15th century Wealden hall house.
One of the many highlights on your visit to Yesterday's World is our magnificent and secure garden.
Overlooking idyllic and beautiful countryside it has a fantastic setting. The children will love it too! Rolling around on the grass and messing around in the play village. Great opportunities too for parents to take some great photographs of the children using their imagination.
Our charming tea room, reminiscent of the once famous J. Lyons & Co tea shops and corner houses of the early 20th Century.
Nippy's Tea Rooms has been aptly named in true Lyons tradition – Nippy's was the nickname given to the Lyons' waitresses.
Let our Nippys serve you with a delicious cream tea or a naughty but nice sweet treat served with tea, coffee or a cold drink. We can also offer light snacks.
The terrace has fantastic views over the rolling Sussex countryside where you can sit and chat over a drink or snack whilst keeping an eye on the young ones having fun.
Tea Room. Secure Play Garden. Memorabilia and Sweet Shop. Disabled Facilities. Nearby Parking.


text:
Meinung /
By Adam Harper
A Battered, Deep-Fried Trumpet: Is This What Brexit Sounds Like?
Experimental producer Matthew Herbert's enigmatic album trawls a nation's fault-lines and finds its messy symbolism
How to make art or music about Brexit, when Culture (note the capital 'C') is considered to be one of the fault-lines dividing Remainers and Leavers, the 'Somewheres' and 'Anywheres' (as political journalist David Goodhart referred to them in his 2017 book, The Road to Somewhere), or the bubble-dwelling metropolitan 'liberal elite' and the 'left behind'? Culture is for the London types, the rumoured 'Islington set', the ones who weekend in Paris, Berlin, Rome or Vienna, who know their Alban Berg from their Constantin Brancusi, who can be found settling down on the sofa with a glass of Waitrose Recommends wine to watch whatever won the Palme d'Or at Cannes Film Festival. Everyone else has mugs of tea, battered cod and 'legitimate concerns about immigration'. These spurious dichotomies have thrived in the wake of the 2016 EU referendum and the crisis of self-flagellating British centrism that ensued. The cultural dimension of this crisis is suffused with what writer Joe Kennedy ingeniously termed, in his eponymous 2018 book, 'authentocracy': the scramble to assert an insight into, and membership of, the working class – not through any true understanding of economic status or relation to labour (and still less any genuinely left-wing analysis) but through a parade of tropes and fetishes associated with real(ist) working people and their opposite numbers, ensconced in Islington and equally phantasmatic.
What, then, are we to make of The State Between Us (2019), a diversely collaborative album spearheaded by experimental musician Matthew Herbert in response to the referendum result, for which a trumpet was recorded being battered and deep-fried upon a visit to Brenda's Chippie in the northern British seaside town of Cleethorpes, 70 percent of whose population voted to leave the EU?
If this gesture sounds like a parodic account of a Leave / Remain cultural exchange straight from the mind of satirist Chris Morris, we have to suspect this is part of the point. The meanings and messages of Herbert's unique soundwork are often enigmatic, even head-scratchingly deadpan. One of his long-term techniques sees him using sounds from highly specific contexts as starting points from which to construct conceptually unified albums, and from the results emanates a cultural and political ambience that, for all its sonic richness and specificity, can be provocatively, constructively, mute. Herbert has made albums from household objects (Around the House, 1998), the human body (Bodily Functions, 2001), the food chain (Plat du Jour, 2005), the life, butchering and consumption of a pig (One Pig, 2011) and the sound of a shell exploding in the Libyan civil war (The End of Silence, 2013). Alongside this, he has made house music (as 'Herbert') and has recorded with the Matthew Herbert Big Band since 2003, which on The State Between Us manifests as The Matthew Herbert Great Britain and Gibraltar European Union Membership Referendum Big Band (or 'Brexit Big Band'), which conducted a two-year 'apology tour' of the EU following the referendum, during which time the album was recorded.
Brexit Big Band performance at the Barbican, London. Courtesy: Matthew Herbert
So, what does a battered trumpet say about Brexit? The State Between Us cannot entirely be heard as protest music in the conventional sense of articulating a political message or standpoint. The closest it comes is on the album's handful of songs, such as 'You're Welcome Here', whose lyrics reassert, in the face of the referendum's accompanying surge of xenophobia, the promise of safe harbour for those who would need it from beyond the UK's borders. Yet, the song's positivity is complicated by its mournful scoring and delivery – most of the album, in fact, feels crepuscular and haunted – and, in any case, the message is not one that those who hold power, from the UK government to those manning the borders, are likely to agree with or implement. Some may hear the song as heroic but, for this listener at least, the track's intrigue is its tragic irony and, given how subjective political truths have proven to be in recent years, that may be apt. Reactions to Brexit: The Uncivil War (2019), a TV movie fictionalizing the referendum, varied similarly, with some Remainers scandalized by its glamourization of Brexiteers while Leavers divined yet another establishment smear job.
A battered trumpet is less a clear message about Brexit (and still less a political intervention) than it is a photographic portrait of it; less a metaphor than a metonym. More specifically, it's a tragicomic sketch of the bizarre gulfs in British culture that Brexit has implied, and the painfully insufficient narratives (stemming from both sides) of class and culture that surround it and the symbols on which it all turns. A photograph can often tell a political story with ease (famously, Dorothea Lange's depression-era 'Migrant Mother' in the American Dust Bowl in 1936 or Nick Ut's bomb-fleeing 'Napalm Girl' in Vietnam in 1972), but the microphone-enabled sonic equivalent can, in the absence of words, struggle to be as communicative. Thus The State Between Us comes across as a kind of 'action recording' (as in 'action painting'): sounds as traces, as disconnected souvenirs of a disconnected country and a disconnected continent, divorced from context and from reality, animated only by the memory of the gesture and its (re)construction in the imaginations of listeners and dreams of (European / British) citizens; it's a time capsule of a tumultuous and confused moment. The album is the work of over 1,000 participants and its creation has crisscrossed the UK and the continent: the resulting nearly two hours of sound is its often baffling, often poignant record.
The album features sounds recorded along the Northern Irish Border – which, historically sensitive in nature, is set to become the only significant external EU border post-Brexit – as well as from the perimeter of the British Prime Minister's country retreat, Chequers. There are noises associated with the decline of British manufacturing industries, of a swimmer crossing the English Channel, of 50-pence coins commemorating the EU. In fact, the album fittingly encapsulates the tumult of the past three years by not limiting itself to sounds adjacent to Brexit. The ecologically-themed track 'An A to Z of Endangered Animals' features ice drumming and various animal horns and shells while 'The Tower' contains recordings from the silent walk that marked the Grenfell Tower fire tragedy of 2017. (US President Donald Trump is one hot potato left alone, probably deserving of an album of his own.)
The Matthew Herbert Big Band, The State Between Us, 2019, album cover. Courtesy: Matthew Herbert
Brenda's sizzling battered trumpet appears on 'Fish and Chips' amid the soundscape of a seaside chip shop complete with customers and seagulls, whose cry is echoed at the track's conclusion by the single plaintive fart of the now highly calorific horn. Midway, a jaunty big-band groove appears as if it were the last words of the oil-submerged trumpet or its final reminiscence of better times. Throughout the album, in fact, the big-band sound carries heavy connotations of the 1940s and the golden age that Leavers are often seen to be perceiving and pining for. By extension, it evokes World War II, the heroic imagination of which has long animated Brexiteers – most famously invoking the putative 'Blitz Spirit' at the prospect of a No-Deal Brexit, while ignoring the all-too-real horrors of war that the EU offered itself as a solution to. Indeed, The State Between Us includes a rendition of Glenn Miller's 'Moonlight Serenade', originally recorded in 1939. Miller was famously photographed in his Army Air Forces uniform and died when his plane was lost over the English Channel in 1943. If there is a musical style that represents the misplaced and anachronistic ambitions of Brexit, it might well be that of 1940s big bands. The State Between Us captures this ironically but not unsympathetically, suggesting the image of white-haired couples bobbing in a pier ballroom as the spotlights slowly fade: one last dance, one last assertion of presence. This is the demographic that those most ardently calling for a second referendum periodically suggest has expired since 2016, thus crucially reducing Leave's already slim majority.
In the midst of things, few can hope to make a single coherent statement on the meaning and consequences of Brexit, whether as a stenographer or as an activist. This is not where the curious power of The State Between Us comes from. Instead, it worries the freshly exposed tensions that may well have torn the UK from the EU and the UK from itself, its Culture of collaboration and experimentation (coded European and literally European). It does not proclaim itself superior or authentic or even necessarily correct, but hauntedly trawls the sonic artefacts of its messy symbolism as if they could tell us anything more than that something has happened, that something has broken into pieces.
Main image; courtesy: Matthew Herbert
Adam Harper
Adam Harper is a lecturer in music based in London, UK, and the author of Infinite Music: Imagining the Next Millennium of Human Music-Making (2011).
Matthew Herbert
Olafur Eliasson at Tate Modern Review: Spectacle in an Age of Climate Crisis
Peter Strickland's Demon Dress Horror 'In Fabric' and the History of Killer Fashion
How the Art World Can Fight a 'Culture of Censorship'
Banksy Designs Stab-Proof Vest for Stormzy's Glastonbury Set
How Partial Blindness Showed Johann König How to Be a Gallerist
We're All Tired of Biennials – So What Comes Next? Part 1: A Report on the Inaugural Edition of osloBIENNALEN
The Poor-Shaming Vision of Pride in Taylor Swift's 'You Need to Calm Down'
The Art of Selling Luxury
Why Manga Shouldn't Pretend to Be High Art
More Meinung
How Murals Have Served as Mirrors for Political Change
Operation Night Watch is Revealing Rembrandt's Secrets (And You Can Watch Live)
Why in an Age of Climate Crisis, the Art World Must Shun Oil Sponsorship
What Happens When Artists Run Restaurants?
Ancient and Modern: The Re-opening of Fondazione Morra Greco in Naples


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Love in a Mist is a hardy annual that comes into bloom very quickly and will linger in your garden from June through August. This annual flowering plant loves full sun and well drained soil. The flowers measure 1.5" in diameter, and are white, periwinkle blue and shades of lavender. Seeds are packaged and germination tested for current year.
Live in a Mist is a vigorous growing annual that will flourish to a height of 2 feet. Gardeners love to use this plant as a cut flower or as a visually appealing border plant. The foliage of Love in a Mist is very fine and adds interest and charm.


text:
import binascii
import struct

from neblina import *
from neblinaUtilities import NebUtilities as nebUtilities

###################################################################################

class AckData(object):

    def __init__(self):
        pass

    def __str__(self):
        return "Acknowledgment"

###################################################################################

class BlankData(object):
    """ This object is for packet data
        containing no meaningful info in it.
    """
    def __init__(self, dataString):
        if len(dataString) > 0:
            self.blankBytes = struct.unpack(Formatting.Data.Blank, dataString)
        else:
            self.blankBytes = ('\000'*16).encode('utf-8')

    def __str__(self):
        return '{0}'.format(self.blankBytes)

    def encode(self):
        garbage = ('\000'*16).encode('utf-8')
        return struct.pack(Formatting.Data.Blank, garbage)

###################################################################################

class MotionStatusData(object):
    def __init__(self, distance=False, force=False, euler=False, quaternion=False, imu=False,
                 motion=False, steps=False, mag=False, sitStand=False):
        self.distance = distance
        self.force = force
        self.euler = euler
        self.quaternion = quaternion
        self.imu = imu
        self.motion = motion
        self.steps = steps
        self.mag = mag
        self.sitStand = sitStand

    def __str__(self):
        return "Distance: {0}, Force:{1}, Euler:{2}, Quaternion:{3}, IMUData:{4}, Motion:{5}, Steps:{6}, MAGData:{7}, SitStand:{8}"\
        .format(self.distance, self.force, self.euler, self.quaternion,\
                self.imuData, self.motion, self.steps, self.magData,\
                self.sitStand)

###################################################################################

class RecorderStatusData(object):
    recorderStatusStrings = {
        0:"Off",
        1:"Recording",
        2:"Playback",
    }

    def __init__(self, status=0):
        self.status = 0

    def __str__(self):
        return "RecorderStatus:{0}"\
            .format(RecorderStatusData.recorderStatusStrings[self.status])

###################################################################################

class MotAndFlashRecStateData(object):
    """ Neblina motion and flash recording state

        Formatting:
        - Timestamp (unused for now)
    """

    recorderStatusStrings = {
        0:"Off",
        1:"Recording",
        2:"Playback",
    }

    def __init__(self, dataString):
        self.motionStatus = MotionStatusData()
        self.recorderStatus = RecorderStatusData()

        self.timestamp, \
        motionEngineStatusBytes,\
        self.recorderStatus.status,\
        garbage = struct.unpack(Formatting.Data.MotionAndFlash, dataString)

        # Extract motion engine state
        self.motionStatus = MotionStatusData()
        self.motionStatus.distance = ((motionEngineStatusBytes[0] & 0x01) == 1)
        self.motionStatus.force = (((motionEngineStatusBytes[0] & 0x02) >> 1) == 1)
        self.motionStatus.euler = (((motionEngineStatusBytes[0] & 0x04) >> 2) == 1)
        self.motionStatus.quaternion = (((motionEngineStatusBytes[0] & 0x08) >> 3) == 1)
        self.motionStatus.imuData = (((motionEngineStatusBytes[0] & 0x10) >> 4) == 1)
        self.motionStatus.motion = (((motionEngineStatusBytes[0] & 0x20) >> 5) == 1)
        self.motionStatus.steps = (((motionEngineStatusBytes[0] & 0x40) >> 6) == 1)
        self.motionStatus.magData = (((motionEngineStatusBytes[0] & 0x80) >> 7) == 1)
        self.motionStatus.sitStand = ((motionEngineStatusBytes[1] & 0x01) == 1)

    def __str__(self):
        return "{0}. {1}"\
            .format(self.motionStatus, self.recorderStatus)

###################################################################################

class EEPROMReadData(object):
    """ Neblina EEPROM read data

        Formatting:
        - Page number
        - 8 bytes R/W data
    """
    def __init__(self, dataString):
        self.pageNumber, \
        self.dataBytes,\
        garbage = struct.unpack(Formatting.Data.EEPROMRead, dataString)

    def __str__(self):
        return "Page# {0} Data Bytes:{1} ".format(self.pageNumber, self.dataBytes)

###################################################################################

class LEDGetValData(object):
    """ Neblina LED retrieval data

        Formatting:
        - Number of LEDs (defines the number of index/value pair to be use)
        - LED Index (one for each LEDs)
        - LED Value (one for each LEDs)
    """
    def __init__(self, dataString):
        self.ledState = [0]*8
        self.ledState[0], self.ledState[1], self.ledState[2], \
        self.ledState[3], self.ledState[4], self.ledState[5], self.ledState[6], \
        self.ledState[7] = struct.unpack(Formatting.Data.LEDGetVal, dataString)

    def __str__(self):
        return "LED Values: {0}".format(self.ledState)

###################################################################################

class BatteryLevelData(object):
    """ Neblina battery level data

        Formatting:
        - Battery level (%)
    """
    def __init__(self, dataString):
        # timestamp = 0
        timestamp, \
        self.batteryLevel,\
        garbage = struct.unpack(Formatting.Data.BatteryLevel, dataString)
        self.batteryLevel = self.batteryLevel/10

    def __str__(self):
        return "batteryLevel: {0}%".format(self.batteryLevel)

###################################################################################

class TemperatureData(object):
    """ Neblina temperature data

        Formatting:
        - Temperature in Celsius (x100)
    """
    def __init__(self, dataString):
        # timestamp = 0
        self.timestamp, \
        self.temperature,\
        garbage = struct.unpack(Formatting.Data.Temperature, dataString)
        self.temperature = self.temperature/100

    def __str__(self):
        return "{0}us: Temperature: {1}%".format(self.timestamp, self.temperature)

    def encode(self):
        garbage = ('\000'*10).encode('utf-8')
        packetString = struct.pack(Formatting.Data.Temperature, self.timestamp,\
        self.temperature, garbage)
        return packetString('utf-8')

###################################################################################

class FlashSessionData(object):
    """ Neblina flash session data

        Formatting:
        - Timestamp
        - Open/Close
        - Session ID
    """
    def __init__(self, dataString):
        timestamp,\
        openCloseByte,\
        self.sessionID,\
        garbage = struct.unpack(Formatting.CommandData.FlashSession, dataString)
        # open = True, close = False
        self.openClose = (openCloseByte == 1)

    def __str__(self):
        openCloseString = 'open' if self.openClose else 'close'
        return "Session {0}: {1}"\
        .format(self.sessionID, openCloseString)

###################################################################################

class FlashSessionInfoData(object):
    """ Neblina flash session information data

        Formatting:
        - Timestamp
        - Session ID
    """
    def __init__(self, dataString):
        self.sessionLengthBytes,\
        self.sessionID,\
        garbage = struct.unpack(Formatting.CommandData.FlashSessionInfo, dataString)
        if self.sessionLengthBytes > 0:
            self.sessionLength = self.sessionLengthBytes / 18
        else:
            self.sessionLength = self.sessionLengthBytes

    def __str__(self):
        return "Session {0}: {1} bytes"\
        .format(self.sessionID, self.sessionLengthBytes)

###################################################################################

class FlashNumSessionsData(object):
    """ Neblina flash number of sessions data

        Formatting:
        - Reserved
        - Number of sessions
    """
    def __init__(self, dataString):
        reserved,\
        self.numSessions,\
        garbage = struct.unpack(Formatting.Data.FlashNumSessions, dataString)

    def __str__(self):
        return "Number of sessions: {0}"\
        .format(self.numSessions)

###################################################################################

class FirmwareVersionsData(object):
    """ Neblina firmware versions data

        Formatting:
        - API release
        - MCU Major/Minor/Build
        - BLE Major/Minor/Build
        - Device ID
    """
    def __init__(self, deviceID, apiRelease, mcuFWVersion, bleFWVersion):
        assert len(mcuFWVersion)==3
        assert len(bleFWVersion)==3

        self.deviceID = deviceID
        self.apiRelease = apiRelease
        self.mcuFWVersion = mcuFWVersion
        self.bleFWVersion = bleFWVersion

    def __str__(self):
        string = "API Release: {0}\n".format(self.apiRelease)
        string += "BLE Version: {0}.{1}.{2}\n".format(self.bleFWVersion[0], self.bleFWVersion[1], self.bleFWVersion[2])
        string += "MCU Version: {0}.{1}.{2}\n".format(self.mcuFWVersion[0], self.mcuFWVersion[1], self.mcuFWVersion[2])
        string += "Device ID: {0}".format(binascii.hexlify(self.deviceID))
        return string

    @classmethod
    def decode(cls, dataString):
        mcuFWVersion = [0]*3
        bleFWVersion = [0]*3

        apiRelease,\
        mcuFWVersion[0], mcuFWVersion[1], mcuFWVersion[2],\
        bleFWVersion[0], bleFWVersion[1], bleFWVersion[2],\
        deviceID = struct.unpack(Formatting.Data.FWVersions, dataString)

        return cls(deviceID, apiRelease, mcuFWVersion, bleFWVersion)

    def encode(self):
        packetString = struct.pack(Formatting.Data.FWVersions, self.apiRelease, \
            self.mcuFWVersion[0], self.mcuFWVersion[1], self.mcuFWVersion[2],\
            self.bleFWVersion[0], self.bleFWVersion[1], self.bleFWVersion[2], self.deviceID)
        return packetString

###################################################################################

# Special 70 byte packet
# motion, imu+mag, quaternion, euler, force, error, motion track, motion track progress, timestamp, stepCount, walkingDirection, sitStand
class UnitTestMotionData(object):
    """ Neblina motion data (used for debugging and testing)

        Formatting:
        - Motion State
        - Accelerometer (x,y,z)
        - Gyroscope (x,y,z)
        - Magnetometer (x,y,z)
        - Quaternion (quat0,quat1,quat2,quat3)
        - Euler (yaw,pitch,roll)
        - External forces (x,y,z)
        - Euler angle errors (x,y,z)
        - Motion track counter
        - Motion track progress
        - Timestamp
        - Steps
        - Direction
        - Sit stand
        - Sit time
        - Stand time
    """

    motionStrings = {
        0: "No Change",
        1: "Stops Moving",
        2: "Starts Moving",
    }

    def __init__(self, dataString):
        self.accel = [0]*3
        self.gyro = [0]*3
        self.mag = [0]*3
        self.quaternions = [0]*4
        self.eulerAngleErrors = [0]*3
        self.externalForces = [0]*3
        self.startStop,\
        self.accel[0], self.accel[1], self.accel[2],\
        self.gyro[0], self.gyro[1], self.gyro[2],\
        self.mag[0], self.mag[1], self.mag[2],\
        self.quaternions[0], self.quaternions[1],\
        self.quaternions[2], self.quaternions[3],\
        self.yaw, self.pitch, self.roll,\
        self.externalForces[0],\
        self.externalForces[1],\
        self.externalForces[2],\
        self.eulerAngleErrors[0],\
        self.eulerAngleErrors[1],\
        self.eulerAngleErrors[2],\
        self.motionTrack, self.motionTrackProgress,\
        self.timestamp, self.stepCount,\
        self.walkingDirection,\
        self.sitStand, self.sitTime, self.standTime,\
        = struct.unpack(Formatting.Data.UnitTestMotion, dataString)

    def __str__(self):
        return "Motion: {0} \n\
        accelxyz:({1},{2},{3}) gyroxyz:({4},{5},{6}) \
        magxyz: ({7}, {8}, {9}),\n\
        quat0:{10} quat1:{11} quat2:{12} quat3:{13} \n\
        yaw/pitch/roll:({14},{15},{16})) \n\
        externalForces(x,y,z):({17},{18},{19}) \n\
        eulerAngleErrors(x,y,z):({20},{21},{22}) \n\
        motionTrackCounter: {24} \
        motionTrackProgress: {25} \n\
        timestamp: {26} \n\
        steps: {27} \
        direction: {28} \n\
        sitStand: {29}, sitTime:{30}, standTime:{31}"\
        .format(Formatting.Data.UnitTestMotion,\
            UnitTestMotionData.motionStrings[self.startStop],\
            self.startStop,\
            self.accel[0], self.accel[1], self.accel[2],\
            self.gyro[0], self.gyro[1], self.gyro[2],\
            self.mag[0], self.mag[1], self.mag[2],\
            self.quaternions[0], self.quaternions[1],\
            self.quaternions[2], self.quaternions[3],\
            self.yaw, self.pitch, self.roll,\
            self.externalForces[0],\
            self.externalForces[1],\
            self.externalForces[2],\
            self.eulerAngleErrors[0],\
            self.eulerAngleErrors[1],\
            self.eulerAngleErrors[2],\
            self.motionTrack, self.motionTrackProgress,\
            self.timestamp, self.stepCount,\
            self.walkingDirection,\
            self.sitStand, self.sitTime, self.standTime)

    def encode(self):
        packetBytes = struct.pack(Formatting.Data.UnitTestMotion,\
            self.startStop,\
            self.accel[0], self.accel[1], self.accel[2],\
            self.gyro[0], self.gyro[1], self.gyro[2],\
            self.mag[0], self.mag[1], self.mag[2],\
            self.quaternions[0], self.quaternions[1],\
            self.quaternions[2], self.quaternions[3],\
            self.yaw, self.pitch, self.roll,\
            self.externalForces[0],\
            self.externalForces[1],\
            self.externalForces[2],\
            self.eulerAngleErrors[0],\
            self.eulerAngleErrors[1],\
            self.eulerAngleErrors[2],\
            self.motionTrack, self.motionTrackProgress,\
            self.timestamp, self.stepCount,\
            self.walkingDirection,\
            self.sitStand, self.sitTime, self.standTime)
        return packetBytes

###################################################################################

class MotionStateData(object):
    """ Neblina motion state data

        Formatting:
        - Timestamp
        - Start/Stop
    """
    def __init__(self, dataString):
        self.timestamp,\
        startStopByte,\
        garbage = struct.unpack(Formatting.Data.MotionState, dataString)
        self.startStop = (startStopByte == 0)

    def __str__(self):
        return "{0}us: startStop:{1})"\
        .format(self.timestamp,self.startStop)

    def encode(self):
        garbage = ('\000'*11).encode('utf-8')
        packetString = struct.pack(Formatting.Data.MotionState, self.timestamp,\
        self.startStop, garbage)
        return packetString

###################################################################################

class ExternalForceData(object):
    """ Neblina external force data

        Formatting:
        - Timestamp
        - External forces (x,y,z)
    """
    def __init__(self, dataString):
        self.externalForces = [0]*3
        self.timestamp,\
        self.externalForces[0],\
        self.externalForces[1],\
        self.externalForces[2],\
        garbage = struct.unpack(Formatting.Data.ExternalForce, dataString)

    def __str__(self):
        return "{0}us: externalForces(x,y,z):({1},{2},{3})"\
        .format(self.timestamp,self.externalForces[0],\
            self.externalForces[1], self.externalForces[2])

    def encode(self):
        garbage = ('\000'*6).encode('utf-8')
        packetString = struct.pack(Formatting.Data.ExternalForce, self.timestamp,\
        self.externalForces[0], self.externalForces[1], self.externalForces[2], garbage)
        return packetString

    def csvString(self):
        packetString = "{0};{1};{2};{3};".format(self.timestamp,\
            self.externalForces[0], self.externalForces[1], self.externalForces[2])
        return packetString

###################################################################################

class TrajectoryDistanceData(object):
    """ Trajectory distance data

        Formatting:
        - Timestamp
        - Euler angle errors (x,y,z)
        - Repeat count
        - Completion percentage (%)
    """
    def __init__(self, dataString):
        self.eulerAngleErrors = [0]*3
        self.timestamp,\
        self.eulerAngleErrors[0],\
        self.eulerAngleErrors[1],\
        self.eulerAngleErrors[2],\
        self.count,\
        self.progress,\
        garbage = struct.unpack(Formatting.Data.TrajectoryDistance, dataString)

    def __str__(self):
        return "{0}us: eulerAngleErrors(yaw,pitch,roll):({1},{2},{3}), count:{4}, progress:{5}%"\
        .format(self.timestamp,self.eulerAngleErrors[0],\
            self.eulerAngleErrors[1], self.eulerAngleErrors[2], self.count, self.progress)

    def encode(self):
        garbage = ('\000'*3).encode('utf-8')
        packetString = struct.pack(Formatting.Data.TrajectoryDistance, self.timestamp,\
        self.eulerAngleErrors[0], self.eulerAngleErrors[1], self.eulerAngleErrors[2], self.count, self.progress, garbage)
        return packetString

###################################################################################

class PedometerData(object):
    """ Neblina pedometer data

        Formatting:
        - Timestamp
        - Step count
        - Steps per minute
        - Walking direction
    """
    def __init__(self, dataString):
        self.timestamp,self.stepCount,\
        self.stepsPerMinute,\
        self.walkingDirection,\
        garbage = struct.unpack(Formatting.Data.Pedometer, dataString)
        self.walkingDirection /= 10.0

    def encode(self):
        garbage = ('\000'*7).encode('utf-8')
        packetString = struct.pack(Formatting.Data.Pedometer, self.timestamp,\
        self.stepCount, self.stepsPerMinute, int(self.walkingDirection*10), garbage)
        return packetString

    def __str__(self):
        return "{0}us: stepCount:{1}, stepsPerMinute:{2}, walkingDirection:{3}"\
        .format(self.timestamp, self.stepCount,\
        self.stepsPerMinute, self.walkingDirection)

    def csvString(self):
        packetString = "{0};{1};{2};{3};".format(self.timestamp,\
            self.stepCount, self.stepsPerMinute, self.walkingDirection)
        return packetString

###################################################################################

class FingerGestureData(object):
    """ Neblina finger gesture data

        Formatting:
        - Timestamp
        - Rotation count
    """

    def __init__(self, dataString):
        self.timestamp,self.gesture,\
        garbage = struct.unpack(Formatting.Data.FingerGesture, dataString)

    def __str__(self):
        if self.gesture==0:
            return "{0}us: Gesture:Swiped Left".format(self.timestamp)
        elif self.gesture==1:
            return "{0}us: Gesture:Swiped Right".format(self.timestamp)
        elif self.gesture==2:
            return "{0}us: Gesture:Swiped Up".format(self.timestamp)
        elif self.gesture==3:
            return "{0}us: Gesture:Swiped Down".format(self.timestamp)
        elif self.gesture==4:
            return "{0}us: Gesture:Flipped Left".format(self.timestamp)
        elif self.gesture==5:
            return "{0}us: Gesture:Flipped Right".format(self.timestamp)
        elif self.gesture==6:
            return "{0}us: Gesture:Double Tap".format(self.timestamp)
        else:
            return "{0}us: Gesture:None ".format(self.timestamp)

    def encode(self):
        garbage = ('\000'*11).encode('utf-8')
        packetString = struct.pack(Formatting.Data.FingerGesture, self.timestamp,\
        self.gesture, garbage)
        return packetString

###################################################################################

class RotationData(object):
    """ Neblina rotation data

        Formatting:
        - Timestamp
        - Rotation count
        - Speed (RPM)
    """
    def __init__(self, dataString):
        self.timestamp,self.rotationCount,\
        self.rpm,\
        garbage = struct.unpack(Formatting.Data.RotationInfo, dataString)
        self.rpm = self.rpm/10.0

    def __str__(self):
        return "{0}us: rotationCount:{1}, rpm:{2}"\
        .format(self.timestamp, self.rotationCount,\
        self.rpm)

    def encode(self):
        garbage = ('\000'*6).encode('utf-8')
        packetString = struct.pack(Formatting.Data.RotationInfo, self.timestamp,\
        self.rotationCount, int(self.rpm*10), garbage)
        return packetString

    def csvString(self):
        packetString = "{0};{1};{2};".format(self.timestamp,\
        self.rotationCount, self.rpm)
        return packetString

###################################################################################

class QuaternionData(object):
    """ Neblina quaternion data

        Formatting:
        - Timestamp
        - Quaternion (quat1,quat2,quat3,quat4)
    """
    def __init__(self, dataString):
        self.quaternions = [0]*4
        self.timestamp,\
        self.quaternions[0],\
        self.quaternions[1],\
        self.quaternions[2],\
        self.quaternions[3],\
        garbage = struct.unpack(Formatting.Data.Quaternion, dataString)

    def encode(self):
        garbage = ('\000'*4).encode('utf-8')
        packetString = struct.pack(Formatting.Data.Quaternion, self.timestamp,\
        self.quaternions[0], self.quaternions[1],\
        self.quaternions[2], self.quaternions[3], garbage)
        return packetString

    def __str__(self):
        return "{0}us: quat0:{1} quat1:{2} quat2:{3} quat3:{4}".format(\
            self.timestamp, self.quaternions[0], self.quaternions[1],\
            self.quaternions[2], self.quaternions[3])

    def csvString(self):
        packetString = "{0};{1};{2};{3};{4};".format(self.timestamp,\
            self.quaternions[0], self.quaternions[1], self.quaternions[2], self.quaternions[3])
        return packetString

###################################################################################

class IMUData(object):
    """ Neblina IMU data

        Formatting:
        - Timestamp
        - Accelerometer (x,y,z)
        - Gyroscope (x,y,z)
    """
    def __init__(self, timestamp, accel, gyro):
        self.accel = [0]*3
        self.gyro = [0]*3
        assert len(accel)==3
        assert len(gyro)==3

        self.timestamp = timestamp
        self.accel[0] = int(accel[0])
        self.accel[1] = int(accel[1])
        self.accel[2] = int(accel[2])
        self.gyro[0] = int(gyro[0])
        self.gyro[1] = int(gyro[1])
        self.gyro[2] = int(gyro[2])

    def __str__(self):
        return "{0}us: accelxyz:({1},{2},{3}) gyroxyz:({4},{5},{6})"\
        .format(self.timestamp,
                self.accel[0], self.accel[1], self.accel[2],
                self.gyro[0], self.gyro[1], self.gyro[2])

    @classmethod
    def decode(cls, dataString):
        accel = [0]*3
        gyro = [0]*3

        timestamp, \
        accel[0], accel[1], accel[2],\
        gyro[0], gyro[1], gyro[2] \
        = struct.unpack(Formatting.Data.IMU, dataString)

        return cls(timestamp, accel, gyro)

    def encode(self):
        packetString = struct.pack(Formatting.Data.IMU,\
            self.timestamp, self.accel[0], self.accel[1], self.accel[2],\
            self.gyro[0], self.gyro[1], self.gyro[2])
        return packetString

    def csvString(self):
        packetString = "{0};{1};{2};{3};{4};{5};{6}".format(self.timestamp,\
            self.accel[0], self.accel[1], self.accel[2], self.gyro[0], self.gyro[1], self.gyro[2])
        return packetString

###################################################################################

class MAGData(object):
    """ Neblina magnetometer data

        Formatting:
        - Timestamp
        - Magnetometer (x,y,z)
        - Accelerometer (x,y,z)
    """
    def __init__(self, timestamp, mag, accel):
        self.mag = [0]*3
        self.accel = [0]*3
        assert len(mag) == 3
        assert len(accel) == 3

        self.timestamp = timestamp
        self.mag[0] = int(mag[0])
        self.mag[1] = int(mag[1])
        self.mag[2] = int(mag[2])
        self.accel[0] = int(accel[0])
        self.accel[1] = int(accel[1])
        self.accel[2] = int(accel[2])

    def __str__(self):
        return "{0}us: accelxyz:({1},{2},{3}) magxyz:({4},{5},{6})"\
        .format(self.timestamp,
                self.accel[0], self.accel[1], self.accel[2],
                self.mag[0], self.mag[1], self.mag[2])

    @classmethod
    def decode(cls, dataString):
        mag = [0]*3
        accel = [0]*3

        timestamp, \
        mag[0], mag[1], mag[2],\
        accel[0], accel[1], accel[2] \
        = struct.unpack(Formatting.Data.MAG, dataString)

        return cls(timestamp, mag, accel)

    def encode(self):
        packetString = struct.pack(Formatting.Data.MAG, \
            self.timestamp, self.mag[0], self.mag[1], self.mag[2],\
            self.accel[0], self.accel[1], self.accel[2])
        return packetString

    def csvString(self):
        packetString = "{0};{1};{2};{3};{4};{5};{6}".format(self.timestamp,\
            self.accel[0], self.accel[1], self.accel[2], self.mag[0], self.mag[1], self.mag[2])
        return packetString

###################################################################################

class EulerAngleData(object):
    """ Neblina euler angle data

        Formatting:
        - Timestamp
        - Euler angle (yaw,pitch,roll,heading)
    """
    def __init__(self, dataString):
        self.timestamp, self.yaw, self.pitch, self.roll, self.demoHeading,\
            garbage = struct.unpack(Formatting.Data.Euler, dataString)
        self.yaw = self.yaw/10.0
        self.pitch = self.pitch/10.0
        self.roll = self.roll/10.0
        self.demoHeading = self.demoHeading/10.0

    def encode(self):
        garbage = ('\000'*4).encode('utf-8')
        packetString = struct.pack(Formatting.Data.Euler, self.timestamp,\
            int(self.yaw*10), int(self.pitch*10), int(self.roll*10), int(self.demoHeading*10), garbage)
        return packetString

    def __str__(self):
        return "{0}us: yaw/pitch/roll:({1},{2},{3}))".format(self.timestamp,self.yaw, self.pitch, self.roll)

    def csvString(self):
        packetString = "{0};{1};{2};{3};{4};".format(self.timestamp,\
            self.yaw, self.pitch, self.roll, self.demoHeading)
        return packetString

###################################################################################

class DataPortStatusData(object):
    """ Neblina data port status data

        Formatting:
        - Data port ID
        - Open/Close
    """
    def __init__(self, portID, openClose):
        self.portID = portID
        self.openClose = openClose

    def __str__(self):
        return "portID: {0}, openClose: {1}" \
            .format(self.portID, self.openClose)

    @classmethod
    def decode(cls, dataString):
        portID, openClose = struct.unpack(Formatting.CommandData.SetDataPortState, dataString)
        return cls(portID, openClose)

    def encode(self):
        packetString = struct.pack(Formatting.CommandData.SetDataPortState, \
                                   self.portID, self.openClose)
        return packetString


text:
Call nowBook now
CLICK HERE TO SEE OUR BOOK DIRECT SPECIALS.
Map Out Your Ultimate Drive from Fort Lauderdale to Key West
Key West is home to countless adventures just waiting for you to discover them. However, you don't have to wait until you check into NYAH for the fun to begin. Start your vacation the minute you begin your drive from Fort Lauderdale to our Key West hotel. At just about four hours, this drive is the perfect road trip to start our Florida getaway. What to See and Do on Your Road Trip There is one main route from Fort Lauderdale to Key West. Keep in mind there are tolls, so you will need coins to pay for them. Consider [...]
webservices2022-10-19T15:39:25+00:00Blog, Key West Attractions, Key West Group Activities, NYA Hotels Lodging|
Where to Find Incredible Pizza in Key West
Set Off Exploring Key West on a Jet Ski
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How to Celebrate New Year's Eve in Key West
Start Your Day Off with a Delicious Brunch in Key West
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The Rail offers discounted Stay & Play packages with several area hotels. Packages are based on double occupancy accommodations and golf. Prices start at $83.00 per person. All hotels are located within 10 minutes of the golf course. One 10 minute phone call to our staff plans all your package details, and we'll make sure your trip is an overwhelming success!
For more information please contact The Rail Golf Course @ (217) 525-0365.


This fourth volume of the landmark handbook focuses on the design, testing, and thermal management of 3D-integrated circuits, both from a technological and materials science perspective.
Edited and authored by key contributors from top research institutions and high-tech companies, the first part of the book provides an overview of the latest developments in 3D chip design, including challenges and opportunities. The second part focuses on the test methods used to assess the quality and reliability of the 3D-integrated circuits, while the third and final part deals with thermal management and advanced cooling technologies and their integration.
Paul D. Franzon is currently the Cirrus Logic Distinguished Professor of Electrical and Computer Engineering and Director of Graduate programs in ECE at North Carolina State University. He earned his PhD from the University of Adelaide, Adelaide, Australia. He has also worked at AT&T Bell Laboratories, DSTO Australia, Australia Telecom and four companies he cofounded, Communica, LightSpin Technologies, Polymer Braille Inc. and Avago. His current interests include applying machine learning to EDA, building machine learning accelerators, neuromorphic computing, RFID, advanced packaging, 3DICs and secure chip design. He has lead several major efforts and published over 300 papers in these areas. In 1993 he received an NSF Young Investigators Award, in 2001 was selected to join the NCSU Academy of Outstanding Teachers, in 2003, selected as a Distinguished Alumni Professor, received the Alcoa Research Award in 2005, and the Board of Governors Teaching Award in 2014. He served with the Australian Army Reserve for 13 years as an Infantry Soldier and Officer. He is a Fellow of the IEEE.
Erik Jan Marinissen is Principal Scientist at IMEC in Leuven, Belgium and part-time Visiting Researcher at Eindhoven University of Technology in the Netherlands. Prior to IMEC, he worked at NXP Semiconductors and Philips Research in Eindhoven, Nijmegen, and Sunnyvale (CA). His research on IC test and design-for-test covers topics as diverse as modular test of SoCs, 3D-stacked ICs, CMOS below 10nm, silicon photonics, and STT-MRAMs. Marinissen received the MSc degree in computing science and the PDEng degree in software technology from Eindhoven University of Technology. An IEEE Fellow, he is a co-author of more than 275 journal and conference papers and a co-inventor of 18 granted patent families. He served as editor-in-chief of IEEE Std 1500 and as founder/chair of the IEEE Std P1838 Working Group on 3D-SIC test access. In 2019-2021, he serves on the Board of Governors of IEEE Computer Society.
Muhannad S. Bakir is a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is a recipient of the 2018 IEEE Electronics Packaging Society (EPS) Exceptional Technical Achievement Award "for contributions to 2.5D and 3D IC heterogeneous integration, with focus on interconnect technologies". He is also a recipient of the 2018 McKnight Foundation Technological Innovations in Neuroscience Award, 2013 Intel Early Career Faculty Honor Award, 2012 DARPA Young Faculty Award, and 2011 IEEE EPS Outstanding Young Engineer Award. He has published more than 200 journal and conference papers in the areas of 2.5D and 3D IC heterogeneous integration, power delivery, embedded cooling, photonic interconnects, and flexible interconnects. Dr. Bakir serves on the editorial board of IEEE Transactions on Components, Packaging and Manufacturing Technology (TCPMT) and IEEE Transactions on Electron Devices (TED). He is a Distinguished Lecturer for IEEE EPS.
Philip Garrou is a consultant and expert witness in the field of IC packaging materials and applications, prior to which he was Director of Technology and Business Development for Dow Chemicals' Electronic Materials business. He is author of the weekly blog "Insights from the Leading Edge" (IFTLE) at www.3Dincites.com.
Mitsumasa Koyanagi is Professor in the Graduate School of Engineering at Tohoku University, Japan. After his PhD he joined the Central Research Laboratory of Hitachi where he was engaged in the research on semiconductor memories. Afterwards he worked at the Xerox Palo Alto Research Center in California, USA, before he became Professor in the Research Center for Integrated Systems at Hiroshima University, Japan.
Peter Ramm is Head of Strategic Projects at Fraunhofer EMFT in Munich, Germany. He received Physics and Dr. rer. nat. degrees from the University of Regensburg and subsequently worked for Siemens in their DRAM facility in Regensburg, where he was responsible for the overall process integration with focus on backend-of-line. In 1988 he joined Fraunhofer IFT (now EMFT), working mainly on integration technologies for innovative devices and heterogeneous systems including the development of 3D TSV processes. Peter Ramm is co-author of over 100 publications and 36 issued patents (US, EU, Japan). He is IEEE Senior Member, IMAPS Fellow and Life Member, and received the Technical Achievement Award "For Pioneering Work on 3D IC Stacking and Integration" from IMAPS. Peter Ramm is co-editor of Wiley-VCH's "Handbook of Wafer Bonding" and "Encyclopedia on Materials, Science and Technology".


text:
RADP / Pulse Kenya > News > Politics
See interesting video of Uhuru's personal bodyguard casting his vote
Anthony Maina
The bodyguard voted alongside his boss, President Uhuru Kenyatta.
An interesting video has emerged of President Uhuru Kenyattas chief bodyguard casting his vote in Gatundu.
Kenyatta's mean looking bodyguard has become a notable figure always on the President's side, so much so that the two actually vote together.
Yesterday, as the President was casting his vote at Mutomo Primary School, his bodyguard did not have time to waste and stood closely next to his boss, while at the same time collecting his own ballot papers.
The bodyguard, whose identity is kept a secret for security reasons, is said to be a highly trained member of the recce squad.
President Kenyatta's new aide de camp Lt Victor Mburu, who role is largely ceremonial, did not vote as army officers do not take part in the voting process.
Here is the video, courtesy of Daily Nation:


Hockey Plumber: Beacuse its "Canada's Game"?
"...I'm a Habs fan I want the Leafs to come to the playoffs because more Canadian teams mean more chances of winning a Stanley cup from a Canadian team."
What is this, and can the class please tell me what is wrong with this statement?
This just does not work for me on so many levels.
1.) You are ok with a rival team winning it all?
Really? Canadiens fan is cool with Ottawa or Toronto hoisting the Cup after watching the Habs bow out in round one? I know when my team fails in it's bid for the grail, it does my heart no better to see another U.S. based team win it... and certainly, it would sicken me to see a divisional rival take the Cup away from my team.
2.) Can the NHL become more of an international game?
Not to belabor the point, but just as an example: The "Canadiens" roster features 11 Canadian born players who skate along side 13 non-Canadian borns, made up of 5 U.S., 3 Czech, 2 Belarus borns, a Russian, Swiss and Slovakian born. Incidentally, Les Canadiens are Canada's least Canadian team.
The Flyers, who boast 16 Canadians and 4 nons, were to defeat Toronto (12 Canadians), Ottawa (13 Canadians) and Montreal (11 Canadians) in successive rounds on their way to the final? What part of Canada is doing the winning and losing here?
Don't you want to see Canada triumph in the Olympics and the World Championships? Sure you do! But don't go pledging allegiance to another NHL club until you know where they were manufactured, ok?
No offense. Hope I haven't cooked it here. I don't mean to be a hoser, eh? Je suis désolé très.
*No geese, beavers or moose were used in the testing of this post.
I guess the Plumber isn't Canadian.
Good quick read, I really don't get it either. There is a Leafs fan at my work who "hates" the Habs all season, then April hits and he's rooting for them. It's stupid.
I get not rooting for the more southern teams, but if you're a Nucks fan are you really going to root for the Flames or Oilers over a tradtional market say Flyers, Bruins, Rangers, Pens, Wings etc etc.
Or even modern cold weather team Minnesota isn't hurting the NHL. Or even rooting for a yound exciting team - Chicago.


text:
A Look At Alien: Isolation
Oh it's a Gaming Evolved title…
Oct 17, 2014 by Thomas Ryan
Alien: Isolation is a well-made game. Its good-looking, the sounds design is amazing, and the story is decent. It's a game designed to make you experience fear. But it evokes a very simple and impactful kind of fear. Largely the driving force behind this fear is the notion that the ten foot tall, four hundred pound monster that's killing everyone around you is coming for you next. You can't stop it, you can't kill it, and the only thing you can do is hide and scurry away from him when he goes to hunt for you in a different room.
To be clear there is only one Alien in this game; just one. But that's all it takes because just the presence of one Alien has turned a functioning space port with numerous crew members into a crumbling, unstable, post-apocalyptic world where an unstoppable monster is hunting you.
Alien: Isolation is at its core about survival. There's no tangible way to help the feckless people you find throughout the game and there's no way to stop the Alien from killing everyone. The only thing you can control is whether or not you live. Sometimes that means hiding in a locker and waiting for the Alien to pass, other times it means throwing a flare into another room across the hall to distract it, and still in other instances it means ensuring your own survival by condemning others to death at the claws and jaws of the Alien.
It's truly an enthralling game but it's also an inherently risky game because of how much thought and emotion it demands from the player. There were multiple times while I was playing through this game that I just had get up and walk away. The stress, the fear, the creepy noises, and the constant foreboding cumulatively wore out my desire to continue engaging in a fantasy world devoted to killing me in surprising and gruesome ways.
That said there's something about this game that draws you back to it. Like a Siren's call I would feel compelled to pick the game back up and continue playing. Whatever the reason I engaged in a cycle of periodically running to and then running from this game as I slowly worked my way through it. This was probably the best way to play it, in small doses rather than one large bust, because of its nature as a fear-based challenge rather than a therapeutic shooter.
Looking at the game from a more technical perspective Alien: Isolation is an attractive looking game that's an integral part of AMD's latest iteration of the Gaming Evolved program. For the sake of transparency we received our copy of this game directly from AMD just before it launched last week.
AMD and The Creative Assembly worked together to on the game to ensure that it performed particularly well on AMD's Graphics Core Next GPUs. One of the more interesting things that AMD helped The Creative Assembly implement is what they call silhouette-enhancing tessellation. This technique aims to improve the visual fidelity of a scene by selectively applying a varying level of tessellation to the edges of the objects currently visible to the player. It's similar in concept to edge-detecting antialiasing algorithms where the goal is to perform a performance intensive task to only the areas of the frame where it will be appreciated rather than applying it indiscriminately.
While the battle over tessellation performance isn't nearly as strong as it was three years ago it seems that AMD is continuing its efforts to promote continually more judicious use of tessellation. An unsurprising move given that titles like Crysis 2 with its ham-handed use of tessellation on flat and invisible surfaces pointed out some otherwise less apparent competitive disadvantages in AMD's initial DX 11 hardware.
AMD is also showing off the use of DirectCompute effects in Alien: Isolation by highlighting The Creative Assembly's use of real-time radiosity, contact hardening shadows, high definition ambient occlusion+, and accelerated particle effects. According to AMD all of these advanced effects running really well on their hardware thanks to the heavy compute focus of the Graphics Core Next architecture.
Unfortunately, or fortunately depending on who you ask there are no AMD-specific feature present in Alien: Isolation like TrueAudio or Mantle. The absence of TrueAudio in particular seems like a bit of shame given how marvelous the game's sound design is. We asked AMD about TrueAudio and Mantle support in Alien: Isolation and learned that there are no plans for the game to adopt either of those technologies.
This seems like a bit of missed opportunity for AMD given how significant of an investment they've made in promoting and support the PC version of the game. None the less Alien: Isolation is a beautifully lit and game with stunningly good sound design and both AMD and The Creative Assembly have a lot to be proud of. On a less technical note it's honestly the scariest and most visceral game I've played in recent memory.
It's also currently bundled with AMD's graphics cards through the Never Settle: Space Edition so if you're planning on picking up another R9 290 now that the price drop to $299 is in full effect and wondering which games to pick out with your gold reward coupon then Alien: Isolation should be on the top of your list.S|A
Thomas Ryan
Author at SemiAccurate
Thomas Ryan is a freelance technology writer and photographer from Seattle, living in Austin. You can also find his work on SemiAccurate and PCWorld. He has a BA in Geography from the University of Washington with a minor in Urban Design and Planning and specializes in geospatial data science. If you have a hardware performance question or an interesting data set Thomas has you covered.
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Tags: Alien: Isolation, amd, DirectCompute, games, graphics, performance, Tesselation, The Creative Assembly, Too Scary plz nerf nao
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