WARNING! If you use these mushrooms casually or recreationally you could easily overdose. 90% of all deaths from mushroom poisoning are from this family.(According to the Audubon Field guide to North American Mushrooms) Never eat an Amanita that is not blood red! It is a myth that grey Panther Amanita's are edible, they kill. Even positively identified Panther mushrooms (grey, yellow) possess the levels of Ibotenic Acid which are lethal. The Ibotenic acid is lower and more stable in RED fly agaric Amanitas.
PREPARATION: Collect one specimen of Red Fly Agaric per person, or 10 grams each. Fly Agarics in my area, 100 ft above sea level in the coast mountains, are usually no larger than 10 inches wide across the cap (undried). This size of cap usually weighs about 10 grams (undried). Dry the mushroom in the sun or a food dehydrater preferably at a higher temperature. This converts the Ibotenic acid alkaloid to the much more stable alkaloid Muscimol. Ibotenic acid is somewhat toxic and is the poison in Panther Amanita's which kills. So brother's and sisters DRY YOUR FLY AGARICS!!!
EXPERIENCE: My friend (130 lbs) and myself (180 lbs) ate one ten gram specimen each. We have both tried every psilocybe available to us; Cubensis, Cyanescens, Liberty Caps, Potent, Conifer, and even Mexicana Heim Wasson. Nothing we have tried before prepared us for the Fly Agaric high. All psilocybe experiences were positive, we have both never had bad trips. We don't have psychological 'problems' or depressions. We also don't use man made illicit drugs, even most medicines (penicillin, aspirin, or pain relievers). We have no guilt about sacred mushroom use, and the above mentioned factors influence our drug experiences mental mindset.
Fly Agarics are intense, I mention our previous psilocybe experiences as reference for comparison. The Fly Agaric high usually comes on in one hour though metabolism rate delayed their action for up to three hours in my friend Puny (130 lbs). We felt euphoric, though clear minded enough to take our blood pressure which didn't change all night! My friend is a doctor, so it was taken correctly. This alarmed us because we had heard and read about raving and delirium. Puny fell asleep, which alarmed me greatly until I remembered that it is a symptom. I could not wake Puny, even by shaking him violently and yelling in his ear. After I calmed down I was amused at my panic and processed it with calmness not usually possible on psilocybe highs. This is a great mushroom for those of the H.E.A.D revolution, as it allows for very clear metaprogramming musing while on it.
My friend apparently had a dose too high for his body weight, and doesn't remember anything but a restful sleep. I stayed up all night nausea free except for my brief panic attack. When the birds started chirping to greet the sun I tried to sleep, but couln't. I was blissed out and my nervous system felt like it had taken a rough trip, but I was wide eyed and calm. I wouldn't call this last stage delirum or stupor, but rather like the glorious morning after a strong trip when you feel so happy and serene. If anyone has had a peyote trip and done a communal breakfast after and felt like they were at God's picnic or The Non-Local Quantum Circuit be in, you'll know what I mean. Grinning Empathy is this last stage.  Peace Eternal.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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ABOUT
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Pollutants Explained
Carbon monoxide (CO) is a colorless, odorless gas that is formed when carbon in fuel is not burned completely. Sources include motor vehicle exhaust, industrial processes such as metals processing and chemical manufacturing, residential wood burning, and natural sources such as forest fires.
Nitrogen oxides (NOx) is the generic term for a group of highly reactive gases, all of which contain nitrogen and oxygen in varying amounts. Many of the nitrogen oxides are colorless and odorless. However, one common pollutant, nitrogen dioxide (NO2) along with particles in the air can often be seen as a reddish-brown layer over many urban areas.
Ozone (O3) is a gas created by a chemical reaction between oxides of nitrogen (NOx) and volatile organic compounds (VOCs) in the presence of sunlight. Motor vehicle exhaust and industrial emissions, gasoline vapors, and chemical solvents as well as natural sources emit NOx and VOCs that help form ozone. Ground-level ozone is the primary constituent of smog.
Sulfur dioxide (SO2) belongs to the family of sulfur oxide gases (SOx). SOx gases are formed when fuel containing sulfur, such as coal and oil, is burned, and when gasoline is extracted from oil, or metals are extracted from ore. SO2 dissolves in water vapor to form acid, and interacts with other gases and particles in the air to form sulfates and other products that can be harmful to people and their environment.
Particulate Matter 10 (PM10) or "inhalable coarse particles," or “particle pollution” are smaller than 10 micrometers in diameter. Typically found near roadways and dusty industries. PM10 is made up of a number of components, including acids (such as nitrates and sulfates), organic chemicals, metals, and soil or dust particles. Once inhaled, these particles can affect the heart and lungs and cause serious health effects.
Particulate Matter 2.5 (PM2.5) or "fine particles," are 2.5 micrometers in diameter and smaller. Often found in smoke and haze, these particles can be directly emitted from sources such as forest fires, or they can form when gases emitted from power plants, industries and automobiles react in the air.
Mapping of current air quality data
Air quality forecasts for the South Coast Air Quality Management District are prepared for nearly 40 source/receptor areas, or forecast areas. These forecast areas are displayed on the current air quality map. Most of these areas have one or more air monitoring stations that measure air pollutants and meteorological data. The real-time measurement of five criteria pollutants factor into the current Air Quality Index (AQI) reading. This monitoring equipment is distributed among the permanent air monitoring stations, as follows:
- 30 stations measure ozone;
- 26 stations measure carbon monoxide (CO);
- 25 stations measure nitrogen dioxide (NO2);
- 11 stations measure real-time PM10;
- 9 stations measure real-time PM2.5.
The sites selected for the equipment are chosen based on how well the location represents local air quality, local emission sources and transport issues, the relative severity of the problem from the predominant pollutant in the area, and financial factors, such as the cost of equipment, maintenance and support staff. For areas where a particular criteria pollutant is not monitored, the closest station or a combination of surrounding stations are mapped to that area. These substitute stations are known as proxy stations. The use of proxies allows the closest available monitoring data to be applied to forecast areas that otherwise do not have monitoring equipment for a specific criteria pollutant.
Explanation of standards
|
Pollutants |
Description |
Averaging Period |
State Standard |
Federal Standard |
CO |
Carbon Monoxide |
1 Hr | 20 ppm |
35 ppm |
CO |
Carbon Monoxide |
8 Hr |
9 ppm | 9 ppm |
O3 | Ozone |
1 Hr | 0.09 ppm |
N/A |
O3 | Ozone |
8 Hr | 0.07 ppm | 0.075 ppm |
NO2 | Nitrogen Dioxide | 1 Hr |
0.18 ppm | N/A |
SO2 |
Sulphur Dioxide | 1 Hr | 0.25 ppm |
N/A |
SO2 | Sulphur Dioxide | 24 Hr | 0.04 ppm | 0.14 ppm |
PM10 | Particulate Matter 10 | 1 Hr | N/A | N/A |
PM10 | Particulate Matter 10 | 24 Hr | 50 µg/m3 | 150 µg/m3 |
PM2.5 | Fine Particulate Matter | 1 Hr | N/A | N/A |
PM2.5 | Fine Particulate Matter | 24 Hr | N/A | 35 µg/m3 |
Air Quality Index Explained
Introduction
The Air Quality Index (AQI) is an index for reporting daily air quality. It tells you how clean or polluted your air is, and what
associated health effects might be a concern for you.
The AQI focuses on health effects you may experience within a few hours or days after breathing polluted air.
Environmental Protection Agency (EPA) calculates the AQI for five major air pollutants regulated by the Clean Air Act:
1. Ground-level Ozone (O3)
2. Particle Pollution, also known as particulate matter (PM10 and PM2.5)
3. Carbon Monoxide (CO)
4. Sulfur Dioxide (SO2) and
5. Nitrogen Dioxide (NO2).
For each of these pollutants, EPA has established national air quality standards to protect public health.
Ground-level ozone and airborne particles are the two pollutants that pose the greatest threat to human health in this country.
Note: As an area with severe challenges to meeting federal Clean Air Act standards by their mandated deadlines, the state of California has established standards that are more stringent than federal standards for certain pollutants, including Ozone (O3) and Nitrogen Dioxide (NO2). Both state and federal standards are shown in the data tables that accompany the air quality map.
How does AQI work?
Think of the AQI as a yardstick that runs from 0 to 500. The higher the AQI value,
the greater the level of air pollution and the greater the health concern.
For example, an AQI value of 50 represents good air quality with little potential
to affect public health, while an AQI value over 300 represents hazardous air quality.
An AQI value of 100 generally corresponds to the national air quality standard for the
pollutant, which is the level EPA has set to protect public health.
AQI values below 100 are generally thought of as satisfactory. When AQI values reach above 100,
air quality is considered to be unhealthy for certain sensitive groups of people. The higher the AQI values
climb above 100, increasingly more people may become susceptible to the effects of the unhealthy air.”
Understanding the AQI range
The purpose of the AQI is to help you understand what local air quality means to your health. To make it easier to understand, the AQI is divided into six categories. Each category corresponds to a different level of health concern. There are six levels of health concern.
Good : The AQI value for your community is between 0 and 50. Air quality is considered satisfactory, and air pollution poses little or no risk.
Moderate: The AQI for your community is between 51 and 100. Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people. For example, people who are unusually sensitive to ozone may experience respiratory symptoms.
Unhealthy for Sensitive Groups: When AQI values are between 101 and 150, members of sensitive groups may experience health effects. This means they are likely to be affected at lower levels than the general public. For example, people with lung disease are at greater risk from exposure to ozone, while people with either lung disease or heart disease are at greater risk from exposure to particle pollution. The general public is not likely to be affected when the AQI is in this range.
Unhealthy: Everyone may begin to experience health effects when AQI values are between 151 and 200. Members of sensitive groups may experience more serious health effects.
Very Unhealthy: Values between 201 and 300 trigger a health alert, meaning everyone may experience serious health effects.
Hazardous: Values over 300 trigger health warnings of emergency conditions. The entire population is more likely to be affected.
Understanding the AQI color code
EPA has assigned a specific color to each AQI category to make it easier for people to understand quickly whether air pollution is reaching unhealthy levels in their communities.
Disclaimer
Air Quality Map Help
Data is shown on the map for the areas within the South Coast Air Quality Management District only-- all of Orange County, and major portions of Los Angeles, Riverside and San Bernardino counties in Southern California. For air quality information on areas outside of this district, but still in California visit the California Air Pollution Control Officer's Association Web site or the California Air Resources Board Web site. For areas outside of California, visit the U.S Environmental Protection Agency Web site.
Double-click on an area in the map to zoom in, or use your mouse scroll-wheel to zoom in or out on the map.
Enter a full address, partial address or place name in the text box next to the "Search" button (ESRI World Geocoder), and then click "Search" to go to that location.
When searching follow these rules:
A full address: To ensure the best possible match, include as much of the address as you can. Use commas to separate lines in the address.
A partial address: To ensure the best possible match, include as much of the address as possible. To search for an intersection, use & between the street names.
A place or neighborhood name: To ensure the best possible match, include as much of the name as you can.
Click on an area to see a popup that displays the area number and name, the AQI category and value, identifies the pollutant associated with the AQI value, the date and time of the reading, and provides a link to more detailed measurement data.
Best viewed with Internet Explorer 7 or greater.
When viewed with Internet Explorer (IE) versions earlier than version 7, the pop-up window with details about the current air quality for the selected SRA displays for only a short time. You can freeze the pop-up window to allow you to view the detailed information and to click on the link to the hourly data by moving your cursor continuously in the pop-up window.


An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Wenhao Tang, Sheng Huang*, Qiming Zhao, Ren Li, Luwen Huangfu..
IEEE Transactions on Intelligent Transportation Systems (TITS) 2021,录用 . (JCR-1区, CCF-B).
备注描述.
Weakly Supervised Patch Label Inference Network with Image Pyramid for Pavement Diseases Recognition in the Wild
Guixin Huang, Sheng Huang*, Luwen Huangfu, Dan Yang.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
备注描述.
DFDM: A Deep Feature Decoupling Module For Lung Nodule Segmentation
Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu, Luwen Huangfu.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Wenhao Tang, Sheng Huang*, Qiming Zhao, Ren Li, Luwen Huangfu..
IEEE Transactions on Intelligent Transportation Systems (TITS) 2021,录用 . (JCR-1区, CCF-B).
备注描述.
Weakly Supervised Patch Label Inference Network with Image Pyramid for Pavement Diseases Recognition in the Wild
Guixin Huang, Sheng Huang*, Luwen Huangfu, Dan Yang.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
备注描述.
DFDM: A Deep Feature Decoupling Module For Lung Nodule Segmentation
Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu, Luwen Huangfu.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Wenhao Tang, Sheng Huang*, Qiming Zhao, Ren Li, Luwen Huangfu..
IEEE Transactions on Intelligent Transportation Systems (TITS) 2021,录用 . (JCR-1区, CCF-B).
备注描述.
Weakly Supervised Patch Label Inference Network with Image Pyramid for Pavement Diseases Recognition in the Wild
Guixin Huang, Sheng Huang*, Luwen Huangfu, Dan Yang.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
备注描述.
DFDM: A Deep Feature Decoupling Module For Lung Nodule Segmentation
Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu, Luwen Huangfu.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Wenhao Tang, Sheng Huang*, Qiming Zhao, Ren Li, Luwen Huangfu..
IEEE Transactions on Intelligent Transportation Systems (TITS) 2021,录用 . (JCR-1区, CCF-B).
备注描述.
Weakly Supervised Patch Label Inference Network with Image Pyramid for Pavement Diseases Recognition in the Wild
Guixin Huang, Sheng Huang*, Luwen Huangfu, Dan Yang.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
备注描述.
DFDM: A Deep Feature Decoupling Module For Lung Nodule Segmentation
Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu, Luwen Huangfu.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Wenhao Tang, Sheng Huang*, Qiming Zhao, Ren Li, Luwen Huangfu..
IEEE Transactions on Intelligent Transportation Systems (TITS) 2021,录用 . (JCR-1区, CCF-B).
备注描述.
Weakly Supervised Patch Label Inference Network with Image Pyramid for Pavement Diseases Recognition in the Wild
Guixin Huang, Sheng Huang*, Luwen Huangfu, Dan Yang.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).
备注描述.
DFDM: A Deep Feature Decoupling Module For Lung Nodule Segmentation
Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu, Luwen Huangfu.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, Accepted, (CCF-B).


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< return to music page
Marathon
Let it go—close your eyes
All stories come to an end, and there’s nothing left to tell
Those who cannot get revenge can at least destroy themselves
And we’ll meet again in nothingness
For the world we want does not exist
It waits for us in nothingness
Wanting wings
It weighed us down
Till we could scarcely lift our eyes
But like vultures bury
The dead in the sky
Without such heavy hearts, we could fly
Do you remember when we were in love
Dying of desire
For an unreceivable
Future
The heart in my chest
Like a tortured animal
The nerves in my flesh
They were Roman candles
Now that’s done
And we must run, we must run a marathon
With no sense of what waits at the end
Across empty miles
We run
Under empty skies
We run and run
Over empty years
Snow melts, wood rots, stone wears away
But the ghosts of all we’ve never lived don’t ever seem to fade
Like a weeping, wailing army
Like a sweeping, surging tide
We could meet at the horizon
Where the earth and sky collide
We could
We could
So I’m still running On
Alone and fatigued And on
Where are the others And on
where do we meet? And on
And we’ll meet again
In nothingness
In nothingness


Display one DICOM Instance of a ZIP Archive with the CornerstoneArchiveImageLoader
Enter the sequence number of the DICOM instance:


This is a free html where beginners can learn how to code, develop websites, simple and more fun way.
The HTML Page is of HTML Content with para, images, headings coded with CSS. Contributors are allowed to add new block in creative way.
Make this part as interesting you can
Sayantan Here,
I love to contribute in Opensource.
Here is my profile Sayantan
I Love Frontnd Development also Interested learning
and growing lifelong. Happy contribution.
Om Here,
I love to contribute in Opensource and your repo is awsm.
Here is my profile Om Pandey
I'm a full stack developer and I love MERN stack


Instructions
- Click start button to begin game
- Roll the die to begin
- Hold the die when satisfied with the points
- You win when points are 100 and above
- You lose when you roll number 1
Player 1:
Die Roll:
Turn Total:
Total Score:
Player 2:
Die Roll:
Turn Total:
Total Score:


Jennifer De Walt as inspiration.
slow iteration as progress.
this list is unordered
unordered lists
ordered lists
inline css styling
background color change
text color change


| HOME | UX | OTHERS | ABOUT |
| HOME | UX | OTHERS | ABOUT |
Works about others
About
|
Growing up as I did in an artistic family, I absorbed many years of design thinking.
In the beginning, I cared most about aesthetics. Is it beautiful? Is it visually appealing?
Over time, I developed a more sophisticated and holistic way of interpreting and evaluating the design of things.
I like to take an object and mull over it. How might I change the design of things to make them more user-friendly,
efficient, graceful? I like to take complex things and break them down into their component parts and processes.
|
portfolio PDF download |
resume download |


Buchanan Bus Station | SPT
Buchanan bus station stances, facilities and accessibility. . 27B, First, Bishopbriggs/Lennoxtown/Torrance, 38 . 532, National Express, Edinburgh, 48 . Timetables Route maps, service numbers, and operator information for all bus services .
http://www.spt.co.uk/bus/bus-stations/buchanan-bus-station/
Treatment for Herniated or Bulging Discs
Edinburgh airport bus timetable - Edinburgh Message Board ...
Mar 21, 2011 . #38 of 141 hotels in Edinburgh, Scotland; Princes Street . Pollock Halls - Edinburgh First. 4.0 of 5 . Re: Edinburgh airport bus timetable .
http://www.tripadvisor.co.uk/ShowTopic-g186525-i108-k4337523-Edinburgh_airport_bus_timetable-Edinburgh_Scotland.html
Edinburgh Bus Station - City of Edinburgh Council
Find out about the bus station, train stations and bus stops in Edinburgh. Where they are . Transport - timetable information · Transport . Large (960mm/38") .
http://www.edinburgh.gov.uk/info/1393/transport-stations_stops_and_shelters/533/edinburgh_bus_station/2
first bus 38 time table edinburgh Herniated or Bulging Discs
Current Timetables | South East and Central Scotland | FirstGroup plc.
Results 51 - 60 of 142 . First is the world's leading transport operator, moving more than 2.5 billion . You can choose to view and print your timetable in standard or large print pdf format. . 38: Falkirk (Bus Station) - Edinburgh (City Centre) .
http://www.firstgroup.com/ukbus/scotland_east/journey_planning/timetables/?operator=25&page=6&redirect=no
Linlithgow travel guide - Wikitravel
Once in Edinburgh city centre, there are direct bus and train links to Linlithgow. . 38 which operates between Edinburgh-Linlithgow-Falkirk-Stirling does stop near . The service is fairly regular (timetable [3] - add/subtract about 5 minutes to/from . Trains to and from Linlithgow (LIN) station are operated by First Scotrail [4].
http://wikitravel.org/en/Linlithgow
Official Impairment Listing for Spinal Disorders
Trains York to Edinburgh Waverley | Train Timetables & Cheap Tickets
Find train times and buy cheap train tickets from York to Edinburgh Waverley with thetrainline.com - UK's No.1 . thetrainline.com - your first stop for train tickets .
http://www.thetrainline.com/train-times/york-to-edinburgh-waverley
- titanium 6al-4v sta tensile (narrowing of the spine)
South East and Central Scotland - Current Timetables | South East ...
Results 41 - 50 of 142 . First is the world's leading transport operator, moving more than 2.5 billion . You can choose to view and print your timetable in standard or large print pdf format. . 27: Edinburgh (Regent Road) - Bathgate (Morrisons) . 27B: Falkirk (Bus Station) - Banknock (Bog Road) ( Falkirk Council Tender ) .
http://www.firstgroup.com/ukbus/scotland_east/journey_planning/timetables/index.php?operator=25&page=5&redirect=noTrains Edinburgh Waverley to Newcastle | Train Timetables & Tickets
Find train times and buy cheap train tickets from Edinburgh Waverley to Newcastle with . 05:48 Edinburgh Waverley 07:26 Newcastle 1h 38m 0 peak .
http://www.thetrainline.com/train-times/edinburgh-waverley-to-newcastle
Welcome to First in South East and Central Scotland | FirstGroup plc.
Welcome to First in South East and Central Scotland. As Christmas . Student Bus Travel. Make a note! . Stay Safe on board with a First Safe Journey Card.
http://www.firstgroup.com/ukbus/scotland_east/
Bus contracts confirmed / East Lothian Courier / News / Roundup
Jun 7, 2012 . This bus also provide a link for the first time between Haddington and Drem rail station. "The circle nature of the . Edinburgh Coach lines have yet to upload there new timetables on there website. First do have . Jun 8, 21:38 .
http://www.eastlothiancourier.com/news/roundup/articles/2012/06/07/430197-bus-contracts-confirmed/
Medical-Vocational Allowance for Herniated Disc
FixMyTransport: Number 38 bus route
Sep 9, 2011 . Report a problem on this route to First in Scotland East . Keep to the timetable so that people can get to work on time - Seeking support . 38 bus between Falkirk, Bridgend, Stirling, Edinburgh, Linlithgow, and Larbert .
http://www.fixmytransport.com/routes/scotland/38-bus--2
From Stirling to Falkirk Bus Station - Current Timetables | South East ...
Results 1 - 10 of 22 . First is the world's leading transport operator, moving more than 2.5 billion passengers every year. . The timetable(s) below show direct routes that will allow you to . 38: Falkirk (Bus Station) - Edinburgh (City Centre) .
http://www.firstgroup.com/ukbus/scotland_east/journey_planning/timetables/index.php?going_to=Falkirk+(Forth+Valley+College)&depart_from=Stirling+(Bus+Station)&operator=25&page=1&redirect=no
Appealing a Denial of Benefits
30 30 30 30 30 - Lothian Buses
Please note that First tickets and passes are not valid on Lothian Buses. . from Granton Sq. to Infirmary from Infirmary to Granton Sq. 38. 0625 1922 . Lothian Buses serving the Royal Infirmary see individual Timetable Guides for . or write to Customer Services at Lothian Buses, 55 Annandale Street, Edinburgh EH7 4AZ .
http://lothianbuses.com/timetables/RIE_120624.pdf


How to play:
Click numbers and operators to do a calculation.
When you click 2 numbers and an operator, a new number in place of the used numbers.
Number --> Operator --> Number = New Number!
You need to do 3 calculations to reach the desired result: 24.
There are 192 diffirent cards (48 easy, 96 normal and 48 hard). Click one of the difficulty buttons above to randomly choose a card from that respective pool. Have fun!


Pipe bombs thrown at Border Police base near Jerusalem
Two pipe bombs thrown towards Border Police base in Abu Dis. No injuries or damages reported.
by Arutz Sheva North America StaffTwo pipe bombs were thrown towards a Border Police base in Abu Dis, a Palestinian Arab village near Jerusalem, on Friday evening.
There were no injuries or damages. Border Police officers searched the area and located findings which were forwarded to the security forces.
The Border Police said that "alongside the operational activity, an intelligence effort is being made to locate the culprits” and that “any attempt to attack the bases and harm the fighters will be answered with determination and decisiveness by the security forces."
(Arutz Sheva’s North American desk is keeping you updated until the start of Shabbat in New York. The time posted automatically on all Arutz Sheva articles, however, is Israeli time.)


ipconfig /all Network interfaces and information
route print Print current routing information
arp -A Recent cached arp requests
netstat -ano Active connections
netsh firewall show state Firewall status
netsh firewall show config Firewall information


Nationalist Congress Party in damage-control mode in Kerala
We have apprised Pinarayi of the situation: Thomas Chandy
by Special CorrespondentThe Nationalist Congress Party (NCP) unit in Kerala, a member of the Communist Party of India (Marxist)-led Left Democratic Front (LDF) government, on Friday was caught off guard by the decision of its leader Ajit Pawar to team up with the Bharatiya Janata Party (BJP) to form a coalition government in Maharashtra.
The NCP, which has A.K. Saseendran as Minister in the Pinarayi Vijayan government, scrambled to explain Mr. Ajit Pawar’s desertion of a nascent alliance of the Shiv Sena, the Congress and the NCP, to back the BJP.
Pinarayi’s response
Thomas Chandy, NCP legislator from Kuttanad, said Mr. Vijayan, who is on a tour to Japan with Mr. Saseendran, spoke with him on the phone.
Mr. Chandy had apprised him of the situation, adding that NCP supremo Sharad Pawar did not back the alliance.
Mr. Vijayan then replied that the defection of Mr. Ajit Pawar was of no consequence to his government.
NCP general secretary T.P. Peethambaran told journalists here that Mr. Ajit Pawar could have had his motives for siding with the BJP against the wishes of Mr. Pawar.
Kerala Pradesh Congress Committee president Mullappally Ramachandran challenged the CPI(M) to oust the NCP from the LDF. The LDF would lose its secular face if it nurtured a BJP ally in its midst.
LDF convener A. Vijayaraghavan said Mr. Ajit Pawar’s decision to join the Devendra Fadnavis government was unexpected.
The NCP in Kerala has disowned Mr. Ajit Pawar. The party has taken a value-based stance and reiterated its commitment to the LDF.


Brandon Huffman
Brandon Huffman comes from a mixed background. Growing up he spent countless hours playing computer games, but when going to college tried a variety of other interests before finally settling on a double major in Economics and Political Science. The usual route for such degrees is either Masters School for Economics or going to Law School. Too broke for Masters School and not wanting to become a blood sucking lawyer, Brandon opted to pursue a career in Accounting which is related to both Econ and Poli Sci. After getting an accounting certificate from CNM Brandon spent some time in that before deciding to pursue something just a little more interesting . So he dove head first into the Deep Dive program, returning back to his first love, computers.
 As such he likes to spend his free time conquering empires on Civilization, taming space monsters on Masters of Orion, and negotiating peace treaties with Klingons on Star Trek Online. An avid believer in the exponential potential of computers, Brandon is excited to be in a field that is on the cutting edge of technology and is driving us into the future.


IEEE-ISTO 6<IP_ADDRESS> Uptane Standard for Design and Implementation
uptane-standard-design
This document describes a framework for securing ground vehicle software update systems.
Uptane is a secure software update framework for ground vehicles. This document describes procedures to enable programmers for OEMs and suppliers to securely design and implement this framework in a manner that better protects connected units on ground vehicles. Integrating Uptane as outlined in the sections that follow can reduce the ability of attackers to compromise critical systems. It also assures a faster and easier recovery process should a compromise occur.
These instructions specify the components necessary for a compliant implementation. Individual implementors can make their own technological choices within those requirements. This flexibility makes Uptane adaptable to the many customized update solutions used by manufacturers. If implementors wish to have compatible formats, they may use POUFs. POUFs contain a description of implementation choices as well as data binding formats. An implementor who adopts a POUF, as well as the Uptane Standard, will be able to interoperate with other implementations using that POUF.
The keywords MUST, MUST NOT, REQUIRED, SHALL, SHALL NOT, SHOULD, SHOULD NOT, RECOMMENDED, MAY, and OPTIONAL in this document are to be interpreted as described in [RFC2119].
In order to be considered “Uptane-compliant,” an implementation MUST follow all of these rules as specified in the document.
Bundle: A set of images released by the repository that is meant to be installed by one or more target ECUs on a vehicle during the same update cycle.
Bus: An internal communications network that interconnects components within a vehicle. A vehicle can have a number of buses that will vary in terms of power, speed and resources.
ECU Identifier: An attribute used to identify a specific ECU (e.g., such as a unique serial number).
ECU Version Manifest: Metadata which details the software version currently installed on the ECU.
Hardware Identifier: An attribute used to identify a model of an ECU.
Image: File containing software for an ECU to install. May contain a binary image to flash, installation instructions, and other necessary information for the ECU to properly apply the update. Each ECU typically holds only one image, although this may vary in some cases.
Metadata: Information describing the characteristics of data including, for example, structural metadata describing data structures (e.g., data format, syntax, and semantics) and descriptive metadata describing data contents (e.g., information security labels). As used in Uptane, metadata can be described as information associated with a role or an image that contains the characteristics or parameters thereof (e.g. cryptographic material parameters, file names and versions.)
Primary/Secondary ECUs: Terms used to describe the control units within a ground vehicle. A primary ECU downloads and verifies update images and metadata for itself and for secondary ECUs, and distributes images and metadata to secondaries. Thus, it requires extra storage space and a means to download images and metadata. Secondary ECUs receive their update images and metadata from the primary, and only need to verify and install their own metadata and images.
POUF: A document that contains the protocol, operations, usage, and formats (POUF) of a specific Uptane implementation. The POUF contains decisions about SHOULDs and MAYs in an implementation, as well as descriptions of data binding formats. POUFs MAY be used to create compatible Uptane implementations.
Repository: A server containing metadata about images. May also contain the images themselves. Other data may be stored on the repository to be accessed by ECUs during the update process.
Suppliers: Independent companies to which auto manufacturers may outsource the production of ECUs. Tier-1 suppliers directly serve the manufacturers. Tier-2 suppliers are those that perform outsourced work for Tier-1 suppliers.
Vehicle Version Manifest: A compilation of all ECU version manifests on a vehicle. It serves as a master list of all images currently running on all ECUs in the vehicle.
These terms are defined in greater detail in Section 5.1.
Delegations: A process by which the responsibility of signing metadata about images is assigned to another party.
Role: A party (human or machine) responsible for signing a certain type of metadata. The role controls keys and is responsible for signing metadata entrusted to it with these keys. The roles mechanism of Uptane allows the system to distribute signing responsibilities so that the compromise of one key does not necessarily impact the security of the entire system.
CAN Bus: Controller Area Network bus standard
CDN: Content Delivery Network
ECUs: Electronic Control Units, the computing units on a vehicle
LIN Bus: Local Interconnect Bus
OBD: On-board diagnostics
SOTA: Software Updates Over-the-Air
UDS: Unified Diagnostic Services
VIN: Vehicle Identification Number
This Standards document clarifies the essential components and best practices for the secure design, implementation and deployment of Uptane by OEMs and suppliers. These practices contribute to compromise resilience, or the ability to minimize the extent of the threat posed by any given attack.
However, this specification is intended as an implementation guide, and not as a detailed technical argument about the security properties that Uptane provides. Readers interested in such documentation should refer to published papers that cover this topic. [UPTANEESCAR]
A standards document that can guide the safe design, integration and deployment of Uptane in vehicles is needed at this time because:
This document sets guidelines for implementing Uptane in most systems capable of updating software on connected units in ground vehicles, including passenger vehicles, light-duty trucks, heavy-duty trucks, and motorcycles. Uptane could potentially also be applied to other ground vehicles, such as automated shuttles, recreational vehicles, and military ground vehicles. Uptane could even be applied to domains such as IoT devices, medical devices, and unmanned aerial vehicles. In this section, we define the scope of that applicability by providing sample use cases and possible exceptions, aspects of software update security that are not applicable to Uptane, and the design requirements governing the preparation of these standards.
We assume the following system preconditions for Uptane:
It is important that any bugs detected in Uptane implementations be patched promptly. Failure to do so could interfere with the effectiveness of Uptane’s operations.
The following use cases provide a number of scenarios illustrating the manner in which software updates could be accomplished using Uptane.
An OEM plans to install Uptane on new vehicles. This entails the following components: code to perform full and partial verification, the latest copy of the relevant metadata, the public keys, and an accurate attestation of the latest time. The OEM then either requires its tier-1 suppliers to provide these materials to the suppliers’ assembly lines or can choose to add the materials later at the OEM’s assembly lines. The OEM’s implementation is Uptane-compliant if:
A tier-1 supplier completes work on a revised image for an electronic brake control module. This module will control the brakes on all models of an SUV produced by the OEM mentioned above. Assuming supplier delegation is supported by the OEM for this ECU, each tier-1 supplier digitally signs the image, then delivers the signature and all of its metadata, including delegations, and associated images to the OEM. The OEM adds these metadata and images to its image repository, along with information about any dependencies and conflicts between this image and those for other ECUs used in the OEM’s vehicles. The OEM also updates the inventory database, so that the director repository can instruct the ECU on how to install these updated images.
An OEM has issued a recall to address a problem with a keyless entry device that has been locking people out of their cars. The OEM prepares an updated flash image in the manner described above. The OEM then ships USB flash drives to vehicle owners and dealerships that allow those parties to update the firmware of their vehicles.
The OEM wants to use delta updates to save over-the-air bytes. The delta images contain only the code and/or data that has changed from the previous image version. To do so, the OEM must first modify the Director repository, using the vehicle version manifest and dependency resolution to determine the differences between the previous and latest images. The OEM then adds the following to the custom Targets metadata used by the Director repository: (1) the algorithm used to apply a delta image, and (2) the Targets metadata about the delta image. The OEM will also check whether the delta images match the Targets metadata from the Director repository.
There are a number of factors that could impede the completion of the above scenarios:
The following topics will not be addressed in this document, as they represent threats outside the scope of Uptane:
The design requirements for this document are governed by the following principal parameters:
The overarching goal of Uptane is to provide a system that is resilient in the face of various types of compromise. In this section, we describe the goals an attacker may have (Section 4.1) and the capabilities they may have or could develop (Section 4.2). We then describe and classify types of attacks on the system according to the attacker’s goals (Section 4.3).
We assume that attackers may want to achieve one or more of the following goals, in increasing order of severity:
Uptane is designed with resilience to compromise in mind. We assume that attackers may develop one or more of the following capabilities:
Uptane’s threat model includes the following types of attacks, organized according to the attacker goals listed in Section 4.1.
An attacker seeking to deny the installation of updates may attempt one or more of the following strategies, among others:
Attackers seeking to interfere with the functionality of vehicle ECUs in order to cause an operational failure or unexpected behavior may do so in one of the following ways:
Full control of a vehicle, or one or more ECUs within a vehicle, is the most severe threat.
Uptane is a secure software update framework for automobiles. We do not specify implementation details. Instead, we describe the components necessary for a compliant implementation and leave it up to individual implementors to make their own technological choices within those requirements.
 Each role has a particular type of metadata associated with it, as described in Section 5.2.
A repository’s Root role SHALL be responsible for a Certificate Authority as defined in [RFC3647]. A repository’s Root role SHALL produce and sign Root metadata as described in Section 5.2.2. A repository’s Root role SHALL sign the public keys used to verify the metadata produced by the Timestamp, Snapshot, and Targets roles. A repository’s Root role SHALL revoke keys for the other roles, in case of compromise.
A repository’s Targets role SHALL produce and sign metadata about images and delegations as described in Section 5.2.3.
The Targets role on the Image repository MAY delegate the responsibility of signing metadata to other, custom-defined roles referred to as delegated targets. If it does, it MUST do so as specified in Section <IP_ADDRESS>.
Responsibility for signing images or a subset of images MAY be delegated to more than one role and therefore it is possible for two different roles to be trusted for signing a particular image. For this reason, delegations MUST be prioritized.
A particular delegation for a subset of images MAY be designated as terminating. For terminating delegations, the client SHALL NOT search any further if it does not find validly signed metadata about those images. Delegations SHOULD NOT be terminating by default; terminating delegations SHOULD only be used when there is a compelling technical reason to do so.
A delegation for a subset of images MAY be a multi-role delegation [TAP-3]. A multi-role delegation indicates that multiple roles are needed to sign a particular image and each of the delegatee roles MUST sign the same metadata.
Delegations only apply to the Image repository. The Targets role on the Director repository MUST NOT delegate metadata signing responsibility.
A repository’s Snapshot role SHALL produce and sign metadata about all Targets metadata the repository releases, including the current version number of the top-level Targets metadata, and the version numbers of all delegated Targets metadata, as described in Section 5.2.4.
A repository’s Timestamp role SHALL produce and sign metadata indicating whether there are new metadata or images on the repository. It MUST do so by signing the metadata about the Snapshot metadata file.
Uptane’s security guarantees all rely on properly created metadata that follows a designated structure. The Uptane standard does not mandate any particular format or encoding for the metadata as a whole. ASN.1 (with any encoding scheme like BER, DER, XER, etc.), JSON, XML, or any other encoding format that is capable of providing the required structure MAY be used.
However, string comparison is required as part of metadata verification. To ensure an accurate basis for comparing strings, all strings MUST be encoded in the Unicode Format for Network Interchange as defined in [RFC5198], including normalization into Unicode Normalization Form C ([NFC]).
In the Deployment Considerations document, the Uptane Alliance provides some examples of compliant metadata structures in ASN.1 and JSON.
Every public key MUST be represented using a public key identifier. A public key identifier is EITHER all of the following:
OR a secure hash over at least the above components (such as the keyid mechanism in TUF).
All four Uptane roles (Root, Targets, Snapshot, and Timestamp) share a common structure. They SHALL contain the following two attributes:
The payload differs depending on the role. However, the payload for all roles shares a common structure. It SHALL contain the following four attributes:
The following sections describe the role-specific metadata. All roles SHALL follow the common structures described here.
A repository’s Root metadata distributes the public keys of the top-level Root, Targets, Snapshot, and Timestamp roles, as well as revocations of those keys. It SHALL contain two attributes:
Additionally, it MAY contain a mapping of roles to a list of valid URLs from which the role metadata can be downloaded. If this mapping of URLs is used, the implementer SHOULD implement this functionality following [TAP-5] to avoid adding unforeseen security risks.
The Targets metadata on a repository contains all of the information about images to be installed on ECUs. This includes filenames, hashes, file sizes, and MAY also include other useful information about images, such as what types of hardware are compatible with a particular image.
Targets metadata can also contain metadata about delegations, allowing one Targets role to delegate its authority to another. This means that an individual Targets metadata file might contain only metadata about delegations, only metadata about images, or some combination of the two. The details of how ECUs traverse the delegation tree to find valid metadata about images is specified in Section <IP_ADDRESS>.
To be available to install on clients, all images on the repository MUST have their metadata listed in a Targets role. Each Targets role MAY provide a list of some images on the repository. This list MUST provide, at a minimum, the following information about each image:
In addition to the required metadata, Targets metadata files MAY contain extra metadata for images on the repository. This metadata can be customized for a particular use case. Examples of use cases for different types of custom metadata can be found in the Deployment Considerations document. However, there are a few important pieces of custom metadata that SHOULD be present in most implementations. In addition, there is one element in the custom metadata that MUST be present in the Targets metadata from the Director.
Custom metadata MAY also contain a demarcated field or section that MUST match whenever two pieces of metadata are checked against each other, such as when Targets metadata from the Director repository is checked against Targets metadata from the Image repository.
The information listed below SHOULD be provided for each image on both the Image repository and the Director repository. If a “MUST match section” is to be implemented, that is where this information SHOULD be placed.
The following information is CONDITIONALLY REQUIRED for each image on the Director repository IF that image is encrypted:
The following information MUST be provided for each image in the Targets metadata from the Director repository:
The Director repository MAY provide a download URL for the image file. This may be useful, for example, when the image is on a public CDN and the director wishes to provide a signed URL.
A Targets metadata file on the Image repository (but not the Director repository) MAY delegate signing authority to other entities. For example, it could delegate signing authority for a particular ECU’s firmware to that ECU’s supplier. A metadata file MAY contain more than one delegation and MUST keep the delegations in prioritized order.
A list of delegations MUST provide the following information:
Note that any Targets metadata file stored on the Image repository may contain delegations, and these delegations can be in chains of arbitrary length.
The Snapshot metadata lists version numbers and filenames of all Targets metadata files. It protects against mix-and-match attacks if a delegated supplier key is compromised.
For each Targets metadata file on the repository, the Snapshot metadata SHALL contain the following information:
The Snapshot metadata MAY also list the Root metadata filename and version number. This is not required, particularly for implementations of [TAP-5], but MAY be included in all cases for backward compatibility.
The Timestamp metadata SHALL contain the following information:
As described in the introduction to Section 5, Uptane requires a Director repository and an Image repository. However, it is possible to have an Uptane-compliant implementation that has more than two repositories.
Repository mapping metadata informs a Primary ECU about which repositories to trust for images or image paths. [TAP-4] describes how to make use of more complex repository mapping metadata in order to have more than the two required repositories.
Repository mapping metadata, or the equivalent informational content, MUST be present on all Primary ECUs, and MUST contain the following information:
For example, in the most basic Uptane case, the repository mapping metadata would contain:
Note that the metadata need not be in the form of a metadata file. For example, in the basic case where there is only one Director and one Image repository, and all images need to have signed metadata from both repositories, it would be sufficient to have a configuration file with URLs for the two repositories, and a client that always checks for metadata matches between them. In this case, no explicit mapping would be defined, because the mapping is defined as part of the Uptane client implementation.
The Deployment Considerations document ([DEPLOY]) gives more guidance on how to implement repository mapping metadata for more complex use cases. It also discusses strategies for updating repository mapping metadata, if required.
There is a difference between the file name in a metadata file or an ECU, and the file name on a repository. This difference exists in order to avoid race conditions, where metadata and images are read from, and written to, at the same time. For more details, the reader should read the TUF specification [TUF-spec] and PEP 458 [PEP-458].
Unless stated otherwise, all files SHALL be written to repositories in accordance with the following two rules:
For example:
An Uptane implementation SHALL make the following services available to vehicles:
Additionally, an Uptane implementation requires ECUs to have a secure way to know the current time.
The Image repository exists to allow an OEM and/or its suppliers to upload images and their associated metadata. It makes these images and their metadata available to vehicles. The Image repository is designed to be primarily controlled by human actors, and updated relatively infrequently.
The Image repository SHALL expose an interface permitting the download of metadata and images. This interface SHOULD be public.
The Image repository SHALL require authorization for writing metadata and images.
The Image repository SHALL provide a method for authorized users to upload images and their associated metadata. It SHALL check that a user writing metadata and images is authorized to do so for that specific image by checking the chain of delegations as described in Section <IP_ADDRESS>.
The Image repository SHALL implement storage which permits authorized users to write an image file using a unique filename, and later read the same file using the same name. It MAY use any filesystem, key-value store, or database that fulfills this requirement.
The Image repository MAY require authentication for read access.
The Director repository instructs ECUs as to which images should be installed by producing signed metadata on demand. Unlike the Image repository, it is mostly controlled by automated, online processes. It also consults a private inventory database containing information on vehicles, ECUs, and software revisions.
The Director repository SHALL expose an interface for primaries to upload vehicle version manifests (Section <IP_ADDRESS>.1) and download metadata. This interface SHOULD be public. The Director MAY encrypt images for ECUs that require them, either by encrypting on-the-fly or by storing encrypted images in the repository.
The Director repository SHALL implement storage which permits an automated service to write generated metadata files. It MAY use any filesystem, key-value store, or database that fulfills this requirement.
A Director repository MUST conform to the following six-step process for directing the installation of software images on a vehicle.
The Director SHALL use a private inventory database to store information about ECUs and vehicles. An implementor MAY use any durable database for this purpose.
The inventory database MUST record the following pieces of information:
The inventory database MAY record other information about ECUs and vehicles. It SHOULD record a hardware identifier for each ECU to protect against the possibility of directing the ECU to install incompatible firmware.
An Uptane-compliant ECU SHALL be able to download and verify Image metadata and image binaries before installing a new image and MUST have a secure way of verifying the current time, or a sufficiently recent attestation of the time.
Each ECU in a vehicle receiving over-the-air updates is either a Primary or a Secondary ECU. A Primary ECU collects and delivers vehicle manifests to the Director (Section <IP_ADDRESS>.1) that contain information about which images have been installed on ECUs in the vehicle. It also verifies the time and downloads and verifies the latest metadata and images for itself and for its secondaries. A Secondary ECU verifies the time, and downloads and verifies the latest metadata and images for itself from its associated Primary ECU. It also sends signed information about its installed images to its associated Primary.
All ECUs MUST verify image metadata as specified in Section 5.4.4 before installing an image or making it available to other ECUs.  A Secondary ECU SHOULD perform full verification if possible. If a Secondary cannot perform full verification, it SHALL perform partial verification. See Uptane Deployment Considerations for a discussion of how to choose between partial and full verification.
ECUs MUST have a secure source of time. An OEM/Uptane implementor MAY use any external source of time that is demonstrably secure. The Uptane deployment considerations ([DEPLOY]) describe one way to implement an external time server to cryptographically attest time, as well as the security properties required. When “loading time” is referenced in procedures in this standard, it should be understood to mean loading into memory the current time (if the ECU has its own secure clock), or the most recent attested time.
For an ECU to be capable of receiving Uptane-secured updates, it MUST have the following data provisioned at the time it is manufactured or installed in the vehicle:
A Primary downloads, verifies, and distributes the latest time, metadata and images. To do so, it SHALL perform the following seven steps:
Note that the subsequent sections concerning requirements for a Primary do not prohibit implementing Primary capabilities on an ECU that does not communicate directly with the Uptane repositories. This allows for implementations to have multiple ECUs within the vehicle performing functions equivalent to a Primary. If multiple such Primaries are included within a vehicle, each Secondary ECU SHALL have a single Primary responsible for providing its updates.
The Primary SHALL build a vehicle version manifest as described in Section <IP_ADDRESS>.1.
Once the complete manifest is built, the Primary MAY send the manifest to the Director repository. However, it is not strictly required that the Primary send the manifest until step three. If permitted by the implementation, a Primary MAY send only a diff of the manifest to save bandwidth. If an implementation permits diffs, the Director SHOULD have a way to request a full manifest.
Secondaries MAY send their version report at any time so that it is already stored on the Primary when it wishes to check for updates. Alternatively, the Primary MAY request a version report from each Secondary at the time of the update check.
The vehicle version manifest is a metadata structure that MUST contain the following information:
Note that one of the ECU version reports should be the version report for the Primary itself.
An ECU version report is a metadata structure that MUST contain the following information:
The Primary SHALL load the current time from a secure source.
The Primary SHALL download metadata for all targets and perform a full verification on it as specified in Section <IP_ADDRESS>.
The Primary SHALL download and verify images for itself and for all of its associated Secondaries. Images SHALL be verified by checking that the hash of the image file matches the hash specified in the Director’s Targets metadata for that image.
There may be several different filenames that all refer to the same image binary, as described in Section 5.2.7. If the primary has received multiple hashes for a given image binary via targets role (see Section <IP_ADDRESS>) then it SHALL verify every hash for this image despite the fact that just one hash is enough to obtain the image itself.
Unless the Secondary ECU has its own way of verifying the time or does not have the capacity to verify a time message, the Primary is CONDITIONALLY REQUIRED to send the time to each ECU. The Secondary will verify the time message, then overwrite its current time with the received time.
The Primary SHALL send its latest downloaded metadata to all of its associated Secondaries. The metadata it sends to each Secondary MUST include all of the metadata required for verification on that Secondary. For full verification Secondaries, this includes the metadata for all four roles from both repositories, plus any delegated Targets metadata files the Secondary will recurse through to find the proper delegation. For partial verification Secondaries, this includes only the Targets metadata file from the Director repository.
The Primary SHOULD determine the minimal set of metadata files to send to each Secondary by performing delegation resolution as described in Section <IP_ADDRESS>.
Each Secondary SHALL store the latest copy of all metadata required for its own verification.
The Primary SHALL send the latest image to each of its associated Secondaries that have storage to receive it.
For Secondaries without storage, the Primary SHOULD wait for a request from the Secondary to stream the new image file to it. The Secondary will send the request once it has verified the metadata sent in the previous step.
An ECU SHALL perform the following steps when attempting to install a new image:
The ECU SHALL load and verify the current time, or the most recent securely attested time.
The ECU SHALL verify the latest downloaded metadata (Section 5.4.4) using either full or partial verification. If the metadata verification fails for any reason, the ECU SHALL jump to the fifth step (Section <IP_ADDRESS>).
If the ECU does not have secondary storage, i.e. buffer storage to temporarily store the latest image before installing it, it SHALL download the latest image from the Primary. (If the ECU has secondary storage, it will already have the latest image in its secondary storage as specified in Section <IP_ADDRESS>, and should skip to the next step.) The ECU MAY first create a backup of its previous working image and store it elsewhere (e.g., the primary).
The filename used to identify the latest known image (i.e., the file to request from the Primary) SHALL be determined as follows:
When the Primary responds to the download request, the ECU SHALL overwrite its current image with the downloaded image from the Primary.
If any part of this step fails, the ECU SHALL jump to the fifth step (Section <IP_ADDRESS>).
The ECU SHALL verify that the latest image matches the latest metadata as follows:
If the ECU has secondary storage, the checks SHOULD be performed on the image in secondary storage before it is installed.
NOTE: See [DEPLOY] for guidance on how to deal with Secondary ECU failures for ECUs that do not have secondary storage.
If any step fails, the ECU SHALL jump to the (Section <IP_ADDRESS>) step.
The ECU SHALL attempt to install the update. This installation SHOULD occur at a time when all pre-conditions are met. These pre-conditions MAY include ensuring the vehicle is in a safe environment for install (e.g., the vehicle is parked when updating a specific ECU). Another pre-condition MAY include ensuring the ECU has a backup of its current image and metadata in case the current installation fails.
The ECU SHALL create a version report as described in Section <IP_ADDRESS>.2, and send it to the Primary (or simply save it to disk, if the ECU is a Primary). The Primary SHOULD write the version reports it receives to disk and associate them with the Secondaries that sent them.
  If a Secondary cannot perform full verification, it SHALL perform partial verification instead.
If a step in the following workflows does not succeed (e.g., the update is aborted because a new metadata file was not signed), an ECU SHOULD still be able to update again in the future. Errors raised during the update process SHOULD NOT leave ECUs in an unrecoverable state.
In order to perform partial verification, an ECU SHALL perform the following steps:
Full verification of metadata means that the ECU checks that the Targets metadata about images from the Director repository matches the Targets metadata about the same images from the Image repository. This provides resilience to a key compromise in the system.
Full verification MAY be performed by either Primary or Secondary ECUs. In the following instructions, whenever an ECU is directed to download metadata, it applies only to Primary ECUs.
If [TAP-5] is supported and a Primary has an external connection to the Uptane repositories, a Primary ECU SHALL download metadata and images following the rules specified in that TAP. If [TAP-5] is not supported, or if the Primary does not have an external connection to the Uptane repositories, the download SHOULD follow the [TUF-spec] and the metadata file renaming rules specified in Section 5.2.7.
Before starting full verification, the repository mapping metadata MUST be consulted to determine where to download metadata from. This procedure assumes the basic Uptane case: there are only two repositories (Director and Image), and all image paths are required to be signed by both repositories. If a more complex repository layout is being used, refer to [DEPLOY] for guidance on how to determine where metadata should be downloaded from.
In order to perform full verification, an ECU SHALL perform the following steps:
If any step fails, the ECU MUST return an error code indicating the failure. If a check for a specific type of security attack fails (e.g. rollback, freeze, arbitrary software, etc.), the ECU SHOULD return an error code that indicates the type of attack.
If the ECU performing the verification is the Primary ECU, it SHOULD also ensure that the Targets metadata from the Director repository doesn’t contain any ECU identifiers for ECUs not actually present in the vehicle.
To properly check Root metadata, an ECU SHOULD:
To properly check Timestamp metadata, an ECU SHOULD:
To properly check Snapshot metadata, an ECU SHOULD:
To properly check Targets metadata, an ECU SHOULD:
To properly check Targets metadata for an image, an ECU MUST locate the metadata file(s) for the role (or roles) that have the authority to sign the image. This metadata might be located in the top-level Targets metadata, but it also may be delegated to another role or to multiple roles. Therefore, all delegations MUST be resolved using the following recursive procedure, beginning with the top-level Targets metadata file.
It is possible to delegate signing authority to multiple delegated roles as described in [TAP-3]. Each multi-role delegation effectively contains a list of ordinary delegations, plus a threshold of those roles that must be in agreement about the non-custom metadata for the image. All multi-role delegations MUST be resolved using the following procedure. Note that there may be sub-delegations inside multi-role delegations.
| [CR-OTA] | Barry, K., "Automakers Embrace Over-the-Air Updates, but Can We Trust Digital Car Repair?", April 2018. |
| [DEPLOY] | Members of the Uptane Alliance Community, ., "Uptane Deployment Guidelines", n.d.. |
| [IN-TOTO] | "in-toto: A framework to secure the integrity of software supply chains", October 2018. |
| [MERCURY] | Kuppusamy, T., Diaz, V. and J. Cappos, "Mercury: Bandwidth-Effective Prevention of Rollback Attacks Against Community Repositories", ISBN 978-1-931971-38-6, July 2017. |
| [PEP-458] | Kuppusamy, T., Diaz, V., Stufft, D. and J. Cappos, "PEP 458 -- Surviving a Compromise of PyPI", September 2013. |
| [UPTANEESCAR] | Kuppusamy, T., Brown, A., Awwad, S., McCoy, D., Bielawski, R., Mott, C., Lauzon, S., Weimerskirch, A. and J. Cappos, "Securing Software Updates for Automobiles", October 2016. |
| [USATODAY] | O'Donnell, B., "Your average car is a lot more code-driven than you think", June 2016. |


What is BuildUCLA?
BuildUCLA is a software development incubator based in the UCLA Library. It brings together tech-savvy students from across campus and team leaders from the library to build projects that will benefit library users and the entire UCLA community.
Projects
Projects we want to do this year & the skills needed – on-the-job learning is encouraged:
- Where to study: extending the dining halls’ wifi-based “how crowded is it now?” service to the campus libraries
- Consolidated Android/iOS library smartphone apps
- Community Cataloging (CCing): combining crowdsourcing tech + optical character recognition + auto-translation to help the library catalog foreign-language books
- Working with UCLA digital library collections of historical photographs, news videos, maps, sound recordings and texts:
- Building creative exploratory visualizations
- Generating data mashups with external sources
- Training machine-learning models for enhanced search and discovery
Past projects:
- Android and iOS mobile apps for the library
- Stashd (a citation/link storage service)
- eLab-X – integrated Google Drive/Dropbox/Box storage for research data, electronic lab notebooks
Contact info:
- Email<EMAIL_ADDRESS>for more information
Library supervisors:
- Peter Broadwell, Academic Projects Developer, UCLA Digital Library
- Dawn Childress, Librarian, Digital Collections & Scholarship, UCLA Digital Library
- Casey Grzecka, Software Developer, UCLA Library Information Technology


Across: 1. I barter scant dresses with air-head (12) 8,21. Is this where 1 across is when finished article may be put down? (3 4 3 5) 9. React badly about graduate's performance (7) 11. Trust ICU if set up to be very modern (10) 12. Yield to soldier on May 8th, 1945 (4) 14. Scary lenders I would not cross! (3 5) 16. Quiet flowing inlets (6) 17. Inform about art (3) 19. Moving writer? (6) 21. see 8 24. One has a turn at being the villain (4) 25. Tips on winding guitar strings (10) 27. Anything old in New York may be bad! (7) 28. Could this be Steeleye Span – or their hit record? (7) 29. Doctor may trim scale – it's off-centre (12) Down: 1. Acknowledged seasoned union leader coming in (7) 2. Promoted Ted's varied new layout (10) 3. Ruth needs rest, travelling by jet (8) 4. Turn away from lice or snakes! (6) 5. Town-lovin' girl was right to buy dress (4) 6. Cornishwoman may start off bad headache (7) 7. Is lamb without a tail a result of this? (12) 10. Team for the Sexual Olympics is over there (3 5 4) 13. Easy to find chip under card table Penny brought in (10) 15. Took several amazingly tasty starters (3) 18. This particular singer should perform at the top! (8) 20. Children's favourite pug is torn and eaten by fish! (7) 22. Female sailor gets soldier to return on lakeside road (7) 23. Wild orgy on Tyneside sea-wall! (6) 26. Pretend to be quiet before lunch (4)


When enabled, only the one, oldest changelist returned by polling is built.
If P4_INCREMENTAL environment variable (or build parameter) is set to "false", polling per change is ignored and all changelists are built.
P4_INCREMENTAL


includeIfExists
includeIfExists($file)
Hello World command for demo purposes.
This is the class that loads and manages your bundle configuration
This is the class that validates and merges configuration from your app/config files


parcel-js is a dependencies management system for JS, CSS and AJAX resources. Although it is an independent JS library, it can also be used as a jQuery plugin.
Basically is a DSL that allows you to declare dependencies between artifacts and lazy load them whenever your system need them.
Parcel-js solves the dynamic lazy loading problem. In some application scenarios, like a webtop or a Single Page Interface application, you should not load all of the libraries and artifacts you application needs. The point is that some libraries only are needed when the user want to do some action in your system for the first time. For example, in a webtop, when a user launch an application then the system needs to download the code for it but not before. In fact not all the users will see the same applications in its menu in a webtop enviroment. Downloading all the code for all applications available for all users in a webtop is simply overkill.
Other module bundlers:


12. What Now?
Reading this tutorial has probably reinforced your interest in using Python — you should be eager to apply Python to solving your real-world problems. Where should you go to learn more?
Reading this tutorial has probably reinforced your interest in using Python — you should be eager to apply Python to solving your real-world problems. Where should you go to learn more?


String "short"
, "moderate"
, "long"
, or
"eternal"
; nonconfigurable; default is derived
from the test's size
attribute
How long the test is expected to run before returning.
While a test's size attribute controls resource estimation, a test's
timeout may be set independently. If not explicitly specified, the
timeout is based on the test's size. The test
timeout can be overridden with the --test_timeout
flag, e.g. for
running under certain conditions which are known to be slow. Test timeout values
correspond to the following time periods:
| Timeout Value | Time Period |
|---|---|
| short | 1 minute |
| moderate | 5 minutes |
| long | 15 minutes |
| eternal | 60 minutes |
For times other than the above, the test timeout can be overridden with the
--test_timeout
bazel flag, e.g. for manually running under
conditions which are known to be slow. The --test_timeout
values
are in seconds. For example --test_timeout=120
will set the test
timeout to two minutes.
The environment variable
TEST_TIMEOUT
will be set to the test timeout (in seconds) when spawning the test.


Do you want to claim for the same journey as your last claim?
| Expense | Amount | |
|---|---|---|
| Train Journey
Birmingham New Street to Redditch - Return |
£14 | |
| Child train Journey
Birmingham New Street to Redditch - Return |
£7 |
Children
Joe Blo***


Two brothers follow their father's footsteps as hunters, fighting evil supernatural beings of many kinds, including monsters, demons and gods that roam the earth. ...
| Release Year: | 2005 |
| Time : | 42min |
| Director: | Philip Sgriccia |
| Saisons: | 15 |
| Stars: | Jensen Ackles Jared Padalecki Misha Collins Jim Beaver Alexander Calvert |
Sheriff Deputy Rick Grimes wakes up from a coma to learn the world is in ruins and must lead a group of survivors to stay alive.
| Release Year: | 2010 |
| Time : | 44 min |
| Director: | Michael Chaves |
| Saisons: | 10 |
| Stars: | Andrew Lincoln Norman Reedus Melissa McBride Danai Gurira |
Prisoners of their adolescent bodies, Stefan and Damon, two vampire brothers, are fighting to conquer the heart of beautiful Elena, 17, a high school student at Mystic Falls High..
| Release Year: | 2009 |
| Time : | 44 min |
| Director: | Chris Grismer |
| Saisons: | 8 |
| Stars: | Ian Somerhalder Nina Dobrev Paul Wesley Joseph Morgan Katerina Graham |
In Portland, a detective must protect all living souls from the sinister characters of the tales of the Grimm brothers who have infiltrated the real world..
| Release Year: | 2011 |
| Time : | 42 min |
| Director: | Andrés Muschietti |
| Saisons: | 6 |
| Stars: | David Giuntoli Bitsie Tulloch Claire Coffee Sasha Roiz Silas Weir Mitchell |
Exploring the infinite evil capacity of the human being, this tortured drama series draws on the power of supernatural fears and day-to-day horror.
| Release Year: | 2011 |
| Time : | 35-73min |
| Director: | Christopher Landon |
| Saisons: | 9 |
| Stars: | Evan Peters Sarah Paulson Jessica Lange Emma Roberts Cody Fern |


K-pop star Goo Hara found dead at her home
SEOUL, Nov 24 — K-pop star Goo Hara was found dead at her home today, South Korean police confirmed.
Goo, a former member of girl group Kara, was discovered at her home in Seoul early Sunday evening, officers said.
The exact cause of death was still under investigation, they added.
South Korea has one of the world’s highest rates of suicide which, according to recent government figures, is among the top causes of death for those under 40.
The 28-year-old’s death comes a month after Sulli—another K-pop star and Goo’s close friend—took her own life after a long struggle with online bullying.
The singer had posted a tearful message on her Instagram shortly after Sulli’s death, grieving the passing of her friend.
In messages posted on social media, fans mourned Goo’s death, with one writing: “I hope you have a good sleep in heaven without any worries.”
After performing in Kara from 2008 to 2015, she focused on her solo career after the group broke up and had just completed a tour of Japan with her latest release.
Those needing someone to talk to may contact Befrienders at the following numbers 03-7956 8145 (KL), 04-281 5161/1108 (Penang) and 05-547 7933/7955 (Ipoh) or instead email<EMAIL_ADDRESS>— AFP


Introduction
Section 54. Strip the Kernel
Section 55. FreeBSD Access Control Lists
Section 56. Protect Files with Flags
Section 57. Tighten Security with Mandatory Access Control
Section 58. Use mtree as a Built-in Tripwire
Section 59. Intrusion Detection with Snort, ACID, MySQL, and FreeBSD
Section 60. Encrypt Your Hard Disk
Section 61. Sudo Gotchas
Section 62. sudoscript
Section 63. Restrict an SSH server
Section 64. Script IP Filter Rulesets
Section 65. Secure a Wireless Network Using PF
Section 66. Automatically Generate Firewall Rules
Section 67. Automate Security Patches
Section 68. Scan a Network of Windows Computers for Viruses


The ZptSharp command-line renderer
In the NuGet package ZptSharp.Cli is an executable tool for rendering ZPT document template source files using a model from a JSON file. The tool may render a single template source file or batches of files within a specified directory structure.
Compatibility and file path
The ZptSharp commmand line renderer package requires either a minimum of .NET Framework 4.6.1 or a minimum of .NET Core 3.1 to be installed. .NET 5 is backwards-compatible with .NET Core 3.1 and so this is also OK.
Within the NuGet package, use the tool from the appropriate path listed in this table.
| Path | Framework |
|---|---|
tools\net461\ZptSharp.Cli.exe |
.NET Framework |
tools\netcoreapp3.1\ZptSharp.Cli.exe |
.NET Core (or .NET 5+) |
Usage
The basic syntax for the application is:
ZptSharp.Cli.exe [options] [input path]
The input path should indicate the path to either a document template file or to a directory containing document template files.
In the case of a directory, that directory is searched for files.
This search is not recursive by default, so files in subdirectories will not be used.
This directory searching may be influenced by the --include
& --exclude
options described below.
The file or files indicated by the input path are the document template source files which will be rendered by the application.
Input files must have a compatible file extension. This is required so that the application can determine whether to treat them as HTML files or as XML files. The permitted extensions are shown in the following table.
| Extension | Type |
|---|---|
.pt |
HTML |
.htm |
HTML |
.html |
HTML |
.xml |
XML |
.xhtml |
XML |
Options
All of the fillowing options have both a long version which uses the double-hyphen-dash prefix (such as --include
) and a short version which uses a single-hyphen-dash prefix (such as -i
).
The long and short versions are equivalent and may be used interchangeably.
--include
, -i
This option accepts a comma-separated list of file glob patterns which indicates the patterns for document template files. This option is meaningless and ignored if the input path is a single file.
If the input path is a directory and this option is present then only files within the directory which match one of the include patterns will be processed.
Recursive directory searching may be enabled by using a pattern such as **\*.*
.
If this option is not present then the application will treat it as if it had been *.*
.
It is advised to quote the value to this parameter. Some shells, such as Bash (common on GNU/Linux), will interpret glob patterns before passing them to the application. This could mean that the application does not receive the options which were intended. Surrounding the option value in quote symbols will protect it from this process.
--exclude
, -x
This option accepts a comma-separated list of file glob patterns which indicates file patterns to exclude/ignore from processing. This option is meaningless and ignored if the input path is a single file.
If this is present then files matching any of the specified patterns will not be processed.
If this option is not present then no files will be excluded (provided they match an --include
pattern, if specified).
If both --include
and --exclude
options are specified then source file must match both rules in order to be processed.
It is advised to quote the value to this parameter. Some shells, such as Bash (common on GNU/Linux), will interpret glob patterns before passing them to the application. This could mean that the application does not receive the options which were intended. Surrounding the option value in quote symbols will protect it from this process.
--model
, -m
This option provides the file path to a file containing a JSON model to use in the rendering process.
If not present then the here
root context for the rendering operation will be null.
--keywords
, -k
This option provides a list of key/value pairs which will be made available to the rendering process via the options
root context.
These are the 'keyword options' which may be used to pass additional data directly from the command-line, aside from the model.
The format for the option values is [key]=[value]
, with multiple key/value pairs separated by commas.
--extension
, -e
This option selects the file extension which will be given to the output files. By default, the output files will be given the exact same filename as their corresponding input file. To use a different extension, use this option.
--output
, -o
This option chooses an output path for the rendered files. By default, the application outputs to the current working directory.
Beware when the source files are in the current working directory, the default behaviour of the app will cause the output to overwrite the input, possibly damaging your source files.
Use either this option or --extension
to specify either a different path for the output or at least a different file extension.
When rendered files are written to the output directory, they will have the maintain the same relative directory structure as they were found relative to the input path.
This is particularly relevant if the --include
option has been used to enable recursive directory scanning.
--anglesharp
, -s
By default, when processing HTML source templates, the HTML Agility Pack document provider is used. The tool package also includes support for using the AngleSharp document provider instead. The presence of this option switches the application to use AngleSharp instead of HTML Agility Pack.
This option has no value, if present then it is enabled.
--annotate
, -a
If present, then this option enables source annotation within the rendered output. Source annotation is a diagnostic and debugging aid for developers to understand how a rendered file was put together. Source annotation is disabled by default but may be enabled by this option.
This option has no value, if present then it is enabled.
Examples
Render a single file with a model
This would render a single file named template.pt
in the current directory using a model file named model.json
.
The rendering output will be saved as template.html
in the current directory.
ZptSharp.Cli.exe -e html -m model.json template.pt
Render all files in a directory recursively
This would recursively search the directory c:\my_source_files
for all template files and render every one of them using the model from model.json
.
The rendered output will be saved in the directory c:\my_output_files
, using the same file relative directory structure and file names as within c:\my_source_files
.
ZptSharp.Cli.exe -m model.json -i "**\*.*" -o c:\my_output_files c:\my_source_files


Front-end Developer
Hello. I am Tony, a Front-end Developer from the United Kingdom. If you would like to work with me, feel free to get in touch.
Hello. I am Tony, a Front-end Developer from the United Kingdom. If you would like to work with me, feel free to get in touch.


Apple Betas
Install iOS 11 Install WatchOS 4 Install macOS High SierraDescription
Install the iOS 11, WatchOS 4, or macOS High Sierra developer betas from here with the buttons above.
Installation Guide
Installing iOS 11
Click Install
Go through the insallation process
Reboot when it says to
Look in Settings then General then Software Updates
Install iOS 11
Tags
iOS 11
WatchOS 4
macOS High Sierra
Apple Betas


<%= docs[i].title %>
alt="Read the full post" /><%= docs[i].body %>
- <%= docs[i].date %>
- Posted by <%= docs[i].postedBy %>
- Read more
<%= docs[i].body %>
Ticket Stub is a WordPress Theme based on the idea of a movie reviews site, but the overall design and layout makes the theme a perfect choice for any type of blog. Read more…


A directive for providing suggestions while typing into the field
Autocomplete allows for custom html templating in the dropdown and some properties are exposed on the local scope on each template instance, including:
| Variable | Type | Details |
|---|---|---|
$index |
Number | iterator offset of the repeated element (0..length-1) |
$first |
Boolean | true if the repeated element is first in the iterator. |
$middle |
Boolean | true if the repeated element is between the first and last in the iterator. |
$last |
Boolean | true if the repeated element is last in the iterator. |
$even |
Boolean | true if the iterator position $index is even (otherwise false). |
$odd |
Boolean | true if the iterator position $index is odd (otherwise false). |
item |
Object | item object with value and label if label-key is set |
To use custom templating
<mac-autocomplete mac-autocomplete-url="someUrl" ng-model="model">
<span> {{item.label}} </span>
</mac-autocomplete>
Template default to {{item.label}}
if not defined
ng-model
Type: String
Assignable angular expression to data-bind to (required)
mac-placeholder
Type: String
Placeholder text
mac-autocomplete-url
Type: String
Url to fetch autocomplete dropdown list data. URL may include GET params e.g. "/users?nocache=1"
mac-autocomplete-source
Type: Expression
Data to use.
Source support multiple types:
mac-autocomplete-disabled
Type: Boolean
Boolean value if autocomplete should be disabled
mac-autocomplete-on-select
Type: Function
Function called when user select on an item
selected
- {Object} The item selected mac-autocomplete-on-success
Type: Function
function called on success ajax request
data
- {Object} Data returned from the request status
- {Number} The status code of the response header
- {Object} Header of the response mac-autocomplete-on-error
Type: Function
Function called on ajax request error
data
- {Object} Data returned from the request status
- {Number} The status code of the response header
- {Object} Header of the response mac-autocomplete-label
Type: String
The label to display to the users (default "name")
mac-autocomplete-query
Type: String
The query parameter on GET command (default "q")
mac-autocomplete-delay
Type: Integer
Delay on fetching autocomplete data after keyup (default 800)
mac-menu-class
Type: Expr
Classes for mac-menu used by mac-autocomplete. For more info, check ngClass


{% extends "main.html" %} {% block content %} {% include "header.html" %}
The biomedical and informatics communities have largely endorsed the spirit and basic components of the FAIR Data Principles. Biomedical data producers, including CTSA hubs, need actionable best-practice guidance on how to make their data discoverable and reusable, and bring the practical benefits of data sharing to researcher’s own research projects, as well as the research community as a whole.
CTSA hubs produce many valuable datasets which can be shared across the broader research community. A significant gap exists between the data providers and the data discovery portals where researchers look for relevant datasets. Data providers typically lack sufficient guides to expose their dataset metadata to these data portals. This project is targeted to streamline and minimize the efforts from data providers while maximizing the data discoverability.


Item 12.
"Read book in which folder?" will be the cue. Press enter on the bookshare folder, or whatever folder you have saved the book you want to unpack in. You may need to press space with x to get a list of all file types in order to find the book in the list.


MWD OBJECTIVE 3.00 Understand time based media.
3.01 Audio and Video example
Your browser does not support the video tag.
3.02 Basic Motion Graphic Programming example
Your browser does not support the video tag.
Home Page
Objective 1.00
Objective 2.00
Objective 3.00


| Class | ActiveRecord::ConnectionAdapters::OracleAdapter |
| In: |
vendor/rails/activerecord/lib/active_record/connection_adapters/oracle_adapter.rb
|
| Parent: | AbstractAdapter |
This is an Oracle/OCI adapter for the ActiveRecord persistence framework. It relies upon the OCI8 driver, which works with Oracle 8i and above. Most recent development has been on Debian Linux against a 10g database, ActiveRecord 1.12.1 and OCI8 0.1.13. See: rubyforge.org/projects/ruby-oci8/
Usage notes:
Required parameters:
| execute | -> | update |
| execute | -> | delete |
Returns true if the connection is active.
# File vendor/rails/activerecord/lib/active_record/connection_adapters/oracle_adapter.rb, line 205 205: def active? 206: # Pings the connection to check if it's still good. Note that an 207: # #active? method is also available, but that simply returns the 208: # last known state, which isn't good enough if the connection has 209: # gone stale since the last use. 210: @connection.ping 211: rescue OCIException 212: false 213: end
Disconnects from the database.
# File vendor/rails/activerecord/lib/active_record/connection_adapters/oracle_adapter.rb, line 223 223: def disconnect! 224: @connection.logoff rescue nil 225: @connection.active = false 226: end
# File vendor/rails/activerecord/lib/active_record/connection_adapters/oracle_adapter.rb, line 149 149: def native_database_types #:nodoc 150: { 151: :primary_key => "NUMBER(38) NOT NULL PRIMARY KEY", 152: :string => { :name => "VARCHAR2", :limit => 255 }, 153: :text => { :name => "CLOB" }, 154: :integer => { :name => "NUMBER", :limit => 38 }, 155: :float => { :name => "NUMBER" }, 156: :decimal => { :name => "DECIMAL" }, 157: :datetime => { :name => "DATE" }, 158: :timestamp => { :name => "DATE" }, 159: :time => { :name => "DATE" }, 160: :date => { :name => "DATE" }, 161: :binary => { :name => "BLOB" }, 162: :boolean => { :name => "NUMBER", :limit => 1 } 163: } 164: end
# File vendor/rails/activerecord/lib/active_record/connection_adapters/oracle_adapter.rb, line 196 196: def quoted_false 197: "0" 198: end
# File vendor/rails/activerecord/lib/active_record/connection_adapters/oracle_adapter.rb, line 192 192: def quoted_true 193: "1" 194: end
Reconnects to the database.
# File vendor/rails/activerecord/lib/active_record/connection_adapters/oracle_adapter.rb, line 216 216: def reconnect! 217: @connection.reset! 218: rescue OCIException => e 219: @logger.warn "#{adapter_name} automatic reconnection failed: #{e.message}" 220: end


| InternalDebugging | Gets or sets a value indicating whether log4net internal logging is enabled or disabled. |
| IsDebugEnabled | Test if LogLog.Debug is enabled for output. |
| IsErrorEnabled | Test if LogLog.Error is enabled for output. |
| IsWarnEnabled | Test if LogLog.Warn is enabled for output. |
| QuietMode | Gets or sets a value indicating whether log4net should generate no output from internal logging, not even for errors. |
| Debug | Overloaded. Writes log4net internal debug messages to the standard output stream. |
| Error | Overloaded. Writes log4net internal error messages to the standard error stream. |
| Warn | Overloaded. Writes log4net internal warning messages to the standard error stream. |
| Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
| GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
| GetType (inherited from Object) | Gets the Type of the current instance. |
| ToString (inherited from Object) | Returns a String that represents the current Object. |
LogLog Class | log4net.Util Namespace


#include <leapmapping.h>
|
| | LeapMapping () |
| |
| | LeapMapping (int widthPx, int heightPx, float widthMM, float heightMM) |
| |
| virtual void | calculateMapping (const Point &translationVecPx) |
| |
| virtual void | mapPoints (vector< Point > &points, vector< Point > &mappedPoints) |
| |
| virtual void | mapPoints (Point &point, Point &mappedPoint) |
| |
| LeapMapping::LeapMapping |
( |
| ) |
|
| LeapMapping::LeapMapping |
( |
int |
widthPx, |
|
|
int |
heightPx, |
|
|
float |
widthMM, |
|
|
float |
heightMM |
|
) |
| |
| void LeapMapping::calculateMapping |
( |
const Point & |
translationVecPx | ) |
|
|
virtual |
| void LeapMapping::mapPoints |
( |
vector< Point > & |
points, |
|
|
vector< Point > & |
mappedPoints |
|
) |
| |
|
virtual |
| void LeapMapping::mapPoints |
( |
Point & |
point, |
|
|
Point & |
mappedPoint |
|
) |
| |
|
virtual |
| float LeapMapping::numPxperMM_height |
|
protected |
| float LeapMapping::numPxperMM_width |
|
protected |
| Mat LeapMapping::transformationMatrix |
|
protected |
The documentation for this class was generated from the following files:


CSS background-color example!
This is a text inside a div element.
This paragraph has its own Area
WE ARE STILL IN DIV ELEMENT
This is a text inside a div2 element.
This paragraph has its own Area2
WE ARE STILL IN DIV2 ELEMENT


Support Vector Machines are statistical methods of classifying data.
Many problems in machine learning involve classification. This is where we have a data set that is split into different categories based on various characteristics and we want to add a new data point to the set and put it into the correct category.
For example, if we are an engineering department at a university, we might have data that sows that new students to the university are accepted if they have good grades in both Physics and Maths. The engineering department could represent this data using a 2D plot of Maths exam results against Physics exam results, and using then if they asked a student for their physics and maths exam results, they could add the results to the graph and see if the student should be accepted. Classification is used to determine whether the new point is in the accepted category or the rejected category.
There are many approaches to classification, but one of the simplest ways is to draw a straight line that separates the different catagories, and then assigning any new data points the category based on which side of the line they are on. This raises more problems though. As can be seen below, there are many lines that can separate the two categories. How do we know that the line we have chosen is most likely to classify new datapoints correctly?
What we need is an algorithm that take all the data points we currently have and outputs the line that is most likely to correctly classify new data.
In the example above, all the lines split the data correctly so how can we know which was best? A good classifier not only has to be good at separating the data we already have, it also has classify data that hasn't been seen yet. We use the data we already have to get a general idea of what future data might look like.
In the example above, the first plots line separates the data, but it gets very close to both clusters. This isn't ideal since if we add a red point thats close to the red cluster, there is a large chance that it is classified as blue since it will be on the other side of the line.
In the second plot, the the line perfectly separates the data but is also very far away from both clusters. This means that new points are unlikely to be misclassified.
In order to get a classifier like the one in the second plot, we can use Support Vector Machines. Support Vector Machines (SVMs) are a type of supervised learning model that is very good at coming up with optimal classifiers