text stringlengths 9 94.9k |
|---|
Help! A giant red sea snake attacked a sailing ship! Hopefully it goes well! |
A detail of an ancient nautical chart rests in a square brass medallion with a thick glass cabochon. |
The medallion is hanging with a thick red glass fish, which ensures that the medallion is always in the center of the necklace, and some turquoise beads on a brass chain. |
This jewel is present only once in this jewelry store! |
This Product was added to our catalogue on Monday 29 August, 2016. |
In addition to trainings, exercises, and the sharing of tools and resources, AzCHER-Central provides education to its members and the community at large to help elevate the collective knowledge of emergency preparedness and emergency management. |
One such example of the coalition’s education efforts is found in our partnership with the Center for Public Health Law and Policy at ASU’s Sandra Day O’Connor College of Law. Professor James Hodge has prepared and recorded the following 2018 video to assist emergency managers and healthcare workers in understanding th... |
If you are studying or traveling in Germany, you learn some German. In the event of an emergency, you need to be able to communicate and understand effectively. You need to be able to ask for help if injured, and ask for legal protection if your rights are in jeopardy. If you have a specific health condition, a special... |
Each student should develop his or her own personal list of essential words and phrases to know. You may encounter many other helpful and important phrases you would like to include on your own list. For instance, you may want to look up specific phrases pertaining to Germany. Use our list as a guide, or starting point... |
You may find it helpful to print and cut out our Service Icons Card that you can carry with you. The card contains a series of simple images that represent services you may require—services like a telephone, post–office, taxi, and hospital. If you don't remember, or don't know, how to say a certain word in German, you ... |
Russia's major companies budgeted a total of $20 billion for innovative programs in 2013, Russian Prime Minister Dmitry Medvedev said. |
"I've just looked at the figures, only major companies allocated around 550 billion rubles for programs of innovative re-organization and re-equipment in 2013. This is about $20 billion," Medvedev said at the conference Dialog on the Future in Skolkovo. |
The Russian prime minister said that these were "not fantastic figures but this is quite serious money already." |
State institutions - venture structure, Rusnano corporation - are involved in innovative processes in Russia and are participating actively, Medvedev said. |
Is used in transporting hazardous material under 49 U.S.C. 5103 and transported in a quantity requiring placarding under 49 CFR, subtitle B, chapter I, subchapter C. |
I have monocular vision. I live in Florida and my CDL is restricted to intrastate only. Am I required to have an exemption or waiver? |
I drive a tow truck in Florida. Do I need a CDL? Which vehicle group does it fall under? |
If the Gross Combination Weight Rating (GCWR) of the tow truck and its towed vehicle is 26,001 pounds or more, and the towed vehicle alone exceeds 10,000 pounds Gross Vehicle Weight Rating (GVWR), then the driver needs a Group A CDL. |
If the Gross Vehicle Weight Rating (GVWR) of the tow truck alone is 26,001 pounds or more, and the driver either (a) drives the tow truck without a vehicle in tow, or (b) drives the tow truck with a towed vehicle of 10,000 pounds or less Gross Vehicle Weight Rating (GVWR), then the driver needs a Group B CDL. |
If neither of the above apply, and the driver tows a vehicle required to be placarded for hazardous materials on a ‘‘subsequent move,’’ i.e. after the initial movement of the disabled vehicle to the nearest storage or repair facility, then the driver needs a Group C CDL. |
Can your office issue my medical certificate? |
Yes. As of May 2014, all U.S.A. DOT medical examinations must be conducted by a Federal Motor Carrier Certified Medical Examiner. Dr. Green is a Federal DOT Certified Medical Examiner. |
You can apply for a vision exemption here or a diabetes exemption here. |
This product is an elephant-shaped smartphone stand. |
It has been designed to help the endangered African Baby elephant. |
We will donate 1% of the proceeds to the Baby Elephant Conservation Group. |
Upgrading Our EMR Netsmart. Backing up the database and creating a sandbox server to text and try the new updates. |
Took EMR Netsmart software from 17.0 to 18.4. Built a sandbox server (server 2012) backed up patient database and transferred it to the sandbox. Renewed SSLs. |
Beyond Darwin: revealing culture-specificities in the temporal dynamics of 4D facial expressions. |
Since Darwin’s seminal work on the evolutionary and biological origins of facial expressions, the Universality Hypothesis maintains that all humans express six basic emotions - "happy," "surprise," "fear," "disgust," "anger" and "sad" - using the same set of distinct facial movements. Testing this hypothesis directly, ... |
Meeting abstract presented at VSS 2012. |
Don't let the border stop you from experiencing all of Niagara Falls' glory! On this deluxe 6-hour tour, visit top Niagara Falls attractions on both the Ontario side and the New York side. Take a ride on the famous 'Maid of the Mist' boat, view the falls from atop Skylon Tower, feel the falls’ thunder at the Cave of th... |
Im just wondering, i am in 6th division and currently 4th best team. Most of the weaker ones are like 10-15 total skill point lower, does that affect my experience gain from games? |
Or is it the progress no matter of the opponent? |
No, that doesn't affect the experience gain at all. The two things, that impact the gaining of experience is the time on ice and his age. The younger a player is, the more experience he gains. |
Thank you for your answer, it helped me a lot! |
Sorry for the following offtopic: Can you tell me how did you do that signature with your team information? |
You log into your account and go to office, then to settings (the crossed hammer and wrench, I always overlooked it back in the day when someone told me to go to the settings ), then you see on the right side "Signature", it's the second last option. There you copy the BB-Code, then you go to the forum, click on profil... |
I'm not 100% sure you already can create a custom signature in the forum, it's linked to the amount of posts you created, but I believe you should have enough. |
If Others, do state so. |
Click here after submitting the form to pay now! |
All payment to be payable to TRADEVSA SYSTEM SDN BHD, Maybank 514178647113. Send a copy of the payment slip to Zac at: +60-10-266-9761. |
IMPORTANT: All payments will be made in Ringgit Malaysia. No refunds are allowed. |
Traffic lights can be tricky in a real emergency. If the light is red, emergency vehicles lose precious time moving slowly and carefully through the intersection. But a pilot program and partnership between the City of Dunwoody and DeKalb County could make a big difference. |
The Glance Priority and Preemption System by Applied Information is designed to give fire trucks the green light when responding to a 911 call. It makes it easier and safer for emergency vehicles by bringing all other traffic safely to a halt. |
Special preemption equipment has been installed in two trucks at DeKalb County Fire Station 18 on Barclay Drive behind Peachtree Charter Middle School. Corresponding equipment has also been placed inside the signal cabinets at two intersections: Peeler Road at North Peachtree Road and Tilly Mill Road at North Peachtree... |
The system works by letting the trucks and signals essentially talk to one another using GPS and cellular technology. As a fire truck on an emergency call approaches the intersection, the equipment on the truck sends a message to the lights that it’s coming. |
If the light is red, the signal will cycle through and turn green in time to allow the truck to move safely through the intersection without slowing or waiting. |
“We are pleased that DeKalb County Fire Rescue has partnered with the City of Dunwoody to enhance safety at these busy intersections and reduce emergency response time,” said Dunwoody Public Works Director Michael Smith. |
The City of Dunwoody paid for the signal cabinet equipment, which costs about $5,000 per signal. DeKalb County picked up the cost of the truck equipment, which runs about $2,500 per vehicle. |
Dunwoody is looking to install the equipment at a couple of other signals in the Perimeter area soon. The City will analyze the impact of this pilot program in exploring whether it can be expanded further. |
Great post, Doug. Thanks. What is the old grocery today asks the wayward Alamedan in L.A. |
The old grocery has been transformed into a residence. Check out the Redfin gallery (see link in the text) for a visual tour of the place. |
Wow…wish I’d bought it…we could just walk on over…plus the art scene. Very nice. |
Methods, systems and devices are implemented in connection with measuring subcutaneous fat and loin depth in a portion of muscle tissue. Consistent with one such method a probe is presented to the portion of muscle tissue. The probe produces a response-provoking signal in the muscle tissue used to determine the fat and... |
This patent document claims the benefit, under 35 U.S.C. §119(e), of U.S. Provisional Patent Application Ser. No. 61/050,542 filed on May 5, 2008, and entitled “SYSTEMS, METHODS AND DEVICES FOR USE IN ASSESSING FAT AND MUSCLE DEPTH;” this patent document and the Appendices filed in the underlying provisional applicatio... |
Subject matter described in this document is based upon work supported by the Cooperative State Research, Education, and Extension Service, U.S. Department of Agriculture, under Agreement Nos. 2006-33610-16761 and 2007-33610-18441. The U.S. government has certain rights to this invention. |
The present invention relates to systems and methods for inspecting and measuring muscle tissue parameters related to fat and lean content and quality of meat. |
There are several attributes of meat quality that relate to palatability and consumer eating satisfaction. Assessments of such qualities can be useful for a variety of food animals. Such assessments can also be useful in both live animals and animal carcasses. For example, carcass weight, backfat and/or loin depth meas... |
Current fat and depth measurement processes employ manual methods, optical probes, and cross-sectional scanning, and involve highly trained technicians performing time-consuming and labor-intensive work to achieve accurate measurements. Thus, a significant challenge is presented with measuring fat and loin depths in a ... |
The present invention is directed to systems and methods for determining quantitative measure of fat and loin depths of muscle tissue, for example, pork and beef, including from hot carcasses and live animals. These and other aspects of the present invention are exemplified in a number of illustrated implementations an... |
Consistent with an embodiment of the present invention, a method is implemented for automatically measuring fat and loin depth. An ultrasonic probe is presented to the carcass. The probe produces a response-provoking signal in the meat. A resulting signal is used to determine various tissue boundaries such as the skin-... |
FIG. 7 shows a block diagram of an example intercostales muscles boundary automation algorithm, consistent with an example embodiment of the present invention. |
The present invention is believed to be useful for inspecting and measuring muscle tissue parameters, such as fat and loin depth. The muscle tissue can originate from any number of different food animals and the inspection and measuring can be obtained from live animals or animal carcasses. A specific embodiment of the... |
An embodiment of the present invention is directed toward a noninvasive mechanism for determining fat and loin depth of muscle tissue, such as muscle tissue from live pork or beef animals, or pork or beef carcasses. Ultrasound imaging is used to capture internal images of the muscle tissue. An image processor processes... |
Specific embodiments of the present invention are directed toward facilitating the determination of fat and loin depth in a meat processing line. Devices, methods and systems facilitate fat and loin depth determinations at speeds and accuracy levels that are particularly useful for use on a processing line. Various asp... |
An embodiment of the present invention is directed toward a noninvasive system for measuring subcutaneous fat depth and muscle depth in the longissimus dorsi muscle of hot carcasses, and using such measurements to aid in determining other muscle tissue characteristics, such as percentage intramuscular fat (IMF). The me... |
By way of example, FIG. 1 illustrates a system for use in inspecting and measuring muscle tissue parameters in carcasses, according to a specific embodiment of the present invention. Probe 102 communicatively connects to processing block 104 using probe input/output (I/O) 110, 112. This connection can be implemented us... |
With respect to image acquisition conditions, it has been observed that the quality of ultrasonic images acquired from animal carcasses can be affected by the pressure applied between the probe transducer and the carcass. Thus, in reference to FIG. 1, the probe 102 optionally includes one or more pressure sensors such ... |
According to specific embodiments of the present invention, processing parameters 120 used by the algorithms for determining muscle tissue characteristics can be dynamically adjusted for each carcass. For example, each carcass has a specific makeup with regards to the tissue depths of various tissue types. These differ... |
Ultrasound device calibration can be particularly useful for maintaining consistency between measurements where, for example, components of the device are replaced or operation parameters change (e.g., changes over time due to use or due to temperature variations). One mechanism for calibration involves the use of a de... |
By way of example, FIG. 2 illustrates a meat packing plant environment where hot carcasses, such as carcass 294, are conveyed along an overhead conveyor system 292 in a direction indicated by the arrow. As the carcasses pass an operator measurement position, an operator 290 applies an ultrasonic transducer probe from u... |
In exemplary embodiments, the present invention may be used to first screen the acquired images for sufficient image quality. Next, image processing algorithms may be applied to automatically determine the fat layer boundaries, and then determine the rib locations (if visible on the image) and the top and bottom edges ... |
Video frames are continuously captured, and processing of the captured images is implemented in response to the sensors on the transducer fixture indicating that a correct carcass skin to transducer lens face pressure range has been achieved. The pressure can be continuously monitored. Each frame for which a correspond... |
The automation algorithm includes three subsections, each determining one of the above-mentioned boundary positions. Ultrasound image size (number of pixels along rows and columns) can vary depending on ultrasound scanner and frame grabber used for image capturing, and so the algorithm may be independent of image pixel... |
Ultrasound calibration software algorithms may be used to set image capturing parameters to a given reference. Calibration works in combination with an ultrasound scanning device, the analog video signal from the scanner, and an image frame grabber. Calibration software may be used to automatically determine if the sou... |
In exemplary embodiments, the present invention may be implemented as an online fat and loin depth measurement, for example, usable by a packing plant to sort pork carcasses for processing, product marketing, and paying pork producers for their harvested pigs. Systems and methods of the present invention may be employe... |
In systems and methods of the present invention, an operator (human, automated, or combination) positions the ultrasonic probe on the skin of the carcass, and the remaining processes follow automatically, including the capture of carcass identification and live video image frames. In exemplary pork loin processing embo... |
FIG. 3 is an ultrasound image of a swine carcass loineye muscle, captured using an Aloka SSD 500V ultrasound scanner, a 12.5 cm linear transducer of 3.5 MHz and a Sensoray 2255S frame grabber. It is a longitudinal image of a swine carcass positioned over the last 3 to 4 ribs. The top-most light-grey band is the transdu... |
A process for determining the fat depth 4 and loin eye muscle depth 10 may be automated for swine carcass data in a real time live-streaming scanning system. The fat depth 4 is the difference between the two boundary positions, skin-fat 2 and fat-muscle 3; whereas, the loin eye muscle depth 10 is the difference between... |
Fat depth automation algorithms in accordance with certain embodiments include determining the two boundary positions, skin-fat and fat-muscle, from the ultrasound image of a swine carcass. FIG. 4A shows a block diagram of an example fat depth automation algorithm, which includes determining the fat-skin boundary, dete... |
FIG. 5 shows a block diagram of an example skin-fat boundary automation algorithm, consistent with an example embodiment of the present invention. Threshold-based operations are used on the captured ultrasound image based on the horizontal resolution of grey level intensity to determine the desired boundary positions. ... |
FIG. 6 shows a block diagram of an example fat-muscle boundary automation algorithm, consistent with an example embodiment of the present invention. A 2D grey scale image (e.g., from of ultrasound imaging of the desired tissue area) is input to a processing circuit. The processing circuit performs multiple processing s... |
FIG. 7 shows a block diagram of an example intercostales muscles boundary automation algorithm, consistent with an example embodiment of the present invention. A processing circuit uses a 2D grey scale image of the ultrasound tissue area. The portion of the image used in this processing can be defined as the region ver... |
An image intensity histogram mean may be computed for sliding image strips of a predefined height (e.g., 13 pixels) and width that is the same as the actual tissue area (e.g., 500 pixels), for example, moving across the rows from the skin-fat boundary to bottom with a step size equal to half the strip height (e.g., 6 p... |
An example algorithm for loin depth measurement proceeds as illustrated in the block diagram in FIG. 4B. First, the rib column positions for the first three ribs (labeled 6, 7, and 8 in FIG. 3) starting from the left side of the image are determined. Secondly, the rib top boundaries corresponding to these rib columns a... |
Accordingly, one embodiment of the present invention relates to determining the skin-fat boundary, the fat-muscle boundary, and the intercostales muscles interface. The method involves capturing an image data from a response-provoking signal, such as an ultrasound signal. The captured image is analyzed by applying (use... |
A filtering function is applied to identify the dark vertical regions in the captured image, which can be caused by very high acoustic impedance at the skin. This can be particularly useful for compensating for dark regions that are the result of excessive scalding or burner singeing. These dark regions are then restri... |
The rib shadow column locations are identified by comparing the intensity average values calculated for vertical slices moving across the width of the image below the fat-muscle boundary. The rib top boundaries are determined by comparing the intensity average values for small horizontal slices across the each identifi... |
The results of these steps can be used for calculating the fat depth and loin depth. For example, the fat depth can be computed as a distance between the skin-fat boundary and fat-muscle boundary. The loin depth can be computed as a distance between the fat-muscle boundary and intercostales muscles boundary (e.g., top ... |
The fat and muscle tissue of swine carcass indicated in an ultrasound image takes up only a portion of the image area (e.g., from rows 49 to 448 and columns 53 to 502 in a 640×480 pixel image). In a given image, a sub-image may be selected and considered for determining rib column positions for all the ribs from the le... |
The computed intensity average for sliding strips across columns is used to determine the rib column positions for the ribs starting from the left side of the image. The main focus to measure the loin depth is between a pair of ribs due to the preferable position of image ROI for texture analysis for the prediction of ... |
For every non-zero rib column 1 or 2, a sub-image is selected defined by the row starting from the fat-muscle boundary plus a set number of pixels, such as 120, to a set final row, such as row 420 (in mm conversion, fat-muscle boundary plus 30 mm to 105 mm). Within this sub-image a small moving image box of a set numbe... |
i) If (Rib1≠10 and Rib2≠0), then the column range is from (Rib1−step) to (Rib2+step). |
ii) If (Rib1≠0 and Rib2=0), then the column range is from (Rib1−step) to (Rib 1+step). |
Once the column range is decided, the row range for fine adjustment is selected to the region with row position starting from average rib top boundary minus a set number of pixels (e.g., 35) to average rib position plus a set number of pixels (e.g., 30) which is around 8 mm up and down from the average rib top boundary... |
To determine the bottom interface of the intercostales muscles, the row range is selected as the region with row position starting from the rib-muscle boundary plus a set number of pixels (e.g., 24) to the rib-muscle boundary plus a set number of pixels (e.g., 70) which is approximately 18 mm down from the rib-muscle b... |
For fine adjustment of the fat-muscle boundary, the row range for fine adjustment is selected as the region with row position starting from the average fat-muscle boundary minus a set number of pixels (e.g., 24) to the average fat boundary plus a set number of pixels (e.g., 24). This is around 6 mm up and down from the... |
Table 1 presents the results of automation of backfat depth and loin eye muscle thickness measurements based on scanning 504 live animals. The images were collected using the Sensoray frame grabber and two ultrasound scanners—Aloka SSD 500V and Aquila Vet. Auto depth measurements were compared with the manual measureme... |
and loin depth for live pigs. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.