Protein-based, edible chewable pet toys, such as artificial dog bones, and methods of preparing such chewable pet toys are disclosed. The chewable pet toys are made from protein-based thermoplastic composition containing plant and animal derived proteinic material and various additive and nutrient ingredients. Chewable pet toys within the scope of the present invention possess properties of conventional artificial dog bones made of synthetic polymer, such as good strength and hardness, but they are biodegradable and edible. In addition, the chewable pet toys contain vitamins, minerals, flavorings, oral hygiene additives and other ingredients to help keep teeth and bones strong and to promote the growth and health of the pet.
Natural Polymer International Corporation - Richardson TX
International Classification:
A23J 304
US Classification:
426104, 426656, 426657, 426661, 426805
Abstract:
The present invention relates to an edible thermoplastic made from about 30 to 50 wt. % protein comprising a mixture of plant and animal derived protein, about 20 to 50 wt. % starch about 10 to 20 wt. % water, about 1 to 10 wt. % edible fiber, and about 0. 5 to 3 wt. % metallic salt hydrate. When molded, the thermoplastic has good strength and stiffness and other physical properties. The edible thermoplastic may be molded in a variety of shapes including a segmented nutritional pet chew with a plurality of segments separated by a plurality of scores. The scores serve to structurally weaken the pet chew so that it may be broken into smaller pieces. When molded the edible thermoplastic has a density of about 1. 2 to 1. 5 g/cubic centimeters.
Method And System For Data Aggregation In A Sensor Network
Joseph Cleveland - Murphy TX, US Shu Wang - Richardson TX, US
Assignee:
Samsung Electronics Co., Ltd. - Suwon-si
International Classification:
G06F 17/30
US Classification:
707802, 707803, 707804
Abstract:
A sensor profile based data aggregation method for aggregating data in a sensor network, which includes a plurality of sensor nodes, is provided. This method includes steps of determining types of sensors included in the sensor nodes, and generating a sensor profile that includes information on each type of the sensors. The information includes a filtering criterion and aggregation operators defined for the each type of the sensors. Once the sensor profile is created, the profile is parsed into a header file, and the header file is compiled with other sub-modules to generate a sensor profile based aggregation module. The sensor profile based aggregation module is installed in each of the sensor nodes. Whenever, sensor data is received in the sensor node, the data is filtered according to the filtering criterion defined in the sensor profile, and data aggregation is simultaneously with given operators.
Techniques For Self-Organizing Activity-Diffusion-Based Wireless Sensor Network
Methods and wireless sensor nodes for aggregation-driven topology formation in a Wireless Sensor Network (WSN) are provided. A method for aggregation-driven topology formation in a WSN includes aggregating sensor data by one or more first sensor nodes, sending, by each of the one or more first sensor nodes, at least one activity diffusion message to each of at least one neighboring node of one or more second sensor nodes, wherein each activity diffusion message includes an activity diffusion weight, receiving, by each of the one or more second sensor nodes, respective of the at least one activity diffusion message from at least one neighboring node of the one or more first sensor nodes, accumulating, by each of the one or more second sensor nodes, activity diffusion weights included in the at least one activity diffusion message received from the at least one neighboring node of the one or more first sensor nodes, sending, by each of the one or more first sensor nodes, the aggregated data to at least one of the at least one neighboring node of the one or more second sensor nodes, and receiving, by the at least one of the at least one neighboring node of the one or more second sensor nodes, the aggregated data from respective of the one or more first sensor nodes.
Mac Layer Timestamping Approach For Emerging Wireless Sensor Platform And Communication Architecture
Shu Wang - Richardson TX, US Tae-Won Ahn - Suwon-si, KR
Assignee:
Samsung Electronics Co., Ltd. - Suwon-si
International Classification:
H04B 7/00
US Classification:
370310
Abstract:
In the receiving side MAC layer timestamping approach, the MPDU structure is changed by adding an extra timestamping field. When a MPDU packet is generated, a captured receiving timestamp is written into the MPDU's timestamp field. The MPDU packet is then forwarded from the PHY to the MAC layer of the wireless sensor node. In the MAC layer, the receiving timestamp is further processed and inserted into a corresponding field of the time synchronization message, which is in turn transmitted to a Time Synchronization module. In the sending side MAC layer timestamping approach, the sending timestamp is captured immediately before the time synchronization message is written into TxFIFO.
Mobile Ticket Virtual Sensor For Context Detection
An apparatus and method for are provided. The method includes determining that a barcode displayed on a mobile terminal has been scanned, retrieving metadata corresponding to the barcode when the barcode has been scanned, and triggering a context-aware action in the mobile terminal based on the barcode and/or the retrieved metadata.
Shashikant Maheshwari - Irving TX, US Yousuf Saifullah - Richardson TX, US Shu Shaw Wang - Arlington TX, US Haihong Zheng - Coppell TX, US
Assignee:
Nokia Siemens Networks Oy - Espoo
International Classification:
H04W 4/00 H04W 72/04
US Classification:
370329, 370312, 370338, 375267
Abstract:
A method for transmitting, to one or more wireless stations in a wireless network, map information identifying resources allocated to one or more of the wireless stations, the map information including a plurality of Maps, each Map allocating resources to one or more of the wireless stations, one or more of the Maps including a Next Map Pointer (NSP) that includes location information identifying a location of the next Map within a frame.
Mobile Code Decoding Fault Recovery Via History Data Analysis
An apparatus and method for mobile code decoding fault recovery are provided. The method includes scanning a mobile code, decoding the mobile code, when the mobile code is not decoded successfully, storing a decoded portion of the mobile code as a partially decoded mobile code, and decoding the mobile code based on a sequence alignment algorithm and a predetermined number of partially decoded mobile codes, and providing the decoded mobile code to the mobile device.
Dr. Wang graduated from the Medical College of Wisconsin School of Medicine in 1996. She works in Columbus, OH and 1 other location and specializes in Infectious Disease. Dr. Wang is affiliated with Nationwide Childrens Hospital and Ohio State University Wexner Medical Center.
Mar 2014 to 2000 Software Development EngineerCerner Kansas City, MO Aug 2012 to Feb 2014 Software Development Engineer
Education:
Arizona State University Tempe, AZ 2010 to 2012 Master of Computer Science in Data Mining, Information Retrieval, Big DataNanjing Normal University Nanjing, CN 2007 to 2010 Master of Science in 3D GIS, GIS Software DevelopmentNanjing Normal University Nanjing, CN 2003 to 2007 Bachelor of Science in GIS
Skills:
Java, C++, C#, VB, HTML5, CSS3, JavaScript, JQuery, Spring, Google Maps API, Lucence API
Jan 2011 to Present Teaching AssistantKey Lab of Geographic Environment, Ministry of Education, Nanjing Normal University
Sep 2007 to Jun 2010 Research Assistant
Education:
Arizona State University Tempe, AZ Jan 2010 to Jan 2012 Master of Computer ScienceNanjing Normal University Jan 2007 to Jan 2010 Master of Science in GISNanjing Normal University Jan 2003 to Jan 2007 BS in GIS