David C. Gelvin - Escondido CA Lewis D. Girod - Los Angeles CA William J. Kaiser - Los Angeles CA William M. Merrill - Los Angeles CA Fredric Newberg - San Diego CA Gregory J. Pottie - Los Angeles CA Anton I. Sipos - Los Angeles CA Sandeep Vardhan - Walnut CA
Assignee:
Sensoria Corporation - San Diego CA
International Classification:
G06F 1516
US Classification:
709224, 709200, 706 33
Abstract:
The Wireless Integrated Network Sensor Next Generation (WINS NG) nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment. The WINS NG network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. The WINS NG nodes combine microsensor technology, low power distributed signal processing, low power computation, and low power, low cost wireless and/or wired networking capability in a compact system. The WINS NG networks provide sensing, local control, remote reconfigurability, and embedded intelligent systems in structures, materials, and environments.
Apparatus For Internetworked Hybrid Wireless Integrated Network Sensors (Wins)
David C. Gelvin - Escondido CA Lewis D. Girod - Los Angeles CA William J. Kaiser - Los Angeles CA William M. Merrill - Los Angeles CA Fredric Newberg - San Diego CA Gregory J. Pottie - Los Angeles CA Anton I. Sipos - Los Angeles CA Sandeep Vardhan - Walnut CA
Assignee:
Sensoria Corporation - San Diego CA
International Classification:
G08B 108
US Classification:
709224, 340539
Abstract:
The Wireless Integrated Network Sensor Next Generation (WINS NG) nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment. The WINS NG network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. The WINS NG nodes combine microsensor technology, low power distributed signal processing, low power computation, and low power, low cost wireless and/or wired networking capability in a compact system. The WINS NG networks provide sensing, local control, remote reconfigurability, and embedded intelligent systems in structures, materials, and environments.
Method And Apparatus For Distributed Signal Processing Among Internetworked Wireless Integrated Network Sensors (Wins)
David C. Gelvin - Escondido CA Lewis D. Girod - Los Angeles CA William J. Kaiser - Los Angeles CA William M. Merrill - Los Angeles CA Fredric Newberg - San Diego CA Gregory J. Pottie - Los Angeles CA Anton I. Sipos - Los Angeles CA Sandeep Vardhan - Walnut CA
Assignee:
Sensoria Corporation - San Diego CA
International Classification:
G08B 108
US Classification:
709224, 340539
Abstract:
The Wireless Integrated Network Sensor Next Generation (WINS NG) nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment. The WINS NG network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. The WINS NG nodes combine microsensor technology, low power distributed signal processing, low power computation, and low power, low cost wireless and/or wired networking capability in a compact system. The WINS NG networks provide sensing, local control, remote reconfigurability, and embedded intelligent systems in structures, materials, and environments.
Method And Apparatus For Internetworked Wireless Integrated Network Sensor (Wins) Nodes
David C. Gelvin - Escondido CA, US Lewis D. Girod - Los Angeles CA, US William J. Kaiser - Los Angeles CA, US William M. Merrill - Los Angeles CA, US Fredric Newberg - San Diego CA, US Gregory J. Pottie - Los Angeles CA, US Anton I. Sipos - Los Angeles CA, US Sandeep Vardhan - Walnut CA, US
Assignee:
Sensoria Corporation - San Diego CA
International Classification:
G08B001/08
US Classification:
709224, 340539
Abstract:
The Wireless Integrated Network Sensor Next Generation (WINS NG) nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment. The WINS NG network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. The WINS NG nodes combine microsensor technology, low power distributed signal processing, low power computation, and low power, low cost wireless and/or wired networking capability in a compact system. The WINS NG networks provide sensing, local control, remote reconfigurability, and embedded intelligent systems in structures, materials, and environments.
Method For Collecting And Processing Data Using Internetworked Wireless Integrated Network Sensors (Wins)
David C. Gelvin - Escondido CA, US Lewis D. Girod - Los Angeles CA, US William J. Kaiser - Los Angeles CA, US William M. Merrill - Los Angeles CA, US Fredric Newberg - San Diego CA, US Gregory J. Pottie - Los Angeles CA, US Anton I. Sipos - Los Angeles CA, US Sandeep Vardhan - Walnut CA, US
Assignee:
Sensoria Corporation - San Diego CA
International Classification:
G06F 15/173 G06F 9/44 H04L 12/28 H01L 25/00
US Classification:
709224, 370390, 250332, 717100
Abstract:
The Wireless Integrated Network Sensor Next Generation (WINS NG) nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment. The WINS NG network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. The WINS NG nodes combine microsensor technology, low power distributed signal processing, low power computation, and low power, low cost wireless and/or wired networking capability in a compact system. The WINS NG networks provide sensing, local control, remote reconfigurability, and embedded intelligent systems in structures, materials, and environments.
Open Platform Architecture For Shared Resource Access Management
Jeremy Elson - Culver City CA, US Lewis D. Girod - Culver City CA, US William J. Kaiser - Los Angeles CA, US Josef Kriegl - San Diego CA, US Gregory J. Pottie - Los Angeles CA, US Guillaume Francois Rava - Culver City CA, US
Assignee:
Tranzeo Wireless Technologies, Inc. - Vancouver, British Columbia
An open platform architecture and methods for shared resource access management are provided. A redirection module in kernel space receives requests for access to resources from applications in user space. The redirection module routes signals representative of the received requests to a device driver interface in user space. Components of the device driver interface include resource management modules and device drivers that correspond to available resources. The resource management modules generate queries to the device drivers regarding availability of the requested resources. Upon receipt of resource status information from the device drivers, components of the device driver interface generate schedules for granting access to the requested resources. Further, the device driver interface components control access to the resources in accordance with the generated schedules including issuing responses to the requesting applications and the device drivers of the requested resources.
Autonomous Tracking Wireless Imaging Sensor Network Including An Articulating Sensor And Automatically Organizing Network Nodes
William J. Kaiser - Los Angeles CA, US Lars Fredric Newberg - Marina Del Rey CA, US Gregory J. Pottie - Los Angeles CA, US
Assignee:
Borgia/Cummins, LLC - Wilmington DE
International Classification:
G06F 15/173 G06F 15/16 G01V 3/00
US Classification:
709224, 709201, 34099528, 3408556
Abstract:
A wireless integrated network sensor (WINS) system is provided that integrates articulating tracking systems with WINS network components including visual or infrared sensors and imaging devices to enable precise tracking and targeting of objects moving through a sensor field or past a single integrated sensing and targeting unit. Further, arrays of sensors together with local signal processing are used to trigger cameras and tracking systems, and to provide an alternative location capability for improved robustness. The system is self-configuring and remotely controllable, and enables remote systems and operators to query for collected data, including sensory and image data, and control the system in response to the collected data.
David C. Gelvin - Escondido CA, US Lewis D. Girod - Los Angeles CA, US William J. Kaiser - Los Angeles CA, US Fredric Newberg - San Diego CA, US Gregory J. Pottie - Los Angeles CA, US
Assignee:
Borgia/Cummins, LLC - Willington DE
International Classification:
G06F 15/16
US Classification:
709249, 709223, 701207
Abstract:
Vehicle internetworks provide for communications among diverse electronic devices within a vehicle, and for communications among these devices and networks external to the vehicle. The vehicle internetwork comprises specific devices, software, and protocols, and provides for security for essential vehicle functions and data communications, ease of integration of new devices and services to the vehicle internetwork, and ease of addition of services linking the vehicle to external networks such as the Internet.
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