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.
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.
Apparatus For Compact 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
International Classification:
G06F 15/16
US Classification:
709200
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 Internetworked Hybrid 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
International Classification:
G06F 15/177
US Classification:
709220
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.
Name / Title
Company / Classification
Phones & Addresses
David Gelvin President
Air-Trak Information Technology and Services · Operates As A Provider of Global Positioning Systems Equipment · Radio and T.V. Communications Equipment
11353 Sorrento Vly Rd, San Diego, CA 92121 (858)6779950, (858)6779959, (877)2478725