Siemens Industry, Inc.

Siemens Corporation

Siemens Audiologische Technik Gmbh

Siemens Enterprise Communications Gmbh & Co. Kg

Siemens Medical Instruments Pte. Ltd.

Michael T Loiacono

Justinian Rosca

Nazif Cihan Tas

Amar H Patel

Juan Aparicio

Henning Puder

Heiko Claussen

Radu Victor Balan

Octavian Sarca

Tamer M Nadeem

Chih-Wei Huang

Jenq-Neng Hwang

Systems and methods are provided for modeling and simulating a communication network operating under at least one communication protocol, which supports a Smart Grid electricity network. Communication performance data of the communication network are generated by a processor based on operating behavior of the Smart Grid with a plurality of assets under a first condition. Devices in the Smart grid are grouped in bins for rapid modeling. One or more different configurations of the communication network are entered into the processor and related performance data is also generated. Network configurations are compared based on the generated performance data which may include end-to-end delay and reception rate. Processor based systems to perform modeling methods are also provided.

Smart grid communication assessment and co-simulation tool

Network element consolidation for rapid discrete network simulations

Network traffic profile aggregation for efficient discrete event smart grid network simulations

Mobile monitoring systems and methods are disclosed. In accordance with one aspect of the invention, the system includes a plurality of vehicles and a base communication station that are in communication with each other. Each of the vehicles includes a camera that generates image data, a location device that generates geographic coordinates of the vehicle, a computing device that receives the image data from the camera and the geographic coordinates of the vehicle and forms a processed image signal that includes the image data, the geographic coordinates and a time stamp, and a communication device that receives the processed image signal from the computing device and wireless transmits the processed image signal to the base communication station. The base communication station receives the processed image signal. The base communication station can include an image processor to further process the processed image signal from each of the plurality of vehicles to form an output signal and a transmitter that transmits the output signal. The output signal can be used to control traffic control devices, vehicles and to provide other useful information.

Mobile sensing for road safety, traffic management, and road maintenance

Own voice recognition (OVR) for hearing aids, detects time instances where the person wearing the device is speaking. Classification of the own voice is performed dependent on a fixed or adaptive detection threshold. Automatic tuning in a real-time system depends on general noise statistics in the input signals. The noise is removed from the received signal and is characterized by signal-to-noise ratio and noise color. An optimal detection threshold for own voice recognition is determined based on the noise characteristics. A noise detection model is created by smoothed Voronoi tessellation. Own voice detection is performed by a processor.

Systems and methods for own voice recognition with adaptations for noise robustness

A method for controlling packet flow in a packet transmission network. The method includes determining a parameter representative of packet congestion on the network, and adjusting a flow of packets onto the network in accordance with such parameter. The adjusting is a function of the time history of the parameter and the time average of such parameter relative to predetermined threshold levels. The adjusting selects one of a plurality of states, transitions between the states being a function of the time history of the parameter and the time average of such parameter relative to predetermined threshold levels.

Method and apparatus to inspect wireless traffic and mitigate packet elimination for wireless saturation avoidance

A method for controlling congestion for real-time video transmission in a wireless network includes receiving a packet loss rate of a video camera in a wireless network, receiving an estimated maximum throughput of the video camera from the camera to a server, decrementing a bit transmission rate when the packet loss rate is greater than a first predetermined threshold, incrementing the bit transmission rate when the packet loss rate is less than a second predetermined threshold for a predetermined time period, and transmitting the bit transmission rate to a video encoder that is part of an application layer of a network communication protocol for the wireless network.

System and method for distributed cross-leyer congestion control for real-time video over wireless LAN

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Hillsborough, NJ, United States of America

Michael T Loiacono