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Automated traffic mapping

A system of mobile units are installed in multiple vehicles in traffic. These mobile units include both wireless communications devices and apparatus that determines the location of each vehicle. Monitoring a vehicle's position as a function of time also reveals the velocity of the vehicle. Position and speed information is periodically broadcast by the vehicles to a central monitoring station and to neighboring vehicles. At the central monitoring station, the collective input of a set of vehicles is processed to provide an instant chart of traffic conditions in the area. Warnings of delays or updates on traffic conditions on the road ahead are then automatically returned to subscribers of the information or are used as part of an Intelligent Vehicle Highway System (IVHS). Neighboring vehicles within a region communicating with one another form a network in which the broadcast information is processed locally on the respective vehicles to estimate possible problems ahead and consider computing an alternate road and/or checking with the central monitoring station for more information. If out of range of the central monitoring station, the vehicles in the network form a local area network for the exchange and update of information, and when any vehicle in the network is within range of the central monitoring station, the local area network data is uploaded to help update the overall traffic information.
Owner:TOMTOM GLOBAL CONTENT

Data access, replication or communication system comprising a distributed software application

The present invention envisages a data access, replication or communications system comprising a software application that is distributed across a terminal-side component running on a terminal and a server-side component; in which the terminal-side component and the server-side component (i) together constitute a client to a server and (ii) collaborate by sending messages using a message queuing system over a network Hence, we split (i.e. distribute) the functionality of an application that serves as the client in a client-server configuration into component parts that run on two or more physical devices that commuunicate with each other over a network connection using a message queuing system, such as message oriented middleware. The component parts collectively act as a client in a larger client-server arrangement, with the server being, for example, a mail server. We call this a ‘Distributed Client’ model. A core advantage of the Distributed Client model is that it allows a terminal, such as mobile device with limited processing capacity, power, and connectivity, to enjoy the functionality of full-featured client access to a server environment using minimum resources on the mobile device by distributing some of the functionality normally associated with the client onto the server side, which is not so resource constrained.
Owner:MALIKIE INNOVATIONS LTD

Apparatus and method for frequency shifting of a wireless signal and systems using frequency shifting

Systems, methods and apparatus for improving the coverage of a wireless network based on frequency shifting scheme. A wireless signal in a frequency band is shifted to another distinct band, and carried in the shifted band, using wired or wireless mediums to another location, wherein the wireless signal is shifted back to the original frequency band. The frequency shifting may make use of a conventional frequency shifting schemes such as mixer/filter and heterodyne. In one embodiment the wireless signal is frequency shifted by converting it to other representing signals (such as I/Q components) and forming the frequency-shifted signal from the representations. The system is may be used to increase in-door or outdoor coverage, as well as bridging between in-door and outdoor networks. The medium may use dedicated wiring or existing service wiring in a residence or building, including LAN, telephone, AC power and CATV wiring. The system (in whole or in part) may be enclosed as a stand-alone unit, housed in integrated form as part of a service outlet or as a snap-on/plug-in module. Methods and other systems with different advantageous configurations are also described. This abstract is not intended to limit or construe the scope or meaning of the claims.
Owner:CORNING OPTICAL COMM WIRELESS

Medical information extraction system and method based on depth learning and distributed semantic features

ActiveCN105894088AAvoid floating point overflow problemsHigh precisionNeural learning methodsNerve networkStudy methods
he invention discloses a medical information extraction system and method based on depth learning and distributed semantic features. The system is composed of a pretreatment module, a linguistic-model-based word vector training module, a massive medical knowledge base reinforced learning module, and a depth-artificial-neural-network-based medical term entity identification module. With a depth learning method, generation of the probability of a linguistic model is used as an optimization objective; and a primary word vector is trained by using medical text big data; on the basis of the massive medical knowledge base, a second depth artificial neural network is trained, and the massive knowledge base is combined to the feature leaning process of depth learning based on depth reinforced learning, so that distributed semantic features for the medical field are obtained; and then Chinese medical term entity identification is carried out by using the depth learning method based on the optimized statement-level maximum likelihood probability. Therefore, the word vector is generated by using lots of unmarked linguistic data, so that the tedious feature selection and optimization adjustment process during medical natural language process can be avoided.
Owner:神州医疗科技股份有限公司 +1

Automated traffic mapping using sampling and analysis

A system of mobile units are installed in multiple vehicles in traffic, the vehicles with mobile units being a sample of all vehicles in traffic. These mobile units include both wireless communications devices and apparatus that determines the location of each vehicle. Monitoring a vehicle's position as a function of time also reveals the velocity of the vehicle. Position and speed information is periodically broadcast by the vehicles to a central monitoring station and to neighboring vehicles. At the central monitoring station, the collective input from the sample set of vehicles is processed using statistical analysis methods to provide an instant chart of traffic conditions in the area, the accuracy of said chart being within a range determined by the size of the sample. Warnings of delays or updates on traffic conditions on the road ahead are then automatically returned to subscribers of the information or are used as part of an Intelligent Vehicle Highway System (IVHS). Neighboring vehicles within a region communicating with one another form a network in which the broadcast information is processed locally on the respective vehicles to estimate possible problems ahead and consider computing an alternate road and/or checking with the central monitoring station for more information. If out of range of the central monitoring station, the vehicles in the network form a local area network for the exchange and update of information, and when any vehicle in the network is within range of the central monitoring station, the local area network data is uploaded to help update the overall traffic information.
Owner:TOMTOM
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