Ning Z.,Northeastern University China |
Guo L.,Northeastern University China |
Peng Y.,Northeastern University China |
Wang X.,Neusoft Corporation
Computers and Electrical Engineering | Year: 2012
Wireless mesh network (WMN) is a promising solution for last mile broadband internet access. Mesh nodes or mesh routers are connected via wireless links to form a multi-hop backbone infrastructure and improving throughput is the primary goal. While previous works mainly focused on either link level protocol design or complex mathematical model, in this paper, we investigate the performance gains from jointly optimizing scheduling and routing in a multi-radio, multi-channel and multi-hop wireless mesh network. Then, two optimization objectives are addressed by considering wireless media contention and spatial multiplexing. The first objective is to maximize throughput by exploiting spatial reuse while the second one is to ensure fairness among different links. We design a cross-layer algorithm by considering both MAC layer and network layer. Simulation results show that our joint optimization algorithm can significantly increase throughput as well as fairness. © 2012 Elsevier Ltd. All rights reserved. Source
Neusoft Corporation | Date: 2014-10-29
A system for securely entering particular information includes a mobile device and a background server. The mobile device includes a first area which is a non-secure environment, a second area which is a secure environment and a switching module implementing switchings between the first and second areas. At least one first application module for executing a business function application is provided in the first area. A second application module for executing a particular information entering application and an encryption module for encrypting entered particular information are provided in the second area. If a particular information entering is required by the first application module, the switching module triggers the second application module to perform the particular information entering, and returns, to the first application module, an encryption result obtained by encrypting the entered particular information. The background server includes an authentication module for authenticating the encryption result.
Neusoft Corporation | Date: 2014-12-08
A method and an apparatus for detecting a generalized passerby are provided, the method includes: acquiring an input image; determining whether a preset common feature of a wheel exists in the input image; selecting an image window at left side or right side or upper side of a center of a region where the preset common feature of the wheel is located in a case that the preset common feature of the wheel exists in the input image; inputting the selected image window into a preset upper-body classifier; detecting whether an upper body of a passerby exists in the selected image window and outputting a first detection result.
Neusoft Corporation | Date: 2012-06-28
An event detection method in a distributed environment includes, when a non-parsable event occurred during grammar parsing, executing the following process until the first grammar parser module obtains a detection result, including the event that the current grammar parser module can not parse in a scheduling request as a next event to be detected and sending it to the grammar control module, scheduling, by the grammar control module, other grammar parser module as the target grammar parser module for further parsing based on the scheduling strategy table, performing grammar parsing based on the local parsing table in the scheduled target grammar parser module, returning parsing results to the grammar control module for further parsing when no non-parsable event is found; or repeating the above process with the target grammar parser module as a new current grammar parser module when an non-parsable event is found.
Neusoft Corporation | Date: 2015-03-02
A method for detecting a target object in a blind area of a vehicle is provided by embodiments of the application. The method includes: acquiring at least one frame of an image generated by shooting a blind area of a vehicle by a shooting device; extracting an image feature of an area where at least one predetermined detection gate is located in the image; and matching the image feature of the area where the predetermined detection gate is located with a matching template of the predetermined detection gate to determine a target object. An apparatus for detecting a target object in a blind area of a vehicle is further provided by embodiments of the application.