The Experts below are selected from a list of 24 Experts worldwide ranked by ideXlab platform
James J Willis - One of the best experts on this subject based on the ideXlab platform.
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optimizing the use of technology in policing results and implications from a multi site study of the social organizational and behavioural aspects of implementing police technologies
Policing-an International Journal of Police Strategies & Management, 2014Co-Authors: Christopher S Koper, Cynthia Lum, James J WillisAbstract:Although technology holds great promise for improving policing, research on police technology is not well developed and raises questions about technology's impacts. This article presents selected results from a multi-agency study to improve understanding of both technology's effects on policing and the contextual aspects of policing that shape the uses and effectiveness of police technology. Focusing on selected technologies, the authors investigated these issues through interviews, focus groups, surveys, and other methods. Findings suggest that the effects of technology are complex and that technological advancements do not always produce obvious or easy improvements in productivity, communication, Cooperation, Management, or job satisfaction. Further, police often fail to make strategically optimal uses of technology for reducing crime and serving citizens. The article offers suggestions for organizational strategies, training, and research that may help police to improve their acquisition and use of technology.
Mahamod Ismail - One of the best experts on this subject based on the ideXlab platform.
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Intelligent Cooperation Management of multi-radio access technology towards the green cellular networks for the twenty-twenty information society
Telecommunication Systems, 2017Co-Authors: Mohammed H. Alsharif, Rosdiadee Nordin, Mahamod IsmailAbstract:An unprecedented increase in subscribers and demand for high-speed data are considered a critical step towards the new era of mobile wireless networks, i.e., Fifth Generation (5G), where the legacy mobile communication system will still be operational for a long time in the future. This has subsequently increased the overall energy consumption, operational costs and carbon footprint of cellular networks, due to increase the number of base stations (BSs), which consume the most energy. Switching BSs off/on in accordance with the traffic pattern variations is considered an effective method for improving energy efficiency. However, the main concerns from the network operators are the requirements to switched on/off the BSs, coverage issues and secured the radio service for the affected area. Hence, the main focus of this study is to develop an intelligent Cooperation Management (switch BSs on/off) within a multi-radio access technology (RAT) environment between a future generation 5G into the existing LTE and UMTS cellular network towards green cellular networks, while guaranteeing maximum cells coverage area during a switch off session. Particle swarm optimisation has been adopted in this study to maximize the cell coverage area under the constraints of the transmission power of the BS $$(P_{tx})$$ ( P t x ) , the total antenna gain ( G ), the bandwidth (BW), the signal-to-interference-plus-noise ratio (SINR), and shadow fading $$(\sigma )$$ ( σ ) . Moreover, the modulation and coding scheme, the data rate, and the energy efficiency are considered. The results have shown that by applying the proposed a dynamic multi-RAT BSs switching off $$\backslash $$ \ on strategy according to the traffic load variations, the daily energy savings of up to 42.3% can be achieved, with guaranteed maximum cells coverage area.
Tim Clarke - One of the best experts on this subject based on the ideXlab platform.
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transfer learning and Cooperation Management balancing the quality of service and information exchange overhead in cognitive radio networks
Transactions on Emerging Telecommunications Technologies, 2015Co-Authors: Qiyang Zhao, David Grace, Tim ClarkeAbstract:This paper introduces and studies a novel solution of transfer learning applied to spectrum Management in cognitive radio networks in order to improve the Quality of Service QoS and convergence performance of conventional full distributed learning. Cooperation Management has been investigated to enhance transfer learning as a novel way of reducing the need for control information exchange between distributed cognitive agents while providing the same effective QoS as that achieved in a fully coordinated network. A structured approach is taken to transfer learning, including a source agent selection function defining how the agents exchange learning information, and a target agent training function reinforcing the knowledgebase. It is demonstrated in simulation and analysis that transfer learning achieves a significantly higher QoS and throughput than distributed reinforcement learning. The Cooperation Management algorithm is shown to effectively reduce the need for information exchange by 90per cent whilst still providing adequate QoS compared with a fully coordinated network. Copyright © 2014 John Wiley & Sons, Ltd.
Christopher S Koper - One of the best experts on this subject based on the ideXlab platform.
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optimizing the use of technology in policing results and implications from a multi site study of the social organizational and behavioural aspects of implementing police technologies
Policing-an International Journal of Police Strategies & Management, 2014Co-Authors: Christopher S Koper, Cynthia Lum, James J WillisAbstract:Although technology holds great promise for improving policing, research on police technology is not well developed and raises questions about technology's impacts. This article presents selected results from a multi-agency study to improve understanding of both technology's effects on policing and the contextual aspects of policing that shape the uses and effectiveness of police technology. Focusing on selected technologies, the authors investigated these issues through interviews, focus groups, surveys, and other methods. Findings suggest that the effects of technology are complex and that technological advancements do not always produce obvious or easy improvements in productivity, communication, Cooperation, Management, or job satisfaction. Further, police often fail to make strategically optimal uses of technology for reducing crime and serving citizens. The article offers suggestions for organizational strategies, training, and research that may help police to improve their acquisition and use of technology.
Mohammed H. Alsharif - One of the best experts on this subject based on the ideXlab platform.
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Intelligent Cooperation Management of multi-radio access technology towards the green cellular networks for the twenty-twenty information society
Telecommunication Systems, 2017Co-Authors: Mohammed H. Alsharif, Rosdiadee Nordin, Mahamod IsmailAbstract:An unprecedented increase in subscribers and demand for high-speed data are considered a critical step towards the new era of mobile wireless networks, i.e., Fifth Generation (5G), where the legacy mobile communication system will still be operational for a long time in the future. This has subsequently increased the overall energy consumption, operational costs and carbon footprint of cellular networks, due to increase the number of base stations (BSs), which consume the most energy. Switching BSs off/on in accordance with the traffic pattern variations is considered an effective method for improving energy efficiency. However, the main concerns from the network operators are the requirements to switched on/off the BSs, coverage issues and secured the radio service for the affected area. Hence, the main focus of this study is to develop an intelligent Cooperation Management (switch BSs on/off) within a multi-radio access technology (RAT) environment between a future generation 5G into the existing LTE and UMTS cellular network towards green cellular networks, while guaranteeing maximum cells coverage area during a switch off session. Particle swarm optimisation has been adopted in this study to maximize the cell coverage area under the constraints of the transmission power of the BS $$(P_{tx})$$ ( P t x ) , the total antenna gain ( G ), the bandwidth (BW), the signal-to-interference-plus-noise ratio (SINR), and shadow fading $$(\sigma )$$ ( σ ) . Moreover, the modulation and coding scheme, the data rate, and the energy efficiency are considered. The results have shown that by applying the proposed a dynamic multi-RAT BSs switching off $$\backslash $$ \ on strategy according to the traffic load variations, the daily energy savings of up to 42.3% can be achieved, with guaranteed maximum cells coverage area.