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Social sensing enhanced time estimation for bus service

Concurrency and Computation: Practice and Experience 2015年第15期27卷

作者： Jin Liu Juan Li Xiaohui Cui Xiaoguang Niu Xiaoping Sun Jing Zhou State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China International School of Software Wuhan University Wuhan China Computer School Wuhan University Wuhan China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science Communication University of China China

The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEA s and road condition attributions PRCA s. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEA s of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. Copyright © 2015 John Wiley & Sons, Ltd.

关键词： social sensing in-time bus service bus route arrival time estimation

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Comparison of Particle Swarm Optimization algorithms in Wireless Sensor Network node localization

Comparison of Particle Swarm Optimization algorithms in Wire...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Cen Cao Qingjian Ni Xushan Yin School of Computer Science and Engineering Southeast University Nanjing China College of Software Engineering Southeast University Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

The node localization in Wireless Sensor Network (WSN) presently plays an important role in the field of applications. Particle Swarm Optimization (PSO) algorithm is a typical swarm intelligence method. Researchers propose many PSO variants and try to apply PSO algorithm to the related problems in WSN. This paper focuses on the WSN node localization using PSO algorithm. This paper conducts the experiment simulation, comparison and evaluation work in the node localization using PSO algorithm. The performance of different PSO variants with different population topologies is analyzed. Experiment simulations show that WSN node localization using PSO algorithm can get good performance in ring topology and square topology. In particular, the two newly proposed PSO variants (GDPSO and LDPSO) have good performance on this problem. This paper proposes some useful conclusions, which will provide a valuable reference to WSN engineering field.

关键词： Topology Wireless sensor networks Sociology Statistics Heuristic algorithms Particle swarm optimization Standards

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A new dynamic probabilistic Particle Swarm Optimization with dynamic random population topology

A new dynamic probabilistic Particle Swarm Optimization with...

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Congress on Evolutionary Computation

作者： Qingjian Ni Cen Cao Xushan Yin College of Software Engineering Southeast University Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China School of Computer Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781479914869

Population topologies of Particle Swarm Optimization algorithm (PSO) have direct impacts on the information sharing amony particles during the evolution, and will influence the PSO algorithms' performance obviously. The canonical PSO algorithms usually use static population topologies, and the majority are the classic population topologies (such as fully connected topology and ring topology). In this paper, we present the strategies of dynamic random topology based on the random generation of population topologies. The basic idea is as follows: various random topologies are used at different stages of evolution in the population, and the solving performance of PSO algorithms is enhanced by improving the information exchange of population in different evolutionary stages. This provides a new way of thinking for the improvement of the PSO algorithm. Experimental results on a relatively new variant of dynamic probabilistic particle swarm optimization show that our strategies can achieve better performance compared with traditional static population topologies. Experimental data are analyzed and discussed in the paper, and the useful conclusions will provide a basis for further research.

关键词： Topology Sociology Statistics Heuristic algorithms Equations Mathematical model Particle swarm optimization

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An energy efficient cluster-based routing protocol for intelligent environmental monitoring system

An energy efficient cluster-based routing protocol for intel...

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International Conference on Systems and Informatics (ICSAI)

作者： Dapeng Cheng Yingjie Song Yanyan Mao Xiangrong Wang School of Computer Science and Technology Shandong Institute of Business and Technology Yantai China College of Information Science and Engineering Shandong University of Science and Technology Qingdao China Key Laboratory of Intelligent Information Processing in Universities of Shandong (Shandong Institute of Business and Technology) Yantai china

ISBN: (纸本)9781479954599

Routing is a basic service for intelligent environmental monitoring system. However, traditional routing protocols cause unnecessary energy consumption due to the high communication overhead. In this paper, we proposed RERP, an energy efficient cluster-based routing protocol for intelligent environmental monitoring system. RERP improves LEACH protocol by limiting the selection range of cluster head. RERP also achieves reasonable cluster head election by considering residual energy, relative density and centroid distance. Simulation results show that RERP can save 54 th percentile energy more than LEACH after 2000 clustering rounds. When the network size is 500, RERP can still guarantee 99.6% nodes alive after 2000 clustering rounds.

关键词： Wireless sensor networks Artificial intelligence Clustering algorithms Nominations and elections Routing protocols Environmental monitoring

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Block-Based Salient Region Detection Using a New Spatial-Spectral-Domain Contrast Measure

Block-Based Salient Region Detection Using a New Spatial-Spe...

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IEEE International Symposium on Multimedia

作者： Nan Mu Xin Xu Li Chen Jing Tian Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781479943104

Visual saliency is an important cue in human visual system, it can identify salient region in image. Image contrast has been utilized as an effective feature to detect the salient region. The conventional contrast measures utilize both spectral and spatial properties of image in many salient region detection methods. However, they only consider the local characteristics of image region, consequently, the global characteristics are neglected. This paper presented a new contrast measure by exploiting both local and global characteristics of image regions. Furthermore, the proposed measure is utilized to perform salient region detection in image. Experiments are conducted on the MSRA test database to compare the performance of the proposed approach with the state-of-the-art salient region detection algorithms.

关键词： Spectral analysis computer vision Visualization Computational modeling Pattern recognition Databases Image color analysis

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LDDP: A location-based directed diffusion routing protocol for smart home sensor network

LDDP: A location-based directed diffusion routing protocol f...

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International Conference on Systems and Informatics (ICSAI)

ISBN: (纸本)9781479954599

Directed diffusion protocol enables data-centric routing for smart home sensor network. However, traditional directed diffusion protocol makes all nodes participating in the routing process. This causes a lot of redundant data transmission which brings unnecessary energy consumption. In this paper, we proposed LDDP, a location-based directed diffusion routing protocol for smart home sensor network, which reduces the number of nodes involved in data forwarding by room-based partitioning algorithm. Simulation results show that LDDP has better scalability than traditional DDP. LDDP can save 76 th percentile energy when the node number is 200 and the transmission times is 5000. When the network size is 250, LDDP can also brings 40kb/s network throughput gain than traditional DDP.

关键词： Smart homes Wireless sensor networks Routing protocols Routing Energy consumption Educational institutions Data communication

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Research on the laser transmission simulation based on random phase screen in atmospheric turbulent channel

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computer Modelling and New Technologies 2014年第7期18卷 344-349页

作者： Feng, Yanli Li, Dashe Liu, Shue Department of Computer Foundation Studies Shandong Institute of Business and Technology China Key Laboratory of Intelligent Information Processing Universities of Shandong Shandong Institute of Business and Technology China School of Computer Science and Technology Shandong Institute of Business and Technology China School of Computer Science and Technology Binzhou Medical University China

On the basis of collimated Gaussian beams, the paper focused on the modelling and simulating of the transmission of laser beams using two-dimension random phase screens in the atmospheric turbulence channel. Firstly, with the analysis of the transmission model of Gaussian beams through the phase screens, the simulation theory of random phase screens and the depth range model of the phase screens were proposed. Then, In accordance with Kolmogorov atmospheric turbulence theories, a two-dimension random phase screen was built using Fourier transform. Numerical simulation experiments were conducted with low frequency compensation to simulate the propagation of Gaussian collimated beam in Kolmogorov turbulence. Finally, the two-dimension random phase screen was testified by the phase structure function. The results showed that the approach of simulating the random phase screen using Fourier transform was appropriate after compensating the low frequency.

关键词： Gaussian beams

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An optimized texture-by-numbers synthesis method and its visual applications

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Science China(information Sciences) 2013年第5期56卷 50-63页

作者： FAN Jing SHI XiaoYing ZHOU Zhan TANG Ying School of Computer Science and Technology Zhejiang University of Technology Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province School of Information Engineering Zhejiang University of Technology

The framework of texture-by-numbers(TBN) synthesizes images of global-varying patterns with intuitive user *** TBN synthesis methods have difficulties in achieving high-quality synthesis results and efficiency *** paper proposes a fast TBN synthesis method based on texture optimization,which uses global optimization to solve the controllable non-homogeneous texture synthesis *** algorithm produces high quality synthesis results by combining texture optimization into TBN framework with two *** initialization process is adopted to generate the initial output of the global optimization algorithm,which speeds up the algorithm’s convergence rate and enhances synthesis *** distance metrics to measure image similarities are specifically designed for different images to better match human visual perception for structural patterns and a user study is conducted to verify the effectiveness of the *** further improve the synthesis speed,the algorithm is entirely implemented on GPU based on CUDA *** optimized TBN method is applied to various visual applications including not only traditional TBN applications,but also image in-painting and texture-based flow *** experimental results show that our method synthesizes images of higher or comparable qualities with higher efficiency than other state-of-art synthesis methods.

关键词： texture-by-number texture optimization feature synthesis CUDA

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Coverage Enhancement Strategy Based on Novel Perception and Co-evolution for Multimedia Sensor Networks

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电子学报(英文版) 2013年第1期22卷 135-140页

作者： XIAO Fu WANG Jing SUN Lijuan WANG Ruchuan GUO Jian College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

Coverage enhancement is one of the hot research topics in wireless multimedia sensor net- works. A novel Coverage-enhancing algorithm based on three-dimensional Directional perception and co-evolution (DPCCA) is proposed in multimedia sensor networks on the basis of the model whose pitch angle and deviation angle can be adjusted. Based on the proposed elliptical cone sensing model, we can derive the coverage area of the node and calculate the optimal pitch angle according the information of monitoring area and the nodes, and then the deviation angle is optimized based on co-evolution al- gorithm, which eliminate the overlapped and blind sensing area effectively. A set of simulations demonstrate the ef- fectiveness of our algorithm in coverage ratio.

关键词：无线多媒体传感器网络网络覆盖协同进化感知增强算法网络工程测量模型

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New logistics distribution route dispatching mode based on genetic algorithm-ant colony algorithm

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computer Modelling and New Technologies 2014年第10期18卷 313-318页

作者： Yi, Fasheng Li, Xiaoling Yuan, Jimin School of Computer Science and Technology Chengdu University Chengdu China University Key Laboratory of Pattern Recognition and Intelligent information Processing Chengdu China The Department Computer Engineering Chengdu Aeronautic Vocational and Technical College Chengdu China

For multi-target route optimization with constraint conditions, the mathematical model for logistics distribution route optimization is built to accelerate response speed of logistics enterprises to customers, improve service quality, and strengthen the satisfaction of customers, and a new algorithm with the combination of genetic and ant colony algorithms is proposed to solve the selection issues of such logistics route. Initial pheromone is formed with genetic algorithm, based on which the optimal solution is rapidly sought with ant colony algorithm, and complementary advantages are achieved between above two algorithms. Application examples and simulations are available for calculation, and the results show that such algorithm is practical and effective to optimize logistics distribution route.

关键词： Genetic algorithms

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