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Particle swarm optimization based resource allocation in orthogonal frequency-division multiplexing

Particle swarm optimization based resource allocation in ort...

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7th Asia International Conference on Mathematical modelling and Computer simulation, AMS 2013

作者： Lye, Scott Carr Ken Yew, Hoe Tung Chua, Bih Lii Chin, Renee Ka Yin Teo, Kenneth Tze Kin Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769551012

Current cellular wireless data communications require wide availability and satisfying quality of service to keep up with the rising number of wireless devices. It is challenging for the service provider to cater to different kinds of upcoming new services and applications as data rates vary apart in that respect. For that reason, it is of paramount importance to adaptively utilize the radio resources which are limited and valuable. The ability of Orthogonal Frequency-division Multiplexing Access (OFDMA) to split the entire bandwidth into smaller sub-carriers allows adaptive resource allocation to be performed in downlink communications. However, due to the time-varying nature of the wireless channel, not all links experience the same channel response. Therefore, this situation is akin to a strategic combination problem to find the best allocation out of the huge combinations according the current channel characteristics. This paper presents an evolutionary method, particle swarm optimization (PSO), to optimally allocate the rates and sub carriers to multiple users. The results display good convergences towards the optimal solution for a minimal transmit power allocation. At transmission intervals, the cellular base station will be able to use the best allocation relating to channel conditions of any point in time. © 2013 IEEE.

关键词： Orthogonal frequency division multiplexing

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Clustering algorithm in normalised cuts based image segmentation

Clustering algorithm in normalised cuts based image segmenta...

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7th Asia International Conference on Mathematical modelling and Computer simulation, AMS 2013

作者： Choong, Mei Yeen Khong, Wei Leong Chin, Renee Ka Yin Wong, Farrah Teo, Kenneth Tze Kin Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769551012

Normalised cut method has been effectively used for image segmentation by representing an image as weighted graph in global view. It does segmentation via partitioning the graphs into sub-graphs. Clustering algorithm is implemented such that sub-graphs with common similarities are grouped together into one cluster and separates sub-graphs that are dissimilar into distinctive clusters. Clustered segments from the normalised cuts are then produced. As the clusters initialisation gives influence to the segmentation result, optimisation of the clustering algorithm is implemented to achieve better segmentation. With the approach applied in the normalised cuts based image segmentation, the constraint of using normalised cuts algorithm in image segmentation can be alleviated. In this paper, evaluation of the clustering algorithm with the normalised cuts image segmentation on images has been carried out and the effect of different image complexity towards normalised cuts segmentation process is presented. © 2013 IEEE.

关键词： Image segmentation

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Dynamic Estimation of Power System Stability in Different Kalman Filter Implementations

Dynamic Estimation of Power System Stability in Different Ka...

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IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference

作者： H. H. Goh C. W. Tai Q. S. Chua S. W. Lee B. C. Kok K. C. Goh K. T. K. Teo Department of Electrical Power Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Department of Construction Management Faculty of Technology Management and Business Universiti Tun Hussein Onn Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Jalan UMS Universiti Malaysia Sabah

ISBN: (纸本)9781479925957

Voltage collapse is still the biggest threat to the transmission system. There are many approaches that have been explored to predict the point of voltage collapse. However, it is still lacking of information that related to current system state. With the advancement of Phasor Measurement Units (PMUs) technology, it provides an alternate pathway to improve the existing power system state estimation. Hence, it was of interest to develop better methods that could give a preliminary warning before the voltage collapse. This paper concerns for the development of real-time system monitoring methods to give a timely warning in the power system. The algorithm to predict the points of collapse is based on the assumption that voltage instability is closely related to the maximum load ability of a transmission network. Therefore, the Thevenin impedance is equalled to the apparent load impedance at the points of collapse. Numerous methods such as Discrete Kalman Filter (DKF), Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) are being implemented into the real-time voltage instability predictor to track the Thevenin parameters. The test results are tested on Malaysia's power system 132 kV - 2-bus and 10-bus systems. The results are compared based on the early-warning index of voltage collapse. The results of DKF method are set as the reference for comparison purpose between EKF method and UKF method. The test results shown that EKF method provided better results by decreasing of 0.1169 p.u. for 2-bus system and 0.0338 p.u. for 10-bus system. In the meanwhile, UKF method provided increasing values of 0.4262 p.u. for 2-bus system and 0.1522 p.u. for 10-bus system. The overall purpose of this research is to develop methods that in provide early warning for an emerging stability problem. In order to achieving the research's objectives, derivation of the index for early warning of the point of collapse is completed. The performance of each method used throughout this r

关键词： Kalman Filter Point of Collapse Real Time System Monitoring Thevenin Parameters

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Line Voltage Stability Indices Based on Precautionary Measure Approximation in Smart Grid

Line Voltage Stability Indices Based on Precautionary Measur...

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第11届创新与管理国际学术会议（ICIM2014）

作者： H.H.Goh Q.S.Chua S.W.Lee B.C.Kok K.C.Goh K.T.K.Teo Department of Electrical Power Engineering Faculty of Electrical and Electronic EngineeringUniversiti Tun Hussein Onn Malaysia Department of Construction Management Faculty of Technology Management and BusinessUniversiti Tun Hussein Onn Malaysia Modelling Simulation and Computing LaboratoryLevel 3Block CSchool of Engineering and Information TechnologyJalan UMSUniversiti Malaysia Sabah

Voltage stability and voltage collapse issues have in recent years begun to constitute an unpleasant warning to the operational security of power *** consequence,the significances to develop preferable methods that would provide a preliminary warning before the voltage collapse had grabbed the *** paper considered the implementation of real-time system monitoring methods that able to provide a timely warning in the power system before the voltage collapse *** line voltage stability indices such as line stability index(Lmn) and voltage collapse point indicator(VCPI) were executed to resolve their *** main intension is to recognize which index is most applicable for being adopted in power system control and security ***,the time-domain results were used to calculate the line stability indices and to ratify with voltage stability indices *** line stability indices were tested in the smaller IEEE 9-bus test case and a larger IEEE 30-bus test *** PowerWorld simulator was used to provide the time-domain ***,the results from the simulation were used to calculate the line stability indices by using *** the indices were found consistent with the theoretical *** order to differentiate the performance and the robustness of the indices,the line stability indices' accuracy was *** the results in IEEE 9-bus test case and IEEE 30-bus test case,VCPI was found to have the best accuracy performances in reflecting the stability of the power systems.

关键词： Power systems Voltage collapse Voltage stability Voltage stability indices

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Design and development of portable fuzzy logic based traffic optimizer

Design and development of portable fuzzy logic based traffic...

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IEEE ICCE-China Workshop (ICCE-China)

作者： Kenneteh Tze Kin Teo Kiam Beng Yeo Shee Eng Tan Zhan Wei Siew Kit Guan Lim Modelling Simulation & Computing Laboratory Universiti Malaysia Sabah Kota Kinabalu Malaysia

Traffic jam has become a common scene nowadays, due to the rapid increase of road users in the past few years. To solve this problem, the design of traffic control is required. Traffic control parameter can be determined from the traffic flow behavior of the traffic intersection. Currently, most of the traffic control system in Malaysia is using Webster Model, which its green time duration is pre-determined by collecting the data from the traffic intersection. Most of the waiting time at the intersection is wasted due to the constant green time duration. The aim of this paper is to optimize the average waiting time of a traffic intersection via a developed Fuzzy Logic traffic control system. Traffic light simulator hardware is built to deal with the difficulties of working in a real environment and to investigate the performance of the traffic control system. Conventional traffic control system, Webster Model and the Fuzzy Logic controller will be applied into the traffic signal simulator in order to investigate their performance.

关键词： Vehicles Fuzzy logic Mathematical model Traffic control Roads Green products Equations

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Clustering Algorithm in Normalised Cuts Based Image Segmentation

Clustering Algorithm in Normalised Cuts Based Image Segmenta...

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Asia International Conference on Modeling & simulation

作者： Mei Yeen Choong Wei Leong Khong Renee Ka Yin Chin Farrah Wong Kenneth Tze Kin Teo Modelling Simulation & Computing Laboratory Universiti Malaysia Sabah Kota Kinabalu Malaysia Universiti Malaysia Sabah Kota Kinabalu Sabah MY

关键词： Image segmentation Image color analysis Clustering algorithms Image edge detection Partitioning algorithms Minimization Weight measurement

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Particle Swarm Optimization Based Resource Allocation in Orthogonal Frequency-division Multiplexing

Particle Swarm Optimization Based Resource Allocation in Ort...

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Asia International Conference on Modeling & simulation

作者： Scott Carr Ken Lye Hoe Tung Yew Bih Lii Chua Renee Ka Yin Chin Kenneth Tze Kin Teo Universiti Malaysia Sabah Kota Kinabalu Sabah MY Modelling Simulation & Computing Laboratory Universiti Malaysia Sabah Kota Kinabalu Malaysia

关键词： Resource management OFDM Wireless communication Base stations Particle swarm optimization Heuristic algorithms Fading

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Adaptive Phase Synchronisation Algorithm for Collaborative Beamforming in Wireless Sensor Networks

Adaptive Phase Synchronisation Algorithm for Collaborative B...

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Asia International Conference on Modeling & simulation

作者： Chen How Wong Zhan Wei Siew Renee Ka Yin Chin Aroland Kiring Kenneth Tze Kin Teo Modelling Simulation & Computing Laboratory Universiti Malaysia Sabah Kota Kinabalu Malaysia Universiti Malaysia Sabah Kota Kinabalu Sabah MY

Collaborative beam forming (CB) is a cooperative technique that utilizes a group of distributed wireless nodes to collectively transmit a common message with proper phase weights to an intended direction. As a result, CB significantly extends the communication range of the sensor node in wireless sensor networks (WSNs). Each sensor node in CB has an independent local oscillator. It becomes a vital problem to achieve CB as the distributed nodes are unaware of their phase relationship. Therefore, an efficient phase synchronisation algorithm is needed as the distributed nodes are unaware of their phase relationship. In this paper, an iterative phase synchronisation algorithm using (1+1)-evolution strategy (ES) is proposed to achieve CB in WSNs. Evaluations have been carried out through simulation and the results show that the proposed algorithm is more energy efficient in comparison to the existing phase synchronisation algorithm.

关键词： Synchronization Array signal processing Receivers Wireless sensor networks simulation Algorithm design and analysis Radiation detectors

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Cluster heads distribution of wireless sensor networks via adaptive particle swarm optimization

Cluster heads distribution of wireless sensor networks via a...

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2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012

作者： Siew, Zhan Wei Wong, Chen How Chin, Chia Seet Kiring, Aroland Teo, Kenneth Tze Kin Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769548210

Wireless sensor networks consists of hundreds or thousands of sensor nodes supported by small capacity battery. For environmental monitoring purposes, sensor nodes must have high endurance capabilities. Therefore, selecting suitable cluster heads (CH) location becomes a challenging issue. In this work, cluster heads distribution based on adaptive particle swarm (PSO) is proposed. PSO is one of the swarm intelligence methods designed to find optimum solution by mimicking the behavior of bird flocking and fish schooling. Adaptive cognitive and social learning factor can achieve better convergence speed and particles reselection mechanism can reduce the chances of getting trapped in local maximum. The performance of the proposed method is compared with low energy adaptive cluster hierarchical (LEACH). simulation result shows that proposed method outperforms LEACH in terms of first node die (FND) round, total data received by base station and energy consume per round. © 2012 IEEE.

关键词： Sensor nodes

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Queue management for network coding in ad hoc networks

Queue management for network coding in ad hoc networks

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3rd International Conference on Intelligent Systems modelling and simulation, ISMS 2012

作者： Tan, S.E. Yew, H.T. Arifianto, M.S. Saad, I. Teo, K.T.K. Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769546681

Network Coding has been proven to be a method that will increase the throughput of network. Network coding will perform an XOR operation in the intermediate nodes to improve the throughput of the network. The simulation of network coding in AODV to search for the route to destination will be conducted in MATLAB. This paper introduces the development of simulation to illustrate the performance of network coding in wireless ad hoc network. The simulation will calculate the transmit packet time according to the size of the packet. Lastly, average network throughput performance between AODV network without network coding and network with network coding is shown and compared. © 2012 IEEE.

关键词： Network coding

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