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Minimizing network coding nodes in multicast tree construction via genetic algorithm

Minimizing network coding nodes in multicast tree constructi...

引用

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

作者： Tan, Shee Eng Siew, Zhan Wei Chin, Yit Kwong Lye, Scott Carr Ken 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

Network coding is a method that increases network throughput by encoding several packets with single packet size length and forwards the packet in a single transmission time slot. At the same time, network coding increases the complexity of packets management and delay of network due to the waiting time for network coding opportunity. A solution based on improved genetic algorithm is proposed to optimize the network coding node resources in network coding. Genetic algorithm will search a multicast tree that fulfils the desired throughput with a desired multicast rate. Mutation rate of the genetic algorithm will change based on the previous solution to avoid from being stuck on the local optima. The simulation result shows that with given multicast rate, improved genetic algorithm is able to search and construct multicast tree with minimal usage of network coding nodes. © 2012 IEEE.

关键词： Genetic algorithms

来源：评论

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Performance analysis of utilizing coding nodes in wireless networks

Performance analysis of utilizing coding nodes in wireless n...

引用

2012 International Symposium on Telecommunication Technologies, ISTT 2012

作者： Tan, Shee Eng Siew, Zhan Wei Lye, Scott Carr Ken Yoong, Hou Pin Teo, Kenneth Tze Kin Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9781467347860

Network Coding is a method that effectively combines several packets from different sources and broadcasts the combined packet to several destinations in single transmission time slot. Each destination is capable to extract the intended information by decoding from a common packet. In short, network coding is a method that improves the throughput for wireless networks and wired networks. However, while it increases the throughput of networks, it also causes side effects such as complexity of packets management and increased delay for coding opportunity. In this paper, genetic algorithm is proposed to optimize the resources for network coding. Genetic algorithm will search for suitable routes to the destination according to the desired throughput with a desired multicast rate. The simulation results show that the average end to end delay of network after minimizing coding nodes is less than normal network coding. © 2012 IEEE.

关键词： Genetic algorithms

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Multistage image clustering and segmentation with normalised cuts

Multistage image clustering and segmentation with normalised...

引用

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

作者： Choong, M.Y. Liau, C.F. Mountstephens, J. Arifianto, M.S. 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

Normalised cuts algorithm requires massive similarity measurement computation for image segmentation. Since a digital camera at present has the capability to produce high resolution image, it will be inevitably that resizing image into suitable resolution at which the algorithm can perform image segmentation with minimal burden. While retaining the important features in the images, natural images are likely to be restricted for resizing them into a particular smaller resolution. Dividing an image into equal size of regions (named as image cells) for the segmentation is proposed here to solve the problem of missing important features when the image resolution is overly reduced. Gradually, the locally segmented clusters from the image cells are taken for second stage segmentation to merge them up globally. In this paper, experimental results using the mentioned method are shown. Experiment shows that it is capable to produce reasonable segmented clusters based on the proposed approach. © 2012 IEEE.

关键词： Image segmentation

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Foetus ultrasound medical image segmentation via variational level set algorithm

Foetus ultrasound medical image segmentation via variational...

引用

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

作者： Choong, M.Y. Seng, M.C. Yang, S.S. Kiring, A. 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

There is a challenge to segment the medical image which is often blurred and consists of noise. The objects to be segmented are always changing shape. Thus, there is a need to apply a method to automated segment well the objects for future analysis without any assumptions about the object's topology are made. In general, when performing pregnancy ultrasound scanning, obstetrician needs to find out the best position or angle of the foetus and freeze the scene. The obstetrician will click on the crown and the rump of the foetus to get the foetus length. The segmentation technique applied is level set method. A variational level set algorithm has been successfully implemented in medical image segmentation (Xray image, MRI image and ultrasound image). The results showed the level set contour evolved well on the low contrast and noise consisting medical image, especially the ultrasound image. © 2012 IEEE.

关键词： Image segmentation

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Image segmentation via normalised cuts and clustering algorithm

Image segmentation via normalised cuts and clustering algori...

引用

2012 IEEE International Conference on Control System, computing and Engineering, ICCSCE 2012

作者： Choong, Mei Yeen Kow, Wei Yeang Chin, Yit Kwong Angeline, Lorita Teo, Kenneth Tze Kin Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9781467331432

Image segmentation has been widely applied in image analysis for various areas such as biomedical imaging, intelligent transportation systems and satellite imaging. The main goal of image segmentation is to simplify an image into segments that have a strong correlation with objects in the real world. Homogeneous regions of an image are regions containing common characteristics and are grouped as single segment. One of the graph partitioning methods in image segmentation, normalised cuts, has been recognised producing reliable segmentation result. To date, normalised cuts in image segmentation of various sized images is still lacking of analysis of its performance. In this paper, segmentation on synthetic images and natural images are covered to study the performance and effect of different image complexity towards segmentation process. This study gives some research findings for effective image segmentation using graph partitioning method with computation cost reduced. Because of its cost expensive and it becomes unfavourable in performing image segmentation on high resolution image especially in online image retrieval systems. Thus, a graph-based image segmentation method done in multistage approach is introduced here. © 2012 IEEE.

关键词： Image segmentation

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Performance analysis of intelligent transport systems (ITS) with adaptive transmission scheme

Performance analysis of intelligent transport systems (ITS) ...

引用

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

作者： Lye, Scott Carr Ken Tan, Shee Eng Chin, Yit Kwong Chua, Bih Lii 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

Various means of modern transports have already taken the initiative to incorporate computing and communication technology. This cross field area is coined as intelligent transportation systems (ITS). Transport systems of the future require fast and precise monitoring to ensure safety of such systems is guaranteed. Thus, the communication aspect demands seamless and minimal error whilst delivering vital data. However, the dynamic surroundings always post a challenge to wireless communications, taking account into a myriad of interference such as multipath fading, shadowing, dispersing and path loss. Furthermore, there is also case of mobility. In this paper, the performance of wireless communications with adaptive modulation and coding in vehicular scenarios were compared against rigid transmission techniques. simulations were conducted over different mobility channel models against Signal-to-Noise ratio (SNR) to provide thorough analysis. Performance measure of Bit Error Rate (BER) and Packet Error Rate (PER) were used to provide understanding of the overall picture. © 2012 IEEE.

关键词： Intelligent systems

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Genetic algorithm based multivariable control for exothermic batch process

Genetic algorithm based multivariable control for exothermic...

引用

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

作者： Tan, Min Keng Chuo, Helen Sin Ee Tham, Heng Jin Farm, Yan Yan 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

Exothermic process is highly nonlinear and complex process. Large amount of heat will be released during the chemical reaction. As a result of the exothermic behaviour, the reaction may become unstable and consequently poses safety concern to the plant if the reactor temperature exceeds the cooling capacity. In the industrial point of view, heating is needed in order to speed up the reaction rate so that it can reduce the overall process reaction time. Hence, this paper proposes genetic algorithm (GA) to control the reaction temperature as well as to balance the production needs with the safety specification. GA exploits probabilistic search method to optimise the specific objective function based on evolutionary principle. simulation assessment of the GA has been carried out using a benchmark exothermic batch process model. The results show that GA is a good candidate in controlling the reactor temperature. © 2012 IEEE.

关键词： Genetic algorithms

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Performance of signal-to-noise ratio estimator with adaptive modulation

Performance of signal-to-noise ratio estimator with adaptive...

引用

6th Asia International Conference on Mathematical modelling and Computer simulation, AMS 2012

作者： Lye, Scott Carr Ken Arifianto, Mohammad Sigit Yew, Hoe Tung Liau, Chung Fan Teo, Kenneth Tze Kin Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769547305

Adaptive modulation techniques in wireless communications are paramount technologies designed to thrive in fading and noisy environments. Methods as such require an accurate estimate of the channel condition at the receivers' end in order for the transmitter to adapt appropriately. With that in mind, a communication link which changes the degree of modulation scheme according to the estimated signal-to-noise ratio (SNR) values is proposed. Hence, the objective of the system is to achieve acceptable quality in a changing communication link. In this paper, spectral efficiency and average bit error rate of the overall system is measured. Monte Carlo simulations of different signals and channel conditions corroborate our analysis and discussion. © 2012 IEEE.

关键词： Signal to noise ratio

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Graph-based image segmentation using k-means clustering and normalised cuts

Graph-based image segmentation using k-means clustering and ...

引用

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

作者： Choong, Mei Yeen Khong, Wei Leong Kow, Wei Yeang Angeline, Lorita 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

Image segmentation with low computational burden has been highly regarded as important goal for researchers. Various image segmentation methods are widely discussed and more noble segmentation methods are expected to be developed when there is rapid demand from the emerging machine vision field. One of the popular image segmentation methods is by using normalised cuts algorithm. It is unfavourable for a high resolution image to have its resolution reduced as high detail information is not fully made used when critical objects with weak edges is coarsened undesirably after its resolution reduced. Thus, a graph-based image segmentation method done in multistage manner is proposed here. In this paper, an experimental study based on the method is conducted. This study shows an alternative approach on the segmentation method using k-means clustering and normalised cuts in multistage manner. © 2012 IEEE.

关键词： Image segmentation

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Optimization of distributed and collaborative beamforming in wireless sensor networks

Optimization of distributed and collaborative beamforming in...

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

作者： Wong, Chen How Siew, Zhan Wei Tan, Min Keng 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)9780769548210

Collaborate beamforming in wireless sensor networks (WSNs) is a concept of using beamforming technology to establish link in the networks. It can effectively increase the transmission distance and improve the energy efficiency of the networks. Due to random deployment of the sensor nodes in the networks, proper assignment for the sensor nodes in wireless sensor networks is vital to achieve better array pattern synthesis. In this paper, a node selection method based on uniform space linear array synthesis is presented. A virtual line was constructed in the network topology as a reference guide to optimize the selection of nodes to mimic the uniform space linear array. The node selection for collaborate beamforming is further optimized using genetic algorithm. Using the method, simulation results show an improvement of radiation beam pattern. © 2012 IEEE.

关键词： Genetic algorithms

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