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Automated Toll Collection System based on Vehicle Type Classification using Sparse-Filtered Convolutional Neural Networks with Layer-Skipping Strategy (SF-CNNLS)

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Journal of Physics: Conference Series 2018年第1期1061卷

作者： Suryanti Awang Nik Mohamad Aizuddin Nik Azmi Soft Computing & Intelligent System Research Group (SPINT) Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Pahang Malaysia

Automated Toll Collection System (ATCS) is one of the technologies to fulfill the Intelligent Transportation System's (ITS) aim in providing an efficient road and transportation infrastructure at the expressway. This paper is aimed to provide an accurate and efficient ATCS based on a vehicle type classification method rather than the current implementation of toll collection that rely on sensor-based and human observation. To fulfill the aim, we proposed to implement SF-CNNLS framework to extract vehicle's features and classify it into class 1 (passenger vehicle), class 2 (lorry) and class 4 (taxi). This ATCS is aimed to enhance the efficiency of the toll collection in Malaysia. The biggest challenge in this research is how to discriminate features of class 4 as a different class of class 1 since both classes have almost identical features. However, with our proposed method, we able to classify the vehicle with the average accuracy of 90.83 %. We tested our method using a frontal view of a vehicle from the self-obtained database (SPINT) taken using mounted-camera at the toll booth and compare the classification performance with a benchmark database named BIT.

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Enhancement the video quality forwarding Using Receiver-Based Approach(URBA) in Vehicular Ad-Hoc Network

Enhancement the video quality forwarding Using Receiver-Base...

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International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

作者： Omar A. Hammood Mohd Nizam Mohmad Kahar Muamer N. Mohammed Department of Computer Sciences Bayan University Erbil Iraq Universiti Malaysia Pahang Kuantan Pahang MY Faculty of Computer Systems and Software Engineering IBM Center of Excellence University Malaysia Pahang Pahang Malaysia

ISBN: (纸本)9781538638507

In Vehicular Ad-hoc Networks (VANETs), data routing is a major problem because of its quick change in topology and vehicular high mobility. VANETs are ad hoc wireless mobile networks which play important role in commercial applications and safety of public vehicular communications. The routing protocols that base on vehicular position are attracting much interest because of the availability and advancement of devices equipped with GPS. A major problem with VANETs is the frequent disruptions in the path of vehicles due to the high mobility of the participating vehicles. This can lead to the breaking of established links and result in low throughput, delay in service delivery, less overhead as well as low rate of delivery. In this paper, Using Receiver-Based Approach (URBA) is proposed. The proposed approach (URBA) compared to VANET, incorporates a potential receiver-based strategy which is traditionally better in performance and might achieve less delay in service delivery with a higher rate of delivery.

关键词： Delays Vehicular ad hoc networks Streaming media Trajectory Roads Safety

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Integration of GWO-LSSVM for time series predictive analysis 4

Integration of GWO-LSSVM for time series predictive analysis

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4th IET Clean Energy and Technology Conference, CEAT 2016

作者： Mustaffa, Zuriani Sulaiman, Mohd Herwan Yusob, Bariah Ernawan, Ferda Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pahang Malaysia Faculty of Electric and Electronic Engineering Universiti Malaysia Pahang Pahang Malaysia

ISBN: (纸本)9781785612381

The emergence of Statistical Learning Theory (SLT) based algorithm namely Least Squares Support Vector Machines (LSSVM) has evidenced its efficacy in solving regression and classification problems. In this study, LSSVM is employed as a predictor to predict water level. Accurate water levels modeling and prediction is vital for safety especially during the monsoon season. It is worth noting that, mitigating the effects of floods can be accomplished by using either structural or non-structural measures, or by a combination of both. Structural measures incorporated of engineering works, such as channelization or flood reservoirs which changes the shape of the flood hydrograph. On the other hand, non-structural measures such as flood warning scheme is intended to reduce the economic losses in a flood situation. In most cases, disaster prevention operation such flood warning scheme proved to be more efficient in mitigating the effects of major floods than structural measures. Thus, for this study, a hybrid algorithm of LSSVM with one of the recent bio-inspired optimization algorithm, namely Grey Wolf Optimizer (GWO-LSSVM) is presented for water level prediction. The GWO is utilized to optimize the parameters of LSSVM. The feasibility of GWO-LSSVM is compared against LSSVM optimized by Firefly Algorithm (FA-LSSVM) and single GWO. Findings of the study demonstrated that the GWO-LSSVM able to provide competitive results and able to perform well for the problem under study. © 2016 Institution of engineering and Technology. All rights reserved.

关键词： Optimization

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Joint product numerical range and geometry of reduced density matrices

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Science China(Physics,Mechanics & Astronomy) 2017年第2期60卷 9-17页

作者： Jianxin Chen Cheng Guo Zhengfeng Ji Yiu-Tung Poon Nengkun YU Bei Zeng Jie Zhou Joint Center for Quantum Information and Computer Science University of Maryland College Park 20740 USA Institute for Advanced Study Tsinghua University Beijing 100084 China Centre for Quantum Computation ＆ Intelligent Systems School of Software Faculty of Engineering and Information Technology University of Technology Sydney Sydney 2007 Australia State Key Laboratory of Computer Science.Institute of Software Chinese Academy of Sciences Beijing 100084 China Department of Mathematics Iowa State University Ames 50011-2140 USA Institute for Quantum Computing University of Waterloo Waterloo N2L 3G1 Canada Department of Mathematics ＆ Statistics University of Guelph Guelph N1G 2 W1 Canada Perimeter Institute for Theoretical Physics Waterloo N2L 2Y5 Canada

The reduced density matrices of a many-body quantum system form a convex set, whose three-dimensional projection is convex in R3. The boundary of may exhibit nontrivial geometry, in particular ruled surfaces. Two physical mechanisms are known for the origins of ruled surfaces： symmetry breaking and gapless. In this work, we study the emergence of ruled surfaces for systems with local Hamiltonians in infinite spatial dimension, where the reduced density matrices are known to be separable as a consequence of the quantum de Finetti＇s theorem. This allows us to identify the reduced density matrix geometry with joint product numerical range II of the Hamiltonian interaction terms. We focus on the case where the interaction terms have certain structures, such that a ruled surface emerges naturally when taking a convex hull of ∏. We show that, a ruled surface on sitting in ∏ has a gapless origin, otherwise it has a symmetry breaking origin. As an example, we demonstrate that a famous ruled surface, known as the oloid, is a possible shape of , with two boundary pieces of symmetry breaking origin separated by two gapless lines.

关键词： reduced density matrices quantum tomography numerical range quantum information oloid ruled surface

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A Review on Data Stream Classification

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Journal of Physics: Conference Series 2018年第1期1018卷

作者： A. A Haneen A. Noraziah Mohd Helmy Abd Wahab Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang 26300 Kuantan Pahang IBM Centre of Excellence Universiti Malaysia Pahang 26300 Kuantan Pahang Department of Computer Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia

At this present time, the significance of data streams cannot be denied as many researchers have placed their focus on the research areas of databases, statistics, and computer science. In fact, data streams refer to some data points sequences that are found in order with the potential to be non-binding, which is generated from the process of generating information in a manner that is not stationary. As such the typical tasks of searching data have been linked to streams of data that are inclusive of clustering, classification, and repeated mining of pattern. This paper presents several data stream clustering approaches, which are based on density, besides attempting to comprehend the function of the related algorithms; both semi-supervised and active learning, along with reviews of a number of recent studies.

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A case based reasoning decision support model for Green ITIS diffusion in collaborative enterprise

A case based reasoning decision support model for Green ITIS...

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2016 IEEE Conference on Open systems, ICOS 2016

作者： Anthony, Bokolo Abdul Majid, Mazlina Romli, Awanis Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang Kuantan26300 Malaysia

ISBN: (纸本)9781509026036

The change in climatic conditions has resulted to the decline of the environment and excess consumption of resources have put more pressure on IT practitioners to Green their business process in collaborative enterprise. Thus there is need to reduce environmental impacts of enterprise development life cycle. IT practitioners however, still face challenges in diffusion Green practices in their enterprise. They often implement new projects with different project requirements and characteristics. Therefore, it would be helpful if IT practitioners could refer to other similar Green cases when planning and implementing current projects. Thus this paper proposes a case based reasoning decision support model to provide case studies of similar Green cases projects and suggestions on how to diffuse sustainable practices in collaborative enterprise. The model can support IT practitioners in making decisions on Green practices that can be diffused in their enterprise process. This paper synthesis and extract secondary data from existing Green techniques and available Green tools. Our findings show that no tools or techniques have been proposed to cater these issues in collaborative enterprise domain. Thus the proposed model is a valuable tool for IT practitioners in collaborative enterprise. © 2016 IEEE.

关键词： Sustainable development

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Comparing discrete event and agent based simulation in modelling human behaviour at airport check-in counter 18th

Comparing discrete event and agent based simulation in model...

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18th International Conference on Human-computer Interaction, HCI International 2016

作者： Majid, Mazlina A. Fakhreldin, Mohammed Zuhairi, Kamal Z. Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Pahang26300 Malaysia Faculty of Computer Science and Information Systems Jazan University P.O. Box 114 Jizan Saudi Arabia

ISBN: (纸本)9783319395098

Simulation is a well-established technique that uses what-if scenario analysis tool in Operational Research (OR). Discrete Event Simulation (DES) and System Dynamics Simulation (SDS) are the predominant simulation techniques in OR. However, in recent time, a new simulation technique, namely Agent-Based Simulation (ABS) is gaining more attention in the modelling of human behaviour. This research focused on modelling the human behaviour using DES and a combination of DES/ABS. The contribution made by this paper is the information unveiled as a result of comparing DES and a combination of DES/ABS for modelling both human reactive and human proactive behaviour in service systems;such as check-in services in an airport. The results of our experiments show that, the level of reactiveness considered in the combined DES/ABS model has a big impact on the simulation outputs. Therefore, for service systems of the type under investigation, we would suggest the use of hybridized DES/ABS as the preferred analysis tool. © Springer International Publishing Switzerland 2016.

关键词： Discrete event simulation

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Physical origins of ruled surfaces on the reduced density matrices geometry

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Science China(Physics,Mechanics & Astronomy) 2017年第2期60卷 1-8页

作者： Ji-Yao Chen Zhengfeng Ji Zheng-Xin Liu Xiaofei Qi Nengkun Yu Bei Zeng Duanlu Zhou State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Beijing 100084 China Perimeter Institute for Theoretical Physics Waterloo N2L 2Y5 Canada Centre for Quantum Computation ＆ Intelligent Systems School of Software Faculty of Engineering and Information Technology University of Technology Sydney Sydney 2007 Australia State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing 100190 China Department of Physics Renmin University of China Beijing 100872 China Department of Mathematics Shanxi University Taiyuan 030000 China Institute for Quantum Computing University of Waterloo Waterloo N2L 3G1 Canada Department of Mathematics ＆ Statistics University of Guelph Guelph N1G 2W1 Canada Institute of Physics Chinese Academy of Sciences Beijing 100190 China

The reduced density matrices （RDMs） of many-body quantum states form a convex set. The boundary of low dimensional projections of this convex set may exhibit nontrivial geometry such as ruled surfaces. In this paper, we study the physical origins of these ruled surfaces for bosonic systems. The emergence of ruled surfaces was recently proposed as signatures of symmetry- breaking phase. We show that, apart from being signatures of symmetry-brealdng, ruled surfaces can also be the consequence of gapless quantum systems by demonstrating an explicit example in terms of a two-mode Ising model. Our analysis was largely simplified by the quantum de Finetti＇s theorem--in the limit of large system size, these RDMs are the convex set of all the symmetric separable states. To distinguish ruled surfaces originated from gapless systems from those caused by symmetry- breaking, we propose to use the finite size scaling method for the corresponding geometry. This method is then applied to the two-mode XY model, successfully identifying a ruled surface as the consequence of gapless systems.

关键词： ruled surfaces reduced density matrices bosonic system geometry

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Supplementary material for the information sciences paper: An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation

arXiv

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arXiv 2017年

作者： Zamli, Kamal Z. Din, Fakhrud Kendall, Graham Ahmed, Bestoun S. IBM Centre of Excellence Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Kuantan Pahang Darul Makmur26300 Malaysia School of Computer Science University of Nottingham Malaysia Campus Jalan Broga Semenyih Selangor Darul Ehsan43500 Malaysia Department of Computer Science Faculty of Electrical Engineering Czech Technical University Karlovo n'am. 13 Pracha 2121 Czech Republic

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A static approach towards mobile botnet detection 3

A static approach towards mobile botnet detection

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3rd International Conference on Electronic Design, ICED 2016

作者： Anwar, Shahid Zain, Jasni Mohamad Inayat, Zakira Haq, Riaz Ul Karim, Ahmad Jabir, Aws Naser Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Gambang Malaysia Computer Science and Information Technology University Malaya Kuala Lumpur Malaysia University of Engineering and Technology Peshawar Pakistan Computer Science and Information Technology University Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781509021604

The use of mobile devices, including smartphones, tablets, smart watches and notebooks are increasing day by day in our societies. They are usually connected to the Internet and offer nearly the same functionality, same memory and same speed like a PC. To get more benefits from these mobile devices, applications should be installed in advance. These applications are available from third party websites, such as google play store etc. In existing mobile devices operating systems, Android is very easy to attack because of its open source environment. Android OS use of open source facilty attracts malware developers to target mobile devices with their new malicious applications having botnet capabilities. Mobile botnet is one of the crucial threat to mobile devices. In this study we propose a static approach towards mobile botnet detection. This technique combines MD5, permissions, broadcast receivers as well as background services and uses machine learning algorithm to detect those applications that have capabilities for mobile botnets. In this technique, the given features are extracted from android applications in order to build a machine learning classifier for detection of mobile botnet attacks. Initial experiments conducted on a known and recently updated dataset: UNB ISCX Android botnet dataset, having the combination of 14 different malware families, shows the efficiency of our approach. The given research is in progress. © 2016 IEEE.

关键词： Android (operating system)

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