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8th International Conference on Information Technology, ICIT 2017

作者： Gabi, Danlami Ismail, Abdul Samad Zainal, Anazida Zakaria, Zalmiyah Al-Khasawneh, Ahmad Department of Computer Science Faculty of Computing Universiti Teknologi Malaysia Skudai Johor81310 Malaysia Department of Computer Science Kebbi State University of Science and Technology Aliero Nigeria Department of Software Engineering Faculty of Computing Universiti Teknologi Malaysia Skudai Johor81310 Malaysia Computer and Information Systems Faculty of Prince Al-Hussein Bin Abdullah II of Information Technology Hashemite University Zarqa Jordan

ISBN: (纸本)9781509063321

In cloud computing, customers-desired Quality of Service (QoS) expectations are quite superficial due to lack of scalable task scheduling solutions that can adjust to long-time changes. Researchers in the literature have put forward several task scheduling algorithms to account for customers' QoS expectations. Unfortunately, most of these algorithms need improvements to ensure the provisioning of better consumers' QoS expectation. In this study, a Multi-Objective QoS model to address customers' expectation based on execution time and execution cost criteria is presented. A Cloud Scalable Multi-Objective Cat Swarm Optimization (CSO) based Simulated Annealing (SA) (CSM-CSOSA) algorithm is then proposed to solve the model. In this method, the Taguchi Orthogonal approach is used to enhanced the SA and incorporated into the local search of the proposed algorithm for enhancing it exploration capability. Implementation of the algorithm is carried out on CloudSim tool and evaluated using one dataset (Normal distributed) and one Parallel Workload (High-Performance Computing Center North(HPC2N)). Quantitative analysis of the algorithm performance is taken based on metrics of execution time, execution cost, QoS and percentage improvement. Result obtained is compared with that of Multi-Objective Genetic Algorithm (MOGA), Multi-Objective Ant Colony (MOSACO) and Multi-Objective Particle Swarm Optimization (MOPSO), where proposed method is able to return substantial performance with improved QoS. © 2017 IEEE.

关键词： Simulated annealing

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A conceptual model of e-learning based on cloud computing adoption in higher education institutions

A conceptual model of e-learning based on cloud computing ad...

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International Conference on Electrical and Computing Technologies and Applications (ICECTA)

作者： Qasim Al Ajmi Ruzaini Abdullah Arshah Adzhar Kamaludin Ali Safa Sadiq Mohammed A. Al-Sharafi Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Gambang Kuantan Pahang Malaysia Faculty of Computer Science & MIS Oman College of Management & Technology Barka Oman Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Gambang Kuantan Pahang Malaysia School of Information Technology Monash University Bandar Sunway Malaysia

ISBN: (纸本)9781538608739

Cloud computing refers to adopting advanced virtualized resources for high scalability that can be shared with end users. Utilization of this technology is expediting in the world to intensify the potential of cloud computing based on E-learning in higher education institutions. Due to various apparent reasons, some higher education institutions are disinclined to relocate internal services to cloud services. To develop a model for utilizing E-learning based on cloud computing is the focal point of this paper, which is based on two prominent theories: The Fit-Viability Model and Diffusion of Innovation, in addition to information culture factors. The main purpose of this model is to investigate the significant factors to exploit the cloud in the enhancement of E-learning in higher education institutions.

关键词： Cloud computing Computational modeling Electronic learning Technological innovation Organizations Information technology

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Review of deep convolution neural network in image classification

Review of deep convolution neural network in image classific...

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

作者： Ahmed Ali Mohammed Al-Saffar Hai Tao Mohammed Ahmed Talab Universiti Malaysia Pahang Kuantan Pahang MY Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pahang Malaysia

ISBN: (纸本)9781538638507

With the development of large data age, Convolutional neural networks (CNNs) with more hidden layers have more complex network structure and more powerful feature learning and feature expression abilities than traditional machine learning methods. The convolution neural network model trained by the deep learning algorithm has made remarkable achievements in many large-scale identification tasks in the field of computer vision since its introduction. This paper first introduces the rise and development of deep learning and convolution neural network, and summarizes the basic model structure, convolution feature extraction and pooling operation of convolution neural network. Then, the research status and development trend of convolution neural network model based on deep learning in image classification are reviewed, which is mainly introduced from the aspects of typical network structure construction, training method and performance. Finally, some problems in the current research are briefly summarized and discussed, and the new direction of future development is forecasted.

关键词： Convolution Feature extraction Biological neural networks Training Image recognition Image classification

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Multi-view hybrid embedding: A divide-and-conquer approach

arXiv

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arXiv 2018年

作者： Xu, Jiamiao Yu, Shujian You, Xinge Leng, Mengjun Jing, Xiao-Yuan Chen, C. L. Philip School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Department of Computer Science University of Houston HoustonTX77204 United States State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multi-view data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multi-view data is sampled from nonlinear manifolds or suffers from heavy outliers. To circumvent this drawback, motivated by the Divideand-Conquer strategy, we propose Multi-view Hybrid Embedding (MvHE), a unique method of dividing the problem of cross-view classification into three subproblems and building one model for each subproblem. Specifically, the first model is designed to remove view discrepancy, whereas the second and third models attempt to discover the intrinsic nonlinear structure and to increase discriminability in intra-view and interview samples respectively. The kernel extension is conducted to further boost the representation power of MvHE. Extensive experiments are conducted on four benchmark datasets. Our methods demonstrate overwhelming advantages against the stateof-the-art MvSL based cross-view classification approaches in terms of classification accuracy and robustness. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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Assessing self-efficacy and college readiness level among new undergraduate students in computer science using metacognitive awareness inventory (MAI)

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IOP Conference Series: Materials Science and engineering 2018年第1期342卷

作者： Wan Nor Afiqah Wan Othman Aziman Abdullah Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuh Raya Tun Razak 26300 Kuantan Pahang Malaysia.

This preliminary study was conducted to address the issue of academic planning skills among new university student. Due to lack of proper measurement mechanism for awareness and readiness among students, this study proposes Metacognitive Awareness Inventory (MAI) to assess the connection between student self-efficacy and college readiness. Qualitative and quantitative approach were used by provide an online self-assessment for new student of faculty of computer systems & software engineering (FSKKP) and analyse the data respectively. The possible relationships between MAI and College Readiness Item (CRI) in self-assessment has been evaluated. The sample size of 368 respondents from UMP are responding to the online self-assessment. The initial finding shows most student (71%) of the respondent lack of skills in planning. We manage to use Pearson Product-moment correlation coefficient to find the significant relationship between MAI and CRI. Thus, we found that College Readiness provide sufficient evidence that there is a significant correlation with most of MAI items. The findings also indicated not much difference was found between gender in terms of self-efficacy level. This paper suggests the MAI and CRI is a reliable and valid scale to respond the planning skills issues among new university students.

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Circular antenna array design for breast Cancer detection

arXiv

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arXiv 2018年

作者： Ouerghi, K. Fadlallah, N. Smida, A. Ghayoula, R. Fattahi, J. Boulejfen, N. Unit of Research in High Frequency Electronic Circuits and Systems Faculty of Mathematical Physical and Natural Sciences of Tunis Tunis El Manar University Tunisia RADIOCOM Institut of Technology saida P.O.Box 813 #36 Lebanon Department of Computer Science and Software Engineering Laval University Quebec Canada Research Center for Microelectronics and Nanotechnology Technopole Sousse Sousse4050 Tunisia

— —Microwave imaging for breast cancer detection is based on the contrast in the electrical properties of healthy fatty breast tissues. This paper presents an industrial, scientific and medical (ISM) bands comparative study of five microstrip patch antennas for microwave imaging at a frequency of 2.45 GHz. The choice of one antenna is made for an antenna array composed of 8 antennas for a microwave breast imaging system. Each antenna element is arranged in a circular configuration so that it can be directly faced to the breast phantom for better tumor detection. This choice is made by putting each antenna alone on the Breast skin to study the electric field, magnetic fields and current density in the healthy tissue of the breast phantom designed and simulated in Ansoft High Frequency Simulation software (HFSS). Copyright © 2018, The Authors. All rights reserved.

关键词： Microstrip antennas

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Mobile Cloud Computing with SOAP and REST Web Services

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Journal of Physics: Conference Series 2018年第1期1018卷 012005-012005页

作者： Mushtaq, Ali Mohamad Fadli Zolkipli Anwar, Shahid Jasni Mohamad Zain Faculty of Computer Systems & Software Engineering. Universiti Malaysia Pahang Gambang 26300 Malaysia Faculty of Computer & Mathematical Sciences Universiti Teknology MARA (UiTM) 40450 Shah Alam Selangor Malaysia

Mobile computing in conjunction with Mobile web services drives a strong approach where the limitations of mobile devices may possibly be tackled. Mobile Web Services are based on two types of technologies; SOAP and REST, which works with the existing protocols to develop Web services. Both the approaches carry their own distinct features, yet to keep the constraint features of mobile devices in mind, the better in two is considered to be the one which minimize the computation and transmission overhead while offloading. The load transferring of mobile device to remote servers for execution called computational offloading. There are numerous approaches to implement computational offloading a viable solution for eradicating the resources constraints of mobile device, yet a dynamic method of computational offloading is always required for a smooth and simple migration of complex tasks. The intention of this work is to present a distinctive approach which may not engage the mobile resources for longer time. The concept of web services utilized in our work to delegate the computational intensive tasks for remote execution. We tested both SOAP Web services approach and REST Web Services for mobile computing. Two parameters considered in our lab experiments to test; Execution Time and Energy Consumption. The results show that RESTful Web services execution is far better than executing the same application by SOAP Web services approach, in terms of execution time and energy consumption. Conducting experiments with the developed prototype matrix multiplication app, REST execution time is about 200% better than SOAP execution approach. In case of energy consumption REST execution is about 250% better than SOAP execution approach.

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SSERBC 2017: Sclera segmentation and eye recognition benchmarking competition

SSERBC 2017: Sclera segmentation and eye recognition benchma...

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2017 IEEE International Joint Conference on Biometrics, IJCB 2017

作者： Das, Abhijit Pal, Umapada Ferrer, Miguel A. Blumenstein, Michael Štepec, Dejan Rot, Peter Emeršič, Žiga Peer, Peter Štruc, Vitomir Kumar, S.V. Aruna Harish, B.S. Institute for Integrated and Intelligent Systems Griffith University QLD Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India IDeTIC University of Las Palmas de Gran Canaria Las Palmas Spain School of Software University of Technology Sydney Australia Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Department of Information Science and Engineering Sri Jayachamrajendra College of Engineering Mysusru Karnataka India

ISBN: (纸本)9781538611241

This paper summarises the results of the Sclera Segmentation and Eye Recognition Benchmarking Competition (SSERBC 2017). It was organised in the context of the International Joint Conference on Biometrics (IJCB 2017). The aim of this competition was to record the recent developments in sclera segmentation and eye recognition in the visible spectrum (using iris, sclera and peri-ocular, and their fusion), and also to gain the attention of researchers on this subject. In this regard, we have used the Multi-Angle Sclera Dataset (MASD version 1). It is comprised of2624 images taken from both the eyes of 82 identities. Therefore, it consists of images of 164 (82×2) eyes. A manual segmentation mask of these images was created to baseline both tasks. Precision and recall based statistical measures were employed to evaluate the effectiveness of the segmentation and the ranks of the segmentation task. Recognition accuracy measure has been employed to measure the recognition task. Manually segmented sclera, iris and peri-ocular regions were used in the recognition task. Sixteen teams registered for the competition, and among them, six teams submitted their algorithms or systems for the segmentation task and two of them submitted their recognition algorithm or systems. The results produced by these algorithms or systems reflect current developments in the literature of sclera segmentation and eye recognition, employing cutting edge techniques. The MASD version 1 dataset with some of the ground truth will be freely available for research purposes. The success of the competition also demonstrates the recent interests of researchers from academia as well as industry on this subject. © 2017 IEEE.

关键词： Competition

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Information Leakage Problem in High-Capacity Quantum Secure Communication with Authentication Using Einstein-Podolsky-Rosen Pairs

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Chinese Physics Letters 2016年第7期33卷 14-15页

作者：刘志昊陈汉武刘文杰 School of Computer Science and Engineering Southeast University Key Laboratory of Computer Network and Information Integration(Ministry of Education) Southeast University Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information TechnologyUniversity of Technology Sydney School of Computer and Software Nanjing University of Information Science & Technology

The information leakage problem often exists in bidirectional quantum secure direct communication or quantum dialogue. In this work, we find that this problem also exists in the one-way quantum secure communication protocol [Chin. Phys. Lett. 32 （2015） 050301]. Specifically, the first bit of every four-bit message block is leaked out without awareness. A way to improve the information leakage problem is given.

关键词： in or of is that with

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AIRSE: An approach for attack intention recognition based on similarity of evidences 1

AIRSE: An approach for attack intention recognition based on...

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1st EAI International Conference on computer Science and engineering, COMPSE 2016

作者： Ahmed, Abdulghani Ali Zaman, Noorul Ahlami Kamarul Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Pahang26300 Malaysia

ISBN: (纸本)9781631901362

Sensitive information can be exposed to critical risks when communicated through computer networks. The ability of attackers in hiding their attacks' intention obstructs existing protection systems to early prevent their attacks and avoid any possible sabotage in network systems. In this paper, we propose a similarity approach called Attack Intention Recognition based on Similarity of Evidences (AIRSE). In particular, the proposed approach AIRSE aims to recognize attack intention in real time. It classifies attacks according to their characteristics and uses the similar metric method to identify attacks motives and predict their intentions. In this study, attack intentions are categorized into specific and general intentions. General intentions are recognized by investigating violations against the security metrics of confidentiality, integrity, availability, and authenticity. Specific intentions are recognized by investigating the network attacks used to achieve a violation. The obtained results demonstrate that the proposed approach is capable of investigating similarity of attack signatures and recognizing the intentions of network attack.

关键词： Digital forensics

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