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作者： Roslina, M.S. Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang MEC City 26300Gambang Kuantan Pahang Malaysia

ISBN: (纸本)9780791802977

Learning process is very important in academic industry. Students are the person that will give their service to the country after they graduated. As an academician, lecturer responsible in making sure their students are having skills that needed by industry. The industry in Malaysia always complaint that Malaysian student are having no skill. So, with this problem, we applied problem-based learning method to make our students can solve whatever problem given by superior, critical thinking in solving the problem, can work independence and minimized supervision and others. The PBL method was introduced to the faculty of computer systems and software engineering (FSKKP) second year students in the Bachelor of software engineering. The subject is Formal Methods 3 credit hours. The number of students is 88. We analyzed 88 students' assignment to see their performance of construction of formal specification. Using this method help student in gain skill that required by the industry at the same time to construct formal specifications. This approach can train our student more critical thinking, independent, confidence, developed team working and others.

关键词： Students

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Neural network based switch beam smart antenna

Neural network based switch beam smart antenna

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2014 International Conference on IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2014

作者： Orakwue, Stella I. Ngah, Razali Rahman, T.A. Mohd Hashim, Siti Zaiton Skudai Johor81310 Malaysia Department of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Skudai81310 Malaysia

ISBN: (纸本)9781479937110

A neural network based switched beam smart antenna has been proposed. A feed-forward back propagation artificial neural network (FFBPANN) was applied in antenna beam switching. The network takes samples of the calibration of the footprint of the base station, in terms of azimuth and elevation angle, and maps it to the radiation pattern of different base station antenna arrays covering the area. It was treated as a classification problem. The developed methodology was tested for a 4×4 Butler matrix and the result obtained shows an improvement in the performance of beam switching. The developed network can be used to switch different antennas of the base stations depending on the position of the target. © 2014 IEEE.

关键词： Butler matrix

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Heart Disease Diagnosis System Using Fuzzy Logic

Heart Disease Diagnosis System Using Fuzzy Logic

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2018年第七届软件与计算机应用国际会议

作者： Hasan Kahtan Kamal Z.Zamli Wan Nor Ashikin Wan Ahmad Fatthi Azma Abdullah Mansoor Abdulleteef Noor Shahaiyusniezam Kamarulzaman Faculty Computer Systems &Software Engineering Universit Malaysia Faculty Computer Systems &Software Engineering Universiti Malaysia Universiti Teknologi MARA Cawangan Selangor Faculty Computer Systems & Software Engineering Universiti Malaysia

Treating people with ill health is a major problem in developed and underdeveloped countries. Most of these countries allocate a considerable portion of their budgets to ensuring that their citizens are healthy. However, countries remain unable to meet the demand for ideal medical services of their citizens because of the shortage of medical expertise in various hospitals. Medical diagnosis systems have been widely applied to diagnosing the symptoms of diseases such as cancer and diabetes. However, the analysis tools and methods are insufficient for identifying hidden relationships in the symptoms of coronary heart disease（CHD）. Consequently, the ratio of people who suffer from this disease is growing rapidly;12 million deaths each year are attributed to CHD. Meanwhile, the complex interdependency on various symptoms of this ailment indicates the difficulties in diagnosing CHD at an early stage. Furthermore, the diagnosis of CHD is a complex task that requires precision and effectiveness. Doctors do not have adequate time to devote to each case and encounter difficulties in keeping abreast of the newest application developments. Many alternative methods have been suggested for medical diagnosis in the healthcare domain. However, evaluating the functionality of CHD diagnosis systems remains challenging. Therefore, this study aims to develop a system that diagnoses CHD via fuzzy logic and evaluate the functionality of the proposed diagnostic CHD system. This study contributes to the healthcare domain as the developed system can assist doctors in accurately diagnosing when CHD symptoms have an ambiguous relationship. Therefore, the developed system will decrease doctors’ workloads during consultations.

关键词： Coronary heart disease fuzzy logic health care coronary heart disease diagnose system

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A Novel Multiobjective Fireworks Algorithm and Its Applications to Imbalanced Distance Minimization Problems

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IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1476-1489页

作者： Shoufei Han Kun Zhu MengChu Zhou Xiaojing Liu Haoyue Liu Yusuf Al-Turki Abdullah Abusorrah College of Computer Science and Technology Nanjing University of Aeronautics and Astronauticsand also with the Collaborative Innovation Center of Novel Software Technology and IndustrializationNanjing 211106China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewark NJ 07102 USA Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of Engineeringand also with the K.A.CARE Energy Research and Innovation CenterKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Recently,multimodal multiobjective optimization problems(MMOPs)have received increasing *** goal is to find a Pareto front and as many equivalent Pareto optimal solutions as *** some evolutionary algorithms for them have been proposed,they mainly focus on the convergence rate in the decision space while ignoring solutions *** this paper,we propose a new multiobjective fireworks algorithm for them,which is able to balance exploitation and exploration in the decision *** first extend a latest single-objective fireworks algorithm to handle *** we make improvements by incorporating an adaptive strategy and special archive guidance into it,where special archives are established for each firework,and two strategies(i.e.,explosion and random strategies)are adaptively selected to update the positions of sparks generated by fireworks with the guidance of special ***,we compare the proposed algorithm with eight state-of-the-art multimodal multiobjective algorithms on all 22 MMOPs from CEC2019 and several imbalanced distance minimization *** results show that the proposed algorithm is superior to compared algorithms in solving ***,its runtime is less than its peers'.

关键词： Adaptive strategy fireworks algorithm multimodal multiobjective optimization problems(MMOP)

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Possibilities about the design Lean canvas model and its adaptation in the agile testing

Possibilities about the design Lean canvas model and its ada...

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2017 Symposium for Young Scientists in Technology, engineering and Mathematics, SYSTEM 2017

作者： Nidagundi, Padmaraj Novickis, Leonids Faculty of Computer Science and Information Technology Institute of Applied Computer Systems Riga Technical University Riga Latvia Head of the Division of Software Engineering Faculty of Computer Science and Information Technology Riga Technical University Riga Latvia

software development industry is inventing new development methodologies in last 10 years for improving the existing developing tools, process and delivering a high-quality software to end customer in short time. In recent year's waterfall development becomes less attractive in the software industry and shifted its attention towards the new software development methodologies such as agile. Agile brought the new dimension to software development and improved the development, testing process and added new challenges. There are different agile development methodologies in practice such as Scrum, FDD, Kanban, DSDM, XP, ASD, Lean, and Crystal, all these have different approaches in software development but share the same principle of the agile. Nowadays software development process adopted a new number of software tools in the overall process of development and software testing also moved towards the more automation to deploy, validate and verify the software code as early possible. In recent years, lean canvas is used for the planning and validating the business model and this paper will bring more focus on the lean canvas model design adaptation in agile software test strategy building, test planning and guiding the test team to work fast. Copyright © 2017 held by the authors.

关键词： software testing

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Opinion Formation and Social Impact in Networks with Natural and Artificial Intelligence systems 16

Opinion Formation and Social Impact in Networks with Natural...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Tsarev, Dmitriy Avdyushina, Anna Alodjants, Alexander Itmo University Institute of Advanced Data Transfer Systems St. Petersburg Russia Itmo University Faculty of Software Engineering and Computer Systems St. Petersburg Russia

ISBN: (纸本)9798350337907

We suggest a new quantum-like approach to study distributed intelligence systems (DIS) consisting of natural (owners) and artificial (avatars) intelligence agents organized in a scale-free network. We demonstrate the complex features of social impact in DIS that imply the hierarchical formation of opinion leaders in the network and their topological protection. We elucidated the effect of significant narrowing of the spread of opinions within the network when most owners chose their position as limiting (extreme). © 2023 IEEE.

关键词： Multi agent systems

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Artificial intelligent strategy to control heart rate variability

Artificial intelligent strategy to control heart rate variab...

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2010 International Conference on Electronic computer Technology, ICECT 2010

作者： Beg, A.H. Ahmad, Noraziah Khan, Nawsher Alla, Ahmed N. Abd Nubli, Muhammad Lovely, A.K. Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pahang Malaysia Faculty of Electric and Electronics Engineering Universiti Malaysia Pahang Pahang Malaysia Faculty of Technology Management Universiti Malaysia Pahang Pahang Malaysia

ISBN: (纸本)9781424474059

This research proposes a new artificial intelligence strategy to enhance software games based on heart rate variability. The model consists of two modules (visual learning and IQ test) that will conjoined with a biofeedback device connected to a computer to monitor student heart rate and record its changes in a stressful situation and generate appropriate reports. By playing these two games student will be able to improve their learning capability and control their heart rate variability. ©2010 IEEE.

关键词： Biofeedback

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Fusion of speech and handwritten signatures biometrics for person identification

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International Journal of Speech Technology 2023年第4期26卷 833-850页

作者： Abushariah, Ahmad A. M. Abushariah, Mohammad A. M. Gunawan, Teddy Surya Chebil, J. Alqudah, Assal A. M. Ting, Hua-Nong Mustafa, Mumtaz Begum Peer Faculty of Engineering University of Malaya Kuala Lumpur50603 Malaysia Department of Computer Information Systems King Abdullah II School of Information Technology The University of Jordan Amman Jordan ECE Department Faculty of Engineering International Islamic University Malaysia Kuala Lumpur53100 Malaysia Department of Computer Science Faculty of Science and Information Technology Al-Zaytoonah University of Jordan Amman Jordan Department of Biomedical Engineering Faculty of Engineering University of Malaya Kuala Lumpur50603 Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur50603 Malaysia

Automatic person identification (API) using human biometrics is essential and highly demanded compared to traditional API methods, where a person is automatically identified using his/her distinct characteristics including speech, fingerprint, iris, handwritten signatures, and others. The fusion of more than one human biometric produces bimodal and multimodal API systems that normally outperform single modality systems. This paper presents our work towards fusing speech and handwritten signatures for developing a bimodal API system, where fusion was conducted at the decision level due to the differences in the type and format of the features extracted. A data set is created that contains recordings of usernames and handwritten signatures of 100 persons (50 males and 50 females), where each person recorded his/her username 30 times and provided his/her handwritten signature 30 times. Consequently, a total of 3000 utterances and 3000 handwritten signatures were collected. The speech API used Mel-Frequency Cepstral Coefficients (MFCC) technique for features extraction and Vector Quantization (VQ) for features training and classification. On the other hand, the handwritten signatures API used global features for reflecting the structure of the hand signature image such as image area, pure height, pure width and signature height and the Multi-Layer Perceptron (MLP) architecture of Artificial Neural Network for features training and classification. Once the best matches for both the speech and the handwritten signatures API are produced, the fusion process takes place at decision level. It computes the difference between the two best matches for each modality and selects the modality of the maximum difference. Based on our experimental results, the bimodal API obtained an average recognition rate of 96.40%, whereas the speech API and the handwritten signatures API obtained average recognition rates of 92.60% and 75.20%, respectively. Therefore, the bimodal API system is a

关键词： Biometrics

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Combinatorial Test Suite Generation Strategy Using Enhanced Sine Cosine Algorithm 5th

Combinatorial Test Suite Generation Strategy Using Enhanced ...

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5th International Conference on Electrical, Control and computer engineering, InECCE 2019

作者： Zamli, Kamal Z. Din, Fakhrud Nasser, Abdullah B. Alsewari, AbdulRahman Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang KuantanPahang26300 Malaysia Department of Computer Science & IT University of Malakand Dir Lower ChakdaraKPK Pakistan

ISBN: (纸本)9789811523168

Owing to its simplicity and having no control parameters, the Sine Cosine Algorithm (SCA) has attracted much attention among researchers. Although useful, the SCA algorithm adopts a linear magnitude update to determine its sine or cosine position updates. In the actual searching process, the magnitude update is rarely linear. In fact, the magnitude update is also non-exponential and is highly dependent on the problem domain and its search topology. For this reason, our work proposes a combination of linear and exponential magnitude update for the search displacement. In doing so, we adopt the combinatorial testing problem as our case study. Combinatorial testing strategies generate test data which cover all required interactions among parameter values of a system-under-test in order to explore interaction faults. Our evaluation gives promising results on the improved performance over the original SCA algorithm. As far as test data generation time is concerned, the enhanced SCA outperformed all its counterparts, whereas its results in terms of test suite sizes are comparable to other parameter free meta-heuristic algorithms. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Heuristic algorithms

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Hyper-Heuristic Strategy for Input-Output-Based Interaction Testing

Hyper-Heuristic Strategy for Input-Output-Based Interaction ...

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Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020

作者： Din, Fakhrud Zamli, Kamal Z. Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Pahang26300 Malaysia Department of Computer Science & IT University of Malakand Lower Dir District KPK Pakistan

ISBN: (纸本)9789813345966

software testing aims at exploring faults within software in order to ensure it meets all necessary specifications. Test case design strategies play key role in software testing. Classical test case design strategies, however, do not sufficiently include support for exploration of faults due to interaction between parameter values. New strategies known as t-way strategies (where t expresses interaction strength) have been developed for finding interaction faults. However, existing t-way strategies for input-output-based relationship (IOR) interaction testing mostly adopt greedy algorithms which often generate poor quality test data. Therefore, this paper presents the design of a new IOR test suite generation strategy called IOR_HH based on the exponential Monte Carlo with counter (EMCQ) hyper-heuristic. EMCQ is a parameter free hyper-heuristic which works as controller of the three implemented low-level meta-heuristic operators, namely crossover, peer learning and global pollination in the proposed IOR_HH strategy. Experimental results demonstrate the impact of the proposed strategy against existing computational strategies for IOR interaction testing. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： software testing

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