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Iterative process to improve simple adaptive subdivision surfaces method with butterfly scheme

World Academy of Science, Engineering and technology 2011年第79期79卷 622-626页

作者： Husain, Noor Asma Rahim, Mohd Shafry Mohd Bade, Abdullah Department of Computer Graphics and Multimedia Faculty of Computer Science and Information System University of Technology Malaysia 81310 Skudai Johor Malaysia School of Engineering and Information System University of Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia

Subdivision surfaces were applied to the entire meshes in order to produce smooth surfaces refinement from coarse mesh. Several schemes had been introduced in this area to provide a set of rules to converge smooth surfaces. However, to compute and render all the vertices are really inconvenient in terms of memory consumption and runtime during the subdivision process. It will lead to a heavy computational load especially at a higher level of subdivision. Adaptive subdivision is a method that subdivides only at certain areas of the meshes while the rest were maintained less polygons. Although adaptive subdivision occurs at the selected areas, the quality of produced surfaces which is their smoothness can be preserved similar as well as regular subdivision. Nevertheless, adaptive subdivision process burdened from two causes;calculations need to be done to define areas that are required to be subdivided and to remove cracks created from the subdivision depth difference between the selected and unselected areas. Unfortunately, the result of adaptive subdivision when it reaches to the higher level of subdivision, it still brings the problem with memory consumption. This research brings to iterative process of adaptive subdivision to improve the previous adaptive method that will reduce memory consumption applied on triangular mesh. The result of this iterative process was acceptable better in memory and appearance in order to produce fewer polygons while it preserves smooth surfaces.

关键词： Cracks

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Web service composition survey: State of the art review

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Recent Patents on computer Science 2010年第2期3卷 91-107页

作者： Al-Shargabi, Bassam Sheikh, Asim El Sabri, Alia Faculty of Information Technology Department of Computer Information System Middle East University for Graduate Studies P.O. Box 42 Amman 11610 Jordan Faculty of Information Systems and Technology Arab Academy for Banking and Financial Sciences Amman Jordan

The Web service composition has received much attention recently to support business-to-business enterprise applications integration. Many composition approaches, languages, platforms, and patents have been proposed to overcome this issue. In this paper we present some of Web service composition languages, platforms, patents, and composition strategies, we compared them to some of the features that must be held by composition process, features such as the dynamic adaptation, execution monitoring, and quality of service (QoS) constraints to satisfy client's requirements to execute Web process. And we give an outlook to essential future research work. Recent patent and research advances aim to find methods for dynamic learning and redesigning along with monitoring and optimization of Web service composition process to satisfy user constraints. © 2010 Bentham Science Publishers Ltd.

关键词： Quality of service

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Enhancing Children's Health Awareness through Narrative Game-Based Learning using Digital technology: A Framework and Methodology 9

Enhancing Children's Health Awareness through Narrative Game...

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9th International HCI and UX Conference in Indonesia, CHIuXiD 2023

作者： Muniandy, Nithiyaa Kamsin, Amirrudin Sabri, Mas Idayu Faculty of Computer Science & Information Technology University Malaya Kuala Lumpur Department of Computer System & Technology Malaysia

ISBN: (纸本)9798350304084

Effective health education and awareness initiatives are essential in a world facing growing concerns about children's well-being and rising unhealthy behaviours. This research presents a Narrative Game-Based Learning (N-GBL) framework designed to enhance children's health awareness, addressing critical gaps in their health education. Through a systematic literature review following the PRISMA methodology, this study identifies 13 essential components that form the foundation of the N-GBL framework. These components are structured around the Input-Process-Output (IPO) model, emphasizing narratives, game mechanics, and user engagement strategies. The core purpose of the N-GBL framework is to deepen children's understanding of the consequences of their choices, fostering informed decision-making and to empower them to make healthier choices. This research contributes to developing effective health awareness games tailored to children's learning preferences, bridging existing gaps in their health education. The N-GBL framework offers a revolutionary approach to health education for children, significantly enhancing health awareness and reducing health issues resulting from unhealthy behaviours. Future work will involve expert validation and practical testing in primary schools to transform health education for children. © 2023 IEEE.

关键词： Decision making

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Development of Social Media Analytics system for Emergency Event Detection and Crisis Management

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computers, Materials & Continua 2021年第9期68卷 3079-3100页

作者： Shaheen Khatoon Majed AAlshamari Amna Asif Md Maruf Hasan Sherif Abdou Khaled Mostafa Elsayed Mohsen Rashwan Department of Information System College of Computer Science and Information TechnologyKing Faisal UniversityAl-Ahsa31982Saudi Arabia Faculty of Computers and Artificial Intelligence Cairo UniversityEgypt Faculty of Computing&Information Cairo UniversityEgypt Faculty of Engineering Cairo UniversityEgypt

Social media platforms have proven to be effective for information gathering during emergency events caused by natural or human-made *** response authorities,law enforcement agencies,and the public can use this information to gain situational awareness and improve disaster *** case of emergencies,rapid responses are needed to address victims’requests for *** research community has developed many social media platforms and used them effectively for emergency response and coordination in the ***,most of the present deployments of platforms in crisis management are not automated,and their operational success largely depends on experts who analyze the information manually and coordinate with relevant humanitarian agencies or law enforcement authorities to initiate emergency response *** seamless integration of automatically identifying types of urgent needs from millions of posts and delivery of relevant information to the appropriate agency for timely response has become *** research project aims to develop a generalized information technology(IT)solution for emergency response and disaster management by integrating social media data as its core *** this paper,we focused on text analysis techniques which can help the emergency response authorities to filter through the sheer amount of information gathered automatically for supporting their relief *** specifically,we applied state-of-the-art Natural Language Processing(NLP),Machine Learning(ML),and Deep Learning(DL)techniques ranging from unsupervised to supervised learning for an in-depth analysis of social media data for the purpose of extracting real-time information on a critical event to facilitate emergency response in a *** a proof of concept,a case study on the COVID-19 pandemic on the data collected from Twitter is presented,providing evidence that the scientific and operational goals have been achieved.

关键词： Crisis management social media analytics machine learning natural language processing deep learning

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An evaluation of Error Level Analysis in image forensics 5

An evaluation of Error Level Analysis in image forensics

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5th IEEE International Conference on system Engineering and technology, ICSET 2015

作者： Warif, Nor Bakiah Abd Idris, Mohd. Yamani Idna Wahab, Ainuddin Wahid Abdul Salleh, Rosli Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781467367134

The advancement in digital image tampering has encouraged studies in the image forensics fields. The image tampering can be found over various image formats such as Joint Photographic Experts Group (JPEG). JPEG is the most common format that supported by devices and applications. Therefore, researchers have been studying the implementation of JPEG algorithm in the image forensics. In this paper, the Error Level Analysis (ELA) technique was evaluated with different types of image tampering, including JPEG compression, image splicing, copy-move and image retouching. From the experiment, the ELA showed reliability with JPEG compression, image splicing and image retouching forgery. © 2015 IEEE.

关键词： Image compression

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Empirical study of sperm swarm optimization algorithm

Empirical study of sperm swarm optimization algorithm

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作者： Shehadeh, Hisham A. Ahmedy, Ismail Idris, Mohd Yamani Idna Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

This paper gives an empirical study to estimate the performance of our proposed optimization method called Sperm Swarm Optimization (SSO). The SSO is evaluated frequently with different mathematical benchmark models utilized in the scope of optimization. Various asymmetric parameters and settings are chosen for these benchmark functions. The acquired results are compared with the results of four methods, such as Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). The outcomes present that the proposed approach outperforms other approaches in terms of quality of result because of using the technique of inherently continuous to update the sperm location. In addition, it uses different types of mutations which are utilized to increase the method convergence. © Springer Nature Switzerland AG 2019.

关键词： Genetic algorithms

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Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset

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IEEE Access 2024年 12卷 9369-9381页

作者： Ainan, Ummey Hany Por, Lip Yee Chen, Yen-Lin Yang, Jing Ku, Chin Soon Universiti Malaya Faculty of Computer Science and Information Technology Department of Computer System and Technology Kuala Lumpur50603 Malaysia National Taipei University of Technology Department of Computer Science and Information Engineering Taipei106344 Taiwan Universiti Tunku Abdul Rahman Department of Computer Science Kampar31900 Malaysia

The challenge of bankruptcy prediction, critical for averting financial sector losses, is amplified by the prevalence of imbalanced datasets, which often skew prediction models. Addressing this, our study introduces the innovative hybrid model XGBoost+ANN, designed to leverage the strengths of both ensemble learning and artificial neural networks. This model integrates a comprehensive set of features with parameters optimized through genetic algorithms, eschewing traditional feature selection approaches. Our research focuses on an unbalanced dataset of Polish companies and reveals that the XGBoost+ANN model, in particular, exhibits outstanding performance. Optimized using genetic algorithms and without feature selection, this model achieved the highest AUC (0.958), sensitivity (0.752), and accuracy (0.983) scores, surpassing other models in our study. This remarkable outperformance, along with the robust results, marks a substantial advancement in the field of bankruptcy prediction. It underscores the efficacy of our approach in addressing the persistent challenge of data imbalance, offering a more reliable and accurate solution for financial risk assessment. © 2013 IEEE.

关键词： Feature extraction

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A systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords

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IEEE Access 2024年 12卷 53408-53423页

作者： Por, Lip Yee Ng, Ian Ouii Chen, Yen-Lin Yang, Jing Ku, Chin Soon Universiti Malaya Faculty of Computer Science and Information Technology Department of Computer System and Technology Kuala Lumpur50603 Malaysia National Taipei University of Technology Department of Computer Science and Information Engineering Taipei106344 Taiwan Universiti Tunku Abdul Rahman Department of Computer Science Kampar31900 Malaysia

This systematic literature review delves into the dynamic realm of graphical passwords, focusing on the myriad security attacks they face and the diverse countermeasures devised to mitigate these threats. The core objective of this paper is to identify existing security threats to graphical password schemes and the corresponding countermeasures developed to mitigate these attacks. The study process begins by identifying the usable databases and search engines to identify all the relevant resources. The inclusion and exclusion criteria were carefully selected to prioritize the study, focusing mostly on attacks and countermeasures related to graphical password schemes between 2009 and 2023. After thorough identification and selection progress, 59 studies met all the criteria. Among these studies, 47 mentioned shoulder surfing as a threat to graphical password schemes, while 20 discussed brute force attacks. Additionally, there were 21 papers on dictionary attacks, 13 on smudge attacks, spyware attacks, and social engineering, and 19 that discussed guessing attacks as threats to graphical password schemes. Furthermore, the papers identified several other attacks, including frequency of occurrence analysis attacks, video recording, eavesdropping, computer vision, sonar, and image gallery attacks, with the corresponding numbers of papers being 9, 17, 5, 2, 2, and 1, respectively. The results also highlight the countermeasures proposed in the study papers to mitigate the aforementioned attacks. Among the various countermeasures identified, most revolve around randomization, obfuscation, and password space complexity as the most commonly used techniques for enhancing the security of graphical password schemes. © 2013 IEEE.

关键词： Authentication

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Securing Data in Multimode Fibers by Exploiting Mode-Dependent Light Propagation Effects

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Research 2023年第3期2023卷 669-682页

作者： Stefan Rothe Karl-Ludwig Besser David Krause Robert Kuschmierz Nektarios Koukourakis Eduard Jorswieck Jürgen W.Czarske TU Dresden Faculty of Electrical and Computer EngineeringLaboratory of Measurement and Sensor System Technique01062 DresdenGermany TU Braunschweig Faculty of Electrical EngineeringInformation TechnologyPhysicsInstitute for Communications Technology38106 BraunschweigGermany TU Dresden Faculty of Physics01062 DresdenGermany

Multimode fibers hold great promise to advance data rates in optical communications but come with the challenge to compensate for modal crosstalk and mode-dependent losses,resulting in strong *** holographic measurement of the transmission matrix enables not only correcting distortions but also harnessing these effects for creating a confidential data connection between legitimate communication parties,Alice and *** feasibility of this physical-layer-security-based approach is demonstrated experimentally for the first time on a multimode fiber link to which the eavesdropper Eve is physically *** the proper structured light field is launched at Alice’s side,the message can be delivered to Bob,and,simultaneously,the decipherment for an illegitimate wiretapper Eve is *** a real communication scenario,we implement wiretap codes and demonstrate confidentiality by quantifying the level of *** to an uncoded data transmission,the amount of securely exchanged data is enhanced by a factor of *** complex light transportation phenomena that have long been considered limiting and have restricted the widespread use of multimode fiber are exploited for opening new perspectives on information security in spatial multiplexing communication systems.

关键词： distortion destroyed holographic

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Optimizing one-to-many negotiation agents in e-commerce using aspiration concept

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International Conference on Digital Enterprise and information systems, DEIS 2011

作者： Ebadi, Sahar Sulaiman, Md. Nassir Azmi Morad, Masrah Azrifah Department of Information System Faculty of Computer Science and Information Technology University Putra Malaysia Serdang Malaysia

ISBN: (纸本)9783642226021

With the growth of World Wide Web and increasing human demand on trading, e-commerce becomes an inseparable part of business. In the past decade a huge number of researches have been done in order to develop optimal negotiation agent systems in e-commerce. However, existing models are weak in supporting real world e-market conditions since most of them assume static conditions for environment and complete information about opponent agent's preferences. As a result, this work proposes an adaptive one-to-many negotiation model called Aspiration negotiation model. This model is proposed in order to assist agents to adapt to the dynamicity of opponent agent's preferences and environmental conditions. Proposed model is employed in order to optimize the negotiation outcome in terms of utility gained by agents. Experimental studies have been done to evaluate the performance of proposed model. Finally Aspiration model was able to outperform previous models in terms of seller, buyer and joint utility value. © 2011 Springer-Verlag.

关键词： Genetic algorithms

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