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2nd International Conference on Smart computing and Electronic Enterprise, ICSCEE 2021

作者： Bamansoor, Samer Pande, Bishwajeet Al Moaiad, Yazeed Pathmanathan, P. Ravindran El-Ebiary, Yousef A. Baker Latiff, Nurul Adilah Abdul Aseh, Khairi Aledinat, Lowai Saleh Yusoff, Fakhrul Hazman MEDIU Faculty of Computer and Information Technology Malaysia Faculty of Informatics and Computing UniSZA Malaysia Gyancity Research Consultancy Pvt Ltd Motihari India MEDIU Faculty of Computer and Information Technology Malaysia International Institute of Applied Science Swiss School of Management Netherlands UniSZA Faculty of Informatics and Computing Malaysia Universiti Malaysia Terengganu Faculty of Ocean Engineering Technology and Informatics Malaysia UniSZA Faculty of Informatics and Computing Malaysia Universiti Teknologi MARA Malaysia

ISBN: (纸本)9781665432221

With the emergence of current developments and their devices that allow correspondence between organizations with each other, just as it is between organizations and service providers, just as with their customers, for some reasons, including advertising and a return to what is acceptable to them with the organization. Items, deals, etc., therefore, this examination provides an internal and external investigation of the current web-based business phase with a focus on promising conditions, risks, qualities, and shortcomings of FashionValet's electronic stage, whose administrations offer more than the Internet. Also, FashionValet is a stage organizer for online shopping and style in Southeast Asia other than Poplook, Zalora, and others, and the bulk of them are important competitors to FashionValet and they implement their own systems. The FashionValet experience, for example, is the history of the creator just as the other company's foundation has been pointed out to characterize how organizations, especially FashionValet, have moved from their primary stage to where they are today as the most aggressive design project. In addition, the technologies and innovations used by FashionValet are shown to provide a comprehensive detailed blueprint. To understand the improvement in style organizations in Malaysia, it was examined further. The paper outlines the critical elements to FashionValet's thriving as an end. © 2021 IEEE.

关键词： Online systems

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Science to Life: User Experience in Children’s Science Book with Augmented Reality (AR) 11th

Science to Life: User Experience in Children’s Science Book...

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11th International Workshop on Learning technology for Education Challenges, LTEC 2023

作者： Kasinathan, Vinothini Mustapha, Aida Husain, Noor Hanifah Zamnah, Aida Rohizan, Rizawati Faculty of Computing Engineering and Technology Asia Pacific University of Technology and Innovation Technology Park Malaysia Kuala Lumpur57000 Malaysia Faculty of Applied Sciences and Technology Universiti Tun Hussein Onn Malaysia Johor Panchor84600 Malaysia

ISBN: (纸本)9783031347535

This paper proposes an interactive Science book called Science to Life that is supported by Augmented Reality (AR), based on Malaysian Science textbooks from Year 1 to Year 6. The AR application is developed using Unity 3D with the support of the Vuforia engine. The evaluation showed favorable feedback from the users on the roles and capacity of Science to Life in educating young students on the Science subject. This AR book is hoped to spark interest among primary school students to learn and master the Science subject. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Augmented reality

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Brain Depletion Recognition Through Iot Sensors Empowered with Computational Intelligence 4th

Brain Depletion Recognition Through Iot Sensors Empowered wi...

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4th International Conference on Futuristic Trends in Networks and computing Technologies, FTNCT 2021

作者： Theodore, Shaji. K. A. Selvakumar, K. Revathy, G. Faculty of IT–Networking Department of IT University of Technology and Applied Sciences Al-Masnaah Oman Department of IT Faculty of Engineering and Technology Annamalai University Chidmabaram India School of Computing SASTRA Deemed to Be University Thanjavur India

ISBN: (纸本)9789811950360

The world has been inspired by the development of Internet of Things enabling applications in recent years, which have brought outstanding solutions to a number of problems. This fast-growing industry is led by wireless sensor networks, radio frequency identification, and smart mobile technologies. Smart medical devices and wearables, for example, play an important part in the Internet of Things, as they may collect a variety of longitudinal patient-generated health data while also presenting preliminary diagnosis options. As part of their efforts to support patients utilizing IoT-based solutions, experts exploit the capabilities of machine learning algorithms to provide effective solutions in bleeding detection. This chapter outlines a smart IoT-based system for human brain haemorrhage diagnostics that employs deep learning algorithms to lower fatality rates and provide accurate treatment suggestions. To classify the pictures from the computed tomography scans for the intracranial dataset, the Nave Bayes Classification and Recurrent Neural Network were utilized. The classification results for the Naive Bayes classification and Recurrent neural network are superior to prior techniques such as support vector machines, knn, and kmediods. According to the findings, the recurrent neural network outperforms at classifying intracranial imagery. The output of the classification tool includes information on the type of brain haemorrhage, which aids in the validation of an expert’s diagnosis and is utilised as a learning tool for trainee radiologists to eliminate errors in current systems. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

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Tuning the electronic and magnetic properties of germanium-substituted armchair and zigzag graphene nanoribbons: A comprehensive DFT investigation

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Physica E: Low-Dimensional Systems and Nanostructures 2025年 172卷

作者： Hoat, D.M. Khuong Dien, Vo Pham, Tri Duy Ho, Quoc Huy, Huynh Anh Nguyen, Duy Khanh Dat, Vo Duy Institute of Theoretical and Applied Research Duy Tan University Ha Noi100000 Viet Nam Faculty of Natural Sciences Duy Tan University Da Nang550000 Viet Nam FPT University Can Tho Campus Can Tho Viet Nam AiTA Lab Department of Computing Fundamental FPT University Ho Chi Minh City Viet Nam Department of Mathematics and Physics Universitetet i Stavanger Stavanger Norway Faculty of Physics School of Education Can Tho University Can Tho City Viet Nam Laboratory for Computational Physics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Faculty of Mechanical - Electrical and Computer Engineering School of Technology Van Lang University Ho Chi Minh City Viet Nam

Substitution is among the effective methods to modify essential properties of graphene nanoribbons (GNRs) allowing them to be adaptive to a wide range of applications. In this study, the spin-polarized DFT calculations were performed to discover the structural, electronic, and magnetic properties of 7AGNR and 6ZGNR systems under different germanium substitutions. The critical concentrations and positions of Ge adatoms are considered by investigating different configurations. The systematic calculations and subsequent analysis provided a comprehensive framework for establishing the structure-property relationship. Importantly, the mechanisms responsible for this relationship were also determined, where Ge adatoms play important roles in the orbital hybridization, charge transfer, and new chemical bonding formation. The properties of 7AGNR and 6ZGNR were significantly altered by germanium substitution. The pristine 7AGNR has a bandgap of 1.57 eV, which can vary from 0.58 to 1.96 eV depending on the concentration and distribution of Ge adatom. Meanwhile, its nonmagnetic character is preserved. The 6ZGNR system, on the other hand, displays spin-splitting bandgap of 0.53 eV making it be a unique antiferromagnetic semiconductor. A single germanium atom substitution in 6ZGNR induces a ferromagnetic semi-metallic state with a magnetic moment ranging from −0.02 to −0.21 μB, whereas complete (100 %) germanium substitution yields a ferromagnetic semiconducting state with a magnetic moment of −0.03 μB. The mechanisms by which Ge adatoms modify the fundamental properties of 1D GNR systems can serve as a reference for investigating and tailoring the properties of other 1D systems for advanced applications. © 2025 Elsevier B.V.

关键词： Graphene nanoribbon

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A partial equilibrium view on security and privacy

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Information Management and Computer Security 2008年第1期16卷 74-83页

作者： Katos, Vasilios Patel, Ahmed School of Computing University of Portsmouth Portsmouth United Kingdom School of Computing Information Systems and Mathematics Centre for Applied Research in Information Systems Kingston University Kingston upon Thames United Kingdom Department of Computer Science Faculty of Information Science and Technology University Kebangsaan Malaysia Bangi Malaysia

Purpose - This paper aims to propose a tool to help policy makers understand the dynamic relationships between security and privacy on a strategic (macro) level. Design/methodology/approach - The methodology is ported from the discipline of Macroeconomics, and applied to the information security and privacy domain. The methodology adopted is the so-called "cross methodology" which claims ownership of the well-known supply/demand market equilibrium exercise. Findings - Early evaluation reveals that this is a potentially very effective tool in understanding societal behaviour and position towards information security and privacy and therefore makes this a suitable tool for investigating and exploring scenarios that can assist in policy making. Originality/value - Up to date, research on the economics of security and privacy has been primarily focusing on a micro level. The main contribution of this paper is a methodology for investigating privacy and security on a macro level. We believe that our approach in undertaking this research is new and looking at the issues and relationships between security and privacy at a macro level, gives a better understanding of the problems at hand and how to resolve them. Practical implications - The proposed tool may increase the efficiency of policy making and planning as it enables the policy makers on a governmental and strategic level to run scenarios in order to investigate the effect of their decisions (for example, an introduction of a stricter law relating to computer misuse) to the delicate balance of security and privacy.

关键词： Public policy

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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications

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Scientific Reports 2025年第1期15卷 1-24页

作者： Amal K. Alkhalifa Mohammed Aljebreen Rakan Alanazi Nazir Ahmad Sultan Alahmari Othman Alrusaini Ali Alqazzaz Hassan Alkhiri Department of Computer Sciences College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Kingdom of Saudi Arabia Department of Computer Science Community College King Saud University P.O. Box 28095 Riyadh 11437 Kingdom of Saudi Arabia Department of Information Technology Faculty of Computing and Information Technology Northern Border University Rafha Kingdom of Saudi Arabia Department of Computer Science Applied College at Mahayil King Khalid University Abha Kingdom of Saudi Arabia King Abdul Aziz City for Science and Technology (KACST) Cybersecurity Institute Riyadh Kingdom of Saudi Arabia Department of Engineering and Applied Sciences Applied College Umm Al-Qura University Makkah Saudi Arabia Department of Computer Science and Artificial Intelligence College of Computing and Information Technology University of Bisha Bisha 67714 Saudi Arabia Department of Computer Science Faculty of Computing and Information Technology Al-Baha University Al Bahah Kingdom of Saudi Arabia

Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme costs in their serverless computing or cloud environments. These threats are chiefly related to serverless structures owing to their features, such as auto-scaling, pay-as-you-go method, cost amplification, and limited control. Serverless computing, Function-as-a-Service (FaaS), is a cloud computing (CC) system that permits developers to construct and run applications without a conventional server substructure. The deep learning (DL) model, a part of the machine learning (ML) technique, has developed as an effectual device in cybersecurity, permitting more effectual recognition of anomalous behaviour and classifying patterns indicative of threats. This study proposes a Mitigating Malicious Denial of Wallet Attack using Attribute Reduction with Deep Learning (MMDoWA-ARDL) approach for serverless computing on next-generation applications. The primary purpose of the MMDoWA-ARDL approach is to propose a novel framework that effectively detects and mitigates malicious attacks in serverless environments using an advanced deep-learning model. Initially, the presented MMDoWA-ARDL model applies data pre-processing using Z-score normalization to transform input data into a valid format. Furthermore, the feature selection process-based cuckoo search optimization (CSO) model efficiently identifies the most impactful attributes related to potential malicious activity. For the DoW attack mitigation process, the bi-directional long short-term memory multi-head self-attention network (BMNet) method is employed. Finally, the hyperparameter tuning is accomplished by implementing the secretary bird optimizer algorithm (SBOA) method to enhance the classification outcomes of the BMNet model. A wide-ranging experimental investigation uses a benchmark dataset to exhibit the superior performance of the proposed MMDoWA-ARDL technique. The compari

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An efficient access control scheme based on CP-ABE with supporting attribute change in cloud storage systems

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International Journal of Wireless and Mobile computing 2019年第1期16卷 41-49页

作者： Ye, Tao Cai, Yongquan Zhao, Xu Yang, Yongli Wang, Wei Zhu, Yi Faculty of Information Technology Beijing University of Technology Beijing China College of Computer Qinghai Nationalities University Xining China Faculty of Information Technology Beijing University of Technology Beijing Key Laboratory of Trusted Computing Natl. Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing100124 China College of Applied Sciences Beijing University of Technology Beijing100124 China

The CP-ABE-based access control scheme, which can better realise the access control of many-to-multi-ciphertext shared in the cloud storage architecture, is still facing the problems that the system cost is too large, and the policy attribute revocation or restore is not flexible. This paper proposes an efficient access control scheme based on CP-ABE with supporting attribute change in cloud storage system. The fine-grained access control can be achieved by re-encryption mechanism which takes the minimum shared re-encryption key for policy attribute set. And then the access structure tree is expanded by creating a corresponding virtual attribute for each leaf node attribute. The analysis results of the scheme indicate that the efficient and flexibility of the attribute change is not only improved, but also the system cost is reduced. Copyright © 2019 Inderscience Enterprises Ltd.

关键词： Access control

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Fruits and Vegetable Diseases Recognition Using Convolutional Neural Networks

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Computers, Materials & Continua 2022年第1期70卷 619-635页

作者： Javaria Amin Muhammad Almas Anjum Muhammad Sharif Seifedine Kadry Yunyoung Nam University of Wah WahCanttPakistan National University of Technology(NUTECH) IJP RoadIslamabadPakistan COMSATS University Islamabad Wah CampusPakistan Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

As they have nutritional,therapeutic,so values,plants were regarded as important and they’re the main source of humankind’s energy *** pathogens will affect its leaves at a certain time during crop cultivation,leading to substantial harm to crop productivity&economic selling *** the agriculture industry,the identification of fungal diseases plays a vital ***,it requires immense labor,greater planning time,and extensive knowledge of plant *** approaches are developed and tested by different researchers to classify plant disease identification,and that in many cases they have also had important results several ***,the proposed study presents a new framework for the recognition of fruits and vegetable *** work comprises of the two phases wherein the phase-I improved localization model is presented that comprises of the two different types of the deep learning models such asYouOnly Look Once(YOLO)v2 and Open Exchange Neural(ONNX)*** localizationmodel is constructed by the combination of the deep features that are extracted from the ONNX model and features learning has been done through the convolutional-05 layer and transferred as input to the YOLOv2 *** localized images passed as input to classify the different types of plant *** classification model is constructed by ensembling the deep features learning,where features are extracted dimension of 1×1000 from pre-trained Efficientnetb0 model and supplied to next 07 layers of the convolutional neural network such as 01 features input,01 ReLU,01 Batch-normalization,02 *** proposed model classifies the plant input images into associated labels with approximately 95%prediction scores that are far better as compared to current published work in this domain.

关键词： Efficientnetb0 open exchange neural network features learning softmax YOLOv2

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A numerical study for optimizing vehicle dynamics control systems in offset impacts

A numerical study for optimizing vehicle dynamics control sy...

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SAE 2011 World Congress and Exhibition

作者： Elkady, Mustafa Elmarakbi, Ahmed Crolla, Dave Department of Computing Engineering and Technology Faculty of Applied Science University of Sunderland Sunderland SR6 0DD United Kingdom

In this paper, a novel 3-D dynamic/crash mathematical model is developed and solved numerically to investigate the influence of Vehicle Dynamics Control Systems (VDCS) on vehicle collision mitigation in offset crash scenarios. In this model, the VDCS are co-simulated with a four-wheel vehicle dynamic model and integrated with a nonlinear front-end structure model. In addition, the vehicle body is represented by a lumped mass and four spring/damper units are used to represent the vehicle suspension system. The numerical simulations demonstrate that the vehicle dynamic responses and influence of VDCS on vehicle collisions are captured and analyzed accurately. Furthermore, the mathematical model is shown to be flexible, useful and can be used in optimization studies. The model is validated by comparing the numerical results with other published results and good correlations are achieved. © 2011 SAE International.

关键词： Magnetic levitation vehicles

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V-CRYPT: A Secure Visual Cryptography System 7

V-CRYPT: A Secure Visual Cryptography System

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7th International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021

作者： Nashrudin, Muhamad Ridhwan Bin Nasser, Abdullah B. Abdul-Qawy, Antar Shaddad H. Universiti Malaysia Pahang Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia Sumait University Facutly of Science Department of Science and Information Technology Zanzibar Tanzania United Republic of

ISBN: (纸本)9781665414074

Nowadays, peoples are very concerned about their data privacy. Hence, all the current security methods should be improved to stay relevant in this fast-growing technology world. Visual Cryptography (VC) is a cryptographic technique that using the image processing method. The implementation of VC can be varying and flexible to be applied to the system that requires an extra security precaution as it is one of the effective solutions in securing the data exchange between two or more parties. The main purpose of the development of V-CRYPT System is to improve the current VC technique and make it more complex in the encryption and decryption process. V-CRYPT system will let the user enter the key, then select the image that they want to encrypt, and the system will split the image into four shares: share0, share1, share2, share3. Each pixel of the image will be splatted into a smaller block of subpixels in each of the four shares and encrypted as two subpixels in each of the shares. The decryption will work only when the user selects all the shares, and the correct text key is entered. The system will superimpose all the shares and producing one perfect image. If the incorrect key is entered, the resulted image will be unidentified. The results show that V- CRYPT is a valuable alternative to existing methods where its security level is higher in terms of adding a secure key and complexity. © 2021 IEEE.

关键词： Electronic data interchange

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