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39th ACM/IEEE International Conference on Automated Software Engineering Workshops, ASEW 2024

作者： Alshabeeb, Esra'a Alshammare, Haifa Alakkas, Noor Alshayeb, Mohammad Faisal University Imam Abdulrahman Bin Information and Computer Science Department KFUPM Department of Computer Science Dhahran Saudi Arabia Digital Technical College for Girls Technical and Vocational Training Corporation Information and Computer Science Department KFUPM Department of Computer Science Dhahran Saudi Arabia Faisal University Imam Abdulrahman Bin Information and Computer Science Department KFUPM Department of Computer Science Dhahran Saudi Arabia Interdisciplinary Research Center for Intelligent Secure Systems Information and Computer Science Department KFUPM Department of Computer Science Dhahran Saudi Arabia

ISBN: (纸本)9798400712494

Despite the importance of adopting SPM tools for supporting agile practices and the significance of usability as an essential component of human factors engineering, their usability evaluation was neglected in the literature. This study aims to identify the common usability issues in SPM tools and propose suggestions for enhancing their usability. Two of the most widely used SPM tools were selected as a case study for this study, namely Jira and Pivotal Tracker. Three independent evaluators participated in the usability evaluation, using two human factors techniques: Heuristic Evaluation and Cognitive Walkthrough. The results revealed a total frequency of 123 issues in both tools. Both tools had a nearly equal frequency of issues in each evaluation method but different severity levels. Learnability issues were the issues that were raised the most in the evaluation for both tools. Most of the issues had minor to major severity, with the following percentages of total issues: 41.33% and 46.67%, respectively, while only 13.33% were catastrophic. Considering the proposed solutions by designers and developers for this type of tool can help enhance the design of SPM tools, leading to increased user satisfaction and tool adoption. © 2024 ACM.

关键词： Project management

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A Novel Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model

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computers, Materials & Continua 2023年第8期76卷 1325-1341页

作者： Jawad Ahmad Mimonah Al Qathrady Mohammed SAlshehri Yazeed Yasin Ghadi Mujeeb Ur Rehman Syed Aziz Shah School of Computing Engineering and the Built EnvironmentEdinburgh Napier UniversityEdinburghEH105DTUK Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer Science Al Ain UniversityAbu Dhabi112612United Arab Emirates School of Science Technology and HealthYork St John UniversityYorkYO317EXUK Research Centre for Intelligent Healthcare Coventry UniversityCoventryCV15FBUK

Due to the inherent insecure nature of the Internet,it is crucial to ensure the secure transmission of image data over this ***,given the limitations of computers,it becomes evenmore important to employ efficient and fast image encryption *** 1D chaotic maps offer a practical approach to real-time image encryption,their limited flexibility and increased vulnerability restrict their practical *** this research,we have utilized a 3DHindmarsh-Rosemodel to construct a secure *** randomness of the chaotic map is assessed through standard *** proposed system enhances security by incorporating an increased number of system parameters and a wide range of chaotic parameters,as well as ensuring a uniformdistribution of chaotic signals across the entire value ***,a fast image encryption technique utilizing the new chaotic system is *** novelty of the approach is confirmed through time complexity *** further strengthen the resistance against cryptanalysis attacks and differential attacks,the SHA-256 algorithm is employed for secure key *** results through a number of parameters demonstrate the strong cryptographic performance of the proposed image encryption approach,highlighting its exceptional suitability for secure ***,the security of the proposed scheme has been compared with stateof-the-art image encryption schemes,and all comparison metrics indicate the superior performance of the proposed scheme.

关键词： Hindmarsh-rose model image encryption SHA-256 parallel computing

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Nge-BatikVR: Innovative Batik Learning and Marketing Through Virtual Reality Serious Games with Immersive Hands-On Experience 15

Nge-BatikVR: Innovative Batik Learning and Marketing Through...

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15th International Congress on Advanced Applied Informatics Winter, IIAI-AAI-Winter 2023

作者： Ramdhan, Dimas Pratama, Galih Dea Wijaya, Michael Francis Syahputra, Muhammad Edo Wihendro Game Application & Technology Program School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta Indonesia

ISBN: (纸本)9798350383829

Batik is a cultural heritage of Indonesia, recognized by WHO as an Intangible Cultural Heritage. Batik is dyed by skilled craftsmen who make patterns with dots and lines on the fabric from melted wax. The process is complicated, so few people can experience all the steps in crafting Batik. From these problems, immersive learning media are needed so everyone can learn and gain experience in Batik crafting from start to finish. In this study, we will present Nge-BatikVR, a serious game application that introduces Batik through Virtual Reality and offers an immersive experience of learning Batik from various regions with interactive hands-on feature aimed at people to better understand and learn Batik. Nge-BatikVR offers four main features called Sinau (Learn), Kuis (Quiz), Nge-Batik (Simulation) and Toko (Shopping), with the main purpose to present interactive and engaging media useful for introducing and learning Batik with a fully immersive experience. © 2023 IEEE.

关键词： Serious games

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Leveraging Sharding-Based Hybrid Consensus for Blockchain

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computers, Materials & Continua 2024年第10期81卷 1215-1233页

作者： Hind Baageel Md Mahfuzur Rahman Department of Information&Computer Science King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center(IRC)for Intelligent Secure Systems King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia

The advent of blockchain technology has transformed traditional methods of information exchange,shifting reliance from centralized data centers to decentralized *** blockchain’s decentralization and security are strengths,traditional consensus mechanisms like Proof of Work(PoW)and Proof of Stake(PoS)face limitations in *** achieves decentralization and security but struggles with scalability as transaction volumes grow,while PoS enhances scalability,but risks centralization due to monopolization by high-stake ***,a recent advancement in blockchain technology,addresses scalability by partitioning the network into shards that process transactions independently,thereby improving throughput and reducing ***,cross-shard communication,essential for transactions involving multiple shards,introduces challenges in coordination and fault *** research introduces a shard-based hybrid consensus model,PoSW,which combines PoW and PoS to mitigate the limitations of both *** integrating PoW’s fairness with PoS’s scalability in a shard-based blockchain,the proposed model addresses key issues of scalability and *** evaluate the model against state-of-the-art consensus algorithms,including Monoxide and Practical Byzantine Fault Tolerance(PBFT).The results show that the proposed PoSW model reduces communication overhead compared to PBFT and improves resource utilization over *** addition to performance gains,the security analysis demonstrates that the PoSW model provides robust defense against common blockchain attacks such as the 51%and Sybil attacks,*** proposed approach is particularly suited for applications like decentralized finance(DeFi)and supply chain management,which require both high scalability and robust *** contributions of this research include the development of the PoSW hybrid consensus mechanism,its comparative evaluation with leading algorithms,and a thorough

关键词： Blockchain consensus algorithm decentralized network

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Exact Solution of the Full RMSA Problem in Elastic Optical Networks

IEEE Networking Letters

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IEEE Networking Letters 2024年第1期6卷 55-59页

作者： David, Fabio Rezende, Jose F. De Barbosa, Valmir C. Federal University of Rio de Janeiro Informatics and Computer Science Department Rio de Janeiro21941-914 Brazil Federal University of Rio de Janeiro Systems Engineering and Computer Science Program Centro de Tecnologia Rio de Janeiro21941-914 Brazil

Exact solutions of the Routing, Modulation, and Spectrum Allocation (RMSA) problem in Elastic Optical Networks (EONs), so that the number of admitted demands is maximized while those of regenerators and frequency slots used are minimized, require a complex ILP formulation taking into account frequency-slot continuity and contiguity. We introduce the first such formulation, ending a hiatus of some years since the last ILP formulation for a much simpler RMSA variation was introduced. By exploiting a number of problem and solver specificities, we use the NSFNET topology to illustrate the practicality and importance of obtaining exact solutions. © 2019 IEEE.

关键词： Topology

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Literature Review: Analysis of Essential Metadata Attributes of Digital Goods for Transaction in The Virtual World 9

Literature Review: Analysis of Essential Metadata Attributes...

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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Martha, Gede Indra Raditya Prabowo, Harjanto Gaol, Ford Lumban Wiputra, Richard BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Business School Undergraduate Program Bina Nusantara University Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia

ISBN: (纸本)9798350390025

In online-based virtual worlds such as Metaverse, Online Games, and other online digital spaces, the virtual/digital goods (digital items / digital assets) are fundamental things that must be available to be able to do business & create an economy in the virtual world through monetization & transactions from these digital goods. This research focuses on summarizing and exploring the attributes used in digital goods in the virtual world by extracting attributes in digital goods from other related studies using the Systematic Literature Review methodology & PRISMA Framework comprehensively so that it can be a reference for developers in designing the properties and functions of digital goods in the virtual world that are being developed, which in this case will be in the form of an NFT in the future. Based on research that has been carried out, 3 essential metadata attributes have the most influence on transactions, number 1 Visual Design / Aesthetic (Representative), number 2 Effect (Utilities), and number 3 Statistics / Performance (Utilities) which must be considered in developing/making digital goods in the form of NFTs in the virtual world so that the value of digital goods can attract users to buy or transact them in the virtual world. © 2024 IEEE.

关键词： Virtual environments

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CyBarKeeper: Design and implementation of a high-resolution haptic sensor system for a robotic gripper using embedded machine learning algorithms

CyBarKeeper: Design and implementation of a high-resolution ...

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MikroSystemTechnik Kongress 2023: Mikroelektronik, Mikrosystemtechnik und ihre Anwendungen - Nachhaltigkeit und TechnologiesouveranitatMicrosystems Technology Congress 2023: Microelectronics, Microsystems Technology and their Applications - Sustainability and Technology Sovereignty

作者： Rossbach, Daniel Konegen, Daniel Rüb, Marcus Willmann, Alexander Kuderer, Markus Rietsche, Hansjörg Amft, Oliver Hahn-Schickard Villingen-Schwenningen Germany Intelligent Embedded Systems Lab Department of Computer Science University of Freiburg Germany

ISBN: (纸本)9783800762040

The aim of the project presented in this paper was to embed high-resolution stress sensors in the gripping surfaces of a robot gripper to derive information about the quality/stability and property of the grip using the data thus obtained during the gripping process. Based on the sensor information, the robot's control software can decide whether and how the position of the gripper relative to the object to be gripped needs to be adapted. ASICs for surface stress measurement were embedded in an elastic silicone mold and mounted on a commercial robot gripper. The ASIC readout was realized using an FPGA development board, for which software was developed to configure the system and display the recorded data. To interpret sensor data, gripping recordings were used to design and train a neural network for the classification of gripping states. Although the neural network was quantized to 8-bit and compressed by more than 75% to fit on the FPGA platform, it achieved a classification accuracy of 93% for recognising three different grasping classes. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Field programmable gate arrays (FPGA)

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EnsembleCAM: Unified Visualization for Explainable Cervical Cancer Identification

EnsembleCAM: Unified Visualization for Explainable Cervical ...

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2024 International Research Conference on Smart Computing and systems Engineering, SCSE 2024

作者： Sritharan, Niruthikka Gnanavel, Nishaanthini Inparaj, Prathushan Meedeniya, Dulani Yogarajah, Pratheepan University of Moratuwa Department of Computer Science and Engineering Moratuwa Sri Lanka Ulster University School of Computing Engineering and Intelligent Systems Londonderry United Kingdom

ISBN: (纸本)9798350375688

Cervical cancer, which is ranked fourth among cancers affecting women, is highly treatable when detected early through the pap smear test. Deep Learning (DL) models, particularly Convolutional Neural Networks (CNNs), analyze pap smear images, yet their Black-Box nature raises transparency concerns in medical diagnostics. This paper introduces a solution named EnsembleCAM to enhance interpretability by unifying visual explanations through the combination of diverse Class Activation Maps (CAMs). Using the Herlev Dataset, we employ data pre-processing, data augmentation techniques, develop an XceptionNet based binary classification model with an accuracy of 89% and apply GradCAM, GradCAM++, Score-CAM, Eigen-CAM and LayerCAM on this classifier. Then, the novel EnsembleCAM is constructed taking the median of activation maps from the five individual CAM methods. The analysis of activation maps of each CAM method and EnsembleCAM confirmed that in activation maps of EnsembleCAM, higher activation values were more concentrated around the nucleus which is the most important region in indicating cervical malignancy. The evaluation using pixel flipping performance metric also proved that the EnsembleCAM effectively recognises regions vital to the model's decision-making through its steepest drop in the mean prediction score when the pixels in the region contributing most to the model's decision were flipped. © 2024 IEEE.

关键词： Visualization

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Towards Adaptive Trajectories for Mixed Autonomous and Human-Operated Ships 5

Towards Adaptive Trajectories for Mixed Autonomous and Human...

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5th IEEE International Conference on Autonomic Computing and Self-Organizing systems Companion, ACSOS-C 2024

作者： Pianini, Danilo Tomforde, Sven Alma Mater Studiorum - Università di Bologna Department of Computer Science and Engineering Cesena Italy Intelligent Systems Group Kiel University Kiel Germany

ISBN: (纸本)9798350389760

We are witnessing the rise of autonomous cars, which will likely revolutionize the way we travel. Arguably, the maritime domain lags behind, as ships operate on many more degrees of freedom (thus, a much larger search space): there is less physical infrastructure, and rules are less consistent and constraining than what is found on roads. The problem is further complicated by the inevitable co-existence of autonomous and human-operated ships: the latter may take unpredictable decisions, which require adjustments on the autonomous ones. Finally, the problem is inherently decentralised, there is no central authority, and communication means can be very diverse in terms of communication distance and performance, mandating special care on which information is shared and how. In this work, we elaborate on the challenges of trajectory prediction and adaptation for mixed autonomous and human-operated ships, and we propose initial ideas on potential approaches to address them. © 2024 IEEE.

关键词： Decentralized control

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Enhancing Skin Cancer Detection Through Automated Classification Using Convolutional Neural Networks 1

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7th International Conference on intelligent Computing and Optimization, ICO 2023

作者： Hossain, Md Jakir Bhuiyan, M. D. Wahidul Islam Raisa, Sadia Afrin Tomal, Minhazul Amin Jennifer, Sanjeda Sara Reza, Ahmed Wasif Siddique, Nazmul Department of Computer Science and Engineering East West University Dhaka Bangladesh School of Computing Engineering and Intelligent Systems Ulster University Londonderry United Kingdom

ISBN: (数字)9783031733185

ISBN: (纸本)9783031733178

Skin cancer presents a significant public health concern, necessitating early detection and intervention to mitigate life-threatening consequences. Despite its prevalence, skin cancer is not always given the attention it deserves. In this paper, we propose an automated procedure for distinguishing skin cancers using several neural network algorithms. We used the MobileNet architecture whose accuracy is not very high and this is why we have also used other algorithms such as Sequential CNN (Convolution Neural Network), VGG16, and Xception to improve the accuracy of our model. By comparing these algorithms, we found that the Sequential CNN performed best with an accuracy of 94%. The proposed model utilizes the Sequential CNN algorithm to achieve a high level of accuracy, which is of utmost importance for the early detection of skin cancer. The high accuracy of the proposed model makes it a promising tool for detecting skin cancer early. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Lung cancer

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