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4th International Conference on Advancements in computing, ICAC 2022

作者： Attanayaka, Buddhima Nawinna, Dasuni Manathunga, Kalpani Abeygunawardhana, Pradeep K.W. Department of Computer Systems Engineering Faculty of Computing Sri Lanka Institute of Information Technology Sri Lanka Department of Computer Systems & Software Engineering Faculty of Computing Sri Lanka Institute of Information Technology Sri Lanka

ISBN: (纸本)9798350398090

Requirement elicitation (RE) is a cognitively challenging and time-consuming task in software development due to the numerous challenges associated with it including conflicting requirements, unspoken, or assumed requirements, difficulty meeting with relevant stakeholders, stakeholder resistance to change, and not enough time set aside for meetings with all stakeholders. The prime causes of software implementation failure have been identified as inadequacies in the treatment of requirements. Without collecting the quality requirement, cannot achieve the goal of a quality software product. Through identifying the success factors affecting requirement elicitation, the paths to the quality requirements can be identified. The success factors identify through this research are experience, business analyst skills, stakeholder relationship, organizational elicitation process. This study aims to identify the factors affecting requirement elicitation based on the data collected from business analysts and similar positions in the software industry through a survey, interviews, and analyzed data to provide the initial validation for the identified factors. Through the analysis, we identified the main factors affecting successful requirement elicitation with a perfect significance value of less than 0.05 for all factors. © 2022 IEEE.

关键词： Requirements engineering

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Refactoring Codes to Improve software Security Requirements

Refactoring Codes to Improve Software Security Requirements

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2022 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2022

作者： Almogahed, Abdullah Omar, Mazni Zakaria, Nur Haryani Department of Software Engineering Taiz University Taiz Yemen School of Computing Universiti Utara Malaysia Sintok06010 Malaysia

Refactoring is one of the most widely used techniques in practice to improve the quality of software, such as maintainability, testability, and understandability. However, there is a lack of studies investigating the effect of refactoring on security. The effect of refactoring on security is poorly understood and understudied. A limited number of studies provide the categorization of refactoring techniques based on their effect on quality attributes to assist developers in achieving their design objectives by selecting the most beneficial techniques and applying them at the right places with respect to specific software quality attributes. However, security was not considered in these studies. Therefore, this study aims to investigate the effect of refactoring techniques on security in terms of information hiding. The aforementioned objectives were achieved by conducting several steps starting with selecting suitable refactoring techniques, selecting five case studies, selecting security metrics, applying the refactoring techniques, and conducting multi-case analysis. Then, the chosen refactoring techniques were categorized based on their effect on security. The results of this study identify and analyze the effect of the refactoring techniques on security metrics and then propose a categorization of the refactoring techniques based on their effect on security metrics. The finding will help the developers select appropriate refactoring techniques to improve existing software security. © 2022 Elsevier B.V.. All rights reserved.

关键词： Computer software selection and evaluation

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Optimization of Interactive Videos Empowered the Experience of Learning Management System

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Computer Systems Science & engineering 2023年第7期46卷 1021-1038页

作者： Muhammad Akram Muhammad Waseem Iqbal M.Usman Ashraf Erssa Arif Khalid Alsubhi Hani Moaiteq Aljahdali Department of Computer Science Superior University Lahore54000Pakistan Department of Software Engineering Superior University Lahore54000Pakistan Department of Computer Science GC Women University SialkotPakistan Department of Computer Science King Abdulaziz UniversityJeddahSaudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia

The Learning management system(LMS)is now being used for uploading educational content in both distance and blended *** platform has two types of users:the educators who upload the content,and the students who have to access the *** students,usually rely on text notes or books and video tutorials while their exams are conducted with formal *** assessments and examination criteria are ineffective with restricted learning space which makes the student tend only to read the educational contents and videos instead of interactive *** aim is to design an interactive LMS and examination video-based interface to cater the issues of educators and *** is designed according to Human-computer interaction(HCI)principles to make the interactive User interface(UI)through User experience(UX).The interactive lectures in the form of annotated videos increase user engagement and improve the self-study context of users involved in *** interface design defines how the design will interact with users and how the interface exchanges *** findings show that interactive videos for LMS allow the users to have a more personalized learning experience by engaging in the educational *** result shows a highly personalized learning experience due to the interactive video and quiz within the video.

关键词： User interface user experience learning management system linear nonlinear video interactive video visual design

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Traffic Anomaly Detection Using Optimized Faster R-CNN

Traffic Anomaly Detection Using Optimized Faster R-CNN

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2024 International Conference on Electronics, Electrical and Information engineering, ICEEIE 2024

作者： Karim, Shahid Qadir, Akeel Han, Gao Li, Jing Ibrar, Muhammad Bibi, Irfana School of Information Engineering Xi'an Eurasia University 710065 China Software College Shenyang Normal University Shenyang China Department of Computer Science Faculty of Computing and Information Technology University of Punjab Punjab Lahore Pakistan

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

This paper introduces a new method for traffic anomaly identification within the Faster R-CNN framework by combining the DenseNet module with the region proposals (RPs) processing block. The suggested approach seeks to improve feature extraction and RP creation in aerial imagery or CCTV frames to get beyond the drawbacks of the current methods. Discriminative features are extracted through DenseNet, and the RPs block makes it easier to provide a wide range of accurate and varied area proposals. Contrast correction techniques are applied to overcome the difficulties presented by low-resolution and low-contrast images frequently seen in surveillance scenarios. Comparing experimental results to state-of-the-art techniques, one can observe notable resilience and detection accuracy increases. The suggested method works exceptionally well in various traffic scenarios and environmental circumstances, indicating its potential for practical implementation in traffic surveillance systems. Overall, the study contributes to advancing the efficacy and reliability of anomaly detection in urban traffic environments. © 2024 SPIE.

关键词： Aerial photography

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A Novel Contrastive Clustering Algorithm Based on K-means 4

A Novel Contrastive Clustering Algorithm Based on K-means

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4th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2023

作者： Yun, Yu Yang, Geng Li, Qin You, Jane Shenzhen Institute of Information Technology School of Software Engineering Shenzhen China Xidian University School of Telecommunications Engineering Xi'an China The Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong

ISBN: (纸本)9798350324303

Benefitting from the simplicity and ease of implementation, K-means algorithm and its variants have been extensively studied and applied. However, the similarity measure manner limits the performance of previous K-means methods. Specifically, existing methods only take the similarity between the data point and itself cluster centroid into account while failing to consider the relationship with other centroids. In this study, we propose a method called Contrastive K-means (CKm). For training, to learn satisfactory cluster centroids of input data points for clustering, CKm simultaneously considers the similarity/dissimilarity between positive/negative pairs when optimizing the cluster centroids of data. Experimental results on seven prevalent datasets substantiate that CKm surpasses other K-means and variants in performance. © 2023 IEEE.

关键词： K-means clustering

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A computer-aided speech analytics approach for pronunciation feedback using deep feature clustering

A computer-aided speech analytics approach for pronunciation...

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作者： Nazir, Faria Majeed, Muhammad Nadeem Ghazanfar, Mustansar Ali Maqsood, Muazzam Department of Software Engineering University of Engineering and Technology Taxila Taxila Pakistan Department of Data Science University of the Punjab Lahore Pakistan School of Architecture Computing and Engineering University of East London London United Kingdom Department of Computer Science COMSATS University Islamabad Attock Campus Pakistan

Nowadays, the demand for language learning is increasing because people need to communicate with other people belonging to different regions for their business deals, study, etc. During language learning, a lot of pronunciation mistakes occur due to unfamiliarity with a new language and differences in accent. In this paper, we perform speech mistakes analysis using deep feature-based clustering. We proposed two novel methods for speech analysis, one to deal with phonemic errors (confusing phonemes) and the other to deal with the prosodic errors (partially changed pronunciation variation of phones). For accurate and efficient language learning, it is important to learn both phonemic as well as prosodic error corrections. In our first method, we perform speech analysis by combining deep CNN features and clustering algorithm to detect the phonemic errors. We classify the phonemes using K-nearest neighbor, Naïve Bayes, and support vector machine (SVM). We perform experiments on the six most frequently mispronounced confusing pairs of Arabic to handle phonemic errors and achieve an accuracy of 94%. In our second method, we proposed the unsupervised phone variation model (PVM) to detect prosodic errors. In PVM, each phone is extended to represent the different types of pronunciation variation of that phone with different proficiency levels. We use an Arabic dataset of 28 individual phones for speech analysis and provide feedback based on the variation of each phone and achieves an accuracy of 97%. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Error correction

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Recursive Generation of Multi-Qubits Control Gate to Facilitate the Grover's Quantum Algorithm in Large Scale Database Search 24

Recursive Generation of Multi-Qubits Control Gate to Facilit...

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24th IEEE International Conference on software Quality, Reliability and Security Companion, QRS-C 2024

作者： Wang, Wen-Li Hussain, Shahid Rondinelli, Nathaniel V. Tang, Mei-Huei Rehman Khan, Saif Ur Penn State University Behrend Department of Computer Science and Software Engineering EriePA United States Gannon University Department of Computer Information Science EriePA United States Shifa Tameer-e-Millat University Department of Computing Islamabad44000 Pakistan

ISBN: (纸本)9798350365658

Context: Grover's algorithm is a powerful tool in the realm of quantum computing because it offers exponential speedup over classical linear searching for unstructured / unsorted search problems. However, it is challenging to construct efficient and scalable circuits for a multi-input control gate in the algorithm, particularly with a huge number of qubit inputs. Problem: Traditional circuit construction methods often require manual composition for the multi-input gate from basic quantum gates, which can be time consuming and error prone, thus hindering practical implementation. Moreover, the number of simple gates in the composition grows exponentially with the addition of each qubit. Method: This research provides an approach to recursively generate the oracle using Toffoli gates as the fundamental units to enhance scalability and reusability while maintaining effectiveness. The methodology leverages IBM Qiskit and Quantum Lab to simulate quantum computation to prove the practicality and feasibility. Result: The findings from the experiments between recursively and non-recursively generated circuits suggest that our recursive approach can offer comparable accuracy and computational complexity compared to the non-recursive approach. However, it tends to require a larger number of basic quantum gates due to a lack of circuit optimization. Conclusion: The results showcase the applicability of utilizing recursion as a speedy and economical alternative to generate circuits when implementing the Grover's algorithm. It not only presents potential scalability benefits, but also creates an avenue for further research on test verification and performance improvement to the computing community when running in actual quantum hardware. © 2024 IEEE.

关键词： Qubits

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Early Fault Detection in Rolling Element Bearings Using Signal Processing Techniques 21

Early Fault Detection in Rolling Element Bearings Using Sign...

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21st IEEE International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2024

作者： Saeed, Ali Akram, M. Usman Khan, Muazzam A. Afsar, M. Belal Quaid-i-Azam University ICESCO Big Data Analytics and Edge Computing Department of Computer Science Islamabad Pakistan National University of Sciences and Technology Department of Computer and Software Engineering Islamabad Pakistan Otto-von-Guericke University Faculty of Electrical Engineering and Information Technology Maddeburg Germany

ISBN: (纸本)9798350378078

Many studies show that bearings are the most vulnerable components in low-voltage motors. While advanced bearing diagnostic systems exist, their cost can be a barrier for non-critical machinery due to the potential wait time to see a return on investment. This research explores the feasibility of using basic signal processing techniques on vibration data for bearing condition monitoring. The primary goal is to analyze benchmark data from the Case Western Reserve University (CWRU) dataset and establish a baseline performance for this data-driven approach. The results suggest that, with appropriate signal processing, it's possible to achieve early detection of bearing faults, leading to more efficient time-To-fault identification with higher detection accuracies ranging from 83 % to 100 % for each method. © 2024 IEEE.

关键词： Signal modulation

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Age of Information in Digital Twin Migration

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IEEE Transactions on Vehicular Technology 2025年

作者： Noroozi, Kiana Todd, Terence D. Zhao, Dongmei Karakostas, George McMaster University Department of Electrical and Computer Engineering HamiltonON Canada McMaster University Department of Computing and Software HamiltonON Canada

A Digital Twin (DT) is a virtual representation of a real physical system (PS) that interacts with other objects on its behalf. In these interactions, the Age of Information (AoI) is a key performance measure that is dependent on the DT's current network server placement. To maintain acceptable AoI performance as the system evolves, the DT location may have to be moved, which is referred to as Digital Twin migration. In this paper we consider the problem of DT migration in a vehicular system, focusing on minimizing the time-averaged AoI. In this type of system, it is difficult to maintain acceptable AoI performance due to the speed of the vehicles, which can result in frequent abrupt handoffs between different cellular domains. This makes the question of when to initiate DT migration an important one. The problem is formulated as a Markovian stopping problem and an optimal online algorithm is proposed using dynamic programming and the statistics of vehicular motion. A more computationally intensive adaptive version of this algorithm is also proposed where the dynamic programming tables are recomputed at each time step. A best-in-expectation algorithm is introduced that gives sub-optimal AoI performance but is more computationally efficient than in the optimal version. These algorithms are also compared to heuristics that do immediate migration and migration at handoff. An offline algorithm is formulated that provides a lower bound on the average AoI that is attainable. Performance results show that the proposed algorithm can significantly improve the efficiency of Digital Twin migrations compared to the other approaches while guaranteeing the minimized time-averaged AoI. © 1967-2012 IEEE.

关键词： Dynamic programming

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software Security Measurements: A Survey

Software Security Measurements: A Survey

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2022 International Conference on Intelligent Technology, System and Service for Internet of Everything, ITSS-IoE 2022

作者： Almogahed, Abdullah Omar, Mazni Zakaria, Nur Haryani Alawadhi, Abdulwadood Taiz University Faculty of Engineering and Information Technology Department of Software Engineering Taiz Yemen Universiti Utara Malaysia School of Computing Sintok06010 Malaysia University of Science and Technology Faculty of Engineering and Computing Department of Computers and Information Technology Yemen

ISBN: (数字)9781665459983

ISBN: (纸本)9781665459983

Security metrics for software products give a quantifiable assessment of a software system's trustworthiness. Metrics can also help detect vulnerabilities in systems, prioritize corrective actions, and raise the level of information security within the business. There is a lack of studies that identify measurements, metrics, and internal design properties used to assess software security. Therefore, this paper aims to survey security measurements used to assess and predict security vulnerabilities. We identified the internal design properties that were used to measure software security based on the internal structure of the software. We also identified the security metrics used in the studies we examined. We discussed how software refactoring had been used to improve software security. We observed that a software system with low coupling, low complexity, and high cohesion is more secure and vice versa. Current research directions have been identified and discussed. © 2022 IEEE.

关键词： Network security

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