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A Novel Intelligent Task Offloading Scheme for Multicontroller Environment in Software Defined Internet of Vehicles

IEEE Internet of Things Journal 2025年第12期12卷 20018-20029页

作者： Hussain, Mir Wajahat Sangaiah, Arun Kumar Reddy, K. Hemant Kumar Roy, Diptendu Sinha Alenazi, Mohammed J. F. Javvaji, Pavan Kumar Alliance University Department of Computer Science and Engineering Alliance College of Engineering and Design Anekal562106 India National Yunlin University of Science and Technology International Graduate Institute of Artificial Intelligence Yunlin Douliu64002 Taiwan Sunway University School of Engineering and Technology Subang Jaya47500 Malaysia University Centre for Research and Development Chandigarh University Mohali140413 India VIT-AP University School of Computer Science and Engineering Amaravati522237 India National Institute of Technology Department of Computer Science and Engineering Shillong793003 India King Saud University College of Computer and Information Sciences Department of Computer Engineering Riyadh11451 Saudi Arabia

The Internet of Vehicles (IoV), equipped with sensors, generates vast amounts of data, demanding rigorous computation and network. The cloud computing (CC) platform meets these stringent computation requirements, but it has a significant latency that fog computing (FC) effectively handles. Software defined network (SDN) has become the de facto standard for next-generation networking due to its unique and flexible features, which handle the network prerequisites in an agile manner. Task offloading (TO) is a crucial issue in software defined-IoV (SD-IoV), particularly when the vehicle’s resources are insufficient. Fog nodes schedule offloaded tasks;however, neglecting computational and network details during task scheduling can lead to longer completion times, thereby restricting the functionality of SD-IoV due to its time-sensitive nature. Therefore, this article introduces two proactive intelligent TO (ITO’ and ITO) schemes. These schemes schedule tasks onto fog nodes with enhanced computational capabilities, dynamically enable the network through the ovs-ofctl SDN utility, and consider vehicle mobility during task scheduling. Experiments with Mininet show that the proposed (ITO’ and ITO) schemes improve performance in terms of CPU availability, bandwidth, and throughput by 5.2 times, 50% and (30.7–13.9)% more than the existing scheme. They also reduce average packet loss, delay, round trip time (RTT), and offloaded node time selection by (45.35–21.3)%, (50–33.3)%, (53.9–9.9)% and (43.2–26.06)% which demonstrates the efficacy of the proposed scheme. © 2014 IEEE.

关键词： Fog computing

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Statistical assessment of Indian classical music’s role in diabetes, thyroid, hypertension management

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International Journal of Information Technology (Singapore) 2025年第1期17卷 423-429页

作者： Pingle, Yogesh Prabhakar Ragha, Lakshmappa K. Research Scholar at Department of Computer Engineering Terna Engineering College Assistant Professor at Department of Computer Science and Engineering (Data Science) Vidyavardhinis College of Engineering and Technology University of Mumbai Maharashtra Mumbai India Department of Computer Engineering Terna Engineering College University of Mumbai Maharashtra Mumbai India

This multi-center randomized controlled trial explores the therapeutic benefits of Indian classical music, specifically “Raga Therapy,” for managing diabetes, thyroid disorders, and hypertension—prevalent global health issues. The study examines how specific Ragas can enhance traditional treatments: Bhimpalas and Chhanayat for hypertension, Malkauns and Bhupal Todi for diabetes, and Shyam Kalyan and Yaman for thyroid disorders. Results show significant health improvements in patients integrating Raga Therapy into their care, highlighting its holistic benefits. The study underscores the profound connection between music and healing, positioning Indian classical music as a valuable complementary therapy. By addressing a critical gap in the literature, it advocates for further research to understand the mechanisms involved and refine Raga selection for optimal therapeutic outcomes. © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Paired t-test Patient satisfaction survey Raga Therapy Wilcoxon signed-rank test

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A Comprehensive Study of Water Quality Trends and Seasonal Variations in Coastal Bays 2

A Comprehensive Study of Water Quality Trends and Seasonal V...

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2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry, IDICAIEI 2024

作者： Sharma, Mansi Kumar, Praveen Department of Computer Science and Design Wardha India Department of Computer Science and Medical Engineering Wardha India

ISBN: (纸本)9798331528713

Monitoring and analysing water quality parameters is fundamental for the early detection of natural changes in coastal bays. This paper examines regular varieties and relationships among key water quality parameters - salinity, broken up oxygen, pH, Secchi profundity, water profundity, and water temperature - collected from a coastal bay over a period in 1994. Information preprocessing included changing over dates to a standardized arrange and guaranteeing numerical consistency over parameters. Exploratory data analysis (EDA) given experiences into the temporal patterns of individual parameters. Consequent relationship examination revealed significant interdependencies among the parameters, highlighting potential impacts of seasonal and environmental components. The paper moreover reviewed monthly midpoints to recognize regular designs. Line plots laid out the varieties in saltiness, broken up oxygen, pH, and water temperature over differing months, emphasizing the cyclic nature of these parameters. Comes about appear unmistakable regular designs, such as higher broken down oxygen levels amid colder months and assortments in saltiness comparing to potential freshwater convergences. These revelations emphasize the centrality of nonstop water quality watching to induce it the energetic natural forms impacting coastal ecosystems. This investigate contributes to natural administration methods by giving a comprehensive examination of water quality variances, helping inside the definition of approaches for the conservation and economical administration of coastal bay regions. © 2024 IEEE.

关键词： Abiotic

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An Electrical Impedance Imaging System Towards Edge Intelligence for Non-Destructive Testing of Concrete

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Tsinghua science and Technology 2024年第3期29卷 883-896页

作者： Abolfazl Roshanpanah Mahdi Abbasi Hani Attar Ayman Amer Mohammad R.Khosravi Ahmed A.Solyman Department of Electrical Engineering Islamic Azad UniversityScience and Research BranceTehran ***Iran Department of Computer Engineering Bu-Ali Sina UniversityHamedan ***Iran Department of Energy Engineering Zarqa UniversityZarqa 13110Jordan Department of Computer Engineering Persian Gulf UniversityBushehr ***Iran Department of Electrical and Electronics Engineering Faculty of Engineering and ArchitectureNişantaşıUniversityIstanbul 34398Turkey

In the construction industry,to prevent accidents,non-destructive tests are necessary and *** impedance tomography is a new technology in non-invasive imaging in which the image of the inner part of conductive bodies is reconstructed by the arrays of external electrodes that are connected on the periphery of the *** equipment is cheap,fast,and edge *** this imaging method,the image of electrical conductivity distribution(or its opposite;electrical impedance)of the internal parts of the target object is *** image reconstruction process is performed by injecting a precise electric current to the peripheral boundaries of the object,measuring the peripheral voltages induced from it and processing the collected *** an electrical impedance tomography system,the voltages measured in the peripheral boundaries have a non-linear equation with the electrical conductivity *** paper presents a cheap Electrical Impedance Tomography(EIT)instrument for detecting impurities in the concrete.A voltage-controlled current source,a micro-controller,a set of multiplexers,a set of electrodes,and a personal computer constitute the structure of the *** conducted tests on concrete with impurities show that the designed EIT system can reveal impurities with a good accuracy in a reasonable time.

关键词： non-destructive testing system concrete electrical impedance tomography

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A Two-Stage Deep Learning Approach for Optimizing Fashion Product Recommendations

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SN computer science 2025年第4期6卷 1-13页

作者： Buradagunta, Suvarna Balakrishna, Sivadi Department of Computer Science and Engineering Vignan’s Foundation for Science Technology and Research Guntur India Department of Advanced Computer Science and Engineering Vignan’s Foundation for Science Technology and Research Guntur India

Online shopping platforms are experiencing rapid growth, necessitating effective product recommendation systems to enhance customer satisfaction by recommending visually similar products. Traditional statistical techniques often result in less accurate recommendations. This study encompasses two primary tasks: Query Product Classification and Product Recommendation Retrieval. The initial job employs a Deep Neural Network, which takes high-level feature representations derived from the Xception and VGG16 for the query image. The features are further analyzed to forecast the category of the product. The second step is retrieving analogous products by calculating cosine similarity, facilitating the identification of visually comparable items within the product database. By leveraging diverse feature representations, the proposed approach improves the precision and relevance of recommendations. Experimental evaluations on fashion product images and Shoe datasets demonstrate significant performance improvements over existing models, achieving accuracies of 91.76%, and 82.23% respectively. These results underscore the capability of the system to provide superior recommendations in online fashion shopping scenarios, emphasizing its effectiveness in improving customer experience. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Content-based recommendation Image based recommendation system Pretrained models Recommendation systems VGG-16 Visual product recommendation Xception

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A Comparative Analysis of Diabetes Prediction System Using Regressor Methods

A Comparative Analysis of Diabetes Prediction System Using R...

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2024 IEEE International Conference on Intelligent Computing and Emerging Communication Technologies, ICEC 2024

作者： Sharma, Mansi Kumar, Praveen Puri, Chetan Department of Computer Science and Design Wardha India Department of Computer Science and Medical Engineering Wardha India

ISBN: (纸本)9798331508432

Hyperglycaemia may be a trademark of diabetes mellitus, a chronic metabolic disease that has picked up universal consideration. The administration of diabetes and its related complications depends intensely on early recognizable proof and prevention. Routine approaches to diabetes conclusion can involve intrusive examinations and drawn-out methods. The objective of this development is to utilize machine learning procedures to make a solid and successful diabetes prediction system. A dataset comprising a few patient features, such as age, gender, BMI, affront and glucose levels, pregnancy history, and other related data, is utilized by the recommended framework. In arrange to suit lost values and standardize the information, certain characteristics are pre-processed. Predictive models are at that point prepared utilizing machine learning strategies with logistic regression, support vector machines, random forest, and gradient boosting. Metrics like as accuracy, precision, recall, F1-score, and zone beneath the bend (AUC) are utilized to assess the execution of the show. These measures are utilized to decide which show performs the finest and how well it generalizes to unused information. The system's user-friendly interface makes it simple to enter quiet data and get a anticipated diabetes determination. The ponder progresses the determination of diabetes by giving a non-invasive strategy which will be more exact. Way better early detection might lead to provoke mediation and made strides ailment administration in case the proposed approach is actualized. Additionally, it can reduce the toll that diabetes has on healthcare frameworks and offer assistance therapeutic professionals make well-informed choices. © 2024 IEEE.

关键词： Prediction models

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Dynamic-EC:an efficient dynamic erasure coding method for permissioned blockchain systems

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Frontiers of computer science 2025年第1期19卷 15-28页

作者： Mizhipeng ZHANG Chentao WU Jie LI Minyi GUO Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai 200200China Yancheng Blockchain Research Institute Hengyang 421200China

Blockchain as a decentralized storage technology is widely used in many *** has extremely strict requirements for reliability because there are many potentially malicious ***,blockchain is a chain storage structure formed by interconnecting blocks1),which are stored by full replication method,where each node stores a replica of all blocks and the data consistency is maintained by the consensus *** decrease the storage overhead,previous approaches such as BFT-Store and Partition Chain store blocks via erasure ***,existing erasure coding based methods utilize static encoding schema to tolerant f malicious nodes,but in the typical cases,the number of malicious nodes is much smaller than f as described in previous *** redundant parities to tolerate excessive malicious nodes introduces unnecessary storage *** solve the above problem,we propose Dynamic-EC,which is a Dynamic Erasure Coding method in permissioned blockchain *** key idea of Dynamic-EC is to reduce the storage overhead by dynamically adjusting the total number of parities according to the risk level of the whole system,which is determined by the number of perceived malicious nodes,while ensuring the system *** demonstrate the effectiveness of Dynamic-EC,we conduct several experiments on an open source blockchain software *** results show that,compared to the state-of-the-art erasure coding methods,Dynamic-EC reduces the storage overhead by up to 42%,and decreases the average write latency of blocks by up to 25%,respectively.

关键词： blockchain Byzantine Fault Tolerance(BFT) erasure coding consensus reputation evaluation

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Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach

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IEEE Access 2024年 12卷 114023-114045页

作者： Gambo, Ishaya Massenon, Rhodes Lin, Chia-Chen Ogundokun, Roseline Oluwaseun Agarwal, Saurabh Pak, Wooguil Obafemi Awolowo University Department of Computer Science and Engineering Ile-Ife220282 Nigeria National Chin-Yi University of Technology Department of Information Computer Science and Information Engineering Taichung411 Taiwan Kaunas University of Technology Department of Centre of Real Time Computer Sciences Kaunas44249 Lithuania Landmark University Department of Computer Science Omu-Aran251103 Nigeria Yeungnam University Department of Information and Communication Engineering Gyeongsan38541 Korea Republic of

Mobile app developers struggle to prioritize updates by identifying feature requests within user reviews. While machine learning models can assist, their complexity often hinders transparency and trust. This paper presents an explainable Artificial Intelligence (AI) approach that combines advanced explanation techniques with engaging visualizations to address this issue. Our system integrates a bidirectional Long Short-Term Memory (BiLSTM) model with attention mechanisms, enhanced by Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP). We evaluate this approach on a diverse dataset of 150,000 app reviews, achieving an F1 score of 0.82 and 89% accuracy, significantly outperforming baseline Support Vector Machine (F1: 0.66) and Convolutional Neural Network (CNN) (F1: 0.72) models. Our empirical user studies with developers demonstrate that our explainable approach improves trust (27%) when explanations are provided and correct interpretation (73%). The system's interactive visualizations allowed developers to validate predictions, with over 80% overlap between model-highlighted phrases and human annotations for feature requests. These findings highlight the importance of integrating explainable AI into real-world software engineering workflows. The paper's results and future directions provide a promising approach for feature request detection in app reviews to create more transparent, trustworthy, and effective AI systems. © 2013 IEEE.

关键词： Mobile applications

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Designing Secure IoT Systems: A Survey of Existing Approaches and Future Directions 2

Designing Secure IoT Systems: A Survey of Existing Approache...

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2nd International Conference on Emerging Trends in Information Technology and engineering, ic-ETITE 2024

作者： Praveen, T.N.V.S. Odugu, Rama Devi Lingamgunta, Sumalatha Jntuk Department of Computer Science &engineering Kakinada India Lakireddy Balireddy College of Engineering Department of Computer Science &engineering Mylavaram India

ISBN: (纸本)9798350328202

The Internet of Things (IoT) has emerged as a transformative technology, connecting a wide array of devices and enabling seamless communication and data exchange. However, the rapid proliferation of IoT devices has brought forth significant security challenges, making them susceptible to various cyber-attacks. This research paper explores the design of security schemes for the detection and prevention of attacks on IoT systems. It examines the major threats faced by IoT deployments and proposes comprehensive security measures to safeguard these interconnected devices and networks. The proposed schemes encompass a multi-layered approach, including intrusion detection systems, secure communication protocols, and encryption techniques, to mitigate the risks and enhance the overall security posture of IoT ecosystems. © 2024 IEEE.

关键词： Data visualization

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On the Performance Analysis of UE-VBS-Based Wireless Communications: Network Outages, Resource Utilization, and Optimization

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IEEE Access 2025年 13卷 94585-94610页

作者： Ioannou, Iacovos I. Khalifeh, Ala' Nagaradjane, Prabagarane Christophorou, Christophoros Vassiliou, Vasos Neokleous, Orestis Pitsillides, Andreas University of Cyprus Department of Computer Science Nicosia1678 Cyprus CYENS—Center of Excellence Nicosia1678 Cyprus German Jordanian University Department of Computer Science Amman11180 Jordan Sri Sivasubramaniya Nadar College of Engineering Department of ECE Chennai603110 India Department of Computer Science Larnaca7080 Cyprus University of Johannesburg Department of Electrical and Electronic Engineering Johannesburg2006 South Africa

User Equipment as a Virtual Base Station (UE-VBS) computing paradigm represents a significant advancement in wireless networking. It enables User Equipment (UE) to form: i) Virtual Base Stations (VBSs) by dynamically integrating Cluster Heads (referred to as UE-VBSCH), or Virtual Relays (referred to as UE-VBSRL), in the far-edge domain. This research focuses on enhancing the Quality of Service (QoS) (and thereby improving user experience) in networks supported by UE-VBS computing through outage prediction, network optimization, and advanced wireless techniques. In addition, the paper presents a detailed outage probability analysis and explores the trade-off between efficiency and reliability (namely, spectral and energy efficiency and link-level reliability (outage probability)), which are core contributions of this work. For a representative urban density of 2 UEs per m2, a single-hop UE-VBS slice lowers the outage probability from 0.78 to 0.23, raises the peak area-spectral efficiency to 4.3 bits−1 Hz−1 ( ≈ 4.8x the baseline), and delivers an energy efficiency of 2.4 x 105 bit J−1 (≈ 4.6x improvement). These concrete figures substantiate the claimed gains and illustrate how UE-VBS computing simultaneously improves efficiency and reliability. Specifically, it provides a thorough examination of UE-VBS computing’s capacity to enhance service quality, reduce congestion, and promote energy efficiency. Also, it empirically confirms UE-VBS computing’s superior performance, including mitigating coverage gaps coverage gaps are localized areas inside a nominally covered cell where received SINR falls below the outage threshold because of shadowing or cell-edge distance), optimizing network traffic, and reducing battery consumption compared to traditional networks/non-UE-VBS computing-supported networks. Enhanced QoS aims to minimize the challenges associated with restricted network coverage, ensuring consistent data transmission rates and improving overall user satisfaction

关键词： Data communication systems

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