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Unveiling the invisible struggles: Exploring student perspectives on mental health in universities

IEEE Potentials 2024年第3期43卷 31-35页

作者： Murali, Ritwik Avudaiappan, Veeramanohar Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amrita School of Computing Coimbatore Coimbatore641112 India Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amrita School of Engineering Coimbatore Coimbatore641112 India

In the current academic environment, the increasing prevalence of stress among students has become a critical concern, significantly affecting both mental health and academic outcomes. Factors such as heavy academic workloads, interpersonal conflicts, financial challenges, and societal pressures contribute to cognitive impairments, procrastination, and declining academic performance. Unaddressed, this stress can escalate into severe mental health conditions, including anxiety, depression, and self-harming tendencies, with marginalized or overwhelmed students being particularly vulnerable. Familial expectations, financial instability, imposter syndrome, fear of missing out, cyberbullying, and unsupportive institutional cultures further intensify these challenges. While mental health support mechanisms exist within institutions, they often remain reactive, addressing issues only after they manifest. To address this growing crisis, a shift toward proactive measures is essential, encompassing counseling, meditation, peer support systems, and engagement in extracurricular activities to foster emotional resilience. A holistic and preventative approach that emphasizes early intervention, open communication, and supportive academic environments is imperative to promote students' well-being and academic success. © 1988-2012 IEEE.

关键词： Students

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Metaheuristic Secure Clustering Scheme for Energy Harvesting Wireless Sensor Networks

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computer Systems Science & engineering 2023年第4期45卷 497-512页

作者： S.Nithya Roopa P.Anandababu Sibi Amaran Rajesh Verma Department of Computer Science and Engineering Kumaraguru College of TechnologyCoimbatore641049India Department of Computer and Information Science Faculty of ScienceAnnamalai UniversityChidambaram608002India Department of Computing Technologies SRM Institute of Science and TechnologyChennai603203India Department of Electrical Engineering King Khalid UniversityAbha61411Kingdom of Saudi Arabia

Recently,energy harvesting wireless sensor networks(EHWSN)have increased significant attention among research *** harvesting energy from the neighboring environment,the sensors in EHWSN resolve the energy constraint problem and offers lengthened network *** is one of the proficient ways for accomplishing even improved lifetime in *** clustering process intends to appropriately elect the cluster heads(CHs)and construct *** several models are available in the literature,it is still needed to accomplish energy efficiency and security in *** this view,this study develops a novel Chaotic Rider Optimization Based Clustering Protocol for Secure Energy Harvesting Wireless Sensor Networks(CROC-SEHWSN)*** presented CROC-SEHWSN model aims to accomplish energy efficiency by clustering the node in *** CROC-SEHWSN model is based on the integration of chaotic concepts with traditional rider optimization(RO)***,the CROC-SEHWSN model derives a fitness function(FF)involving seven distinct parameters connected to *** accomplish security,trust factor and link quality metrics are considered in the *** design of RO algorithm for secure clustering process shows the novelty of the *** order to demonstrate the enhanced performance of the CROC-SEHWSN approach,a wide range of simulations are carried out and the outcomes are inspected in distinct *** experimental outcome demonstrated the superior performance of the CROC-SEHWSN technique on the recent approaches with maximum network lifetime of 387.40 and 393.30 s under two scenarios.

关键词： Clustering wireless sensor networks network lifetime energy efficiency metaheuristics energy harvesting rider optimization

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Hierarchical Fault-Tolerant NoC Architecture for Reliable Communication 17

Hierarchical Fault-Tolerant NoC Architecture for Reliable Co...

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17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2024

作者： Khalil, Kasem Mohaidat, Tamador Sherif, Ahmed Bayoumi, Magdy University of Mississippi Department of Electrical and Computer Engineering MS United States University of Southern Mississippi School of Computing Sciences and Computer Engineering MS United States University of Louisiana Department of Electrical and Computer Engineering LafayetteLA United States

ISBN: (纸本)9798331530471

As multi-core systems continue to grow in complexity, Network-on-Chip (NoC) architectures have emerged as a scalable and efficient solution for managing on-chip communication. However, ensuring reliable communication in the presence of router faults remains a critical challenge, particularly for applications in safety-critical systems where failure can lead to catastrophic consequences. This paper proposes a novel fault-tolerant NoC architecture designed to improve reliability in multi-core systems. The proposed method divides the NoC into multiple regions, each managed by a dedicated Region Router (RR) and interconnected via a Centralized Router (CR). This hierarchical structure ensures that even in the presence of multiple faulty routers, data packets can be rerouted effectively, maintaining system functionality. We implement the proposed method on a Xilinx Virtex-7 FPGA and evaluate its performance in terms of latency, throughput, power consumption, and resource utilization. The experimental results demonstrate that the proposed method achieves a 15% improvement in system reliability with only a 3.2% increase in resource utilization, compared to the baseline NoC. Additionally, Mean Time to Failure (MTTF) is extended by 25%, while the latency remains within an acceptable range of 3.2 ns. These findings highlight the potential of our approach for use in safety-critical and high-performance computing systems, offering enhanced fault tolerance without significantly compromising performance. © 2024 IEEE.

关键词： Hierarchical systems

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Design of Rule Translator for Temporal Rules Execution of BM-DEVS Model 15th

Design of Rule Translator for Temporal Rules Execution of BM...

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15th International Conference on computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2023

作者： Ahn, Jungsub Cho, Taeho Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of College of Computing and Informatics Sungkyunkwan University Suwon16419 Korea Republic of

ISBN: (纸本)9789819724468

With the increasing complexity of systems, various studies are being conducted to accurately express and solve problems. Discrete Event System Specification (DEVS), one of the simulation theories, expresses a problem as a hierarchical model. The Behavior Monitoring-DEVS (BM-DEVS) theory is an extension of DEVS. It monitors the behavior of interest by expressing it as temporal rules in the model. In BM-DEVS, the defined temporal rules need to be converted into Büchi automata and applied to the model to evaluate the behavior expressed by the rules. To achieve this, modelers need to translate temporal rules into automata and verify these. This consumes a substantial amount of time. To solve this problem, this paper proposes a method to automatically translate temporal rules into automata for rule evaluation. In this proposed method, when temporal rules are input, structuring work is performed to match the rule structure and model structure. Moreover, a more convenient modeling environment is provided to modelers through the rule expansion function. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Automata theory

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Synthetic PMU Data Creation Based on Generative Adversarial Network Under Time-varying Load Conditions

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 234-242页

作者： Xiangtian Zheng Andrea Pinceti Lalitha Sankar Le Xie Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77840USA Dominion Energy RichmondVA 23219USA School of Electrical Computerand Energy EngineeringArizona State UniversityTempeAZ 85281USA IEEE

In this study,a machine learning based method is proposed for creating synthetic eventful phasor measurement unit(PMU)data under time-varying load *** proposed method leverages generative adversarial networks to create quasi-steady states for the power system under slowly-varying load conditions and incorporates a framework of neural ordinary differential equations(ODEs)to capture the transient behaviors of the system during voltage oscillation events.A numerical example of a large power grid suggests that this method can create realistic synthetic eventful PMU voltage measurements based on the associated real PMU data without any knowledge of the underlying nonlinear dynamic *** results demonstrate that the synthetic voltage measurements have the key characteristics of real system behavior on distinct time scales.

关键词： TermsPhasor measurement unit(PMU) generative adversarial networks neural ordinary differential equations data-driven method

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Optimizing Cloud computing Task Schedules Through Advanced Intelligent Optimization Methods

Optimizing Cloud Computing Task Schedules Through Advanced I...

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International IoT, Electronics and Mechatronics Conference, IEMTRONICS 2024

作者： Ammari, Ahmed Chiheb Al Hmouz, Rami Khriji, Lazhar Zhou, MengChu Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Muscat Oman Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102 United States

ISBN: (纸本)9789819747832

The number of Distributed Green Cloud Datacenters (DGCDs) is globally increasing. Such DGCDs deploy different types of renewable sources to generate clean energy and save money. They are located in different regions depending on the availability of renewable energy sources, costs of bandwidth and grid electricity prices. This paper focuses on applications within them, which are sensitive to delay and looks into a way to schedule different applications with respect to time constraint. The paper uses the Firefly algorithm, bat algorithm and simulated annealing-bat algorithms as optimization techniques to minimize total operational cost of such DGCDs. These algorithms have been compared through data-driven experiments carried out in this study. Of particular note is the Firefly algorithm's superior performance when compared with others. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Simulated annealing

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High Efficient Delta-Sigma Modulator Utilizing Multi-Stage Noise Shaping Structure

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Journal of Lightwave Technology 2024年第8期42卷 2693-2701页

作者： Jian, Yin-He Wei, Tzu-Chieh Chow, Chi-Wai National Yang Ming Chiao Tung University Department of Photonics Graduate Institute of Electro-Optical Engineering College of Electrical and Computer Engineering Hsinchu30010 Taiwan

Recently, several Delta-Sigma modulators (DSMs) with ultra-high quadrature-amplitude-modulation (QAM) order larger than one million, e.g., 1048576 and 4194304 QAM are reported. As different DSM works were implemented with different oversampling rates (OSRs), and pursuing a higher DSM QAM order seems to deviate from its original idea to achieve high spectral efficiency. Up to the authors' knowledges, there is still no comprehensive comparison of the intrinsic efficiencies of different DSM works. In this work, we first summarize the recent DSM works and compare their efficiencies. We also propose and demonstrate a 1-bit DSM and a 2-bit multi-stage noise shaping (MASH) DSM for the baseband-over-fiber system. The modified 1-bit DSM can achieve record efficiencies of 0.589 and 0.665 under the hard-decision (HD) and the 25% soft-decision (SD) forward error correction (FEC) requirements, respectively. The 2-bit MASH DSM can also achieve record efficiencies of 1.025 (HD) and 1.150 (SD) respectively. © 1983-2012 IEEE.

关键词： Low pass filters

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Contemporary Study for Detection of COVID-19 Using Machine Learning with Explainable AI

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computers, Materials & Continua 2024年第7期80卷 1075-1104页

作者： Saad Akbar Humera Azam Sulaiman Sulmi Almutairi Omar Alqahtani Habib Shah Aliya Aleryani Department of Computer Science University of KarachiKarachi75270Pakistan Department of Computing Faculty of Engineering Science and TechnologyHamdard UniversityKarachi75540Pakistan Department of Health Informatics College of Applied Medical SciencesQassim UniversityQassim51452Saudi Arabia Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia

The prompt spread of COVID-19 has emphasized the necessity for effective and precise diagnostic *** this article,a hybrid approach in terms of datasets as well as the methodology by utilizing a previously unexplored dataset obtained from a private hospital for detecting COVID-19,pneumonia,and normal conditions in chest X-ray images(CXIs)is proposed coupled with Explainable Artificial Intelligence(XAI).Our study leverages less preprocessing with pre-trained cutting-edge models like InceptionV3,VGG16,and VGG19 that excel in the task of feature *** methodology is further enhanced by the inclusion of the t-SNE(t-Distributed Stochastic Neighbor Embedding)technique for visualizing the extracted image features and Contrast Limited Adaptive Histogram Equalization(CLAHE)to improve images before extraction of ***,an AttentionMechanism is utilized,which helps clarify how the modelmakes decisions,which builds trust in artificial intelligence(AI)*** evaluate the effectiveness of the proposed approach,both benchmark datasets and a private dataset obtained with permissions from Jinnah PostgraduateMedical Center(JPMC)in Karachi,Pakistan,are *** 12 experiments,VGG19 showcased remarkable performance in the hybrid dataset approach,achieving 100%accuracy in COVID-19 *** classification and 97%in distinguishing normal ***,across all classes,the approach achieved 98%accuracy,demonstrating its efficiency in detecting COVID-19 and differentiating it fromother chest disorders(Pneumonia and healthy)while also providing insights into the decision-making process of the models.

关键词： COVID-19 detection deep neural networks support vector machine CXIs InceptionV3 VGG16 VGG19 t-SNE embedding CLAHE attention mechanism XAI

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A Promising Approach for Next-Generation Mobile Communications 3

A Promising Approach for Next-Generation Mobile Communicatio...

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3rd International Conference on electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Abdulhussien, Saif A. Hamza, Noor Aldeen Ibrahim, Sarmad K. Mustansiriyah University College of Engineering Electrical Engineering Department Baghdad Iraq Mustansiriyah University College of Engineering Computer Engineering Department Baghdad Iraq

ISBN: (纸本)9798350369083

The introduction of 5G technology has intensified the demand for higher throughput in mobile communications. This study identifies and addresses key obstacles to optimal 5G throughput, focusing on spectrum allocation, interference mitigation, and resource management. We propose an innovative approach utilizing advanced algorithms and resource management strategies to enhance throughput efficiency. Simulations and real-world experiments demonstrate a 27% improvement in throughput performance over traditional 5G systems. This research contributes to ongoing 5G advancements by providing practical solutions to current throughput challenges, highlighting the potential of our technology to significantly enhance the performance and efficiency of future wireless communication systems. © 2024 IEEE.

关键词： 5G mobile communication systems

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Distortion minimization for multimedia transmission in NOMA HAP-UAV integrated aerial access networks

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Chinese Journal of Aeronautics 2022年第9期35卷 81-94页

作者： Guobin ZHANG Zhu HAN Hang XIN Xin WEI Boya DI School of Electrical Engineering and Intelligentization Dongguan University of TechnologyDongguan 523808China Department of Electrical and Computer Engineering and Department of Computer Science University of HoustonTX77004USA School of Computer Science and Technology Dongguan University of TechnologyDongguan 523808China Department of Computing Imperial CollegeLondon SW72AzUK

Aerial access networks have been envisioned as a promising 6G solution to enhance the ground communication systems in both coverage and capacity. To better utilize the spectrum and fully explore different channel characteristics, this paper constructs an integrated network comprising the High Altitude Platform(HAP) and Unmanned Air Vehicles(UAVs) with the NonOrthogonal Multiple Access(NOMA) technology. In order to improve the transmission quality of images and videos, a power management scheme is proposed to minimize the distortion of the transmissions from the HAP and UAVs to the terminals. The power control is formulated as a non-convex problem constrained by the maximal transmit power and the minimal terminal rate requirements. The variable substitution and the first-order Tailor’s expansion is used to transform it into a sequence of convex problems, which are subsequently solved through the gradient projection method. Simulation demonstrates the signal distortion and error rate improvement achieved by the proposed algorithm.

关键词： Aerial Access Networks High Altitude Platform Non-Orthogonal Multiple Access Sixth-Generation Unmanned Air Vehicles

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