检索结果-内蒙古大学图书馆

Optimizing energy efficiency in wireless sensor networks: dynamic routing with capuchin search algorithm

Multimedia Tools and Applications 2025年第15期84卷 15453-15477页

作者： Karthikeyan, M. Manimegalai, D. Rajagopal, Karthikeyan Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai India Department of Electrical and Electronics Engineering Rajalakshmi Engineering College Chennai India Centre for Nonlinear System Chennai Institute of Technology Chennai India

The Internet of Things (IoT) has significantly advanced wireless communication and machine intelligence, leading to diverse applications. However, the continuous evolution of smartphones and IoT devices presents challenges for wireless sensor networks (WSNs), impacting Quality of Service (QoS) requirements. This paper proposes a solution in the form of the Capuchin Search Optimization Routing Protocol (CSORP), a multipath protocol based on the Capuchin Search Optimization (CSO) algorithm. The aim is to address QoS limitations, including end-to-end delay, power consumption, and packet transmission delay, caused by the increasing influx of IoT devices in wireless networks. The proposed CSORP is designed for WSN-based IoT devices experiencing high traffic loads and unfair network flow. Evaluation using network simulator-3 and a comparison with existing routing protocols (AODV, DSDV, I-DSDV, and DSR) demonstrate the benefits of CSORP, including an 88% packet delivery ratio, a minimum distribution speed of 0.5 m/s, a latency of 35 ms (compared to I-DSDV's 79 ms), mobility speed of three packets per second with less packet loss (0.7), and a high routing load parameter of 92%, indicating potential energy savings. In conclusion, CSORP offers advantages such as energy efficiency, low latency, high packet delivery ratio, ample bandwidth, and reduced normalization demand, making it a promising solution for improving WSN performance and QoS metrics in IoT scenarios. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

Impact of Process-Induced Inclined Side-Walls on Gate Leakage Current of Nanowire GAA MOSFETs

引用

IEEE Transactions on Electron Devices 2024年第3期71卷 2196-2202页

作者： Maniyar, Ashraf Raj, Pushp Srinivas, P.S.T.N. Kumar, Arun Chang-Liao, Kuei-Shu Tiwari, Pramod Kumar Indian Institute of Technology Patna Department of Electrical Engineering Bihar Patna801106 India Vellore Institute of Technology School of Electronics Engineering Vellore801106 India National Institute of Technology Silchar Department of Electronics and Communication Engineering Silchar788010 India National Tsing Hua University Department of Engineering and System Science Hsinchu30013 Taiwan

In this work, the influence of process-induced sidewall inclination on direct tunneling gate leakage current (IG) in the trapezoidal (Tz) channel NW GAA MOSFETs has been comprehensively investigated using experimental data and the TCAD simulations results. Variability in device parameters as channel length, height, and width have been taken into account when we examined gate leakage current. The side-wall inclination angle has a significant influence on the gate leakage current, where a rise in IG of up to two times is observed when the inclination angle is increased from 0 to 20. Moreover, it has also been observed that the direct tunneling gate leakage current is significantly influenced by the gate overlap and underlap areas. © 1963-2012 IEEE.

关键词： III-V semiconductors

来源：评论

学校读者我要写书评

暂无评论

Optimal SOC Headroom of Pump Storage Hydropower for Maximizing Joint Revenue from Day-ahead and Real-time Markets Under Regional Transmission Organization Dispatch

引用

Journal of Modern Power systems and Clean Energy 2024年第1期12卷 238-250页

作者： Yikui Liu Bing Huang Yang Lin Yonghong Chen Lei Wu Electrical and Computer Engineering Department Stevens Institute of TechnologyHobokenNJ 07030USA Midcontinent Independent System Operator Inc.CarmelIN 46032USA

In response to the increasing penetration of volatile and uncertain renewable energy,the regional transmission organizations(RTOs)have been recently focusing on enhancing the models of pump storage hydropower(PSH)plants,which are one of the key flexibility assets in the day-ahead(DA)and real-time(RT)markets,to further boost their flexibility provision *** by the recent research works that explored the potential benefits of excluding PSHs’cost-related terms from the objective functions of the DA market clearing model,this paper completes a rolling RT market scheme that is compatible with the DA ***,with the vision that PSHs could be permitted to submit state-of-charge(SOC)headrooms in the DA market and to release them in the RT market,this paper uncovers that PSHs could increase the total revenues from the two markets by optimizing their SOC headrooms,assisted by the proposed tri-level optimal SOC headroom ***,in the proposed tri-level model,the middle and lower levels respectively mimic the DA and RT scheduling processes of PSHs,and the upper level determines the optimal headrooms to be submitted to the RTO for maximizing the total revenue from the two *** case studies quantify the profitability of the optimal SOC headroom submissions as well as the associated financial risks.

关键词： Pump storage hydropower energy market state-of-charge(SOC) headroom market revenue tri-level problem

来源：评论

学校读者我要写书评

暂无评论

ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification

引用

Neural Computing and Applications 2025年第9期37卷 6583-6600页

作者： Swapno, S M Masfequier Rahman Nobel, S. M. Nuruzzaman Islam, Md Babul Bhattacharya, Pronaya Mattar, Ebrahim A. Department of CSE Bangladesh University of Business and Technology Dhaka1216 Bangladesh Department of Computer Modeling Electronic and System Engineering UNICAL Rende Italy Department of Computer Science and Engineering Amity School of Engineering and Technology and Research and Innovation Cell Amity University West Bengal Kolkata India Robotics - Cybernetic College of Engineering University of Bahrain Manama Bahrain

Tomatoes are essential fruits in numerous nations for their vast demand. It is very important to maintain the freshness of tomatoes. One of the primary challenges in the recent culinary landscape is accurately identifying healthy tomatoes while effectively eliminating damaged or rejected ones. Existing approaches employ various strategies for categorizing tomato fruit, but they often suffer from inaccuracies, slow detection, and suboptimal performance. Thus, motivated by this gap, in this paper, we propose a novel machine learning (ML) framework, ViT-SENet-Tom, which is a hybrid vision transformer (ViT) model with squeeze and excitation (SENet) block network for fast, accurate, and efficient tomato fruit classification. The framework works on three tomato classes, respectively, the ripe, unripe, and reject. In developing the proposed model, we utilized advanced and newly designed layers and functions. This integration created a more complex and sophisticated neural network, significantly enhancing efficiency and contributing to the model’s novelty. Our chosen dataset was small initially, but we implemented augmentation techniques to increase its size. This approach made our system more reliable, efficient, and effective. The hybrid ViT-SENet framework employs encoders and self-attention networks with squeeze and excitation channel functions to allow precise, robust, fast, and efficient tomato classification. In simulation, the framework achieves a training accuracy of 99.87% and validation accuracy of 93.87%, indicating the precise classification of tomatoes. Besides, this work tests accuracy using fivefold cross-validation. The highest accuracy seen at fold-5 is 99.90%. These testing results demonstrate the efficacy of the proposed framework in real-deployment scenarios. The implementation has the potential to provide enhanced and more sustainable food security and safety in future. © The Author(s) 2025.

关键词： Fruits

来源：评论

学校读者我要写书评

暂无评论

Comparison of commercial silicon-based anode materials for the design of a high-energy lithium-ion battery

引用

Nano Research 2024年第6期17卷 5270-5277页

作者： Minhong Choi Eunhan Lee Jaekyung Sung Namhyung Kim Minseong Ko Division of Convergence Materials Engineering Pukyong National UniversityBusan 48547Republic of Korea Department of Materials Engineering and Convergence Technology Gyeongsang National University501 Jinju-daeroJinju 52828Republic of Korea Department of Materials System Engineering Pukyong National UniversityBusan 48547Republic of Korea

Silicon(Si)is considered a potential alternative anode for next-generation Li-ion batteries owing to its high theoretical capacity and ***,the commercial use of Si anodes is hindered by their large volume expansion(~300%).Numerous efforts have been made to address this *** these efforts,Si-graphite co-utilization has attracted attention as a reasonable alternative for high-energy anodes.A comparative study of representative commercial Si-based materials,such as Si nanoparticles,Si suboxides,and Si−Graphite composites(SiGC),was conducted to characterize their overall performance in high-energy lithium-ion battery(LIB)design by incorporating conventional ***-Si was found to exhibit poor electrochemical performance,with severe volume expansion during *** suboxide provided excellent cycling stability in a full-cell evaluation with stable volume variation after 50 cycles,but had a large irreversible capacity and remarkable volume expansion during the first *** displayed a good initial Coulombic efficiency and the lowest volume change in the first cycle owing to the uniformly distributed nano-Si layer on graphite;however,its long-term cycling stability was relatively *** complement each disadvantage of Si suboxide and SiGC,a new combination of these Si-based anodes was suggested and a reasonable improvement in overall battery performance was successfully achieved.

关键词： silicon-based anode high-energy comparison lithium ion battery blended electrode

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation Fuzzy Logic Control of Battery Discharging on Wind Turbine Power system based Cyber Physics system 1

Design and Implementation Fuzzy Logic Control of Battery Dis...

引用

1st engineering and Science International Conference 2024, ESIC 2024

作者： Asy'ari, M.K. Dudayef, A.H. Musyafa, A. Mahardika, A.K. Department of Engineering Physics Faculty of Industrial Technology and System Engineering Institut Teknologi Sepuluh Nopember Indonesia

Electric power plays a very important role in people's lives and in the development of various sectors of the economy. Modern economies are very dependent on electrical energy as the main driving force for activities. This has led to an increase in the number and capacity of power plants. Solar power is a new renewable energy generator that is developed to increase the capacity of electricity generation in Indonesia. The instability of solar irradiance means that the resulting solar power generation must be stored in batteries before being transferred to the load. There is an inverter in the battery discharging system which functions to change the amount of DC to AC. Changes in battery capacity due to the use of loads result in an unstable inverter output voltage, so a control system is required. The battery discharging system also needs to be controlled to maintain battery performance. This study aims to design and implement fuzzy logic control (FLC) for controlling the inverter output voltage and a cyber physics system (CPS) based battery discharging system. Input FLC is in the form of error and delta error and the output is in the form of pulse width modulation (PWM). The control of battery discharging uses two batteries which can work automatically and manually via the CPS connected command. The response of the inverter output voltage control system has a rise time of 0.38 minutes, a maximum overshoot of 4.54 percent, and a steady-state error value of 0.1817 percent. Battery discharging control can work properly according to the built control mechanism. The uncertainty of UA1 for the inverter output voltage is 0.434, the output current is 0.002, and the output power is 0.408 Watt. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Solar power generation

来源：评论

学校读者我要写书评

暂无评论

Orbit-Orbit Interaction in Spatiotemporal Optical Vortex

引用

engineering 2025年第2期45卷 44-51页

作者： Jian Chen Jie Zhao Xi Shen Dewei Mo Cheng-Wei Qiu Qiwen Zhan School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Shanghai Key Laboratory of Modern Optical System University of Shanghai for Science and TechnologyShanghai 200093China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore

While spin-orbit interaction has been extensively studied,few investigations have reported on the interaction between orbital angular momenta(OAMs).In this work,we study a new type of orbit-orbit coupling between the longitudinal OAM and the transverse OAM carried by a three-dimensional(3D)spatiotemporal optical vortex(STOV)in the process of tight *** 3D STOV possesses orthogonal OAMs in the x-y,t-x,and y-t planes,and is preconditioned to overcome the spatiotemporal astigmatism effect.x,y,and t are the axes in the spatiotemporal *** corresponding focused wavepacket is calculated by employing the Debye diffraction theory,showing that a phase singularity ring is generated by the interactions among the transverse and longitudinal vortices in the highly confined *** Fourier-transform decomposition of the Debye integral is employed to analyze the mechanism of the orbit-orbit *** is the first revelation of coupling between the longitudinal OAM and the transverse OAM,paving the way for potential applications in optical trapping,laser machining,nonlinear light-matter interactions,and more.

关键词： Spatiotemporal optical vortex Orbital angular momentum Momentum interaction Highly confined wavepacket Diffraction

来源：评论

学校读者我要写书评

暂无评论

A hybrid memory architecture supporting fine-grained data migration

引用

Frontiers of Computer Science 2024年第2期18卷 31-41页

作者： Ye CHI Jianhui YUE Xiaofei LIAO Haikun LIU Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Department of Computer Science Michigan Technological UniversityMichigan 49931USA

Hybrid memory systems composed of dynamic random access memory(DRAM)and Non-volatile memory(NVM)often exploit page migration technologies to fully take the advantages of different memory *** previous proposals usually migrate data at a granularity of 4 KB pages,and thus waste memory bandwidth and DRAM *** this paper,we propose Mocha,a non-hierarchical architecture that organizes DRAM and NVM in a flat address space physically,but manages them in a cache/memory *** the commercial NVM device-Intel Optane DC Persistent Memory Modules(DCPMM)actually access the physical media at a granularity of 256 bytes(an Optane block),we manage the DRAM cache at the 256-byte size to adapt to this feature of *** design not only enables fine-grained data migration and management for the DRAM cache,but also avoids write amplification for Intel Optane *** also create an Indirect Address Cache(IAC)in Hybrid Memory Controller(HMC)and propose a reverse address mapping table in the DRAM to speed up address translation and cache ***,we exploit a utility-based caching mechanism to filter cold blocks in the NVM,and further improve the efficiency of the DRAM *** implement Mocha in an architectural *** results show that Mocha can improve application performance by 8.2%on average(up to 24.6%),reduce 6.9%energy consumption and 25.9%data migration traffic on average,compared with a typical hybrid memory architecture-HSCC.

关键词： non-volatile memory hybrid memory system data migration fine-grained caching

来源：评论

学校读者我要写书评

暂无评论

Variable Length Multi-Objective Whale Optimization for Trust Aware Data Gathering in Wireless Sensor Network

引用

IEEE Access 2025年 13卷 32100-32121页

作者： Saad, Mohammed Ayad Jaafar, Rosmina Chellappan, Kalaivani Faculty of Engineering and Built Environment Department of Electrical Electronics and System Engineering Selangor Bangi43600 Malaysia Al-Kitab University Department of Medical Instrumentations Technique Engineering Kirkuk36001 Iraq Universitas Airlangga Biomedical Engineering Study Program Faculty of Science and Technology Surabaya60115 Indonesia

Efficient data collection in wireless sensor networks (WSNs) is crucial. While traditional approaches rely on stationary data sinks, the use of mobile sinks, like unmanned aerial vehicles (UAVs), has shown promise in enhancing data-gathering capabilities. However, existing methods often overlook the importance of trust, leaving the network susceptible to malicious or faulty nodes. To address this issue, we propose a novel trust-aware data-gathering algorithm, Variable Length Multi-Objective Whale Optimization Data Gathering (VLMOWO-DG). Our algorithm simultaneously optimizes energy consumption, delay, and trust while employing mobile sinks to collect data from sensor nodes. By considering trust as a key performance metric, we improve data reliability and security. The VLMOWO-DG algorithm introduces flexibility through variable-length solution representation and application-oriented operators, allowing for efficient exploration of the solution space. Simulation results demonstrate that our proposed algorithm significantly outperforms established benchmarks, NSGA-II and NSGA-III, in terms of domination and hypervolume. This leads to a remarkable improvement of 200% in data gathering performance. © 2015 The Authors.

关键词： Data collection

来源：评论

学校读者我要写书评

暂无评论

A Low Resource Multi-lingual Simultaneous Script Identification and Text Recognition Model

引用

SN Computer Science 2024年第6期5卷 740页

作者： Mukherjee, Jayati Roy, Utpal Computer Science and Engineering Academy of Technology Department of computer and system sciences Visva-bharati

In this paper, we have proposed a multi-task learning model for multi-lingual Optical Character Recognition. Our model does the script identification and text recognition simultaneously of offline machine printed documents. We have extracted the spatial and temporal features of a line image by the combination of several CNN and BLSTM layers. The feature is shared between the script identification and text recognition modules. Fully connected layer and softmax identify the script. The identified script works as a case selector for the text recognizer which is a CTC layer. Finally, the text is identified by the text recognizer. The model is applied to two public datasets: ISIDDI, RETAS containing Bengali degraded, and English pages. We have created a dataset of Devnagari/Hindi and Tamil scripts to test our model. The model has achieved 99.2% accuracy for script recognition. The achieved text recognition accuracy on the scripts Bengali, English, Hindi, and Tamil are respectively 91.68%, 97.07%, 95.68% and 92.27%. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep learning Multi-task learning Optical character recognition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：