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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Kumar, Deepak Prakash, Febin Shukla, Gaurav Vivekananda Global University Department of Mathematics Jaipur India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350383348

this paper investigates the antenna-to-antenna spatial correlation of a multi-consumer millimeter-wave (mm Wave) system, considering the angular spread of every randomly located antenna inside the mobile. A signal-power-dependent correlation model based on the azimuth perspective domain is proposed. Furthermore, an iterative clustering set of rules for unmarried-cellular beam forming is advanced and analyzed to quantify the performance of multi-user mm Wave structures. Simulation outcomes show that after the angular spread exceeds 20°, the antenna-to-antenna correlation must be considered within the analysis. The beam forming overall performance with antenna correlation substantially progresses with a reduction in the number of antennas, and the benefit increases because the angular spread increases. © 2024 IEEE.

关键词： Beam forming Dependent Investigates Perspective Reduction Spread

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Optimizing Fuzzy System of Fuzzy Time Series for Hyper Spectral Image Classification

Optimizing Fuzzy System of Fuzzy Time Series for Hyper Spect...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Nidhya, M.S. Naval, Preeti Kumar, Ravindra Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Mathematics Jaipur India

ISBN: (纸本)9798350383348

This research paper examines the capability of fuzzy time collection for hyperspectral photograph classification. Fuzzy time series (FTS) is a time series in which fuzzy standards are used to model the styles within the facts. FTS can be used to explain complex temporal styles in the records, and as a consequence making it possible to categorize photographs more extraordinarily accurately., this look proposes an optimization method primarily based on genetic seek techniques. The optimization algorithm is designed to discover the high-quality FTS parameters that yield first-rate type accuracy. The efficacy of the proposed technique is evaluated on hyperspectral facts set with extraordinary experimental scenarios. The results of the test display that the proposed method can enhance the accuracy of photo classification and the use of FTS considerably. Hence, the proposed method gives a promising technique that can be used to classify hyperspectral snapshots efficiently. The paper affords an optimized fuzzy machine of fuzzy time collection for the hyperspectral photograph category. The proposed device consists of 3 levels: pre-processing, version creation, and optimization. Throughout the pre-processing level, statistical and spectral analyses are executed to acquire the applicable attributes for developing the fuzzy time collection. The model construction degree then uses the bushy time series to extract between-class separability for the photo type. It is followed utilizing the optimization stage, related to the software of differential evolution, to minimize the complexity of the proposed machine while still enhancing the type accuracy. The proposed machine has been correctly carried out to a real-international hyperspectral dataset and demonstrates widespread upgrades in class accuracy over existing methods. © 2024 IEEE.

关键词： accurately extraordinarily hyperspectral photographs primarily

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Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine

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Digital Communications and Networks 2023年第2期9卷 296-305页

作者： Jing Zhang Qichen Yan Xiaogang Zhu Keping Yu Department of Computer Science and Technology Xi'an University of Science and TechnologyXi'an710054China Department of Information Science and Technology Northwest UniversityXi’an 710127China School of Public Policy and Administration Nanchang UniversityNanchangJiangxi330031China Graduate School of Science and Engineering Hosei UniversityTokyo184-8584Japan RIKEN Center for Advanced Intelligence Project RIKENTokyo103-0027Japan

The crowd sensing technology can realize the sensing and computing of people,machines,and environment in smart industrial IoT-based coal mine,which provides a solution for safety monitoring through distributed intelligence ***,due to the difficulty of neural network training to achieve global optimality and the fact that traditional LSTM methods do not consider the relationship between adjacent machines,the accuracy of human body position prediction and pressure value prediction is not *** solve these problems,this paper proposes a smart industrial IoT empowered crowd sensing for safety monitoring in coal ***,we propose a Particle Swarm Optimization-Elman Neural Network(PE)algorithm for the mobile human position ***,we propose an ADI-LSTM neural network prediction algorithm for pressure values of machines supports in underground *** them,our proposed PE algorithm has the lowest average cumulative prediction error,and the trajectory fit rate is improved by 24.1%,13.9%and 8.7%compared with Kalman filtering,Elman and Kalman plus Elman algorithms,***,compared with single-input ARIMA,RNN,LSTM,and GRU,the RMSE values of our proposed ADI-LSTM are reduced by 36.6%,52%,32%,and 13.7%,respectively;and the MAPE values are reduced by 0.0003%,0.9482%,1.1844%,and 0.3620%,respectively.

关键词： Crowd sensing Industrial Internet of things Safety monitoring Coal mine

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Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

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Investigation of Quality of Service in Various Mobility Protocols for Wireless Local Area Networks

Investigation of Quality of Service in Various Mobility Prot...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Sharma, Deeplata Nachappa, M.N. Yadav, Rakesh Kumar Vivekananda Global University Department of Chemistry Jaipur India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350383348

This technical abstract examines the pleasantness of carriers (quality of service) in numerous mobility protocols for Wi-Fi neighborhood place networks (WLAN). Quality of service is a measure of the level of service provided with the aid of a network and influences the supply, throughput, latency, jitter, and packet loss of packages. The research investigates the impact of mobility on quality of service in WLAN surroundings. An evaluation of the two fundamental mobility protocols., mobile IP and Proxy cellular IP, is executed in theoretical simulation surroundings. The effects of the assessment show that cell IP wireless advanced the quality of service on scalability, handoff delay, and packet loss. Additionally, this analysis suggests that Proxy cellular IP can successfully assist mobility in WLANs while providing suitable ranges of quality of service. With the consequences of these studies, gadget directors and network architects now have a higher understanding of the impact of mobility on the quality of service of WLANs. © 2024 IEEE.

关键词： Consequences Fundamental Measure Mobility Network Surroundings

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Human Pose Estimation using Multiple Attention Mechanisms in a High-Resolution Network 6

Human Pose Estimation using Multiple Attention Mechanisms in...

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6th IEEE International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2023

作者： Wang, Yinfan Chen, Yonghui Wang, Fupan Wu, Yadong Southwest University of Science and Technology School of Computer and Technology Mianyang China Sichuan University of Science and Engineering School of Computer Science and Engineering Zigong China

ISBN: (纸本)9798350325485

Aiming to address the issue of information loss during the feature extraction process of High-Resolution Network (HRNet) in human pose estimation tasks, a high-resolution human pose estimation network called CDLNet (CDL-Attention Network) is proposed. Building upon the foundation of HRNet, CDLNet incorporates multiple attention mechanisms. By introducing the coordinate attention module and constructing Coorneck and Coorblock modules to replace the commonly used Bottleneck and Basicblock modules in HRNet, CDLNet effectively captures both channel and position information from the feature maps, enabling the model to better localize and identify target regions. Furthermore, the multi-scale attention mechanism is introduced to capture channel and spatial information on feature maps with 1/16 resolution, and the non-local attention module is added at 1/32 resolution to expand the receptive field and extract useful information. Experimental validation is conducted on the publicly available MS COCOVAL 2017 dataset. The results demonstrate that the method in this paper achieves a 3.4% improvement in mean Average Precision (mAP). It effectively enhances the feature extraction capability, reduces information loss, and improves the accuracy of human pose estimation compared with the HRNet. © 2023 IEEE.

关键词： Feature extraction

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Multi-Scale Quantum Harmonic Oscillator Behaved Algorithm with Three-Stage Perturbation for High-Dimensional Expensive Problems

Multi-Scale Quantum Harmonic Oscillator Behaved Algorithm wi...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Ye, Xinggui Li, Jianping Wang, Peng School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Computer Science and Technology Southwest Minzu University Chengdu610225 China

ISBN: (纸本)9781665410205

Quantum perturbation plays an important role in quantum movement. This paper proposes a three-stage perturbation (TSP) framework to enhance the performance of multi-scale quantum harmonic oscillator algorithm (MQHOA). Three perturbations are adopted in the population initialization process with opposition-based learning (OBL), in quantum harmonic oscillator (QHO) process with ensemble of three differential evolution (DE) strategies and in multi-scale (M) process with a rollback mechanism to enhance the diversity of the particles and prevent from falling into local optima. The proposed approach has been evaluated on several high-dimensional expensive problems from 50-D to 500-D. The empirical data are compared with recent MQHOA variants and some state-of-the-art similar metaheuristic algorithms (MAs). The experimental results reveal the superiority or competitiveness of the the proposed approach. © 2024 IEEE.

关键词： Harmonic analysis

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Utility Maximization Based Trade-Off Policy for MEC-Enabled NB-IoT Networks in Smart Cities 7

Utility Maximization Based Trade-Off Policy for MEC-Enabled ...

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7th IEEE International Conference on Smart Internet of Things, SmartIoT 2023

作者： Ning, Wangzhong Chen, Xin Jiao, Libo Wang, Yijie School of Computer Science Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9798350316575

To meet intensive computing needs of various IoT devices in smart cities, such as smart sensors and smart cameras, narrowband Internet of Things (NB-IoT) and mobile edge computing (MEC) are used for task processing of IoT devices. Although this approach can offload tasks to edge servers timely, it increases the computational expenses and wireless bandwidth expenses at edge networks. Therefore, we need to study computation offloading strategies more carefully to reduce the system overhead and ease the burden on NB-IoT devices. This paper investigates task offloading and resource allocation policy for IoT devices in smart cities. The aim is maximizing utility of the green MEC system while keeping stability of the edge network. This is a stochastic optimization problem. We transform this problem into a deterministic optimization problem by Lyapunov optimization technique and propose an utility maximization online algorithm (LUMOA). Theoretical analysis and experimental results demonstrate that LUMOA algorithm can approximately satisfy the system utility maximization while ensuring stability of the MEC system. Compared with equal allocation method and queue-weighted algorithm, the LUMOA algorithm increases the system revenue by 20.5% and 18.7%, respectively. © 2023 IEEE.

关键词： Mobile edge computing

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Exploring the Complexities of Multiple Access Channels with Multiple Input Multiple Output (MIMO) Techniques

Exploring the Complexities of Multiple Access Channels with ...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Lora, Chandra Prakash Zaidi, Taskeen Pandeya, Megha Vivekananda Global University Department of Chemistry Jaipur India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350383348

MIMO is a rising technique for the usage of more than one admission to channels, which may be used to improve the performance of Wi-Fi communication systems. MIMO uses a couple of enter more than one output (MIMO) antenna systems, which permit the usage of a couple of entry to channels for simultaneous transmission and reception of radio frequency (RF) signals. The usage of a couple of access channels permitted excessive spectral efficiency and improved received sign best resulting from using a couple of antenna elements. MIMO technology enables the use of more than one right of entry to channels with the extra benefit of spatially multiplexing using space-time coding strategies. Using MIMO strategies offers many benefits, which include increased information charges, improved security, and the functionality of mitigating multipath fading. In addition, the use of MIMO techniques can also be employed for beamforming and interference suppression. The examination of the complexities of MIMO systems is therefore crucial to reap the full overall performance advantages of this technology. This paper reviews the recent advances within the studies of multiple get admissions to Channels. It considers the troubles and challenges related to using MIMO strategies inside the context of wireless verbal exchange networks. © 2024 IEEE.

关键词： Admission Communication Performance Systems Technique Transmission

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Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation 24

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Co...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Sun, Jin Shi, Xiaoshuang Wang, Zhiyuan Xu, Kaidi Shen, Heng Tao Zhu, Xiaofeng School of Computer Science and Engineering University of Electronic Science and Technology of China SiChuan Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology of China Tsinghua University SiChuan Chengdu China Department of Computer Science Drexel University Philadelphia United States School of Computer Science and Engineering University of Electronic Science and Technology of China Tongji University SiChuan Chengdu China

ISBN: (纸本)9798400706868

Modeling in computer Vision has evolved to MLPs. Vision MLPs naturally lack local modeling capability, to which the simplest treatment is combined with convolutional layers. Convolution, famous for its sliding window scheme, also suffers from this scheme of redundancy and lower parallel computation. In this paper, we seek to dispense with the windowing scheme and introduce a more elaborate and parallelizable method to exploit locality. To this end, we propose a new MLP module, namely Shifted-Pillars-Concatenation (SPC), that consists of two steps of processes: (1) Pillars-Shift, which generates four neighboring maps by shifting the input image along four directions, and (2) Pillars-Concatenation, which applies linear transformations and concatenation on the maps to aggregate local features. SPC module offers superior local modeling power and performance gains, making it a promising alternative to the convolutional layer. Then, we build a pure-MLP architecture called Caterpillar by replacing the convolutional layer with the SPC module in a hybrid model of sMLPNet. Extensive experiments show Caterpillar's excellent performance on both small-scale and ImageNet-1k classification benchmarks, with remarkable scalability and transfer capability possessed as well. The code is available at https://***/sunjin19126/Caterpillar. © 2024 ACM.

关键词： Convolution

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