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检索条件"任意字段=4th International Multi-Conference on Computing in the Global Information Technology"

共 11865 条记录，以下是161-170 订阅

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Innovative Approaches In Facial Expression Recognition: A Hybrid Deep Learning Perspective 4

Innovative Approaches In Facial Expression Recognition: A Hy...

引用

4th international conference on Emerging Systems and Intelligent computing, ESIC 2024

作者： Ramachandrapuram, Pavitra Yaramadi, Pravallika Gorikapudi, Keerthi Manukonda, Swarna Lakshmi Panthangi, Amrutha Lakshmi Lakireddy Bali Reddy College of Engineering Information Technology Mylavaram India

ISBN: (纸本)9798350349856

the extraction of discriminative spatiotemporal video characteristics from facial expression images in video sequences is a major and demanding problem in facial expression recognition (FER). Applications such as security systems, access control, and personalized user experiences - such as emotion analysis, mental health assessment, and human-computer interaction - have seen a major increase in the use of facial recognition technology. the objective of this project is to improve the accuracy and efficiency of face identification procedures by creating a sophisticated facial recognition system that makes use of recurrent neural networks (RNNs). By using deep learning techniques, this research paves the way for future developments in facial expression recognition. © 2024 IEEE.

关键词： Recurrent neural networks

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3D Human Pose Estimation in Spatio-Temporal Based on Graph Convolutional Networks 4

3D Human Pose Estimation in Spatio-Temporal Based on Graph C...

引用

4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Jiao, Liming Huang, Xin Ma, Lin Ren, Zhaoxin Ding, Wenzhuo Tianjin Normal University College of Computer and Information Engineering Tianjin China

ISBN: (纸本)9798350363586

In recent years, 3D human pose estimation has seen rapid development and plays a key role in fields such as human-computer interaction. Currently, the most widely used methods include monocular-based pose estimation and multi-camera-based pose estimation, with study on monocular methods being more extensive. Despite significant progress in 3D pose estimation from single-view images or videos, the accuracy and performance of 3D human pose estimation can be significantly reduced due to depth ambiguity and severe self-occlusion issues, making it still a challenging task. Considering that spatial dependency and temporal consistency can effectively alleviate these issues, this paper proposes a method based on graph structure to estimate 3D human poses from short sequences of 2D joint detection results. Specifically, the domain knowledge about human body structure is explicitly incorporated into the graph convolution operation to meet the specific needs of 3D pose estimation. the proposed method has been evaluated on the challenging benchmark dataset Human3.6M for 3D human pose estimation. Experimental results show that our method outperforms the traditional method using GCNs by 5%, achieving excellent results. this method shows potential applications in fields such as behavior recognition and human-computer interaction. © 2024 IEEE.

关键词： Video analysis

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Design of task offloading algorithm for mobile edge computing network based on UAV 4

Design of task offloading algorithm for mobile edge computin...

引用

4th international conference on Neural Networks, information and Communication Engineering, NNICE 2024

作者： Xu, Ling Qian, Keneng Cai, Mingkai Zhang, Ye Hangzhou Dianzi University College of Communication Engineering Hangzhou China Huaxin Consulting Co. Ltd College of Network Information Hangzhou China Huaxin Consulting Co. Ltd College of Mobile Research Hangzhou China Digital Guangdong Network Construction Co. Ltd Intelligent Transportation Networks Center Guangzhou China

ISBN: (纸本)9798350394375

this paper optimizes system performance in a UAV-based multi-user mobile edge computing system through joint design of UAV positions, computing service pricing, and user task offloading strategies. the Stackelberg model is used to optimize the interaction between ground users and UAVs. UAVs maximize revenue through pricing, while ground users minimize costs through task offloading strategies. this paper simplifies the problem by assuming known UAV positions. the pricing and task offloading subproblems are solved by obtaining the equilibrium solution of the game model. the UAV positioning subproblem is solved using a genetic algorithm, resulting in suboptimal solutions for the original problem through iterative iterations. the simulation results show that the algorithm leads to higher UAV revenue and reduced user latency. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Study on Cyber-Physical power System fault recovery under collaborative information 4

Study on Cyber-Physical power System fault recovery under co...

引用

4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Zheng, Siyuan Qiu, Yichuan Xie, Huasen State Grid Zhejiang Electric Power Co. Ltd. Wenzhou Dongtou District Power Supply Company China State Grid Wenzhou Electric Power Company China

ISBN: (纸本)9798350363586

In order to recover fault services quickly and effectively, a collaborative recovery model of power communication network after fault is first established in this paper. Based on the two-layer programming method, the objective functions of the upper and lower models are designed to select the optimal link recovery scheme. then the model is solved based on the Q algorithm of reinforcement learning, and the optimal link recovery strategy is obtained under the condition of limited resources, so as to achieve the goal of quickly recovering the most power services. the simulation of the information physical network based on IEEE39-node 10-machine New England system shows that in fault recovery, all power faults can be recovered at a faster speed, and the overall load recovery level is higher than that without considering the synergistic information. © 2024 IEEE.

关键词： Power distribution faults

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Implementing Resource-Aware Scheduling Algorithm for Improving Cost Optimization in Cloud computing 4

Implementing Resource-Aware Scheduling Algorithm for Improvi...

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Reddy, Kiran Jagannadha Udayaraju, Pamula Pamaiahgari, Venkata Pradeep Reddy Kumar, V. Dilip Walmart BentonvilleAR United States Srm University Department of Cse AP India Wendys International Llc OH United States SRKR Engineering College Department of CSE India

ISBN: (纸本)9798331523923

An uncountable number of computational resources are shared for various applications using a transformative technology called Cloud computing. It is an emerging technology that can offer scalable and on-demand resources. However, cost optimization and resource allocation are critical issues due to the increasing number of cloud user and their request. It can be solved by optimising resource allocation by reducing the task/user queue. It is possible only if the requested resource is free;otherwise, it must schedule the same or relevant resource. this paper demonstrates a Resource-Aware Scheduling (RAS) algorithm to increase the speed of resource allocation by mapping the user request with the resource availability. the proposed algorithm examines the log information of the resources, workload behaviour, resource availability, price, task efficiency, and reduced wastage and allocates the resources dynamically. To do that, it maps user information with resource information and schedules based on availability and priority. the simulation-based experiment is carried out in a private cloud space and demonstrates the resource allocation, utilization, response time, and cost. It is also compared with the traditional scheduling algorithm to evaluate the performance of the RAS. the evaluation found that the RAS model is more suitable for cloud resource allocation. © 2025 IEEE.

关键词： Cloud computing Cost Optimization Resource Allocation Resource-Aware Scheduling Scheduling

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Improving System Security: Machine Learning Algorithm-Based Intrusion Detection System 4

Improving System Security: Machine Learning Algorithm-Based ...

引用

4th international conference on Ubiquitous computing and Intelligent information Systems, ICUIS 2024

作者： Barpute, Jyotsna Vilas Bhargava, Sanjay Mansarovar Global University Faculty of Engineering and Technology Department of Computer Science Bhopal India Dr. D. Y. Patil Institute of Technology Pimpri Pune India

ISBN: (纸本)9798331529635

In today's era, computer technology is now required in many areas of our daily lives, including banking, entertainment, education, and communication. System security is crucial in the digital age, and detecting intrusion threats is the most difficult problem. Cyber- attacks put data availability, confidentiality, and integrity at risk and make it more difficult to identify intrusions exactly. An intrusion detection system is a method that keeps an eye out for unusual activity on the network and sends out an alarm when it finds it. the paper compares Intrusion Detection System (IDS) taxonomy, an indepth analysis of intrusion detection methods, and widely used evaluation datasets. In order to decrease false positives, find new threats, and effectively detect intruders, researchers work to improve IDS. IDS systems use machine learning (ML) techniques because they have the ability to effectively detect network intrusions. the study examines the most recent developments and trends in machine learning-based hybrid intrusion detection systems (HIDS). Numerous methods have emerged for intrusion detection that make use of the machine learning methodology. Combining results from a comparison survey of different machine learning algorithms, the decision tree-which is renowned It is recommended as a model for discovering result abnormalities due to its quickness and simplicity of usage. © 2024 IEEE.

关键词： Network intrusion

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Experimental Study on the Intensity Scintillation Effect of Partially Coherent Light Transmission in Atmospheric Turbulence 4

Experimental Study on the Intensity Scintillation Effect of ...

引用

4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Li, Qing Deng, Kai Zhang, Ya Ni, Xiaolong Cheng, Xiang Wen, Lianghua Yibin University School of Faculty of Intelligence Manufacturing Yibin China Yibin Vocational & Technical College School of Electronic Information and Artificial Intelligencehe Yibin China Changchun University of Science and Technology National and Local Joint Engineering Research Center of Space Optoelectronics Technology Changchun China

ISBN: (纸本)9798350363586

In this article, the scintillation effect of laser beams with different initial coherence in the atmosphere is studied, and the expression of scintillation factor of partially coherent beams in the Gaussian Schell beam model is given. We designed and produced a multi parameter high-precision controllable laser source to generate partially coherent laser beams, and used a reproducible atmospheric turbulence simulation device to simulate atmospheric turbulence. On this basis, experimental research was conducted on the intensity scintillation effect of laser beams with different coherence lengths transmitted in atmospheric turbulence. the results indicate that as turbulence weakens (i.e. the atmospheric coherence length increases), the intensity scintillation effect caused by it on laser beams of different coherence lengths shows a decreasing trend. In addition, as the coherence length of the beam decreases, it is less affected by atmospheric turbulence (i.e. its intensity scintillation factor decreases). For a laser beam with a coherence length of 3mm, its scintillation factor is about 0.038 when the atmospheric coherence length is 5cm, while the fully coherent light has reached more than 0.16, with a difference of more than 4 times. Compared with the fully coherent beam, the partially coherent beam is not only smaller than the fully coherent beam in terms of the scintillation factor, but also the intensity fluctuation of its scintillation is smaller than that of the fully coherent beam. © 2024 IEEE.

关键词： Laser beams

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Classification of Humanitarian Crisis Response through Unimodal multi-Class Textual Classification 4

Classification of Humanitarian Crisis Response Through Unimo...

引用

4th international conference on Emerging Systems and Intelligent computing, ESIC 2024

作者： Jain, Tarun Gopalani, Dinesh Meena, Yogesh Kumar Malaviya National Institute of Technology Manipal University Jaipur Department of Cse Jaipur India Malaviya National Institute of Technology Department of Cse Jaipur India

ISBN: (纸本)9798350349856

In the realm of disaster response it is crucial to emphasize the significant role that social media plays as an immediate and dynamic source of information. In times of both natural and human- created calamities citizens resort to sites like Twitter to broadcast updates in the form of text and multimedia. these updates vary from reporting on wounded or killed individuals to damage assessments and the hunt for missing or discovered folks. the value of this online information for humanitarian organizations is well-established, a large chunk of research has typically concentrated on textual content analysis. this research study seeks to offer a unique technique in textual classification of a vast and diversified multi-modal dataset dubbed 'CrisisMMD,' which is collected from Twitter after significant natural disasters. this dataset offers three separate types of annotations, each geared to fulfill a wide variety of crisis response and management needs, responding to the various requirements of humanitarian organizations. In our attempts to increase the efficiency of humanitarian operations, we argue for a approach that leverages the power of textual material inside social media. To achieve this objective we apply cutting-edge machine and deep learning techniques, to construct a framework with a common representation successfully breaking down the conventional boundaries of textual modes. Our study done utilizing real world catastrophe datasets indisputably proves the superiority of our suggested method when compared to other models. the results of this study not only underline the untapped potential of textual aspects in crisis response but also offer an appropriate framework for categorizing the multi-Class CrisisMMD dataset textually. this method signals a new era of strong and effective catastrophe management, promising to have a big influence on the humanitarian scene. Experiments conducted on the CrisisMMD dataset, which simulates real-world catastrophes, have yie

关键词： Classification (of information)

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Remote Control of Residential Meter Involving E-Billing 4

Remote Control of Residential Meter Involving E-Billing

引用

4th international conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2024

作者： Khan, Sher Dali Alamsyah, Nurwahyu Mufti, Naveed Ul Haq, Qazi Mazhar Mukhtar, Abbas Haq, Muhamad Amirul Malaysia Universitas Muhammadiyah Yogyakarta Information Technology Department Yogyakarta Indonesia UET Mardan Department of Telecommunication Engineering Pakistan Yuan Ze University Department of Computer Science and Engineering and IBPI Taoyuan Taiwan University of Windsor Department of Electrical and Computing Engineering ON Canada Universitas Muhammadiyah Surabaya Computer Science Department Surabaya Indonesia

ISBN: (纸本)9798350378368

In electrical energy distribution, losses are a challenging problem, among these losses electricity theft plays a prominent role. Not only Pakistan but many other countries throughout the world face this challenge. this paper presents a system based on smart meter to detect the approximate location of electricity theft. Along with electricity theft detection, this paper also proposes a system for the elimination of illegal consumers. the approach used is that the total energy is compared with the legally consumed energy. For communication between the meters wireless communication techniques are used including global System for Mobile Communications (GSM) and Network Repository Function (NRF). © 2024 IEEE.

关键词： global system for mobile communications

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Fine-Grained Data Identification Mechanism in Edge computing for Smart Power Grid 4

Fine-Grained Data Identification Mechanism in Edge Computing...

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4th international conference on Energy Engineering and Power Systems, EEPS 2024

作者： Hu, Tianmu Zhang, Ziliang Liu, Bo Wang, Haoxin Jiangsu Electric Power Information Technology Co. Ltd. Nanjing China Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350366914

this paper investigates how to build efficient and secure data identification in edge computing for smart power grid. the current solutions, such as access control and data labelling, have limitations due to security issues that arise due to the proximity of edge nodes, lacking security guarantees, and trust between devices and edge nodes in different trust domains. To overcome these challenges, we propose a novel cryptographic solution called Attribute-Based Data Identification (ABDI), which enables data consumers to efficiently identify the desired data while ensuring security against edge nodes forging data with desired attributes. A rigorous security analysis of ABDI is presented, and experimental evaluations are conducted on various devices, demonstrating its practicality. © 2024 IEEE.

关键词： Mobile edge computing

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