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检索条件"任意字段=2013 3rd International Conference on Computer Science and Network Technology, ICCSNT 2013"

共 2013 条记录，以下是1-10 订阅

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Proceedings of 2013 3rd international conference on computer science and network technology, iccsnt 2013

Proceedings of 2013 3rd International Conference on Computer...

引用

2013 3rd international conference on computer science and network technology, iccsnt 2013

ISBN: (纸本)9781479905614

The proceedings contain 289 papers. The topics discussed include: a fine-grained access control model with secure label on data resource;research on automatic reading recognition of index instruments based on computer vision;an improved chaos immune algorithm based on Hadoop framework to solve job-shop scheduling problem;improved Harris corner detector algorithm for image co-registration;research of job-shop scheduling problem based on improved crossover strategy genetic algorithm;the research on parameters of spectral clustering based on SVD;implementation of parallel convolution based on MPI;power-frequency electric field calculation of extra high voltage transmission lines under condition of complex landscape;the research on the construction of network teaching resource database;radar HRRP target recognition based on optimal transformation;and the study of the agricultural product storage temperature and humidity control system.

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Improved Xception with Local Dense Connections and Transition Layer for Facial Expression Recognition 24

Improved Xception with Local Dense Connections and Transitio...

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3rd international conference on Artificial Intelligence and Intelligent Information Processing, AIIIP 2024

作者： Zhang, Zhiping Abdul-Rahman, Shuzlina Sabri, Norlina Mohd College of Computing Informatics and Media Universiti Teknologi MARA Selangor Malaysia College of Computer and Mathematics Xinyu University Jiangxi Xinyu China Universiti Teknologi MARA Cawangan Terengganu Kuala Terengganu Malaysia

ISBN: (纸本)9798400707308

Traditional deep convolutional neural networks are used for facial expression recognition, which makes the number of neurons and parameters huge, wastes computing resources, and even causes problems such as overfitting and network degradation. Meanwhile, single-scale expression features cannot describe rich facial expression information and are not evenly distributed on face images. We proposed an improved Xception method based on the original Xception network, it retains the depth-separable convolution and residual structure, adds multi-scale convolution and local dense connection. Our proposed method achieved an accuracy rate of 89.54% on the FER2013 dataset, strengthened feature reuse, and enhanced generalization ability. © 2024 Copyright held by the owner/author(s).

关键词： Convolutional neural networks

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A Comparative study on facial expression recognition using MobileNetV2, VGG-16, ResNet and swin transformer 3

A Comparative study on facial expression recognition using M...

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3rd international conference on Algorithms, network, and Communication technology, ICANCT 2024

作者： Bi, Kairui Liao, Jiapei Gao, Dongting Yin, Ruilin Wang, Yize Semiahmoo Secondary School BC Canada Faculty of Science and Technology University of Macau 999078 China College of Science and Technology Temple University PhiladelphiaPA19122 United States Division of Science and Technology Beijing Normal University Hong Kong Baptist University United International College Zhuhai519087 China College of Engineering and Physical Sciences University of Birmingham Edgbaston BirminghamB15 2TT United Kingdom

ISBN: (数字)9781510688902

ISBN: (纸本)9781510688896

In the modern era, the implementation of computer vision technologies has become increasingly prevalent across various domains. In many fields, such as security and identification, computer vision technologies are widely implemented and have gradually become increasingly prevalent topics. Recent advancements in facial emotion recognition models have proved to be significant for the development of different deep learning models in past research. Undoubtedly, Convolutional Neural networks (CNNs) have long been the dominant approach for such facial recognition tasks, especially for emotion classification tasks. Instead of the traditional CNNs, some other researchers prefer using vit such as (Mobile Swim Windows Attention) to solve such problems because they argue that it could extract more global features rather than local features extracted by CNN. To determine the advantages and disadvantages on these models for the performance tasks, this paper presents a comparative analysis of CNN-based models - MobileNetV2, VGG16, ResNet - against the Swin Transformer, a Vision Transformer (ViT) model. Using the FER2013 datasets with 48x48 pixels images that are all classified into 7 different emotion categories and implementing the augmentation techniques to improve the quality of the datasets, we utilized the pretrained models, train them with at least 20 epochs, and evaluated the performance of classical convolutional neural networks and Vision Transformer on this dataset based on accuracy, F1 Score, Precision, and Recall with accuracy, loss, and confusion matrix visualization. © 2025 SPIE.

关键词： Convolutional neural networks

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Suitability of Blockchain Smart Contracts for Securing the Internet of Things 5th

Suitability of Blockchain Smart Contracts for Securing the I...

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5th international conference on Advances in Information Communication technology and Computing, AICTC 2024

作者： Khichi, Deepika Sharma, Ajay Kumar Patel, Mayank Rathore, Narendra Singh Department of Computer Science Engineering GITS Udaipur India GITS Udaipur India

ISBN: (纸本)9789819761050

Due to its core characteristics, blockchain research has gained attention (Alrubei et al, in Ethereum blockchain for securing the Internet of Things: practical implementation and performance evaluation. IEEE, 2019 [1]). This is because it provides anonymity, security and integrity and is independent from the reliable 3rd party organizations. Blockchain technology could initially only be employed with currency. However, applications outside of crypto currencies are already being created and investigated thanks to the emergence of Ethereum, which enables the development and how smart contracts are executed (miniature computer programmes that operate on blockchain technology). The fact is that an enormous progress has been made for the improvement of the technology of blockchain and stress is given on smart contracts (Zhaofeng et al, in IEEE Trans Ind Inform 16(3):2013–2021, 2019 [2]). It was found that few descriptive studies on the application of smart contracts for security of IoT and Internet are present. The purpose of this research project is to locate and evaluate scholarly works on smart contracts based on blockchain for securing the Internet. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart contract

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Recommendation of Music Based on Facial Recognition and Emotion Analysis 3rd

Recommendation of Music Based on Facial Recognition and Emot...

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3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Chintha, Sai Ganesh Bharathi, V.C. Mayaluri, Anusha Bylapudi, Lahari Iqbal, M. Mohammed School of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravathi India Department of Information Technology Sri Sivasubramaniya Nadar College of Engineering Tamil Nadu Chennai603110 India

ISBN: (纸本)9789819743582

Emotions pose a challenge when it comes to precise definition and interpretation. As a remedy, music emerges as a suggested art form for its potential in aiding mood regulation. Our proposed approach exhibits the potential to enhance system accuracy. This is achieved through a reduction in computation time for result generation, leading to improved overall efficiency and lowered operational costs of the devised system. To evaluate the effectiveness of our approach, we employed the FER2013 dataset, utilizing an integrated camera to capture facial expressions. The process involves extracting features from facial photographs to discern various emotions, encompassing happiness, anger, sadness, surprise, and neutrality. Leveraging a Convolutional Neural network (CNN), we implemented a mechanism for detecting facial expressions, attaining an impressive detection accuracy rate of approximately 95.14 percent. The implementation employs a range of Python packages including WebRTC, Keras, and MediaPipe to facilitate the capture and analysis of users’ facial emotional cues. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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Fake Trend Detection in Twitter Using Machine Learning 3rd

Fake Trend Detection in Twitter Using Machine Learning

引用

3rd international conference on Computing and Communication networks, ICCCN 2023

作者： Chinnaiah, Valliyammai Dhayanithi, Manikandan Patturaj, Santhosh Ranganathan, Ramanujan Mohan, Vishnu B. A. Department of Computer Technology Madras Institute of Technology Anna University Chennai India

ISBN: (纸本)9789819726707

Social media plays a major part in everyone’s lives in which it aids the people to interact and connect with them. Social media has created large communities to influence what everyone reads, does, or even thinks. The influencing mechanism of Twitter trends is exploited using bots and spam accounts where several tweets on a topic are boosted into trends based in an artificial way. The fake trends are common in the social media domain which is discovered through promoting gambling, information phishing, disinformation campaigns, political slogans, and hate speech. The manipulation of Twitter trends has great implications because Twitter trends get more attention. The broader media channels cover trends through utilizing as a stand-in for what people are talking about. Unfortunately, this stand-in is manipulated, clouding the public’s perception of the topics being discussed. It is important to detect these fake trends and ensure that the public is not exposed to fake trends. The proposed fake trend detection system classifies the Twitter accounts into bot and human accounts. TwiBot-20 benchmark dataset is trained to classify the bot accounts using Random Forest model which achieves 94% accuracy. The metadata features and influence entropies are extracted from bot accounts. The influence entropy is measured by constructing an influence graph using igraph and networkX through analyzing the retweet count and user mentions in each tweet of an account. The trending topic of the tweets is analyzed and the authenticity of the trend is categorized using one-dimensional clustering. A web application is developed to facilitate the proposed fake trend detection system for the users without technical knowledge. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Tweets

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Research and Implementation of Virtools Based on 3D Virtual Teaching Laboratory 3

Research and Implementation of Virtools Based on 3D Virtual ...

引用

3rd international conference on computer science and network technology (iccsnt)

作者： Lin Lihua Cao Jing Liao Xiaoqun Zhao Anxin Xian Univ Sci & Technol Colleague Informat & Commun Xian Peoples R China

ISBN: (纸本)9781479905614

In view of the existing virtual experimental teaching software is primarily demonstration, the lack of the people of the interactive system, the lack of authenticity in the process of simulation experiment teaching. In this paper, the development of 3 d virtual teaching laboratory based on virtools platform, in the process of chemistry teaching experiment, for example, and describes the development of the basic steps and key technology. Through the campus network, many people online at the same time condition test, has the feasibility to good effect.

关键词： Virtual Laboratory Virtools technology Interactive

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Distributed Measurement and Control network of Spaceflight Measure Ship Based on ICE Middleware 3

Distributed Measurement and Control Network of Spaceflight M...

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3rd international conference on computer science and network technology (iccsnt)

作者： Guo Libing Li Yonggang He Jianwei Ding Ran Mao WenHao China Satellite Maritime Tracking & Controlling D Jiangyin 214431 Jiangsu Peoples R China

ISBN: (纸本)9781479905614

This paper presents a solution of measurement and control network based on ICE distributed middleware in connection with features and requirements of distributed measurement and control system. Taking example of space tracing ship system, this solution not only achieves efficient network communication in heterogeneous environment, but also realizes functions in the measurement and control network such as central node server migration, redundancy backup, data publishing/subscription and network information security.

关键词： ICE network Middleware Measurement and Control System

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Based on RPCL Center Control Site Location Searching Under Cloud Computing Situation 3

Based on RPCL Center Control Site Location Searching Under C...

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3rd international conference on computer science and network technology (iccsnt)

作者： Shen Jiajie Chen Zhiyun East China Normal Univ Ctr Comp Sch Informat Sci & Technol Shanghai Peoples R China

ISBN: (纸本)9781479905614

Aiming to problem of how to find center control site location of computer cluster to reduce the communication cost under cloud computing situation, using the method of replacing the distance function and improving update sample operator of standard RPCL(Rival Penalized Competitive Learning) algorithm, an improved RPCL algorithm is designed to handle to this problem. Though theoretical derivation, the characteristic of improved RPCL algorithm of is found, and the correctness of the improved RPCL algorithm is proofed. The correctness of the theoretical derivation and the algorithm is verified by the experiment.

关键词： cloud computing computer cluster RPCL algorithm

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Resource Allocation for OFDM-Based Decode-and-Forward Relay System with Selective Relaying 3rd

Resource Allocation for OFDM-Based Decode-and-Forward Relay ...

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3rd international conference on computer science and network technology (iccsnt)

作者： Miao Jiansong Ma Lin Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conve Beijing Peoples R China

ISBN: (纸本)9781479905614

We put the major point on the selective relaying scheme, based on the OFDM-based decode-and-forward relay system. A two-stage transmission protocol is adopted. That means the source sends data to both the destination and relay on the first stage. The relay retransmits a version of the received data on the second stage, if a certain threshold is reached. First, we give the capacity expression for this system and analyze the threshold determination for selective relaying. Aiming at improving the system capacity, resource allocation and sub carrier pairing are discussed then. According to our researches, the threshold is related to the channel coefficients of the source destination link and the source-relay link. Simulation results show that the selective relaying scheme with the resource allocation outperforms the schemes that every/no sub-carrier transmits data via relaying in the transmission, when the system capacity is taken into account.

关键词： selective relaying resource allocation capacity

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