Journal of Advanced Computational Intelligence and Intelligent Informatics最新文献_第3页

Collaborative Search and Package Delivery Strategy for UAV Swarms Under Area Restrictions 区域限制下无人机群协同搜索与包裹投递策略

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0932

Ziwei Xin, Juan Li, Jie Li, Chang Liu

引用次数: 0

Blockchain and Cryptocurrency: A Bibliometric Analysis 区块链和加密货币:文献计量学分析

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0822

Shaily Jain, Chetan Sharma, Prasenjit Das, Shankar Shambhu, Hsin-Yuan Chen

{"title":"Blockchain and Cryptocurrency: A Bibliometric Analysis","authors":"Shaily Jain, Chetan Sharma, Prasenjit Das, Shankar Shambhu, Hsin-Yuan Chen","doi":"10.20965/jaciii.2023.p0822","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0822","url":null,"abstract":"Blockchain is a technology that collects data in a blockchain and allows transactions securely and transparently. It is used in many fields. Bibliometric publications examining detailed research trends in blockchain and cryptocurrency are still rare, but one bibliometric report did include research on the topic. The present work is filling in the void that eludes the study of research in the blockchain area. In the current work, we have included a wide range of blockchain and cryptocurrency research efforts to date. This study used the Scopus database to extract 2,045 articles from 2014 to 2021. The goal was to examine blockchain and cryptocurrency growth in volume, trend, global distribution, significant journals, pioneering authors, leading nations, and dominant sectors. This study highlights many aspects of worldwide blockchain and cryptocurrency research by researchers from all over the world. This research also studies how consensus decision-making and its processes are used. This study highlights many aspects of global blockchain and cryptocurrency research. This study also examines their use and consensus methods.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Massive Data Connection Architecture Design of Web Platform Based on Blockchain 基于区块链的Web平台海量数据连接架构设计

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0855

Hongping Cao, Hongxing Cao, Hongwei Zhou, Yifeng Wu, Siyu Xu

{"title":"Massive Data Connection Architecture Design of Web Platform Based on Blockchain","authors":"Hongping Cao, Hongxing Cao, Hongwei Zhou, Yifeng Wu, Siyu Xu","doi":"10.20965/jaciii.2023.p0855","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0855","url":null,"abstract":"In order to improve the universality and security of the data management of the Internet of Things and avoid the single point of failure problem in the traditional management architecture, this paper proposes a massive connection management architecture based on blockchain. The blockchain is reconstructed according to the hierarchical structure of blockchain technology, and with reference to the attribute-based access control mechanism, a data exchange model is designed using gossip mode and TLS networking mode to ensure the safe transmission of data. The peer computer network technology, data signature, and consensus mechanism are used to complete the design of the data exchange network layer and realize the design of the blockchain-based massive connection management architecture, so as to effectively avoid the single point of failure problem in the traditional management architecture and greatly reduce the burden of the management center. The access requests of massive devices in 5G application scenarios were simulated, and the results showed that the blockchain-based access control architecture designed in this article can quickly process received requests, with information leakage below 10%, improving the security and processing performance of data connections, achieving efficient processing and management of large-scale data, and providing reliable guarantees for the development of the Internet era.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136265002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SEP Optimization of Power System Location and Timing Module Based on MLE-KNN Synthesis Algorithm 基于MLE-KNN综合算法的电力系统定位与定时模块SEP优化

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0812

Yawei Xu, Wei Wang, Jia Zhou, Zhihua Zhu, Changzheng Yao

{"title":"SEP Optimization of Power System Location and Timing Module Based on MLE-KNN Synthesis Algorithm","authors":"Yawei Xu, Wei Wang, Jia Zhou, Zhihua Zhu, Changzheng Yao","doi":"10.20965/jaciii.2023.p0812","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0812","url":null,"abstract":"To ensure the safe operation of the power system, it is necessary to monitor and manage all kinds of power facilities. Real-time power monitoring can play a role in the early warning of geographical disasters. At the transmission end, the state detection and fault location of transmission lines are related to the normal operation of the power system. The precise time synchronization of the power system can be guaranteed through the satellite positioning time service, so that the time of various power operation actions is consistent. The accuracy can reach several microseconds, which provides a basis for the analysis of power grid operation. In this paper, by installing BeiDou functional modules in power equipment and developing the BeiDou operation platform for the distribution network, the precise management of power timing and positioning is realized by docking with the geographic information systems platform of the power grid. The three-dimensional sphere error probability (SEP) algorithm is selected to evaluate the positioning error data. Based on the three traditional SEP calculation methods, the maximum likelihood estimation algorithm is optimized and improved, which can achieve nanosecond synchronization accuracy. It can also be applied to other precision of synchronization scenarios of the power system to meet the development needs of the future clock system of the power system. Through the simulation of experimental data and comparison with other algorithms, the accuracy is verified and the reliable estimation of parameters is realized. Considering the information loss caused by dimension reduction evaluation, the simulation analysis in this paper is compared with other methods, and the accuracy is significantly improved. The power system positioning and timing module developed in this paper can not only be used in the power system but also has a certain reference and application value for other devices in the same industry that need timing and positioning services.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136264238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved Genetic Algorithm for Train Platform Rescheduling Under Train Arrival Delays 基于改进遗传算法的列车晚点站台调度

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0959

Shuxin Ding, Tao Zhang, Rongsheng Wang, Yanhao Sun, Xiaozhao Zhou, Chen Chen, Zhiming Yuan

{"title":"Improved Genetic Algorithm for Train Platform Rescheduling Under Train Arrival Delays","authors":"Shuxin Ding, Tao Zhang, Rongsheng Wang, Yanhao Sun, Xiaozhao Zhou, Chen Chen, Zhiming Yuan","doi":"10.20965/jaciii.2023.p0959","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0959","url":null,"abstract":"In this study, the train platform rescheduling problem (TPRP) at a high-speed railway station is analyzed. The adjustments of the train track assignment and train arrival/departure times under train arrival delays are addressed in the TPRP. The problem is formulated as a mixed-integer nonlinear programming model that minimizes the weighted sum of total train delays and rescheduling costs. An improved genetic algorithm (GA) is proposed, and the individual is represented as a platform track assignment and train departure priority, which is a mixed encoding scheme with integers and permutations. The individual is decoded into a feasible schedule comprising the platform track assignment and arrival/departure times of trains using a rule-based method for conflict resolution in the platform tracks and arrival/departure routes. The proposed GA is compared with state-of-the-art evolutionary algorithms. The experimental results confirm the superiority of the GA, which uses the mixed encoding and rule-based decoding, in terms of constraint handling and solution quality.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136264989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Thickness for Plastic Products Based on Terahertz Frequency-Domain Spectroscopy 基于太赫兹频谱的塑料制品厚度预测

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-07-20 DOI: 10.20965/jaciii.2023.p0726

Tian-yao Zhang, Boyang Li, Zhipeng Ye, Jianfeng Yan, Xiaoyan Zhao, Zhaohui Zhang

引用次数: 0

Human Pose Estimation with Multi-Camera Localization Using Multi-Objective Optimization Based on Topological Structured Learning 基于拓扑结构学习的多目标优化多相机定位人体姿态估计

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-07-20 DOI: 10.20965/jaciii.2023.p0543

T. Obo, Kunikazu Hamada, Masatoshi Eguchi, N. Kubota

引用次数: 0

Single Human Parsing Based on Visual Attention and Feature Enhancement 基于视觉注意和特征增强的单人解析

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-07-20 DOI: 10.20965/jaciii.2023.p0561

Zhi Ma, Lei Zhao, Longsheng Wei

引用次数: 0

Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace 基于信息粒化的高炉炉料分布状态识别方法

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-07-20 DOI: 10.20965/jaciii.2023.p0585

Yuanfeng Huang, Sheng Du, Jie Hu, W. Pedrycz, Min Wu

{"title":"Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace","authors":"Yuanfeng Huang, Sheng Du, Jie Hu, W. Pedrycz, Min Wu","doi":"10.20965/jaciii.2023.p0585","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0585","url":null,"abstract":"The operating conditions influence the stability and consumption of a blast furnace. Recognizing these conditions makes changing the burden distribution parameters more efficient. The cooling stave temperature (CST) is a crucial state parameter that indicates the conditions of the process. Owing to the high data volume of the CST and the lack of methods for recognizing the stability of the slag crust, it is difficult for operators to recognize the conditions accurately according to the CST during the ironmaking process. Thus, in this study, a condition recognition method with information granulation for burden distribution in a blast furnace was presented. First, information granulation was employed to reduce the volume of the CST data and present it in a granular form. Then, considering the lack of a method for calculating the similarity of CST information granules, a novel fuzzy similarity calculation method was devised to calculate the membership grades of information granules belonging to different standard granules. Finally, the conditions were recognized according to the membership values. Experimental results based on industrial data demonstrated that the proposed method can be used to recognizes the conditions in the blast furnace.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"18 1","pages":"585-593"},"PeriodicalIF":0.7,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86153507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimodal Facial Emotion Recognition Using Improved Convolution Neural Networks Model 基于改进卷积神经网络模型的多模态面部情绪识别

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-07-20 DOI: 10.20965/jaciii.2023.p0710

Chinonso Paschal Udeh, Luefeng Chen, Sheng Du, Min Li, Min Wu

{"title":"Multimodal Facial Emotion Recognition Using Improved Convolution Neural Networks Model","authors":"Chinonso Paschal Udeh, Luefeng Chen, Sheng Du, Min Li, Min Wu","doi":"10.20965/jaciii.2023.p0710","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0710","url":null,"abstract":"In the quest for human-robot interaction (HRI), leading to the development of emotion recognition, learning, and analysis capabilities, robotics plays a significant role in human perception, attention, decision-making, and social communication. However, the accurate recognition of emotions in HRI remains a challenge. This is due to the coexistence of multiple sources of information in utilizing multimodal facial expressions and head poses as multiple convolutional neural networks (CNN) and deep learning are combined. This research analyzes and improves the robustness of emotion recognition, and proposes a novel approach that optimizes traditional deep neural networks that fall into poor local optima when optimizing the weightings of the deep neural network using standard methods. The proposed approach adaptively finds the better weightings of the network, resulting in a hybrid genetic algorithm with stochastic gradient descent (HGASGD). This hybrid algorithm combines the inherent, implicit parallelism of the genetic algorithm with the better global optimization of stochastic gradient descent (SGD). An experiment shows the effectiveness of our proposed approach in providing complete emotion recognition through a combination of multimodal data, CNNs, and HGASGD, indicating that it represents a powerful tool in achieving interactions between humans and robotics. To validate and test the effectiveness of our proposed approach through experiments, the performance and reliability of our approach and two variants of HGASGD FER are compared using a large dataset of facial images. Our approach integrates multimodal information from facial expressions and head poses, enabling the system to recognize emotions better. The results show that CNN-HGASGD outperforms CNNs-SGD and other existing state-of-the-art methods in terms of FER.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"22 1","pages":"710-719"},"PeriodicalIF":0.7,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83497227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0