Journal of Advanced Computational Intelligence and Intelligent Informatics最新文献

The Impact of Individual Heterogeneity on Household Asset Choice: An Empirical Study Based on China Family Panel Studies 个体异质性对家庭资产选择的影响——基于中国家庭面板研究的实证研究

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0748

Luyi Shen, Zeyang Li

引用次数: 0

Research on Active Disturbance Rejection Algorithm for Loading Control of 3-DOF Parallel Robot 三自由度并联机器人加载控制的自抗扰算法研究

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0923

Yu Liu, Yumeng Chen, Yu Gong, Guoxin Zhao

{"title":"Research on Active Disturbance Rejection Algorithm for Loading Control of 3-DOF Parallel Robot","authors":"Yu Liu, Yumeng Chen, Yu Gong, Guoxin Zhao","doi":"10.20965/jaciii.2023.p0923","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0923","url":null,"abstract":"A three-dimensional (3D) loading device based on a pneumatic 3-universal-prismatic-universal (UPU) parallel manipulator (three chains with UPU joint each) is designed to apply time-varying multi-dimensional loads to a target. First, according to the principle of vector superposition and Newton–Raphson method, the inverse and forward kinematics of the loading device are analyzed. Second, based on the screw theory, the static mapping between the dynamic platform and actuations is derived. Third, a second-order mathematical model is established for pneumatic 3-UPU parallel mechanism based on proportional flow valve and a metal seal pneumatic cylinder. A referential inaccurate model is provided for the control algorithm during modeling. Fourth, based on active disturbance rejection control (ADRC) technique, a 3D loading control algorithm is proposed and dynamic loading control is realized. Experimental results show that the ADRC algorithm has good robustness against disturbances, the steady-state control accuracy is less than 2 N, and the mean square error in dynamic tracking (sinusoidal tracking at 0.2 Hz) is less than 10.5 N.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"3 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":"136264994","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

Environmental Uncertainty and Idiosyncratic Risk: The Dual Role of Diversification Strategy 环境不确定性与特质风险:多元化战略的双重作用

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0866

Fengtao Hua, Rui Tang, Xin Leng

引用次数: 0

Can Sleep Apnea Be Detected from Human Pulse Waveform with Laplace Noise? 用拉普拉斯噪声从人体脉搏波形中检测睡眠呼吸暂停吗?

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0942

Itaru Kaneko, Le Trieu Phong, Keita Emura, Emi Yuda

引用次数: 0

Three Fuzzy c-Shapes Clustering Algorithms for Series Data 序列数据的三种模糊c形聚类算法

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0976

Mizuki Fujita, Yuchi Kanzawa

引用次数: 0

Human Motion Capture and Recognition Based on Sparse Inertial Sensor 基于稀疏惯性传感器的人体运动捕捉与识别

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0915

Huailiang Xia, Xiaoyan Zhao, Yan Chen, Tianyao Zhang, Yuguo Yin, Zhaohui Zhang

{"title":"Human Motion Capture and Recognition Based on Sparse Inertial Sensor","authors":"Huailiang Xia, Xiaoyan Zhao, Yan Chen, Tianyao Zhang, Yuguo Yin, Zhaohui Zhang","doi":"10.20965/jaciii.2023.p0915","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0915","url":null,"abstract":"The field of human motion capture technology represents an emergent and multifaceted domain that encapsulates various disciplines, including but not limited to computer graphics, ergonomics, and communication technology. A distinct network platform within its domain has been established to ensure the reliability and stability of data transmission. Moreover, a sink node has been configured to facilitate sensor data reception through two distinct channels. Notably, the simplicity of the measurement system is directly proportional to the limited number of sensors used. This study focuses on accurately estimating uncertain human 3D movements via a sparse arrangement of wearable inertial sensors, utilizing only six sensors within the system. The methodology is based on a time series sequence throughout the motion process, wherein a series of discontinuous actions constitute the sequential motion. Deep learning methodologies, specifically recurrent neural networks, were employed to refine the regression parameters. Our approach integrated both historical and present sensor data to forecast future sensor data. These data were amalgamated into a superposed input vector, which was fed back into a shallow neural network to estimate human motion. Our experimental results demonstrate the viability of this approach: the six sensors could accurately replicate representative poses. This finding carries significant implications for advancing and applying wearable devices within the realm of motion capture, offering the potential for widespread adoption and implementation.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"126 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":"136265001","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

Does Increasing Public Service Expenditure Slow the Long-Term Economic Growth Rate?—Evidence from China 增加公共服务支出会减缓长期经济增长率吗?——来自中国的证据

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0761

Weize Xiao

引用次数: 0

Prediction and Characteristic Analysis of Enterprise Digital Transformation Integrating XGBoost and SHAP 集成XGBoost与SHAP的企业数字化转型预测与特征分析

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0780

Dan Tang, Jiangying Wei

{"title":"Prediction and Characteristic Analysis of Enterprise Digital Transformation Integrating XGBoost and SHAP","authors":"Dan Tang, Jiangying Wei","doi":"10.20965/jaciii.2023.p0780","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0780","url":null,"abstract":"Objective: An interpretability model of enterprise digital transformation that integrates XGBoost and Shapley additive explanations (SHAP) is proposed to accurately identify the important factors that affect the digital transformation of enterprises and their mode of action, improve the digital capabilities and levels of enterprises, and prevent the risks of digital transformation of enterprises. Method: The annual report information of listed companies from 2009 to 2021 is used as the research object. First, the digital transformation index is constructed using the text mining method. Second, an enterprise digital transformation prediction model based on XGBoost is constructed and compared it with other mainstream algorithms, such as linear regression and random forest, to find a comprehensive optimal model. Finally, the SHAP interpretation framework is introduced to quantify and attribute the importance of each characteristic variable. Results: The results found that the XGBoost model outperformed the compared models in the mean absolute error and R 2 performance indicators. In addition, development capability, comprehensive capability, and solvency are important characteristics influencing the digital transformation of enterprises, and they differ in the way, direction, and strength of influence on the digital transformation of enterprises. Research value: This paper applies XGBoost integrated learning method to identify the factors of enterprise digital transformation, which enables enterprises to assess their digital transformation status, discover the key determinants of digital transformation, and adopt effective digital transformation modes for higher value.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"151 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":"136263558","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

Industrial Chain Map and Linkage Network Characteristics of Digital Economy 数字经济的产业链图与联动网络特征

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0739

Yanwu Chen, Haiming Ding, Jun Ma

引用次数: 0

Novel Concepts on Domination in Neutrosophic Incidence Graphs with Some Applications 中性粒细胞关联图中控制的新概念及其应用

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0837

Siti Nurul Fitriah Mohamad, Roslan Hasni, Florentin Smarandache

{"title":"Novel Concepts on Domination in Neutrosophic Incidence Graphs with Some Applications","authors":"Siti Nurul Fitriah Mohamad, Roslan Hasni, Florentin Smarandache","doi":"10.20965/jaciii.2023.p0837","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0837","url":null,"abstract":"In graph theory, the concept of domination is essential in a variety of domains. It has broad applications in diverse fields such as coding theory, computer network models, and school bus routing and facility location problems. If a fuzzy graph fails to obtain acceptable results, neutrosophic sets and neutrosophic graphs can be used to model uncertainty correlated with indeterminate and inconsistent information in arbitrary real-world scenario. In this study, we consider the concept of domination as it relates to single-valued neutrosophic incidence graphs (SVNIGs). Given the importance of domination and its utilization in numerous fields, we propose the application of dominating sets in SVNIG with valid edges. We present some relevant definitions such as those of valid edges, cardinality, and isolated vertices in SVNIG along with some examples. Furthermore, we also show a few significant sets connected to the dominating set in an SVNIG such as independent and irredundant sets. We also investigate a relationship between the concepts of dominating sets and domination numbers as well as irredundant and independence sets in SVNIGs. Finally, a real-life deployment of domination in SVNIGs is investigated in relation to COVID-19 vaccination locations as a practical application.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"80 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":"136264998","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