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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
{"title":"The Impact of Individual Heterogeneity on Household Asset Choice: An Empirical Study Based on China Family Panel Studies","authors":"Luyi Shen, Zeyang Li","doi":"10.20965/jaciii.2023.p0748","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0748","url":null,"abstract":"In China’s evolving market economy, household asset diversification and refinement have raised concerns about asset selection and rationalization for financial market development. Our research investigates the impact of individual heterogeneity factors, such as the “Big Three” personality traits and cognitive abilities, on household asset allocation behaviors, expanding upon the traditional focus on risky financial assets and the “Big Five” personality traits. We utilize data from the 2018 China Family Panel Studies and employ logistic and hurdle models to examine the breadth of household asset holdings. We utilize two-part models to explore the depth of household asset holdings. Our findings reveal the impact of different personality traits and cognitive abilities on the depth and breadth of different household assets. This study offers a more comprehensive understanding of household asset selection by considering various asset types and individual heterogeneity factors.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"150 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":"136263555","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
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
{"title":"Environmental Uncertainty and Idiosyncratic Risk: The Dual Role of Diversification Strategy","authors":"Fengtao Hua, Rui Tang, Xin Leng","doi":"10.20965/jaciii.2023.p0866","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0866","url":null,"abstract":"In response to escalating environmental uncertainty, corporate executives typically adjust their business strategy between diversification and refocusing. This study examines the effect of environmental uncertainty on idiosyncratic risk, as well as the moderating impact of diversification on this relationship. Utilizing a sample of companies listed on the Chinese stock market from 2005 to 2019, the results suggest that a significant positive correlation exists between uncertainty and idiosyncratic risk. As environmental uncertainty escalates, corporate managers increasingly opt for diversification before eventually refocusing their business strategy. Furthermore, while moderate diversification can mitigate the impact of uncertainty on idiosyncratic risk, excessive diversification intensifies this correlation. This research holds considerable significance for understanding the influence mechanism of idiosyncratic risk and ensuring the stability of the capital market.","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":"136264999","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
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
{"title":"Can Sleep Apnea Be Detected from Human Pulse Waveform with Laplace Noise?","authors":"Itaru Kaneko, Le Trieu Phong, Keita Emura, Emi Yuda","doi":"10.20965/jaciii.2023.p0942","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0942","url":null,"abstract":"Differential privacy is a powerful technique that protects the privacy of individuals in a dataset by adding controlled randomness. With the increasing developments in smart sensors, the use of various biometric database is expanding. If privacy protections coexist with advanced use of the biometric database, wider utilization is expected. One of the promising approaches is to apply differential privacy to biometric information, which is attracting attention in use cases such as Google. By adding Laplace noise to biometric information, differential privacy can be added. Our aim is to focus on peak to peak interval of electrocardiogram. It is useful bio-information because it is possible to know not only heart disease but also various physical conditions such as exercise amount, activity amount, fatigue, sleep based on it. In this study, we demonstrated that differential privacy can be applied to obtain the sleep apnea index from PPIs with Laplace noise. The observed correlations were 0.96 to 0.99 for the corresponding PPIs with Laplace noise.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"4 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":"136264990","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
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
{"title":"Three Fuzzy <i>c</i>-Shapes Clustering Algorithms for Series Data","authors":"Mizuki Fujita, Yuchi Kanzawa","doi":"10.20965/jaciii.2023.p0976","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0976","url":null,"abstract":"Various fuzzy clustering algorithms have been proposed for vectorial data. However, most of these methods have not been applied to series data. This study presents three fuzzy clustering algorithms for series data based on shape-based distances. The first algorithm involves Shannon entropy regularization of the k-shape objective function. The second algorithm is similar to the revised Bezdek-type fuzzy c -means algorithm obtained by replacing the membership of the hard c -means objective function with its power. The third algorithm involves Tsallis entropy regularization of the objective function of the second algorithm. Theoretical observations revealed that the third algorithm is a generalization of the first and second algorithms, which was validated by numerical experiments. Furthermore, numerical experiments were performed using 11 benchmark datasets to demonstrate that the third algorithm outperforms the others in terms of accuracy.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"57 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":"136264992","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
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
Multi-Modal Emotion Classification in Virtual Reality Using Reinforced Self-Training 基于强化自我训练的虚拟现实多模态情绪分类
Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0967
Yi Liu, Jianzhang Li, Dewen Cui, Eri Sato-Shimokawara
{"title":"Multi-Modal Emotion Classification in Virtual Reality Using Reinforced Self-Training","authors":"Yi Liu, Jianzhang Li, Dewen Cui, Eri Sato-Shimokawara","doi":"10.20965/jaciii.2023.p0967","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0967","url":null,"abstract":"Affective computing focuses on recognizing emotions using a combination of psychology, computer science, and biomedical engineering. With virtual reality (VR) becoming more widely accessible, affective computing has become increasingly important for supporting social interactions on online virtual platforms. However, accurately estimating a person’s emotional state in VR is challenging because it differs from real-world conditions, such as the unavailability of facial expressions. This research proposes a self-training method that uses unlabeled data and a reinforcement learning approach to select and label data more accurately. Experiments on a dataset of dialogues of VR players show that the proposed method achieved an accuracy of over 80% on dominance and arousal labels and outperformed previous techniques in the few-shot classification of emotions based on physiological signals.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"37 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":"136264986","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
Shuffle Graph Convolutional Network for Skeleton-Based Action Recognition 基于骨架动作识别的洗牌图卷积网络
Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0790
Qiwei Yu, Yaping Dai, Kaoru Hirota, Shuai Shao, Wei Dai
{"title":"Shuffle Graph Convolutional Network for Skeleton-Based Action Recognition","authors":"Qiwei Yu, Yaping Dai, Kaoru Hirota, Shuai Shao, Wei Dai","doi":"10.20965/jaciii.2023.p0790","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0790","url":null,"abstract":"A shuffle graph convolutional network (Shuffle-GCN) is proposed to recognize human action by analyzing skeleton data. It uses channel split and channel shuffle operations to process multi-feature channels of skeleton data, which reduces the computational cost of graph convolution operation. Compared with the classical two-stream adaptive graph convolutional network model, the proposed method achieves a higher precision with 1/3 of the floating-point operations (FLOPs). Even more, a channel-level topology modeling method is designed to extract more motion information of human skeleton by learning the graph topology from different channels dynamically. The performance of Shuffle-GCN is tested under 56,880 action clips from the NTU RGB+D dataset with the accuracy 96.0% and the computational complexity 12.8 GFLOPs. The proposed method offers feasible solutions for developing practical applications of action recognition.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"26 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":"136264995","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
Research on the Influence of Alliance Routines on the Ambidextrous Technological Catch-Up of Latecomers to Technology Standards Alliances 联盟惯例对技术标准联盟后发者双灵巧技术追赶的影响研究
Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0801
Jing Hu, Changjuan Lao, Xiaomeng Su
{"title":"Research on the Influence of Alliance Routines on the Ambidextrous Technological Catch-Up of Latecomers to Technology Standards Alliances","authors":"Jing Hu, Changjuan Lao, Xiaomeng Su","doi":"10.20965/jaciii.2023.p0801","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0801","url":null,"abstract":"This paper focuses on latecomers in technology standards alliances, a topic that has received limited attention in academia. Although latecomers have disadvantages in terms of technology and market access, they possess a strong desire to catch up technologically. As a fundamental characteristic of an alliance, alliance routines serve as a source of innovation for members and a basic unit of analysis, providing a new perspective for understanding and researching the technological catch-up of latecomers. In this paper, a questionnaire survey is conducted among 83 latecomer enterprises in a technology standards alliance. The survey covers strategic emerging industries, such as new energy, new-generation information technology, new materials, and high-end manufacturing. Then, hierarchical regression is performed for hypothesis testing. The research shows that the three dimensions of alliance routines significantly promote the utilization of technological catch-up by latecomer enterprises. However, the impact on the exploration technological catch-up varies, where the action logic promotes exploration technological catch-up while implicit norms hinder exploratory innovation with an inverted U-shaped impact. The absorptive capacity strengthens the positive impact of the three alliance routines on the exploitative innovation of latecomer enterprises and strengthens the inverted U-shaped relationship between mutual consensus and their exploratory innovation. Nonetheless, it fails to play a significant regulatory role in action logic or in the relationship between implicit norms and exploratory innovation of latecomers.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"31 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":"136265000","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
Detection of Mild Cognitive Impairment Using a Spiral Drawing Test 用螺旋图测验检测轻度认知障碍
Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI: 10.20965/jaciii.2023.p0907
Katsuya Fujiwara, Kenta Matsuhashi, Kazutaka Mitobe
{"title":"Detection of Mild Cognitive Impairment Using a Spiral Drawing Test","authors":"Katsuya Fujiwara, Kenta Matsuhashi, Kazutaka Mitobe","doi":"10.20965/jaciii.2023.p0907","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0907","url":null,"abstract":"Information and communication technology-based monitoring services for the elderly can be improved by using a monitoring function that automatically detects cognitive decline. Therefore, we developed a system that provides a brief screening for mild cognitive impairment (MCI). This screening is performed by measuring the performance of two tasks completed simultaneously on a tablet device, such as drawing a spiral and counting color changes. First, we used this system to measure and analyze three groups: elderly persons suspected of having MCI, elderly persons with no cognitive impairment, and healthy young adults. We extracted evaluation parameters relevant for determining MCI through analysis. Furthermore, we developed a detection method using the evaluation parameters and performed an evaluation. Cross-validation revealed that the sensitivity and specificity of this method were 90.0% and 75.0%, respectively.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"165 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":"136264237","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
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