Pub Date : 2023-10-31DOI: 10.1142/s0219525923400039
Emily Chao-Hui Huang, Frederick Kin Hing Phoa
An ego-centric network consists of a particular node (ego) that has relationships to all neighboring nodes (alters) in the network. Such network serves as an important tool to study the network structure of alters of the ego, and it is essential to present such network with good visualization. This work aims at introducing an efficient method, namely the Uniform Placement of Alters on Spherical Surface (U-PASS), to represent an ego-centric network so that all alters are scattered on the surface of the unit sphere uniformly. Unlike other simple uniformity that considers to maximize Euclidean distances among nodes, U-PASS is a three-stage method that spreads the alters with the consideration of existing edges among alters, no overlapping of node clusters, and node attribute information. Particle swarm optimization is employed to improve efficiency in node allocations. To guarantee the uniformity, we show the connection between our U-PASS to the minimum energy design on a two-dimensional flat plane with a specific gradient. Our simulation study shows good performance of U-PASS in terms of some distance statistics when compared to four state-of-the-art methods via self-organizing maps and force-driven approaches. We use a Facebook network to illustrate how this ego-centric network looks different after the alter nodes are allocated via our U-PASS.
以自我为中心的网络由一个特定的节点(自我)组成，该节点与网络中所有相邻节点(改变者)都有关系。这种网络是研究自我改变者网络结构的重要工具，将这种网络以良好的可视化方式呈现是至关重要的。本工作旨在引入一种高效的方法，即U-PASS (Uniform Placement of Alters on Spherical Surface)，来表示一个以自我为中心的网络，使所有的Alters均匀地分散在单位球面上。U-PASS方法不同于其他单纯考虑节点间欧氏距离最大化的均匀性方法，U-PASS是一种三阶段的方法，它在考虑了改动之间存在的边、节点簇不重叠、节点属性信息的情况下，将改动展开。采用粒子群算法提高节点分配效率。为了保证均匀性，我们在具有特定梯度的二维平面上展示了我们的U-PASS与最小能量设计之间的联系。我们的仿真研究表明，与通过自组织地图和力驱动方法的四种最先进的方法相比，U-PASS在一些距离统计方面表现良好。我们使用Facebook网络来说明，在通过U-PASS分配节点后，这个以自我为中心的网络看起来是如何不同的。
{"title":"A Uniform Placement of Alters on Spherical Surface (U-PASS) for Ego-Centric Networks with Community Structure and Alter Attributes","authors":"Emily Chao-Hui Huang, Frederick Kin Hing Phoa","doi":"10.1142/s0219525923400039","DOIUrl":"https://doi.org/10.1142/s0219525923400039","url":null,"abstract":"An ego-centric network consists of a particular node (ego) that has relationships to all neighboring nodes (alters) in the network. Such network serves as an important tool to study the network structure of alters of the ego, and it is essential to present such network with good visualization. This work aims at introducing an efficient method, namely the Uniform Placement of Alters on Spherical Surface (U-PASS), to represent an ego-centric network so that all alters are scattered on the surface of the unit sphere uniformly. Unlike other simple uniformity that considers to maximize Euclidean distances among nodes, U-PASS is a three-stage method that spreads the alters with the consideration of existing edges among alters, no overlapping of node clusters, and node attribute information. Particle swarm optimization is employed to improve efficiency in node allocations. To guarantee the uniformity, we show the connection between our U-PASS to the minimum energy design on a two-dimensional flat plane with a specific gradient. Our simulation study shows good performance of U-PASS in terms of some distance statistics when compared to four state-of-the-art methods via self-organizing maps and force-driven approaches. We use a Facebook network to illustrate how this ego-centric network looks different after the alter nodes are allocated via our U-PASS.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"9 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135765348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1142/s1793962325410016
Xiaoyang Lu, Yanjun Liu
Static Chinese Sign Language Recognition (SCSLR) is an important field of research in human–computer interaction and assistive technology. Traditional SCSLR methods usually rely on computer vison sensors, which are susceptible to effects such as hand shapes, lighting conditions, and occlusions, resulting in low recognition accuracy. Additionally, sensor-based SCSLR methods cannot achieve high recognition accuracy due to limited hand gesture information. In this paper, we propose a multi-sensor fusion method, using a DE–XGBoost model, to fuse the information of hand gesture and finger curvature to achieve the SCSLR, which can overcome the recognition error problems caused by insufficient sign language information. In addition, we design and implement a prototype system, which consists of a smartphone and a smart glove, to evaluate our proposed method in comparison with support vector machine (SVM), XGBoost, gcForest, and artificial neural network (ANN). Experimental results show that our proposed method achieves a better performance in terms of accuracy, robustness, and real-time processing.
{"title":"A multi-sensor fusion method for static Chinese sign language recognition using DE–XGBoost","authors":"Xiaoyang Lu, Yanjun Liu","doi":"10.1142/s1793962325410016","DOIUrl":"https://doi.org/10.1142/s1793962325410016","url":null,"abstract":"Static Chinese Sign Language Recognition (SCSLR) is an important field of research in human–computer interaction and assistive technology. Traditional SCSLR methods usually rely on computer vison sensors, which are susceptible to effects such as hand shapes, lighting conditions, and occlusions, resulting in low recognition accuracy. Additionally, sensor-based SCSLR methods cannot achieve high recognition accuracy due to limited hand gesture information. In this paper, we propose a multi-sensor fusion method, using a DE–XGBoost model, to fuse the information of hand gesture and finger curvature to achieve the SCSLR, which can overcome the recognition error problems caused by insufficient sign language information. In addition, we design and implement a prototype system, which consists of a smartphone and a smart glove, to evaluate our proposed method in comparison with support vector machine (SVM), XGBoost, gcForest, and artificial neural network (ANN). Experimental results show that our proposed method achieves a better performance in terms of accuracy, robustness, and real-time processing.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"34 42","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135765492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1142/s179396232350054x
Xiaonan Li, Ping Ma, Tao Chao, Ming Yang
{"title":"Review of the Application of Modeling and Estimation method in System Identification for Nonlinear State-space Models","authors":"Xiaonan Li, Ping Ma, Tao Chao, Ming Yang","doi":"10.1142/s179396232350054x","DOIUrl":"https://doi.org/10.1142/s179396232350054x","url":null,"abstract":"","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"29 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135566821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1142/s021952592350008x
Hiroshi Hamada
{"title":"Luck of Outcome in the Talent Versus Luck Model","authors":"Hiroshi Hamada","doi":"10.1142/s021952592350008x","DOIUrl":"https://doi.org/10.1142/s021952592350008x","url":null,"abstract":"","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1142/s1793962323500538
Hongbo Cheng, Ying Liu, Lin Zhang, Kunyu Wang, Han Lu
{"title":"Study on Military Metaverse and Applications","authors":"Hongbo Cheng, Ying Liu, Lin Zhang, Kunyu Wang, Han Lu","doi":"10.1142/s1793962323500538","DOIUrl":"https://doi.org/10.1142/s1793962323500538","url":null,"abstract":"","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"8 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135566610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1142/s1793962323500526
Yunbo Gao, Guanghong Gong, Ni Li
{"title":"Chinese relation extraction in military field based on multi-grained lattice transformer and imbalanced data classification","authors":"Yunbo Gao, Guanghong Gong, Ni Li","doi":"10.1142/s1793962323500526","DOIUrl":"https://doi.org/10.1142/s1793962323500526","url":null,"abstract":"","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"79 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1142/s1793962323500514
Divya Sharma, Dinesh C. S. Bisht, Pankaj Kumar Srivastava
The given paper discusses an intuitionistic fuzzy discrete time-space optimization model while taking into account the COVID-19 pandemic. The novelty of this study is characterized by the proposal of a distinctive multi-objective intuitionistic fuzzy transportation model in which the demand function varies with time as the number of infected, exposed and susceptible persons increase. Forecasting of demand is executed using the epidemic diffusion model. Also, a new approach to defuzzify triangular intuitionistic fuzzy numbers, depending upon the concept of the golden ratio, is presented. Intuitionistic fuzzy programming approach is used to obtain the pareto-optimal solution. A real-life numerical illustration is explained using the proposed methodology to examine its practical suitability. Outperforming the existing traditional method of solving a transportation problem verifies its proficiency.
{"title":"Intuitionistic Fuzzy Multi-Objective Transportation Model during Pandemic COVID-19","authors":"Divya Sharma, Dinesh C. S. Bisht, Pankaj Kumar Srivastava","doi":"10.1142/s1793962323500514","DOIUrl":"https://doi.org/10.1142/s1793962323500514","url":null,"abstract":"The given paper discusses an intuitionistic fuzzy discrete time-space optimization model while taking into account the COVID-19 pandemic. The novelty of this study is characterized by the proposal of a distinctive multi-objective intuitionistic fuzzy transportation model in which the demand function varies with time as the number of infected, exposed and susceptible persons increase. Forecasting of demand is executed using the epidemic diffusion model. Also, a new approach to defuzzify triangular intuitionistic fuzzy numbers, depending upon the concept of the golden ratio, is presented. Intuitionistic fuzzy programming approach is used to obtain the pareto-optimal solution. A real-life numerical illustration is explained using the proposed methodology to examine its practical suitability. Outperforming the existing traditional method of solving a transportation problem verifies its proficiency.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1142/s0219525923400040
Junwei Su, Peter Marbach
{"title":"Structural Properties of Core-Periphery Communities","authors":"Junwei Su, Peter Marbach","doi":"10.1142/s0219525923400040","DOIUrl":"https://doi.org/10.1142/s0219525923400040","url":null,"abstract":"","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135482318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-04DOI: 10.1142/s1793962325410028
Xianmei Chen, Renyou Le, Qihuan Hong, Han Lin
Sports exercise is very important for both physical and mental health, but improper exercise or equipment use may cause some security challenges. To address this issue, facing Internet of Things (IoT), currently, some video recognition algorithm-based smart security monitoring systems have been designed. However, existing video recognition algorithms usually assume that the data comes from the same collection device or follows the same distribution, resulting in ineffective handling of cross-camera or cross-device recognition problems. In this vein, this paper designed a transfer learning-based smart exercise monitoring security protection system, and proposed a new transfer learning-based video recognition framework, which consists of backbone network module, style transfer module, video feature aggregation module three parts and using this framework, two different models can be trained based on video face recognition dataset and video action recognition dataset, respectively, for identity recognition and action recognition. Experimental results show that the proposed framework can effectively handle video face recognition and video action recognition problems, which also demonstrates that our designed smart exercise monitoring security protection system can meet actual task requirements.
{"title":"Transfer Learning-Based Security Protection Framework for Smart Exercise Monitoring","authors":"Xianmei Chen, Renyou Le, Qihuan Hong, Han Lin","doi":"10.1142/s1793962325410028","DOIUrl":"https://doi.org/10.1142/s1793962325410028","url":null,"abstract":"Sports exercise is very important for both physical and mental health, but improper exercise or equipment use may cause some security challenges. To address this issue, facing Internet of Things (IoT), currently, some video recognition algorithm-based smart security monitoring systems have been designed. However, existing video recognition algorithms usually assume that the data comes from the same collection device or follows the same distribution, resulting in ineffective handling of cross-camera or cross-device recognition problems. In this vein, this paper designed a transfer learning-based smart exercise monitoring security protection system, and proposed a new transfer learning-based video recognition framework, which consists of backbone network module, style transfer module, video feature aggregation module three parts and using this framework, two different models can be trained based on video face recognition dataset and video action recognition dataset, respectively, for identity recognition and action recognition. Experimental results show that the proposed framework can effectively handle video face recognition and video action recognition problems, which also demonstrates that our designed smart exercise monitoring security protection system can meet actual task requirements.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135547273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-30DOI: 10.1142/s1793962323500502
Mingzhong Wu, Ming-Zhong Wu, Zhi-Hong Lin
The determination of standard values of vibration transmissibility at the wrist of the human body is very important to understanding vibration exposure and developing a valid model. In this work, the effects of human weight, gender, and other factors on the transmissibility of hand–arm vibration and vibration transmissibility in the [Formula: see text]-axis direction at the wrist site were randomly collected from 200 subjects (154 males and 46 females) as per the requirement of the standard ISO 10819. Moreover, the envelopes of the maximum and minimum values, as well as the mean and standard deviation of the vibration transmissibility at the wrist site, were obtained for both genders. Second, the effect of gender differences on the mean value of vibration transmissibility was analyzed. Finally, two three-degree-of-freedom (3-DOF) models of the hand–arm system were developed based on the average values of vibration transmissibility at the wrists of male and female subjects, respectively. The study revealed that the mean value of vibration transmissibility was greater in males than in females in the frequency range of 14–39 Hz. For the rest of the frequency ranges of females, their mean vibration transmissibility is greater than that of males, especially in the range 17–30 Hz. It was also observed that the vibration transmissibility of females is 10–18.5% smaller than that of males. The vibration transmissibility of females is greater than that of males by 40–83% when the frequencies are between 150 Hz and 250 Hz. The novelty of this proposed model is the prediction of model differences between males and females compared to other models that do so without considering gender differences. It is validated that the proposed modified model can be used to predict the vibration transmissibility of the wrist.
{"title":"Vibration transmissibility at male and female wrist of the human hand-arm system and modeling","authors":"Mingzhong Wu, Ming-Zhong Wu, Zhi-Hong Lin","doi":"10.1142/s1793962323500502","DOIUrl":"https://doi.org/10.1142/s1793962323500502","url":null,"abstract":"The determination of standard values of vibration transmissibility at the wrist of the human body is very important to understanding vibration exposure and developing a valid model. In this work, the effects of human weight, gender, and other factors on the transmissibility of hand–arm vibration and vibration transmissibility in the [Formula: see text]-axis direction at the wrist site were randomly collected from 200 subjects (154 males and 46 females) as per the requirement of the standard ISO 10819. Moreover, the envelopes of the maximum and minimum values, as well as the mean and standard deviation of the vibration transmissibility at the wrist site, were obtained for both genders. Second, the effect of gender differences on the mean value of vibration transmissibility was analyzed. Finally, two three-degree-of-freedom (3-DOF) models of the hand–arm system were developed based on the average values of vibration transmissibility at the wrists of male and female subjects, respectively. The study revealed that the mean value of vibration transmissibility was greater in males than in females in the frequency range of 14–39 Hz. For the rest of the frequency ranges of females, their mean vibration transmissibility is greater than that of males, especially in the range 17–30 Hz. It was also observed that the vibration transmissibility of females is 10–18.5% smaller than that of males. The vibration transmissibility of females is greater than that of males by 40–83% when the frequencies are between 150 Hz and 250 Hz. The novelty of this proposed model is the prediction of model differences between males and females compared to other models that do so without considering gender differences. It is validated that the proposed modified model can be used to predict the vibration transmissibility of the wrist.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136272244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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