Pub Date : 2024-08-19DOI: 10.26599/IJCS.2023.9100026
Xiaonuo Yang;Yueting Chai
With heart health issues attracting much attention, wearable electrocardiogram (ECG) monitoring devices show a broad market prospect. This paper develops a generic ECG pre-processing algorithm and proposes a method for the single-lead ECG classification problem based on model stacking. Features such as RR-intervals, power spectrum, and higher-order statistics are computed and grouped into three classes. The support vector machine (SVM) classifier is trained separately based on each class of features, and subsequently, a fourth SVM classifier is trained on the prediction results of the three SVM classifiers at the first layer. To obtain more realistic results and better comparisons with previous studies, the algorithm follows the ANSI/AAMI EC57:2012 standard and is tested on a real ECG database. The experimental results show that the algorithm in this paper better overcomes the impact of the data imbalance problem and obtains good results.
{"title":"ECG Signal Processing and Automatic Classification Algorithms","authors":"Xiaonuo Yang;Yueting Chai","doi":"10.26599/IJCS.2023.9100026","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100026","url":null,"abstract":"With heart health issues attracting much attention, wearable electrocardiogram (ECG) monitoring devices show a broad market prospect. This paper develops a generic ECG pre-processing algorithm and proposes a method for the single-lead ECG classification problem based on model stacking. Features such as RR-intervals, power spectrum, and higher-order statistics are computed and grouped into three classes. The support vector machine (SVM) classifier is trained separately based on each class of features, and subsequently, a fourth SVM classifier is trained on the prediction results of the three SVM classifiers at the first layer. To obtain more realistic results and better comparisons with previous studies, the algorithm follows the ANSI/AAMI EC57:2012 standard and is tested on a real ECG database. The experimental results show that the algorithm in this paper better overcomes the impact of the data imbalance problem and obtains good results.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 3","pages":"122-129"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638681","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Heterogeneous Electric Vehicle Routing Problem with Multiple Compartments and Multiple Trips for the Collection of Classified Waste","authors":"","doi":"","DOIUrl":"https://doi.org/","url":null,"abstract":"","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 3","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638668","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.26599/IJCS.2024.9100001
Toh Hsiang Benny Tan;Sufang Lim;Chan Hua Nicholas Vun
Mental health challenges, accentuated by stress, are escalating in high-income countries, especially among adolescents and university students. Traditional mental health approaches face issues such as scalability and accessibility, making the emergence of digital tools crucial. However, adherence remains a challenge. This study examines the role of technology self-efficacy and digital alliance in influencing the acceptance of digital mental health tools among Singaporean university students. The results provide strong support for the role of digital alliance as a key factor impacting a student's intention to use mental health tools, as well as technology self-efficacy and digital alliance as serial mediators of task-technology fit and intention to use, highlighting our ever-evolving relationship with technology.
{"title":"Role of Technology Self-Efficacy and Digital Alliance in Digital Mental Health Tool Acceptance Among University Students in Singapore","authors":"Toh Hsiang Benny Tan;Sufang Lim;Chan Hua Nicholas Vun","doi":"10.26599/IJCS.2024.9100001","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100001","url":null,"abstract":"Mental health challenges, accentuated by stress, are escalating in high-income countries, especially among adolescents and university students. Traditional mental health approaches face issues such as scalability and accessibility, making the emergence of digital tools crucial. However, adherence remains a challenge. This study examines the role of technology self-efficacy and digital alliance in influencing the acceptance of digital mental health tools among Singaporean university students. The results provide strong support for the role of digital alliance as a key factor impacting a student's intention to use mental health tools, as well as technology self-efficacy and digital alliance as serial mediators of task-technology fit and intention to use, highlighting our ever-evolving relationship with technology.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 3","pages":"101-109"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.26599/IJCS.2024.9100020
Qian Liu;Yang Lyu;Jian Tang;Weiguo Fan
Curbing the dissemination of fake news in social media has been a major issue in recent years. Previous studies have suggested that the general public can recognize fake news, showing the feasibility of applying crowd ratings to identify fake news. However, the effectiveness of crowd ratings for curbing the dissemination of fake news is uncertain. This study constructed an online experimental platform to simulate Sina Microblog and designed a crowd rating strategy to compare and validate the difference between the absence vs. the presence of crowd ratings, and crowd ratings vs. expert ratings, in curbing the dissemination of fake news. We found that the presence of crowd ratings inhibited users' dissemination of fake news compared to the absence of crowd ratings. Moreover, there was no significant difference between the suppression effects of crowd ratings and expert ratings, both of which were effective in curbing the dissemination of fake news. Crowd rating uses collective intelligence to intervene in users' perceptions and behaviors at the onset of fake news dissemination, providing a cost-effective and efficient solution to combat the spread of fake news on social media.
{"title":"Optimizing the Service Efficacy of Crowd Ratings in Curbing Fake News Dissemination on Social Media","authors":"Qian Liu;Yang Lyu;Jian Tang;Weiguo Fan","doi":"10.26599/IJCS.2024.9100020","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100020","url":null,"abstract":"Curbing the dissemination of fake news in social media has been a major issue in recent years. Previous studies have suggested that the general public can recognize fake news, showing the feasibility of applying crowd ratings to identify fake news. However, the effectiveness of crowd ratings for curbing the dissemination of fake news is uncertain. This study constructed an online experimental platform to simulate Sina Microblog and designed a crowd rating strategy to compare and validate the difference between the absence vs. the presence of crowd ratings, and crowd ratings vs. expert ratings, in curbing the dissemination of fake news. We found that the presence of crowd ratings inhibited users' dissemination of fake news compared to the absence of crowd ratings. Moreover, there was no significant difference between the suppression effects of crowd ratings and expert ratings, both of which were effective in curbing the dissemination of fake news. Crowd rating uses collective intelligence to intervene in users' perceptions and behaviors at the onset of fake news dissemination, providing a cost-effective and efficient solution to combat the spread of fake news on social media.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 3","pages":"110-121"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638683","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.26599/IJCS.2024.9100015
Leiju Qiu;Xiao Sun;Yong Tu;Yang Zhao
The high efficacy of metro network services not only enhances residents' travel quality but also brings significant socio-economic benefits, thus is of great importance to urban land use and city development. Existing methods for measuring metro service efficacy often overlook metro network connectivity and rely heavily on subjective questionnaire data analysis from the user experience perspective. This paper proposes a method to measure metro network service efficacy from the user's perspective. The approach first calculates the connectivity index of metro network and estimates the housing premium brought by metro network connectivity, which reveals users' willingness to pay for metro network connectivity. This method objectively measures metro network service efficacy from the user's perspective. Based on this, efficacy optimization methods are proposed, providing quantitative simulation methods for metro expansion, site selection, operation quality adjustments, etc., which are of great reference value to metro management departments and even urban sustainable development.
{"title":"Measurement and Optimization of Metro Network Service Efficacy","authors":"Leiju Qiu;Xiao Sun;Yong Tu;Yang Zhao","doi":"10.26599/IJCS.2024.9100015","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100015","url":null,"abstract":"The high efficacy of metro network services not only enhances residents' travel quality but also brings significant socio-economic benefits, thus is of great importance to urban land use and city development. Existing methods for measuring metro service efficacy often overlook metro network connectivity and rely heavily on subjective questionnaire data analysis from the user experience perspective. This paper proposes a method to measure metro network service efficacy from the user's perspective. The approach first calculates the connectivity index of metro network and estimates the housing premium brought by metro network connectivity, which reveals users' willingness to pay for metro network connectivity. This method objectively measures metro network service efficacy from the user's perspective. Based on this, efficacy optimization methods are proposed, providing quantitative simulation methods for metro expansion, site selection, operation quality adjustments, etc., which are of great reference value to metro management departments and even urban sustainable development.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 3","pages":"149-158"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638682","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language, i.e., English, thanks in part to the considerable amount of labeled resources. More labeled resources, better word representations. However, most low-resource languages do not have such an abundance of labeled data as high-resource English, leading to poor performance of NER in these low-resource languages due to poor word representations. In the paper, we propose converse attention network (CAN) to augment word representations in low-resource languages from the high-resource language, improving the performance of NER in low-resource languages by transferring knowledge learned in the high-resource language. CAN first translates sentences in low-resource languages into high-resource English using an attention-based translation module. In the process of translation, CAN obtains the attention matrices that align word representations of high-resource language space and low-resource language space. Furthermore, CAN augments word representations learned in low-resource language space with word representations learned in high-resource language space using the attention matrices. Experiments on four low-resource NER datasets show that CAN achieves consistent and significant performance improvements, which indicates the effectiveness of CAN.
近年来，自然语言处理（NLP）的许多任务都取得了巨大成功，例如命名实体识别（NER），特别是在高资源语言（即英语）中，这在一定程度上要归功于大量的标注资源。更多的标注资源，更好的词语表征。然而，大多数低资源语言并不像高资源英语那样拥有如此丰富的标注数据，从而导致这些低资源语言的 NER 因单词表征不佳而表现不佳。在本文中，我们提出了反向注意力网络（CAN）来增强高资源语言在低资源语言中的单词表征，通过转移在高资源语言中学到的知识来提高低资源语言的 NER 性能。CAN 首先使用基于注意力的翻译模块将低资源语言的句子翻译成高资源英语。在翻译过程中，CAN 获得了将高资源语言空间和低资源语言空间的单词表征对齐的注意力矩阵。此外，CAN 还利用注意力矩阵将在低资源语言空间学习到的单词表征与在高资源语言空间学习到的单词表征进行增强。在四个低资源 NER 数据集上进行的实验表明，CAN 实现了持续而显著的性能提升，这表明了 CAN 的有效性。
{"title":"Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition","authors":"Shengfei Lyu;Linghao Sun;Huixiong Yi;Yong Liu;Huanhuan Chen;Chunyan Miao","doi":"10.26599/IJCS.2023.9100014","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100014","url":null,"abstract":"In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language, i.e., English, thanks in part to the considerable amount of labeled resources. More labeled resources, better word representations. However, most low-resource languages do not have such an abundance of labeled data as high-resource English, leading to poor performance of NER in these low-resource languages due to poor word representations. In the paper, we propose converse attention network (CAN) to augment word representations in low-resource languages from the high-resource language, improving the performance of NER in low-resource languages by transferring knowledge learned in the high-resource language. CAN first translates sentences in low-resource languages into high-resource English using an attention-based translation module. In the process of translation, CAN obtains the attention matrices that align word representations of high-resource language space and low-resource language space. Furthermore, CAN augments word representations learned in low-resource language space with word representations learned in high-resource language space using the attention matrices. Experiments on four low-resource NER datasets show that CAN achieves consistent and significant performance improvements, which indicates the effectiveness of CAN.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 3","pages":"140-148"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638678","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.26599/IJCS.2023.9100030
Zhishuo Liu;Lujing Sun;Xingquan Zuo;Haoxiang Li
This paper studies the collection of classified waste using electric commercial vehicles (ECVs). The fleet of ECVs is heterogeneous, and ECVs have separated compartments, namely, they have different capacities for each type of waste. Each ECV is allowed to deliver multiple times and can be recharged more than once in public recharging stations during its route. A mathematical model is proposed for the heterogeneous electric vehicle routing problem with multiple compartments, multiple trips, and time windows (HEVRP-MCMT). The objective of the problem is to minimize the vehicle fixed cost and variable energy consumption cost. A hybrid ant colony optimization (ACO) with variable neighborhood search (VNS) is developed and applied to a number of problem instances and a real-life instance. Numerical results show that, for small-scale problem instances, our approach finds better or the same optimal solutions in a significantly shorter computational time than CPLEX; for large-scale problem instances, our approach outperforms two meta-heuristics. Experiments on a real-life problem instance show that using a fleet of multicompartment vehicles can save considerable cost compared with using single-compartment vehicles only.
{"title":"Heterogeneous Electric Vehicle Routing Problem with Multiple Compartments and Multiple Trips for the Collection of Classified Waste","authors":"Zhishuo Liu;Lujing Sun;Xingquan Zuo;Haoxiang Li","doi":"10.26599/IJCS.2023.9100030","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100030","url":null,"abstract":"This paper studies the collection of classified waste using electric commercial vehicles (ECVs). The fleet of ECVs is heterogeneous, and ECVs have separated compartments, namely, they have different capacities for each type of waste. Each ECV is allowed to deliver multiple times and can be recharged more than once in public recharging stations during its route. A mathematical model is proposed for the heterogeneous electric vehicle routing problem with multiple compartments, multiple trips, and time windows (HEVRP-MCMT). The objective of the problem is to minimize the vehicle fixed cost and variable energy consumption cost. A hybrid ant colony optimization (ACO) with variable neighborhood search (VNS) is developed and applied to a number of problem instances and a real-life instance. Numerical results show that, for small-scale problem instances, our approach finds better or the same optimal solutions in a significantly shorter computational time than CPLEX; for large-scale problem instances, our approach outperforms two meta-heuristics. Experiments on a real-life problem instance show that using a fleet of multicompartment vehicles can save considerable cost compared with using single-compartment vehicles only.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 3","pages":"130-139"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638679","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mining potential and valuable medical knowledge from massive medical data to support clinical decision-making has become an important research field. Personalized medicine recommendation is an important research direction in this field, aiming to recommend the most suitable medicines for each patient according to the health status of the patient. Personalized medicine recommendation can assist clinicians to make clinical decisions and avoid the occurrence of medical abnormalities, so it has been widely concerned by many researchers. Based on this, this paper makes a comprehensive review of personalized medicine recommendation. Specifically, we first make clear the definition of personalized medicine recommendation problem; then, starting from the key theories and technologies, the personalized medicine recommendation algorithms proposed in recent years are systematically classified (medicine recommendation based on multi-disease, medicine recommendation with combination pattern, medicine recommendation with additional knowledge, and medicine recommendation based on feedback) and in-depth analyzed; and this paper also introduces how to evaluate personalized medicine recommendation algorithms and some common evaluation indicators; finally, the challenges of personalized medicine recommendation problem are put forward, and the future research direction and development trends are prospected.
{"title":"A Survey of Personalized Medicine Recommendation","authors":"Fanglin Zhu;Lizhen Cui;Yonghui Xu;Zhe Qu;Zhiqi Shen","doi":"10.26599/IJCS.2023.9100013","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100013","url":null,"abstract":"Mining potential and valuable medical knowledge from massive medical data to support clinical decision-making has become an important research field. Personalized medicine recommendation is an important research direction in this field, aiming to recommend the most suitable medicines for each patient according to the health status of the patient. Personalized medicine recommendation can assist clinicians to make clinical decisions and avoid the occurrence of medical abnormalities, so it has been widely concerned by many researchers. Based on this, this paper makes a comprehensive review of personalized medicine recommendation. Specifically, we first make clear the definition of personalized medicine recommendation problem; then, starting from the key theories and technologies, the personalized medicine recommendation algorithms proposed in recent years are systematically classified (medicine recommendation based on multi-disease, medicine recommendation with combination pattern, medicine recommendation with additional knowledge, and medicine recommendation based on feedback) and in-depth analyzed; and this paper also introduces how to evaluate personalized medicine recommendation algorithms and some common evaluation indicators; finally, the challenges of personalized medicine recommendation problem are put forward, and the future research direction and development trends are prospected.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 2","pages":"77-82"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530641","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-14DOI: 10.26599/IJCS.2024.9100002
Qiuju Chen;Kai Zhang;Jian Pang;Shancai Zhang;Guangyao Feng;Congfeng Wu;Wei Li
The multi-channel transcranial magnetic stimulator is commonly used for rehabilitation treatment of ischemic cerebrovascular disease, neurosis, and brain injury diseases in the elderly. And multiple high coherency signals are required as inputs for its test, which are with consistent frequency, adjustable amplitude, equal magnitude, and long-time phase consistency ≤±1°. But ordinary signal sources have only one output channel, which is far from meeting the test requirements. If the traditional power division is used for the duplication, the phase difference between the channels will be larger than ±1°. If the multi-throw Radio Frequency (RF) switch is used, it will seriously affect the phase consistency of the input signal and increase the distortion of the signal. In order to solve the above problems, the method to extend the output of the microwave signal source has been proposed in the paper by using the integrated transceiver AD9361. The proposed method can realize the duplication of the number of signal channels according to user requirements. Then a signal replicator has been designed by combining AD9361 chip and Field-Programmable Gate Array (FPGA) control module. The experimental platform has been built to test the performance of the designed device. Experimental results show that the duplicated signals are highly consistent with the source signal in the power amplitude and frequency, meanwhile the phase of the duplicated signals are all highly consistent with each other.
{"title":"Microwave Signal Replicator Design for Testing of the Multi-Channel Transcranial Magnetic Stimulator","authors":"Qiuju Chen;Kai Zhang;Jian Pang;Shancai Zhang;Guangyao Feng;Congfeng Wu;Wei Li","doi":"10.26599/IJCS.2024.9100002","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100002","url":null,"abstract":"The multi-channel transcranial magnetic stimulator is commonly used for rehabilitation treatment of ischemic cerebrovascular disease, neurosis, and brain injury diseases in the elderly. And multiple high coherency signals are required as inputs for its test, which are with consistent frequency, adjustable amplitude, equal magnitude, and long-time phase consistency ≤±1°. But ordinary signal sources have only one output channel, which is far from meeting the test requirements. If the traditional power division is used for the duplication, the phase difference between the channels will be larger than ±1°. If the multi-throw Radio Frequency (RF) switch is used, it will seriously affect the phase consistency of the input signal and increase the distortion of the signal. In order to solve the above problems, the method to extend the output of the microwave signal source has been proposed in the paper by using the integrated transceiver AD9361. The proposed method can realize the duplication of the number of signal channels according to user requirements. Then a signal replicator has been designed by combining AD9361 chip and Field-Programmable Gate Array (FPGA) control module. The experimental platform has been built to test the performance of the designed device. Experimental results show that the duplicated signals are highly consistent with the source signal in the power amplitude and frequency, meanwhile the phase of the duplicated signals are all highly consistent with each other.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 2","pages":"83-87"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530643","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-14DOI: 10.26599/IJCS.2024.9100006
Ping Chen;Xinjia Yu;Su Fang Lim;Zhiqi Shen
Ikigai, a Japanese term often referred to as “purpose in life” or “the feeling that life is worthwhile”, is a commonly used indicator of well-being in studies focused on the elderly population in Japan. It can be identified within the different realms like family, work, and friendship. However, as individuals age, their sense of ikigai is prone to diminish. Teachable agents (TAs) have been employed in educational settings for decades to facilitate learning by teaching students. Previous research has indicated that TAs can have a positive impact on self-esteem which is an important aspect of ikigai. TAs may hold the potential to address issues related to declining ikigai that are often associated with aging. By engaging in the act of teaching the agent, elderly individuals may experience a sense of being needed, consequently enhancing their self-esteem and potentially leading to an improvement in their ikigai levels. In this paper, we introduce a TA designed around the concept of ikigai, aiming at assisting the elderly in maintaining a high level of ikigai to support healthy aging. Based on a user study conducted using the phenomenographical approach, we demonstrate the effectiveness of our proposed TA design.
{"title":"Enhancing the Well-Being of Seniors: A Teachable Agent for Ikigai","authors":"Ping Chen;Xinjia Yu;Su Fang Lim;Zhiqi Shen","doi":"10.26599/IJCS.2024.9100006","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100006","url":null,"abstract":"Ikigai, a Japanese term often referred to as “purpose in life” or “the feeling that life is worthwhile”, is a commonly used indicator of well-being in studies focused on the elderly population in Japan. It can be identified within the different realms like family, work, and friendship. However, as individuals age, their sense of ikigai is prone to diminish. Teachable agents (TAs) have been employed in educational settings for decades to facilitate learning by teaching students. Previous research has indicated that TAs can have a positive impact on self-esteem which is an important aspect of ikigai. TAs may hold the potential to address issues related to declining ikigai that are often associated with aging. By engaging in the act of teaching the agent, elderly individuals may experience a sense of being needed, consequently enhancing their self-esteem and potentially leading to an improvement in their ikigai levels. In this paper, we introduce a TA designed around the concept of ikigai, aiming at assisting the elderly in maintaining a high level of ikigai to support healthy aging. Based on a user study conducted using the phenomenographical approach, we demonstrate the effectiveness of our proposed TA design.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 2","pages":"71-76"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530640","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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