Pub Date : 2021-07-01DOI: 10.9708/JKSCI.2021.26.07.037
Jaeyong Kang, Jeonghwan Gwak
] Automatic classification of brain MRI images play an important role in early diagnosis of brain tumors. In this work
脑MRI图像的自动分类对脑肿瘤的早期诊断具有重要作用。在这项工作中
{"title":"Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features","authors":"Jaeyong Kang, Jeonghwan Gwak","doi":"10.9708/JKSCI.2021.26.07.037","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.07.037","url":null,"abstract":"] Automatic classification of brain MRI images play an important role in early diagnosis of brain tumors. In this work","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"10 1","pages":"37-44"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82793016","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}
Pub Date : 2021-07-01DOI: 10.9708/JKSCI.2021.26.07.109
Jiao Zou, Sungjoon Yoon
Different from previous studies, this study focuses on accommodation providers' personalization services and platform convenience variables, identifying how these prior factors affect perceived value and trust in accommodation services on a shared homestay platform, and how consumers' innovation plays a role in the process. Through this, we would like to identify the mechanism of interaction between accommodation service providers and consumers mediated by the shared homestay platform and present implications for a more customer-centered platform operation strategy. This study has an extended meaning for prior research, empirically confirming that the increase in personalized offline service quality of personalized hosts in shared economic models has a positive impact on perceived value and platform trust of consumers. At the same time, we confirm that under the shared economy model, consumers' innovation propensity plays an important positive role in regulating their perceived value aspects as well as their confidence in the platform.
{"title":"A study on the impact of host's personalized offline services and platform ease of use on shared homestay consumers' purchase intention","authors":"Jiao Zou, Sungjoon Yoon","doi":"10.9708/JKSCI.2021.26.07.109","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.07.109","url":null,"abstract":"Different from previous studies, this study focuses on accommodation providers' personalization services and platform convenience variables, identifying how these prior factors affect perceived value and trust in accommodation services on a shared homestay platform, and how consumers' innovation plays a role in the process. Through this, we would like to identify the mechanism of interaction between accommodation service providers and consumers mediated by the shared homestay platform and present implications for a more customer-centered platform operation strategy. This study has an extended meaning for prior research, empirically confirming that the increase in personalized offline service quality of personalized hosts in shared economic models has a positive impact on perceived value and platform trust of consumers. At the same time, we confirm that under the shared economy model, consumers' innovation propensity plays an important positive role in regulating their perceived value aspects as well as their confidence in the platform.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"56 1","pages":"109-118"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80164490","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}
Pub Date : 2021-07-01DOI: 10.9708/JKSCI.2021.26.07.065
Jaewon Lim, Hyo-Suk Song
[Abstract] The purpose of this study is to cornpare the differences in clinical competence, knowledge of patient safety management and confidence of patient safety management according to the clinical practice experience of nursing students, Of the 73 nursing students who experienced clinical practice and 35 nursing students who did not experience, a total of 108 students in the third grade were analyzed, In the results of this study, clinical competence(t=.88, p=.377) knowledge of patient safety management(t=-.29, p=.773), and confidence of patient safety management(t=1.11, p=.267) the difference between was not statistically significant in the two groups. In the two groups, the score of the sub-area according to each variable is the lowest. First, the sub-area of the nursing process a lowest score in clinical competence, and the second, the sub-area of measuring knowledge about concept of near miss was the Knowledge of patient safety management. The score was the lowest in, and thirdly, the sub-area of writing an incident report when an error occurred had the lowest score in confidence of patient safety management. Therefore, in order to improve the quality of clinical competence of nursing students, it is necessary to develop a strategic educational guideline to improve the clinical practice education environment, to improve patient safety management capabilities and to cultivate correct attitudes toward patient safety management.
{"title":"A Comparison of the Clinical Competence, Knowledge of Patient Safety Management and Confidence of Patient Safety Management according to Clinical Practice Experience of Nursing Students","authors":"Jaewon Lim, Hyo-Suk Song","doi":"10.9708/JKSCI.2021.26.07.065","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.07.065","url":null,"abstract":"[Abstract] The purpose of this study is to cornpare the differences in clinical competence, knowledge of patient safety management and confidence of patient safety management according to the clinical practice experience of nursing students, Of the 73 nursing students who experienced clinical practice and 35 nursing students who did not experience, a total of 108 students in the third grade were analyzed, In the results of this study, clinical competence(t=.88, p=.377) knowledge of patient safety management(t=-.29, p=.773), and confidence of patient safety management(t=1.11, p=.267) the difference between was not statistically significant in the two groups. In the two groups, the score of the sub-area according to each variable is the lowest. First, the sub-area of the nursing process a lowest score in clinical competence, and the second, the sub-area of measuring knowledge about concept of near miss was the Knowledge of patient safety management. The score was the lowest in, and thirdly, the sub-area of writing an incident report when an error occurred had the lowest score in confidence of patient safety management. Therefore, in order to improve the quality of clinical competence of nursing students, it is necessary to develop a strategic educational guideline to improve the clinical practice education environment, to improve patient safety management capabilities and to cultivate correct attitudes toward patient safety management.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"29 1","pages":"65-73"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79308846","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}
Pub Date : 2021-06-01DOI: 10.9708/JKSCI.2021.26.06.115
Donghoon Lee, Namgyu Kim
{"title":"Methodology for Search Intent-based Document Recommendation","authors":"Donghoon Lee, Namgyu Kim","doi":"10.9708/JKSCI.2021.26.06.115","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.06.115","url":null,"abstract":"","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"49 1","pages":"115-127"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76002464","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}
Pub Date : 2021-04-01DOI: 10.9708/JKSCI.2021.26.04.203
Qiaomeng Ying, kim kyeong-ran
With the advent of the age of"untact" modern people are pursuing a healthy body and mind. In order to achieve well-being, LOHAS and Wellness,people prefer to use natural affinity alternative therapies, Aromatherapy. This study focuses on women in their 20s~50s in Zhejiang Province, with the aim of investigating their knowledge and use of essential oils.The questionnaire was divided into four parts: 3 questions for general question, 11 questions for knowledge, 13 questions for use and 9 questions for satisfaction. In addition, the study was conducted using the WeChat and the Wenjuanxing Program from July 5 to August 30, 2019. Finally, a total of 617 questionnaires were analyzed. In this study, SPSS WIN 21.0 program is used for frequency analysis. The level of knowledge and satisfaction is verified by Cronbach‘s α. And the following analysis results were obtained by frequency analysis, descriptive statistics, Chi-squared test(), one-way ANOVA on the understanding level and usege of essential oils according to age. The results were as follows. The most common characteristics of subjects were the 20s, university students, essential oil recognition was high in having experience. There is no great difference in knowledge or satisfaction depending on age. knowledge and satisfaction was moderate. The results of experience in the use of essential oils were higher among all age groups, those who in their 30s did not think that the use of essential oils would be effective. However, people in their 20s and 40s and older have unclear answers, indicating that results showed a difference. The results of the survey on usage showed that there were significant differences in period of use, place of purchase, method of purchase, purpose of use, place of use, number of use, frequency of use, body parts of use. According to the study, awareness and knowledge of essential oils vary according to age, and those in their 20s use essential oils for facial skin, and those in their 30s and older use essential oils for stress relief and body management. This study provides basic information on marketing related to diversified essential oil products according to age.
{"title":"A Study on the Knowledge and Use of Essential Oil by People of Different Age -Focused on women in Zhejiang, China-","authors":"Qiaomeng Ying, kim kyeong-ran","doi":"10.9708/JKSCI.2021.26.04.203","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.04.203","url":null,"abstract":"With the advent of the age of\"untact\" modern people are pursuing a healthy body and mind. In order to achieve well-being, LOHAS and Wellness,people prefer to use natural affinity alternative therapies, Aromatherapy. This study focuses on women in their 20s~50s in Zhejiang Province, with the aim of investigating their knowledge and use of essential oils.The questionnaire was divided into four parts: 3 questions for general question, 11 questions for knowledge, 13 questions for use and 9 questions for satisfaction. In addition, the study was conducted using the WeChat and the Wenjuanxing Program from July 5 to August 30, 2019. Finally, a total of 617 questionnaires were analyzed. In this study, SPSS WIN 21.0 program is used for frequency analysis. The level of knowledge and satisfaction is verified by Cronbach‘s α. And the following analysis results were obtained by frequency analysis, descriptive statistics, Chi-squared test(), one-way ANOVA on the understanding level and usege of essential oils according to age. The results were as follows. The most common characteristics of subjects were the 20s, university students, essential oil recognition was high in having experience. There is no great difference in knowledge or satisfaction depending on age. knowledge and satisfaction was moderate. The results of experience in the use of essential oils were higher among all age groups, those who in their 30s did not think that the use of essential oils would be effective. However, people in their 20s and 40s and older have unclear answers, indicating that results showed a difference. The results of the survey on usage showed that there were significant differences in period of use, place of purchase, method of purchase, purpose of use, place of use, number of use, frequency of use, body parts of use. According to the study, awareness and knowledge of essential oils vary according to age, and those in their 20s use essential oils for facial skin, and those in their 30s and older use essential oils for stress relief and body management. This study provides basic information on marketing related to diversified essential oil products according to age.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"27 1","pages":"203-211"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85133990","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}
Pub Date : 2021-04-01DOI: 10.9708/JKSCI.2021.26.04.213
Si-Jae No, Yoo-Jin Moon, Youngho Hwang
In this paper, we suggest the Deep Neural Network Model System for predicting results of the match of ‘League of Legends (LOL).’ The model utilized approximately 26,000 matches of the LOL game and Keras of Tensorflow. It performed an accuracy of 93.75% without overfitting disadvantage in predicting the ‘2020 League of Legends Worlds Championship’ utilizing the real data in the middle of the game. It employed functions of Sigmoid, Relu and Logcosh, for better performance. The experiments found that the four variables largely affected the accuracy of predicting the match --‘Dragon Gap’, ‘Level Gap’, ‘Blue Rift Heralds’, and ‘Tower Kills Gap,’ and ordinary users can also use the model to help develop game strategies by focusing on four elements. Furthermore, the model can be applied to predicting the match of E-sports professional leagues around the world and to the useful training indicators for professional teams, contributing to vitalization of E-sports.
{"title":"Quantitative Analysis for Win/Loss Prediction of 'League of Legends' Utilizing the Deep Neural Network System through Big Data","authors":"Si-Jae No, Yoo-Jin Moon, Youngho Hwang","doi":"10.9708/JKSCI.2021.26.04.213","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.04.213","url":null,"abstract":"In this paper, we suggest the Deep Neural Network Model System for predicting results of the match of ‘League of Legends (LOL).’ The model utilized approximately 26,000 matches of the LOL game and Keras of Tensorflow. It performed an accuracy of 93.75% without overfitting disadvantage in predicting the ‘2020 League of Legends Worlds Championship’ utilizing the real data in the middle of the game. It employed functions of Sigmoid, Relu and Logcosh, for better performance. The experiments found that the four variables largely affected the accuracy of predicting the match --‘Dragon Gap’, ‘Level Gap’, ‘Blue Rift Heralds’, and ‘Tower Kills Gap,’ and ordinary users can also use the model to help develop game strategies by focusing on four elements. Furthermore, the model can be applied to predicting the match of E-sports professional leagues around the world and to the useful training indicators for professional teams, contributing to vitalization of E-sports.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"111 1","pages":"213-221"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86238598","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}
Pub Date : 2021-04-01DOI: 10.9708/JKSCI.2021.26.04.239
S. Jee
Due to the fourth industrial revolution and the Corona19, the availability of digital devices such as kiosks is a matter directly related to survival for older adults with digital divide. This paper analyzes the problems of existing information service education for older adults and proposes an IT education strategy tailored to aging and life cycle of older adults. The proposed in this study is an educational application-based IT training method that supports repetitive learning regardless of time and place, developing kiosk function as a functional game-type educational application and experimenting with post-training effectiveness. The research method proposed UI usability evaluation frame for older adults, and developed educational applications based on proposed evaluation frame, and conducted kiosk education. As a result of the experiment, the mission success rate after using the IT application was 80.6%, which is a 55.1%P improvement compared to the pre-use(25.5%). This study confirmed that the proposed education for older adults is a way to overcome the limitations of existing IT education in the current situation.
{"title":"Kiosk training strategies based on IT educational App for older adults","authors":"S. Jee","doi":"10.9708/JKSCI.2021.26.04.239","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.04.239","url":null,"abstract":"Due to the fourth industrial revolution and the Corona19, the availability of digital devices such as kiosks is a matter directly related to survival for older adults with digital divide. This paper analyzes the problems of existing information service education for older adults and proposes an IT education strategy tailored to aging and life cycle of older adults. The proposed in this study is an educational application-based IT training method that supports repetitive learning regardless of time and place, developing kiosk function as a functional game-type educational application and experimenting with post-training effectiveness. The research method proposed UI usability evaluation frame for older adults, and developed educational applications based on proposed evaluation frame, and conducted kiosk education. As a result of the experiment, the mission success rate after using the IT application was 80.6%, which is a 55.1%P improvement compared to the pre-use(25.5%). This study confirmed that the proposed education for older adults is a way to overcome the limitations of existing IT education in the current situation.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"30 1","pages":"239-245"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88952863","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}
Pub Date : 2021-04-01DOI: 10.9708/JKSCI.2021.26.04.047
Jong-Hyun Kim
In this paper, we propose a quadtree-based optimization technique that enables fast Super-resolution(SR) computation by efficiently classifying and dividing physics-based simulation data required to calculate SR. The proposed method reduces the time required for quadtree computation by downscaling the smoke simulation data used as input data. By binarizing the density of the smoke in this process, a quadtree is constructed while mitigating the problem of numerical loss of density in the downscaling process. The data used for training is the COCO 2017 Dataset, and the artificial neural network uses a VGG19-based network. In order to prevent data loss when passing through the convolutional layer, similar to the residual method, the output value of the previous layer is added and learned. In the case of smoke, the proposed method achieved a speed improvement of about 15 to 18 times compared to the previous approach.
{"title":"Multiple Binarization Quadtree Framework for Optimizing Deep Learning-Based Smoke Synthesis Method","authors":"Jong-Hyun Kim","doi":"10.9708/JKSCI.2021.26.04.047","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.04.047","url":null,"abstract":"In this paper, we propose a quadtree-based optimization technique that enables fast Super-resolution(SR) computation by efficiently classifying and dividing physics-based simulation data required to calculate SR. The proposed method reduces the time required for quadtree computation by downscaling the smoke simulation data used as input data. By binarizing the density of the smoke in this process, a quadtree is constructed while mitigating the problem of numerical loss of density in the downscaling process. The data used for training is the COCO 2017 Dataset, and the artificial neural network uses a VGG19-based network. In order to prevent data loss when passing through the convolutional layer, similar to the residual method, the output value of the previous layer is added and learned. In the case of smoke, the proposed method achieved a speed improvement of about 15 to 18 times compared to the previous approach.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"2 1","pages":"47-53"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91527591","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}
Pub Date : 2021-04-01DOI: 10.9708/JKSCI.2021.26.04.093
Tae-Ho Kim, Jong-in Lim
Despite the efforts of financial authorities in conducting the direct management and supervision of collection agents and bond-collecting guideline, the illegal and unfair collection of debts still exist. To effectively prevent such illegal and unfair debt collection activities, we need a method for strengthening the monitoring of illegal collection activities even with little manpower using technologies such as unstructured data machine learning. In this study, we propose a classification model for illegal debt collection that combine machine learning such as Support Vector Machine (SVM) with a rule-based technique that obtains the collection transcript of loan companies and converts them into text data to identify illegal activities. Moreover, the study also compares how accurate identification was made in accordance with the machine learning algorithm. The study shows that a case of using the combination of the rule-based illegal rules and machine learning for classification has higher accuracy than the classification model of the previous study that applied only machine learning. This study is the first attempt to classify illegalities by combining rule-based illegal detection rules with machine learning. If further research will be conducted to improve the model's completeness, it will greatly contribute in preventing consumer damage from illegal debt collection activities.
{"title":"A Classification Model for Illegal Debt Collection Using Rule and Machine Learning Based Methods","authors":"Tae-Ho Kim, Jong-in Lim","doi":"10.9708/JKSCI.2021.26.04.093","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.04.093","url":null,"abstract":"Despite the efforts of financial authorities in conducting the direct management and supervision of collection agents and bond-collecting guideline, the illegal and unfair collection of debts still exist. To effectively prevent such illegal and unfair debt collection activities, we need a method for strengthening the monitoring of illegal collection activities even with little manpower using technologies such as unstructured data machine learning. In this study, we propose a classification model for illegal debt collection that combine machine learning such as Support Vector Machine (SVM) with a rule-based technique that obtains the collection transcript of loan companies and converts them into text data to identify illegal activities. Moreover, the study also compares how accurate identification was made in accordance with the machine learning algorithm. The study shows that a case of using the combination of the rule-based illegal rules and machine learning for classification has higher accuracy than the classification model of the previous study that applied only machine learning. This study is the first attempt to classify illegalities by combining rule-based illegal detection rules with machine learning. If further research will be conducted to improve the model's completeness, it will greatly contribute in preventing consumer damage from illegal debt collection activities.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"79 1","pages":"93-103"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73267370","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}
Pub Date : 2021-04-01DOI: 10.9708/JKSCI.2021.26.04.133
Lee Jinwook
The purpose of this study was to examine the most suitable exercise for the elderly women by comparing the changes in body composition and physical function fitness after modern dance, aquarobic and combined exercise programs for the elderly women. The subjects of this study were 47 elderly women in J-do, chosen as MDG(n=13), AEG(n=11), CEG(n=11) and CG(n=12) for participated for 60 minutes/day and three times/wk for 12 weeks. The results of grip strength, chair stand, arm curl, 2 minute step, 244cm up and go was significantly than in the control group. Back scratch was decreased significantly after exercise only in the modern dance group and combined exercise group but there was no change in chair sit and reach. These results suggest that various exercises were found to play a positive role in maintaining and improving fitness for the elderly women. In addition, additional exercise programs are needed to improve flexibility and mobility of joints for the elderly. It is thought that it is important to voluntarily participate in a movement that suits your interests to make it sustainable.
{"title":"Comparison Study for Body Composition and Physical Function Fitness to the According of Exercise Type in Elderly Women","authors":"Lee Jinwook","doi":"10.9708/JKSCI.2021.26.04.133","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.04.133","url":null,"abstract":"The purpose of this study was to examine the most suitable exercise for the elderly women by comparing the changes in body composition and physical function fitness after modern dance, aquarobic and combined exercise programs for the elderly women. The subjects of this study were 47 elderly women in J-do, chosen as MDG(n=13), AEG(n=11), CEG(n=11) and CG(n=12) for participated for 60 minutes/day and three times/wk for 12 weeks. The results of grip strength, chair stand, arm curl, 2 minute step, 244cm up and go was significantly than in the control group. Back scratch was decreased significantly after exercise only in the modern dance group and combined exercise group but there was no change in chair sit and reach. These results suggest that various exercises were found to play a positive role in maintaining and improving fitness for the elderly women. In addition, additional exercise programs are needed to improve flexibility and mobility of joints for the elderly. It is thought that it is important to voluntarily participate in a movement that suits your interests to make it sustainable.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"56 1","pages":"133-142"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76023481","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}
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