Pub Date : 2021-02-01DOI: 10.9708/JKSCI.2021.26.02.001
Ki Yung Ahn
[Abstract] In this paper
【摘要】本文
{"title":"Deterministic Parallelism for Symbolic Execution Programs based on a Name-Freshness Monad Library","authors":"Ki Yung Ahn","doi":"10.9708/JKSCI.2021.26.02.001","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.02.001","url":null,"abstract":"[Abstract] In this paper","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"53 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81236109","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.01.155
Ha Seok Wun, Park Myeong Chul
{"title":"Improvement of Processing Speed for UAV Attitude Information Estimation Using ROI and Parallel Processing","authors":"Ha Seok Wun, Park Myeong Chul","doi":"10.9708/JKSCI.2021.26.01.155","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.155","url":null,"abstract":"","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"90 1","pages":"155-161"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80333041","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.08.127
Jae-min Lee
{"title":"A Research on Paramedic Student Type of Perception for 119 Rescue Workers","authors":"Jae-min Lee","doi":"10.9708/JKSCI.2021.26.08.127","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.08.127","url":null,"abstract":"","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"12 1","pages":"127-137"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83314731","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.01.209
Kim Yu Jeong
[Abstract] In this paper
【摘要】本文
{"title":"Development and application of Scenario-based Admission Management VR contents for nursing students","authors":"Kim Yu Jeong","doi":"10.9708/JKSCI.2021.26.01.209","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.209","url":null,"abstract":"[Abstract] In this paper","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"7 1","pages":"209-216"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83414935","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.01.077
Jin-Hyun Yoon, Byong-Kwon Lee, Byung-Wan Kim
Today, the restoration of cultural properties is done by applying the latest IT technology from relying on existing data and experts. However, there are cases where new data are released and the original restoration is incorrect. Also, sometimes it takes too long to restore. And there is a possibility that the results will be different than expected. Therefore, we aim to quickly restore cultural properties using DeepLearning. Recently, so the algorithm DcGAN made in GANs algorithm, and image creation, restoring sectors are constantly evolving. We try to find the optimal GAN algorithm for the restoration of cultural properties among various GAN algorithms. Because the GAN algorithm is used in various fields. In the field of restoring cultural properties, it will show that it can be applied in practice by obtaining meaningful results. As a result of experimenting with the DCGAN and Style GAN algorithms among the GAN algorithms, it was confirmed that the DCGAN algorithm generates a top image with a low resolution.
{"title":"A Study on GAN Algorithm for Restoration of Cultural Property (pagoda)","authors":"Jin-Hyun Yoon, Byong-Kwon Lee, Byung-Wan Kim","doi":"10.9708/JKSCI.2021.26.01.077","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.077","url":null,"abstract":"Today, the restoration of cultural properties is done by applying the latest IT technology from relying on existing data and experts. However, there are cases where new data are released and the original restoration is incorrect. Also, sometimes it takes too long to restore. And there is a possibility that the results will be different than expected. Therefore, we aim to quickly restore cultural properties using DeepLearning. Recently, so the algorithm DcGAN made in GANs algorithm, and image creation, restoring sectors are constantly evolving. We try to find the optimal GAN algorithm for the restoration of cultural properties among various GAN algorithms. Because the GAN algorithm is used in various fields. In the field of restoring cultural properties, it will show that it can be applied in practice by obtaining meaningful results. As a result of experimenting with the DCGAN and Style GAN algorithms among the GAN algorithms, it was confirmed that the DCGAN algorithm generates a top image with a low resolution.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"86 1","pages":"77-84"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78157298","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.01.019
JunOh Kim, Lee Byong Kwon
[Abstract] Cultural assets excavated in historical areas have their own characteristics based on the background of the times, and it can be seen that their patterns and characteristics change little by little according to the history and the flow of the spreading area. Cultural properties excavated in some areas represent the culture of the time and some maintain their intact appearance
{"title":"A research on the possibility of restoring cultural assets of artificial intelligence through the application of artificial neural networks to roof tile(Wadang)","authors":"JunOh Kim, Lee Byong Kwon","doi":"10.9708/JKSCI.2021.26.01.019","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.019","url":null,"abstract":"[Abstract] Cultural assets excavated in historical areas have their own characteristics based on the background of the times, and it can be seen that their patterns and characteristics change little by little according to the history and the flow of the spreading area. Cultural properties excavated in some areas represent the culture of the time and some maintain their intact appearance","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"8 1","pages":"19-26"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81539097","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.01.217
Park Seung Bae, Hong Jaewon
{"title":"The Effects of Digital Consumption Trust and Corporate Trust on IT Device and Service Satisfaction","authors":"Park Seung Bae, Hong Jaewon","doi":"10.9708/JKSCI.2021.26.01.217","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.217","url":null,"abstract":"","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"26 1","pages":"217-222"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87140384","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.01.265
Lee Yunju, Lee, Jaejun, Ahn, Hyunchul
[Abstract] In this paper, we propose a novel recommendation model based on Doc2vec using search keywords and product details. Until now, a lot of prior studies on recommender systems have proposed collaborative filtering (CF) as the main algorithm for recommendation, which uses only structured input data such as customers’ purchase history or ratings. However, the use of unstructured data like online customer review in CF may lead to better recommendation. Under this background, we propose to use search keyword data and product detail information, which are seldom used in previous studies, for product recommendation. The proposed model makes recommendation by using CF which simultaneously considers ratings, search keywords and detailed information of the products purchased by customers. To extract quantitative patterns from these unstructured data, Doc2vec is applied. As a result of the experiment, the proposed model was found to outperform the conventional recommendation model. In addition, it was confirmed that search keywords and product details had a significant effect on recommendation. This study has academic significance in that it tries to apply the customers' online behavior information to the recommendation system and that it mitigates the cold start problem, which is one of the critical limitations of CF.
{"title":"Improvement of a Product Recommendation Model using Customers' Search Patterns and Product Details","authors":"Lee Yunju, Lee, Jaejun, Ahn, Hyunchul","doi":"10.9708/JKSCI.2021.26.01.265","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.265","url":null,"abstract":"[Abstract] In this paper, we propose a novel recommendation model based on Doc2vec using search keywords and product details. Until now, a lot of prior studies on recommender systems have proposed collaborative filtering (CF) as the main algorithm for recommendation, which uses only structured input data such as customers’ purchase history or ratings. However, the use of unstructured data like online customer review in CF may lead to better recommendation. Under this background, we propose to use search keyword data and product detail information, which are seldom used in previous studies, for product recommendation. The proposed model makes recommendation by using CF which simultaneously considers ratings, search keywords and detailed information of the products purchased by customers. To extract quantitative patterns from these unstructured data, Doc2vec is applied. As a result of the experiment, the proposed model was found to outperform the conventional recommendation model. In addition, it was confirmed that search keywords and product details had a significant effect on recommendation. This study has academic significance in that it tries to apply the customers' online behavior information to the recommendation system and that it mitigates the cold start problem, which is one of the critical limitations of CF.","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"9 1","pages":"265-274"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87727638","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.01.275
R. Wang
[Abstract] The purpose of this research is to explore what factors affect consumers' purchasing decisions when purchasing artificial intelligence artworks. The research pointed out that in the real shopping model, customer perceived value includes three dimensions: product perceived value, service perceived value and social perceived value. On this basis, an artificial intelligence work purchase decision-making influence model was constructed
{"title":"A Study on the Impact of Perceived Value of Art Based on Artificial Intelligence on Consumers' Purchase Intention","authors":"R. Wang","doi":"10.9708/JKSCI.2021.26.01.275","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.275","url":null,"abstract":"[Abstract] The purpose of this research is to explore what factors affect consumers' purchasing decisions when purchasing artificial intelligence artworks. The research pointed out that in the real shopping model, customer perceived value includes three dimensions: product perceived value, service perceived value and social perceived value. On this basis, an artificial intelligence work purchase decision-making influence model was constructed","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"75 1","pages":"275-281"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74478359","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 : 2021-01-01DOI: 10.9708/JKSCI.2021.26.05.001
Jaeyong Kang, Jeonghwan Gwak
{"title":"Adaptive Face Mask Detection System based on Scene Complexity Analysis","authors":"Jaeyong Kang, Jeonghwan Gwak","doi":"10.9708/JKSCI.2021.26.05.001","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.05.001","url":null,"abstract":"","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"3 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72819315","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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