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Korean Journal of Computational Design and Engineering最新文献

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A Study on Automated Code Checking for Design Suitability of External Elements of Architectural Design Based on open BIM 基于开放式BIM的建筑设计外部要素设计适宜性自动代码检查研究
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.200
Jiyoung Kim, Sohyun Park, Chanwon Jo
{"title":"A Study on Automated Code Checking for Design Suitability of External Elements of Architectural Design Based on open BIM","authors":"Jiyoung Kim, Sohyun Park, Chanwon Jo","doi":"10.7315/cde.2023.200","DOIUrl":"https://doi.org/10.7315/cde.2023.200","url":null,"abstract":"Architectural design needs to go through design reviews such as laws and certifications, but errors and omissions can occur due to the large number of design books. As a solution to this, a BIM-based \"design suitability automatic review study\" is being conducted. In this process, the IFC object must be extracted independently, but unlike the internal elements of the building, the external elements of the building do not have individual IFC entities. In this study, we propose a method for distinguishing external elements of buildings for automatic review of design suitability based on BIM. External architectural elements that need to be reviewed were derived, and an object classification method was proposed using IFC Entity and a classification system. In addition, an automatic review flow chart was created to verify whether the object was classified. If the BIM-based architectural external elements proposed in this study are distinguished, it will be helpful for the development of design suitability research.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"9 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":"136277360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Case Study on applying Deep Learning Methods to Predict Vehicle DTC Faults 应用深度学习方法预测汽车DTC故障的案例研究
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.335
Hansom Kim, Saeyan Eom, Seonghyun Jeon, Seungbum Ha, Sewoong Jung, Beomkyu Park, Hong-Bae Jun
{"title":"A Case Study on applying Deep Learning Methods to Predict Vehicle DTC Faults","authors":"Hansom Kim, Saeyan Eom, Seonghyun Jeon, Seungbum Ha, Sewoong Jung, Beomkyu Park, Hong-Bae Jun","doi":"10.7315/cde.2023.335","DOIUrl":"https://doi.org/10.7315/cde.2023.335","url":null,"abstract":"","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"42 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":"136271520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Building Metaverse for Education of Virtually Unified Korean Peninsula using Roblox 利用Roblox构建虚拟统一朝鲜半岛教育的虚拟世界
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.302
Yoonjung Cho, Jungyub Woo, Inho Song, SangSu Choi
{"title":"Building Metaverse for Education of Virtually Unified Korean Peninsula using Roblox","authors":"Yoonjung Cho, Jungyub Woo, Inho Song, SangSu Choi","doi":"10.7315/cde.2023.302","DOIUrl":"https://doi.org/10.7315/cde.2023.302","url":null,"abstract":"The metaverse is a familiar concept to the PC and smartphone generations that enables users to engage in various activities such as games and shopping in 3D-based internet spaces. If the metaverse is used for education, users’ interest can be increased by direct experience through interaction. This paper introduces a metaverse of a virtually unified Korean peninsula using the metaverse platform Roblox. The metaverse conveys information and culture about North Korea in an easy and fun way. Based on the test results of actual users, this paper analyzes the effects of unification education using the metaverse and discusses the pros and cons of Roblox. While interest in unification is gradually declining in South Korea, unification education using the metaverse is expected to increase public interest.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"48 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":"136271525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SwinResNet: Volumetric Medical Image Segmentation by Fusing Swin Transformer and ResNet SwinResNet:融合Swin变压器和ResNet的体积医学图像分割
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.282
Sung-Ho Choi, Kyeong-Beom Park, Jae-Yeol Lee
{"title":"SwinResNet: Volumetric Medical Image Segmentation by Fusing Swin Transformer and ResNet","authors":"Sung-Ho Choi, Kyeong-Beom Park, Jae-Yeol Lee","doi":"10.7315/cde.2023.282","DOIUrl":"https://doi.org/10.7315/cde.2023.282","url":null,"abstract":"Volumetric medical image segmentation is critical in diagnosing diseases and planning subsequent treatment. The convolutional neural network (CNN)-based U-Net was proposed for conducting accurate and robust medical image segmentation since the skip connection of U-Net and deep feature representation significantly improved its performance. However, since CNN-based models mainly focus on local and low-level features, they cannot extract global and high-level features effectively. Meanwhile, the Vision Transformer developed in natural language processing is proposed to improve image classification performance by splitting an input image into patches and conducting linear embeddings of the patches, which can extract global features. However, the Vision Transformer has difficulty in handling detailed and low-level features. This study proposes SwinResNet which can effectively conduct volumetric medical image segmentation by fusing the Swin Transformer and CNN models. The combination can take advantage of both models and complement each other. Swin Transformer and ResNet are used as encoders, and the receptive field blocks and aggregation modules are applied to the multi-level features extracted from both encoders. Comprehensive evaluation shows that the proposed approach outperforms well-known previous studies.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"24 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":"136271521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Study on High Pressure Die-Casting Defect Prediction Deep Learning Algorithm for Porosity Defect Detection based on Process Parameters and Thermal Image 基于工艺参数和热图像的高压压铸缺陷预测深度学习算法研究
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.222
Jaeseon Kim, Chunwoo Park, Wonseok Park, Yeonghyeon Park, Changhyeon Cho, Dongju Kim
{"title":"A Study on High Pressure Die-Casting Defect Prediction Deep Learning Algorithm for Porosity Defect Detection based on Process Parameters and Thermal Image","authors":"Jaeseon Kim, Chunwoo Park, Wonseok Park, Yeonghyeon Park, Changhyeon Cho, Dongju Kim","doi":"10.7315/cde.2023.222","DOIUrl":"https://doi.org/10.7315/cde.2023.222","url":null,"abstract":"Existing analysis methods have limitations in identifying the exact cause of defects because several variables cause defects in a complex manner in the high-pressure die-casting process. However, as data processing speeds increase and analysis technologies advance, research activities are progressing on techniques to analyze complex manufacturing processes. In this study, numerical and image data were collected for the main variables that cause porosity defects in the die-casting process. Based on this, we intend to design a failure prediction algorithm using the HP-GAN(Hypothesis Pruning Generative Adversarial Network) algorithm and verify the algorithm. The HP-GAN algorithm is a combination of CNN(Convolutional Neural Network) and GAN algorithms. The raw data used in HP-GAN are line data derived from the die-casting equipment PLC and thermal images taken before and after spraying on the mold work surface through a thermal imaging camera. data, porosity defect data. To strengthen the algorithm, we used the Mean Squared Error (MSE) formula and the Gradient Decent Algorithm (GDA) to modify the weights of the algorithm to increase the prediction accuracy.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"42 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":"136271522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Graph Database Application Method for Automatic Review of Open BIM-based Design Suitability 基于开放bim的设计适用性自动评审图库应用方法
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.178
Sohyun Park, Chanwon Jo
{"title":"Graph Database Application Method for Automatic Review of Open BIM-based Design Suitability","authors":"Sohyun Park, Chanwon Jo","doi":"10.7315/cde.2023.178","DOIUrl":"https://doi.org/10.7315/cde.2023.178","url":null,"abstract":"This study derives items for BIM utilization in order to automatically review the design suitability of the open BIM model built in the detailed design stage, and proposes the possibility by applying it to the graph database. In order to derive design suitability items, among the items of the Universal Design Guidelines published by Seoul City and Gyeonggi-do, items applicable to BIM were analyzed and classified. The method of this study established the design constructability concept, derived items to apply it, and sought ways to connect and utilize BIM through the graph database. Among the universal design guideline items, research was conducted focusing on the architectural field, items were investigated and analyzed, items applicable to BIM were extracted, the applicability of the graph database was assessed, and a rule set was established to build a prototype. Through this, it contributes to the improvement of design quality and productivity, and proposes a research method for the introduction of artificial intelligence in the field of architectural design as a basic study of reasoning methodology using BIM data.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"49 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":"136277359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Impact Sound According to Changes of Golf Driver Face Thickness 高尔夫球杆面厚度变化对冲击声的影响分析
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.232
Young-Jin Son, Jae-Sung Kim, Dae-Gi Kim, Kyung-Ae Kang
{"title":"Analysis of Impact Sound According to Changes of Golf Driver Face Thickness","authors":"Young-Jin Son, Jae-Sung Kim, Dae-Gi Kim, Kyung-Ae Kang","doi":"10.7315/cde.2023.232","DOIUrl":"https://doi.org/10.7315/cde.2023.232","url":null,"abstract":"In this study, the characteristics of the impact sound according to the thickness change of the golf driver face were analyzed using dynamic analysis. A total of six cases with different thicknesses were selected based on the 3.2 mm face thickness of titanium material, and analysis conditions were set by referring to various experimental conditions. The acceleration data derived through Ansys motion solver was analyzed, and it was converted into sound pressure data using the RI equation to analyze the decibels and frequency values for each case generated at the time of swing. The results, As the driver face thickness increased, the frequency value increased, while the decibel decreased. Research model generated 2,700 Hz to 3,100 Hz and it was confirmed to be within the range of 2,500 Hz to 3,800 Hz. So this research method was analyzed to be appropriate.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","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":"136271528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection of the River Water Surface Through the Spatio-temporal Image Analysis on a Live Video and the Generation of Simulated Environment 基于实时视频的时空图像分析与模拟环境生成的河流水面检测
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.294
Yeong-Gyun Kim, Kang Park
{"title":"Detection of the River Water Surface Through the Spatio-temporal Image Analysis on a Live Video and the Generation of Simulated Environment","authors":"Yeong-Gyun Kim, Kang Park","doi":"10.7315/cde.2023.294","DOIUrl":"https://doi.org/10.7315/cde.2023.294","url":null,"abstract":"In this study, we propose a method of detecting the water surface through spatio-temporal image analysis and verifying it through simulation. The water surface detection algorithm utilizes computer vision to detect the intensity changes in the water surface and non-water surface on a video stream. By calculating the standard deviation of the changes in image intensity, the water surface can be detected since its standard deviation is usually greater than those of the nonwater surfaces (non-water areas) which are usually fixed objects or buildings. The water surface detection algorithm was successfully developed, and it accurately extracts the water surface area. A simulation environment was built to verify the water surface detection algorithm. The real river environment and the motion of the water surface were simulated using the Unreal TM engine by setting various physical conditions. This verified the algorithm for long-term changes that are difficult to observe in a real environment.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"49 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":"136271532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Research on the Generation of BIM Data Requirement Property Information for Green Building Certification 绿色建筑认证BIM数据需求属性信息生成研究
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.212
Eunsang Yu, Younghan Ahn, Jungsik Choi
{"title":"A Research on the Generation of BIM Data Requirement Property Information for Green Building Certification","authors":"Eunsang Yu, Younghan Ahn, Jungsik Choi","doi":"10.7315/cde.2023.212","DOIUrl":"https://doi.org/10.7315/cde.2023.212","url":null,"abstract":"Interest in the environment is increasing worldwide. Green building, sustainable architecture, and the natural environment have been considered in the architectural field, and green architecture certification is steadily improving and expanding the scope of evaluation. And as digitalization technology is developing in the construction industry, green building certification also needs to be changed according to industrial technology. However, design certification evaluation is underway using existing 2D data. Therefore, this study used the improvement of green building certification evaluation and architectural digitization technology to improve from the existing 2Dbased green building certification method using BIM data with architectural information and evaluate it using digital data. A method of extracting and generating attribute information so that the required information for green building certification can be used from BIM data was studied. If green building certification evaluation is possible based on BIM, efficient and accurate evaluation will be possible during the evaluation process.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"15 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":"136271523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimized Assignment of Workers Considering Process Difficulty and Worker’s Differences Using Shop Floor Data 考虑工艺难度和工人差异的车间数据优化工人分配
Korean Journal of Computational Design and Engineering Pub Date : 2023-09-30 DOI: 10.7315/cde.2023.165
Jongpil Yun, Goo-Young Kim, Changha Lee, Mahdi Sajadieh, Sangdo Noh
{"title":"Optimized Assignment of Workers Considering Process Difficulty and Worker’s Differences Using Shop Floor Data","authors":"Jongpil Yun, Goo-Young Kim, Changha Lee, Mahdi Sajadieh, Sangdo Noh","doi":"10.7315/cde.2023.165","DOIUrl":"https://doi.org/10.7315/cde.2023.165","url":null,"abstract":"The assembly process consists of various manual tasks and each worker has a different performance level. Because of this, it is necessary to appropriately allocate tasks and workloads for workers. This will increase productivity and work efficiency. Therefore, it is necessary to assign workers different tasks after analyzing process intensity and individual worker differences. This paper presents a worker performance evaluation after measuring worker’s expertise and perceived physical effort for each task. Through the assignment algorithm developed, it can solve exceptional cases and optimize assignment. To validate the proposed methodology, research on domestic company S will be conducted to see if production and work efficiency can be increased after considering of process intensity and worker differences.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"72 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":"136271530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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