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Crime prediction research using AI has been actively conducted to predict potential crimes—generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, targets, and environmental factors affecting the crime’s occurrence, are considered simultaneously. Therefore, this study aims to categorize theft by performing k-modes clustering using crime-related characteristics as variables and to propose an ANN model that predicts the derived categorizations. As the prediction of theft types allows people to estimate the features of the possibly most frequent thefts in random areas in advance, it enables the efficient deployment of police and the most appropriate tactical measures. Dongjak District was selected as the target area for analysis; thefts in the district showed four types of clusters. Environmental factors, representative elements affecting theft occurrence, were used as input data for a prediction model, while the factors affecting each cluster were derived through multiple linear regression analysis. Based on the results, input variables were selected for the ANN model training per cluster, and the model was implemented to predict theft type based on environmental factors. This study is significant for providing diversity to prediction methods using ANN.
Eunseo Kwon; Sungwon Jung; Jaewook Lee. Artificial Neural Network Model Development to Predict Theft Types in Consideration of Environmental Factors. ISPRS International Journal of Geo-Information 2021, 10, 99 .
AMA StyleEunseo Kwon, Sungwon Jung, Jaewook Lee. Artificial Neural Network Model Development to Predict Theft Types in Consideration of Environmental Factors. ISPRS International Journal of Geo-Information. 2021; 10 (2):99.
Chicago/Turabian StyleEunseo Kwon; Sungwon Jung; Jaewook Lee. 2021. "Artificial Neural Network Model Development to Predict Theft Types in Consideration of Environmental Factors." ISPRS International Journal of Geo-Information 10, no. 2: 99.
To reduce CO2 emissions in the building sector, South Korea uses an operational rating system, an indicator for evaluating CO2 emission performance. To conduct a reasonable operational rating, it is necessary to develop a rational and reliable CO2 emission (CE) benchmark for buildings. The conventional CE benchmarks, however, have limitations accounting for regional differences of multi-family housing complexes (MFHCs). Thus, a separate CE benchmark is required for each region for improving the rationale and reliability of the conventional CE benchmarks. To solve this problem, a data-driven approach for establishing a CE benchmark using data mining techniques was applied in this study. Data on a total of 1,212 MFHCs were established, and a total of 11 CE benchmarks (central region: 7; southern region: 4) for MFHCs were established based on the decision tree. The developed CE benchmarks were then validated using statistical methods (Mann-Whitney test, Kruskal-Wallis test, etc.). Compared to the average operational rating based on conventional CE benchmarks, the average operational rating based on the newly developed CE benchmarks decreased by 1.85% in the central region, and increased by 5.19% in the southern region, respectively. This means that the unreliability and irrationality of the conventional operational rating system (ORS) can be solved by the established ORS. The established ORS, based on the newly developed CE benchmarks, can help policymakers select and manage MFHCs with poor CE performance.
Kwangbok Jeong; Taehoon Hong; Jimin Kim; Jaewook Lee. A data-driven approach for establishing a CO2 emission benchmark for a multi-family housing complex using data mining techniques. Renewable and Sustainable Energy Reviews 2020, 138, 110497 .
AMA StyleKwangbok Jeong, Taehoon Hong, Jimin Kim, Jaewook Lee. A data-driven approach for establishing a CO2 emission benchmark for a multi-family housing complex using data mining techniques. Renewable and Sustainable Energy Reviews. 2020; 138 ():110497.
Chicago/Turabian StyleKwangbok Jeong; Taehoon Hong; Jimin Kim; Jaewook Lee. 2020. "A data-driven approach for establishing a CO2 emission benchmark for a multi-family housing complex using data mining techniques." Renewable and Sustainable Energy Reviews 138, no. : 110497.
While the social sustainability of built environments is an essential aspect of architectural design education, systemic experiments still lack empirical pedagogy. Therefore, factors of social sustainability are hardly reflected in students’ projects seamlessly. To overcome such limitations, this study investigates the applicability and effectiveness of human behavior simulation. To ensure authentic architectural design, the projects were equipped with autonomous, rational anthropomorphic computer agents called virtual users (VUsers). This study compared the performance scores on social sustainability factors, assessed by the students who conducted design projects both before (without) and after (with) using the simulation. A one-way analysis of variance indicated that human behavior simulation promoted the performance of projects with respect to the parameters of accessibility and safety, ergonomic usability for heterogeneous users and supportability of social interactions. However, the simulation was not found to be effective in promoting the physical attractiveness of built environments and in ensuring the completeness of design solutions. Based on previous studies, the present study interpreted the reasons why the operability of VUsers and built environments, representations of emerging interactions of VUsers and whole-and-part analytics promoted explicit experimentation, but the factors of physical attractiveness and completeness were irrelevant to the rational examinations in the use of the simulation.
Seung Hong; Hwanjin Kim; Yongjun Song; Sung Yoon; Jaewook Lee. Effects of Human Behavior Simulation on Usability Factors of Social Sustainability in Architectural Design Education. Sustainability 2020, 12, 7111 .
AMA StyleSeung Hong, Hwanjin Kim, Yongjun Song, Sung Yoon, Jaewook Lee. Effects of Human Behavior Simulation on Usability Factors of Social Sustainability in Architectural Design Education. Sustainability. 2020; 12 (17):7111.
Chicago/Turabian StyleSeung Hong; Hwanjin Kim; Yongjun Song; Sung Yoon; Jaewook Lee. 2020. "Effects of Human Behavior Simulation on Usability Factors of Social Sustainability in Architectural Design Education." Sustainability 12, no. 17: 7111.
For design performance evaluation, this study proposes a novel method based on the theory of Pattern Language by Christopher Alexander. The proposed method evaluates the performance of designed spaces with three components: standard patterns, BIM model, and evaluation logic. The standard patterns are defined as optimal object configurations that can maximize the spatial performance, and quantitative evaluation is done by comparing the patterns extracted from the BIM model to the standard patterns. The evaluation logic includes 1) algorithm for extracting patterns from the BIM model, and 2) algorithm for computing performance scores with evaluation equations and weights. A prototype evaluation system was implemented to verify the method through a case study for apartment kitchen spaces. The result of the case study shows that the performance scores of the kitchen spaces computed by the prototype system were similar to those of human architects. The proposed method is expected to enable design practitioners to evaluate designed spaces and improve their performance by reflecting the corrections from the evaluation of original designs before the actual construction of the spaces.
Suncheol Na; Seung Wan Hong; Sungwon Jung; Jaewook Lee. Performance evaluation of building designs with BIM-based spatial patterns. Automation in Construction 2020, 118, 103290 .
AMA StyleSuncheol Na, Seung Wan Hong, Sungwon Jung, Jaewook Lee. Performance evaluation of building designs with BIM-based spatial patterns. Automation in Construction. 2020; 118 ():103290.
Chicago/Turabian StyleSuncheol Na; Seung Wan Hong; Sungwon Jung; Jaewook Lee. 2020. "Performance evaluation of building designs with BIM-based spatial patterns." Automation in Construction 118, no. : 103290.
The sustainable building materials and construction methods have been recently highlighted to reduce the environmental and human health impacts. The steel sump is regarded as a suitable alternative to the concrete sump as it has a lower economic impact, but further research on its environmental and human health impacts has yet to be conducted. Thus, this study conducted an integrated assessment of the environmental, human health, and economic impacts of the concrete and steel sumps using life cycle assessment. When the environmental, human health, and economic impacts are considered at the same time, the installation scenarios of the steel sump were superior to those of the concrete sump by 11.35–152.24%. Especially, SS-3 (i.e., installation scenarios #3 of steel sump) has 93.04 and 89.18% lower environmental and human health impacts, respectively, as well as an 81.47% lower construction cost compared to CS-3 (i.e., installation scenarios #3 of concrete sump). This is because the differences in the building material and the practical construction method used determine the environmental, human health, and economic impacts of the sump. The results will help designers or construction managers determine the installation scenario of the sump by considering its environmental, human health, and economic impacts.
Kwangbok Jeong; Changyoon Ji; Hyunjung Kim; Taehoon Hong; Kyuman Cho; Jaewook Lee. An integrated assessment of the environmental, human health, and economic impacts based on life cycle assessment: A case study of the concrete and steel sumps. Journal of Cleaner Production 2019, 239, 118032 .
AMA StyleKwangbok Jeong, Changyoon Ji, Hyunjung Kim, Taehoon Hong, Kyuman Cho, Jaewook Lee. An integrated assessment of the environmental, human health, and economic impacts based on life cycle assessment: A case study of the concrete and steel sumps. Journal of Cleaner Production. 2019; 239 ():118032.
Chicago/Turabian StyleKwangbok Jeong; Changyoon Ji; Hyunjung Kim; Taehoon Hong; Kyuman Cho; Jaewook Lee. 2019. "An integrated assessment of the environmental, human health, and economic impacts based on life cycle assessment: A case study of the concrete and steel sumps." Journal of Cleaner Production 239, no. : 118032.
The evaluation of building energy consumption is heavily based on building characteristics and thus often deviates from the true consumption. Consequently, user-based estimation of building energy consumption is necessary because the actual consumption is greatly affected by user characteristics and activities. This work aims to examine the variation in energy consumption as a function of user activities within the same building, and to employ an artificial neural network (ANN) to predict user-based energy consumption. The study exploited the actual 24-h schedules of 5240 single-person households and computed the respective energy consumption using EnergyPlus V 8.8.0 software. The calculated values were clustered according to gender, age, occupation, income, educational level, and occupancy period and the difference among them was analyzed. The simulation results showed that for single-person households in Korea, females used more energy than males did, and the difference increased with age. Furthermore, unemployed and low-income individuals consumed more energy whereas consumption was inversely proportional to the educational level. Energy consumption increased with the occupancy period. Based on the simulation results and six user characteristics, the ANN model indicated a correlation between user characteristics and energy usage. This study analyzed the differences in energy usage depending on user activity and characteristics that affect building energy consumption.
SeungHui Lee; Sungwon Jung; Jaewook Lee. Prediction Model Based on an Artificial Neural Network for User-Based Building Energy Consumption in South Korea. Energies 2019, 12, 608 .
AMA StyleSeungHui Lee, Sungwon Jung, Jaewook Lee. Prediction Model Based on an Artificial Neural Network for User-Based Building Energy Consumption in South Korea. Energies. 2019; 12 (4):608.
Chicago/Turabian StyleSeungHui Lee; Sungwon Jung; Jaewook Lee. 2019. "Prediction Model Based on an Artificial Neural Network for User-Based Building Energy Consumption in South Korea." Energies 12, no. 4: 608.
Seung-Hye Lee; Jaehong Lee; Sung-Won Jung. A Design Method of Tensegrity Units for Renovation Elements. Journal of The korean Association For Spatial Structures 2017, 17, 141 -148.
AMA StyleSeung-Hye Lee, Jaehong Lee, Sung-Won Jung. A Design Method of Tensegrity Units for Renovation Elements. Journal of The korean Association For Spatial Structures. 2017; 17 (4):141-148.
Chicago/Turabian StyleSeung-Hye Lee; Jaehong Lee; Sung-Won Jung. 2017. "A Design Method of Tensegrity Units for Renovation Elements." Journal of The korean Association For Spatial Structures 17, no. 4: 141-148.
Sangyun Shin; Sangah Jeong; Jaewook Lee; Seung Wan Hong; Sungwon Jung. Pre-Occupancy Evaluation based on user behavior prediction in 3D virtual simulation. Automation in Construction 2017, 74, 55 -65.
AMA StyleSangyun Shin, Sangah Jeong, Jaewook Lee, Seung Wan Hong, Sungwon Jung. Pre-Occupancy Evaluation based on user behavior prediction in 3D virtual simulation. Automation in Construction. 2017; 74 ():55-65.
Chicago/Turabian StyleSangyun Shin; Sangah Jeong; Jaewook Lee; Seung Wan Hong; Sungwon Jung. 2017. "Pre-Occupancy Evaluation based on user behavior prediction in 3D virtual simulation." Automation in Construction 74, no. : 55-65.
Yoonseok Hwang; Sungwon Jung; Jaewook Lee; Yongwook Jeong. Predicting residential burglaries based on building elements and offender behavior: Study of a row house area in Seoul, Korea. Computers, Environment and Urban Systems 2017, 61, 94 -107.
AMA StyleYoonseok Hwang, Sungwon Jung, Jaewook Lee, Yongwook Jeong. Predicting residential burglaries based on building elements and offender behavior: Study of a row house area in Seoul, Korea. Computers, Environment and Urban Systems. 2017; 61 ():94-107.
Chicago/Turabian StyleYoonseok Hwang; Sungwon Jung; Jaewook Lee; Yongwook Jeong. 2017. "Predicting residential burglaries based on building elements and offender behavior: Study of a row house area in Seoul, Korea." Computers, Environment and Urban Systems 61, no. : 94-107.
Jinkang Lim; Jaewook Lee; Seunghye Lee; Han Soo Kim; Sungwon Jung. Web-based Collaboration Systems for Structural Design: A Review. Journal of KIBIM 2015, 5, 37 -46.
AMA StyleJinkang Lim, Jaewook Lee, Seunghye Lee, Han Soo Kim, Sungwon Jung. Web-based Collaboration Systems for Structural Design: A Review. Journal of KIBIM. 2015; 5 (4):37-46.
Chicago/Turabian StyleJinkang Lim; Jaewook Lee; Seunghye Lee; Han Soo Kim; Sungwon Jung. 2015. "Web-based Collaboration Systems for Structural Design: A Review." Journal of KIBIM 5, no. 4: 37-46.
Minho Oh; Jaewook Lee; Seung Wan Hong; Yongwook Jeong. Integrated system for BIM-based collaborative design. Automation in Construction 2015, 58, 196 -206.
AMA StyleMinho Oh, Jaewook Lee, Seung Wan Hong, Yongwook Jeong. Integrated system for BIM-based collaborative design. Automation in Construction. 2015; 58 ():196-206.
Chicago/Turabian StyleMinho Oh; Jaewook Lee; Seung Wan Hong; Yongwook Jeong. 2015. "Integrated system for BIM-based collaborative design." Automation in Construction 58, no. : 196-206.
Pioneering psychology and co-design research has highlighted the potential that multi-user virtual environment (MUVE) may help architects’ exploratory creativity that is a recursive search to discover an optimal match of novel and appropriate solutions. However, it has been not reported hitherto in what ways MUVE helps or obstructs architects’ exploratory creativity in individual and collaborative modes of collaboration. To investigate this issue, we compared MUVE and sketching media in face-to-face and remote collaboration modes, involving 22 pairs of architecture major students. Based on interview and video-observation, we discovered that (1) in MUVE, anthropomorphic avatars, which other media do not have, enabled individual and collaborative explorations to discover unexpected affordances of new solutions, with evaluation on physical properties and layouts of solutions. In addition, (2) co-presence with collaborator’s avatars enabled inspiration on new ways of problem-solving and puzzle-making through shared design processes and events, with co-evaluation on social aspects of design solutions. (3) Co-presence in a shared environment also allowed mutual co-exploration that promotes emerging creative solutions, with co-modification on design errors. As barriers of MUVE, (4) avatar’s immersion caused inconvenient perception to explore large-scaled environments and track collaborators’ different experiences, but the barriers were not reported in remote collaboration.
Seung Wan Hong; Yongwook Jeong; Yehuda E. Kalay; Sungwon Jung; Jaewook Lee. Enablers and barriers of the multi-user virtual environment for exploratory creativity in architectural design collaboration. CoDesign 2015, 12, 151 -170.
AMA StyleSeung Wan Hong, Yongwook Jeong, Yehuda E. Kalay, Sungwon Jung, Jaewook Lee. Enablers and barriers of the multi-user virtual environment for exploratory creativity in architectural design collaboration. CoDesign. 2015; 12 (3):151-170.
Chicago/Turabian StyleSeung Wan Hong; Yongwook Jeong; Yehuda E. Kalay; Sungwon Jung; Jaewook Lee. 2015. "Enablers and barriers of the multi-user virtual environment for exploratory creativity in architectural design collaboration." CoDesign 12, no. 3: 151-170.
Multidisciplinary collaboration is an important aspect of modern engineering activities, arising from the growing complexity of artifacts whose design and construction require knowledge and skills that exceed the capacities of any one professional. However, current collaboration in the architecture, engineering, and construction industries often fails due to lack of shared understanding between different participants and limitations of their supporting tools. To achieve a high level of shared understanding, this study proposes a filter-mediated communication model. In the proposed model, participants retain their own data in the form most appropriate for their needs with domain-specific filters that transform the neutral representations into semantically rich ones, as needed by the participants. Conversely, the filters can translate semantically rich, domain-specific data into a neutral representation that can be accessed by other domain-specific filters. To validate the feasibility of the proposed model, we computationally implement the filter mechanism and apply it to a hypothetical test case. The result acknowledges that the filter mechanism can let the participants know ahead of time what will be the implications of their proposed actions, as seen from other participants’ points of view.
Jaewook Lee; Yongwook Jeong; Minho Oh; Seung Wan Hong. A Filter-Mediated Communication Model for Design Collaboration in Building Construction. The Scientific World Journal 2014, 2014, 1 -20.
AMA StyleJaewook Lee, Yongwook Jeong, Minho Oh, Seung Wan Hong. A Filter-Mediated Communication Model for Design Collaboration in Building Construction. The Scientific World Journal. 2014; 2014 ():1-20.
Chicago/Turabian StyleJaewook Lee; Yongwook Jeong; Minho Oh; Seung Wan Hong. 2014. "A Filter-Mediated Communication Model for Design Collaboration in Building Construction." The Scientific World Journal 2014, no. : 1-20.
Jaewook Lee; Yongwook Jeong. User-centric knowledge representations based on ontology for AEC design collaboration. Computer-Aided Design 2012, 44, 735 -748.
AMA StyleJaewook Lee, Yongwook Jeong. User-centric knowledge representations based on ontology for AEC design collaboration. Computer-Aided Design. 2012; 44 (8):735-748.
Chicago/Turabian StyleJaewook Lee; Yongwook Jeong. 2012. "User-centric knowledge representations based on ontology for AEC design collaboration." Computer-Aided Design 44, no. 8: 735-748.