• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.677-686
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• 2019

This study helps out-size consumers purchase ready-made clothes and improve fitness by classifying the lower bodies of abdomen-obese adult males in their 20s and older; in addition, it creates a size system based on each size interval of obesity type. The criteria for the 559 male subjects surveyed in this study were over $25kg/m^2$ of BMI, over 90 cm of waist, and over 0.85 waist hip ratio. The results are as follows. First, the higher the age group, the higher the degree of abdominal obesity in each age group. The degree of obesity then decreases somewhat as their age increases; however, the risk of abdominal obesity also increases. Second, 3 clusters were categorized by cluster analysis, into abdominal obesity, larger oval-type, trapezoid-type and small cylinder-type. Third, the size system establishment according to lower-body types resulted in basic body sizes and reference body sizes being different according to types even in commonly-appeared size names in the sections of respective types. The above research findings show it is necessary to understand obesity types according to waist and hip sizes that represent basic sizes and to design patterns in consideration of the characteristics of obese body shapes when lower-half body clothes are designed among obesity groups.

• Korean Journal of Artificial Intelligence
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• v.10 no.1
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• pp.1-7
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• 2022

In this paper, a study was conducted to predict natural disasters in Afghanistan based on machine learning. Natural disasters need to be prepared not only in Korea but also in other vulnerable countries. Every year in Afghanistan, natural disasters(snow, earthquake, drought, flood) cause property and casualties. We decided to conduct research on this phenomenon because we thought that the damage would be small if we were to prepare for it. The Azure Machine Learning Studio used in the study has the advantage of being more visible and easier to use than other Machine Learning tools. Decision Forest is a model for classifying into decision tree types. Decision forest enables intuitive analysis as a model that is easy to analyze results and presents key variables and separation criteria. Also, since it is a nonparametric model, it is free to assume (normality, independence, equal dispersion) required by the statistical model. Finally, linear/non-linear relationships can be searched considering interactions between variables. Therefore, the study used decision forest. The study found that overall accuracy was 89 percent and average accuracy was 97 percent. Although the results of the experiment showed a little high accuracy, items with low natural disaster frequency were less accurate due to lack of learning. By learning and complementing more data, overall accuracy can be improved, and damage can be reduced by predicting natural disasters.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1170-1178
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• 2022

Indoor POI data, an essential component of indoor spatial data, has attribute information of a specific place in the room and is the most critical information necessary for the user. Currently, indoor POI data is manually updated by direct investigation, which is expensive and time-consuming. Recently, research on updating POI using the attribute information of indoor photographs has been advanced to overcome these problems. However, the range of use, such as using only photographs with text information, is limited. Therefore, in this study, and to improvement this, I proposed a new method to update indoor POI data using a smartphone camera. In the proposed method, the POI name is obtained by classifying the indoor scene's photograph into artificial intelligence technology CNN and matching the location criteria to indoor spatial data through AR technology. As a result of creating and experimenting with a prototype application to evaluate the proposed method, it was possible to update POI data that reflects the real world with high accuracy. Therefore, the results of this study can be used as a complement or substitute for the existing methodologies that have been advanced mainly by direct research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.193-198
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• 2022

Recently, place that you need to check wearing mask and body temperature to prevent the proliferation of COVID-19 increased. But these things often measured by man manually or by machine one by one, result may be different by measuring ways, so it wastes workforce. Also, the machine generally just measures the highest temperature of the face, criteria for fever can't be trusted too. A bottleneck may occur due to crowding of people at the entrance, and because most of the measurement sites are at one entrance, it is inconvenient to track the movement of COVID-19 Confirmed cases. Thus, in this study, we intend to propose a method for suppressing the spread of infection by automatically classifying and displaying in real time using camera, thermal camera, Haar Cascade, and result selection algorithm.

• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.151-160
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• 2005

In case of public transit such as bus system, the probability concept is used to evaluate the Level-of-Service of the operations. And each levels could be classified according to the linear probability value. (TCQSM: Transit Capacity and Quality of Service Manual-2nd Edition, TRB, Washington DC., 2003) In this case, the drivers or passengers wouldn't think that the service level isn't equivalent to the linear probability value. Thus the linear probability value doesn't exactly reflect the service level. This study shows the problems of using the linear probability value in classifying the service level through the case of evaluation of bus operation's punctuality, presented in TCQSM. To make up for the problems of such case, two methodologies are presented in this study. The method of determining Level-of-Service criteria using probability density of headway variation's distribution, presented in this paper, adequately reflects passenger's expected waiting time. According to the application result to real bus operation data, it tis better than the method of TCQSM to evaluate the reliability of bus operations. However further research about the relations between utility difference and passenger feeling of service level in necessary to apply the method that uses the utility function. It remains as the limitation of this paper.

• Journal of Korean Elementary Science Education
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• v.36 no.2
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• pp.129-142
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• 2017

In this study, the characteristics of the reading materials in elementary school science textbooks developed under the 2009 revised National Science Curriculum were investigated. The criteria for classifying the reading materials were the types of topic, purpose, students' activity, and presentation. The visual images in the reading materials were also analyzed from the viewpoint of type, role, caption type, and proximity type. The results indicated that the number of the reading materials in the 2009 revised science textbooks decreased compared to that of the 2007 revised science textbooks. It was also found that the frequencies of the reading materials expanding concepts of the text and/or requiring corresponding students' inquiry increased. More visual images were used in the reading materials of the 2009 revised science textbooks. However, several limitations were still found to exist; most visual images were illustration and/or picture; many visual images were presented without a caption; there was a problem in the proximity of visual image to text.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.2
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• pp.329-337
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• 2013

Cyber threats of the ICS(Industrial Control System) has been researched on the level to the threat to the network service as well as a specific system, even if the extent of damage was not intended. Although some range of "security" just include the protection of systems against the deliberate attacks of terrorists or cyber hackers, often more damage is done by carelessness, and equipment failures than by those deliberate attacks. This paper presented a taxonomy for classifying all abnormal behaviors of ICS, including deliberate attacks, inadvertent mistakes, equipment failures, and software problems. The classification criteria of ICS abnormal behaviors was selected to highlight commonalities and important features of deliberate attacks as well as inadvertent actions.

• Korean Institute of Interior Design Journal
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• v.22 no.2
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• pp.39-47
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• 2013

The purpose of this study is to search for values and meanings of everydayness as a design concept by organizing concepts of 'everydayness' shown in contemporary architecture and systematically describing its characteristics through various analysis methods. 'Eerydayness' shown in contemporary architecture is defined and the criteria of case study are suggested, so that characteristics of everyday can be identified by systematically classifying and analyzing the Japanese cases in order to find the values and meanings of everydayness. The findings of this study are as follows: first, materials that show users' everydayness has indefinite potential as an element of architecture concept, and they play the role of communication and sympathy between architecture and users; second, implementation of everydayness leads to design emergence; third, everydayness can be widely applied to architecture; fourth, everydayness can be implemented regardless of architecture uses. In conclusion, the value of everydayness in contemporary architecture is that it draws user-based diverse and fresh architectural expressions that lead to opulent designs. To users, everydayness improves satisfaction of life gained from architecture and provides rich life environment because it changed common human life to a form of art.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.30 no.4
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• pp.145-152
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• 2019

Objectives: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective datadriven method for screening and diagnosing ASD, many studies have attempted to incorporate artificial intelligence (AI) technologies. Therefore, the purpose of this literature review is to summarize the studies that used AI in the assessment process and examine whether other behavioral data could potentially be used to distinguish ASD characteristics. Methods: Based on our search and exclusion criteria, we reviewed 13 studies. Results: To improve the accuracy of outcomes, AI algorithms have been used to identify items in assessment instruments that are most predictive of ASD. Creating a smaller subset and therefore reducing the lengthy evaluation process, studies have tested the efficiency of identifying individuals with ASD from those without. Other studies have examined the feasibility of using other behavioral observational features as potential supportive data. Conclusion: While previous studies have shown high accuracy, sensitivity, and specificity in classifying ASD and non-ASD individuals, there remain many challenges regarding feasibility in the real-world that need to be resolved before AI methods can be fully integrated into the healthcare system as clinical decision support systems.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.119-134
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• 2022

Purpose - The purpose of this study was to expound the packaging framework system(PFS) under international trade rules. Design/methodology/approach - This study analyzed packaging framework system and packaging regulations and technical standards in international regulations and major countries and classified these in some standards Findings - First, the study provides packaging provisions associated with packaging regulations and technical standards (PRTS). Then, the basis of PFS in international trade rules was proposed; it is believed that the PFS was composed of packaging legal system in WTO institutional framework (WTO-PLS), international organization packaging standard system (IO-PSS) and major countries or regions packaging regulatory system (MCR-PRS). Secondly, this paper expounded relations and legal characteristics of the three packaging systems. Finally, This study investigated PRTS coverage under technical barriers to trade (TBT) and Sanitary and Phytosanitary measures (SPS). Research implications or Originality - The regulations associated with PRTS have played a key role in challenges to merchandise trade in international trade. This study has significance in classifying packaging related reticulations into several criteria unlike previous studies. Therefore it is hope that this study can provide a supplementary document for the existing research of PRTS.