• Journal of Industrial Convergence
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• v.20 no.6
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• pp.7-15
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• 2022

Recently, due to the development of AI and big data technologies following the advent of the era of the 4th Industrial Revolution, the emerging metaverse industry is emerging as a new business, and in particular, from this point of view, this paper analyzes the history of metaverse and the pros and cons of "Geppetto", which is the most popular in the Korean metaverse market, and aims to give an appropriate direction for future development based on this. In order to carry out this study, we first used SWOT analysis techniques as an initial enterprise analysis method to examine the strengths and weaknesses, opportunities and threat requirements, and derive the status of each factor. Based on the factors in each of the subsequent derivatives, we wanted to explore the TOWS development strategy and present significant implications based on this.

• The Korean Journal of Applied Statistics
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• v.35 no.5
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• pp.593-601
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• 2022

We call "fruad" the cases that are not frequently occurring but cause significant losses. Fraud detection is commonly encountered in various applications, including wafer production in the semiconductor industry. It is not trivial to directly extend the standard binary classification methods to the fraud detection context because the misclassification cost is much higher than the normal class. In this article, we propose the functional fraud detection support vector machine (F²DSVM) that extends the fraud detection support vector machine (FDSVM) to handle functional covariates. The proposed method seeks a classifier for a function predictor that achieves optimal performance while achieving the desired sensitivity level. F²DSVM, like the conventional SVM, has piece-wise linear solution paths, allowing us to develop an efficient algorithm to recover entire solution paths, resulting in significantly improved computational efficiency. Finally, we apply the proposed F²DSVM to the defective wafer detection problem and assess its potential applicability.

• Korean journal of applied entomology
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• v.61 no.2
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• pp.307-311
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• 2022

The genus Areotetes van Achterberg & Li, 2013 (Hymenoptera: Braconidae: Opiinae), which is endoparasitoid of mining or infesting of fruit dipterous larvae, have been reported for the first time in China. Currently, four species of the genus Areotetes have been known from the province Hunan and Fujian, China. In this study the genus Areotetes with Areotetes carinuliferus van Achterberg & Li, 2013 is reported for the first time from Korea. Material studied in the present study were collected by sweeping in Mt Gongchi, Eochungdo, Province Jeonbuk, Korea. Herein, diagnosis of genus, description, distribution, and diagnostic illustration of A. carinuliferus are provided. In addition, DNA barcode data of the partial gene of mitochondrial cytochorome c oxidase subunit I (COI) are included.

• Journal of the Korean Institute of Gas
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• v.26 no.4
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• pp.18-26
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• 2022

The Korean government is conducting heat-using equipment(industrial boiler) inspection in accordance with the Energy Use Rationalization Act because of the heat-using equipment(industrial boiler)'s risks such as explosion and fire, and safe use and management. This paper aimed to setup the safe and performance vulnerabilities from database based on the inspection results for heat-using equipment(industrial boiler). This study surveyed the inspection results of 1,249 heat-using equipment(industrial boiler) which were failed inspection of heat-using equipment(industrial boiler) from january 2016 to december 2020. And the analysis method is to inform safety and performance vulnerability categories of heat-using equipment(industrial boiler) by statistically analyzing the failure reasons of boiler type and inspection type which are high variance in failure rate. The safety and performance vulnerability categories was abbreviated into 18 cases. And each catagory's main reason for failure was suggested by additional analyzing the opinions of inspectors. This paper would be the basic source and the comprehensive information dealing with the safety and performance vulnerability of heat-using equipment(industrial boiler).

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.705-712
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• 2022

The pandemic over the past three years has brought drastic changes in our lives, and those changes are now becoming a natural part of our daily lives. Daily life and economic activities based on online, such as video conferencing, remote classes, telecommuting, and online streaming services, have become daily routines after Corona. And the result of rapid development of communication and graphic technology is the metaverse. Therefore, the purpose of this study is to study the possibility from the perspective of public design for the correct use of the metaverse space of local governments. To this end, in this study, big data analysis was performed on 'local government', 'public design', and 'metaverse'. As a result of this study, we should actively use metaverse with high topic and potential as a space for local governments' promotion or discussion as a means to restore the reliability of local governments and overcome negative perceptions. In addition, it is necessary to actively reflect public design in order to increase the public reliability of local governments' metaverse.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.7
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• pp.1274-1280
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• 2022

The resistance performance evaluation of general ships using computational fluid dynamics requires a lot of time and cost, and various methods are being studied to reduce the time and cost. Existing methods using main particulars or cross sections of ships have limitations in estimating resistance performance that is greatly dependent on the shape of the ship. In this paper, we propose a deep neural network model that can quickly predict the resistance performance of the hull surface by inputting the geometric information of the hullform mesh. The proposed deep neural network model based on Perceiver IO can immediately predict resistance performance, unlike computational fluid dynamics techniques that require calculation in each time step. It shows the result of estimating the resistance performance with an average error of less than 1% in the data set for a 50 K tanker ship, a type of low-speed full ship.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.109-109
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• 2023

지구 온난화 등 기상이변으로 추정되는 단시간 동안 특정지역에 집중되는 국지성 집중호우가 빈번해지고 있으며, 내수침수가 홍수재해의 주된 원인이 되고 있다. 내수침수의 원인으로는 하수관로의 통수능력 부족(39%), 저지대 침수(37%), 내수배제불량(16%) 및 기타(8%)로 조사된 바 있으며, 이중 하수관로의 경우 용량 및 통수능 부족, 구배불량, 토사퇴적에 의한 배수 불량 등으로 이에 대처하기 위해서는 기초자료의 조사가 우선 되어야 한다. 하수관로의 문제로 인한 내수침수의 원인으로 첫째 하수관로 내·외부 불량으로 인한 통수능 저하로 측구 및 빗물받이에 토사 등 장애물, 관로내부 장애물, 관로내부 불량(뿌리침임, 영구장애물, 관붕괴, 관파손, 관변형, 내피생성, 토사퇴적 등)이 있으며, 두 번째로 하수관로 구배불량과 마지막으로 외수위(또는 해수위) 상승으로 인한 내수침수로 구분될 수 있다. 이러한 하수관로의 문제점은 많은 부분이 불탐지역으로 조사가 매우 어려워서 대안 없이 방치되는 실정이다. 금회 연구에서는 이러한 불탐지역의 조사를 위한 장비의 개발 및 정밀조사를 통해서 하수관로를 진단하고 내수침수 예방을 위한 대책을 찾고자 하였다. 특히, 계단부 관로조사용 내시경 VR장비, 준만관 조사용 부유식 VR장비, 가스 및 안전위험 지역 조사용 지하 드론 장비를 개발하여 시험검증을 하고자 하였다. 또한, 스마트 하수관로 체계에 빅데이터를 기반으로 한 하수관로 토탈 솔류션(nPASS) 시스템으로 내수침수대응 및 하수관로 유지관리를 위한 시스템의 필요성을 규명하고자 하였다. 하수관로의 선진화를 통한 내수침수예방의 시작은 불탐지역 하수관로 조사를 통한 정확한 원인 파악이며, 조사 및 축적되는 빅데이타를 기반으로 하수관로 토탈 유지관리 시스템의 구축을 제안하고자 하였다.

• 한국벤처창업학회:학술대회논문집
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• 2022.11a
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• pp.95-104
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• 2022

근래 지구온난화에 따른 자연재해의 증가와 장기 코로나19의 전염으로 사회적 비대면 필요성이 증대되면서 온라인을 통한 건강관리 및 의료 진단·처방 등 디지털 헬스케어의 필요성이 증대되고 있다. 디지털 헬스케어로 기존 병원 진료의 온라인 원격 진료/처방이 지속 증가하고 있을 뿐만 아니라 관련 빅데이터를 모아 개인 건강과 질병 상태 정보를 취합하여 건강 관리 및 치료를 하는 디지털 치료제 개발이 급속 진행되고 있으며 관련 벤처 창업도 활발히 진행되고 있다. 이러한 디지털 헬스케어, 디지털 치료제 산업의 활성화는 각 개인의 신체 상태를 상시 측정하고 이 정보를 관련 시스템과 연동 할 수 있는 웨어러블 디바이스, 특히 스마트워치의 보급 증대에 힘입은 바가 크다. 본 연구에서는 스마트워치의 기술혁신이 디지털 헬스케어의 수용성에 어떻게 영향을 미치는지 확장된 통합기술수용모델을 적용하여 분석하고, 혁신 사례로 스마트워치를 활용한 디지털 수면 치료제 벤처 개발 현황을 제시하였다. 본 연구를 통해 확인한 결과는 다음과 같다. 첫째 디지털 헬스케어 스마트워치의 개인혁신성, 효용가치, 사용편의 등 ICT 변인들에 대한 기술발전의 매개 영향은 유의한 것으로 나타났다. 둘째 ICT 변인들과 기술발전 매개변수는 디지털 헬스케에 스마트워치 수용의도에 대부분 정(+)의 영향을 미치는 것으로 확인되었다. 단 기술발전은 개인혁신성에는 크게 매개하지 않는 것으로 나타났다. 이러한 혁신기술의 디지털 헬스케어 스마트워치 수용의도 영향 평가 결과는 스마트워치 각종 서비스 상품기획과 마케팅에 유효하게 참조 할 수 있을 것으로 보이며 추후 세분화 연구를 통하여 더욱 소비자 특화된 제품과 서비스를 창출하는데 기여 할 수 있을 것으로 사료 된다.

• Journal of the Korean Geotechnical Society
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• v.26 no.2
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• pp.33-43
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• 2010

Geothermal energy is gaining wide attention as a highly efficient renewable energy and being increasingly used for heating/cooling systems of buildings. The standing column well (SCW) is especially efficient, cost-effective, and suitable for Korean geological and hydrological conditions. However, a numerical model that simulates the SCW has not yet been developed and applied in Korea. This paper describes the development of the SCW numerical model using a finite-volume analysis program. The model, through hydro-thermal coupled analyses, simulates heat transfer through advection, convection, and conduction. The accuracy of the model was verified through comparisons with field data measured at SCWs in the U.S. and Korea. Comparisons indicated that the SCW numerical model can closely predict the performance of a SCW. The numerical model was used to perform a comprehensive parametric study in the companion paper.

• Composites Research
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• v.20 no.3
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• pp.43-49
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• 2007

Dynamic instability of rotating disks is the most significant factor to limit its rotating speed. Application of composite materials to rotating disks may enhance the dynamic stability leading to a possible design of rotating disks with lightweight and high speed. Whereas much work has been done on the effect of transverse shear and rotary inertia, called Timoshenko effect, on the dynamic behavior of plates, there is little work on the correlation between the effect and the rotation of disk, especially nothing in case of composite disks. The dynamic equations of a rotating composite disk are formulated with the Timoshenko effect and the vibrational analysis is performed by using a commercial package MSC/NASTRAN. According to the results, the Timoshenko effect goes seesaw in some modes, unlike the well-known fact that the effect decreases as the rotating speed increases. And it can be concluded, based only on the present results, that decrement of the Timoshenko effect by disk rotation grows larger as the thickness ratio decreases, the diameter ratio increases, the modulus ratio increases, and the mode number increases.