• 융합정보논문지
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• 제12권4호
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• pp.270-277
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• 2022

전세계적으로 서비스산업의 진전이 본격화되는 가운데 글로벌 무역에서 서비스가 차지하는 위상과 비중 역시 점차 높아지고 있다. 안정적이고 공정한 국제무역은 견고한 국제통상규범 위에 실현 가능한바 GATS 출범 이후 정체기에 있던 서비스무역규범에 관한 다자간 논의가 최근 상당한 성과를 보이고 있다. 서비스무역규범의 주요 이슈는 결국 서비스 자유무역에 영향을 미치는 회원국들의 다양한 서비스무역장벽이다. 최근 타결된 WTO의 「서비스 국내규제에 관한 복수국간 협상」은 면허, 자격요건, 기술표준 등 서비스무역과 관련된 개별국 차원의 국내 조치가 무역장벽이 되지 않도록 통일된 규범을 마련했다는데 의의가 있다. 이에 본고는 서비스무역규범의 적용 대상인 서비스무역장벽의 형태와 실태를 검토하고, 이를 완화하기 위한 노력으로써 최근까지의 다자간 서비스무역규범 논의 동향의 고찰을 통해 앞으로 지속적인 논의가 나아가야 할 방향을 제시하고자 하였다.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.103-114
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• 2022

The Internet of Things (IoT) is one of the fastest technologies that are used in various applications and fields. The concept of IoT will not only be limited to the fields of scientific and technical life but will also gradually spread to become an essential part of our daily life and routine. Before, IoT was a complex term unknown to many, but soon it will become something common. IoT is a natural and indispensable routine in which smart devices and sensors are connected wirelessly or wired over the Internet to exchange and process data. With all the benefits and advantages offered by the IoT, it does not face many security and privacy challenges because the current traditional security protocols are not suitable for IoT technologies. In this paper, we presented a comprehensive survey of the latest studies from 2018 to 2021 related to the security of the IoT and the use of machine learning (ML) and deep learning and their applications in addressing security and privacy in the IoT. A description was initially presented, followed by a comprehensive overview of the IoT and its applications and the basic important safety requirements of confidentiality, integrity, and availability and its application in the IoT. Then we reviewed the attacks and challenges facing the IoT. We also focused on ML and its applications in addressing the security problem on the IoT.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.409-416
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• 2009

This paper presents a tool called Quality-Cost optimization system (QCOS), which integrates Multi-Objective Genetic Algorithm (MOGA) and Quality Function Deployment (QFD), for tradeoff between quality and cost of the unitized metal curtain-wall unit. A construction owner as the external customer pursues to maximize the quality of the curtain-wall unit. However, the contractor as the internal customer pursues to minimize the cost involved in designing, manufacturing and installing the curtain-wall unit. It is crucial for project manager to find the tradeoff point which satisfies the conflicting interests pursued by the both parties. The system would be beneficial to establish a quality plan satisfying the both parties. Survey questionnaires were administered to the construction owner who has an experience of curtain-wall project, the architects who are the independent assessor, and the contractors who were involved in curtain-wall design and installation. The Customer Requirements (CRs) and their importance weights, the relationship between CRs and Technical Attributes (TAs) consisting of a curtain-wall unit, and the cost ratios of each components consisting curtain-wall unit are obtained from the three groups mentioned previously. The data obtained from the surveys were used as the QFD input to compute the Owner Satisfaction (OS) and Contractor Satisfaction (CS). MOGA is applied to optimize resource allocation under limited budget when multi-objectives, OS and CS, are pursued at the same time. The deterministic multi-objective optimization method using MOGA and QFD is extended to stochastic model to better deal with the uncertainties of QFD input and the variability of QFD output. A case study demonstrates the system and verifies the system conformance.

• 전자통신동향분석
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• 제38권1호
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• pp.55-64
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• 2023

Recently, preparations for 6G have led to the increasing interest in integrated or hybrid communication networks considering low-orbit satellite communication networks with terrestrial mobile communication networks. In addition, the demand for frequency allocation for new mobile services from low-orbit small satellites to provide global internet of things (IoT) services is increasing. The operation of such satellites and terrestrial mobile communication networks may inevitably cause interference in adjacent bands and the same band frequency between satellites and terrestrial systems. Focusing on the results of the recent ITU-R WP4C meeting, this study introduces the current status of frequency sharing and interference issues between satellites and terrestrial systems, and frequency allocation issues for new mobile satellite operations. Coexistence and compatibility studies with terrestrial IMT in L band and 2.6 GHz band, operated by Inmassat and India, respectively, and a new frequency allocation study (WRC-23 AI 1.18) are carried out to reflect satellite IoT demand. For the L band, technical requirements have been developed for emission from IMT devices at 1,492 MHz to 1,518 MHz to bands above 1,518 MHz. Related studies in the 2 GHz and 2.6 GHz bands are not discussed due to lack of contributions at the recent meeting. In particular, concerning the WRC-23 agenda 1.18 study on the new frequency allocation method of narrowband mobile satellite work in the Region 1 candidate band 2,010 MHz to 2,025 MHz, Region 2 candidate bands 1,695 MHz to 1,710 MHz, 3,300 MHz to 3,315 MHz, and 3,385 MHz to 3,400 MHz, ITU-R results show no new frequency allocation to narrow mobile satellite services. Given the expected various collaborations between satellites and the terrestrial component are in the future, interference issues between terrestrial IMT and mobile satellite services are similarly expected to continuously increase. Therefore, participation in related studies at ITU-R WP4C and active response to protect terrestrial IMT are necessary to protect domestic radio resources and secure additional frequencies reflecting satellite service use plans.

• International Journal of Advanced Culture Technology
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• 제11권1호
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• pp.232-240
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• 2023

The ecological expression of art in modern society takes the harmonious developmental relationship between man and nature as an element and combines it with the various manifestations of painting as an expression of ecological artistic development. The necessary relationship for the harmonious development of nature is accurately articulated, and the ecological changes in people are expressed in integrated materials that inspire human reflection. In the pursuit of material pleasures, mankind is neglectful and indifferent to the environment. The development of composite painting in art and ecology is a process that more reveres the harmony between man and nature as well as satisfying the creative value of the work. After systematic evaluation and research, people have engaged in various structural forms of composite art painting development in the long history of art development, focusing on the integration of environmental and ecological culture. In the process of nature education going through development, the comprehensive practical development of nature education is enhanced and efforts are made to feel new ecological art ideas and new ways of valuing environmental protection. In this paper, an observational study of eco-art will be carried out, starting from the theory of hierarchical division and analyzing the contradictory relationship between man and nature. Recognize nature, understand it and feel it through eco-art painting. The analysis of the contradictory relationship between man and nature is combined with the identification of various types of information that give value to the environmental protection public, and the combination of ecological painting and nature art to achieve an upgrade of the environmental protection idea of the value of painting. In the development of artistic ecological comprehensive painting, it is necessary to put forward technical requirements and standards that meet the development of modern industry according to the characteristics and methods of ecological painting. The author of this paper discusses the necessity and social value of artistic ecological painting creation from the artist's point of view, expounds the practical achievements of ecological painting from the perspective of the history and present situation of the development of ecological aesthetics at home and abroad, and gives the concept and creative method of contemporary art comprehensive material painting in combination with his own actual situation.

• 항공우주시스템공학회지
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• 제16권1호
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• pp.70-80
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• 2022

공중급유 능력은 항공기의 임무시간 증대와 운용영역 확장을 제공함에 따라 많은 군용기에 적용 및 운영되어왔다. 피급유기가 지정된 급유기로부터 공중급유를 받기 위해서는 기술 및 운용호환성평가를 통해 공중급유허용을 확보해야 한다. 적합성 평가에는 공중급유 조종성, 기능성, 연료, 조명시스템 평가를 포함하고 있으며 비행시험을 통해 최종 검증된다. 그러나 한국에서는 신규개발항공기에 대한 공중급유 적합성 평가를 수행한 사례가 없기 때문에 시험 요구도, 범위 및 프로그램 규모를 결정하기 위한 경험이 없는 상황이다. 본 논문에서는 공중급유 유형 소개와 한국 공군에 도입된 Boom & Receptacle 시스템에 대한 고정익 항공기 공중급유 FCS (Flight Control System) OFP (operational flight program) 검증, 시스템 검증 및 영역 허용 관련 공중급유 비행시험 방법을 연구하였다.

• 예술인문사회 융합 멀티미디어 논문지
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• 제6권11호
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• pp.585-594
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• 2016

정보시스템 개발 프로젝트는 점점 더 규모가 커지고 있고, 개발환경 또한 점점 더 복합해지는 추세 있다. 이러한 정보시스템개발 프로젝트를 성공적으로 관리해 나가는데 있어서 기존의 다양한 관리방법론은 기대하는 성과를 보여주지 못하고 있다. IT 프로젝트를 성공적으로 관리하고 효율적으로 운영하기 위해서는 새로운 접근방법에 대한 고려가 요구되고 있고 이에 따라 다양한 새로운 접근방법들이 제시되어 오고 있다. 이 연구는 이러한 접근방법 중으로 하나로 관심이 높아지고 있는 PMO를 중심으로 한 효율적인 정보시스템 개발과 관련한 PMO의 중요성과 그 활용방안을 실무적인 관점에서 연구하였다. 그 결과로 이 연구는 효율적인 사업추진 체계, 시스템의 주요 요구사항 도출, 시스템 기본 설계 방향 수립, 시스템 구축 범위 수립, 시스템 기본 설계, 시스템 구축 예산 산정 그리고 신 제안요청서 작성 방안을 제시하고 있어서, 사업수행을 성공적으로 끝낼 수 있도록 많은 기여를 한 것으로 예상된다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.14-15
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• 2020

The need for off-site construction has increased in the construction industry in Korea in recent years due to the enforcement of the 52-hour workweek, the increasing age of workers on construction sites, the deepening dependence on overseas workers, and the stagnation of productivity in the construction industry. Thus, studies on OSC started in April 2020. In addition, as a national policy study advocating the modular construction method, which is one of the OSC methods, was completed in the first half of 2019. 70 housing units in two complexes that satisfied the Housing Act requirements have been supplied to citizens. However, although modular construction methods have been recognized as a dramatic construction method that achieves shortened construction schedules and solves the issues of cost reduction and the shortage of technical workers on sites by combining the advantages of the manufacturing industry and applying the economies of scale, realistically it has issues due to the rising cost of steel and a low pre-fabrication ratio. Moreover, the construction time of core parts, such as those built by pouring concrete, has become a factor that hinders the shortening of construction times. Thus, this study aims to propose a precast concrete(PC) modular construction system, which fuses three-dimensional infill as an interior finish material and a three-surface PC module that can acts as a structure for a construction method that is economical and can shorten construction time.

• 한국도서관정보학회지
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• 제54권2호
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• pp.89-110
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• 2023

연구데이터 공유 및 보존을 위한 도구로 데이터 리포지터리가 활용되고 있다. 본 연구는 데이터 리포지터리 현황을 조사하고 Coretrustseal 인증 획득 방안을 제안하기 위하여 수행되었다. 연구 목적을 달성하기 위하여 re3data.org에서 Geoscience 분야의 데이터 리포지터리 현황에 대해 조사하였고 해당 리포지터리 중 Coretrustseal 인증을 획득한 10개의 모범사례를 분석하였다. 먼저, 리포지터리 현황을 파악한 결과, 국가별로 미국, 독일, 캐나다가 전체 리포지터리 중 66%를 차지하고 있으며 CTS 인증 현황 경우 미국, 유럽 그리고 독일의 비중이 58%로 나타났다. 다음으로 CTS 인증 확보를 위한 방안으로서 데이터 정책, 조직 인프라 그리고 기술 인프라 측면에서의 필요한 세부내용 및 요구사항을 제시하였다. 추후 본 연구 결과가 국내의 데이터 리포지터리 구축 및 운영 그리고 CTS 인증 획득에 도움이 되길 기대해본다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.