• Journal of Advanced Navigation Technology
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• v.23 no.4
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• pp.296-301
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• 2019

Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

• Journal of Digital Convergence
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• v.17 no.1
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• pp.169-177
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• 2019

The city is experiencing various problems such as traffic congestion, environmental pollution, urban crime, and faces the limit of growth. Recently, various attempts to build a Smart City have been spreading around the world, in order to solve these problems. Smart City is attracting attention as the core platform of the future city with the $4^{th}$ industrial revolution. However, various definitions of smart city are mixed, and the methods and strategies for implementing smart city are changing or evolving due to the development of technology and the experience during that time. This study summarizes the definition of various smart city through literature review and suggests smart city building strategy that enables sustainable growth of cities as a platform of the $4^{th}$ industrial revolution era.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.361-367
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• 2019

The purpose of this study is to examine the high-emotional quality in the design perceived by the Chinese millennials. To do this, we summarized the theoretical concepts of high-emotional quality in design based on the understanding of the characteristics of the millennials. Second, we collected and analyzed the high-emotional quality images thought by 50 millennials living in Beijing, China. Research results showed that high-emotional quality in the design perceived by the Chinese millennials was the innovation of the technology with the change of times, the social superiority that distinguishes me from other groups, and the cultural excellence taking more pride in own culture. This study are expected to be used as the basic data to understand the emotions of the Chinese millennials and to establish a design strategy for them.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.1-9
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• 2021

Artificial intelligence (AI) devices are rapidly emerging as a core platform of next-generation information and communication technology (ICT), this study investigated consumer usage behavior and user experience through AI devices that are widely applied to consumers' daily lives. To this end, data was collected from 600 consumers with experience in using AI devices were derived to recognize the attributes and behavior of AI devices. The analysis results are as follows. First, music listening was the most used among various attributes and it was found that simple functions such as providing weather information were usefully recognized. Second, the main devices used by AI device users were identified as AI speakers, smartphone, PC and laptops. Third, associative images of AI devices appeared in the order of fun, useful, novel, smart, innovative, and friendly. Therefore, practical implications are suggested to contribute to provision of user services using AI devices in the future by analyzing usage behaviors that reflect the characteristics of AI devices.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.465-470
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• 2021

This study was attempted to predict the direction for ward nursing work through robotic systemization. Robot systems have not been universalized due to difficulties in operation, space constraints, and high prices. The robotic systemization should be focused on the robotic systemization of simple and repetitive tasks. The idea of a robot system for measuring vital signs and a robot system that helps bed sheet exchange is worth discussing with the engineering field. In addition, for successful nursing and interdisciplinary convergence, a detailed analysis of nursing work is required, and in order to overcome the trial and error of convergence, it is necessary to establish a converging society between nursing and interdisciplinary systems. Robotic systemization of successful ward nursing work will not only generate profits for hospitals, but also raise the status of nurses and will be the starting point for innovation in nursing work.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.107-116
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• 2022

Recently, research has been actively conducted on the technology of inspection facilities through image-based analysis assessment of human-inaccessible facilities. This research was conducted to study the conditions of deep learning-based imaging data on bridges and to develop an evaluation prototype program for bridges. To develop a deep learning-based bridge damage detection prototype, the Semantic Segmentation model, which enables damage detection and quantification among deep learning models, applied Mask-RCNN and constructed learning data 5,140 (including open-data) and labeling suitable for damage types. As a result of performance modeling verification, precision and reproduction rate analysis of concrete cracks, stripping/slapping, rebar exposure and paint stripping showed that the precision was 95.2 %, and the recall was 93.8 %. A 2^nd performance verification was performed on onsite data of crack concrete using damage rate of bridge members.

• Korean small business review
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• v.43 no.1
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• pp.131-145
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• 2021

This study aims to diagnose research trends and to deduct implications from meta analysis of entrepreneurship studies in the Asia Pacific Journal of Small Business (APJSB), one of the most well-known academic journals in management and entrepreneurship field in Korea. Frequency and crossover analysis are executed in multi-dimensions by time period, topic, author, research level, data, and methodology by complete enumeration of every published paper for 40 years in APJSB which included core terms of entrepreneurship in its title, abstract, or keywords. From objective and quantitative schematization of research trends and characteristics of entrepreneurship studies, novel improvement plans which are highly applicable in research fields are suggested such as diversification of studies from ecosystem perspective, identification of authors, and standardized system of extended abstract of research papers. Implications and suggestions derived from the results propose future research directions and tasks when entrepreneurship studies have been rapidly increased. Furthermore, the innovation plans of management system of journals and papers are expected to contribute promotion of entire studies by significantly reducing trial and error, and inefficiency in research process.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.205-210
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• 2022

With the rapid development of the social economy and the continuous improvement of living standards, a favorable environment has been provided for the rapid development of the tourism industry. The highly developed Internet technology has provided people with more convenient online travel. With the rapid development of online tourism, tourism-related Internet businesses are also developing rapidly. This study first introduces the research background and significance of the study, and suggests the necessity of Ctrip's business model optimization study based on the development of social economy such as online tourism development hotspots and business model research issues. Ctrip explains the current status of research inside and outside the online travel industry and business model, in-depth introduction and analysis of related concepts and theories such as online travel and OTA business models, and expands them based on expert research. Several aspects such as insufficient Ctrip's existing business model, high current operating costs, major factors affecting suppliers, and slow development of new business were suggested, and alternatives were suggested to solve these problems. Ctrip maintained a sustainable competitive edge, including Ctrip's business model optimization strategy for value creation and innovation and Internet business model optimization strategy for customer value chains.

• Informatization Policy
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• v.30 no.1
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• pp.89-108
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• 2023

Science, technology and innovation (STI) has expanded the activity of actors from the traditional physical territory to the cyberspace. Data-driven platform services and markets advance new discussions on cross-border cooperation and cyber security, as well as discourse on sovereignty in cyberspace. These changes are also affecting the hegemony competition between the US and China. In particular, competition for aid to developing countries that are located along major resource transportation routes, such as natural gas and deep sea resources, is fierce. ASEAN is not only a geopolitical military and security point where the US and China powers collide, but its population of 600 million has great potential for the development of the digital economy due to its data resources. In this regard, this article aims to connect the discourse of liberalism and authoritarianism with data regulation and cybersecurity in international development cooperation, and derive implications for ASEAN integration through this. This study has significance as a convergence study that links international political issues related to big data in terms of global governance.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.220-220
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• 2022

물관리 일원화, 물관리기본법 제정·시행 등 우리나라 물관리 체계의 혁신기에 정책의 구심점 역할을 수행할 통합 물관리 전략 마련이 요구됨에 따라, 최근 관계부처 합동으로 「제1차 국가물관기본계획(2021~2030)」을 수립하여 공표·발간되었다. 국가물관리기본계획에서는 유역단위의 물관리를 원칙(12대 기본원칙 중(中))로 하며, 물관리 3대분야(수질·수생태, 이수, 치수)에 대한 추진전략을 수립하였다. 또한, 지속가능한 물관리 체계를 구축하기 위해 추진전략별 주요 관리지표를 설정하였으며, 이를 통해 물관리 방향을 정립하고 분야별 관련 및 하위계획과의 일관성·정합성을 유지하고자 하였다. 이에 본 연구에서는 추진전략별 주요 관리지표 중, 유역 재해안전도와 관련하여 하천범람에 대한 기존의 치수안전도의 한계점을 검토하고 유역단위의 치수관리 현황을 평가 할 수 있는 방안을 마련하고자 하였다. 과거 유역종합치수계획에서의 치수안전도는 홍수피해잠재능(PFD)을 적용하여 등급별 홍수방어대책 수립방향 및 하천의 설계빈도 조정을 검토하였으며, 홍수피해잠재능(PFD)의 실무적 적용 어려움(산정인자 다(多)), 설계빈도와의 연계성 부족, 치수단위구역의 공간적 정확성 미흡 등에 대한 개선·보완의 의견이 제기되어 왔다. 또한, 유역내 전체하천이 아닌 주요 하천을 대상으로만 치수안전도 설정하여 유역단위의 치수관리에 한계가 있으며, 하천 전체구간의 설계빈도 상향에 따른 홍수방어대책이 비경제적인 것으로 판단된다. 따라서, 기존의 치수안전도의 한계점을 개선하기 위하여 홍수피해잠재능(PFD)의 산정인자 단순화, 홍수위험지도를 활용을 통한 치수단위구역의 공간적 정확도 향상 및 치수단위구역별 설계빈도 조정 가능 등의 개선방안을 검토하였으며, 빈도별 치수단위구역의 홍수피해잠재능(PFD)의 통계적 특성 분석을 통해 등급 설정 및 설계빈도 조정 기준을 제시하였다. 그리고 유역내 전체하천에 대한 치수단위구역별 치수안전도를 설정하고, 중권역 단위의 치수안전도를 평가하여 유역단위의 치수관리 현황을 정량적으로 제시함에 유역 재해안전도로 활용이 가능할 것으로 판단된다.