• 한국환경복원기술학회지
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• 제23권2호
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• pp.33-47
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• 2020

With population losses and stagnant or depressed economies, the local governments embrace shrinkage and accept having a significantly smaller population. Both the initial and ongoing causes of shrinkage hold dramatic effects on the city and its remaining residents. In this context, vacant land increases as an overabundance of unused infrastructure is demolished and municipalities become burdened with increasing maintenance costs of this land. The result is that vacant land often experiences minimal management relative to social norms and have chance to provide a setting for ecological processes with urban rightsizing strategy. Therefore, urban ecosystems undergo major shifts in structure and function. We need to better understand the possibilities of where and how much of houses and land will be abandoned to assist land planners and policymakers to mitigate conflict between optimal ecological and sociological outcomes. This article, therefore, aims to identify distributional characteristics of vacant houses and lands with case study of Mokpo. The study found and verified affecting factors of vacant houses and lands by type through the use of a Maxent model and spatial data that explained housing choice and preference theory. We can predict the vacancies with the spatial variables such as land price, the population ratio over 65, and the distance from security facility. Based on the analysis, the ways of managing housing and land vacancy for sustainable development and ecological restoration method are discussed.

• 산경연구논집
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• 제11권5호
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• pp.45-52
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• 2020

Purpose: In the 4th industrial revolution, services that incorporate various smart technologies in the tourism sector have begun to gain popularity. Accordingly, academic discussions on smart tourism have also started to become active in various fields. Despite recent research, the definition of smart tourism is still ambiguous, and it is not easy to differentiate its scope or characteristics from traditional tourism concepts. Thus, this study aims to analyze the perception of smart tourism exposed online to identify the current point of smart tourism in Korea and present the research direction for conceptualizing smart tourism suitable for the domestic situation. Research design, data, and methodology: This study analyzes the perception of smart tourism exposed online based on 20,198 news data from portal sites over the past six years. Data on words used with smart tourism were collected from the leading portal sites Naver, Daum, and Google. Text mining techniques were applied to identify the social awareness status of smart tourism. Network analysis was used to visualize the results between words related to smart tourism, and CONCOR analysis was conducted to derive clusters formed by words having similarity. Results: As a result of keyword analysis, the frequency of words related to the development and construction of smart tourism areas was high. The analysis of the centrality of the connection between words showed that the frequency of keywords was similar, and that the words "smartphones" and "China" had relatively high connection centrality. The results of network analysis and CONCOR indicated that words were formed into eight groups including related technologies, promotion, globalization, service introduction, innovation, regional society, activation, and utilization guide. The overall results of data analysis showed that the development of smart tourism cities was a noticeable issue. Conclusions: This study is meaningful in that it clearly reflects the differences in the perception of smart tourism between online and research trends despite various efforts to develop smart tourism in Korea. In addition, this study highlights the need to understand smart tourism concepts and enhance academic discussions. It is expected that such academic discussions will contribute to improving the competitiveness of smart tourism research in Korea.

• 산업경영시스템학회지
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• 제47권1호
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• pp.41-50
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• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• 한국실내디자인학회논문집
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• 제22권4호
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• pp.121-129
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• 2013

This study was aimed at determining the characteristics of circular multi-family housing under the assumption that the shape of a residential building affects local identity. A total of six case studies were included in this study, three case studies on idle historical industrial facilities turned into residential buildings and another three on multi-family housing located in newly developed residential complexes. The study drew its conclusions as follows. First, the design of circular multi-family housing was intended to maximize security and defense from the outside in older times. This was later developed as the terrace house style with geometric urban squares designed under the urban planning of the Baroque period. This evolved high-density housing with a courtyard in the center offering a green open space, with the aim of restoring a sense of humanity. Second, the six case studies on circular multi-family housing were analyzed from the viewpoint of each factor of local identity, including historical and cultural, landscape, and community. Third, the historical and cultural elements of circular multi-family housing are found in some unused historical industrial facilities remodeled into residential buildings. They provide new capabilities and shapes desired by society at a given time, while maintaining familiar styles and elements of history, integrating a legacy of the past into the present. Fourth, circular multi-family housing with unique shapes and structures often become landmarks of a region with their distinctive appearance against a uniform urban environment and the monotonous scenery of residential complexes. They also show a high level of visual awareness with the distinctive shapes made possible when new elements are added to a historical exterior. Finally, circular multi-family housing with courtyards in the center prompt social contact between inhabitants, especially with dormitories and rental houses for the low-income bracket, which provide a small individual units with high use common space. Circular multi-family housing are planned in a manner similar to a small village or a city. They are designed to enhance sense of community, allocating various public amenities and provide cultural and commercial spaces on the ground floor and courtyard areas.

• 디지털융복합연구
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• 제17권1호
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• pp.403-412
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• 2019

본 연구는 아토피피부염 발생의 시 군 구 단위별로 시공간적 변이를 분석하고, 이에 대한 주요 요인을 파악하는 것이다. 연구에 활용한 자료는 2009년~2013년까지의 지역사회건강조사와 통계청의 통계포털시스템 등에서 수집한 자료로 시 군 구 단위의 데이터베이스를 구축한 뒤, 기술통계 및 지리적 가중회귀모형을 이용하여 분석하였다. 분석결과, 지역별 아토피피부염 진단율은 5년간 지속적으로 증가하였으며, 지역 간 차이도 큰 것으로 나타났다. 아토피피부염 진단에 미치는 요인은 노인비율, 우울증 경험률, 기초생활 수급자 비율, 고위험 음주율, 담배 소매업 수, 폐수배출업소 수, 패스트푸드 음식점 업수로 나타났다. 본 연구는 아토피피부염과 관련된 지역적 특성을 고려한 보건정책에 기초 자료를 제공하고, 지역별 건강사업 우선순위 결정에 대한 정보를 제시하였다는 점에서 의의를 가진다.

• 경영과정보연구
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• 제4권
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• pp.349-374
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• 2000

With rapid advances on Interactive technology, and the growing popularity of the Internet, Internet shopping receives considerable attention in both the popular-press and academic journals. The Internet has enormous commercial possibilities. But it is a new and dynamic medium that poses special challenges for marketers. The revolutionary nature of the Internet mandates that established wisdom on consumer marketing along with marketing-mix strategies has to be reexamined and perhaps radically revised. In order to assist marketers in this endeavor it is critical to understand consumers' buying behaviors of Internet shopping. But research in this area still very much its infancy. This study examined previous researches of Internet shopping and developed conceptual framework of Internet shopping modes. Additionally, this study examined empirical investigation of Internet shopping. Preliminary results suggests that there are significant differences in individuals' perceptions of Internet shopping and traditional shopping modes. Various factors influences on consumers' buying behavior on Internet shopping. There are Individuals' factors(personality, lifestyle, prior experience, perceived risk etc), shopping mall factors(trust, vividness, security, promotion, etc), product characteristics(product category, brand, etc), situational factors(time pressure, locational constraints etc), social/cultural factors(Norms, importance of other peoples etc). Additionally, We conducted empirical study of the impact of the Internet on consumer shopping behavior. We gathered consumers' reactions via an open-ended survey using a sample of 90 shoppers. We related the reactions to the factors of consumers' satisfaction or dissatisfaction of the Internet shopping. Consequently, there are many questions regarding factors that might influence Internet shopping. From theoretical and practical perspectives, studies that examine these factors would seem to offer much to the discipline. This paper has attempted th provide insights and direction of future empirical examination of Internet shopping.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권4호
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• pp.1854-1868
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• 2018

A wireless body-sensor network (WBSN) refers to a network-configured environment in which sensors are placed on both the inside and outside of the human body. The sensors are much smaller and the energy is more constrained when compared to traditional wireless sensor network (WSN) environments. The critical nature of the energy-constraint issue in WBSN environments has led to numerous studies on the reduction of energy consumption of WBSN sensors. The transmission-power-control (TPC) technique adjusts the transmission-power level (TPL) of sensors in the WBSN and reduces the energy consumption that occurs during communications. To elaborate, when transmission sensors and reception sensors are placed in various parts of the human body, the transmission sensors regularly send sensor data to the reception sensors. As the reception sensors receive data from the transmission sensors, real-time measurements of the received signal-strength indication (RSSI), which is the value that indicates the channel status, are taken to determine the TPL that suits the current-channel status. This TPL information is then sent back to the transmission sensors. The transmission sensors adjust their current TPL based on the TPL that they receive from the reception sensors. The initial TPC algorithm made linear or binary adjustments using only the information of the current-channel status. However, because various data in the WBSN environment can be utilized to create a more efficient TPC algorithm, many different types of TPC algorithms that combine human movements or fuse TPC with other algorithms have emerged. This paper defines and discusses the design and development process of an efficient TPC algorithm for WBSNs. We will describe the WBSN characteristics, model, and closed-loop mechanism, followed by an examination of recent TPC studies.

• 한국국방경영분석학회지
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• 제3권2호
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• pp.49-77
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• 1977

Weapon systems are curcial instruments for the security of a nation and critical elements for the victory in a war. Since modern weapon systems tend to be capital-intensive with high precision and quality, they become more and more complex and diversified; their acquisition costs become huge; and their technological obsolescence becomes accelerated. Therefore, the systematic management of weapon acquisition process would be one of the most important defense tasks at the national level. To analyze such problems and find solutions, this paper has studied various aspects related to the efficient management of weapon system acquisition. After brief summarization of the general characteristics of weapon systems, their effectiveness, and developmental trend, the paper discusses the defense management policies and techniques for the weapon systems. Specifically, four alternative acquisition methods such as indigenous R & D, foreign purchase, co-production and joint-production are discussed and analyzed by systems approach. The systems analysis procedure to evaluate and select weapon acquisition method is as follows; 1) to analyze the merits and demerits of the alternative methods, 2) to screen unrealistic alternatives through the consideration of significant factors such as political, economic, military, technological, and social constraints, 3) to evaluate and select an optimal one among the remaining acquisition methods after the cost-effectivenss analysis. For the base of cost-effectivess analysis, cost analysis model as well as effectiveness analysis model of each acquisition method are developed.

• 한국컴퓨터정보학회논문지
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• 제11권4호
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• pp.221-230
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• 2006

급격하게 변화하는 현대도시의 삶은 도시인의 평균 정주기간을 갈수록 짧아지게 하였으며 이것은 도시 주거지의 정체성을 약화시킴으로써 급격한 강력범죄 발생을 유도하였고 이에 따라 도시안전은 심각하게 저해되었다. 도시는 메크로 할 뿐만 아니라 마이크로 한 특성을 갖는 매우 복합적인 구조로써 범죄발생 또한 범죄자의 개인적인 동기를 포함하여 도시의 사회적, 경제적, 공간적 구성관계 속에서 나타나는 매우 복합적인 현상으로 파악된다. 따라서 본 연구에서는 급속히 증가하는 도시 내의 강력범죄 발생패턴을 사회적, 경제적, 공간적으로 분석하여 그 구조적 역학관계를 메크로하며 마이크로하게 규명함으로써 범죄발생을 유형적 시간적, 공간적으로 예측하는 범죄예측 프로그램의 개발이 필요함을 강조하였다. 나아가 범죄발생과 밀접하게 관련된 다양한 인자들을 도출한다면 도시범죄의 발생구조를 보다 명확히 규명할 수 있을 것이다.

• 융합정보논문지
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• 제8권6호
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• pp.231-236
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• 2018

최근 정보통신기술의 빠른 발전에 따라 새로운 유형의 취약점 및 공격 기법들이 수없이 생겨나고 사회적인 물의를 일으키고 있다. 본 논문에서는 2018년 5월경 Cisco 위협 정보팀인 Talos Intelligence가 새롭게 발견한 대규모 사물인터넷 기반 botnet을 구성하는 'VPN-Filter'의 공개된 표본을 분석하여, 현시대의 사물인터넷 기반 botnet의 구성 방식과 공격방식에 대하여 살펴보고 해당 자료를 바탕으로 VPN-Filter와 접목해 VPN-Filter의 공격 시나리오와 공격 취약점의 특징에 대해 이해하고 VPN-Filter 악성코드를 이용한 Botnet 구성의 핵심이 되는 C&C Server 연결방식의 원인을 제거하기 위해 EXIF 메타데이터 제거 방식을 통한 해결방안을 제안하여 미래에 다가올 4차 산업혁명 시대의 사이버 보안에 기여하길 기대한다.