• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.67-77
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• 2021

This study conducted topic modeling, association analysis, and sentiment analysis focused on text mining in order to reflect regional characteristics in the process of establishing an information plan in Chungcheongbuk-do. As a result of the analysis, it was confirmed that Chungcheongbuk-do occupies a relatively high proportion of educational activities to bridge the information gap, and is interested in improving infrastructure to provide non-face-to-face, untouched administrative services, and bridge the gap between urban and rural areas. In addition, it is necessary to refer to the fact that there is a positive evaluation of the combination of bio and IT in the regional strategic industry and examples of ICT innovation services. It has been confirmed that smart cities have high expectations for the establishment of various cooperation systems with IT companies, but continuous crisis management is necessary so that they are not related to political issues. It is hoped that the results of this study can be used as one of the methods to specifically reflect regional changes in the process of informatization.

• Journal of Platform Technology
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• v.9 no.1
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• pp.32-39
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• 2021

Existing environmental measuring devices mainly focus on electromagnetic wave and eco-friendly product certification and durability test, and sensor reliability verification and verification of measurement data are conducted mainly through sensor performance evaluation through type approval and registration, acceptance test, initial calibration, and periodic test. This platform has established an ICT-based environmental monitoring sensor reliability verification system that supports not only performance evaluation for each target sensor, but also a verification system for sensor data reliability. A sensor board to collect sensor data for environmental information was produced, and a sensor and data reliability evaluation and verification service system was standardized. In addition, to evaluate and verify the reliability of sensor data based on ICT, a sensor data platform monitoring prototype using LoRa communication was produced, and the test was conducted in smart cities. To analyze the data received through the system, an optimization algorithm was developed using machine learning. Through this, a sensor big data analysis system is established for reliability verification, and the foundation for an integrated evaluation and verification system is provide.

• Industry Promotion Research
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• v.6 no.2
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• pp.47-53
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• 2021

This study is a study on the change of life and leisure satisfaction caused by the reduction of working hours of office workers, summarizing the results of the analysis as follows: First, the change in the working hours of office workers was found to be men (42.4 percent), but women (54.7 percent) had a high increase in personal satisfaction, monthly income of 2 to 3 million won 96.1 percent, and personal satisfaction increased in small and medium-sized cities and towns. Second, leisure satisfaction due to shorter working hours was somewhat high in monthly income of 3 million won to 4 million won (43.6%) and more than 6 million won (39.1%), but there was no change in leisure satisfaction by gender, age, academic background, number of family members, marital status, worker status and region. The revitalization of leisure is a very important task in personal life, but it is meaningful in that it provided implications for socializing leisure as leisure satisfaction is positively spreading in life changes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.15-20
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• 2020

Recently, the real estate is of high interest. This is because real estate, which was considered only a residential environment in the past, is recognized as a stable investment target due to the ever-growing demand on it. In particular, in the case of the domestic market, despite the decrease in the number of people, the number of single-person households and the influx of people to large cities are accelerating, and real estate prices are rising sharply around the metropolitan area. Therefore, accurately predicting the prospects of the future real estate market becomes a very important issue not only for individual asset management but also for government policy establishment. In this paper, we developed a program to predict future real estate market prices by learning past real estate sales data using machine learning techniques. The data on the market price of real estate provided by the Korea Appraisal Board and the Ministry of Land, Infrastructure and Transport were used, and the average sales price forecast for 2022 by region is presented. The developed program is publicly available so that it could be used in various forms.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.1
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• pp.26-36
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• 2021

The topic of this study is the field of humanitarian logistics for disaster response. Many existing studies have revealed that compliance with the golden time in response to a disaster determines the success or failure of relief activities, and logistics costs account for 80% of the disaster response cost. Besides, the agility, responsiveness, and effectiveness of the humanitarian logistics system are emphasized in consideration of the disaster situation's characteristics, such as the urgency of life-saving and rapid environmental changes. In other words, they emphasize the importance of logistics activities in disaster response, which includes the effective and efficient distribution of relief supplies. This study proposes a mathematical model for establishing a transport plan to distribute relief supplies in a disaster situation. To determine vehicles' route and the amount of relief for cities suffering a disaster, it mainly considers the urgency, effectiveness (restoration rate), and uncertainty in the logistics system. The model is initially developed as a mixed-integer nonlinear programming (MINLP) model containing some nonlinear functions and transform into a Mixed-integer linear programming (MILP) model using a logarithmic transformation and piecewise linear approximation method. Furthermore, a minimax problem is suggested to search for breakpoints and slopes to define a piecewise linear function that minimizes the linear approximation error. A numerical experiment is performed to verify the MILP model, and linear approximation error is also analyzed in the experiment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.612-623
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• 2022

Estimation of the presence of people in real time is extremely useful for businesses in providing better services. Many companies and researchers have attempted various researches in order to count the number of floating population in a specific space. Recently, as part of smart cities and digital twins, commercialization of measuring floating populations using Wi-Fi signals has become active in the public and private sectors. In this paper we present a method of estimating the floating population based on MAC-address values collected from smartphones. By distinguishing Real MAC-address and Random MAC-address values, we compare the estimated number of smartphone devices and the actual number of people caught on CCTV screens to evaluate the accuracy of the proposed method. And it appeared to have a similar correlation between the two datas. As a result, we present a method of estimating the floating population based on analyzing Wi-Fi Probe Requests.

• Journal of Advanced Navigation Technology
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• v.27 no.4
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• pp.330-336
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• 2023

Rapid urbanization is rapidly progressing around the world, and urban problems such as traffic congestion, environmental pollution, and noise pollution are emerging, due to this urban concentration phenomenon, logistics and transportation costs are increasing. Urban Air Mobility(UAM) is a three-dimensional futuristic urban transportation that is expected to become an important transportation axis of smart cities as a service(MaaS) linked to roads, railways, and personal transportation. However, as of July 2023, research on airspace systems, Bertieport design, navigation, and communication for UAM operation is actively being conducted, but little research has been conducted on the concept of pilot education and training and education and training programs. Therefore, this paper aims to present a suitable plan for the domestic pilot training system through SWOT analysis of vertical takeoff and landing(VTOL) pilot education and training programs in the United States and Europe.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.340-340
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• 2020

본 연구는 산지-도심-해안으로 연결된 해안도시의 지역적인 특성으로 인해 해일과 같은 조위 상승 원인이 침수 및 홍수 위험을 증가시키는 복합재난에 대응하기 위하여 실시간 침수 위험정보 확인 및 대응, 대시민 상황전파 등이 가능하도록 IoT 융합 침수 대응시스템을 개발하는 것이다. 또한, 침수 및 홍수방어벽 등의 구조적대책을 검토하여 실시간 IoT 융합 침수 대응시스템과 연계운영함으로써 해안도시의 시설 및 재산을 보호하고 시민의 안전을 확보하는데 기여할 수 있는 실증연구를 수행하는 것을 목표로 한다. 침수 대응을 위한 구조적 대책은 양산형 IoT 침수 및 하천수위 감지 장비, 센서 연동 침수 및 홍수방어벽, 복합재난알림 디스플레이 등의 개발이며, 비구조적 대책은 강우-하천수위-조위 실측자료기반의 머신러닝 침수위험 분석 모듈 개발, 수치모의에 의한 예상 침수심 및 침수위험지도 작성, 재난상황 전파 알림서비스 등이 있으며 개발된 시제품과 기술을 테스트베드에 적용하고 부산광역시에서 운영하는 재난상황관리시스템인 스마트빅보드(SBB, Smart Big Board)에 연계 및 탑재함으로써 향상된 침수대응 및 대시민 서비스가 가능한 시스템을 구축 및 실증하고자 한다. 센서, 통신, 자료연계 및 분석에 대한 IoT 융합 기술을 침수 대응 기술개발에 적극 활용하여 실측자료와 수치모의 분석 결과가 연계된 침수위험정보를 생산하고 실시간 대응이 가능한 효율적이고 실질적으로 피해를 저감 할 수 있는 기술을 개발하고 적용성을 입증한다면 국내외 해안도시에 확대 보급이 가능해져 침수 피해로부터 효과적으로 국민의 재산과 생명 보호할 수 있다. 또한, IoT 기술을 연계한 재난 모니터링 시스템의 확산으로 복합재난 대응 연구에 기여할 수 있고 상대적으로 실측자료 수집, 연구에 소외되어 온 소하천 등에도 적용이 가능하여 재난으로 인한 사회적 비용을 경감시킬 수 있을 것으로 기대된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.24-34
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• 2021

Estimation of the presence of people in real time is extremely useful for businesses in providing better services. Many companies and researchers have attempted various researches in order to count the number of floating population in specific space. Recently, as part of smart cities and digital twins, commercialization of measuring floating populations using Wi-Fi signals has become active in the public and private sectors. This paper explains the floating population measuring system from the perspective of general consumers(non-experts) who uses current population data. Specifically, it presents a method of estimating the floating population based on MAC-address values collected from smartphones. By distinguishing Real MAC-address and Random MAC-address values, we compare the estimated number of smartphone devices and the actual number of people caught on CCTV screens to evaluate the accuracy of the proposed method. And it appeared to have a similar correlation between the two datas. As a result, we present a method of estimating the floating population based on analyzing Wi-Fi Probe Requests

• Journal of the Economic Geographical Society of Korea
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• v.26 no.2
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• pp.155-168
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• 2023

Health geography has gained importance due to healthy smart cities, regions, and the integration of geo-internet and blockchain technologies. This study explores the intersection of geography and health, focusing on specific health challenges faced by individuals and groups. Using observational and descriptive methods, the study takes a regional approach to illuminate the socio-economic factors that are critical to addressing global health challenges. Drawing on academic literature and practical research, a concise case study of health challenges in Uzbekistan is presented, offering valuable insights. The analysis of data from informative articles and UN publications highlights the interdisciplinary nature of health geography and its practical applicability for researchers and policymakers. The findings underscore the important role of geography and health sciences in addressing region-specific diseases while highlighting the importance of spatial analysis in understanding environmental hazards and health impacts, including disease outbreaks.