• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.59-66
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• 2021

This study proposes a requirements monitoring method that systematically performs traceability management and change management for requirements in order to improve the quality of software systems in the software development process. To this end, we present the artifact change history management models to systematically perform change management for individual artifacts and the traceability matrixes to define the relationship between artifacts. It also proposes a visual dashboard that makes it easy to grasp the situation in which changes are propagated to related artifacts when specific artifacts change.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.367-368
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• 2020

최근 SocailNetworkService(SNS) 플랫폼은 중독을 유발하는 알고리즘을 통해서 시장점유율을 높이는 전략을 사용하고 있다. 이에 따른 부작용으로 일상생활에 무리가 갈 정도의 사용자가 나타나고 있다. SNS 중독 사용자는 스스로가 문제를 인지하고 있으나 자제를 못하고 있어 SNS 중독 완화를 돕는 어플리케이션이 개발되고 있다. 이러한 어플리케이션은 일정 부분 중독 완화에 도움은 주고 있으나 다음과 같은 문제점을 갖는다. 첫째 일반적으로 SNS 사용자는 여러 SNS를 동시에 사용하기 때문에 이를 통합하여 볼 수 있는 기능이 필요하다. 기존 어플리케이션에서는 특정 SNS만을 대상으로 하는 문제가 있다. 둘째 SNS의 사용량을 표현하는 방식이 단순이 그래프 형태로만 지원되어 다양한 정보 제공에 한계가 있다. 마지막으로 SNS의 과도한 사용에 대한 경각심을 새겨줄 수 있는 요소가 부족하다. 이 논문에서는 여러 SNS 사용량을 통합하여 제공하는 대시보드 기능, 게이미피케이션 요소를 접목하여 사용량을 다양한 가치로 보여주는 기능, 그리고 SNS 중독 정도에 따라 다양한 공포소구 메시지를 지원하는 기능을 통해 SNS 사용자의 중독 완화를 지원하는 어플리케이션을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1068-1070
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• 2022

우리나라의 무역 활동을 처리하는 항만은 국가 주요시설로 보안에 만전을 기하고 있다. 그러나 항만의 면적이 넓고 복잡하기 때문에 사각지대가 존재하고 사각지대에서의 불법행위 단속 건수는 매년 증가하고 있다. 이에 항만의 보안 강화를 위한 대책이 필요하다. 본 논문은 항만의 상황을 이동형 CCTV에 부착된 IoT 센서들로 인식하여 YOLOv5 딥러닝 모델로 분석한 후 웹 대시보드에 시각화하는 항만 보안 시스템을 제안한다. 이동형 CCTV는 특정 위치로 직접 이동할 수 있어 거리에 따라 해상도가 낮아지는 기존 CCTV의 단점을 보완할 수 있다. 또한 해당 시스템은 주변에서 쉽게 구할 수 있는 장비들과 오픈소스 라이브러리를 활용하기 때문에 다른 보안장비들에 비해 효율적인 비용으로 높은 보안 효과를 얻을 수 있다는 강점을 지닌다. 본 시스템은 항만시설뿐 아니라 군사시설, 물류시설 등 보안을 중요시하는 다른 분야에 확대 적용될 수 있다는 점에서 의의가 있다.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2591-2593
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• 2001

본 논문에서는 차량거리 제어장치를 구성하는 능동적인 안전장치 개발의 도구로써 선진국에서 선박 및 항공기에 이미 상용화되고 있는 이른바 Head-up display(HUD)를 차량에 도입, 차량정보 Monitoring System을 개발하는 것을 목적으로 한다. 차량에 도입하고자 하는 HUD의 개념은 차량 운전자의 전면 대시 보드 상에 디스플레이를 위치시켜 운전자 전면의 도로시야와 차량정보를 동시에 획득하여 안전도 및 편의성을 높이고자 하는 것이다. 그러나 디스플레이 정보가 맺히는 상이 놓이는 위치 때문에 기존의 HUD는 외부의 밝은 광 아래에서 선명한 정보를 얻기가 매우 어렵다. 이를 해결하기 위해서 본 논문에서는 광제어 필름, 빔 스플리터 등을 이용해 결상면에 코팅처리를 하였으며, 좀 더 고성능의 광원을 확보하고, 미러부의 각도변경 및 LCD의 투과율을 증대하였다. 그 결과 기존의 제품 보다 매우 높은 시인성을 나타내는 것을 확인할 수 있었다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.29 no.10
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• pp.745-751
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• 2018

This paper reports on the design of a multiband multiple-input and multiple-output(MIMO) antenna for long-term evolution(LTE) vehicular communication and includes an analysis of the throughput field test results that were acquired by mounting the antenna to a vehicle. The antenna used for the field test was designed as a planar structure and included multiple stubs to obtain multiband resonant characteristics operating in the LTE(0.8~0.9 GHz, 1.7~2.2 GHz), Wi-Fi(2.4~2.48 GHz), and wireless access in vehicular environments (WAVE)(5.8~5.9 GHz) frequency bands. For the field test, antenna prototypes were mounted on the dashboard and roof of a vehicle and connected to the experimental LTE modem. The data transfer rate(throughput), signal-to-interference-plus-noise ratio(SINR), and reference signal received quality(RSRQ) were measured and analyzed in various real-world radio wave environments. Based on these results, the relationship between the SINR and throughput according to the field intensity is confirmed.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.1
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• pp.65-72
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• 2012

With the development of MEMS, small and low-priced sensors integrating IMU and GPS have produced and exploited for diverse field. In this research, we have judged that MEMS-based IMU/GPS sensor is suitable for light-weighted mobile mapping system and carried out experiments to analyze the characteristics of MTi-G, which was developed from XSens company. From a sensor which fixed to dashboard, coordinates results with no post-processing were achieved for test area. On the whole, the results show satisfactory performances but some errors also were discovered from parts of the road due to sensor properties, XKF characteristics and GPS reception environment. We could confirm the potential of light-weighted mobile mapping system. Experiments considering various GPS reception environments and road condition and more detailed level of accuracy analysis will be performed for further research.

• Journal of Internet of Things and Convergence
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• v.6 no.3
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• pp.15-20
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• 2020

In this paper, an error tracking platform is designed for enhanced-reliable IOT system. The platform is designed to enhance reliability of IOT system by analysing additional informations(OS, Browser, Device) and by notifying error detection to developers. Especially, in the case of an error in the service which it is difficult for developers to recognize it, The platform also supports notification services through various communication media(Email, Slack, SMS). The common interface is designed to accommodate many languages(typescript, Swift, and Android) in the development process, and the interface allows users to analyze errors that occur on various platforms, including mobile/web/desktop applications. By presenting each error in groups through issues, developers can easily identify issues in the service. The visualizing function is included to recognize various error type by dashboard.

• Fire Science and Engineering
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• v.31 no.2
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• pp.74-81
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• 2017

This study analyzed the regulatory actions of disposal gas lighters as well as the situations, causes, and preventive measures of fires, and accidents caused by disposal gas lighters. Since child-resistant lighters became mandatory, the percentage of fires caused by playing with fire has decreased in Korea as it did in America and Japan. Fires caused by disposal gas lighters can occur by afterburning, unintentional lighting, large flames, or explosion or bursting as well as by arson and playing with fire. This study suggests the preventive measures of fires caused by disposal gas lighters as follows: Taking a step not to be used as child's tool for playing with fire, the warning of fire cases caused by afterburning, warning of the dangers of leaving disposal gas lighters on the car dashboard or high temperature places, improving the protective synthetic resin cover of the stop part of a vehicle seat rail, and providing information on precautions for keeping in drawers or disposition methods.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.115-121
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• 2020

As the participation of blockchain increases, governance to maintain the ecosystem is being activated. Governance must be managed/supervised to maintain and improve the blockchain. However, as the usage of blockchain increases, there is a limit for people to manage it individually. In addition, smart contracts applied from Ethereum need to be verified for trade that are determined according to status values, as new trade types are possible. This research proposes a surveillance system, Blockchain Watchdog, based on the state monitoring of the blockchain smart contract as a tool for maintaining and developing the blockchain ecosystem of governance, and implemented and tested the surveillance system. As a case study, we conducted experiments on Ropsten and Ganache, and were able to see real-time information collection and visualization using dashboards, graphs, and charts. We expect to contribute to the maintenance and development of the ecosystem of blockchain governance through Blockchain Watchdog.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.