• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1411-1414
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• 2011

도시재생에서 정책을 수립하고 사업을 진행시키기 위해서는 해당 도시가 어느 정도 쇠퇴되어 있는지 판단할 수 있어야 한다. 쇠퇴의 종합적인 진단을 위해서는 물리 환경, 인구 사회, 산업 경제 등에 대한 판단기준인 쇠퇴지표가 개발되어야 하며 그에 따른 DB를 구축하여 쉽고 빠르게 활용할 수 있는 정보시스템이 요구된다. 본 연구에서는 시군구단위 도시쇠퇴를 진단할 수 있는 RIA 기반의 도시 쇠퇴진단시스템을 구현하였다. 구현된 시스템은 웹기반으로 개발되어지고 WMS, OpenAPI, RIA 방식등을 적용하여 사용자의 경험(UX)을 최대한 활용하여 이용자들이 직관적이고 쉽게 사용할 수 있도록 하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.235-238
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• 2024

본 논문은 환경 보호와 도시 이동성 최적화를 위한 효율적인 운행 수단인 카풀(Carpool)을 제안한다. 카풀은 도로의 차량 수를 감소시켜 도로 교통 혼잡과 주차 공간 필요성을 줄이는 효과를 가져온다. 또한 카풀은 운전자 개인이 부담해야 할 운행 비용을 여러 명이 함께 부담하여 경제적 부담을 감소시킨다. 본 프로젝트에서는 실시간 GPS를 이용하여 이용자의 실시간 위치를 파악하여 이용의 편의성과 안전성을 향상시켰다. 카카오페이 API를 활용한 선 결제 시스템, 파이어 베이스를 이용한 채팅 기능, 웹 소켓을 활용한 실시간 알람 기능을 이용하여 더욱 안전한 이용이 가능하도록 하였다. 웹 환경에서도 관리자가 회원들의 관리를 보다 효율적으로 할 수 있게 하였다. 본 논문에서는 기존의 카풀 서비스의 문제점을 제시하고 그에 대한 해결 방안을 구현하여 안전한 카플 서비스를 지원한다.

• Journal of the Korean Society of Safety
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• v.22 no.4
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• pp.110-116
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• 2007

There have been 3E problems of energy, economy and environment since the earth has its history. Especially, as the industrial society is highly developing, human need in daily life has also changed drastically. With the introduction of 40 hour working week system, more households enjoy picnics on weekends. More gas accidents take place on Saturdays and on Sundays than any other days of week. Consequently, this study tries to find out the influence of flame caused by the explosion of butane canister on the adjacent combustibles and people by simulating relevant quantity of TNT. In addition, the damage estimation was conducted by using API regulations. If the scale of the radiation heat is known by calculating the distance of flame influence from the explosion site, the damage from the site can be easily estimated. And the accident damage was estimated by applying the influence on the adjacent structures and people into the PROBIT model. According to the pro bit analyze, the spot which is 50cm away from the flame has 97% of the damage probability by the first-degree burn, 8% of the damage probability by the second-degree burn and 4% of the death probability by the fire.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1093-1098
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• 2006

VR 엔진은 일부 입력장치에 대해서만 제한적으로 지원하기 때문에, 개발자가 원하는 입력장치를 사용하지 못하는 경우가 있으며, 가격 또한 고가이기 때문에 특수한 입력장치를 사용하기 위해, 다른 VR 엔진이나 별도의 옵션을 구매하기에는 경제적인 부담이 많이 든다. 이러한 문제를 해결하기 위해 본 논문에서는 개발자가 사용하고자 하는 입력장치와 VR 엔진의 호환을 위한 랩퍼 클래스를 제안한다. 개발한 랩퍼 클래스는 VR 엔진에서 조이스틱을 제어할 수 있는 조이스틱 클래스와 USB 캠을 통하여 영상을 획득하기 위한 USB 캠 클래스이다. 조이스틱 클래스는 입력장치 클래스를 상속받은 후 DirectX 를 이용하여 입력장치를 셋업 하고, 입력장치의 데이터 값을 처리한 후 VR 엔진의 API 로 값을 넘겨주기 전에 후킹하여 조이스틱을 제어할 수 있다. USB 캠 클래스는 VFW(Video for Window)를 사용하여 캠의 영상을 획득하여 버퍼에 저장한 후 VR 엔진의 디스플레이 버퍼에 값을 넘겨서 캠의 영상을 VR 엔진에서 디스플레이 할 수 있다. 이러한 방법을 통해 조이스틱, USB 캠 같은 입력장치를 VR 엔진과 호환할 수 있으며, 다른 종류의 입력장치에 대하여서도 본 연구에서 개발한 랩퍼 클래스를 상속받아 사용할 수 있다. 본 논문에서 사용한 VR 엔진은 Vega Prime 엔진이며, Vega Prime 엔진의 API 에 개발한 랩퍼 클래스를 추가하여 드라이빙, 영상인식 시뮬레이터를 개발한 결과, 효과적이고 경제적으로 입력장치의 연동이 가능함을 확인할 수 있었다.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.17-28
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• 2015

The applications program that running on Operating System has high dependence. Because environment of OS and standard libraries that supports are different. For those reason, Applications that perform the same function should be implemented in accordance with the new operating system. This results in a temporal and economic waste not only in subsequent maintenance of application but also in management. Even though, to solve this problem Cygwin or MinGW has been distributed, they do not support the portability of the application but provide a virtual environment and the tool. Therefore, in this paper, we design the wrapper format interface middleware using the POSIX and standard C library to support the application performing the same function on virtual environment and without code modification. The middleware can be selectively loading the API that is classified by basic and extend. This allows to managing the application size efficiently. Also, perform the comparative experiments and performance evaluation for application, on equipped with the Interface Middleware Linux, Unix, Windows and on Cygwin.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.10
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• pp.1943-1949
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• 2017

In recent years, the maker culture has realized the concept of 'making' itself through the latest technology of high technology. It is rapidly spreading as a maker's movement by sharing the production methods and information of individuals through the Internet. Countries that are leading the makers' movement expect the maker's movement to be the driving force for new value creation and economic growth from the point of view of things and the Internet. We are developing various types of open IoT platforms that can register various Internet devices and services manufactured and developed through DIY and realize interoperable services. Typical open IoT platforms require specialized API analysis capabilities and difficult access to general users due to difficult platform registration conditions and procedures. In this paper, we try to construct an open IoT platform that can be operated as a real service by creating a simple Internet application device and service application from a general manufacturer's point of view.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.354-357
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• 2019

최근 맞벌이 가정이 많아지면서 베이비 시터를 고용해 영아를 양육하는 경우가 많아지고 있는 추세이다. 본 논문에서는 영유아 상태분석에 따른 인공지능 베이비시터 시스템에 대하여 기술하였다. 보다 상세하게는 얼굴인식을 위한 Opencv 영상처리 기법, MS(azure)API 를 이용한 머신러닝 기반의 감정분석과 악취 센서(MQ-135 Sensor)를 이용하여 영유아의 상태를 파악한다. 파악한 영유아의 상태를 바탕으로 스스로 학습하여 요람을 제어하고 어플리케이션을 통해 원격제어를 할 수 있도록 제작한 스마트 베이비시터 시스템에 관한 것이다. 이에 따라 양육에 대한 부담감이 줄어들 것으로 기대하고 양육에 대한 부담감을 조금이나마 경감 시켜 주어 저출산과 양육 지출 비용 절약으로 사회적 측면, 경제적 측면 모두에 기여할 것을 기대한다.

• Spatial Information Research
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• v.21 no.1
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• pp.23-36
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• 2013

Recently, the VWORLD was built to ensure competition on the advance of domestic enterprise into foreign markets with rapid expansion of spatial information industry of the world. However, the policy to secure user is insufficient because the VWORLD's service is embryonic stages. Then again, tourist industry is growing rapidly and leading the world economy and number of domestic tourists are also steadily increasing. Although the size was expanded, Korean tourist industry's competition is relatively weak, so some scholars insist that raising the tourist industry's quality. This backgrounds make a study of the tourism information service. So, this paper progressed a study on the development of the tourism information service based on a service science and used VWORLD as a test model. This paper drew the customer's demands on the tourism information service and strategic points of the development from those by using a Quality Function of Deployment of service science's new service development methodologies. After that this study prioritized those strategic points. As a result, 'Face Map' that is a service model was made. Moreover, this study have try to raise the development's effectiveness and efficiency based on service science's a new service development process.

• The Journal of Bigdata
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• v.4 no.2
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• pp.23-34
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• 2019

Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.161-170
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• 2019

Multi-product mass production small and medium enterprise factories have a wide variety of products and a large number of products, wasting manpower and expenses for inventory management. In addition, there is no way to check the status of inventory in real time, and it is suffering economic damage due to excess inventory and shortage of stock. There are many ways to build a real-time data collection environment, but most of them are difficult to afford for small and medium-sized companies. Therefore, smart factories of small and medium enterprises are faced with difficult reality and it is hard to find appropriate countermeasures. In this paper, we implemented the contents of extension of existing inventory management method through character extraction on label with barcode and QR code, which are widely adopted as current product management technology, and evaluated the effect. Technically, through preprocessing using OpenCV for automatic recognition and classification of stock labels and barcodes, which is a method for managing input and output of existing products through computer image processing, and OCR (Optical Character Recognition) function of Google vision API. And it is designed to recognize the barcode through Zbar. We propose a method to manage inventory by real-time image recognition through Raspberry Pi without using expensive equipment.