• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.751-753
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• 2013

'98년 건설CALS기본계획을 바탕으로 개발된 건설CALS시스템은 건설사업관리 건설인허가 단위시스템을 시작으로 시설물유지관리 용지보상 건설CALS포탈 등 5개 단위시스템을 개발하여 운영중에 있으며 국내 900여개 이상의 건설현장 및 건설 관련 공공기관에서 사용하고 있다. 그러나 각 단위시스템의 개발 시기 도구 등이 서로 상이하여 사용자 요구사항 및 법령 개정에 따른 시스템 개편 등 외부 환경변화의 패러다임을 적용하기 어려운 실정이다. 이에 본 논문에서는 각 단위 시스템의 구조적 요소를 통일하고 외부환경의 적용이 가능한 전자정부 표준프레임워크의 적용 가능성을 분석하였다. 이는 객체 지향 중심의 웹 시스템 구조를 프레임워크 기반으로 변경하는 것으로써 시스템 재사용성이 향상되고 신규 기능 추가가 용이해지며 리소스 절감이 가능할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.37-40
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• 2013

RT-eCos 3.0은 대표적 분산 실시간 객체 모델인 TMO(Time-triggered Message-triggered Object)의 기본적 태스크 모델 실행을 위하여 eCos 3.0 기반으로 개발된 초경량 경성 실시간 임베디드 운영체제이다. 본 논문에서는 RT-eCos 3.0 기반의 다중센서 데이터 처리를 위한 모듈의 설계 및 구현에 대해 기술하며, 실시간 다중센서 데이터 처리를 위한 스케줄링 사전분석 기술에 대해서도 기술한다.

• Journal of Urban Science
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• v.11 no.2
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• pp.1-8
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• 2022

This study proposed how to identify window defects by using photos uploaded by occupants during the pre-handover inspection of mulch-family housing. A total of 1168 door images were acquired to generate training data and validation data. Subsequently, through the proposed algorithms, every pixel in images labeled a door was binarized using the OTSU threshold, and then dark pixels were identified as defects. Experimental results demonstrated that our computer vision-based defects identification method detects the door with a recall of 57.9%, and door defects with 63.6%. Although it is still a challenge to automatically identify building defects because of the distortion and brightness of photos, this study has the potential to support better defects management. Ultimately, the improved pre-handover inspection may lead to increased customer satisfaction.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.583-586
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• 2023

대량 문자서비스를 통한 스팸 문자가 계속 증가하면서 이로 인해 도박, 불법대출 등의 광고성 스팸 문자에 의한 피해가 지속되고 있다. 이러한 문제점을 해결하기 위해 다양한 방법들이 연구되어 왔지만 기존의 방법들은 주로 사전 정의된 키워드나 자주 나오는 단어의 출현 빈도수를 기반으로 스팸 문자를 검출한다. 이는 광고성 문자들이 시스템에서 자동으로 필터링 되는 것을 회피하기 위해 비정상 문자를 조합하여 스팸 문자의 주요 키워드를 의도적으로 변형해 표현하는 경우에는 탐지가 어렵다는 한계가 있다. 따라서, 본 논문에서는 이러한 문제점을 해결하기 위해 딥러닝 기반 객체 탐지 및 OCR 기술을 활용하여 스팸 문자에 사용된 변형된 문자열을 정상 문자열로 복원하고, 변환된 정상 문자열을 문장 수준 이해를 기반으로 하는 자연어 처리 모델을 이용해 스팸 문자 콘텐츠를 분류하는 방법을 제안한다. 그리고 기존 스팸 필터링 시스템에 가장 많이 사용되는 키워드 기반 필터링, 나이브 베이즈를 적용한 방식과의 비교를 통해 성능 향상이 이루어짐을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.935-938
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• 2008

DoS/DDoS 공격과 웜 공격으로 대표되는 트래픽 폭주 공격은 그 특성상 사전 차단이 어렵기 때문에 빠르고 정확한 탐지는 공격 탐지 시스템이 갖추어야 할 필수요건이다. 기존의 SNMP MIB 기반 트래픽 폭주공격 탐지 방법은 1 분 이상의 탐지 시간을 요구하였다. 본 논문은 SNMP MIB 객체의 상관 관계를 이용한 빠른 트래픽 폭주 공격 탐지 알고리즘을 제안한다. 또한 빠른 탐지 시간으로 발생되는 시스템의 부하와 탐지 트래픽을 최소화하는 방안도 함께 제시한다. 공격 탐지 방법은 3 단계로 구성되는데, 1 단계에서는 MIB 정보의 갱신주기를 바탕으로 탐지 시점을 결정하고, 2 단계에서는 MIB 정보간의 상관 관계를 이용하여 공격의 징후를 판단하고, 3 단계에서는 프로토콜 별 상세 분석을 통하여 공격 탐지뿐만 아니라 공격 유형까지 판단한다. 따라서 빠르고 정확하게 공격을 탐지할 수 있고, 공격 유형을 분류해 낼 수 있어 신속한 대처가 가능해 질 수있다.

• Korean Journal of Cognitive Science
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• v.19 no.3
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• pp.311-330
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• 2008

The effect of spatial attention gradually decreases as a function of the distance between the locus of attention and a target. According to this hypothesis, we tested the spatial-effect profile of visual attention when it operates on perception and memory. Experiment 1 measured accuracy of discriminating the color of a simultaneously masked target after presenting a pre-cue to either at the target location or away from the target (perception-intensive task). Experiment 2 measured accuracy of recognizing the color of several items at and around the pre-cued location (memory-intensive task). In the perception-intensive condition, the accuracy gradually dropped as the distance between the cue and target location increases. However, in the memory-intensive condition, subjects remembered only the item at the cued location. This suggests spatial attention in a memory-intensive process would operate on object-based representations. Experiment 2 showed the object-based effect observed in Experiment 1 can be also present in perception under a special circumstance. The results indicate that spatial attention can operate on object-based representations in a memory-intensive process whereas it flexibly can operate either on location-based or object-based representations in a perception-intensive process.

• The Journal of the Acoustical Society of Korea
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• v.37 no.1
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• pp.12-20
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• 2018

Efforts have been made to reconstruct low-resolution underwater images to high-resolution ones by using the image SR (Super-Resolution) method, all to improve efficiency when acquiring side-scan sonar images. As side-scan sonar images are similar with the optical images with respect to exploiting 2-dimensional signals, conventional image restoration methods for optical images can be considered as a solution. One of the most typical super-resolution methods for optical image is a sparse coding and there are studies for verifying applicability of sparse coding method for underwater images by analyzing sparsity of underwater images. Sparse coding is a method that obtains recovered signal from input signal by linear combination of dictionary and sparse coefficients. However, it requires huge computational load to accurately estimate sparse coefficients. In this study, a sparse coding based underwater image super-resolution method is applied while a selective reconstruction method for object region is suggested to reduce the processing time. For this method, this paper proposes an edge detection and object and non object region classification method for underwater images and combine it with sparse coding based image super-resolution method. Effectiveness of the proposed method is verified by reducing the processing time for image reconstruction over 32 % while preserving same level of PSNR (Peak Signal-to-Noise Ratio) compared with conventional method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.546-554
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• 2019

Typically, closed-circuit television (CCTV) monitoring is mainly used for post-processes (i.e. to provide evidence after an incident has occurred), but by using a streaming video feed, machine-based learning, and advanced image recognition techniques, current technology can be extended to respond to crimes or reports of missing persons in real time. The multi-CCTV cooperation technique developed in this study is a program model that delivers similarity information about a suspect (or moving object) extracted via CCTV at one location and sent to a monitoring agent to track the selected suspect or object when he, she, or it moves out of range to another CCTV camera. To improve the operating efficiency of local government CCTV control centers, we describe here the partial automation of a CCTV control system that currently relies upon monitoring by human agents. We envisage an integrated crime prevention service, which incorporates the cooperative CCTV network suggested in this study and that can easily be experienced by citizens in ways such as determining a precise individual location in real time and providing a crime prevention service linked to smartphones and/or crime prevention/safety information.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.513-522
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• 2008

Service-Oriented Architecture(SOA) is an method to develop applications by developing and publishing reusable services which potentially be used in various applications, and discovering and composing right services dynamically. SOA adopts a paradigm of publish-discover-invoke, which is considerably different from object-oriented and component-based development(CBD) approaches. The service in SOA is different from function in procedural programming, object in object-oriented programming, and component in CBD, and its fundamental requirement is a high level of reusability and applicability. In SOA, service providers and service consumers are loosely coupled since the providers try to develop reusable services and the consumers try to locate right services without knowing much about the providers and their published services. Moreover, the process of searching, choosing and invoking right services is not presented in conventional programming paradigms. Therefore, conventional approaches to developing user interfaces and invoking the functionality on servers through JSP, and RMI in object-oriented programming cannot well be applicable to designing clients’ programs in SOA. Therefore, there is a high demand for a practical and systematic process for developing clients’ applications, and the such a process should be devised by considering key characteristics of services and SOA. However, little work on this area is known to date, and there has not a process for client side just except few guide lines for developing service client. In this paper, we propose a practical and systematic development process for developing clients' applications in SOA. Then, we define instructions for carrying out each activity in the process. To show the applicability of the proposed work, we show the result of applying our process in developing a services application for searching and booking hotels.

• 대한공업교육학회지
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• v.33 no.2
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• pp.120-136
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• 2008

Using the tangible programming tools, which combines physical objects (e.g. robot) and educational programming language, may help to encourage learners' creative thinking as well as to enhance problem solving ability. That is, learners can have opportunities to simulate problem solving processes through the physical objects, such as robots. Therefore, they can minimize an fixation about problem solving process. These experience is effective to induce creative thinking that is useful to find new solutions and change environment actively. Therefore, we developed a robot based programming teaching and learning curriculum and implemented it in college level introductory programming courses. The result shows that the robot based programming learning has a positive effect in all three factors of learners' creative problem solving potential, especially in a cognitive factor. The cognitive factor includes general problem solving abilities as well as factors that explain creativity, such as divergent thinking, problem recognition, problem representation. These result means that the developed robot based programming teaching and learning curriculum give positive effect to creative problem solving abilities.