• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.387-389
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• 2010

유비쿼터스 컴퓨팅 환경에서 다양한 위치 기반 서비스(LBS)를 위해 객체 위치 인식은 필수적인 기술이다. 객체의 위치를 판별하기 위해서 GPS 시스템, 다수의 RF 신호 세기를 이용한 시스템이 이용되고 있다. GPS 시스템의 경우 고가의 수신기가 필요하며 실내 측위 환경에서 활용될 수 없으며, RF 신호를 이용한 위치 인식 시스템의 경우 빠른 신호 속도와 페이딩의 영향으로 충분한 신호의 해상도확보하기 어렵다. 하지만 상대적으로 느린 초음파를 이용한 경우 신호의 해상도가 높아 RF 기반 위치 측위 시스템보다 높은 정확도의 위치 인식이 가능하다. 초음파를 이용한 위치 인식 기술은 RF 통신을 통해 해당 초음파의 정보를 식별하고, 초음파와 RF 신호의 도달 시간의 차를 이용해 위치를 판별한다. 본 논문에서는 초음파 신호 부호화 기법을 통해 RF 통신 모듈 없이 다중 객체의 위치를 인식하는 시스템을 설계하고 구현한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.851-853
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• 2003

기존의 LMS(Learning Management System)는 학습자의 의도와 무관하게 처음부터 끝까지 모든 교육 내용을 모두 학습하게 구성됨으로써 온라인 교육의 목표인 언제 어디서든 이라는 원칙이 구현되지 못하고 있다. 또한 학습자가 요구하는 내용으로 수정 및 보완이 용이하지 않고, 개발 시간이 느리고 비용이 많이 소요된다. 따라서 학습자 요구에 맞는 교육컨텐트를 개발하려면 LCMS(Learning Content Management System)기반으로 교육코스를 개발하는 저작도구가 필수적이다. 본 논문에서는 학습자 요구에 맞는 교육과정을 개발하고, 교육의 효율성을 극대화 시키는 방법으로 학습객체 단위로 CDT-L(Course Development Tool-Learning Content Management System)을 개발하고자 한다. 또한 다른 객체와의 관계등을 생성함으로써 학습자에게 꼭 필요한 정보를 찾을 수 있도록 해주어 이를 통해 학습자 중심의 학습을 가능케 한다. 학습자의 특성을 고려한 맞춤식 교육 코스 구성으로 앞으로는 자신이 원하는 과정을 선택하고 학습자에게 맞는 코스 강의로 강의가 이뤄지는 것을 가능하게 하기 위해 코스와 학습객체에 대한 메타데이터를 표준 문서인 SCORM 1.2에 기반하여 정의한다. 정보를 가지고 있는 학습객체를 선택하여 파일과 정보를 저장한 식별하기 위하여 검색을 한다. COT-L의 구현을 통해 컨텐트 재활용도를 높이면서 교육과정의 개발시간과 비용을 줄일 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.414-418
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• 2010

일반적으로 넓은 공간상에서 시간의 흐름에 따라 변화하는 이동객체의 '위치 정보'를 기반으로 사용자의 작업과 관련 있는 적절한 정보 또는 서비스를 제공하는 경우 이를 위치 추적(인식) 시스템으로 정의한다. RFID, USN, RTLS, GPS는 위치 인식 시스템의 대표적인 기술이며 해양, 농촌, 병원, 건축 등의 다양한 분야에서 적용 확산이 빠르게 진행되고 있다. 이러한 기술은 유비쿼터스 컴퓨팅의 핵심 기술로서 현대사회의 관심이 집중되고 있는 아동실종, 도난, 학교폭력 등의 문제를 해결하는데 적용될 수 있다. 본 논문에서는 이동객체를 모니터링하기 위한 접근법을 분석하고 이를 기반으로 RFID를 이용한 학생 이동 관리 시스템의 구축 내용을 기술한다. 이 시스템은 RFID로부터 획득되는 이동객체(학생)에 대한 실시간 데이터를 업무에 적절한 정보로 변환하여 사용자에게 알려준다. 이 시스템을 구축함으로써 관리자는 학교내부의 학생 위치를 실시간으로 식별 할 수 있고 미리 설정된 제한구역에 접근하는 학생을 신속하게 인지 할 수 있다. 또한 과거의 이력정보를 검색 할 수 있음으로써 실종, 도난 등에 대한 사후예측이 가능해짐에 따라 수동적이었던 학생 관리에 비해 융통적인 관리의 효과가 있고 안전한 학교생활을 학생들에게 제공해 줄 수 있게 된다.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.293-307
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• 2003

Object-oriented development has been generalized, but object-oriented project planning and scheduling techniques have not been studied enough. Furthermore, it is difficult to apply the conventional software management techniques to object-oriented projects. Especially, the large scaled projects are increasing, but the project planing techniques for these large scaled projects have not been proposed enough. In this paper, we propose systematic techniques for OO based project scheduling. We suggest a 7 step-process for deriving the OO project schedule from the use-case diagram which is describing the functional requirements of the system. The proposed process includes identifying use-cases, drawing preliminary chart through interdependency analysis, identifying characteristics of each use case, determining the number of iteration, assigning use-cases to iteration, considering available resource and constraints, drawing revised PERT chart. Each step has the explanation of the input, output, and the guidelines needed to perform the step. The project scheduling technique proposed in this paper ran be used effectively in the planning phase which the purpose is to plan a development schedule to yield the high quality software in minimum time.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.152-161
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• 2017

Making precise 3D maps using Mobile Mapping System (MMS) sensors are essential for the development of self-driving cars. This paper conducts research on the extraction of 3D objects around the roads using the point cloud acquired by the MMS Light Detection and Ranging (LiDAR) sensor through the following steps. First, the digital surface model (DSM) is generated using MMS LiDAR data, and then the slope map is generated from the DSM. Next, the 3D objects around the roads are identified using the slope information. Finally, 97% of the 3D objects around the roads are extracted using the morphological filtering technique. This research contributes a plan for the application of automated driving technology by extracting the 3D objects around the roads using spatial information data acquired by the MMS sensor.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.1-10
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• 2019

Object-based image matching algorithms have been widely used in the image processing and computer vision fields. A variety of applications based on image matching algorithms have been recently developed for object recognition, 3D modeling, video tracking, and biomedical informatics. One prominent example of image matching features is the Scale Invariant Feature Transform (SIFT) scheme. However many applications using the SIFT algorithm have implemented based on stand-alone basis, not client-server architecture. In this paper, We initially implemented based on client-server structure by using SIFT algorithms to identify and match objects in biomedical images to provide useful information to the user based on the recently released Mobile platform. The major methodological contribution of this work is leveraging the convenient user interface and ubiquitous Internet connection on Mobile device for interactive delineation, segmentation, representation, matching and retrieval of biomedical images. With these technologies, our paper showcased examples of performing reliable image matching from different views of an object in the applications of semantic image search for biomedical informatics.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.1-10
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• 2022

Visually impaired people have very difficulty using retail stores due to the absence of braille information on products and any other support system. In this paper, we propose a basic algorithm for a system that recognizes products in retail stores and explains them as a voice. First, the deep learning model detects hand objects and product objects in the input image. Then, it finds a product object that most overlapping hand object by comparing the coordinate information of each detected object. We determine that this is a product selected by the user, and the system read the nutritional information of the product as Text-To-Speech. As a result of the evaluation, we confirmed a high performance of the learning model. The proposed algorithm can be actively used to build a system that supports the use of retail stores for the visually impaired.

• Journal of Korea Multimedia Society
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• v.11 no.5
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• pp.710-727
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• 2008

Service-oriented computing systems have been issued by their properties of reducing software development time and effort by reusing functional service units. The reusability of services can effectively promote through loose coupling between services. But strong associations of object-oriented systems such as inheritance and aggregation create a rather tight coupling between objects. The component-based systems without inheritance and aggregation create a loose coupling between components. Thus components provide service realization at runtime using the functionality provided by their interfaces. Therefore legacy component-based systems need to have service-oriented computing concept in order to support functional service units efficiently. Also, conventional methods for service-oriented computing system have not suggested the clear classification of service layers, the clear service identification guideline introducing service layers and a service mapping method between serviceces of each layer. Therefore we suggest the service classification and the identification guideline of business view and implementation view introducing layers and propose a mapping between two views. That is, we research service layers, service identification, diversified service sizes and a service mapping method between services of each layer. This can be applied to legacy component-based system to extend to the service-oriented computing system.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.153-161
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• 2019

Discrimination of media object segments in wireless home proxies has a significant impact on caching delay, and caching delay degrades the performance of the proxy. In this paper, we propose a Single Fetching Smart Caching (SFSC) strategy and a Multi-Fetching Smart Caching (MFSC) strategy to improve the proxy performance of the home network and improve the caching performance for media object segments. The SFSC strategy is a technique that performs caching by sequential fetching of object segments requested by the home node one at a time, which guarantees a faster cache hit rate, and the MFSC strategy is a technique that caches the media object segments by blocking object segments requested by the home node one at a time, which improves the throughput of cache. Simulation results show that the cache hit rate and the caching delay are more efficient than the MFSC technique, and the throughput of the object segment is more efficient than that of the SFSC technique.

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.126-132
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• 2023

Object recognition is a technology that detects and identifies various objects in images and videos. LBP is a descriptor that operates robustly to illumination variations and is actively used in object recognition. LBP considers the range of neighboring pixels, the order of combining the neighbors after the comparison operation, and the starting position of combining. In particular, the starting position of the LBP becomes the "most significant bit"; it dramatically affects the performance of object recognition. In this paper, based on the N starting positions, the data most similar to the input data are searched in each of the N feature spaces. Object recognition is performed by the confidence measure that can compare different results of each feature space under the same criterion and select the most reliable result. In the experimental results, it was confirmed that there is a difference in performance depending on the starting position of LBP. The proposed method showed a high performance of up to 12.66% compared to the recognition performance of the existing LBP.