• 대한전기학회논문지:전력기술부문A
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• 제53권2호
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• pp.111-120
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• 2004

This paper presents an application of Unified Modeling Language(UML) software technique for developing transmission pricing evaluation package. Also, this paper describes a transmission pricing algorithm applicable to a large-scale power system. The usage-based transmission pricing mechanism is very complex since it requires power flow analysis, fault current analysis, sensitivity evaluation of a transmission line, penalty factors calculation, transmission asset databases, and cost allocation rules, etc. For the efficient and flexible development of the transmission pricing package, a UML. approach is applied, which is composed of a use-case diagram, interaction diagram, class diagram, and package diagram using Rational Rose Unified Process(RUP). The designed transmission pricing package can be efficiently modified and reused as the market environments evolves since it is designed by Object-Oriented Programming(OOP).

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.213-216
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• 2022

There has been an increase in video surveillance for public safety and security, which increases the video data, leading to analysis, and storage issues. Furthermore, most surveillance videos contain an empty frame of hours of video footage; thus, extracting useful information is crucial. The prominent framework used in surveillance for efficient storage and analysis is video synopsis. However, the existing video synopsis procedure is not applicable for creating an abnormal object-based synopsis. Therefore, we proposed a lightweight synopsis methodology that initially detects and extracts abnormal foreground objects and their respective backgrounds, which is stitched to construct a synopsis.

• International journal of advanced smart convergence
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• 제13권1호
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• pp.85-91
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• 2024

Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.194-197
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• 1999

In AVL, GIS analyze the information from the vehicles to provide commercial or other value far user. As spatial analysis functions in GIS make a new valuable information using the vehicle's position and geographic object's location, they perform an important roles to improve the management efficiency of vehicles. Most GIS however are used static data for the spatial analysis, so the research area on AVL used dynamic vehicle location has generated unsuitable result. In this study, we use GPS real time tracking data to perform spatial analysis between moving vehicle and static geographic object. The method proposed in this paper considers the driving direction of vehicle and creates the result which is located in forward of vehicle. In this paper, two spatial analysis functions, near and connectivity, are developed.

• 한국산학기술학회논문지
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• 제10권12호
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• pp.3668-3674
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• 2009

유즈케이스 다이어그램은 사용자와 시스템간의 상호작용을 정의하는데 사용되어 진다. 소프트웨어 개발에 있어서 사용자의 요구사항을 도출하고 정의하는 것은 가장 중요한 일중에 하나이다. 본 논문에서는 클래스 추출 및 정의를 위하여 계층화 된 유즈케이스 모델링 과정을 제안하였다. 본 논문에서 제안하는 모델링 과정에서는 먼저, 여러 계층에 걸쳐서 유즈케이스 다이어그램을 정의하고 다음단계로서 각 계층별 클래스를 추출하고자 하였다. 즉, 소프트웨어 개발에 있어서의 사용자 요구사항 정의단계에서 도출된 유즈케이스 다이어그램과 클래스 다이어그램들의 상호작용을 비교 검증함으로써 보다 효율적인 객체지향모델링 과정을 수행할 수 있게 된다.

• 한국산학기술학회논문지
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• 제12권12호
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• pp.5873-5877
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• 2011

본 논문은 안전관리 지역 내에서 아이와 같은 객체의 움직임에 대한 분석 연구이다. 안전관리 지역 내의 객체의 이상상황을 감지하여, 만일 비정상적인 상황이 감지되면 사전에 정해진 업무를 수행하도록 설계되어진다. 인적자원을 통하여 안전관리가 필요한 지역에 대해서 지속적으로 이상상황에 대한 감지업무를 수행한다는 것은 불가능한 사항이므로 이러한 감지 시스템의 도입을 통하여 안정적으로 지역의 신뢰도를 높일 수 있다. 따라서 본 논문에서는 객체의 검지를 통하여 현재의 상황을 인식하여 그에 대한 대응을 위한 것이다. 본 논문에서 제안한 방안을 통하여 센서 기반 분석시스템을 이용하여 객체의 이동상황 및 이상상황 감지를 수행한다.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.230-235
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• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1999년도 가을 학술발표논문집 Vol.26 No.2 (2)
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• pp.350-352
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• 1999

하위레벨 이미지프로세싱(Low-Level Image Processing)과 이미지인식과 해석을 주로하는 상위레벨 이미지프로세싱(High-Level Image Processing)의 접목은 현존하는 기술과 연구소서는 상대적으로 접목이 힘들며 아직까지도 많은 연구가 진행되고 있다. 후자에 더 가까운 접근을 위해서 본 논문에서는 특정 이미지를 인식하는 과정에서 모양-기반 객체(Shaped-Based Object)와 기계학습(Machine Learning) 이론을 바탕으로 두 분야의 연관을 시도하였다. 이미지 내의 객체에 대한 기하학적인 특징을 얻기 위해서 모양-기반의 특징값 추출방법을 제시하고 있으며, 보다 발전된 인식을 위해서 기계학습이론을 적용시키고 있다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.903-906
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• 1998

We propose a new method for merging partical regions which have similar motion characteristics. In the proposed method, the trajectories of each partial regions are computed and the regions consisting a same object are merged by a similarity function defined in this paper. The similarity function is defined to take into consideration the motion characteristics of the trajectories. The proposed method shows good performance when the regions of an object show little variation in size and shape.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.11-13
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• 2010

Combined with the indeterminate boundaries of spatial objects, n:m correspondences makes an object-based matching be a complex problem. In this study, we model the boundary of a polygon object with fuzzy model and describe their overlapping relations as a weighted bipartite graph. Then corresponding pairs including 1:0, 1:1, 1:n and n:m relations are identified using a spectral singular value decomposition.