• Journal of Mechanical Science and Technology
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• 제15권3호
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• pp.300-308
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• 2001

Tracking of moving objects within video streams is a complex and time-consuming process. Large number of moving objects increases the time for computation of tracking the moving objects. Because of large computations, there are real-time processing problems in tracking of moving objects. Also, the change of environment causes errors in estimation of tracking information. In this paper, we present a new method for tracking of moving objects using optical flow motion analysis. Optical flow represents an important family of visual information processing techniques in computer vision. Segmenting an optical flow field into coherent motion groups and estimating each underlying motion are very challenging tasks when the optical flow field is projected from a scene of several moving objects independently. The problem is further complicated if the optical flow data are noisy and partially incorrect. Optical flow estimation based on regulation method is an iterative method, which is very sensitive to the noisy data. So we used the Combinatorial Hough Transform (CHT) and Voting Accumulation for finding the optimal constraint lines. To decrease the operation time, we used logical operations. Optical flow vectors of moving objects are extracted, and the moving information of objects is computed from the extracted optical flow vectors. The simulation results on the noisy test images show that the proposed method finds better flow vectors and more correctly estimates the moving information of objects in the real time video streams.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.48-51
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• 1997

The purpose of this paper is to propose a method to protect the drowsiness of a driver. We measured the physiological signals, response time, and ace expression of the subjects in normal and drowsy state. Those data are used to establish the drowsiness index and fuzzy system. We employed the computer vision technology to extract and eye, track eyelids and measure the parameters related to drowsiness. These parameters were ed into the fuzzy system to decide the drowsiness level, When the drowsiness was detected, the fuzzy system generated warning signals which cons ist of sound and fragrance. Our system was available in decision of the drowsiness level and improvement of subjects' state.

• 가정과삶의질연구
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• 제21권3호
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• pp.123-131
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• 2003

The potential of information and communication technologies has already had a profound impact on many ways of our living and society. To catch up with this trend, Korean government has demonstrated the vision for informatization called‘Cyber Korea 21'/'e-Korea’project and has fully supported the education for informatization which is one of the key factors to reduce the digital divide. But, In spite of developing a variety of training programs with different target groups and policy objectives, a digital divide remains in some cases even while Internet access and computer ownership are rising rapidly for almost all groups. For example, the noticeable divides still exists between men and women. To accelerate the process of women informatization, which we believe to be major contributors for the high quality of life for women, we need to promote full-time housewives to become aggressive information users and producers. Internet shopping, for example, might be a good starting point for motivating women to become active information users. In this paper, we present a model for explaining the factors affecting the degree of satisfaction of housewives from internet shopping. Based on data collected from a questionnaire survey from housewives in Seoul, we conclude that the perceived usefulness, ease of use and the playfulness significantly affect the level of satisfaction, but the playfulness does not directly affect the intention to revisit and purchase. In addition, we found out that the perceived usefulness is affected by efficiency, attitude and easy to access. We also provide other interesting statistical results and implications.

• 한국게임학회 논문지
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• 제14권5호
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• pp.79-86
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• 2014

증강현실 기술을 게임에 접목하려는 시도가 많이 이루어지고 있다. 본 논문에서는 실시간으로 스마트 기기의 카메라로부터 손동작 2차원 영상을 획득하고 HSV 컬러 영역을 활용하여 해당 색상의 물체 또는 신체를 실시간으로 검출해, 게임의 요소로 활용하여 즐길 수 있는 2D 퍼즐게임을 개발하였다. 이는 스마트 기기에 컴퓨터 비전을 접목한 형태의 게임으로, 교육 및 엔터테인먼트 환경에서 스마트 기기의 휴대성과 가상현실 체험의 현장감을 접목시킨 새로운 인터랙티브 기술이 될 것이다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1996년도 춘계학술대회 논문집
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• pp.24-29
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• 1996

The seniconductor, which is precision product, requires many inspection processes. The surface conditions of the semiconductor chip effect on the functions of the semiconductors. The defects of the chip surface is crack or void. Because general inspection method requires many inspection processes, the inspection system which searches immediately and preciselythe defects of the semiconductor chip surface. We propose the inspection method by using the computer vision system. This study presents an image processing algorithm for inspecting the surface defects(crack, void)of the semiconductor test samples. The proposed image processing algorithm aims to reduce inspection time, and to analyze those experienced operator. This paper regards the chip surface as random texture, and deals with the image modeling of randon texture image for searching the surface defects. For texture modeling, we consider the relation of a pixel and neighborhood pixels as noncasul model and extract the statistical characteristics from the radom texture field by using the 2D AR model(Aut oregressive). This paper regards on image as the output of linear system, and considers the fidelity or intelligibility criteria for measuring the quality of an image or the performance of the processing techinque. This study utilizes the variance of prediction error which is computed by substituting the gary level of pixel of another texture field into the two dimensional AR(autoregressive model)model fitted to the texture field, estimate the parameter us-ing the PAA(parameter adaptation algorithm) and design the defect detection filter. Later, we next try to study the defect detection search algorithm.

• JSTS:Journal of Semiconductor Technology and Science
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• 제13권2호
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• pp.157-169
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• 2013

Scale Invariant Feature Transform (SIFT) generates image features widely used to match objects in different images. Previous work on hardware-based SIFT implementation requires excessive internal memory and hardware logic [1]. In this paper, a new hardware organization is proposed to implement SIFT with less memory and hardware cost than the previous work. To this end, a parallel Gaussian filter bank is adopted to eliminate the buffers that store intermediate results because parallel operations allow all intermediate results available at the same time. Furthermore, the processing order is changed from the raster-scan order to the block-by-block order so that the line buffer size storing the source image is also reduced. These techniques trade the reduction of memory size with a slight increase of the execution time and external memory bandwidth. As a result, the memory size is reduced by 94.4%. The proposed hardware for SIFT implementation includes the Descriptor generation block, which is omitted in the previous work [1]. The addition of the hardwired descriptor generation improves the computation speed by about 30 times when compared with the previous work.

• 한국측량학회지
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• 제20권1호
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• pp.93-101
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• 2002

정보화 사회의 진전에 따라 행정업무의 효율화와 대민 서비스의 제고를 위해서, 중앙정부와 서울시 또는 자치구별로 각각의 필요성에 따라 토지관련 정보화 사업이 추진되고 있다. 그러나 토지관련 자료의 저장, 유지관리, 교환 등 정보화에 많은 문제점의 발생이 예상되므로, 서울시 및 자치구의 정보화 수요를 충족시키고, 중복 투자의 위험을 예방하기 위해서, 서울시 토지관련 정보화 기반 구축방안을 제시하는 데 본 연구의 목적이 있다. 이념적으로는 UN의 지속 가능한 토지의 관리를 배경으로 하고, 기술적으로는 정보화와 지리정보체계(GIS) 이론을 중심으로 하며, 자료의 공유, 표준화를 도모한다. 지속 가능한 토지관리, 지적의 미래 비젼(Cadashe 2014) 등 검토하고, 국내외 토지관련 정보화 사례 분석하여, 데이터간 상호 연계방안, 조직 및 제도 개선 방안, 인력양성 방안 등이 효율적인 토지관련 정보화 추진방안으로 제시되었다.

• 대한조선학회논문집
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• 제56권1호
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• pp.66-74
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• 2019

In the field of shipbuilding design, the use of 3D CAD is becoming commonplace, and most of the large shipyards are conducting 3D design. However at the production site, workers are still working on 2D drawings rather than 3D models. This tendency is even worse in small-scale shipyards and block manufacturing shops. Particularly, in a manufacturing shop that is engaged in the outsourcing of blocks, it may not be possible to provide 3D model. However, the demand for 3D models in the production field is steadily increasing. Therefore, it would be helpful if 3D model could be generated from a 2D drawing. In this paper, we propose a method to extract template and unfolded surface shape information from shell template offset drawing using computer vision technology. Also a 3D surface model was reconstructed and visualized from the extracted information. The result of this study is thought to be helpful in the work environment where 3D model information can not be obtained.

• International journal of advanced smart convergence
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• 제8권1호
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• pp.44-57
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• 2019

Most banks in Korea have provided Internet banking services based on PKI(Public Key Infrastructure) certificates since the early 2000s when Internet banking began in Korea. To support PKI Internet banking, the Korean government backed the electronic signature law and supported the rapid spread of PKI-based Internet banking by regulating the application of PKI certificates to be compulsory in Internet banking until 2015. PKI Internet Banking in Korea has been developed as a pioneer in this field through many challenges and responses until its present success. Korea's PKI banking, which started with soft-token-based closed banking, has responded to various types of cyber attack attempts and promoted the transition to open banking by accepting various criticisms due to lack of compatibility with international standards. In order to improve the convenience and security of PKI Internet banking, various attempts have been made, such as biometric-integrated smartphone-based PKI authentication. In this paper, we primarily aim to share the experience and lessons of PKI banking by analyzing the evolution process of PKI Internet banking in Korea. It also has the purpose of presenting the challenges of Korea's PKI Internet banking and sharing its development vision.

• 전기전자학회논문지
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• 제25권1호
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• pp.83-87
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• 2021

자율주행 및 인공지능 CCTV는 안개와 같은 악조건 상황에서 주변의 사물과 사람인식에 대한 카메라의 가시성 및 검출 능력이 저하된다. 이러한 악조건 상황에서도 중요한 정보를 정확하게 얻기 위해서 안개 제거 알고리즘에 대한 연구가 필요하다. 과거부터 현재까지 안개 제거 기술은 컴퓨터 비전/ 데이터 기반 등 다양한 방법을 이용한 연구가 진행되고 있다. 안개 제거 기술 중에서 입력영상에 대한 깊이 정보를 통한 안개 전달량을 추정하는 방법이 중요하다. 본 논문에서는 영상의 특징 DCP, saturation∗value, sharpness가 깊이정보와 선형관계에 있다는 가정을 통해 선형모델을 제시한다. 제안한 선형모델을 통한 안개제거방법은 기존의 방법들과 정량적 수치평가에서 평균적으로 10% 향상된 결과를 보여주며 알고리즘의 성능의 우수성을 증명하였다.