• 한국주거학회논문집
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• 제18권1호
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• pp.83-93
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• 2007

Following the previous ones, this study is intended to explore methods of qualitative assessment on the view from apartment units. It first complemented and analyzed the attributes of landscape elements and then set up questionnaire items based on these attributes to identify the tendencies in apartment inhabitants' recognition of landscape elements, and then conducted a preference assessment on the test cases sampled on the basis of picture and other data collected in the previous studies to identify the characteristics of the preference for the view from apartment units according to landscape elements. Consequently, the following results have been derived. First, the landscape elements seen from apartment units may be classified into a total of sixteen categories, and the overall ratio of natural elements to artificial ones is shown to be approximately one to three. Second, it is also shown that apartment dwellers tend to prefer natural landscape elements over artificial ones, and the preferences for the distance to and location of landscape elements exhibit certain variance depending on the type of the elements. Third, the analysis of the preference for landscape elements has revealed that the types of landscape elements, the make-up and diversity of landscape elements, and the perceived distance to landscape elements as well as the resultant feeling of openness all affect the preference tendencies.

• 한국멀티미디어학회논문지
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• 제21권7호
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• pp.755-763
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• 2018

In this paper, for recognize a night pedestrian from an infrared video, a new method differentiated from the existing feature vector is proposed and experimented. The new approach focuses on the shape feature vector of the structure and shape of the pedestrian image divided by the human body seven split ratio. The pedestrian images are divided into 7 square blocks from the still image of the preprocessing process. And to reduce the dimension, the square block is converted into a mosaic block. The scalar and direction of the shape feature vector is calculated by the brightness and position of the element in the mosaic. For practicality of infrared video system, the proposed method simplifies the data to be processed by reducing the amount of data in the preprocessing in order to continuously batch process the entire system in real time. Through the experiments, we verified the validity of the proposed shape feature vector. In comparison to the existing method, we propose a new shape feature vector generation method as the feature vector for night pedestrian recognition.

• 디지털융복합연구
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• 제12권11호
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• pp.499-504
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• 2014

본 연구는 텔레비전 뉴스의 시각적 요소인 인포그래픽이 수용자의 뉴스 기억과 이해에 어떤 영향을 미치는지 살펴본 실증연구이다. 본 실험을 위하여 87명의 대학생들로 구성된 피험자 집단을 인포그래픽의 유무에 따라서 2집단으로 나누어 KBS뉴스9에서 추출한 5개의 뉴스에 노출시킨 후, 설문조사에 응답하게 하여, 피험자들의 재인기억, 회상기억, 뉴스 이해 정도를 측정하여 분석하였다. 분석결과 인포그래픽이 있는 뉴스에 노출된 피험자들은 인포그래픽이 없는 뉴스에 노출된 피험자들보다 회상기억을 더 잘하였으며, 뉴스 이해도가 더 높게 나타났다. 그러나 이항식 답변을 요구한 재인기억에 있어서는 두 집단 간 유의미한 차이가 나타나지 않았다.

• 동아시아식생활학회지
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• 제21권3호
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• pp.401-417
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• 2011

The purpose of this study was to investigate consumer concerns about hazardous elements on foods and recognition of the roles of government, food producers, and consumers in securing food safety. The data were collected from the 443 adult consumers living in Seoul, Busan, Daegu, Incheon, Kwangju and Daejeon through a self-administered questionnaire. Frequencies, t tests, analysis of variance and Duncan's multiple range tests were conducted using SPSS Windows. The results of the survey were as follows: (1) the respondents were worried about health risks related to hazardous elements on foods, (2) many respondents were more worried about preservatives of imported foods than those of domestic foods, and (3) most respondents mentioned that observance of enforcement regulations by producers was the most important factor for ensuring food safety in the future. These results imply that regulations regarding the safety of imported foods should be increased.

• 디지털콘텐츠학회 논문지
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• 제19권1호
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• pp.173-179
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• 2018

최근 차량의 증가와 주차공간의 부족으로 주차를 이용한 사업이 늘어나고 있다. 주차사업에서 주차관제가 필수적인 요소가 되고 있고, 주차관제업체가 점점 늘어나는 계기가 되었다. 그러나 업체수가 점점 늘어나고 경쟁이 치열해 짐에 따라, 새로운 서비스를 창출하거나, 기술적 우수성을 가지거나, 현재 시스템 개선을 통해서 비용을 절감하려는 노력이 이루어지고 있다. 본 논문에서는 효과적인 주차산업을 위한 클라우드 기반의 자동차번호인식(LPR) 서비스를 이용한 주차관제시스템을 구현하였다. 제안하는 시스템은 구조적인 개선을 통해 비용을 절감하고, 설치를 간소화 하며, 장애나 업데이트시 빠르게 대응 가능하다.

• Journal of the Optical Society of Korea
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• 제8권4호
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• pp.174-181
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• 2004

Various kinds of systems, that can do target recognition and position detection simultaneously by using infrared sensing detectors, have been developed. In this paper, the detection system TRSS (Thermal target Recognition by Spiral Scanning) adopts linear array shaped uncooled IR detector and uses spiral type fast scanning method for relative position detection of target objects, which radiate an IR region wavelength spectrum. It can detect thermal energy radiating from a 9 m-size target object as far as 200 m distance. And the maximum field of a detector is fully filled with the same size of target object at the minimum approaching distance 50 m. We investigate two types of lens systems. One is a singlet lens and the other is a doublet lens system. Every system includes one aspheric surface and free positioned aperture stop. Many designs of F/1.5 system with ${\pm}5.2^{\circ}$ field at the Efl=20, 30 mm conditions for single element and double elements lens system respectively are compared in their resolution performance [MTF] according to the aspheric surface and stop position changing on their optimization process. Optimum design is established including mechanical boundary conditions and manufacturing considerations.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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• pp.37-40
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• 2001

The most important issues in gesture recognition are the simplification of algorithm and the reduction of processing time. The mathematical morphology based on geometrical set theory is best used to perform the real-time processing. A key idea of the algorithm proposed in this paper is to apply morphological shape decomposition. The primitive elements extracted from a hand gesture have very important information including the directivity of the hand gestures. Based on this algorithm, we proposed the morphological hand-gesture recognition algorithm using feature vectors extracted from lines connecting the center points of a main-primitive element and sub-primitive elements. Through the experiments, we applied to the video contents browsing system with natural interactions and demonstrated the efficiency of this algorithm.

• International journal of advanced smart convergence
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• 제6권4호
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• pp.19-25
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• 2017

After 40 years of age, the saliva glands are aged and the saliva is not made enough to cause xerostomia symptoms. Side effects such as hypertension medication or diuretics that the elderly take mainly can cause xerostomia syndrome. In addition, autoimmune diseases, diabetes, anemia, depression and other common diseases that cause xerostomia symptoms. If the saliva secretion is insufficient, tooth decay and gum disease are likely to occur, and the digestive ability of the saliva is also reduced due to the lack of amylase, which is a digestive element. Once the degenerated salivary gland is restored to its normal state, it is difficult to recover. In this paper, we give electrical stimulation to the masseter which is in contact with the large pituitary gland, and stimulate the salivary gland to the utmost by using speech recognition using words corresponding to oral gymnastics. Use the STM32F407VG to implement a system to relieve xerostomia.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2016년도 제54차 하계학술대회논문집 24권2호
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• pp.113-116
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• 2016

본 논문에서는 사람의 수작업을 통해서 작업을 하고 있는 도로 노면 문자 도색 작업을 자동화하기 위해 문자의 요소 인식과 인식한 결과로 문자 구성 정보를 전달하고, 이 정보를 이용하여 문자를 도색하는 프로그램을 구성하여 도로 노면 문자 도색 모의실험을 수행하였다. 정보처리기기에 프로그램을 구성하여 작업할 문자들을 입력 받아, 이미지 변환과 세선화와 역세선화를 거쳐 만들어진 영상에서 끝점, 2모음점, 3선 이상 모음점, 고립점 등 특징 점들을 추출하고 특징점들을 이용하여 글자를 인식하고, 특징점들을 이용하여 만든 정보를 도로 노면 문자 도색용 장비로 보낸다는 가정 하에 도색 프로그램을 수행 후, 나타난 결과를 피드백 하여 도색 프로그램을 수정하여 도로 노면 문자 도색 작업에 쓸 수 있는 성능의 결과를 구성하였다.

• 대한기계학회논문집B
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• 제26권10호
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• pp.1445-1450
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• 2002

In the present study, a new pattern recognition algorithm was proposed to size spray particles using the boundary curvature information. Conceptually, this algorithm has an advantage over the others because it can identify the particle size and shape simultaneously, and also can separate the overlapped particles more effectively. Curvature of a boundary was obtained from the change of the slopes of two neighboring segments at the corresponding part. The algorithm developed in this study was tested by using an artificially prepared image of a group of spherical particles which were either isolated or overlapped. Particle sizes obtained from the measured curvatures agreed well with the true values. By detecting abrupt changes of the curvature along the image boundary, the element particles could be separated out from their overlapped images successfully.