• 복식
• /
• 제45권
• /
• pp.103-120
• /
• 1999

The purpose of the study is to show concretely the design features due to cltohes image after classifying the clothes image examining relations between clothes images and design factors. Samples of the study were 507 female university students. Materials of the study were 309 slide film using the spring and fall issues of magazines and catalogues in 1996 and 1997. SAS PC was used to analyze materials and finally priniciple component analysis the analysis by quantification theory 1. The results of the study were as follows. The most important images of clothes were fashion dignity activation and simplicity. In the relationship between the main image and item factor, one-piece jumper half-coat culotte skirt pantaloons and slim pants had an important effect on the fashion image while two-piece jacket, blouse, straight pants had an effect on the dignity image and three-pice, T-shirt, shirt-vest pantaloons normal pants culoote skirt and gather skirt strengthen active image. In the relationship between the main image and silhuette X-silhouette fitting upper and lower clothes upper clothes having waist line or hip bone length and mini-skirt were the factors that raisen fashion image. And in the A-, X-, Y-silhouette having normal fit upper clothes below the knee length skirt and the upper clothes below the hip line were main factors in dignity image. And H-silhouette big size sleeves mini-skirt the upper clothes below hip line were the factors that strengthened the active image. In the relationship between fashion image and detailed factors roll stand and sports collar set-in and shirt sleeves having 5-rate and long sleeves strengthened fashion image. And flat tailored collar boat and high nceckline and bow detail set-i sleeve had an important effect on the dignity image. And shirt collar boat and V-neckline shirt dolman and 7-rate sleeves were the factors that raise active image.

• 한국조경학회지
• /
• 제32권1호
• /
• pp.57-68
• /
• 2004

The purpose of this paper is to discover the Image and Visual Preference of the Environmental Sculpture in Urban Streetscape. For this, the analysis was preformed by the data obtained from questionnaires and from the photos of the environmental sculptures scene. The landscape image was analyzed by the factor analysis algorithm. The level of visual preference was measured by a slide simulation test, and this data was analyzed by multiple regression. The results of this study can be summarized as follows: The visual preference of the environmental sculpture has been evaluated to average 4.03 on a scale of 7 Landscape slides No. 11 and No.5 were ranked more highly for visual preference. Factors formulating the landscape image were found to be 'beauty', 'orderliness', 'emotion', and 'formation'. By using the control method for the number of factors, T.V., were obtained as 63.0%. For all experimental landscape slides, the factor of orderliness was found to be the main factor determining the visual preference. The 4 factors for visual preference were analyzed by regression as follows: Visual Preference = 3.996 + 0.341(FS1) + 0.595(FS2) + 0.222(FS3) + 0.011(FS4), R-Square = 0.520.

• 한국조경학회지
• /
• 제27권2호
• /
• pp.108-118
• /
• 1999

This study aims to apply World Wide Web(WWW) image files to visual material in lectures. Especially handles "Aesthetics of Landscape Architecture." Visual Materials of 800 web sites were searched and analyzed. It is found that web search needs a subject oriented web guide. It says now a need of application web material to lectures. Matching the web images with the subjects of lecture, above all, is the main approach of this study. Thus, a list up method is supposed, series of web image data to be inclusive in two tables. The data distribute on sub-subject, and applicant as materials in picturing objects of slide show, web guide, and single image. Two cases of lecture subjects were chosen in this study. A case that needs various visual materials and other case of advanced materials that needs a special web guide. Chance of results of this study is not yet fully clear in real lecture. It is sure, as an article of cyber lecture that provided result of increasingly participant's interest. By this study, it will be possible a fully made lecture material by further study.her study.

• 한국안전학회지
• /
• 제11권1호
• /
• pp.133-141
• /
• 1996

In spite of a tendency automatizing manaufacturing processes, since power presses are highly repetitive at high speeds, they have still been using to a large extent in many industries. More often than not, press workers have to make decisions whether work materials are located well or not, they should rearrange them or not, and their bodies would be safe or not. If the decision would be wrong, of course, they cause severe damages to human workers so that many workers haven't been willing to work with them. However, with the help of computer technologies, it would be possible to aid the press workers' decisions, and to allow or prohibit them from inserting their hands between slide rams and dies. Thus, this research was aimed to evaluate and analyze possibilities of applying Image Processing Techniques for prevention of press accidents. Through a series of procedures including Capturing work sites and material, Image Enhancement, Contouring, and Edge Finding, work characteristics were obtained and analyzed. The results showed that there were somewhat differences in image characteristics between accident-induced work scenes and accident-free ones. Consequently, if the image analyses are well carried out in real time, they would give a successful help to human press workers.

• 한국수학교육학회지시리즈A:수학교육
• /
• 제46권3호
• /
• pp.273-292
• /
• 2007

The purpose of this study was to find out how second, fourth and sixth graders understood the main contents related to spatial sense in the Seventh National Mathematics Curriculum. For this purpose, this study examined students' understanding of the main contents of congruence transformation (slide, flip, turn), mirror symmetry, cubes, congruence and symmetry. An investigation was conducted and the subjects included 483 students. The main results are as follows. First, with regards to congruence transformation, whereas students had high percentages of correct answers on questions concerning slide, they had lower percentages on questions concerning turn. Percentages of correct answers on flip questions had significant differences among the three grades. In addition, most students experienced difficulties in describing the changes of shapes. Second, students understood the fact that the right and the left of an image in a mirror are exchanged, but they had poor overall understanding of mirror symmetry. The more complicated the cubes, the lower percentages of correct answers. Third, students had a good understanding of congruences, but they had difficulties in finding out congruent figures. Lastly, they had a poor understanding of symmetry and, in particular, didn't distinguish a symmetric figure of a line from a symmetric figure of a point.

• 한국산림과학회지
• /
• 제94권6호
• /
• pp.377-386
• /
• 2005

김해시 상동면 매리 산사태지의 발생특성을 밝히기 위한 일련의 연구를 진행중에 있으며, 본보에서는 지반조사, 시추공내영상촬영, 탄성파탐사 및 실내시험 후 안정해석을 실시하였다. 안정해석결과, 영역 I 지역은 집중호우 시 땅밀림 산사태가 발생될 위험이 있으므로 계측기를 설치하여 지표의 변위발생을 모니터링하고, 변위가 발생될 경우 긴급복구가 필요한 지역으로 판단된다. 영역 II는 토사유실이 장기간 지속될 경우 붕괴(slope failure)가 예상되므로, 향후 지속적인 관찰과 보수가 필요할 것으로 사료된다. 영역 Ill은 상부로부터 집수되는 지표수 배제 및 상부 너덜(talus)지역으로부터 침투된 지하수의 배제를 위한 시공이 필요할 것으로 사료된다. 영역 IV는 현재 안정한 지역으로 가능하면 절취 등 훼손이 발생하지 않도록 하는 것이 바람직할 것이다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2001년도 ICCAS
• /
• pp.150.1-150
• /
• 2001

This paper introduces a real time inspecting and monitoring system by using wireless communication and image processing technique. The communication system is developed by using 80c196kc microprocessor and it has data acquisition function for several kinds of sensors such as pluviometer, temperature, tension meter, elinometer and so on. The image processing method adopts Lalacian of Gaussian operator and least square method to extract line features for the captured images and uses a relaxation matching algorithm based in global structure constraint satisfaction to distinguish the matching error for those features. When the algorithm is processed, motion parameters of displacement area and its direction are computed. Once movement is recognized ...

• 한국조경학회지
• /
• 제26권3호
• /
• pp.134-142
• /
• 1998

THe purpose of this study is to suggest the major determinants of visual preference in the outdoor spaces of urban office buildings. For this, the spatial image was analyzed by the factor analysis algorithm. The level of visual preferences was measured by a slide simulation test, and these data were analyzed by the multiple regressioni. The result of this study can be summarized as follows; Factors covering the spatial image were found to be 'mystery','changeability','coherence' and 'legibility'. T.V. was obtained as 58.4%. Outdoor spaces of urban office buildings were classified into four groups by the multi dimensional scaling method. As for the analysis of imageability in each spatial type, the factor scores of measuring high values were different for all types. Type II, IV obtained higher rank of visual preference and type III, I obtained lower. For all types, the factors of visual preference were found to be 'mystery','changeability','coherence' and 'legibility'. The visual preference determinants of urban setting focused on outdoor spaces of urban office buildings may be the major factors which must be considered in planning and designing as the functional basis for the quantitative analysis.

• Journal of Multimedia Information System
• /
• 제7권1호
• /
• pp.1-10
• /
• 2020

The image analysis is an important and predominant task for classifying the different parts of the image. The analysis of complex image analysis like histopathological define a crucial factor in oncology due to its ability to help pathologists for interpretation of images and therefore various feature extraction techniques have been evolved from time to time for such analysis. Although deep reinforcement learning is a new and emerging technique but very less effort has been made to compare the deep learning and deep reinforcement learning for image analysis. The paper highlights how both techniques differ in feature extraction from complex images and discusses the potential pros and cons. The use of Convolution Neural Network (CNN) in image segmentation, detection and diagnosis of tumour, feature extraction is important but there are several challenges that need to be overcome before Deep Learning can be applied to digital pathology. The one being is the availability of sufficient training examples for medical image datasets, feature extraction from whole area of the image, ground truth localized annotations, adversarial effects of input representations and extremely large size of the digital pathological slides (in gigabytes).Even though formulating Histopathological Image Analysis (HIA) as Multi Instance Learning (MIL) problem is a remarkable step where histopathological image is divided into high resolution patches to make predictions for the patch and then combining them for overall slide predictions but it suffers from loss of contextual and spatial information. In such cases the deep reinforcement learning techniques can be used to learn feature from the limited data without losing contextual and spatial information.

• Clinical and Experimental Reproductive Medicine
• /
• 제24권2호
• /
• pp.153-165
• /
• 1997

In male reproducible health, fertility and IVF (in-vitro fertilization), semen analysis has been most important. Semen analysis can be divided into concentration, motional and morphological analysis of sperm. The existing method which was developed earlier to analyze semen concentrated on the sperm motility analysis. To provide more useful and precise solutions for clinical problems such as infertility, semen analysis must include sperm morphological analysis. But the traditional tools for semen analysis are subjective, imprecise, inaccurate, difficult to standardize, and difficult to reproduce. Therefore, with the help of development of microcomputers and image processing techniques, we developed a new sperm morphology analyzer to overcome these problems. In this study the agreement on percent normal morphology was studied between different observers and a computerized sperm morphology analyzer on a slide-by-slide basis using strict criteria. Slides from 30 different patients from the SNUH andrology laboratory were selected randomly. Microscopic fields and sperm cells were chosen randomly and percent normal morphology was recorded. The ability of sperm morphology analyzer to repeat the same reading for normal and abnormal cells was studied. The results showed that there was no significant bias between two experienced observers. The limits of agreement were 4.1%${\sim}$-3.8%. The Pearson correlation coefficient between readers was 0.79. Between the manual and sperm morphology analyzer, the same findings were reported. In this experiments the slides were stained by two different methods, PAP and Diff-Quik staining methods. The limits of agreement were 7.2%${\sim}$-5.7% and 6.0%${\sim}$-6.3%, respectively. The Pearson correlation coefficients ware 0.76 and 0.91, respectively. The limits of agreement was tighter below 20% normal forms. In the experiments of repeatability, 52 cells stained by PAP and Diff-Quik staining methods were analyzed three times in succession. Estimating pairwise agreement, the kappa statistic for the pairs were 0.76, 0.81, 0.86, and 0.75, 0.88, 0.88 respectively. In this study it was shown that there was good agreement between manual and computerized assessment of normal and abnormal cells. The repeatability and agreement per slide of computerized sperm morphology analyzer was excellent. The computer's ability to classify normal morphology per slide is promising. Based on results obtained, this system can be of clinical value both in andrology laboratories and IVF units.