• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.22-27
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• 2021

Morphology of contemporary city streets is composed of overlapping infrastructures corresponding to the new street within the established organization, contemporary system, future circumstance, and population. As well, two overlaid organizations and morphological, historical, social and physical development lead to sharp acute algle(triangular) site, and the architecture in this site has a restriction on the availability of the internal space and the external design due to outside shape sharpness. We want to have a positive effect on the internal and external design of the architecture in the future by categorization of the shape and processing characteristics of the acute angle corner of the trilateral site. The characteristics and design categorization shown in this case study are as follows. Constitution a unique and independent form, lead streets and shape a exclusive image of the landscape, alleviate sharpness by configuring a acute angle point as a plane, use void to give reserve character, replace roundness for companionability to induce ambience in the road, embrace the characteristics of the site and create internal spaces and functions, emphasize the characteristics of each stairs, retain of uniqueness and highlight the characteristics of a vertical elements.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.303-306
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• 1995

The present paper deals with extraction of figures and characters from their background using the knowledge of color. At each pixel of the image on the CRT sent from a video camera, RGB values are transformed into the values in another color system, HSI, where "H" denotes hue;"S" denotes saturation;"I" denotes intensity. Representing color in HSI color space is advantageous, since a human feels color mainly in hue with the aid of brightness and purity. Comparing HSI data thus obtained with the masked original image detects noise-free edges included in the orginal image. Then setting a set of HSI thresholds and changing it identifies the portion of image of the same color. This color information is used in recongnizing characters and figures as an auxiliary system of a hierachical figure categorization method for characters and figures recognition.cters and figures recognition.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.624-629
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• 1992

This paper deals with the architecture of an information processing model for the human concept understanding required in constructing intelligent man-machine interfaces. The architecture employed is a parallel processing by networking. For this purpose, personal computers are interconnected by LAN and are, in their roles, divided into three levels. A concept has two aspects; i.e., language and image. In the present model, the system as the holistic whole of personal computers together with peripheral devices processes visual information in cognitive level, searching for feasible solutions from a variety of aspects. An image inputted through peripheral systems is categorized and matched with those ever experienced with the aid of that categorization, and thus an image is identified.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.35.2-35
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• 2001

This paper is concerned with the problem of how to detect paint type defects on painted slates using machine vision. We begin by outlining the motivations for this research and present a review of research in related areas before proceeding with a process description and a categorization of typical paint defects. We describe the test bed built to replicate factory conditions and the testing of image capture techniques. We discuss problems we confronted such as getting a sufficiently strong signal level from the slate, the effects of the slate surface profile on image capture and how we dealt with these problems. The third principal challenge was to generate a strong signal to noise ratio for each defect type so that a computationally inexpensive image processing method becomes viable. We demonstrate ...

• Journal of Korea Multimedia Society
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• v.15 no.3
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• pp.312-322
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• 2012

The paper presents an approach for recognizing the broken area of the traffic signs. The method is based on the Recognition System for Traffic Signs (RSTS). This paper describes an approach to using the location histogram matching for the broken traffic signs recognition, after the general process of the image detection and image categorization. The recognition proceeds by using the SIFT matching to adjust the acquired image to a standard position, then the histogram bin will be compared preprocessed image with reference image, and finally output the location and percents value of the broken area. And between the processing, some preprocessing like the blurring is added in the paper to improve the performance. And after the reorganization, the program can operate with the GPS for traffic signs maintenance. Experimental results verified that our scheme have a relatively high recognition rate and a good performance in general situation.

• Journal of Broadcast Engineering
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• v.5 no.1
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• pp.61-67
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• 2000

Generally, relevance, feedback reflecting user's intention has been used to refine the refine the query conditions in image retrieval. However, in this paper, the usage of the relevance feedback is extended to the image database categorization so as to be accommodated to the user independent image retrieval. In our approach, to guarantee a desirable user-satisfactory performance descriptors and the elements of the descriptors corresponding unique features associatiated with of each image are weighted using the relevance feedback where experts can more lead rather than beginners do. In this paper, we propose a proper image description scheme consisting of global information, local information, descriptor weights and element weights based on color and texture descriptors. In addition, we also introduce an appropriate learning method based on the reliability scheme preventing wrong learning from abusive feedback.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.265-270
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• 1993

In an intelligent man-machine interface, it is very effective to support human thinking and to be in communication in some intuitive fashion. For this, sharing experience between the party concerned, human operators(s) and the interface is essential. It is also necessary to keep mutual understanding in some conceptual levels. Here in the present paper, figures which are an aspect of concepts and form a basis of mental image are discussed.

• Journal of the Korean Society of Costume
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• v.66 no.4
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• pp.128-145
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• 2016

Unlike the past, when fashion brands adopted unilateral communication with their consumers, the brands today have recognized the importance of bi-lateral communication. This has led to the companies producing fashion films as a means to elicit a consensus in opinion between the brands and the consumers. Such fashion films should be understood as films using fashion that transcends time, and also as a type of fashion media. This study, which is based upon the understanding that fashion films are a part of strategic marketing for enhancing the value of brands, used domestic and international literature in order to define fashion films, and establish a theoretical basis for these films. Corroborative study was also conducted for the purpose of practical categorization. This study aims to investigate the characteristics of fashion films, and to suggest a new approach to the study of fashion films. The study adopted the research methodology used in Dudley Andrew's film theory in order to create a theoretical frame that can be used to categorize fashion films. The theory is of significance because it is the basis for the category of motion picture fashion film and media technology fashion film. The study on the categorization and the characteristics of fashion films based upon 6 sub-categories shows a consistent trend of fashion films. From the results, it can be inferred that the films contribute, in part, to the enhancement of brand value. Fashion films have shown rapid growth with the mixture of other media, and with the introduction of cutting-edge technology. Fashion films can be used as new marketing methods for the fashion brands in this digital age.

• Journal of the Korea Fashion and Costume Design Association
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• v.2 no.2
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• pp.19-40
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• 2000

It is supposed that the future fashion could be made by the scientist instead of fashion designer. Because it is so intellectual and avantguard. In addition to this the practical value and a certain identity is needed in this future fashion. Especially, the intention of no acceptance of categorization could be explained through the fashion clud of young people and the extremeness in the street. Paul Hedmus has insited that Tokyo club is closely related the fashion styles depended on the western historical street fashions. Fashion is mixeded contrasted, modified, resembled, reversed and finally it includes the new neaning. Instead of distinguishable logo there are lots of messages in the fashion. There are a few thousand of young people who wear silver max metal shoes. And they craze the neon picture and advertisement implies meaning the drug. It could be applied to the people of 90's. The difference between sex from the stone age is induced basically from the fashion and the part of discussion of sex. In this study we research the images of future fashion showed in SF Movie, Star Wars, Episode, The 5th Elements, Nirvana. Those were geometric and natural, technological expansion of space, corset fashion acessoruy image and geometric expression and these characteristics implied in modern fashion trend and future fashion images. Because it is supposed to the future image of current fashion. The millenium fashion is more realistic, practical, and natural instinct realization of ideal. but it is not the unrealistic, the vague of the regendary image.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.229-237
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• 2021

Our modern 'information-hungry' age demands delivery of information at unprecedented fast rates. Timely delivery of noteworthy information about recent events can help people from different segments of life in number of ways. As world has become global village, the flow of news in terms of volume and speed demands involvement of machines to help humans to handle the enormous data. News are presented to public in forms of video, audio, image and text. News text available on internet is a source of knowledge for billions of internet users. Urdu language is spoken and understood by millions of people from Indian subcontinent. Availability of online Urdu news enable this branch of humanity to improve their understandings of the world and make their decisions. This paper uses available online Urdu news data to train machines to automatically categorize provided news. Various machine learning algorithms were used on news headline for training purpose and the results demonstrate that Bernoulli Naïve Bayes (Bernoulli NB) and Multinomial Naïve Bayes (Multinomial NB) algorithm outperformed other algorithms in terms of all performance parameters. The maximum level of accuracy achieved for the dataset was 94.278% by multinomial NB classifier followed by Bernoulli NB classifier with accuracy of 94.274% when Urdu stop words were removed from dataset. The results suggest that short text of headlines of news can be used as an input for text categorization process.