• Journal of Information Processing Systems
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• v.19 no.4
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• pp.554-562
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• 2023

This research offers a sports video action recognition approach based on the fish swarm algorithm in light of the low accuracy of existing sports video action recognition methods. A modified fish swarm algorithm is proposed to construct invariant features and decrease the dimension of features. Based on this algorithm, local features and global features can be classified. The experimental findings on the typical sports action data set demonstrate that the key details of sports action can be successfully retained by the dimensionality-reduced fusion invariant characteristics. According to this research, the average recognition time of the proposed method for walking, running, squatting, sitting, and bending is less than 326 seconds, and the average recognition rate is higher than 94%. This proves that this method can significantly improve the performance and efficiency of online sports video motion recognition.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.692-702
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• 2005

The purpose of this study was to explore global consumer behavior with fashion products, Korean fashion products, and Korean traditional fashion products (i.e., Han-Bok). Clothing selection criteria for fashion products and Korean fashion products were included as major constructs far the comparison among global consumers based on their nationality. Other consumer behavior variables were shopping place, buying frequency, purchase experience/plan, preferred brand, purchase items, information source, purchasing usage, and the product evaluation of Hanbok. A convenience sample of 236 global consumers was selected for this study. A questionnaire was pilot tested, and the revised questionnaire was used for the interview survey. Descriptive statistics and ANOVA were used for data analysis. Various nationality were existed such as Europe, North America, Japan, China, South East Asia. The results indicated that the most important criteria for fashion buying were design, fit, and size in order. Fit, size, and color item from buying criteria were significantly different among global consumers by nationality. Country of origin was found as less important factor among global consumers. Department store was most favorable shopping place, and once a month is the most mentioned category in buying frequency. Preferred brands were Levi's, Polo, Gucci, and Prada, etc. Secondly, regarding the evaluation of Korean fashion products, textile quality was highly evaluated. Significant difference except design/style category were existed among global consumers by nationality. Thirdly, regarding the evaluation of Hanbok, the product evaluation of Hanbok highly represented as special event clothing, unique image, beautiful details and oriental beauty in order. Significant difference in good quality of textiles, oriental beauty, coordination with good colors and fabrics, beautiful details and unique style and design were existed among global consumers by nationality. Managerial implications were discussed.

• World Technopolis Review
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• v.1 no.3
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• pp.206-225
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• 2012

The development of the Surrey Research Park by the University of Surrey is an addition to a number of existing strategies to collaborate with industry that it has developed over its 120 year history. The potential to undertake this development was based on owning a substantial land holding that the University acquired when the Borough Council for the town of Guildford invited the University to relocate from Battersea in London to its new location in 1966. Initial plans for the Park in 1979 were accelerated in 1981 in response to plans by the then government to reduce funding for Higher Education in the UK. Beyond a broad master plan for the site that was based on topography and access to the site the plans that were developed were based on a survey of 100 companies that were deemed to be in the target market for the site and a review of the other 7 science parks that were being developed in the UK in 1981. The findings from this proved to be important in developing the master plan for the site. Another important influence on the project was the objectives that were defined for the 3 stakeholders in the project of the University, the tenant companies and the planning authority relate to economic development, a competitive advantage of tenant companies, knowledge transfer, the profile for the University and the capacity to generate income proved to be a valuable framework on which to develop a master plan. These details were underpinned by five objectives which served the three stakeholders in the site. Those for the University included commercial potential, knowledge transfer and image and reputation; those for the town primarily related to economic development and the plan was to help tenants gain a competitive advantage by locating on the site. In addition a number of success indicators were defined for the project against which to measure performance and have remained as a useful set of parameters on which to base the assessment of the performance of the site. In combination with these indicators a further analysis deals with the success factors that are considered as important in influencing performance. The paper sets details the history of the park and covers the success indicators and factors and reviews these in the context of the original objectives for the site.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.196-205
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• 2009

This paper aims at suggesting realistic plans to vitalize the cooperative structures between hospitals by confirming effects and improvements in the cooperative relationships, as well as by identifying the current status and circumstance in the cooperative relationships between a university hospital and hospitals. The major results of this study are as follows; The cooperative relationships are mainly concluded under the highest opinion on the degree of perception and the brand value for hospitals. For details on their cooperation, the request and return on diagnosis and examination for patients were shown with the highest response. The emergency circumstances were the highest for reasons of requests on patients, and the completed cases for the necessary diagnosis and examination for reasons of return on patients were the most cases among details on their cooperation, whereas their satisfaction showed an ordinary level. Regarding the effects of cooperative relationships, responses to the increase of external image and to the possibility of effective diagnosis and examination for patients with higher risk showed an ordinary level, but other effects in the general fields showed lower levels.

• Journal of Science and Technology Studies
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• v.11 no.2
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• pp.67-96
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• 2011

Studies in scientific visualization have disclosed a visual chain among many scientific visualizations, which starts from the photographs that have many details to diagrams that enable scientists to make specific claims due to their abstract characters. Located at both ends of the visual chain, photographs and diagrams are regarded as being different kinds and having different characteristics. The photographs - or microphotographs to be precise - that this paper discusses, however, had been removed of unnecessary details and were prepared with carful attention to illustrative functions that diagrams usually perform. Following microphotographic changes in a Korean laboratory, this article shows that the knowledge of specimen preparation was transmitted from an American leading group to the Korean laboratory through a direct contact, and that with this, the technique of taking microphotographs of the laboratory was much improved. The specimen preparation method is, however, a tacit knowledge that is invisible in both group's papers. This article argues that the method of specimen preparation is the driving force that made the microphotographs act like carefully prepared diagrams and acquire objectivity.

• The Research Journal of the Costume Culture
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• v.19 no.1
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• pp.104-118
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• 2011

Since Sirimavo Bandarinaike became the first female prime minister in 1960, women all over the world has been trying to break the highest glass ceiling. In a place where men had been dominating throughout history, women political leaders had to find a way to look the part by wearing power suits. Feminity was out of the question until the digital era of 21st century started. The world has evolved into a place where feminity could be strength instead of weakness. Now women political leaders are showing body curves, cleavage, using vivid and pastel colors, soft fabrics, elaborate details, accessories, long and curly hair. The padded shoulders of dark coloured power suits were replaced by soft colorful flowing feminine suits. Yulia Tymoshenko of Ukraine is the best example of 21st century woman political leader using feminity in her fashion style while enacting her role. When she first started politics in 1990's, she wore dark colored power suits like all other women political leaders did with short dark hair. As time passed her suits became more feminine with light colors and elaborate details. She has changed her hair into a neat braid, based on a traditional Ukrainian hair style. She used orange color for the Orange Revolution and white for pure image. Yulia Tymoshenko's fashion style as a way of role enactment showed professionalism, feminity, integrity, and ethnicity.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.68-74
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• 2017

This paper presents a joint demosaicking and arbitrary-ratio down sampling algorithm for color filter array (CFA) images. Color demosaiking is a necessary part of image signal processing pipeline for many types of digital image recording system using single sensor. Also, such as smart phone, obtained high resolution image from image sensor has to be down-sampled to be displayed on the screen. The conventional solution is "Demosaicking first and down sampling later". However, this scheme requires a significant amount of memory and computational cost. Also, artifacts can be introduced or details get damaged during demosaicking and down sampling process. In this paper, we propose a method in which demosaicking and down sampling are working simultaneously. We use inverse mapping of Bayer CFA and then joint demosaicking and down sampling with arbitrary-ratio scheme based on signal decomposition of high and low frequency component in input data. Experimental results show that our proposed algorithm has better image quality performance and much less computational cost than those of conventional solution.

• Journal of KIISE:Software and Applications
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• v.37 no.1
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• pp.29-38
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• 2010

We propose an interactive projection technique to display details of a large image in a high resolution and brightness by tracking a portable projector. A closed-loop based tracking method is presented to update the projected image while a user changes the position of the detail area by moving the portable projector. A marker is embedded in the large image to indicate the position to be occupied by the detail image projected by the portable projector. The marker is extracted in sequential images acquired by a camera attached to the portable projector. The marker position in the large display image is updated under a constraint that the center positions of marker and camera frame coincide in every camera frame. The image and projective transformation for warping are calculated using the marker position and shape in the camera frame. The marker's four corner points are determined by a four-step segmentation process which consists of camera image preprocessing based on HSI, edge extraction by Hough transformation, quadrangle test, and cross-ratio test. The interactive projection system implemented by the proposed method performs at about 24fps. In the user study, the overall feedback about the system usability was very high.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.444-448
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• 2008

The ubiquitous smart home is the home of the future that takes advantage of context information from the human and the home environment and provides an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. We present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. We used four network cameras for real-time human tracking. This paper explains the real-time human tracker's architecture, and presents an algorithm with the details of two functions (prediction of human location and motion) in the real-time human tracker. The human location uses three kinds of background images (IMAGE1: empty room image, IMAGE2:image with furniture and home appliances in the home, IMAGE3: image with IMAGE2 and the human). The real-time human tracker decides whether the human is included with which furniture (or home appliance) through an analysis of three images, and predicts human motion using a support vector machine. A performance experiment of the human's location, which uses three images, took an average of 0.037 seconds. The SVM's feature of human's motion recognition is decided from pixel number by array line of the moving object. We evaluated each motion 1000 times. The average accuracy of all the motions was found to be 86.5%.

• The KIPS Transactions:PartA
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• v.16A no.3
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• pp.209-216
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• 2009

The ubiquitous smart home is the home of the future that takes advantage of context information from the human and the home environment and provides an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. We present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. We used four network cameras for real-time human tracking. This paper explains the real-time human tracker's architecture, and presents an algorithm with the details of two functions (prediction of human location and motion) in the real-time human tracker. The human location uses three kinds of background images (IMAGE1: empty room image, IMAGE2: image with furniture and home appliances in the home, IMAGE3: image with IMAGE2 and the human). The real-time human tracker decides whether the human is included with which furniture (or home appliance) through an analysis of three images, and predicts human motion using a support vector machine. A performance experiment of the human's location, which uses three images, took an average of 0.037 seconds. The SVM's feature of human's motion recognition is decided from pixel number by array line of the moving object. We evaluated each motion 1000 times. The average accuracy of all the motions was found to be 86.5%.