• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.482-486
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• 2009

Scale-invariant feature is an effective method for retrieving and classifying images. In this study, we analyze a scale-invariant planar curve features for developing 2D shapes. Scale-space filtering is used to determine contour structures on different scales. However, it is difficult to track significant points on different scales. In mathematics, curvature is considered to be fundamental feature of a planar curve. However, the curvature of a digitized planar curve depends on a scale. Therefore, automatic scale detection for curvature analysis is required for practical use. We propose a technique for achieving automatic scale detection based on difference of curvature. Once the curvature values are normalized with regard to the scale, we can calculate difference in the curvature values for different scales. Further, an appropriate scale and its position are detected simultaneously, thereby avoiding tracking problem. Appropriate scales and their positions can be detected with high accuracy. An advantage of the proposed method is that the detected significant points do not need to be located in the same contour. The validity of the proposed method is confirmed by experimental results.

• Journal of the Korean Institute of Rural Architecture
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• v.10 no.3
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• pp.35-42
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• 2008

The purpose of this study is to suggest the possibility of complexity use these facilities for elderly welfare facility or public health facility and community center in rural. For this purpose this article researched into elderly welfare facilities, public health facilities and social welfare centers. And we studied of village community center, life pattern in old people in rural. With a rapidly increase in population of older people in rural, there is a great demand for the construction of complexes facilities. Particularly, there was highly demand for the public health facilities and the welfare programme of physiotherapy facilities on village community center in rural. However, there is not a intersection of space composition and specification function between elderly welfare facilities and public healthcare facilities and community welfare centers in this time. Accordingly, in the future plan for community center in rural, it is necessary to consider integration with public health facility. And it is necessary to compose the community center in consideration of the spatial organization of complexity as a possibility of community welfare activities.

• Journal of the Korean Society of Costume
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• v.65 no.2
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• pp.144-156
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• 2015

This research aims to develop textile patterns using mythical motives based on Buldoje in the Jeju myth. this textile design is not only decoration effect by filling the space, but also plays the original role of a pattern by expressing its symbolic meaning. The research methods are as follows: 1) Using integral analysis on materials related to the myth of Jeju and Gime used in Buldoje Gut, where Halmangbonpuli story is performed to set formative elements for textile design and their meanings; 2) Designing motive by composing formative elements; 3) Coloring properly; and 4) Layout motives. Adobe CS5 (Photoshop, Illustrator) and TexPro, a design CAD program, were used for textile design. Motives were combined in a various ways. Two-directional, four-directional, set, rotating, toss layout techniques, which are frequently used in apparel design and able to reduce cloth use, were used in developing patterns. Coloring methods including tone-in-tone and Faux camaieu were used to deliver coherence and soft effects. Developed textile design symbolizes the desire for the conception of a child, birth, and health, so it is made on baby clothes. In doing so, the plan for development of a fashion-cultural product applying Jeju myth symbol is suggested.

• Journal of the Korean Solar Energy Society
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• v.30 no.6
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• pp.44-49
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• 2010

The purpose of this study is to analyze the situation of energy consumption and its characteristics in large scale store. The related survey is carried out in large scale store to investigate the energy consumption and energy use trend of heating, cooling, hot water, lighting, ventilation, equipments and others. The area of large scale discount store is about $65000m^2$, located in Daejeon. For Annual Energy Analysis of building, We surveyed used energy for 1 year and simulated using a building energy simulation(TRNSYS 16). The results of this study are as follows. 1)The amount of annual total energy consumption are 18615.244MWh/yr(286.4KWh/$m^2yr$), The rate of heating, cooling and base energy(for hot water, lighting, ventilation, equipments, cooking and others) is 3054MWh/yr(47kWh/$m^2yr$), 5660.09MWh/yr(87.08kWh/$m^2yr$), 9900.47MWh/yr(152.31KWh/$m^2yr$) respectively. The total used energy is higher than others building in Korea. Especially, The energy consumption of large scale store is very depends on operating period and pattern such as space temperature, occupancy, lighting system, equipments operating schedule and etc.

• Design & Manufacturing
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• v.17 no.3
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• pp.34-40
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• 2023

In this study, real-time collection of mold vibration signals during injection molding processes was achieved through IoT devices installed on the mold surface. To analyze changes in the collected vibration signals, injection molding was performed under six different process conditions. Analysis of the mold vibration signals according to process conditions revealed distinct trends and patterns. Based on this result, cosine similarity was applied to compare pattern changes in the mold vibration signals. The similarity in time and acceleration vector space between the collected data was analyzed. The results showed that under identical conditions for all six process settings, the cosine similarity remained around 0.92±0.07. However, when different process conditions were applied, the cosine similarity decreased to the range of 0.47±0.07. Based on these results, a cosine similarity threshold of 0.60~0.70 was established. When applied to the analysis of mold vibration signals, it was possible to determine whether the molding process was stable or whether variations had occurred due to changes in process conditions. This establishes the potential use of cosine similarity based on mold vibration signals in future applications for real-time monitoring of molding process changes and anomaly detection.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.56-64
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• 2016

Housing for the elderly should be planned on the base of elder's needs and preferences as well as their physical, emotional, and socio-psychological characteristics. This study examined the interior style of bedroom and living room the elderly preferred and these preferences are significantly different depending on their characteristics and cognitive ages, or not. This study was carried out by face to face interview with a questionnaire and 6 colored printed 3D images. The subjects were 202 old aged who lives in Busan. The interior style of bedroom and living room were classified into 3 styles; Korean traditional style, Western classical style, and modern style. The subjects made a choice their preferred interior style among three 3D images per each room and answered the reasons. Also, they answered their cognitive ages and general characteristics, and their preferences for the layout of living room-dining room-kitchen, use pattern, floor finishes, and furniture of bedroom and living room. The results were as follows; 1) The subjects preferred bed in bedroom and sofa in living room. Also, they wanted to finish the floor of bedroom and living room by using synthetic material, traditional floor paper, and wood. 2) The elderly preferred Western classical style of bedroom. The reasons were general mood such as warm, comfort, or bright, and the color. 3) These preferred styles were not any significant differences according to their characteristics and cognitive ages. 4) They preferred Korean traditional style, Western classical style, and modern style, in order. They preferred them for their general mood and window. 5) Their preferred styles were significantly different according to their housing types and cognitive ages.

• Journal of Electrical Engineering and Technology
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• v.12 no.6
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• pp.2388-2398
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• 2017

In this study, we propose a robust face recognition system to pose variations based on automatic pose estimation. Radial basis function neural network is applied as one of the functional components of the overall face recognition system. The proposed system consists of preprocessing and recognition modules to provide a solution to pose variation and high-dimensional pattern recognition problems. In the preprocessing part, principal component analysis (PCA) and 2-dimensional 2-directional PCA ($(2D)^2$ PCA) are applied. These functional modules are useful in reducing dimensionality of the feature space. The proposed RBFNNs architecture consists of three functional modules such as condition, conclusion and inference phase realized in terms of fuzzy "if-then" rules. In the condition phase of fuzzy rules, the input space is partitioned with the use of fuzzy clustering realized by the Fuzzy C-Means (FCM) algorithm. In conclusion phase of rules, the connections (weights) are realized through four types of polynomials such as constant, linear, quadratic and modified quadratic. The coefficients of the RBFNNs model are obtained by fuzzy inference method constituting the inference phase of fuzzy rules. The essential design parameters (such as the number of nodes, and fuzzification coefficient) of the networks are optimized with the aid of Particle Swarm Optimization (PSO). Experimental results completed on standard face database -Honda/UCSD, Cambridge Head pose, and IC&CI databases demonstrate the effectiveness and efficiency of face recognition system compared with other studies.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.9
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• pp.38-45
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• 2003

This research is concerned with the dynamic modeling of the multi-purpose satellite with deployable solar arrays equipped with strain energy hinges(SEH). To this end, we proposed the use of the equivalent torsional spring for the SEH and derived the equations of motion assuming that the satellite and solar arrays are being rigid. We also considered the effect of the support string for the ground experiment model, which has been observed as a critical factor affecting the deployment in the ground experiments. From the numerical simulation results, it is found that solar arrays are deployed in a similar pattern but the hub motions are different because of the support strings. It was concluded that the non-gravity deployment of the solar arrays can be approximately simulated by the ground experimental facility. The effects of the support string are also investigated by varying the length of the string. It was found that the current length of the string is adequate for the ground experiment. Ground experimental results will follow.

• Journal of Korean Society of Transportation
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• v.18 no.4
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• pp.75-85
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• 2000

The Purpose of this study is to analyze wether the composition of training sample have a relation with the Predictive ability and the learning results of ANNs(Artificial Neural Networks) fur predicting one cycle ahead of the queue length(veh.) in a signalized intersection. In this study, ANNs\` training sample is classified into the assumption of two cases. The first is to utilize time-series(Per cycle) data of queue length which would be detected by one detector (loop or video) The second is to use time-space correlated data(such as: a upstream feed-in flow, a link travel time, a approach maximum stationary queue length, a departure volume) which would be detected by a integrative vehicle detection systems (loop detector, video detector, RFIDs) which would be installed between the upstream node(intersection) and downstream node. The major findings from this paper is In Daechi Intersection(GangNamGu, Seoul), in the case of ANNs\` training sample constructed by time-space correlated data between the upstream node(intersection) and downstream node, the pattern recognition ability of an interrupted traffic flow is better.

• Journal of Korean Tunnelling and Underground Space Association
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• v.8 no.3
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• pp.197-204
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• 2006

A large sectional tunnelling method using Shield TBM is expected to be popular as domestic demand of long tunnel gets growing. Although a shield tunnelling method has been recognized as prominent method in consideration of stability and applicability in shallow and poor ground, the cases of accident and constructional trouble have been often happened due to unexpected poor ground condition, or selection and use of improper shield machine. Especially, troubling cases at tunnel face are frequently occurred, so supporting pressure control of tunnel face would be the main issue for securing safer and more efficient tunnel excavation using Shield TBM. In this point, we carried out the numerical feed-back analysis to compare the ground deformation pattern with theoretical result at tunnel face.