• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.789-790
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• 2008

In this paper, we introduce the multi-target-based auto surveillance algorithm. Multi-target-based surveillance system detects intrusion objects in the specified areas. The proposed algorithm can divide into two parts: i) background generation, ii) object extraction. In this paper, one of the optical flow equation methods for estimation of gradient method used to generate the background [2]. In addition, the objects and back- ground video images that are continually entering the differential extraction.

• Proceedings of the KSPS conference
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• 2003.10a
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• pp.133-137
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• 2003

The purpose of this study was to provide acoustic data on the voice of the laryngectomized patients for more scientific and efficient voice rehabilitation. The phonation of prolonged /a/ of 9 electronic artificial larynx(AL) users, 5 esophageal(EP) speech users, and 2 tracheo-esophageal(TEP) voice users were recorded and analyzed using Multi-Speech. Habitual f0, mean f0, sd f0, max f0, min f0, jitter, shimmer, and NHR were compared among groups of subjects using t-test. The EP and TEP groups exhibited higher f0 compared to the AL group. The AL and TEP groups showed more stable f0 than the EP group. In addition, the quality of TEP and EP voices were comparatively better in terms of jitter, shimmer, and NHR.

• Journal of Sensor Science and Technology
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• v.4 no.2
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• pp.3-6
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• 1995

Type K thermocouples having multi-junction for measuring the temperature gradient of the furnace were fabricated. The obtained results on the temperature gradient of the electric furnace maintained at $800^{\circ}C$ were consistent with those for the reference grade type S thermocouple, which was carefully calibrated, within the permitted error limit of the type K thermocouple. It was suggested that noble metal multi-junction thermocouples be suitable for more accurate temperature gradient measurements.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.783-792
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• 2022

Versatile Video Coding (VVC) is the latest video coding standard, which had been developed by the Joint Video Experts Team (JVET) of ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Picture Experts Group (MPEG) in 2020. Although VVC can provide powerful coding performance, it requires tremendous computational complexity to determine the optimal block structures during the encoding process. In this paper, we propose a fast ternary tree decision method using two neural networks with 7 nodes as input vector based on the multi-layer perceptron structure, names STH-NN and STV-NN. As a training result of neural network, the STH-NN and STV-NN achieved accuracies of 85% and 91%, respectively. Experimental results show that the proposed method reduces the encoding complexity up to 25% with unnoticeable coding loss compared to the VVC test model (VTM).

• International conference on construction engineering and project management
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• 2015.10a
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• pp.689-690
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• 2015

The remodeling of multi-family houses (MFH) has emerged as a significant issue in the construction industry. Many decision makers struggle with the decision to remodel because of insufficient information including standards or methods for projecting the price of their structure after remodeling. In this context, this research analyzed the change in price of MFHs after remodeling. To achieve this research goal, (i) the price data from 14 groups (i.e., MFH renovation cases and equivalent MFH cases without remodeling) were collected, and (ii) the trend of price variation among each group was analyzed. Finally, this research suggests price variations of each group in terms of three different time points (i.e., before remodeling, after remodeling, and the present), which shows the effects of remodeling on the price of MFHs. This research offers a framework for the development of a model that will predict the price of an MFH after remodeling.

• Korean Journal of Human Ecology
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• v.22 no.1
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• pp.141-155
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• 2013

The purpose of this study is to identify consumers' needs and purchase intention of high-functional sportswear according to sports participation motivations. Internet survey was done for data collection and the subjects were 300 consumers in their 20-39's who participated in sport activities at least once a week. Factors of sport participation motivations were ostentation, social interaction, self development, mental health, and physical health. Consumers were segmented into the motivation retard group, the multi-purpose pursuit group, the health pursuit group, and the extrinsic motivation pursuit group. And factors of consumers' needs for high-functional sportswear were practicality and comfort function, body protection and physical function, and skin protection and health function. The multi-purpose pursuit group showed strong needs for active and comfort, body protection and physical function, and skin protection and health function but the motivation retard group showed the lowest needs for high functional sportswear. Purchase experiences of high-functional sportswear, accomplishment, and duration period of sport activity affected positively on the purchase intention of high-functional sportswear.

• Journal of Fashion Business
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• v.22 no.5
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• pp.15-31
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• 2018

The purpose of this study was to classify male consumers and examine their clothing consumption values and the perceived importance of store attributes. Using Internet-based research service, survey data were collected from 651 male consumers aged between 20 and 40. The questionnaire included questions regarding respondents' preference of different store types, clothing consumption values, perceived importance of store attributes. According to the results, the respondents were categorized into 5 distinct groups based on their store type preferences: discount store preference group, multi-channel preference group, store indifferent group, brand store preference group, online store preference group. Multi-channel preference group was the largest among these groups. The five store type preference groups statistically varied in clothing consumption values, i.e., epistemic value, brand/conspicuous value, and economic value. The groups also differed in the importance they placed in the store attributes of: service and product quality, promotion, fashionability, salesperson and store environment, store atmosphere, convenience, and website image. The results of this study have direct implication for retail marketers of fashion companies who are targeting male consumers. Marketers can apply findings of this study in implementing retail strategies for different types of stores.

• Korean Journal of Culture and Social Issue
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• v.23 no.4
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• pp.527-556
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• 2017

The purpose of this study was to examine the effect of group success on organizational commitment in organizational situations. It also aimed to investigate the dynamics in the relevance of motivational attitudes to the individual and group level variables(collective efficacy, group cohesiveness). This study used a multi-level model and tested a series of hypotheses through meso-mediation procedure. The results from 613 naval officials in 36 groups provided evidence that; (1) collective efficacy mediated the relationship between group success and group cohesiveness, (2) the cross-level main effects of group success and collective efficacy were shown on vocationa[l self-efficacy, (3) group cohesiveness exerted positive influence on organizational commitment and (4) the meso-mediation effects among the variables at the multi-level were revealed. It was found that the degree of work motivation and motivational attitudes depended on the group's contextual factors, and that each group's shared perceptions on group performance outcomes could be an important motivational source and cornerstone leading to group cohesiveness. The implications and limitations of these study as well as the direction for future study were discussed.

• International Journal of High-Rise Buildings
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• v.5 no.1
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• pp.43-50
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• 2016

The reinforced-concrete multi-story shear-wall structure, which can free a building from beams and columns to allow the planning of a vast room, has increasingly been used in Japan as a high-rise reinforced-concrete structure. Since this structural system concentrates the seismic force onto multi-story shear walls inside, the bending deformation of the walls may cause excessive deformation on the upper floors during an earthquake. However, it is possible to control the bending deformation to within a certain level by setting high-strength and rigid beams (outriggers) at the top of the multi-story shear walls; these outriggers restrain the bending behavior of the walls. Moreover, it is possible to achieve high energy dissipation by placing vibration control devices on the outriggers and thus restrain the bending behavior. This paper outlines the earthquake response analysis of a high-rise residential tower to demonstrate the effectiveness of the outrigger frame incorporating vibration control devices.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.1
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• pp.42-50
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• 2006

The multi-criteria group decision making (MCGDM) problem is to determine the best compromise solution in a set of competing alternatives that are evaluated under conflicting criteria by decision maker (DM)s. In this paper, we propose a mixed-integer programming (MIP) model to solve MCGDM. The existing method based on minimizing a distance measure such as Median Approach can not guarantee the best compromise solution because the element of median point vector is defined with respect to each criteria separately. However, by considering all criteria simultaneously, we generate median point that is better for locating the best compromise solution. We also utilize the concept of spatial dispersion index (SDI) to produce a threshold value, which is used as a guideline to choose either the Utopian Approach or the Median Approach. And we suggest using CBITP (Convex hull of individual maxima Based Interactive Tchebycheff Procedure) to provide DMs with various Pareto-optimal solutions so that DMs have broad range of selection.