• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.10
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• pp.1647-1657
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• 2010

This study examines underwear purchase behaviors and the attitude of male consumers based on the degree of interest in appearance. Data research was conducted on 296 males in their 20s and 30s located in Seoul & Gyeonggi province. The SPSS 17.0 software program was used to conduct data analyses such as descriptive statistics, frequency analysis, factor analysis, cluster analysis, t-test, and $\chi^2$-test. The results of this study are as follows: The degree of interest in appearance was identified with four factors; outfit management, confidence of figure, interest in clothing, weight control, and disinterest in appearance. Customers were segmented into two subdivisions: high and low interest in appearance. The factors derived from the factor analysis of underwear purchase motive included aesthetic, impulsiveness, and practicality. The purchase behavior of the group with high interest in appearance was highly motivated by aesthetics and impulsiveness. The factors derived from the factor analysis of underwear attitude included fashionability, comfortableness, and quality. Customers were segmented into the following three subdivisions: pursuit of comfortableness, pursuit of diversity, and normal. The type of high interest in appearance regarded fashionability and quality highly. Finally, the degree of interest in appearance showed significant relevance in purchase motive and underwear attitude for underwear.

• Journal of KIISE:Software and Applications
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• v.36 no.11
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• pp.947-954
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• 2009

This paper proposes a novel method that reconstructs a surfel-based object by using visual hull from multiple images. The surfel is a point primitive that effectively approximates point-set surface. We create the surfel representation of an object from images by combining the LDC(Layered Depth Cube) surfel sampling with the concept of visual hull that represents the approximated shape from input images. Because the surfel representation requires relatively smaller memory resources than the polygonal one and its LDC resolution is freely changed, we can control the reconstruction quality of the target object and acquire the maximal quality on the given memory resource.

• Journal of Ocean Engineering and Technology
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• v.19 no.6 s.67
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• pp.86-91
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• 2005

Regarding some of tire important works in tire shipyard, like tire production process, quality control, and material handling, there are many elements that disturb tire work-flaw. For example, there are mistakes in manufacturing, delay of production, and poor quality. These kinds of disturbances are from tire delay of communication time between tire production field and tire management. Therefore, it would be possible to strengthen tire competitiveness of shipbuilding industries by applying tire information technology based on Wireless Local Area Network (Wireless LAN), in order to establish tire multi-possession of real time production information in limited large shipbuilding yard. In this study, tire construction concept of tire information system, based on Wireless LAN, is proposed to build communication infrastructures in shipyards. The various information regarding shipbuilding inspection, process management, and material flaw are analyzed and constructed to databases in tire middle ware system, as tire platform for using Personal Display Agent (PDA). At last, tire middle ware system, which delivers tire information, is developed by tire C$\sharp$ and Microsoft.net; also, tire PDA application system is structured in WinCE O/S, and is tested and evaluated under tire server linked condition.

• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.246-254
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• 2007

Local search algorithms start from a certain candidate solution and probe its neighborhood to find ones with improved quality. This paper proposes a method of probabilistically filtering out bad-looking neighbors based on a simple low-cost preliminary evaluation heuristics. The probabilistic filtering enables us to save time wasted on fully evaluating those solutions that will eventually be trashed, and thus improves the search efficiency by allowing us to spend more time on examining better looking solutions. Experiments with two large-scaled real-world problems, which are a traffic signal control problem in traffic network and a load balancing problem in production scheduling, have shown that the proposed method finds better quality solutions, given the same amount of CPU time.

• Journal of Power Electronics
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• v.16 no.1
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• pp.190-204
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• 2016

An active front end (AFE) is required for a three-phase induction motor (IM) fed by a voltage source inverter (VSI), because of the increasing need to derive quality current from the utility end without sacrificing the power factor (PF). This study investigates a proportional-plus-integral (PI) controller based AFE topology that uses a super-lift converter (SLC). The significance of the proposed SLC, which converts rectified AC supply to geometrically proceed ripple-free DC supply, is explained. Variations in several power quality parameters in the intended IM drive for 0% and 100% loading conditions are demonstrated. A simulation is conducted by using MATLAB/Simulink software, and a prototype is built with a field programmable gate array (FPGA) Spartan-6 processor. Simulation results are correlated with the experimental results obtained from a 0.5 HP IM drive prototype with speed feedback and a voltage/frequency (V/f) control strategy. The proposed AFE topology using SLC is suitable for three-phase IM drives, considering the supply end PF, the DC-link voltage and current, the total harmonic distortion (THD) in supply current, and the speed response of IM.

• The Journal of Internal Korean Medicine
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• v.42 no.3
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• pp.259-278
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• 2021

Objectives: This study examines the effect of Sagunja-tang on functional dyspepsia (FD) through a systematic review and meta-analysis of a randomized controlled trial (RCT). Methods: A search for RCTs that tested the effect of Sagunja-tang on functional dyspepsia was conducted in Medline, Embase, PubMed, CENTRAL, CiNii, CNKI, NDSL, RISS, OASIS, and KISS databases on November 8, 2020, with no limit on the year of publication. A meta-analysis was performed by synthesizing the findings, including total efficiency, clinical symptom score, myosin light-chain kinase (MLCK) level (pg/mL, and gastric half-emptying time (min). RevMan 5.4.1 software was used for data analysis. The quality of the literature was evaluated using Cochrane's risk of bias (RoB) tool. Results: A total of 14 RCTs met the selection criteria. As a result of the meta-analysis, the treatment group had higher total efficacy and MLCK levels (gastric antrum, jejunum) than the control group, and the clinical symptom score and gastric half-emptying time were lower. However, due to the low quality of the included RCT and the small sample size, the results may be slightly biased.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4572-4586
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• 2019

Mobile Edge Computing (MEC) and Information-Centric Networking (ICN) are essential network architectures for the future Internet. The advantages of MEC and ICN such as computation and storage capabilities at the edge of the network, in-network caching and named-data communication paradigm can greatly improve the quality of video streaming applications. However, the packet loss in wireless network environments still affects the video streaming performance and the existing loss recovery approaches in ICN does not exploit the capabilities of MEC. This paper proposes a Deep Learning based Loss Recovery Mechanism (DL-LRM) for video streaming over MEC based ICN. Different with existing approaches, the Forward Error Correction (FEC) packets are generated at the edge of the network, which dramatically reduces the workload of core network and backhaul. By monitoring network states, our proposed DL-LRM controls the FEC request rate by deep reinforcement learning algorithm. Considering the characteristics of video streaming and MEC, in this paper we develop content caching detection and fast retransmission algorithm to effectively utilize resources of MEC. Experimental results demonstrate that the DL-LRM is able to adaptively adjust and control the FEC request rate and achieve better video quality than the existing approaches.

• Journal of Ocean Engineering and Technology
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• v.38 no.3
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• pp.103-114
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• 2024

Remote sensing wave observation data are crucial when analyzing ocean waves, the main external force of coastal disasters. Nevertheless, it has limitations in accuracy when used in low-wind environments. Therefore, this study collected the raw data from MIROS Wave and Current Radar (MWR) and wave radar at the Ieodo Ocean Research Station (IORS) and applied the optimal filter by combining filters provided by MIROS software. The data were validated by a comparison with South Jeju ocean buoy data. The results showed it maintained accuracy for significant wave height, but errors were observed in significant wave periods and extreme waves. Hence, this study used an artificial neural network (ANN) to improve these errors. The ANN was generalized by separating the data into training and test datasets through stratified sampling, and the optimal model structure was derived by adjusting the hyperparameters. The application of ANN effectively improved the accuracy in significant wave periods and high wave conditions. Consequently, this study reproduced past wave data by enhancing the reliability of the MWR, contributing to understanding wave generation and propagation in storm conditions, and improving the accuracy of wave prediction. On the other hand, errors persisted under high wave conditions because of wave shadow effects, necessitating more data collection and future research.

• ETRI Journal
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• v.24 no.1
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• pp.31-42
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• 2002

In high-speed multimedia satellite communication systems, it is essential to provide high-quality, economical services by using efficient transmission schemes which can overcome channel impairments appearing in the satellite link. This paper introduces techniques to compensate for rain attenuation and the Doppler shift in the satellite communication link. An adaptive transmission technique with a control algorithm to adaptively allocate transmission schemes is used as a countermeasure to rain attenuation. We introduce a new rain attenuation modeling technique for estimating system performance and propose a novel Doppler shift compensation algorithm with reduced hardware complexity. Extensive simulation results show that the proposed algorithm can provide greatly enhanced performance compared to conventional algorithms. Simulation software and hardware which incorporate the proposed techniques are also demonstrated.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1438-1442
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• 2003

This paper presents the calibration service for the temperature sensor via the Internet. The purpose of the calibration service is to provide the teleoperate calibration procedure without skillful technician requirement at the client site. Besides the automatic measurement equipment that eases the operation, the developed software emphasizes the reliability of operation, simplifying the measurement data recording and processing, and achieving quality of the temperature measurements.