• Journal of Digital Convergence
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• v.18 no.11
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• pp.137-147
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• 2020

With the acceleration of economic globalization, the development of aviation logistics plays an increasingly significant role in the logistics industry. As the foundation of aviation logistics development, airport terminals are attracting increasing attention. In this respect, the aim of this research is to analyze 65 academic papers on Chinese airport terminals from 2003 to 2020 by utilizing analytic keywords of academic papers and suggest the research trend of Chinese airport terminals. The SNA was adopted as research methodology. Airport Terminal, Boned, and Chinese Mainland were the keywords for the first period (2003-2008), while the second period (2009-2014) included the keywords such as China, DEA, Airport, and Flight Delay. For the third period (2015-2020), Airport Competitiveness and Aviation Network were also highly connected keywords. This indicates that with the growth of the economy, the research trend of China's airport terminals has been gradually expanding from infrastructure construction to network development. The results have implications on suggesting the research trend of Chinese airport terminals, and providing insights to the policy makers, academics, and practitioners in neighboring countries including Korea.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.461-468
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• 2019

The aim of this study was to compare and analyse the national players between the winning games and the losing ones by classifying the GPS data measured in the competition. 27 players of Korean national team on field hockey had analysed to collect plenty of data by using GPS system in real time on 16 A-matches for this paper. The result was followed: First, it has revealed that the winning games showed that it had played a lot in the rest of the zone except for zone 1 and zone 5 from zone 1 to zone 6. Second, is has also shown that it had a significant differences into the distance between the winning games and the losing ones. Third, there were no significant differences between Low-speed zone (zone 1 to Zone 3) and High-speed zone (zone 4 to zone 6) into the distance but were a significant differences on the number of high-accelerations in a section of accelerations. Last, in the position-specific, it has shown a significant differences between a distance by the section and the acceleration frequency and the results showed that the difference between the low accelerations and high ones influenced positively related to the performance.

• Journal of the Korean Applied Science and Technology
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• v.38 no.3
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• pp.762-770
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• 2021

The purpose of this study was to analyze the effect on the vertical ground reaction force, the elapsed time, and the center of pressure factors during gait by maepsi exercise program, which is a whole body exercise, to middle-aged women for 8 weeks. A total of 25 subjects participated in this study, 13 in the exercise group(age, 41±4.4 years; heigh, 162.5±5.8cm; weight, 57.8±6.7kg; body mass, 21.9±2.4kg/m2) and 12 in the control group(age, 41.1±5.6 years; height, 160.9±5.5 cm; weight, 576.2±8.1 kg; body mass, 21.7±2.9 kg/m2). In the exercise group, the maepsi exercise program consisting of 7 areas, 23 types and 77 movements, was conducted 3 times a week for 8 weeks. Two-way repeated measures ANOVA was performed to verify the ground reaction force factors during gait, and the post-test was analyzed with bonferroni adjustment(a=.05). In the exercise group, compared to the control group, the exercise group showed higher values than the control group in the elapsed time to FMWA and FPO, vertical ground reaction force at FMWA and FPO, and RMS factors of COP in the AP direction. Therefore, it was found that the 8-week maepsi exercise program improved the acceleration and deceleration exercise functions of middle-aged women who performed gait.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.66-83
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• 2021

Vehicles experience changes in driving behavior due to the various facilities on the freeway. These sections may cause repetitive traffic congestion when the traffic volume increases, so safety issues may be raised. Therefore, the purpose of this study is to perform microscopic traffic analysis on these sections using drone images and to identify the causes of traffic problems. In the case of drone image, since trajectory data of individual vehicles can be obtained, empirical analysis of driving behavior is possible. The analysis section of this study was selected as the weaving section of Pangyo IC and the sag section of Seohae Bridge. First, the trajectory data was extracted through the drone image. And the microscopic traffic analysis performed on the speed, density, acceleration, and lane change through cell-unit analysis using Generalized definition method. This analysis results can be used as a basic study to identify the cause of the problem section in the freeway. Through this, we aim to improve the efficiency and convenience of traffic analysis.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.415-420
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• 2021

In a situation where the medical care field is developing from various angles, medical promotion video analysis has an important meaning. It is important as a matter of improving competitiveness, and in the era of acceleration of AI systems, medical care is also the leading field. Accordingly, the importance of videos on publicity, advertisements, and explanations is very important, and it is also an important direction to change the image of a company. In this study, the design characteristics and differences in the video were compared, focusing on the comparative analysis of professional videos of AI medical brands, with two foreign major companies (Stryker and Hill-rom) and one domestic leading company (Nine Bell), and detailed part analysis and section analysis were performed accordingly. As a technical partial analysis of image editing, the transition method and infographic graphics were considered. In an in-depth comparison, we found that AI medical imaging Points such as differences in image tone and image color harmony were analyzed and compared. For a detailed analysis in the video image determination part, we compared and studied the differentiated elements appearing in the promotional design and specific scenes of the video intro part and the product description video part of each video.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.5
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• pp.800-808
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• 2022

The International Maritime Organization adopted the interim standards for ship maneuverability in November 1993 for preventing collision of ships at sea and for protecting the marine environment, and based on the accumulated data, in December 2002, the established standards for ship maneuverability were adopted. However, the standards adopted are those at full load, even keel, and at least 90 % of the ship speed at 85 % of the ship's maximum power. Moreover, these standards have limitations in providing information on maneuverability under actual navigational conditions. Therefore, in this study, frequency analysis AHP analysis techniques were studied by consulting navigational officers, captains, and experts, who have significant knowledge on ship maneuverability, utilization of the current standards, and the information necessary for the operation of the actual ship. The results of this study confirmed that the necessary information on maneuverability for the navigational officer operating the vessel is information about the turning circle at a small angle of 5°-10° and z-test information at maneuvering speed, not sea speed. Additionally, in relation to speed control, additional information on deceleration inertia and acceleration inertia is needed than the information on the stopping ability at sea speed and full loaded condition. The derived results are considered to be useful as basic data for preparing guidelines for ship maneuverability necessary for navigational of icers who operate ships.

• The Journal of the Acoustical Society of Korea
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• v.41 no.6
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• pp.610-620
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• 2022

An acoustic vector sensor can simultaneously receive vector quantities, such as particle velocity and acceleration, as well as acoustic pressure at one location, and thus it can be used as a single input multiple output receiver in underwater acoustic communication systems. On the other hand, vector signals received by a single vector sensor have different channel characteristics due to the azimuth angle between the source and receiver and the difference in propagation angle of multipath in each component, producing different communication performances. In this paper, we propose a channel parameter-based weighting method to improve the performance of an acoustic communication system using a single vector sensor. To verify the proposed method, we used communication data collected from the experiment conducted during the KOREX-17 (Korea Reverberation Experiment). For communication demodulation, block-based time reversal technique which is robust against time-varying channels were utilized. Finally, the communication results showed that the effectiveness of the channel parameter-based weighting method for the underwater communication system using a single vector sensor was verified.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.1-8
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• 2023

If there is a defect in the wheel bearing, which is a major part of the car, it can cause problems such as traffic accidents. In order to solve this problem, big data is collected and monitoring is conducted to provide early information on the presence or absence of wheel bearing failure and type of failure through predictive diagnosis and management technology. System development is needed. In this paper, to implement such an intelligent wheel hub bearing maintenance system, we develop an embedded system equipped with sensors for monitoring reliability and soundness and algorithms for predictive diagnosis. The algorithm used acquires vibration signals from acceleration sensors installed in wheel bearings and can predict and diagnose failures through big data technology through signal processing techniques, fault frequency analysis, and health characteristic parameter definition. The implemented algorithm applies a stable signal extraction algorithm that can minimize vibration frequency components and maximize vibration components occurring in wheel bearings. In noise removal using a filter, an artificial intelligence-based soundness extraction algorithm is applied, and FFT is applied. The fault frequency was analyzed and the fault was diagnosed by extracting fault characteristic factors. The performance target of this system was over 12,800 ODR, and the target was met through test results.