• Title/Summary/Keyword: Movement Pattern

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Vibration Reduction of Chip-Mount System (칩 마운트 시스템의 진동 경감)

  • 임경화;장헌탁
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.11 no.8
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    • pp.331-337
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    • 2001
  • The purpose of this study is to analyze the principal causes of vibration problem and find out the method of vibration reduction in a chip-mount system. The principal causes are investigated through measurements of vibration spectrum and model parameters. Modal parameters are obtained by using an experimental model test. Based on the model parameters from experiments. a model of finite element method is formulated. The model presents effective redesign of increasing the natural frequencies in order to reduce the vibration of a chip-mount system. Further, through computer simulation for the behavior of head to be main vibration source, the best acceleration pattern of head movement can be verified to achieve effective head-positioning and reduce the vibration due to head movement.

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Real-Time Locomotion Mode Recognition Employing Correlation Feature Analysis Using EMG Pattern

  • Kim, Deok-Hwan;Cho, Chi-Young;Ryu, Jaehwan
    • ETRI Journal
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    • v.36 no.1
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    • pp.99-105
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    • 2014
  • This paper presents a new locomotion mode recognition method based on a transformed correlation feature analysis using an electromyography (EMG) pattern. Each movement is recognized using six weighted subcorrelation filters, which are applied to the correlation feature analysis through the use of six time-domain features. The proposed method has a high recognition rate because it reflects the importance of the different features according to the movements and thereby enables one to recognize real-time EMG patterns, owing to the rapid execution of the correlation feature analysis. The experiment results show that the discriminating power of the proposed method is 85.89% (${\pm}2.5$) when walking on a level surface, 96.47% (${\pm}0.9$) when going up stairs, and 96.37% (${\pm}1.3$) when going down stairs for given normal movement data. This makes its accuracy and stability better than that found for the principal component analysis and linear discriminant analysis methods.

The effect of spatial layout on space use pattern in subway station (지하철 역사의 공간구조와 여객의 공간사용패턴 분석 연구)

  • Kim, Young-Ook;Kim, Chan-Ju;Cho, In-O;Kim, Ah-Hyun;Nam, Sung-Won
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.418-429
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    • 2007
  • This study aims to investigate the relationship between spatial layout and space use pattern in subway station. Details investigation is carried out using space syntax method and observation of people's movement in Kangnam subway station. Space syntax method describes spatial layout quantitatively. The study reveals that space use pattern can be predicted by spatial layout of subway station using space syntax method. This study suggests that by applying space syntax method in planning stage we can design subway station objectively considering passenger's movement.

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Vibration Analysis of Super-Precision Linear Motors (초정밀 선형 모터의 진동 분석)

  • Seol, Jin-Soo;Lee, Woo-Young;Rim, Kyung-Hwa
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.840-845
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    • 2004
  • Development of the linear motors is recently required to control a high-speed and high-resolution in the high-integrated and speed process industry. This paper presents vibration analyses as well as measurement standards of the newly developed linear motors through analyzing the vibration characteristics of the advanced products. Vibration experiments are conducted for identifying vibration level during operation. They are also included in the modal test to analyze dynamic characteristics. Analytic data using Finite Element Method (FEM) are compared with the results of the modal. The FEM and experiments make it possible to understand these characteristics. Further, through computer simulation for the behavior of moving part to be vibration source, the best acceleration pattern of moving part movement can be verified to achieve effective moving part positioning and reduce the vibration due to moving part movement.

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Activity of Knee Flexors and Extensors on Change of Ankle Joint Position (발목관절 자세 변화에 대한 무릎관절 굽힘근과 폄근의 활성도)

  • Kwon, Yu-Jeong;Lee, Hyun-Ok
    • PNF and Movement
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    • v.11 no.2
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    • pp.111-117
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    • 2013
  • Purpose : The purpose of this study was to examine the activity of the knee flexor and extensor with ankle plantar flexion and dorsiflexion. Methods : A total of 18 subjects(Male 6, female 12) performed 4 lower extremity patterns of PNF and the activities of the vastus medialis oblique, rectus femoris, vastus lateralis, biceps femoris, semitendinosus ipsilateral sides were measured using electromyography. Results : During 4 lower extremity patterns of PNF, knee flexor and extensor muscle activity were significantly difference. Knee extensors were shown to be higher knee extension and ankle dorsiflexion combined pattern. Knee flexors were shown to be higher knee flexion and ankle plantarflexion combined pattern. Conclusion : We suggest that it is efficient to strengthening of knee extensors with ankle dorsiflexion and to strengthening of knee flexors with ankle plantar flexion. Also, for the functioning as toe standing, we have to choice appropriate movement pattern.

Analysis and Recognition of Behavior of Medaka in Response to Toxic Chemical Inputs by using Multi-Layer Perceptron (다층 퍼셉트론을 이용한 유해물질 유입에 따른 송사리의 행동 반응 분석 및 인식)

  • 김철기;김광백;차의영
    • Journal of Korea Multimedia Society
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    • v.6 no.6
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    • pp.1062-1070
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    • 2003
  • In this paper, we observe one of the aquatic insect, fish(Medaka)'s behavior which reacts to giving toxic chemicals until lethal conditions using automatic tracking sl$.$stem. For the result, we define the Pattern A is a normal movement of fish and Pattern B is after giving the chemicals. In order to detect the movement of fish automatically, these patterns are selected for the training data of the artificial neural networks. The average recognition rates of the pattern B are remarkably increased after inputs of toxic chemical(diazinon) while the Pattern A is decreased distinctively. This study demonstrates that artificial neural networks are useful method for detecting presence of toxicoid in environment as for an alternative of in-situ behavioral monitoring tool.

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A Study of In-sole Plantar Pressure Distribution in Functional Tennis Shoes (기능성 전문테니스화의 족저압력분포 분석)

  • Lee, J.S.;Kim, Y.J.;Park, S.B.
    • Korean Journal of Applied Biomechanics
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    • v.14 no.3
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    • pp.99-118
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    • 2004
  • The aim of this study is to evaluate tennis shoes's plantar pressure distribution in tennis prayers and to determine the influence of the shoe on various tennis movements. When investigating the biomechanics of movement in tennis, one of the first things to do is to understand the movement patterns of the sport, specifically how these patterns relate to different tennis shoes. Once these patterns are understood, footwear company can design tennis shoes that match the individual needs of tennis players. Plantar pressure measurement is widely employed to study foot function, the mechanical pathogenesis for foot disease and as a diagnostic and outcome measurement tool for many performance. Measurements were taken of plantar pressure distribution across the foot and using F-Scan(Tekscan Inc.) systems respectively. The F-Scan system for dynamic in-shoe foot pressure measurements has enabled us to assess quantitatively the efficacy of different types of footwear in reducing foot pressures. The Tekscan F-Scan system consists of a flexible, 0.18mm thick sole-shape having 1260 pressure sensors, the sensor insole was trimmed to fit the subjects' right, left shoes. For this study 4 university male, high level tennis players were instructed to hit alternated forehand stroke, backhand stroke, forehand volley, backhand volley, smash, service movement in 4 different tennis shoes. 1. When impact in tennis movement, peak pressure distribution of landing foot displayed D>C>B>A, A displayed the best low pressure distribution. A style's tennis shoes will suggest prayer with high impact. If prayer with high impact feeling during pray in tennis wear A style, it will decrease injury, will have performance improvement. 2. When impact in tennis movement, plantar pattern of pressure distribution in landing foot displayed B>A>C>D in stability performance. During tennis, prayer want to stability movement suggest B style tennis shoes when tennis movement impact keep stability of human body. B style tennis shoes give performance improvement 3. When impact in tennis movement, plantar pattern of center of force(C.O.F.)trajectory in landing foot analyzed this : 1) When stroke movement and volley movement in tennis, prayer better to rearfoot movement. 2) when service movement, prayer midfoot strike movement. 3) when smash movement, prayer have forefoot strike movement.

Differences in Eye Movement Pattern during the Classification between the Gifted and General Students in Elementary Schools (초등과학영재와 일반 아동의 분류 과정에서 나타나는 안구 운동 패턴의 차이)

  • Choi, Hyun-Dong;Shin, Won-Sub;Shin, Dong-Hoon
    • Journal of Korean Elementary Science Education
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    • v.31 no.4
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    • pp.501-512
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    • 2012
  • The purpose of this study was to identify the differences in eye movement pattern shown in classification activities between the gifted and regular students in elementary schools. The subjects for the research consisted of five gifted students in the special education center for the gifted at Seoul National University of Education and five students at D regular elementary schools. SMI (Senso Motoric Instruments)' iView $X^{TM}$ RED 120 Hz was used in order to collect eye movement data. Results were as follows. There were difference patterns between the gifted and the regular student in question identification, attribute observation, and criteria generation process. Gifted students minimized unnecessary cognitive overload and took advantage of cognitive economic efficiency. Regular students have a lot of cognitive burden because they did not grasp the essential information.

Vowel Formant Trajectory Patterns for Shared Vowels of American English and Korean

  • Chung, Hyun-Ju;Kong, Eun-Jong;Weismer, Gary
    • Phonetics and Speech Sciences
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    • v.2 no.4
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    • pp.67-74
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    • 2010
  • The purpose of this study was to explore the cross-linguistic difference in the spectral movement pattern of American English and Korean vowels. Eight American vowels /a/, /e/, /$\varepsilon$/, /i/, /I/, /o/, /u/, and /$\mho$/, and five Korean vowels, /a/, /e/, /i/, /o/ and /u/ in a fricative-vowel environment produced by adult speakers of each language were analyzed. The spectral movement patterns of the first two formant frequency values were measured and analyzed. The results showed that Korean vowels had minimal spectral movement, both in F1 and F2 values, as compared to American English vowels. Moreover, no consistent direction of movement was found in the three corner Korean vowels, while American English vowels showed consistent direction of movement for each vowel of the same phonemic category.

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Predicting Common Moving Pattern of Livestock Vehicles by Using GPS and GIS: A case study of Jeju Island, South Korea

  • Qasim, Waqas;Jo, Jae Min;Jo, Jin Seok;Moon, Byeong Eun;Ko, Han Jong;Son, Won Geun;Son, Se Seung;Kim, Hyeon Tae
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.31-31
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    • 2017
  • On farm evaluation for the control of airborne diseases like FMD and flu virus has been done in past but control of disease in process of transportation of livestock and manures is still needed. The objective of this study was to predict a common pattern of livestock vehicles movement. The analysis were done on GPS data, collected from drivers of livestock vehicles in Jeju Island, South Korea in year 2012 and 2013. The GPS data include the coordinates of moving vehicles according to time and dates, livestock farms and manure keeping sites. 2012 year data was added to ArcGIS and different tools were used for predicting common vehicle moving pattern. The common pattern of year 2012 were determined and considered as predicted common pattern for year 2013. To compare with actual pattern of year 2013 the same analysis was done to find the difference in 2012 and 2013 pattern. When the manure keeping sites and livestock farms were same in both years, as a result common pattern of 2012 and 2013 were similar but difference were found in patterns when the manure keeping sites and livestock farms were changed. In future for more accurate results and to predict the accurate pattern of vehicles movement, more dependent and independent variables will be required to make a suitable model for prediction.

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