• Title/Summary/Keyword: Movement Pattern Analysis

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Implementation of a Flexible Architecture for a Mobile Power Cart Applying Design Patterns (설계 패턴을 이용한 모바일 파워 카트의 유연한 아키텍처 구현)

  • Lee, Jong Min;Kim, Seong Woo;Kwon, Oh Jun
    • Journal of Korea Multimedia Society
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    • v.19 no.4
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    • pp.747-755
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    • 2016
  • Automated guided vehicles have been used for a long time to increase work efficiency in the logistics field, but it is difficult to apply to a variety of logistics sites due to either the restricted movement mechanism or expensive devices. In this paper, we present a flexible software architecture that is hardware-independent for a mobile power cart of the follow mode and implement it using a ROS software platform. Through the SCV analysis for the system functionalities, we design a package to track a user movement and a package to control a new hardware platform. It has an advantage to use a variety of movement algorithms and hardware platforms by applying the strategy pattern and the template method pattern for the design of a software architecture. Through the performance evaluation, we show that the proposed design is maintainable in terms of a software complexity and it detects a user's movement by obtaining a user skeleton information so that it can control a hardware platform to move at a certain distance.

A Analysis of Freight Volume and Freight Truck Flows for Efficient Urban Goods Movement at Incheon City (인천시의 효율적인 도시물류정비를 위한 화물물동량 및 화물차의 유동특성분석)

  • Yun, Jeong Mi;Park, Sang Chul
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.2
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    • pp.166-174
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    • 2005
  • Plan of Logistics facility and Management of Freight trucks need for Efficient Improvement of Urban Goods Movement. For this, it need to clear flow pattern of Freight volumes and Freight trucks on urban space. Therefor, The purpose of this study is to clear space flow pattern of Freight volumes and Freight trucks as base data for Plan of Urban Goods Movement on Incheon city. Incheon city is selected because it is at sea & air ports and carries out various Activity of Urban Goods Movement. As the result of this study, it understands and analyzes Characteristic on flow pattern of Freight volumes and Freight trucks. Through this study, we'll expect that this results could be contributed in the understand of actual conditions of Freight volume and freight trucks and the basic data for Improvement of urban goods movement and the management policy of freight trucks in urban goods movement.

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Analysis of Seasonal Air Parcel Movement Pattern in South-Eastern Part of the Korean Peninsula Using WRF/FLEXPART (WRF/FLEXPART를 이용한 한반도 동남지역 계절별 공기괴 이동 패턴 분석)

  • Lee, Hyun-Mi;Lee, Hwa-Woon;Lee, Soon-Hwan
    • Journal of Environmental Science International
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    • v.21 no.3
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    • pp.327-337
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    • 2012
  • Air pollution inventories are aggregated around south-eastern part of the Korean Peninsular including Busan, Ulsan, and Changwon cities. Because densely populated cities are concentrated in this region, air pollutants emitted from one of these cities tend to be impacted on the air quality of other cities. In order to clarify the seasonal movement pattern of emitted particles, several numerical simulations using WRF/FLEXPART were carried out. Four cases were selected for each season. The Weather Research and Forecasting model (WRF) reproduced atmospheric flow fields with nested grids. The seasonal pattern of air mass of study area was determined by backward and forward trajectories. As a result, the air parcel moves from northwest to southeast due to northwesterly winds in spring and winter. Also air parcel transports from south to north in summer, and moves from west to east. Because the air mass moves differently in each season, these characteristics should be considered when performing air quality analysis.

Biomechanical Analysis of Pelvic Pattern in Proprioceptive Neuromuscular Facilitation (고유수용성신경근촉진법 골반패턴의 생역학적 분석)

  • Bae Sung-Soo;Chung Hyun-Ae;Choi Jae-Won;Hwangbo Gak
    • The Journal of Korean Physical Therapy
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    • v.11 no.1
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    • pp.137-141
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    • 1999
  • Proprioceptive neuromuscular facilitation(PNF), pelvic patterns are very important for orthopaedic and neurologic patient. It is an essential treatment techniques for motor developmental disorder. CVA, lumbar disk, muscle weekness and pain control of lumbar, pelvic and lower extremity, Pelvic patterns of PNP has 4 different type of basic pattern. each of them is combinding of movement plane and functional movement. Biomechanically most of PNF patterns are a concentric contraction with third-class lever. But the movement pattern have a technique of combination of isotonic that should make a eccentric contraction with second-class lever.

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Biomechanical Analysis of Scapular Pattern in Proprioceptive Neuromuscular Facilitation (고유수용성 신경근촉진법 견갑골패턴의 생역학적 분석)

  • Bae Sung-Soo;Choi Jae-Won;Chung Hyun-Ae;Seo Hyun-Kyu
    • The Journal of Korean Physical Therapy
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    • v.11 no.3
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    • pp.65-69
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    • 1999
  • Proprioceptive neuromusculat facilitation(PNF), scapular patterns are very important for orthopaedic and neurologic patients. It is an essential treatment techniques for motor developmental disorder, CVA, cervical disk, frozen shoulder and pain control of cervical, shoulder girdle and upper extremity. Scapular patterns of PNF has 4 different type of pattern. each of them in combining of movement plane and functional movement. Biomechanically, most of PNF patterns are a concentric contraction with third-claw lever. But the movement pattern have a technique of combination of isotonic that should make a eccentric contraction with second-claw lever.

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Behavior Pattern Analysis System based on Temporal Histogram of Moving Object Coordinates. (이동 객체 좌표의 시간적 히스토그램 기반 행동패턴분석시스템)

  • Lee, Jae-kwang;Lee, Kyu-won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.571-575
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    • 2015
  • This paper propose a temporal histogram -based behavior pattern analysis algorithm to analyze the movement features of moving objects from the image inputted in real-time. For the purpose of tracking and analysis of moving objects, it needs to be performed background learning which separated moving objects from the background. Moving object is extracted as a background learning after identifying the object by using the center of gravity and the coordinate correlation is performed by the object tracking. The start frame of each of the tracked object, the end frame, the coordinates information and size information are stored and managed by the linked list. Temporal histogram defines movement features pattern using x, y coordinates based on time axis, it compares each coordinates of objects for understanding its movement features and behavior pattern. Behavior pattern analysis system based on temporal histogram confirmed high tracking rate over 95% with sustaining high processing speed 45~50fps through the demo experiment.

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Groundwater Movement Analysis Using the WINFLOW Model (WINFLOW 모델을 이용한 지하수 유동해석)

  • 최윤영;안승섭;김재광
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.45 no.3
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    • pp.103-115
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    • 2003
  • This study examines groundwater movement system analysis and movement forecast algorithm using finite element method. The target is Cheongha-myeon area, Bukgu, Pohang-city which has many difficulties in water supply during drought period. From the comparison of the differences between obtained values by WINFlOW model and observed values, it is thought that groundwater head distribution under steady flow is reflected well at the level of reliability Groundwater movement of study area shows stable pattern from western watershed to eastern coastal area while flow path is dense and steep in the center of the coastal area. The results of particle tracing for each well show a comparatively straight line from the western boundary side to the observation position at the upper area of the well, and are analyzed as it diffuses according to getting closer to the coast at the lower area of the well. The result of effect circle examination attendant on pumping amount in study area shows variation tendency that groundwater head decreases at the side and the lower area more than at the upper area of the well when groundwater flows from west to east(coast). As mentioned above, satisfactory results of groundwater movement analysis using WINFlOW model, two dimensional groundwater movement analysis model, are obtained through the great decrease of physical uncertainty of groundwater movement system.

Practical Use of Apparel CAD System by the Classification of Basic Pattern Block (패턴의 Block화(化)에 의(依)한 어패럴 CAD System의 활용(活用))

  • Lee, Hyoung Sook;Kim, Ok Kyung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.17 no.3
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    • pp.391-406
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    • 1993
  • The purpose of this study was to utilize of apparel CAD System by the classification of the basic pattern block in pattern making process. Gerber AM-300 CAD System was used for this study. The results form this study were as follows; 1. New shirts block were developed. 2. The sensory test was applied to evaluate the new shirts block for women by comparing it with Japanese Bunka shirts blouse pattern making method. According to a statistical analysis of the result of the 20 items on the questionnaire, the 19 items showed significant difference(${\alpha}{\leq}0.01$)between the two, with the new shirts block having higher scores. 3. A basic pattern block was selected by the design sketch. 4. P/D/S were enabled to be constructed directly from a block pattern. The drawing, deletion. duplication, and movement of all points and lines in the pattern might be made freely, and the split, pivot, and movement of the pattern, and the attachment of two patterns were possible. 5. Automatic grading of finished pattern have been developed by creation and modification of grading rules of block pattern.

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Analysis study of movement patterns using BigData analysis technology (BigData 분석 기법을 활용한 이동 패턴 분석 연구)

  • Yun, Jun-Soo;Kang, Hee-Soo;Moon, Il-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1073-1079
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    • 2014
  • One of the techniques that are most in the spotlight today, it can be said that Big data. With Big Data, technologies already prevalent in our lives is GPS. Based on the GPS data and Big Data, in this paper, we try to analyze the pattern and path of movement of a particular target. Specific target collects the GPS data by classifying weather and grade and sex of college students, and day of the week in college students of one university. The collected data is analyzed such as movement path, movement time, pattern of repetitive behavior. And visualize it. The analysis method will be classified according to the purpose of data. By identifying relationships with other data results obtained. Based on the present study, the future, we will derive the results of the data more reliable. For this purpose, a wide range of information to be collected will additionally. Research will be developed add to such as Season, time, blood type, occupation data.

Quantitative Analysis of C. elegans Mutant Type Using Movement and Reversal Features

  • Nah Won;Baek Joong-Hwan
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.417-420
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    • 2004
  • Caenorhabditis (C) elegans is often used in genetic analysis in neuroscience because its simple organism; an adult hermaphrodite contains only 302 neuron. So the worm is often used to study of cancer, alzheimer disease, aging, etc. To analysis mutant type of the worm, an experienced observer was able to subjectively before, but requirements for objective analysis are now increasing. For this reason, we use automated tracking systems to extract global movement coordinate of the worm. In this paper, we extract features, which are related on reversal and movement of the worm. Using these features, we quantitatively analysis 6 type mutant by movement and reversal characteristic.

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