• Title/Summary/Keyword: motion classification

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Efficient Hole Searching Algorithm for the Overset Grid System with Relative Body Motion (상대운동이 있는 중첩격자계에 효율적인 Hole Searching Algorithm 개발)

  • Lee, Seon-Hyeong;Chae, Sang-Hyun;Oh, Se-Jong;Yee, Kwan-Jung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.11
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    • pp.995-1004
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    • 2011
  • Object X-ray method commonly used for hole search in overset grids requires huge amount of time due to complicated vector calculations to search the cross-points as well as time-consuming hole search algorithm with respect to background grids. Especially, when the grid system is in motion relative to the background, hole points should be searched at every time step, leading to hung computational burden. To cope with this difficulties, this study presents an efficient hole search algorithm mainly designed to reduce hole searching time. To this end, virtual surface with reduced grid points is suggested and logical operators are employed as a classification algorithm instead of complicated vector calculations. In addition, the searching process is further accelerated by designating hole points in a row rather than discriminating hole points with respect to each background grid points. If there exists a relative motion, the present algorithm requires much less time because only the virtual surface needs to be moved at every time step. The hole searching time has been systematically compared for a few selected geometries.

Fuzzy Algorithm Development for the Integration of Vehicle Simulator with All Terrain Unmanned Vehicle (험로 주행용 무인차량과 차량 시뮬레이터의 융합을 위한 퍼지 알고리즘 개발)

  • Yun, Duk-Sun;Yu, Hwan-Sin;Lim, Ha-Young
    • Journal of Intelligence and Information Systems
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    • v.11 no.2
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    • pp.47-57
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    • 2005
  • In this research, the main theme is the system integration of driving simulator and unmanned vehicle. The total system is composed of the mater system and the slave system. The master system has a cockpit system and the driving simulator. The slave system means an unmanned vehicle, which is composed of the actuator system the sensory system and the vision system. The communication system is composed of RS-232C serial communication system which combines the master system with the slave system. To integrate both systems, the signal classification and system characteristics considered DSP(Digital Signal Processing) filter is designed with signal sampling and measurement theory. In addition, to simulate the motion of tele-operated unmanned vehicle on the driving simulator, the classical washout algorithm is applied to this filter, because the unmanned vehicle does not have a limited working space, while the driving simulator has a narrow working space and it is difficult to cover all the motion of the unmanned vehicle. Because the classical washout algorithm has a defect of fixed high pass later, fuzzy logic is applied to reimburse it through an adaptive filter and scale factor for realistic motion generation on the driving simulator.

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Clinical presentation and specific stabilizing exercise management in Lumbar segmental instability (요추분절의 불안정성에 대한 임상적 소개와 안정성 운동관리)

  • Jung Yeon-Woo;Bae Sung-Soo
    • The Journal of Korean Physical Therapy
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    • v.15 no.1
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    • pp.155-170
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    • 2003
  • Lumbar segmental instability is considered to represent a significant sub-group within the chronic low back pain population. This condition has a unique clinical presentation that displays its symptoms and movement dysfunction within the neutral zone of the motion segment. The loosening of the motion segment secondary to injury and associated dysfunction of the local muscle system renders it biomechanically vulnerable in the neutral zone. There in evidence of muscle dysfunction related to the control of the movement system. There is a clear link between reduced proprioceptive input, altered slow motor unit recruitment and the development of chronic pain states. Dysfunction in the global and local muscle systems in presented to support the development of a system of classification of muscle function and development of dysfunction related to musculoskeletal pain. The global muscles control range of movement and alignment, and evidence of dysfunction is presented in terms of imbalance in recruitment and length between the global stability muscles and the global mobility muscles. The local stability muscles demonstrate evidence of failure of aeequate segmental control in terms of allowing excessive uncontrolled translation or specific loss of cross-sectional area at the site of pathology Motor recruitment deficits present as altered timing and patterns of recruitment. The evidence of local and global dysfunction allows the development of an integrated model of movement dysfunction. The clinical diagnosis of this chronic low back pain condition is based on the report of pain and the observation of movement dysfunction within the neutral zone and the associated finding of excessive intervertebral motion at the symptomatic level. Four different clinical patterns are described based on the directional nature of the injury and the manifestation of the patient's symptoms and motor dysfunction. A specific stabilizing exercise intervention based on a motor learning model in proposed and evidence for the efficacy of the approach provided.

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Effect of dimensionless number and analysis of gait pattern by gender -spatiotemporal variables- (보행 분석시 Dimensionless number의 효과 및 성별간 보행패턴 분석 -시공간변인-)

  • Lee, Hyun-Seob
    • 한국체육학회지인문사회과학편
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    • v.53 no.5
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    • pp.521-531
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    • 2014
  • The purposes of this study were to evaluate the effect of normalization by dimensionless number of Hof(1996) and to analysis the gait pattern for 20s Korean males and females. Subjects are selected in accordance with classification system of Korean standard body figure and age. Experimental equipment is the Motion capture system. Subjects who are walked at a self-selected normal walking speed were photographed using the Motion capture system and analyzed using 3D motion analysis method with OrthoTrak, Cortex, Matlab and SPSS for a statistical test. When used to normalize data, there are no differences of statistical significances between gender in all spatiotemporal variables. I concluded that gait research for mutual comparison requires a normalization by dimensionless number to eliminate the effects of the body size and to accurate statistical analysis.

Remote Drawing Technology Based on Motion Trajectories Analysis (움직임 궤적 분석 기반의 원거리 판서 기술)

  • Leem, Seung-min;Jeong, Hyeon-seok;Kim, Sung-young
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.2
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    • pp.229-236
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    • 2016
  • In this paper, we suggest new technology that can draw characters at a long distance by tracking a hand and analysing the trajectories of hand positions. It's difficult to recognize the shape of a character without discriminating effective strokes from all drawing strokes. We detect end points from input trajectories of a syllable with camera system and localize strokes by using detected end points. Then we classify the patterns of the extracted strokes into eight classes and finally into two categories of stroke that is part of syllable and not. We only draw the strokes that are parts of syllable and can display a character. We can get 88.3% in classification accuracy of stroke patterns and 91.1% in stroke type classification.

A Review Study on Movement System Impairment Syndromes (동태손상(動態損傷) 증후군(症候群)에 관한 연구 현황 고찰)

  • Kim, Jeong-Kyun;Kim, Hyun-Ho;Seo, Jae-Ho;Kim, Dong-Won;Park, Young-Jae;Park, Young-Bae
    • The Journal of Korean Medicine
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    • v.33 no.1
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    • pp.79-89
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    • 2012
  • Objectives: Sahrmann, an American physical therapist, has developed a set of movement-related diagnoses on musculoskeletal pain syndromes (MPS). We reviewed articles for studies of objectification and quantification of Oriental medicine diagnosis system about MPS. Methods: The authors reviewed a total of 12 studies found on PubMed to obtain movement system impairment (MSI)-based classification categories. Results: The MSI system has been developed for objectification and quantification of physical therapists' MPS diagnoses. The MSI system of classification is based on the basic premise that loss of precise movement is the result of specific repetitive movements and positions in everyday life. The MSI system defines 8 categories in the shoulder region, 5 in the lumbar region, and 7 in the knee region. Treatment involves (1) educating the person about the specific directions of alignment and movement that appear to be contributing to the musculoskeletal problem, (2) modifying the direction - specific alignment and movement patterns during daily activities, and (3) exercises to address the impairments. Conclusions: The authors propose that MSI studies could help to advance an Oriental medical diagnosis system on musculoskeletal pain syndromes, because MSI shares similarity with Oriental medicine in terms of holism, views of constant motion, and mi-byung (subhealth) treatment.

The Adopting C4.5 classification and it's Application for Deinterlacing (디인터레이싱을 위한 C4.5 분류화 기법의 적용 및 구현)

  • Kim, Donghyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.1
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    • pp.8-14
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    • 2017
  • Deinterlacing is a method to convert interlaced video, including two fields (even and odd), to progressive video. It can be divided into spatial and temporal methods. The deinterlacing method in the spatial domain can easily be hardware-implemented, but yields image degradation if information about the deinterlaced pixel does not exist in the same field. On the other hand, the method in the temporal domain yields a deinterlaced image with higher quality but uses more memory, and hardware implementation is more difficult. Furthermore, the deinterlacing method in the temporal domain degrades image quality when motion is not estimated properly. The proposed method is for deinterlacing in the spatial domain. It uses several deinterlacing methods according to statistical characteristics in neighboring pixel locations. In this procedure, the proposed method uses the C4.5 algorithm, a typical classification algorithm based on entropy for choosing optimal methods from among the candidates. The simulation results show that the proposed algorithm outperforms previous deinterlacing methods in terms of objective and subjective image quality.

Treatment of Infected Tibial Nonunion Combined with Soft Tissue Defect (Effectiveness of Simultaneous Free-tissue Transfer and Ilizarov Distraction Osteogenesis) (연부조직 결손을 동반한 감염성 경골 불유합 및 골결손의 치료(유리피판술과 동시에 시행한 Ilizarov기구를 이용한 골연장술의 유용성))

  • Song, June-Young;Jung, Heun-Guyn;Seo, Seung-Yong;Jang, Hyun-Ho
    • Archives of Reconstructive Microsurgery
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    • v.14 no.1
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    • pp.37-41
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    • 2005
  • Purpose: The purpose of this study was to evaluate the effectiveness of internal transport using Ilizarov apparatus with free flap surgery for infected tibial nonunion. Materials and Methods: We reviewed 8 patients of infected tibial nonunion treated with internal transport using Ilizarov apparatus and free flap surgery. Seven of eight patients were available for at least 1 year follow-up. All patients were male. The mean age at the time of the surgery was All fractures were Gustilo's type III B open fracture. The mean length of the bone defect was 8.5 cm. All used flaps for covering the soft tissue defect were free rectus abdominis muscle flap. We evaluated bone and functional results with use of the Paley and Catagni's classification. And we classified the complication with use of the Paley's classification. Results: Acceptable length and solid union of bone was achieved in all cases. The mean size of the bone length was 7.2 cm. The mean healing index was 69.5 days/cm. All but one case needed bone graft at docking site. All flaps were survived. There was no recurrence of infection. According to Paley and Catagni's classification, all cases showed excellent or good results. Complications were pin tract infection in 3 cases, persistent pain in 2 cases and limitation of joint motion in 2 cases. Conclusion: Simultaneous free-tissue transfer and Ilizarov distraction osteogenesis was thought to be an attractive treatment modality for infected nonunion of the tibia.

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Hand Gesture Recognition using Multivariate Fuzzy Decision Tree and User Adaptation (다변량 퍼지 의사결정트리와 사용자 적응을 이용한 손동작 인식)

  • Jeon, Moon-Jin;Do, Jun-Hyeong;Lee, Sang-Wan;Park, Kwang-Hyun;Bien, Zeung-Nam
    • The Journal of Korea Robotics Society
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    • v.3 no.2
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    • pp.81-90
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    • 2008
  • While increasing demand of the service for the disabled and the elderly people, assistive technologies have been developed rapidly. The natural signal of human such as voice or gesture has been applied to the system for assisting the disabled and the elderly people. As an example of such kind of human robot interface, the Soft Remote Control System has been developed by HWRS-ERC in $KAIST^[1]$. This system is a vision-based hand gesture recognition system for controlling home appliances such as television, lamp and curtain. One of the most important technologies of the system is the hand gesture recognition algorithm. The frequently occurred problems which lower the recognition rate of hand gesture are inter-person variation and intra-person variation. Intra-person variation can be handled by inducing fuzzy concept. In this paper, we propose multivariate fuzzy decision tree(MFDT) learning and classification algorithm for hand motion recognition. To recognize hand gesture of a new user, the most proper recognition model among several well trained models is selected using model selection algorithm and incrementally adapted to the user's hand gesture. For the general performance of MFDT as a classifier, we show classification rate using the benchmark data of the UCI repository. For the performance of hand gesture recognition, we tested using hand gesture data which is collected from 10 people for 15 days. The experimental results show that the classification and user adaptation performance of proposed algorithm is better than general fuzzy decision tree.

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Estimation of Nurse Staffing Based on Nursing Workload with Reference to a Patient Classification System for a Intensive Care Unit (중환자의 중증도에 따른 적정 간호인력 수요 산정)

  • Park, Young Sun;Song, Rhayun
    • Journal of Korean Critical Care Nursing
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    • v.10 no.1
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    • pp.1-12
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    • 2017
  • Purpose: This study aimed to estimate the appropriate nurse staffing ratio in intensive care units (ICUs) by measuring nursing workload based on patient's severity and needs, using the Korean Patient Classification System for critical care nurses. Methods: The data were collected from January 18 to February 29, 2016 using a standardized checklist by observation or self-report. During the study period, 723 patients were included to be categorized from I to IV using the patient classification system. Measurement of total nursing workload on a shift was calculated in terms of hours based on the time and motion method by using tools for surveying nursing activities. The nursing activities were categorized as direct nursing care, indirect nursing care, and personal time. Total of 127 cases were included in measuring direct nursing time and 18 nurses participated in measuring indirect and personal time. Data were analyzed using descriptive statistics. Results: Two patients were classified into Class I (11.1%), 5 into Class II (27.8%), 9 into Class III (50%), and two into Class IV (11.1%). The amount of direct nursing care required for Class IV (513.7 min) was significantly more than that required for Class I (135.4 min). Direct and indirect nursing care was provided more often during the day shift as compared to the evening or night shifts. These findings provided the rationale for determining the appropriate ratio for nursing staff per shift based on the nursing workload in each shift. Conclusions: An appropriate ratio of nurse staffing should be ensured in ICUs to re-arrange the workload of nurses to help them provide essential direct care for patients.

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