• Title/Summary/Keyword: 진동 패턴

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The Effect of the PNF Pattern Combined with Whole-Body Vibration on Muscle Strength, Balance, and Gait in Patients with Stroke Hemiplegia (전신진동자극훈련을 병행한 PNF 결합패턴 훈련이 뇌졸중환자의 근력, 균형 및 보행에 미치는 효과)

  • Choi, Kwang-Yong;Jeong, Hee-Yeon;Maeng, Gwan-Cheol
    • PNF and Movement
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    • v.15 no.2
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    • pp.185-194
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    • 2017
  • Purpose: The purpose of this study was to prove the effects of the PNF patterns combined with whole-body vibration (PWBV) training on muscle strength, balance, walking speed, and endurance in stroke patients. Methods: Sixteen subjects were randomly assigned to the PWBV group (n=8) and the whole-body vibration (WBV) group (n=8). The PWBV group performed PNF pattern exercises using sprinter combined with WBV, while the WBV group performed using squatting for 30 minutes. Both groups performed therapeutic interventions five days per week over a period of four weeks. The manual muscle test, timed up and go test (TUG), 10-meter walk test (10MWT), and six-minute walk test (6MWT) were used to assess the muscle strength, balance, and gait of the participants. The SPSS Ver. 19.0 statistical program was used for data processing. Statistical analysis included a pared t-test to compare the pre- and post-intervention, and an independent t-test was used to compare groups. The significance level was set as 0.05. Results: The PWBV group and WBV group showed significant improvements in the TUG, 10MWT, and 6MWT (P<0.05). Significant differences between the PWBV and WBV groups were found (P<0.05). Conclusion: The PWBV improved muscle strength, balance, gait speed, and endurance in stroke patients. Thus, PWBV may be suggested as a therapeutic intervention in patients with stroke hemiplegia.

The Circular Center Cut with Large Empty Hole & Pre-Splitting in Tunnel Blasting (터널에서 대구경 무장약공과 선균열을 이용한 심빼기 공법에 관한 연구)

  • 김재홍;임한욱
    • Tunnel and Underground Space
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    • v.11 no.3
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    • pp.248-256
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    • 2001
  • The cylindrical cut is most frequently used in tunnel blast regardless of their dimensions. In this study the new parallel cut is proposed to raise advance per round, which is considered to be an elevation of the traditional cylinder cuts. The general geometric pattern of a new cut with parallel blast holes is proposed. The detailed burden and spacing between the central blasthole and those of the four section are also given. The blast results between new cut and traditional cylinder cut are given. The main results of this study are as follows. 1) The average advances per rounds in new cuts can reach 99.5% of drilling length. That of traditional cylinder cuts are known approximately 90∼95% 2) Specific charge weight of new cut compare to that of cylinder cut is approximately reduced 5% from 1.363 to 1.297 kg/㎥ 3) Specific drilling rate is also reduced 8% from 2.393 to 2.130 m/㎥ 4) Vibrations, fly rock, and fragmentation produced by the new blast are to be proved superior to those of the traditional cylinder cuts.

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Analysis of non-extension line on upper body using 3D scanning (3차원 스캔을 활용한 상체 피부표면의 Non-extension line 분석)

  • Choe, Ji-Yeong;O, Yeom-Gun;Hong, Gyeong-Hui;Seo, Hye-Won;Kim, Si-Jo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2009.05a
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    • pp.239-242
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    • 2009
  • 최근 3 차원 측정 기술을 활용한 운동 기능성의 향상을 위한 연구가 활발히 진행되고 있다. 그 예로 3 차원 인체 정보를 이용한 의복패턴 제작 시에 필요한 절개선으로 피부상에서 동작 시 늘어나지 않는 선(Lines of Non-Extension, LoNE)을 찾아내어 활용한 연구가 발표된 바 있다. 이러한 LoNE 은 기존 의복구성을 위한 봉제선이나 기능선으로 활용될 때 동작기능성을 저해하지 않는 특징이 있다. 이에 본 연구에서는 스포츠웨어에서 활동성이 큰 상체의 어깨부위에서 Lines of Non-Extension 을 탐색하고자 하였다. 연구 방법으로는 20 대 후반 남성 2 명을 대상으로 체표의 등 부분에서 3cm 간격으로 계측점을 표시한 후 3D 인체 데이터 (Cyberware, WB)를 획득하였다. 측정시의 자세는 팔을 $30^{\circ}$, $90^{\circ}$, $135^{\circ}$, $180^{\circ}$ 외전시켰다. 피부 표면에서의 길이 변화는 구획의 크기를 달리하면서 가로, 세로, 사선방향으로 동작에 따라서 측정하였다. 변화량은 정자세($30^{\circ}$)를 기준으로 A 라 하였을 때, 기준자세와의 차이가 가장 큰 변화량을 보인 자세를 B 라 하고 A 와 B 간의 차이로 계산하였다. 연구결과, NASA 의 Biosuit 에서 소개된 Iberall(1970)의 LoNE 중 진동둘레를 포함한 팔 부위와 등, 어깨 부위에서 유사한 라인을 찾았다. 본 연구에서와 같이 구획별 사선방향 피부 변화량을 측정하는 것은 피부면에 숨겨진 인간공학적 의복 기능선을 탐색하는 데 효과적임을 확인하였다.

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Effect of Pressure on the Magnetic Properties of Magnetite Nanoparticles Synthesized Using a High Pressure Homogenizer (고압 균질기의 압력이 마그네타이트 나노입자의 자기 특성에 미치는 영향)

  • Ji, Sung Hwa;Kim, Hyun Hyo;Kim, Hyojin
    • Journal of the Korean Magnetics Society
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    • v.26 no.6
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    • pp.190-195
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    • 2016
  • We report the effect of pressure varying from 0 to 1500 bar on the magnetic properties of magnetite nanoparticles synthesized from $Fe(OH)_2$ suspension using a high pressure homogenizer without any dispersing agent and oxidant. The observed X-ray diffraction (XRD) patterns showed that all the synthesized nanoparticles had the inverse spinel structure of magnetite. It was found from transmission electron microscopy (TEM) and XRD analysis that the average size of the synthesized magnetite particles could be controlled by the pressure of the high pressure homogenizer. The average particle size was found to range from 21 to 26 nm and decrease with increasing pressure. Magnetic hysteresis measurements performed at room temperature using a vibrating sample magnetometer (VSM) revealed the appearance of a superparamagnetic behavior in the magnetite nanoparticles synthesized at a pressure of 1500 bar.

The Characteristic Analysis of Thin Film Sensor using The Membrane (Membrane을 이용한 박막센서 특성 분석)

  • 이순우;김상훈;안진호
    • Journal of the Microelectronics and Packaging Society
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    • v.9 no.3
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    • pp.37-41
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    • 2002
  • In this research, we investigate the properties of membrane and thin film sensor which is using magnetic resonance properties. we expect to $Si_xN_y$ and SiC materials as membrane materials, we measured thin film stress and properties to find the best membrane fabrication condition. Of the two membrane, $Si_xN_y$ thin film is the better than SiC thin film. because of an adequate tensile stress and lower thermal expansion coefficient as sensor structure layer. After performing deposition and patterning thin film sensor material on $Si_xN_y$, we analyzed the magnetic hysteresis and magnetic resonance frequency of sensor. If the magnetic field which is applied in sensor material is removed, magnetization made by magnetic field is transited to elastic mode. moreover. energy radiation is induced during the transition and voltage generates in sensor by energy radiation. At this moment, If voltage generation period is longer, mechanical vibration is induced and signal is generated by mechanical vibration. we also see that as the increase of thin film sensor' length and width, magnetic resonance frequency is decreased.

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Implementation of Attitude measurement monitoring system and application according to pressure distribution (압력 분포에 따른 자세 측정 모니터링 시스템 및 어플리케이션 구현)

  • Jo, Yong-Woon;Ha, Eun-Gyo;Noh, Yun-Hong;Jeong, Do-Un
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.629-630
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    • 2017
  • Recently, the number of patients with habitual vertebrae is increasing due to inappropriate postures and habits while sitting on a chair for a long time, because modern people have a great deal of work and studying due to a lot of work and study. Therefore, it is necessary to prevent such a disease through real-time monitoring and to present a guide for the user to recognize the importance of correct posture. In this study, we implemented a posture discrimination system which can help users to calibrate posture by judging the user's sitting position and feedback by using a pressure sensor based weight distribution system. We analyzed the distribution pattern of body weight to determine one normal posture and six abnormal postures. If the abnormal posture is maintained constantly, the implementation of the application that induces the right posture by ringing the notification is described.

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A fundamental study on the automation of tunnel blasting design using a machine learning model (머신러닝을 이용한 터널발파설계 자동화를 위한 기초연구)

  • Kim, Yangkyun;Lee, Je-Kyum;Lee, Sean Seungwon
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.5
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    • pp.431-449
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    • 2022
  • As many tunnels generally have been constructed, various experiences and techniques have been accumulated for tunnel design as well as tunnel construction. Hence, there are not a few cases that, for some usual tunnel design works, it is sufficient to perform the design by only modifying or supplementing previous similar design cases unless a tunnel has a unique structure or in geological conditions. In particular, for a tunnel blast design, it is reasonable to refer to previous similar design cases because the blast design in the stage of design is a preliminary design, considering that it is general to perform additional blast design through test blasts prior to the start of tunnel excavation. Meanwhile, entering the industry 4.0 era, artificial intelligence (AI) of which availability is surging across whole industry sector is broadly utilized to tunnel and blasting. For a drill and blast tunnel, AI is mainly applied for the estimation of blast vibration and rock mass classification, etc. however, there are few cases where it is applied to blast pattern design. Thus, this study attempts to automate tunnel blast design by means of machine learning, a branch of artificial intelligence. For this, the data related to a blast design was collected from 25 tunnel design reports for learning as well as 2 additional reports for the test, and from which 4 design parameters, i.e., rock mass class, road type and cross sectional area of upper section as well as bench section as input data as well as16 design elements, i.e., blast cut type, specific charge, the number of drill holes, and spacing and burden for each blast hole group, etc. as output. Based on this design data, three machine learning models, i.e., XGBoost, ANN, SVM, were tested and XGBoost was chosen as the best model and the results show a generally similar trend to an actual design when assumed design parameters were input. It is not enough yet to perform the whole blast design using the results from this study, however, it is planned that additional studies will be carried out to make it possible to put it to practical use after collecting more sufficient blast design data and supplementing detailed machine learning processes.

Initial results from spatially averaged coherency, frequency-wavenumber, and horizontal to vertical spectrum ratio microtremor survey methods for site hazard study at Launceston, Tasmania (Tasmania 의 Launceston 시의 위험 지역 분석을 위한 공간적 평균 일관성, 주파수-파수, 수평과 수직 스펙트럼의 비율을 이용한 상신 진동 탐사법의 일차적 결과)

  • Claprood, Maxime;Asten, Michael W.
    • Geophysics and Geophysical Exploration
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    • v.12 no.1
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    • pp.132-142
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    • 2009
  • The Tamar rift valley runs through the City of Launceston, Tasmania. Damage has occurred to city buildings due to earthquake activity in Bass Strait. The presence of the ancient valley, the Tamar valley, in-filled with soft sediments that vary rapidly in thickness from 0 to 250mover a few hundreds metres, is thought to induce a 2D resonance pattern, amplifying the surface motions over the valley and in Launceston. Spatially averaged coherency (SPAC), frequency-wavenumber (FK) and horizontal to vertical spectrum ratio (HVSR) microtremor survey methods are combined to identify and characterise site effects over the Tamar valley. Passive seismic array measurements acquired at seven selected sites were analysed with SPAC to estimate shear wave velocity (slowness) depth profiles. SPAC was then combined with HVSR to improve the resolution of these profiles in the sediments to an approximate depth of 125 m. Results show that sediments thicknesses vary significantly throughout Launceston. The top layer is composed of as much as 20m of very soft Quaternary alluvial sediments with a velocity from 50 m/s to 125 m/s. Shear-wave velocities in the deeper Tertiary sediment fill of the Tamar valley, with thicknesses from 0 to 250m vary from 400 m/s to 750 m/s. Results obtained using SPAC are presented at two selected sites (GUN and KPK) that agree well with dispersion curves interpreted with FK analysis. FK interpretation is, however, limited to a narrower range of frequencies than SPAC and seems to overestimate the shear wave velocity at lower frequencies. Observed HVSR are also compared with the results obtained by SPAC, assuming a layered earth model, and provide additional constraints on the shear wave slowness profiles at these sites. The combined SPAC and HVSR analysis confirms the hypothesis of a layered geology at the GUN site and indicates the presence of a 2D resonance pattern across the Tamar valley at the KPK site.

The Effects of PNF Upper Extremity Pattern Based Vibration Exercise Equipment on Stability and Balance of the Elderly (PNF 상지패턴에 기초한 진동운동기구 훈련이 노인의 체간 안정성과 균형에 미치는 영향)

  • Lee, Hyoungsoo;Im, Jungdae;Lee, Gihun;Lee, Jiseong;Lee, Jinwuk;Seo, Yeonju;Son, Jiyoon;An, Hyojoeng;Oh, Hyunjeong;Youn, Haneul;Lee, Seoyeon;Kim, Jangsun
    • Journal of The Korean Society of Integrative Medicine
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    • v.3 no.3
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    • pp.59-71
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    • 2015
  • Purpose : This study examines the effect of vibration exercise grafting PNF patterns for 6 weeks on upper body stability and equilibrium for seniors having fifteen or over of MMSE-K. Method : A total of 10 senior citizens participated in this study. Each participant performed PNF patterned exercises using vibration sports equipment for 30 minutes, once static a week, for six weeks. We measured trunk stability and balance degree before and after the six-week exercise program. Motor Assessment Scale (MAS) was used to measure trunk stability, while Functional Reach Test (FRT) and Timed Up and Go (TUG) was used to measure balance degree. The collected data was processed using paired t-test to confirm the difference between pre-program conditions and post-program conditions. Results: The results of our study show that post-program trunk stability measurements increased when compared to pre-program data; however, this increase was not statistically significant. pre and post-measurements for satatic balance and dynamic balance were statistically unchanged. Conclusion: Due to limitations in the number of participants, the procedural design of this experiment, and the limited amount of time participants actually controlled, this study failed to produce statistically significant results. However, further study should be conducted using a systematically implemented exercise program to show support for exercising with flexi-bar as an effective program for the elderly.

Evaluation of Cave-in Possibility of a Shallow Depth Rock Tunnel by Rock Engineering Systems and Uumerical Analyses (암반공학시스템과 수치해석을 이용한 저심도 암반터널에서의 붕락 발생 가능성 평가)

  • Kim, Man-Kwang;Yoo, Young-Il;Song, Jae-Joon
    • Tunnel and Underground Space
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    • v.19 no.3
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    • pp.236-247
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    • 2009
  • Overpopulation has significantly increased the use of underground spaces in urban areas, and led to the developments of shallow-depth underground space. Due to unexpected rock fall, however, it is very necessary to understand and categorize the rock mass behaviors prior to the tunnel excavation, by which unnecessary casualties and economic loss could be prevented. In case of cave-in, special attention should be drawn since it occurs faster and greater in magnitude compared to rock fall and plastic deformation. Types of cave-in behavior are explained and categorized using seven parameters - Uniaxial Compressive Strength (UCS), Rock Quality Designation (RQD), joint surface condition, in-situ stress condition, ground water condition, earthquake & ground vibration, tunnel span. This study eventually introduces a new index called Cave-in Behavior Index (CBI) which explains the behavior of cave-in under given in-situ conditions expressed by the seven parameters. In order to assess the mutual interactions of the seven parameters and to evaluate the weighting factors for all the interactions, survey data of the experts' opinions and Rock Engineering Systems (RES) were used due to lack of field observations. CBI was applied to the tunnel site of Seoul Metro Line No. 9. UDEC analyses on 288 cases were done and occurrences of cave-in in every simulation were examined. Analyses on the results of 288 cases of simulations revealed that the average CBI for the cases when cave-in for different patterns of tunnel support was estimated by a logistic regression analysis.