• 제목/요약/키워드: Spatiotemporal

검색결과 603건 처리시간 0.023초

발가락 벌림 교정기가 청소년기 경직형 양하지 뇌성마비의 보행에 미치는 영향 (The Effects of Toe Wedges on the Spatiotemporal Gait Parameters of Adolescents with Spastic Diplegic Cerebral Palsy)

  • 장정재;정선혜;김명종;송선해;이동건;이승후;장나영;최지원;하선영;하신호;홍성균;이규창
    • PNF and Movement
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    • 제17권2호
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    • pp.237-243
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    • 2019
  • Purpose: The purpose of the present study was to investigate the effects of toe wedges on the gait ability of adolescents with spastic diplegic cerebral palsy. Methods: Six adolescents with spastic diplegic cerebral palsy participated in this study. During the participants walked with- and without toe wedges, the gait ability was analyzed using the electronic walkway system. Gait parameters, including velocity, cadence, step length, stride length, single support time, and double support time, were collected and analyzed. Results: When the participants walked with toe wedges, there were significant improvements in gait velocity, cadence, and double support time compared to those without toe wedges (p<0.05). However, there were no significant differences in step length, stride length, and single support time. Conclusion: Toe wedges may have a positive effect on the gait ability of adolescents with spastic diplegic cerebral palsy. However, it is necessary to conduct high-quality studies to identify the effects of toe wedges.

Increased expression of vascular endothelial growth factor-C and vascular endothelial growth factor receptor-3 after pilocarpine-induced status epilepticus in mice

  • Cho, Kyung-Ok;Kim, Joo Youn;Jeong, Kyoung Hoon;Lee, Mun-Yong;Kim, Seong Yun
    • The Korean Journal of Physiology and Pharmacology
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    • 제23권4호
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    • pp.281-289
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    • 2019
  • Vascular endothelial growth factor (VEGF)-C and its receptor, vascular endothelial growth factor receptor (VEGFR)-3, are responsible for lymphangiogenesis in both embryos and adults. In epilepsy, the expression of VEGF-C and VEGFR-3 was significantly upregulated in the human brains affected with temporal lobe epilepsy. Moreover, pharmacologic inhibition of VEGF receptors after acute seizures could suppress the generation of spontaneous recurrent seizures, suggesting a critical role of VEGF-related signaling in epilepsy. Therefore, in the present study, the spatiotemporal expression of VEGF-C and VEGFR-3 against pilocarpine-induced status epilepticus (SE) was investigated in C57BL/6N mice using immunohistochemistry. At 1 day after SE, hippocampal astrocytes and microglia were activated. Pyramidal neuronal death was observed at 4 days after SE. In the subpyramidal zone, VEGF-C expression gradually increased and peaked at 7 days after SE, while VEGFR-3 was significantly upregulated at 4 days after SE and began to decrease at 7 days after SE. Most VEGF-C/VEGFR-3-expressing cells were pyramidal neurons, but VEGF-C was also observed in some astrocytes in sham-manipulated animals. However, at 4 days and 7 days after SE, both VEGFR-3 and VEGF-C immunoreactivities were observed mainly in astrocytes and in some microglia of the stratum radiatum and lacunosum-moleculare of the hippocampus, respectively. These data indicate that VEGF-C and VEGFR-3 can be upregulated in hippocampal astrocytes and microglia after pilocarpine-induced SE, providing basic information about VEGF-C and VEGFR-3 expression patterns following acute seizures.

Effects of Isokinetic Strength Exercise of the Hemiparetic Knee Joint on Lower Extremity Sensorimotor and Gait Functions in Patients With Chronic Stroke: Open Kinetic Chain Versus Closed Kinetic Chain

  • An, Chang-man;Roh, Jung-suk
    • 한국전문물리치료학회지
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    • 제26권2호
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    • pp.49-60
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    • 2019
  • Background: After stroke, in order to improve gait function, it is necessary to increase the muscle strength and to enhance the propriocetive function of the lower extremity. Objects: This study aimed to compare the effects of open kinetic chain (OKC) versus closed kinetic chain (CKC) isokinetic exercise of the hemiparetic knee using the isokinetic equipment on lower extremity sensorimotor function and gait ability in patients with chronic stroke. Methods: Thirty participants with chronic hemiplegia (> 6 months post-stroke) were randomly divided into 2 equal groups: CKC group and OKC group. Patients from both groups attended conventional physiotherapy sessions 3 times a week for 6 weeks. Additionally, subjects from the CKC group performed isokinetic exercise using the CKC attachment, while those from the OKC group performed isokinetic exercise using the OKC attachment. The isokinetic knee and ankle muscles strength, position sense of the knee joint, and spatiotemporal gait parameters were measured before and after interventions. Results: The knee muscles peak torque/body weight (PT/BW) and hamstring/quadriceps (H/Q) ratio significantly increased in both groups (p<.01). In particular, ankle plantarflexors PT/BW, position sense of the knee, gait velocity, and spatial gait symmetry significantly improved in the CKC group (p<.01, p<.05, p<.01, and p<.01, respectively). Conclusion: CKC isokinetic exercise can be an effective therapeutic intervention for the improvement of sensorimotor function of the lower extremity and gait functions, such as gait velocity and symmetry. CKC position in isokinetic strength training is effective to improve functional ability in patients with chronic stroke.

Traffic Flow Sensing Using Wireless Signals

  • Duan, Xuting;Jiang, Hang;Tian, Daxin;Zhou, Jianshan;Zhou, Gang;E, Wenjuan;Sun, Yafu;Xia, Shudong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권10호
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    • pp.3858-3874
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    • 2021
  • As an essential part of the urban transportation system, precise perception of the traffic flow parameters at the traffic signal intersection ensures traffic safety and fully improves the intersection's capacity. Traditional detection methods of road traffic flow parameter can be divided into the micro and the macro. The microscopic detection methods include geomagnetic induction coil technology, aerial detection technology based on the unmanned aerial vehicles (UAV) and camera video detection technology based on the fixed scene. The macroscopic detection methods include floating car data analysis technology. All the above methods have their advantages and disadvantages. Recently, indoor location methods based on wireless signals have attracted wide attention due to their applicability and low cost. This paper extends the wireless signal indoor location method to the outdoor intersection scene for traffic flow parameter estimation. In this paper, the detection scene is constructed at the intersection based on the received signal strength indication (RSSI) ranging technology extracted from the wireless signal. We extracted the RSSI data from the wireless signals sent to the road side unit (RSU) by the vehicle nodes, calibrated the RSSI ranging model, and finally obtained the traffic flow parameters of the intersection entrance road. We measured the average speed of traffic flow through multiple simulation experiments, the trajectory of traffic flow, and the spatiotemporal map at a single intersection inlet. Finally, we obtained the queue length of the inlet lane at the intersection. The simulation results of the experiment show that the RSSI ranging positioning method based on wireless signals can accurately estimate the traffic flow parameters at the intersection, which also provides a foundation for accurately estimating the traffic flow state in the future era of the Internet of Vehicles.

3축 가속도계를 이용한 사상체질별 보행특성 연구 (Gait Characteristics of Sasang Constitution with 3-Axis Accelerometer-Based Gait Analysis)

  • 이동규;정서윤;김락형
    • 동의신경정신과학회지
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    • 제31권4호
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    • pp.225-233
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    • 2020
  • Objectives: This study aimed to reveal the gait characteristics of each Sasang constitution by examining the differences in gait analysis indicators using a 3-axis accelerometer. Methods: Ninety-one participants were classified through the TS-QSCD (Two-Step Questionnaire for Sasang Constitution Diagnosis) method and gait analysis was performed using a 3-Axis Accelerometer (G-WALK. BTS Bioengineering, Italy). Gait analysis in returning to the 6-meter turnaround point and 6-minute walking test were performed. The differences in the gait analysis index values were analyzed between each constitution. Results: The gait analysis of 91 subjects (37 Taeumin, 37 Soyangin, and 17 Soeumin), showed that the percent stride length/height in the Soyangin subjects was significantly higher than that of the Taeeumin and Soeuminin subjects in the spatiotemporal walking variables (p<0.05). Stride length also showed the widest tendency in the Soyangin subjects (p=0.05). In the kinesiological analysis, the range of pelvic obliquity angles in the Soeumin subjects was significantly wider than that of the Taeumin and Soyangin subjects (p<0.05). In the six-minute walking test, the Soyangin subjects walked the farthest at 309.41±35.23 m (p=0.064). Conclusions: In a comparison of the gait characteristics for each Sasang constitution using a three-dimensional accelerometer, the stride width of the Soyangin subjects was the widest compared to the Taeeumin, and Soeumin subjects, and Soyangin's walking speed showed a faster tendency than that of the Taeeumin and Soeumin subjects.

고해상도 영상을 이용한 농업용수 수혜면적 및 용배수로 추출 기법 개발 (Development of Extraction Technique for Irrigated Area and Canal Network Using High Resolution Images)

  • 윤동현;남원호;이희진;전민기;이상일;김한중
    • 한국농공학회논문집
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    • 제63권4호
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    • pp.23-32
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    • 2021
  • For agricultural water management, it is essential to establish the digital infrastructure data such as agricultural watershed, irrigated area and canal network in rural areas. Approximately 70,000 irrigation facilities in agricultural watershed, including reservoirs, pumping and draining stations, weirs, and tube wells have been installed in South Korea to enable the efficient management of agricultural water. The total length of irrigation and drainage canal network, important components of agricultural water supply, is 184,000 km. Major problem faced by irrigation facilities management is that these facilities are spread over an irrigated area at a low density and are difficult to access. In addition, the management of irrigation facilities suffers from missing or errors of spatial information and acquisition of limited range of data through direct survey. Therefore, it is necessary to establish and redefine accurate identification of irrigated areas and canal network using up-to-date high resolution images. In this study, previous existing data such as RIMS (Rural Infrastructure Management System), smart farm map, and land cover map were used to redefine irrigated area and canal network based on appropriate image data using satellite imagery, aerial imagery, and drone imagery. The results of the building the digital infrastructure in rural areas are expected to be utilized for efficient water allocation and planning, such as identifying areas of water shortage and monitoring spatiotemporal distribution of water supply by irrigated areas and irrigation canal network.

전자충격반응을 포함하는 플라즈마 화학반응을 고려한 용량결합형 산소플라즈마의 전산모사 연구 (Simulation Study of Capacitively Coupled Oxygen Plasma with Plasma Chemistry including Detailed Electron Impact Reactions)

  • 김헌창
    • 공업화학
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    • 제22권6호
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    • pp.711-717
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    • 2011
  • 전자충격반응을 고려한 three moment 플라즈마 모델과 전기적 중성성분의 반응을 고려한 유체 유동 모델을 결합하여 용량결합형 산소플라즈마에 대한 2차원적 전산모사 연구를 수행하였다. 전자의 에너지에 의하여 좌우되는 전자충격반응에 대한 반응속도는 전자와 $O_2$ 및 O 사이의 전자충돌단면적으로부터 계산되었다. 플라즈마 모델과 유체 유동 모델을 결합하고 상세한 반응메커니즘을 포함시킴으로써 전하를 띠는 전자와 이온($O_2{^+}$, $O^+$, $O_2{^-}$, and $O^-$) 그리고 기저상태의 산소($O_2$ and O)뿐만 아니라 $O_2(a^1{\Delta}_g)$, $O_2(b^1{{\Sigma}_g}^+)$, $O(^1D)$, $O(^1S)$ 등과 같이 산소플라즈마 특성에 중요한 역할을 하는 준안정상태 성분들의 시공간적 분포를 예측할 수 있었다. 또한 산소플라즈마의 전산모사로부터 sheath 경계에 이중층이 존재함을 확인할 수 있었다.

기수역 인공하천에서 시공간적 수질분포 특성 연구 (A study on Spatiotemporal Variations of distribution characteristics in Artificial Rivers of the Brackish Water Zone)

  • 김윤정;최옥연;한인섭
    • 한국수처리학회지
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    • 제26권6호
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    • pp.89-97
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    • 2018
  • The purpose of this reaserch is to analyze the charateristics of water quality in space through the operation of ARA River in Artificial Rivers of the Brackish Water Zone. The spatial distribution measured water temperature and salt levels for the surface, middle and deep layers by dividing the four areas of Incheon, Sicheon, Gyeyang and Gimpo. Water temperature did not vary much by water depth and branch, and its purpose is to maintain stable water environment through correlation analysis and operation. To examine the temporal and spatial distribution patterns of the Arachon, we measured DO on the Incheon branch, Sicheon, Gyeyang and Gimpo branch twice a month, and on the surface, the temperature level, The water temperature did not vary much by depth and location, and the water temperature in January and March tended to rise from Incheon to Gimpo, with the average difference of 1.1 degrees during the same period. The salinity difference between Incheon and Gimpo sites was 3.3 psu deep and 5.4 psu deep. In particular, floodgates from July to September are found to be less than 10psu overall, which is considered to be a gas due to the effects of floods and the inflow of Gulpo Stream. D.O. is located in some areas due to summer rains. The hypoxic layer has been identified.Analysis of seasonal data shows that water temperature and DO are strongly correlated in autumn. It was found that the water temperature and salt levels in the fall showed a weak correlation.

유로 단면의 기하학적 특성을 이용한 하상변화량 분석 (Analysis of bed change based on the geometric characteristics of channel cross-sections)

  • 고주석;이경수;곽성현;류시완
    • 한국수자원학회논문집
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    • 제53권12호
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    • pp.1097-1107
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    • 2020
  • 본 연구에서는 하도단면의 기하학적 특성과 그에 관한 특성값들의 종방향 변화를 통해 하천지형의 시·공간적 변화양상을 파악하기 위한 방법론을 제안하고자 한다. 이를 위해 낙동강 구미보 ~ 칠곡보 구간에 대한 음향측심기를 이용한 상세 수심측량을 통해 하상에 대한 3차원 공간정보를 취득하였다. 취득된 자료를 이용하여 기준단면에 대한 기하학적 정보를 추출하였다. 추출된 하천단면의 기하특성치들을 비교함으로써 특정 하도구간에서의 지형 특징을 파악할 수 있었다. 과거 측량성과와의 비교를 통해 단면변화량과 체적하상변동량을 정량적으로 파악할 수 있었다. 향후 본 연구에서 제안한 방법의 다양한 하천구간에서 대한 적용을 통해 하천지형변화에 대한 정량적 평가방법을 제시할 것으로 기대하는 바이다.

딥러닝의 패턴 인식능력을 활용한 주택가격 추정 (How the Pattern Recognition Ability of Deep Learning Enhances Housing Price Estimation)

  • 김진석;김경민
    • 한국경제지리학회지
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    • 제25권1호
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    • pp.183-201
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    • 2022
  • 주택가격을 정확히 추정하기 위한 많은 연구가 진행되어 왔다. 선행연구들은 주택의 고유 특성과 인근 지역 특성을 통제하는 계량경제모형을 활용한 분석이 많았다. 본 연구에서는 인공신경망 모형(ANN)을 활용하여 주택가격을 추정하였다. 딥러닝 기술의 장점은 변수 간의 복잡하고 비선형적인 특성을 모델링하고 데이터의 패턴을 인식할 수 있다는 것이다. 본 연구에서는 부동산 시장에서 공간적 분포도 패턴으로 인식할 수 있다는 가정하에 지리좌표를 설명변수로 ANN에 투입하였다. 선형회귀분석과 ANN 모형 간 비교 결과, 선형 모형 대비 ANN 모형의 설명력이 높았으며, 특히 ANN 모형은 지리좌표를 투입하였을 때 더 높은 정확도를 보여주었다. 또한 ANN 모형의 경우 지리좌표를 통해 모형 잔차의 공간적 자기 상관성이 크게 감소하였다는 점을 확인하였다. 이를 통해 ANN 모형의 패턴인식 능력을 활용하면 공간적 패턴을 학습시킴으로써 주택가격을 정확히 추정할 수 있음을 밝혔다.