• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.961-968
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• 2018

Recently, researches on automatic recognition of human activities have been actively carried out with the emergence of various intelligent systems. Since a large amount of visual data can be secured through Closed Circuit Television, it is required to recognize human behavior in a dynamic situation rather than a static situation. In this paper, we propose new intelligent human activity recognition model using the trajectory information extracted from the video sequence. The proposed model consists of three steps: segmentation and partitioning of trajectory step, feature extraction step, and behavioral learning step. First, the entire trajectory is fuzzy partitioned according to the motion characteristics, and then temporal features and spatial features are extracted. Using the extracted features, four pedestrian behaviors were modeled by decision tree learning algorithm and performance evaluation was performed. The experiments in this paper were conducted using Caviar data sets. Experimental results show that trajectory provides good activity recognition accuracy by extracting instantaneous property and distinctive regional property.

• The Journal of Korean Physical Therapy
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• 제34권6호
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• pp.312-316
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• 2022

Purpose: The purpose of this study was to investigate the effect of a kettlebell complex program according to the support surface on the lower extremity muscle activity and balance of baseball players. Methods: The participants were divided into two groups; unstable support surface group 1 (11 people) performed the kettlebell complex program on an unstable support surface, and stable support surface group 2 (10 people) performed the kettlebell complex program on a stable support surface. Muscle activity was measured by surface electromyography. Dynamic balance was measured with a balance-measuring equipment. A paired t-test was used to compare groups before and after the experiment. An independent t-test was performed to determine the difference in the degree of change between the two groups before and after the experiment. Results: The intragroup comparison between stable support surface group 1 and 2 showed significant differences in muscle activity and sense of balance. In the comparison between the groups, the difference in muscle activity in unstable support surface group1 was significant in the biceps femoris and rectus femoris muscles, and significant differences were also found in the sense of balance. Conclusion: These results suggest that a kettlebell exercise on an unstable support surface is more effective in improving muscle activity and sense of balance than a kettlebell exercise on a stable support surface.

• Journal of the Optical Society of Korea
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• 제19권4호
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• pp.382-389
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• 2015

Motility contrast imaging is a coherence-domain imaging technique that uses cellular motility as a fully endogenous imaging contrast agent. Motility is measured inside tissue using a digital holographic coherence gate that extracts dynamic speckle from fixed depths. The dynamic speckle arises from the normal organelle motion inside cells, and from the movement of the cellular membranes driven by the cytoskeleton. It measures cellular activity and the effects of temperature and osmolarity. Motion is sensitive to cytoskeletal drugs, such as the antimitotic drugs used for cancer chemotherapy, and the effects of drug combinations also can be monitored. Motility contrast imaging is a potential tissue-based assay platform for highthroughput screening of pharmaceuticals.

• 시스템엔지니어링학술지
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• 제11권2호
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• pp.75-83
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• 2015

This paper describes modeling & simulation(M&S) model for dynamic analysis of helicopter rotor blades. Simulation model is developed using Dymola tool which implements the open source language - Modelica. Modelica is appropriate for developing multibody dynamic analysis model. To develop an M&S model efficiently, model based systems engineering(MBSE) is applied. Some diagrams such as requirement diagram, block definition diagram and sequence diagram etc. are drawn to capture the concept of M&S model. This activity is done utilizing the open source tool - Papyrus.

• 대한교통학회지
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• 제5권1호
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• pp.47-58
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• 1987

A commodity distribution problem with intertemporal storage facilities and dynamic transportation networks is proposed. mathematical integer programming methods and multiobjective programming techniques are used in the model formulation. Dynamic characteristics of commodity distribution problems are taken into account in the model formulation. storage facility location problems and transportation link addition problems are incorporated into the intertemporal multicommodity distribution problem. The model is capable of generating the most efficient and rational commodity distribution system. Therefore it can be utilized to provided the most effective investment plan for the transportation infrastructure development as well as to evaluate the existing commodity distribution system. The model determines simultaneously the most efficient locations, sizes, and activity levels of storage facilities as well as new highway links. It is extended to multiobjective planning situations for the purpose of generating alternative investment plans in accordance to planning situations. sine the investment in transportation network improvement yields w\several external benefits for a regional economy, the induced benefit maximization objective is incorporated into the cost minimization objective. The multiobjective model generates explicitly the trade-off between cost savings and induced benefits of the investment in transportation network improvement.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 추계학술대회 논문집 학회본부
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• pp.157-160
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• 1995

Neural networks potentially offer a general framework for modeling and control of nonlinear systems. The conventional neural network models are a parody of biological neural structures, and have very slow learning. In order to emulate some, dynamic functions, such as learning and adaption, and to better reflect the dynamics of biological neurons, M.M.Gupta and D.H.Rao have developed a 'dynamic neural model'(DNU). Proposed neural unit model is to introduce some dynamics to the neuron transfer function, such that the neuron activity depends on internal states. Numerical examples are presented for a model system. Those case studies showed that the proposed DNU is so useful in practical sense.

• Nuclear Engineering and Technology
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• 제35권2호
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• pp.171-177
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• 2003

A dynamic compartment model was required for the prediction of radiological consequences of the tritiated vapor released from the nuclear facility after an accident. A computer code, ECOREA-T, was developed by incorporating the unit models for the evaluation of tritium behavior in the environment. Dry deposition of tritiated vapor from the atmosphere to the soil was calculated using a deposition velocity. Transport of tritium from the atmosphere to the plant was calculated using a specific activity model, and the result was compared with the Belot's analytic solution. Root uptake of tritiated water from the soil and formation of OBT from T were considered in the model. The ECOREA-T code was verified by comparing the results from the other computer codes using a scenario developed through BIOMOVS II study. The results showed good agreements.

• 대한임상전기생리학회지
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• 제8권2호
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• pp.7-12
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• 2010

Purpose : The purpose of this study was to determine the effects of hip adduction using a ball on the activation of the vastus medialis oblique (VMO) and the vastus lateralis (VL) during dynamic semisquat exercises. Methods : Twenty seven participants performed three repetitions of a double-leg semisquat and squeeze semisquat (semisquat with hip adduction using a ball) at $60^{\circ}$ knee flexion. The activation of the VMO and the VL was recorded at dominant leg during both semisquat exercises using surface electromyography (MP 100). EMG data were normalized to the maximal voluntary isometric contraction (MVIC) of the quadriceps produced during seated, isometric knee extension. Results : Results of paired t-test analyses revealed that there were no differences between activity of the VMO and the VL in both double-leg semisquat and squeeze semisquat. The activity of the VMO was significantly increased in squeeze semisquat whereas there was no difference in activity of the VL between double-leg semisquat and squeeze semisquat. Conclusion : Combining hip adduction using a ball with semisquat at $60^{\circ}$ knee flexion preferentially increases the activity of the VMO. We can conclude that semisquat at $60^{\circ}$ knee flexion with hip adduction using a ball selectively recruits the VMO. Rehabilitation for quadricep imbalance should consider these findings when selecting exercises which could preferentially activate the VMO.

• 한국통신학회논문지
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• 제40권5호
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• pp.924-930
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• 2015

본 논문에서는 잡음 환경에서 적은 연산량으로 소형 음향기기의 음질 향상을 위한 새로운 저연산 이득 제어 알고리즘을 제안한다. 대표적인 소형 음향기기인 보청기의 이득 제어 알고리즘은 입력 신호를 잡음 제거 한 후 이 신호의 파워를 기준으로 광역동범위압축 (wide dynamic range compression, WDRC)을 하기 때문에 불필요한 신호까지 증폭된다. 제안된 이득 제어 알고리즘은 음성 검출기 (voice activity detection, VAD)의 결과를 이용하여 음성의 존재 유/무에 따라 적응적으로 이득을 제어한다. 성능 평가를 위해 제안된 알고리즘은 VAD를 적용하지 않은 알고리즘과 정상 및 비정상 잡음환경에서 다양한 조건을 부과하여 비교하였으며, 실험결과 제안된 알고리즘이 전체 성능 및 잡음 구간에서 향상된 결과를 보였다.

• 한국환경과학회지
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• 제33권1호
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• pp.1-8
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• 2024

When situated in green landscapes, water bodies play a crucial role in positively influencing mood and mental health, yet research on the cognitive mechanisms underlying these therapeutic effects is lacking. This study is intended to examine differences in brain function among adult males exposed to forest landscapes with or without water bodies. The wooded landscapes included views of a waterfall, a valley, and a forest without water. The control group was exposed to a local urban landscape. Twelve adult males participated in a field experiment in which prefrontal cortex (PFC) activity was measured using near-infrared spectroscopy (NIRS). In the experiment, participants engaged in low-intensity walking in three forested areas with similar vegetation and climatic conditions. Participants showed significant differences in left PFC activity depending on whether they were in the three forested landscapes or in the control landscape (P < 0.01). An analysis of variance (ANOVA) confirmed that significantly lower left PFC activity was recorded in the wooded landscape containing a water view . Notably, the lowest PFC values recorded in the landscape with a waterfall view suggest that landscapes with dynamic water flow may be associated with greater therapeutic benefits in terms of PFC activity than static landscapes. Our results underscore that water is a critical aspect of a landscape due to its therapeutic benefits and should be incorporated in the planning and design of green spaces for health promotion.