• The Journal of Korean Physical Therapy
• /
• 제33권1호
• /
• pp.16-20
• /
• 2021

Purpose: This study examined the effects of the type of video contents used for action observations on the ability to control posture. Methods: The participants were 48 healthy adults. The two hands of the participants were crossed on both shoulders, and the other foot was placed in a straight line in front of the target to allow them to watch a video of the monitor. The videos were presented in random order with three video contents (natural, stable balance posture, and unstable balance posture) consisting of 30 seconds each. A 15-second resting time was given between each video. During action observation using various video content forms, the posture control ability was measured using a TekScan MetScan^® system. Results: The results revealed statistically significant differences in the area of movement and the distance by COP and distance by the type of action-observation videos, and the distance by the anteroposterior and mediolateral sides (p<0.05). The stable balance posture and unstable balance posture video showed significant differences in the distance by the COP, anteroposterior, and mediolateral distance. (p<0.05) Conclusion: This study suggests that choosing the contents of the videos is important during action-observation training, and action-observation training can help improve postural control.

• Biomolecules & Therapeutics
• /
• 제5권4호
• /
• pp.351-356
• /
• 1997

This study was performed in order to investigate the effect of renal denervation on diuretic action of UK 14, 304, $\alpha$$_2$-Adrenergic Agonist, administered into the vein and the carotid artery in dog. The diuretic action of UK 14, 304 administered into the vein or the carotid artery was reversed to the antidiuretic action by renal denervation, this time, the decrease of N $a^{+}$excretion amounts in urine ( $E_{Na}$ ) and the increase of N $a^{+}$ reabsorption rates in renal tubule ( $R_{Na}$ ) were exhibited. This results suggest that central diuretic action of UK 14, 304 is mediated by renal nerves and the antidiuretic action of UK 14, 304 in denervation kidney is caused by the increase of N $a^{+}$reabsorption rates ( $R_{Na}$ ) in renal tubules in dog.n dog.

• 대한한방내과학회지
• /
• 제21권5호
• /
• pp.781-789
• /
• 2000

Objective : The purpose of these research was to investigate effects of water extract of Bistortae Rhizoma(BRE) on the hemostasia, anti-inflammatory action and central nervous system. Methods : we used mice and rats administered with the extract of the above herbs. Results : BRE decreased the permeability of evans blue into peritoneal cavity and cotton pellet granuloma formation. BRE did not decrease the acetic acid induced writhing syndrome and the histamine induced mouse paw edema. BRE inhibited the pentylenetetrazole and the strychnine induced convulsion. BRE shortened the bleeding time and plasma prtrombin time. BRE did not affect on the proliferation of Balb/c 3T3 cells. Conclusions : these results suggest that the effects of BRE are the hemostasia, anti-inflammatory action, and mild depressant activity of central nervous system.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2001년도 ICCAS
• /
• pp.93.4-93
• /
• 2001

Based on input and output data pairs of nonlinear systems, this paper proposes a simple and effective Just-In-Time (JIT) method, called Direct JIT Control, for nonlinear control design. It uses an inverse model of controlled plant to compute an initial control action, and then adapts the initial control action by adding a fine-tuning control action, depended on the errors between the real outputs and the expected reference signals. Meanwhile, the proposed JIT method accomplishes the adaptation of the inverse model just simply by means of the refreshment of input and output data pairs. In addition, the JIT modeling technique guarantees this method to obtain an approximate inverse model of the controlled nonlinear plant in the neighborhood of a query. Based on a ...

• ETRI Journal
• /
• 제45권4호
• /
• pp.713-723
• /
• 2023

Game bots are illegal programs that facilitate account growth and goods acquisition through continuous and automatic play. Early detection is required to minimize the damage caused by evolving game bots. In this study, we propose a game bot detection method based on action time intervals (ATIs). We observe the actions of the bots in a game and identify the most frequently occurring actions. We extract the frequency, ATI average, and ATI standard deviation for each identified action, which is to used as machine learning features. Furthermore, we measure the performance using actual logs of the Aion game to verify the validity of the proposed method. The accuracy and precision of the proposed method are 97% and 100%, respectively. Results show that the game bots can be detected early because the proposed method performs well using only data from a single day, which shows similar performance with those proposed in a previous study using the same dataset. The detection performance of the model is maintained even after 2 months of training without any revision process.

• Journal of Radiation Protection and Research
• /
• 제41권3호
• /
• pp.196-205
• /
• 2016

Background: The emergency planning zone (EPZ) of the city of Busan is divided into the precautionary actions zone (PAZ) and the urgent protective action planning zone; which have a 5-km radius and a 20-km to 21-km radius from the nuclear power plant site, respectively. In this study, we assumed that a severe accident occurred at Shin-Kori nuclear unit 3 and evaluated the dispersion speed of radiological material at each distance at various wind speeds, and estimated the effective dose equivalent and the evacuation time of PAZ residents with the goal of supporting off-site emergency action planning for the nuclear site. Materials and Methods: The total effective dose equivalent, which shows the effect of released radioactive materials on the residents, was evaluated using the RASCAL 4.2 program. In addition, a survey of 1,036 residents was performed using a standardized questionnaire, and the resident evacuation time according to road and distance was analyzed using the VISSIM 6.0 program. Results and Discussion: According to the results obtained using the VISSIM and RASCAL programs, it would take approximately 80 to 252.2 minutes for permanent residents to move out of the PAZ boundary, 40 to 197.2 minutes for students, 60 to 232.2 minutes for the infirm, such as elderly people and those in a nursing home or hospital, and 30 to 182.2 minutes for those temporarily within the area. Consequently, in the event of any delay in the evacuation, it is estimated that the residents would be exposed to up to $10mSv{\cdot}h^{-1}$ of radiation at the Exclusion Area Boundaries (EAB) boundary and $4-6mSv{\cdot}h^{-1}$ at the PAZ boundary. Conclusion: It was shown that the evacuation time for the residents is adequate in light of the time lapse from the initial moment of a severe accident to the radiation release. However, in order to minimize the evacuation time, it is necessary to maintain a system of close collaboration to avoid traffic congestion and spontaneous evacuation attempts.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2017년도 추계학술대회
• /
• pp.594-597
• /
• 2017

본 연구는 만성뇌졸중 편마비 환자에게 적용한 동작관찰 훈련이 보행과 균형에 미치는 영향을 알아보고자 하였다. 연구에 동의한 만성 뇌졸중 편마비 환자 4명중 동작관찰훈련을 시행한 실험군 2명 일반과제지향훈련을 시행한 대조군 2명에게 총 4주간 하루 30분씩 훈련하였다. 훈련효과를 알아보기 위해 훈련전 보행은 10m검사를 시행하였고 균형은 버그균형척도로 검사하고 훈련 후 다시 재측정하였다. 이에 동작 관찰 훈련군이 일반과제지향훈련군에 비해 보행과 균형에서 유의미한 차이를 보였다. 이에 동작관찰훈련이 만성뇌졸중 편마비환자의 보행과 균형에 효과적인 프로그램임을 알 수 있다.

• 한국HCI학회:학술대회논문집
• /
• 한국HCI학회 2008년도 학술대회 1부
• /
• pp.528-533
• /
• 2008

웹 페이지의 증가에 따라 문서의 질을 파악하는 것은 매우 중요한 문제가 되었다. 방문횟수와 같은 빈도 측정에 기반한 평가는 문서에 대한 사용자의 반응을 반영하기에 부족하다. 사용자는 문서가 사용자의 의도와 관련이 부족하거나 필요가 없는 경우 이용 시간이 매우 짧아진다는 특성을 보인다. 또한 사용자는 웹 페이지 이용 시 다양한 행위를 통해 페이지를 이용하게 된다. 마우스 포인터의 이동이나 클릭, 페이지 스크롤 등 웹 브라우저에서만 이루어지는 다양한 행위가 존재한다. JavaScript 는 브라우저에서 발생하는 이벤트 정보를 축적할 수 있고, 이렇게 수집된 정보를 사용자가 이용하는 도중에 서버로 전송이 가능하다. 본 논문에서는 사용자의 이용 정보를 수집하여 웹 페이지 이용을 분석하여 페이지 평가에 대한 기준을 제시한다.

• Journal of Pharmaceutical Investigation
• /
• 제8권1호
• /
• pp.6-16
• /
• 1978

We obtained 4 kinds of extract fraction from Acanthopanacis Radicis Cortex and studied on the influence to the blood pressure of rabbit. These 4 fractions were obtained as follows; Fraction I was insoluble fraction by 99% ethanol from 80% methanol extract of Acanthopanacis Radicis Cortex, fraction II, precipitated fraction by ether from 99% ethanol soluble fraction of 80% methanol extract of Acanthopanaacis Radicis Cortex, fraction III, no precipitated fraction by ether from 99% ethanol soluble fraction of above 80% methanol extract and fraction IV, water extract of Acanthopanacis Radicis Cortex. All of fractions, when administered into ear-vein of rabbit, produced fall of blood pressure. Among these 4 fractions, although fraction III was not only the most potent but had the greatest efficacy, we observed the mechanism of hypotensive action of Acanthopanacis Radicis Cortex, making use of fraction II which was thought as a comparatively pure fraction. Hypotensive action of fraction II (APF II) was not affected by vagotominization but markedly inhibited by atropine. Pretreatment of bethanidine showed a tendency to weaken the depressor action of APF II, although it was not a significant result, but diphenhydramine did not influence APF II action. Phentolamine, guanethidine and chlorisondamine inhibited significantly the hypotensive action of APF II. APF II elicited the potentiation of norepinphrine pressor action dependent on the time-factor whereas it did not influence angiotesin pressor action. It is seemed that APF II exhibited hypotensive action, causing peripheral muscarinic-effect and centrally induced sympatholytic action.

• 한국지능시스템학회논문지
• /
• 제26권6호
• /
• pp.471-476
• /
• 2016

본 논문은 깊이 정보를 기반으로 모션 히스토리 영상 및 기울기 방향성 히스토그램과 적출 모델을 사용하여 연속적인 사람 행동들을 인식하는 시스템을 설명하고 연속적인 행동 인식 시스템에서 인식 성능을 개선하기 위해 행동 적출을 수행하는 적출 모델을 제안한다. 본 시스템의 구성은 전처리 과정, 사람 행동 및 적출 모델링 그리고 연속적인 사람 행동 인식으로 이루어져 있다. 전처리 과정에서는 영상 분할과 시공간 템플릿 기반의 특징을 추출하기 위하여 Depth-MHI-HOG 방법을 사용하였으며, 추출된 특징들은 사람 행동 및 적출 모델링 과정을 통해 시퀀스들로 생성된다. 이 생성된 시퀀스들과 은닉 마르코프 모델을 사용하여 정의된 각각의 행동에 적합한 사람 행동 모델과 제안된 적출 모델을 생성한다. 연속적인 사람 행동 인식은 연속적인 행동 시퀀스에서 적출 모델에 의해 의미 있는 행동과 의미 없는 행동을 분할하는 행동 적출과 의미 있는 행동 시퀀스에 대한 모델의 확률 값들을 비교하여 연속적으로 사람 행동들을 인식한다. 실험 결과를 통해 제안된 모델이 연속적인 행동 인식 시스템에서 인식 성능을 효과적으로 개선하는 것을 검증한다.