• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.41-41
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• 2000

biped robots are expected to robustly traverse terrain with various unknown surfaces. The robot will occasionally encounter the unexpected events in made-for human environments. The slipping is a very real and serious problem in the unexpected events. The robot system must respond to the unexpected slipping after it has occurred and before control is lost. This paper proposes a reflex control method for biped robots to recover from slipage. Computer simulations with the 6-DOF environment model which consists of nonlinear dampers, nonlinear springs, and linear springs, show that the proposed method is effective in preventing fall-down due to slippage.

• The Journal of the Korean dental association
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• v.9 no.8
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• pp.479-482
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• 1971

Authors performed the replantation of the intruded upper right central incisor with the compound fracture of the alveolar process caused by fall down, in particular manipulating the periodontal membrane attached to the root surface or alveolar socket wall with out surgical injury while operation, and observed the good progress clinically and on roengenographs.

• Proceedings of the KAIS Fall Conference
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• 2003.06a
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• pp.239-242
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• 2003

Scale down으로 인해 부족해진 overlay margin을 통해 충분히 확보해주고, 이와 동시에 attPSM(attenuated phase shift)의 사용으로 발생하는 side-lobe 현상을 억제하기 위한 방법으로 rule-based OPC(optical proximity correction)룰 사용하여 side-lobe만을 효과적으로 추출한 후, 그 자리에 scattering bar를 삽입하였다. 그리고 ORC(optical rule checking)를 통해 original layout과 aerial image의 EPEs(edge placement errors)를 검사하여 검증에 걸리는 시간을 감소시켰다.

• Proceedings of the KAIS Fall Conference
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• 2003.06a
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• pp.253-255
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• 2003

Flash memory는 device 특성상 peripheral circuit을 구성하는 transistor의 종류가 다양하고, 이에 따른 각 transistor의 동작 전압 영역이 넓다. 이에 따라 설계 초기의 전기적 특성 스펙 절정을 위해서는, silicon 상에서 소자의 scale down에 따른 전기적 특성을 선 검증하는 과정이 필수적이었으며, 이로 인해 설계 및 소자 개발의 기간을 단축하기 어려웠다. 본 연구에서는 TCAD tool을 사용하여 silicon상에서의 제작 공정을 거치지 않고, 효과적으로 model parameter를 생성할 수 있도록 하는 방법을 제안하여. 전기적 특성 스펙 결정과 설계 단계의 시간 지연을 감소할 수 있도록 한다.

• Journal of the Korean Society of Safety
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• v.30 no.5
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• pp.44-51
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• 2015

As the domestic communication industry has been made rapid progresses, the construction of base stations are also expanded yearly from more than 86,000 ones in the year 2005 to over 300,000 ones in 2013. While the new construction and rebuilt works have been rapidly increased, there has been not tried about the analysis as well as the control of hazards for the construction works. This study is conducted to do not only the focus interview for 27 expert groups who are engaged in the construction works and safety, but also the questionnaires for AHP analysis which is suggested by the Korea Occupational Safety and Health Agency for 92 persons who are engaged in the construction works in order to analyze the hazards of construction works for base stations. The high ranked risk works which are acquired from the two methods are fall under installation of antennae, struck by the hand tools and construction materials under installation of antennae, fall during going up and down the steel tower and telegraph poles and the fall by electric shock during the underground cable works. The control for the above hazards are the installation of fall protection equipments, the installation of safety nets for falling objects and the installation of protection equipment of electric shock.

• Journal of Environmental Science International
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• v.13 no.3
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• pp.251-262
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• 2004

To identify the characteristics of wastewater flow generated in treatment basins of Seogwipo-city, we selected 3 stations representing the basin and performed 7 times of field survey including 5 times in dry periods and 2 times in wet periods from Feb. 25 to May 27, 2002 for the selected stations. From the analysis of flow data measured for more than 60 days in the interval of 5 minutes and concentration data obtained from laboratory analysis, we can draw several conclusions. First, in the analysis of diurnal variation of wastewater flow for land-use types, we could find the following results: in the residential area, it is observed that wastewater flow rates rise early in the morning for the office-going hour and fall gradually and rise again after the office-leaving hour, showing typical residential wastewater flow pattern, while for the residential and commercial area flow rates rise early in the morning at the office-going hour and move up and down repeatedly within wide range and last till the office-leaving hour, which can be resulted from wastewater that is generated by tourists activated after early in the afternoon, while for the touristy area flow rates rise early in the morning and fall gradually and rise again within wide range. Second, in the analysis of temporal variation of wastewater flow for monthly, it can be observed that in the residential area, in the residential and commercial areas the flow rate of May is higher than that of Feb., March, while for the touristy area flow rate is without monthly because it reflects the movement of population, Third, in wet periods concentration of water-quality item such as SS, BOD, and COD_{cr}$ is high in the beginning of rainfall by first flush, and falls down gradually to reach the steady state, which is the level of wastewater in dry periods after the cease of storm water due to diluting effect resulting from additional runoff water through storm sewers.

• Journal of Korea Multimedia Society
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• v.11 no.3
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• pp.301-314
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• 2008

The existing event recognition is accomplished with the limited systematic foundation, and thus much longer learning time is needed for emergency scenario interpretation due to large scale of probability data. In this paper, we propose a method for nile-based event recognition of an independent object(human) which extract a feature vectors from the object and analyze the behavior pattern of each object and interpretation of emergency scenarios using a probability and object's events. The event rule of an independent object is composed of the Primary-event, Move-event, Interaction-event, and 'FALL DOWN' event and is defined through feature vectors of the object and the segmented motion orientated vector (SMOV) in which the dynamic Bayesian network is applied. The emergency scenario is analyzed using current state of an event and its post probability. In this paper, we define diversified events compared to that of pre-existing method and thus make it easy to expand by increasing independence of each events. Accordingly, semantics information, which is impossible to be gained through an.

• Archives of Plastic Surgery
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• v.38 no.3
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• pp.263-272
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• 2011

Purpose: The human face is the most exposed part of the body, and in patients with simple or complex trauma from traffic accidents, industrial calamities, sports injuries, human assaults, and daily accidents, facial trauma occupies an important portion. The etiology of facial trauma vary on a society's economic, cultural, and environmental status. Methods: Regarding patients who were admitted from between the years 2000 to 2009 at the Hanyang University hospital, the authors studied how the changes in the economic status in the past 10 years of our country influences the incidence of facial bone fractures. Results: In this study, 1) The unemployment rate showed a strong negative relationship with the total number of inpatients with facial bone fractures, the number of male patients, the number of female patients, the number of patients with facial bone fractures caused by fall down, the number of patients who were admitted for shorter than 7 days, and the number of the facial bone fracture patients with their age in the twenties. 2) The consumer price index showed a strong positive relationship with the number of female patients, the number of patients who were admitted for shorter than 7 days, and the number of the facial bone fracture patients with their age in the teens and fifties. Conclusion: Looking at the results of correlation analysis and multiple regression analysis with economic indicators, the unemployment rate showed negative influence to the total number of inpatients with facial bone fractures, and the number of inpatients with facial bone fractures caused by fall down, with statistical significance.

• Archives of Craniofacial Surgery
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• v.20 no.4
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• pp.228-232
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• 2019

Background: The epidemiology of nasal fractures varies according to factors such as the era and area of the study, as well as the age of the patient. We compared the characteristics and causes of pediatric nasal fractures. Methods: A total of 2,321 patients with nasal fractures from 2010 to 2017 were examined. The patients were divided into age groups using the Korean school system of age classification. The causes of injury were divided into five groups: violence, fall or slip down, sports, road traffic accidents, and others. Fractures were classified using the Stranc and Robertson standard: vector of force and plane of fracture. Results: Violence was the most common cause of nasal fracture in patients older than 12 years. Violence was a significantly less frequent cause among patients younger than 12 years old than among adolescent and adult patients. Nasal fractures due to violence were not observed in patients younger than 10 years. Plane 2 and lateral force fractures were the most common; however, in patients younger than 12 years, frontal force fractures were significantly more frequent than were lateral force fractures. Conclusion: As children may simply be injured due to a fall or slip down, it is important for the parents and guardians to ensure their safety. As they become older, children should abstain from violence and be monitored. It is therefore very important to ensure that the environment is free of violence in order to prevent such injuries.

• Smart Media Journal
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• v.12 no.7
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• pp.59-67
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• 2023

Recently, research on behavior analysis tracking human posture and movement has been actively conducted. In particular, OpenPose, an open-source software developed by CMU in 2017, is a representative method for estimating human appearance and behavior. OpenPose can detect and estimate various body parts of a person, such as height, face, and hands in real-time, making it applicable to various fields such as smart healthcare, exercise training, security systems, and medical fields. In this paper, we propose a method for classifying four exercise movements - Squat, Walk, Wave, and Fall-down - which are most commonly performed by users in the gym, using OpenPose-based deep learning models, DNN and CNN. The training data is collected by capturing the user's movements through recorded videos and real-time camera captures. The collected dataset undergoes preprocessing using OpenPose. The preprocessed dataset is then used to train the proposed DNN and CNN models for exercise movement classification. The performance errors of the proposed models are evaluated using MSE, RMSE, and MAE. The performance evaluation results showed that the proposed DNN model outperformed the proposed CNN model.