• Title/Summary/Keyword: training ground

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Effects of Visual Information Blockage on Landing Strategy during Drop Landing (시각 정보의 차단이 드롭랜딩 시 착지 전략에 미치는 영향)

  • Koh, Young-Chul;Cho, Joon-Haeng;Moon, Gon-Sung;Lee, Hae-Dong;Lee, Sung-Cheol
    • Korean Journal of Applied Biomechanics
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    • v.21 no.1
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    • pp.31-38
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    • 2011
  • This study aimed to determine the effects of the blockage of visual feedback on joint dynamics of the lower extremity. Fifteen healthy male subjects(age: $24.1{\pm}2.3\;yr$, height: $178.7{\pm}5.2\;cm$, weight: $73.6{\pm}6.6\;kg$) participated in this study. Each subject performed single-legged landing from a 45 cm-platform with the eyes open or closed. During the landing performance, three-dimensional kinematics of the lower extremity and ground reaction force(GRF) were recorded using a 8 infrared camera motion analysis system (Vicon MX-F20, Oxford Metric Ltd, Oxford, UK) with a force platform(ORG-6, AMTI, Watertown, MA). The results showed that at 50 ms prior to foot contact and at the time of foot contact, ankle plantar-flexion angle was smaller(p<.05) but the knee joint valgus and the hip flexion angles were greater with the eyes closed as compared to with the eyes open(p<.05). An increase in anterior GRF was observed during single-legged landing with the eyes closed as compared to with the eyes open(p<.05). Time to peak GRF in the medial, vertical and posterior directions occurred significantly earlier when the eyes were closed as compared to when the eyes were open(p<.05). Landing with the eyes closed resulted in a higher peak vertical loading rate(p<.05). In addition, the shock-absorbing power decreased at the ankle joint(p<.05) but increased at the hip joints when landing with the eyes closed(p<.05). When the eyes were closed, landing could be characterized by a less plantarflexed ankle joint and more flexed hip joint, with a faster time to peak GRF. These results imply that subjects are able to adapt the control of landing to different feedback conditions. Therefore, we suggest that training programs be introduced to reduce these injury risk factors.

A Study on the method of child instruction in "Sa So Jeol" ("사소절"에 나타난 아동훈육법 고찰)

  • 류점숙
    • Journal of the Korean Home Economics Association
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    • v.25 no.4
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    • pp.141-152
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    • 1987
  • The book of Sa So Jeol is about the moral training family precepts written by Yi Deok-mu (이덕무, 1739~1793) in the year of king Young Jo 51th in the Yi dynasty. The writer provides us, according to the views of Confucianists, with the principles that both elders and children of that time should abide by in the daily life, dividing the said books into 924 sections, 8 chapters, and 2 volumes. The parts concerned with children are studied in this essay. The brief conclusions are as follows. 1. Children were required to have the mental attitudes of honesty, patience, tolerance and frugality and were instructed to show such attitudes through their behavior. 2. Children were instructed to have the behavioral attitudes of nine aspects, which are the behavioral characteristics of the sages. They were instructed to emulate the personal characters of the sages through being possessed of these nine aspects, which are to be found in healthy and comfortable mental states. 3. Children were instructed to be careful and composed, in their activities. Since prudence is the basic principle of mental and behavioral attitudes, being required of men and women of all ages in a traditional society, it was emphasized from early childhood 4. The aim of instruction was taken to be becoming human, or becoming a virtuous man, rather than merely passing the classical government examamination, and for this aim the moral rules, which can be considered the order of human relations, were taught intensively. 5. As for instructional methods, the children were required to do careful or rough reading according to their abilities, and were instructed to listen to lectures politely, prudently, ardently and honestly. 6. The instructional contents are for the purpose of making children read the classical canons after increasing their perceptive ability in the various things of the sexagenary cycle, the multipicative method, the kings, lineage, and the reign-titles, and the accumulated knowledge of $\ulcorner$Kyung Mong Yo Kyul$\lrcorner$, $\ulcorner$Seong Hak Jeop Yo$\lrcorner$ and $\ulcorner$Keun Sa Lok$\lrcorner$. Because of the greater emphasis on natural talents rather than on acquired abilities, the children, however, were eudcated only after their despositions were examined. 7. The children were required to have warm-hearted, careful, polite, and prudent attitudes toward their elders, and were instructed to take precauticns against arrogance and impoliteness. Since politeness in particular was considered not only as the ground of decorum but the method of emotional regulation and maintaining composure for confucianists, it can be regarded as the principal ettiquettee demanded in all activities. 8. The main instructional contents are generally moral aspects, concentrating on introspection and virtuous conduct through emotional regulations, rather than on the natural expression of physical and mental states.

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A Vehicle Reidentification Algorithm using Inductive Vehicle Signatures (루프검지기 자기신호 패턴분석을 통한 차량재인식 알고리즘)

  • Park, Jun-Hyeong;O, Cheol;NamGung, Seong
    • Journal of Korean Society of Transportation
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    • v.27 no.1
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    • pp.179-190
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    • 2009
  • Travel time is one of the most important traffic parameters to evaluate operational performance of freeways. A variety of methods have been proposed to estimate travel times. One feasible solution to estimating travel times is to utilize existing loop detector-based infrastructure since the loops are the most widely deployed detection system in the world. This study proposed a new approach to estimate travel times for freeways. Inductive vehicle signatures extracted from the loop detectors were used to match vehicles from upstream and downstream stations. Ground-truthing was also conducted to systematically evaluate the performance of the proposed algorithm by recognizing individual vehicles captured by video cameras placed at upstream and downstream detection stations. A lexicographic optimization method vehicle reidentification algorithm was developed. Vehicle features representing the characteristics of individual vehicles such as vehicle length and interpolations extracted from the signature were used as inputs of the algorithm. Parameters associated with the signature matching algorithm were calibrated in terms of maximizing correct matching rates. It is expected that the algorithm would be a useful method to estimate freeway link travel times.

Analysis of Spike Motion in Male Professional Volleyball foreigner Players (남자 프로배구 용병선수들의 스파이크 동작 분석)

  • Kang, Sang-Hack
    • Korean Journal of Applied Biomechanics
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    • v.19 no.2
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    • pp.359-367
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    • 2009
  • This study was conducted to provide useful information for the scientific training of spikes and instruction, by analyzing all kinematical variants including time, distance, velocity, angle factors in spike movements of volleyball matches. The subjects were 4 foreigner players, who participated in the V-League of 2008-2009. The conclusion from this study is as follows. Time for a jumping step was .33s, and Angelko had a bit longer takeoff time than other players. In Angelko and Anderson who were leading in attack power, the whole distance of a spike motion was relatively short, less than 4m. The moment when the center of gravity reached the lowest point was when the right foot bearing weight in the jumping step was passing the left foot, and the highest point of gravity was 2.30m, which appeared just before the impact. The horizontal speed of the center of the gravity was highest as 4.19m/s at the beginning of a jumping step, and lowest at the stance phase of the fore foot just before takeoff. The vertical speed of the center of the gravity was lowest after the right foot touched the ground, and highest after the takeoff of the fore foot. Impact was 3.22m, and the highest ball speed was 28.18m/s.

Development of Torpedo Target Detection Section Interface Simulation System based on DEVS Integrated Development Environment (DEVS 통합개발환경 기반 모의 어뢰 표적탐지부 연동장비 개발)

  • Lee, Min Kyu;Hwang, Kun Chul;Lee, Dong Hoon;Nah, Young In;Kim, Woo Shik
    • Journal of the Korea Society for Simulation
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    • v.24 no.1
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    • pp.25-34
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    • 2015
  • It is necessary for us to undergo trial and error for eliciting the rational requirement of the acquisition of weapon systems, but the M&S is general approach due to costs and risk of the development. In addition to the acquisition of weapon systems, M&S is extensively employed in the analysis and the training of developed weapon systems. The ADD (Agency for Defense Development) has developed DEVS integrated development environment (QUEST) that provides M&S general ground technique composed of simulation model implementation services, simulation result analysis services, and simulation interface services. This paper describes the interface architecture and the implementation of torpedo target detection section interface simulation system using QUEST. The torpedo target detection section interface simulation system is composed of torpedo target detection section which calculates a result of target detection and the QUEST scenario generator which provides simulation scenario for performance test of the torpedo target detection section. The interface architecture of torpedo target detection section interface simulation system is designed to verify the interface and performance of the torpedo target detection section by linking with the QUEST scenario generator.

A Method to Develop Security System through the Analysis on Dangerous Case (위해사례분석을 통한 경호제도의 발전방안)

  • Yu, Hyung-Chang;Kim, Tae-Min
    • Korean Security Journal
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    • no.16
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    • pp.161-187
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    • 2008
  • The purpose of this study is to suggest a development method of current Korean security system by analyzing the problems shown in the performance of security work in relation to the terrorism, which is enlarging in the word, from various aspects. In order to perform the study, the researcher considered the basic theory concerned to current Korean law concerned to security, principle and methodology of security, terror and new terrorism. The researcher performed the study by selecting qualitative case study focused on Park Geun-Hye case. Through the study, the methods to develop Korean security system are as follows. First, from the legal aspect, it is necessary to establish the law concerned to terrorism prevention and important person security. Moreover, it is necessary to search for the development of private security by revising Security Industry Act, which is a legal ground of private security. Second, it is necessary to improve and reinforce education & training program, which is not still divided in detail from the aspect of private security cultivation. Moreover, it is necessary to activate personal protection work and enlarge market through Security Industry Act and make an effort to change social recognition over security, which is devaluated in the society. From the viewpoint, national license about private security shall be adopted. The department of president security, which is a representative of official security, shall transfer the advanced technology to private security organization. Third, from the aspect of operation, the operation of security based on SCE principle, human shield principle, the nearest person's protection principle, body extension principle, linear protection principle and evacuation priority principle is required. Therefore, the priority shall be given to preventive security and thorough security plan shall be made for the operation.

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Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

  • Kim, Joo-Chang;Chung, Kyungyong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.2060-2077
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    • 2019
  • Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

A Study on the Analysis of Disaster Prevention Characteristics According to the Surrounding Environments of State-designated Cultural Properties in Gyeongsangnam-do and Gyeongsangbuk-do Provinces (경상남·북도 국가지정 중요목조문화재 주변 환경에 따른 방재특성 분석 연구)

  • Koo, Wonhoi;Baek, Minho
    • Journal of the Society of Disaster Information
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    • v.15 no.1
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    • pp.1-11
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    • 2019
  • Purpose: This study intends to determine how disaster prevention characteristics of important state-designated wooden cultural properties in Gyeongsangnam-do vary according to the surrounding environments and to examine disaster prevention measures for wooden cultural properties that fit their surrounding environments accordingly. Method: The designation status and characteristics of cultural properties in Gyeongsangnam-do and Gyeongsangbuk-do were identified, and the damage status of cultural properties in Gyeongsangnam-do and Gyeongsangbuk-do was reviewed based on the history of disasters. Also, the disaster prevention environments for 58 state-designated wooden cultural properties in Gyeongsangnam-do and Gyeongsangbuk-do were analyzed separately into mountainous area, rural area and urban area, topographic characteristics were drawn. Results: For cultural properties located in urban areas, it was found that security guards were arranged properly and disaster prevention training was carried out well. In addition, access condition to the cultural properties was adequate; prompt access to such properties was possible. In rural areas, flame retardant works have been undertaken properly and many cultural properties were found to be located on a flat ground. Mountainous areas had highly inadequate access condition to cultural properties and disasters occurred most frequently in these areas in the past. Conclution: First, for wooden cultural properties located in urban areas, it is necessary to secure the self-defense fire service manpower for an initial response and reinforce the disaster prevention education. Second, for wooden cultural properties located in rural areas, prevention projects such as insect control project and disaster prevention insurance should be carried out in order to protect the cultural properties. Third, as for wooden cultural properties located in mountainous areas, it is necessary to prepare establish to reinforce self-response capability.

The History and Development of the Marine Environment QA/QC (Quality Assurance/Quality Control) Management System (해양환경 정도관리제도 운영에 대한 고찰)

  • PARK, MI-OK;PARK, JUN-KUN;KIM, SEONG-GIL;KIM, SEONG-SOO
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.26 no.3
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    • pp.185-200
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    • 2021
  • The Marine Environment QA/QC management system has been operated since 2010 to secure the reliability of data and improve the analysis capabilities of measurement and analysis institutions. From 2010 to 2020, the cumulative number of measurement and analysis institutions participated in the QA/QC management system was 266. And the number of certificates issued by the ministry of oceans and fisheries is 182. A total of 32 reference materials for proficiency testing and interlaboratory comparisons have been developed. They were first developed focusing on items (Nutrients, COD) commonly analyzed in marine environmental measuring network, marine pollution impact surveys, sea area utilization impact assessment, deepsea water surveys, and information network on fishing ground environments. In addition, it is time to expand the filed of the QA/QC management system, such as seawater temperature, salinity, PCBs and PAHs in sediments, which are mainly analyzed in most monitoring programs. On-site assessment has been conducted for 162 laboratories according to ISO/IEC 17025 to evaluate their conformity of the quality management system and deficiency. In terms of management and technology requirements, about 4.2% of organizations showed insufficient division of duties among employees 8.7% of them revealed the lack of employee training. By test item, about 6.3% of organizations showed the lack of standard substance management and the state of the cleaning glassware was pointed out in about 5.4% of them. The QA/QC management system should be continuously supplemented by identifying the causes of nonconformities and area for improvement.

A study on EPB shield TBM face pressure prediction using machine learning algorithms (머신러닝 기법을 활용한 토압식 쉴드TBM 막장압 예측에 관한 연구)

  • Kwon, Kibeom;Choi, Hangseok;Oh, Ju-Young;Kim, Dongku
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.2
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    • pp.217-230
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    • 2022
  • The adequate control of TBM face pressure is of vital importance to maintain face stability by preventing face collapse and surface settlement. An EPB shield TBM excavates the ground by applying face pressure with the excavated soil in the pressure chamber. One of the challenges during the EPB shield TBM operation is the control of face pressure due to difficulty in managing the excavated soil. In this study, the face pressure of an EPB shield TBM was predicted using the geological and operational data acquired from a domestic TBM tunnel site. Four machine learning algorithms: KNN (K-Nearest Neighbors), SVM (Support Vector Machine), RF (Random Forest), and XGB (eXtreme Gradient Boosting) were applied to predict the face pressure. The model comparison results showed that the RF model yielded the lowest RMSE (Root Mean Square Error) value of 7.35 kPa. Therefore, the RF model was selected as the optimal machine learning algorithm. In addition, the feature importance of the RF model was analyzed to evaluate appropriately the influence of each feature on the face pressure. The water pressure indicated the highest influence, and the importance of the geological conditions was higher in general than that of the operation features in the considered site.