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A case of fitness to work in a worker with COPD using the exercise stress test
Yewon Kim,Kyungyong Jung,Ji Young Ryu,Dae Hwan Kim,Sangyoon Lee 대한직업환경의학회 2015 대한직업환경의학회지 Vol.27 No.-
Background: Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease characterized by persistent airflow limitation. Therefore, both work ability and workday length may be affected in individuals with this disease. We studied a worker with suspected COPD and assessed fitness to work using post-bronchodilator spirometry, symptom assessment scales, and the exercise stress test. Case report: The patient was a 58-year-old man due to work as a field supervisor in the ship construction sector. He had a 40 pack-year smoking history and experienced occasional dyspnea when climbing stairs. He visited this hospital to receive cardiopulmonary function tests and to determine his ability to work. Post-bronchodilator spirometry revealed severe irreversible airway obstruction corresponding to a modified Medical Research Council grade of 2 on the dyspnea scale. His COPD Assessment Test score was 12, placing him in patient group D (high risk, more symptoms) based on the Global Initiative for Chronic Obstructive Lung Disease classification system. His maximum oxygen uptake (VO2max) was determined to be 19.16 ml/kg/min, as measured by the exercise stress test, and his acceptable workload for 8 h of physical work was calculated to be 6.51 ml/kg/min. His work tasks required an oxygen demand of 6.89 ml/kg/min, which exceeded the acceptable workload calculated. Accordingly, he was advised to adjust the work tasks that were deemed inappropriate for his exercise capacity. Conclusion: As COPD incidence is expected to rise, early COPD diagnosis and determination of fitness to work is becoming increasingly important. Performing the exercise stress test, to evaluate the functional capacity of workers with COPD, is considered an acceptable solution.
협력적 필터링 기술에서 평균 정보량인 엔트로피를 이용한 효율적인 예측 방법
윤영미(YoungMi Yoon),정경용(KyungYong Jung) 한국정보기술학회 2003 한국정보기술학회논문지 Vol.1 No.1
Existing internet web site is applying Collaborative filtering way to provide service that is personalized by user to maximize user's satisfaction. Collaborative filtering technology forecasts and recommends an appropriate item in accordance with user's inclination, and uses Pearson Correlation Coefficient usually to find correlation with other users that have similar preference. But, method to use Pearson Correlation Coefficient has shortcomings that it can find correlation when there is item that user evaluates only, and that the accuracy of prediction is low. Therefore, this paper proposes the method to measure accurate user's similarity, in order to complement the technique of prediction based on Pearson Correlation relation Proposed method applied entropy to preference degree of item that user votes, and implemented more accurate Collaborative filtering method by applying Default voting method about item that user does not vote preference degree. As a result, we have proven that the proposed method in this paper is effective to measure accuracy user similarity.
Slope Based Intelligent 3D Disaster Simulation Using Physics Engine
Kim, Joo-Chang,Jung, Hoill,Kim, Sungho,Chung, Kyungyong Kluwer Academic Publishers 2016 WIRELESS PERSONAL COMMUNICATIONS Vol. No.
<P>In the modern society, the forms of disasters are getting larger and more diverse by abnormal weather phenomena due to rapid social changes. As human and economic damage is increasing by these disasters, interest in disaster observation and prevention is increasing and studies have been carried out in various fields. In order to minimize disaster damage, National Disaster Information Center provides disaster-related information such as disaster situations, risk index, local situation and so on. At present, however, various descriptive studies on action tips in the event of a disaster, disaster alert, disaster communications network have been in progress but there are few studies on prediction or simulation for preventing disasters etc. Therefore, this paper proposes a slope-based intelligent 3D disaster simulation using a physics engine. The proposed method is to infer a variety of disaster situations that may occur in reality through ontology and apply it to 3D simulation. Disaster situation ontology constitutes context information of outside, inside, disasters etc. and generates rule bases using Jena 2.0 inference engine. Inference results are derived in the form of XML and applicable to a variety of devices. The expression of 3D simulation virtual space is divided into interior and exterior. Interior constitutes the index information based on actually measured terrain and then expresses it into 3D compound type terrain data. Exterior expresses six planes into a hexahedron by using Sky Box technique. Simulation operates object collision, movement, surroundings etc. in real time by using a physics engine and represents a disaster situation in 3D virtual space by using particles function. Based on ontology based context awareness, environment context information on slope, including landslides, snow, rain, fogs, fire, explosion, and smoke, is developed into the slope based intelligent 3D disaster simulation. As a result, depending on geomorphic characteristics, disaster management service can realistically and visually be offered to users in 3D virtual reality. In addition, it is possible to experimentally apply disaster situations virtually through 3D virtual reality, and thereby judge their potential risk.</P>