• 제목, 요약, 키워드: Expected efficiency

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Development of Mixed Sensor Parts for Integrated Radiation Exposure Protection Fireman's Life-saving Alarm (일체형 방사선 피폭 방호 소방관 인명구조 경보기의 혼합형 센서부 개발)

  • Kim, Jae-Hyeong;Lee, Joo-Hyun;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1457-1460
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    • 2019
  • In this paper, we proposed the development of a mixed sensor parts for integrated radiation exposure protection fireman's life-saving alarm that can be location-tracked and irradiated. To measure radiation exposure dose, we use the PIN-Diode radiation measurement sensor module, a semi-conductive radiation measurement sensor that can minimize size and weight. The design for removing leakage current is carried out to enhance the characteristics of the radiation measurement sensor using PIN-Diode. The IMU sensor module is used to estimate the location of the current fireman at the same time as the accident estimate by adding together the data and the values for acceleration on the three axis. Experiments were conductied by an authorized testing agency to determine the efficiency of the proposed mixed sensor parts for integrated radiation exposure protection fireman's life-saving alarms. The cumulative dose measurement range was measured in the range of 10 μSv to 10 mSv, the highest level in the world. The accuracy was measured from ±6.3% to ±9.0% (137 Cs) and normal operation was found at the international standard of ±15%. In addition, positional accuracy was measured within ±10%, resulting in a high level of results, demonstrating its effectiveness. Therefore, it is expected that more firemen will be able to provide with superior performance integrated radiation exposure protection fireman life-saving alarm.

Probabilistic Braking Performance Analysis for Train Control System (열차제어시스템을 위한 확률적 제동성능분석)

  • Choi, Don Bum
    • Journal of The Korean Society For Urban Railway
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    • v.6 no.4
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    • pp.319-326
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    • 2018
  • The safety interval to prevent collision between trains in a train control system is based on the braking distance according to the emergency braking of the train. The evaluation of the braking performance is based on the longitudinal train dynamics or the commissioning test in the test track, but since the conditions such as the weakening of the adhesion coefficient between the wheel and rail can not all be considered, these conventional methods are not sufficient to design of the train control systems. Therefore, in this study, the Monte Carlo Method (MCM) which can consider various environments is used to analyze braking performance and limitations. The braking model is based on the air braking used in the emergency braking and is modeled to take into account the braking pressure, efficiency, friction coefficient, adhesion condition, and vehicle mass distribution. It is confirmed that braking performance can be improved by controlling the quality of braking device. In addition, the change of the braking performance was confirmed according to the vehicle constituting the train. The results of this study are expected to be used as basic information for designing safety clearance for the train control systems and as a basis for improving the braking performance of railway vehicles.

A Study on the Selection of Factors for Evaluating the Efficiency of Slope Reinforcement Using AHP (AHP 분석을 활용한 비탈면 보강공 성능평가를 위한 중요항목 도출에 관한 연구)

  • Lee, Jonghyun;Kim, Oil;Kim, Jinhwan;Kim, Wooseok;Choi, Junghae
    • The Journal of Engineering Geology
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    • v.29 no.4
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    • pp.531-539
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    • 2019
  • Various slope protect systems are applied to the slope located around the major facility to maintain stability, and the applied these systems play an important role in protecting the structure by ensuring the safety of the slope. Reinforcement techniques ensure complete safety at the time of application to the slope, but over time, it may become difficult to secure safety. In particular, the deterioration of reinforcement systems may significantly reduce the stability of the slope. Therefore, it is necessary to secure the safety of the slope by defining the necessary items for maintenance of the protect systems and verifying them by the field expert. In this study, a group of experts were formed to determine these items and select their importance among them, and based on their data, the importance of each item was selected by Analytic Hierarchy Process (AHP). The selected items are expected to play an important role in the maintenance of reinforcement systems applied to the slope based on the survey items used by experts.

Implementation of Service Model for Data-Driven Integrated Urban Management Service Operation Using Blockchain Technology (블록체인 기술을 활용한 데이터 기반 도시 관리 서비스 통합 운영을 위한 서비스 모델 구현)

  • Choi, Sang-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.503-514
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    • 2019
  • This paper proposes a blockchain-based urban service-operation model that can enhance usability by integrating several data-driven services operated in a city. In the proposed model, in order to encourage the participation of service users, the providers of data and values that can be consumed and utilized by each service acquire incentives, and consumers can use various services by paying the incentives. In this way, the proposed service model provides a structure in which various services can be interworked within the incentive system. The characteristics of blockchain technology can also guarantee service operation and management transparency. In addition, in this paper, by establishing and operating a prototype, the efficiency and operability of the proposed model are verified. As a result, three implemented data-driven urban management services are organically inter-compatible based on the concept of the proposed integrated incentive system. In the future, the proposed service model can be applied as an elemental technology of urban operational and management architectures based on citizen participation using local currency, and by cooperating with local economic revitalization projects of interest to many local governments. It is expected that the expansion of the blockchain technology area will also be possible through convergence with smart city services.

A Study on Pipe Model Registration for Augmented Reality Based O&M Environment Improving (증강현실 기반의 O&M 환경 개선을 위한 배관 모델 정합에 관한 연구)

  • Lee, Won-Hyuk;Lee, Kyung-Ho;Lee, Jae-Joon;Nam, Byeong-Wook
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.32 no.3
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    • pp.191-197
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    • 2019
  • As the shipbuilding and offshore plant industries grow larger and more complex, their maintenance and inspection systems become more important. Recently, maintenance and inspection systems based on augmented reality have been attracting much attention for improving worker's understanding of work and efficiency, but it is often difficult to work with because accurate matching between the augmented model and reality information is not. To solve this problem, marker based AR technology is used to attach a specific image to the model. However, the markers get damaged due to the characteristic of the shipbuilding and offshore plant industry, and the camera needs to be able to detect the entire marker clearly, and thus requires sufficient space to exist between the operator. In order to overcome the limitations of the existing AR system, in this study, a markerless AR was adopted to accurately recognize the actual model of the pipe system that occupies the most processes in the shipbuilding and offshore plant industries. The matching methodology. Through this system, it is expected that the twist phenomenon of the augmented model according to the attitude of the real worker and the limited environment can be improved.

Long-term Effects on Forest Biomass under Climate Change Scenarios Using LANDIS-II - A case study on Yoengdong-gun in Chungcheongbuk-do, Korea - (산림경관천이모델(LANDIS-II)를 이용한 기후변화 시나리오에 따른 산림의 생물량 장기변화 추정 연구 -충청북도 영동군 학산면 봉소리 일대 산림을 중심으로 -)

  • Choi, Young-Eun;Choi, Jae-Yong;Kim, Whee-Moon;Kim, Seoung-Yeal;Song, Won-Kyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.22 no.5
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    • pp.27-43
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    • 2019
  • This study applied the LANDIS-II model to the forest vegetation of the study area in Yeongdong-gun, Korea to identify climate effects on ecosystems of forest vegetation. The main purpose of the study is to examine the long-term changes in forest aboveground biomass(AGB) under three different climate change scenarios; The baseline climate scenario is to maintain the current climate condition; the RCP 4.5 scenario is a stabilization scenario to employ of technologies and strategies for reducing greenhouse gas emissions; the RCP 8.5 scenario is increasing greenhouse gas emissions over time representative with 936ppm of $CO_2$ concentration by 2100. The vegetation survey and tree-ring analysis were conducted to work out the initial vegetation maps and data for operation of the LANDIS model. Six types of forest vegetation communities were found including Quercus mongolica - Pinus densiflora community, Quercus mongolica community, Pinus densiflora community, Quercus variabilis-Quercus acutissima community, Larix leptolepis afforestation and Pinus koraiensis afforestation. As for changes in total AGB under three climate change scenarios, it was found that RCP 4.5 scenario featured the highest rate of increase in AGB whereas RCP 8.5 scenario yielded the lowest rate of increase. These results suggest that moderately elevated temperatures and $CO_2$ concentrations helped the biomass flourish as photosynthesis and water use efficiency increased, but huge increase in temperature ($above+4.0^{\circ}C$) has resulted in the increased respiration with increasing temperature. Consequently, Species productivity(Biomass) of trees decrease as the temperature is elevated drastically. It has been confirmed that the dominant species in all scenarios was Quercus mongolica. Like the trends shown in the changes of total AGB, it revealed the biggest increase in the AGB of Quercus mongolica under the RCP 4.5 scenario. AGB of Quercus mongolica and Quercus variabilis decreased in the RCP 4.5 and RCP 8.5 scenarios after 2050 but have much higher growth rates of the AGB starting from 2050 under the baseline scenario. Under all scenarios, the AGB of coniferous species was eventually perished in 2100. In particular they were extinguished in early stages of the RCP 4.5 and RCP 8.5 scenarios. This is because of natural selection of communities by successions and the failure to adapt to climate change. The results of the study could be expected to be effectively utilized to predict changes of the forest ecosystems due to climate change and to be used as basic data for establishing strategies for adaptation climate changes and the management plans for forest vegetation restoration in ecological restoration fields.

The Effect of Judo Training on Body Composition, Blood lipids and Immunity of Security Majoring Obese University Students (유도훈련이 경호전공 비만대학생들의 신체구성, 혈중지질 및 면역력에 미치는 영향)

  • Yang, Sang-Hoon;Park, Dong-Soo
    • Korean Security Journal
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    • no.60
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    • pp.253-282
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    • 2019
  • College students majoring in bodyguards learn and acquire bodyguard martial arts to protect the life and property of the subjects. Also, the bodyguard martial arts are helping to improve and maintain the body and spirit of the bodyguards. However, more and more students majoring in security at universities are becoming obese due to lack of time to participate in bodyguard training and excessive food intake, which could have a negative impact on their future security work as well as their health condition. In this study, the effect of 10 weeks of Judo training on body composition, blood lipid and immune function on Security Majoring obese male college students was determined to be as follows. 1. Weight(p<.05), ; body fat ratio(p<.05), BMI(p<.01) etc. of body composition after Judo training were significantly reduced, and in the case of BMI(F=4.488, p<05), there were significant differences in interaction between groups and timing. 2. After judo training, TC (p<.05) and LDL-C(p<.01) of the blood lipid showed a significant decrease. 3. After judo training, lymphocytes of leukocytes were shown to increase significantly(p<.05), lymphocytes(F=11.772, p<.01) showed significant differences among groups. 4. After judo training, IgA and IgG of immunoglobulin were shown to increase significantly (p<.05), IgA(F=7.646, p<.05) and IgG (F=14.267, p<.01) showed significant differences among groups. Considering the above results, it is thought that judo training can prevent obesity due to reduced body fat and reduce neutral fat and cholesterol, thus preventing arteriosclerotic diseases. In addition, it is expected to play a positive role in defense against human bacterial infections, inflammatory reactions, and external antigen in immune function. It is thought that this will not only prevent the bodyguards' obesity but also maintain a healthy life and improve the security work efficiency. However, some studies have shown results that are somewhat different from the results of this study, so studies on blood lipids, immune function, and exercise will require more detailed research on various methods of exercise, such as exercise time and intensity.

Cost-Benefit Analysis Method for Ageing Equipment of Chemical Plants Using Risk Assessment (위험성평가를 이용한 노후설비에 대한 비용 편익분석 방법)

  • Jung, Soomin;Jung, Changmo;Kang, Seok-Min;Chae, Seungbeen;Kang, Seung-Gyun;Ko, Jae Wook
    • Journal of the Korean Institute of Gas
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    • v.24 no.4
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    • pp.84-92
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    • 2020
  • Most facilities in chemical plants operate in environments that are outside the range of temperature and pressure that can be encountered on a daily basis, and are vulnerable to aging due to these stresses and environmental conditions. The facilities exposed to these conditions are not only likely to fail due to cumulative damage, but also lead to accidents if maintenance and replacement are not performed.Recommendation guidelines called risk-based inspection are widely used around the world-wide. However, limits exist for facilities that have already elapsed for a certain. As a result of the survey on the aging of Ulsan industrial complex in Korea, which carries out proper inspection, many of the facilities have been used for 20 years. Also, most of the facilities where the accident occurred have been in operation for more than 20 years. Therefore, this study suggested criteria for classifying devices that have exceeded a certain period of use as obsolete facilities. In addition, quantitative risk assessment was conducted. The safety investment method using the cost-benefit analysis method was proposed in order to calculate the loss cost and reduce the risk by expressing the risks of the corresponding aged facility as an Economic index. By utilizing the method of cost-benefit analysis of old facilities using the quantitative risk assessment presented in this study, it can be expected to improve the performance and life of old facilities, improve production efficiency and reliability of the system of facilities, change the recognition of safety management costs, increase employee stability, and reduce loss costs.

Development of an Economic Material Selection Model for G-SEED Certification (녹색건축(G-SEED) 인증을 위한 경제적 자재선정 모델 개발)

  • Jeon, Byung-Ju;Kim, Byung-Soo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.6
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    • pp.613-622
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    • 2020
  • The South Korean government plans for a 37 % reduction in CO2 emissions against business as usual by 2030. Subsequently, the Ministry of Land, Infrastructure and Transport declared a 26.9 % reduction target in greenhouse gas emissions from buildings by 2020 and established the Green Standard for Energy and Environmental Design (G-SEED) to help improve the environmental performance of buildings. Construction companies often work with consulting firms to prepare for G-SEED certification. In the process, owing to inefficient data sharing and work connections, it is difficult to achieve economic efficiency and obtain certification. The objective of this study was to develop an economic model to assist contractors in achieving the required G-SEED scores for materials and resources. To do this, we automated the process for material comparison and selection on the basis of an analysis of actual consulting data, and developed a model that selects material alternatives that can meet the required scores at a minimum cost. Information on materials is input by applying a genetic algorithm to the optimization of alternatives. When the model was applied to actual data, the construction cost could be lowered by 79.3 % compared with existing methods. The economical material selection model is expected to not only reduce construction costs for owners desiring G-SEED certification but also shorten the project design time.

A Study on Detecting Fake Reviews Using Machine Learning: Focusing on User Behavior Analysis (머신러닝을 활용한 가짜리뷰 탐지 연구: 사용자 행동 분석을 중심으로)

  • Lee, Min Cheol;Yoon, Hyun Shik
    • Knowledge Management Research
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    • v.21 no.3
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    • pp.177-195
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    • 2020
  • The social consciousness on fake reviews has triggered researchers to suggest ways to cope with them by analyzing contents of fake reviews or finding ways to discover them by means of structural characteristics of them. This research tried to collect data from blog posts in Naver and detect habitual patterns users use unconsciously by variables extracted from blogs and blog posts by a machine learning model and wanted to use the technique in predicting fake reviews. Data analysis showed that there was a very high relationship between the number of all the posts registered in the blog of the writer of the related writing and the date when it was registered. And, it was found that, as model to detect advertising reviews, Random Forest is the most suitable. If a review is predicted to be an advertising one by the model suggested in this research, it is very likely that it is fake review, and that it violates the guidelines on investigation into markings and advertising regarding recommendation and guarantee in the Law of Marking and Advertising. The fact that, instead of using analysis of morphemes in contents of writings, this research adopts behavior analysis of the writer, and, based on such an approach, collects characteristic data of blogs and blog posts not by manual works, but by automated system, and discerns whether a certain writing is advertising or not is expected to have positive effects on improving efficiency and effectiveness in detecting fake reviews.