• Title/Summary/Keyword: 위험물 등

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Classification of Fire Causes in Warehouses Using the TRIZ Technique and Analysis of Preventive Measures Accordingto 4M (TRIZ기법에 의한 물류창고의 화재원인 및 4M에 따른 예방대책 분석)

  • Han, Sang-Hun;Kong, Ha-Sung
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.3
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    • pp.401-412
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    • 2020
  • This study analyzed the causes of warehouse fires using a creative problem-solving technique called TRIZ. It identified preventive measures by applying 4M. The results are as follows. First, this study examined the inconsistency among the causes of warehouse fires using TRIZ. Second, it analyzed human factors and fire prevention measures in warehouses such as safety standards for managers, and methods for the promotion of safety consciousness among workers, and for the reinforcement of construction technology for sandwich panel workers. Third, it identified the mechanical and facility factors and fire prevention measures in warehouses such as safety facilities, the expanded installation of safety devices, the adoption and development of fire suppression equipment, and the deployment of methods to improve the fire resistance of sandwich panels. Fourth, it presented working and environmental factors and fire prevention measures in warehouses such as the tightening of safety precautions and the supervision of working methods, and setting fire partitions both in loading places and based on performance-based design. Finally, it proposed managerial factors and fire prevention measures in warehouses such as specific targeting for firefighting with low fire hazards, reviewing the material quality regulations of non-combustible or higher for sandwich panels in the specific target of firefighting that cannot apply fire safety standards, installing sprinklers in cold storage, and mandating the installation of automated facilities with retroactive application regardless of the floor area in the warehouse with a sandwich panel structure.

Inelastic Time History Analysis of an Unbraced 5-Story Steel Framed Structure for Arrangement of Semi-Rigid Connection (반강접 접합부 배치에 따른 비가새 5층 철골골조구조물의 비탄성 시간이력해석)

  • Kang, Suk-Bong;Kim, Sin-Ae
    • Journal of Korean Society of Steel Construction
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    • v.22 no.4
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    • pp.313-324
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    • 2010
  • In this study, an unbraced five-story steel-framed structure was designed in accordance with KBC2005 to understand the features of structural behavior for the arrangement of semi-rigid connections. An inelastic time history analysis of structural models was performed, wherein all the connections were idealized as fully rigid and semi-rigid. Additionally, horizontal and vertical arrangements of semi-rigid connections were used for the models. A fiber model was utilized for the moment-curvature relationship of a steel beam and a column, a three-parameter power model for the moment-rotation angle of the semi-rigid connection, and a three-parameter model for the hysteretic behavior of a steel beam, column, and connection. The base-shear force, top displacement, story drift, required ductility for the connection, maximum bending moment of the column, beam, and connection, and distribution of the plastic hinge were investigated using four earthquake excitations with peak ground acceleration for a mean return period of 2,400 years and for the maximum base-shear force in the pushover analysis of a 5% story drift. The maximum base-shear force and story drift decreased with the outer vertical distribution of the semi-rigid connection, and the required ductility for the connection decreased with the higher horizontal distribution of the semi-rigid connection. The location of the maximum story drift differed in the pushover analysis and the time history analysis, and the magnitude was overestimated in the pushover analysis. The outer vertical distribution of the semi-rigid connection was recommended for the base-shear force, story drift, and required ductility for the connection.

Restoration of a White Porcelain Pitcher Using 3D Printing (3D 프린팅을 이용한 백자수주의 복원 연구)

  • Lee, Haesoon;Wi, Koangchul
    • Conservation Science in Museum
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    • v.16
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    • pp.122-137
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    • 2015
  • White porcelain pitcher with an openwork dragon and cloud design across its surface in the collection of the National Museum of Korea (Deoksu 5531) was acquired in 1915. The restoration has been so far completed only for the mouth of the pitcher. This study discusses a new method based on 3D scanning and printing for the restoration of missing parts in the openwork dragon and cloud design. A strength test was performed on six output materials that have been already commercialized for comparison with the strength of materials used for traditional restoration such as epoxy putty (Quick Wood®) and epoxy (Araldite AY103+HY956®). This process confirmed that the digital technology-aided making of a restoration model requires less time and efforts than handmade work, all the while producing a more precise model. More importantly, this method being a non-contact method, it reduces risks associated with handmade work. Another advantage of this method is that digital pre-restoration images can be saved and used for future references. Notwithstanding, future research is needed on how to effectively apply digital technology for restoration of ancient objects and how to evaluate and use 3D output as well as on the method of shaping, joining and coloring the 3D output.

Hedge Effectiveness in Won-Dollar Futures Markets (원 달러 선물시장을 이용한 헤지효과성)

  • Hong, Chung-Hyo;Moon, Gyu-Hyun
    • The Korean Journal of Financial Management
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    • v.21 no.1
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    • pp.231-253
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    • 2004
  • We examine hedge strategies that use Won-dollar futures to hedge the price risk of the Won-dollar exchange rate. We employ the naive hedge model, minimum variance hedge model and bivariate ECT-ARCH(1) model as hedge instruments, and analyze their hedge performances. The sample period covers from January 2, 2001 to December 31, 2002 with sub-samples such as daily, weekly, bi-weekly prices of the Won-dollar futures and cash. The important findings may be summarized as follows. First, there is no significant difference in hedge ratio between the risk minimum variance model and bivariate ECT-ARCH(1) model that controls for the cointegration relationship of the Won-dollar futures and cash. Second, hedge performance of the naive model and minimum variance model with constant hedge ratios is not far behind that of bivariate ECT-ARCH(1) model with time-varying hedge ratios. This results imply that investors are encouraged to use the minimum variance hedge model to hedge Won-dollar exchange rate with Won-dollar futures. Third, hedge performance and effectiveness of each model is also analyzed with respect to hedge period appear to be greater over long than over the short period. This evidence supports the hypothesis that futures prices would have more time to respond to the greater cash price changes over the longer holding period, leading to an improved hedge performance.

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Development of Prediction Model of Financial Distress and Improvement of Prediction Performance Using Data Mining Techniques (데이터마이닝 기법을 이용한 기업부실화 예측 모델 개발과 예측 성능 향상에 관한 연구)

  • Kim, Raynghyung;Yoo, Donghee;Kim, Gunwoo
    • Information Systems Review
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    • v.18 no.2
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    • pp.173-198
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    • 2016
  • Financial distress can damage stakeholders and even lead to significant social costs. Thus, financial distress prediction is an important issue in macroeconomics. However, most existing studies on building a financial distress prediction model have only considered idiosyncratic risk factors without considering systematic risk factors. In this study, we propose a prediction model that considers both the idiosyncratic risk based on a financial ratio and the systematic risk based on a business cycle. Ultimately, we build several IT artifacts associated with financial ratio and add them to the idiosyncratic risk factors as well as address the imbalanced data problem by using an oversampling technique and synthetic minority oversampling technique (SMOTE) to ensure good performance. When considering systematic risk, our study ensures that each data set consists of both financially distressed companies and financially sound companies in each business cycle phase. We conducted several experiments that change the initial imbalanced sample ratio between the two company groups into a 1:1 sample ratio using SMOTE and compared the prediction results from the individual data set. We also predicted data sets from the subsequent business cycle phase as a test set through a built prediction model that used business contraction phase data sets, and then we compared previous prediction performance and subsequent prediction performance. Thus, our findings can provide insights into making rational decisions for stakeholders that are experiencing an economic crisis.

경험적 방법에 의한 두만강 유사량 추정

  • Lee, Kwang-Man;Jang, Chang-Lae;Kim, Joon-Tae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.1660-1664
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    • 2007
  • 두만강을 중심으로 한 동북아시아의 환경보호를 위한 우선순위에서 토양보호가 높은 순위로 분류된 적은 거의 없었다. 토양손실에 의한 부정적 효과가 사람들에게 잘 알려져 있지 않으며, 특히 농촌에서 토양 보전의 가치를 이해하거나 토양에서 직접적으로 혜택을 받고 있다고 인식하는 사람들은 극히 일부에 지나지 않는다. 실제 동북아시아에서 토양보호와 관련하여 일관되게 접근해야 할 필요성이 국가 정책에 반영되고 그 결과 토양유실보호법이나 환경보호법 내에서 우선순위의 국가정책으로 도입된 것은 불과 지난 10-20년 사이의 일이다. 따라서 이 지역에서의 토사 유실은 매우 심각하며 이로 인해 많은 분제점이 발생하고 있는 것은 당연하다. 수자원과 토지 자원을 잘 보전하고, 물과 토양의 침식을 제어하면서 생태계를 보호하는 것은 두만강 유역에 있는 연안 국가의 현대화를 위한 기초이자 장기 전략과제이다. 대상 지역에서, 토양의 침식형태는 주로 수리적 침식, 바람에 의한 침식, 결빙과 해동에 의한 침식, 산사태, 토석류, 밀도류 및 구릉의 함몰 등이 포함되며 이중 수리적 침식과 산사태에 의한 유실이 가장 일반적이다. 두만강 유역에서 자원의 이용 압력이 땅과 물의 퇴화를 유발한다는 증거가 많아지면서, 자연자원을 관리하는 방법에 더 많은 주의를 기울이고 있으나 퇴사량에 대한 근본적 이해 없이는 불가능해 보인다. 따라서 본 연구에서는 토지 이용관리와 토사를 보호하는 방법을 개발하기 위해 토양의 침식에 대한 현재 상태를 상세하게 확인하였으며, 토양의 중요한 기능이 심각한 퇴화 과정으로 인해 위협받고 있다는 인식에 토대를 두고 토양 보호 프로그램을 유도하기 위해 두만강의 유사량을 경험적 방법을 이용하여 추정하였다.포 분석방법으로는 BW관 방법을 이용하여 분석하였다. 현재까지 국내 외적으로 하천 유사량 산정과 관련된 많은 경험식들이 제시되고 있다. 하지만, 외국의 충적하천에 기초하여 개발되어진 유사량 공식들을 우리나라 하천에 무분별하게 적용하는 것은 위험스러우며, 유사량 산정 결과의 신뢰성을 높이기 위해서는 무엇보다 우리나라 하천의 지형, 수리, 수문학적 요소들이 유사 특성에 미치는 영향을 알아야 한다. 그러므로, 본 연구에서는 실측을 통한 유사량 값을 하천의 지형, 수리, 수문학적 요소들과 비교 분석하여우리나라 하천에 맞는 유사특성을 알아보고, 기타 총유사량산정 공식을 이용하여 실측한 유사량과 비교 분석하고자 한다.호강유역의 급격한 수질개선을 알 수 있다.世宗實錄) $\ulcorner$지리지$\lrcorner$(地理志)와 동년대에 동일한 목적으로 찬술되었음을 알 수 있다. $\ulcorner$경상도실록지리지$\lrcorner$(慶尙道實錄地理志)에는 $\ulcorner$세종실록$\lrcorner$(世宗實錄) $\ulcorner$지리지$\lrcorner$(地理志)와의 비교를 해보면 상 중 하품의 통합 9개소가 삭제되어 있고, $\ulcorner$동국여지승람$\lrcorner$(東國與地勝覽) 에서는 자기소와 도기소의 위치가 완전히 삭제되어 있다. 이러한 현상은 첫째, 15세기 중엽 경제적 태평과 함께 백자의 수요 생산이 증가하자 군신의 변별(辨別)과 사치를 이유로 강력하게 규제하여 백자의 확대와 발전에 걸림돌이

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Establishing Risk Management Process for Improved Business Value of a Multi-Purpose Building Project (복합 시설 프로젝트의 사업 가치 향상을 위한 리스크 관리 프로세스 구축 방안)

  • Lee, Jong-Sik;Cho, Seung-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.22 no.1
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    • pp.64-71
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    • 2018
  • Project Management Institute of America separates the types of risk with external risks and internal risks. The external risk is an uncontrollable risk in projects such as changes of policy and related systems, climate, natural disasters, exchange rates and so on. The internal risk is an existing risk in the project itself that is controllable items in the project. Technical risks in project management are cost, quality, time, safety and environment. Therefore, both the external and internal risks should be managed to perform the construction project successfully. In particular, we can secure the quality and safety of facilities through the technical risk management. The importance of potential risk management has been emerging as a major interest and the lack of risk management delays projects and increases construction costs with negative effects of the building safety since the complex building, which is composed of a great number of facilities, consists of many project units and there are conflicts between various participants and stake-holders. This study presents the ways of establishing risk management processes to ensure the safety of the complex building. To that end, establishing procedure of risk management processes is presented and types of risk and factors in construction projects and counter strategies are presented as available risk information on the stages.

Practical Usage of Low-Temperature Metal Catalyst for the Destruction of Volatile Organic Compounds (VOCs) (휘발성 유기화합물(VOCs) 제거를 위한 저온금속촉매 실용화에 관한 연구)

  • Jung, Sung-Chul;Lee, Seung-Hwan
    • Journal of Korean Society of Environmental Engineers
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    • v.34 no.6
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    • pp.397-405
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    • 2012
  • In this study, performance evaluation of newly developed technology for the economical and safe removal of volatile organic compounds (VOCs) coming out from electronic devices washing operation and offensive odor induction materials was made. Metal oxidization catalyst has shown 50% of removal efficiency at the temperature of $220^{\circ}C$. Composite metal oxidization catalyst applied in this study has shown that the actual catalysis has started at the temperature of $100^{\circ}C$. Comprehensive analysis on the catalyst property using Mn-Cu metal oxidization catalyst in the pilot-scale unit was made and the removal efficiency was variable with temperature and space velocity. Full-scale unit developed based on the pilot-scale unit operation has shown 95% of removal efficiency at the temperature of $160^{\circ}C$. Optimum elimination effective rates for the space velocity was found to be $6,000hr^{-1}$. The most appropriate processing treatment range for the inflow concentration of VOCs was between 200 ppm to 4,000 ppm. Catalyst control temperature showed high destruction efficiency at $150{\sim}200^{\circ}C$ degrees Celsius in 90~99%. External heat source was not necessary due to the self-heat reaction incase of VOCs inflow concentration is more than 1,000 ppm. Equipment and fuel costs compared to the conventional RTO/RCO method can be reduced by 50% and 75% respectively. And it was checked when there was poisoning for sulfide and acid gas.

Experimental Study for Earthquake and Subsidence-resistant Performance Evaluation of iPVC Buried Water Pipe (iPVC 매립 상수도관의 내진 성능 및 내침하 성능 평가를 위한 시험적 연구)

  • Jeon, Bub-Gyu;Chang, Sung-Jin;Kim, Jae-Bong;Ju, Bu-Seog
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.1
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    • pp.16-23
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    • 2020
  • Water pipes are important facilities and consist of pipes of various specifications and materials. The annual average number of earthquakes in Korea is steadily increasing. Therefore, in case of the water pipe, it is estimated necessary to prepare for earthquakes. Damages to the water pipe by the earthquake can cause problems such as water supply and fire suppression, and cause damage to life and property. In Korea, however, it is difficult to find examples of seismic performance evaluation of water pipes based on experimental study. Damage to the water pipes by the earthquake is caused by the displacement-controlled behavior of the ground which is the liquifaction and fault lines. Especially, The damage to the water pipes by the earthquake is concentrated on the joint of the pipe. In particular, piping less than 200mm in diameter was found to be dangerous. Thus, in this study, the seismic and settlement performance of iPVC buried water pipes with fixed joints with a clamp of 150mm was evaluated with a test approach.

Comparative Analysis of CNN Deep Learning Model Performance Based on Quantification Application for High-Speed Marine Object Classification (고속 해상 객체 분류를 위한 양자화 적용 기반 CNN 딥러닝 모델 성능 비교 분석)

  • Lee, Seong-Ju;Lee, Hyo-Chan;Song, Hyun-Hak;Jeon, Ho-Seok;Im, Tae-ho
    • Journal of Internet Computing and Services
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    • v.22 no.2
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    • pp.59-68
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    • 2021
  • As artificial intelligence(AI) technologies, which have made rapid growth recently, began to be applied to the marine environment such as ships, there have been active researches on the application of CNN-based models specialized for digital videos. In E-Navigation service, which is combined with various technologies to detect floating objects of clash risk to reduce human errors and prevent fires inside ships, real-time processing is of huge importance. More functions added, however, mean a need for high-performance processes, which raises prices and poses a cost burden on shipowners. This study thus set out to propose a method capable of processing information at a high rate while maintaining the accuracy by applying Quantization techniques of a deep learning model. First, videos were pre-processed fit for the detection of floating matters in the sea to ensure the efficient transmission of video data to the deep learning entry. Secondly, the quantization technique, one of lightweight techniques for a deep learning model, was applied to reduce the usage rate of memory and increase the processing speed. Finally, the proposed deep learning model to which video pre-processing and quantization were applied was applied to various embedded boards to measure its accuracy and processing speed and test its performance. The proposed method was able to reduce the usage of memory capacity four times and improve the processing speed about four to five times while maintaining the old accuracy of recognition.