• Title/Summary/Keyword: upgrading technology

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Improving Performance Certification of Aviation Security Equipment (항공보안장비 성능인증기술 고도화 방안 연구)

  • Jung, Jin Hyeong;Kim, Ki-Yeon;Yoon, Yeon Ah;Kim, Na Yeon;Sim, Hyun Su;Lee, Seung Hoon;Ha, Da Som;Seol, Eun-Suk;Han, Soo Jin;Park, Soo-Hong;Yu, Sang Woo;Kim, Yong Soo
    • Journal of Korean Society for Quality Management
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    • v.48 no.1
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    • pp.187-199
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    • 2020
  • Purpose: This study suggests how to upgrade performance certification technology. Current performance certification of aviation security equipment and the requirements thereof were analyzed. Methods: The performance certification of aviation security equipment worldwide and identified issues with the domestic certification system were compared. The government must upgrade certification in terms of technical standards, the assessment methodology used, and the operating system. Results: Three principal conclusions were drawn. First, certification requirements must be based on a review of the technical literature and real-world experience. Second, development priorities must be set by reference to assessment techniques. Third, both research on the certification system and improvements thereof are essential. Conclusion: Certification of aviation security equipment performance requires gradual upgrading.

Culture Condition of Pseudomonas aeruginosa F722 for Biosurfactant Production

  • Oh, Kyung-Taek;Kang, Chang-Min;Kubo, Motoki;Chung, Seon-Yong
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.11 no.6
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    • pp.471-476
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    • 2006
  • Pseudomonas aeruginosa F722 produces a biosurfactant (BS) during its degradation of carbon and hydrocarbon compounds. The culture conditions for upgrading the biosurfactant productivity were investigated. The concentration of the biosurfactant produced by P. aeruginosa F722 was 0.78 g/L in C-medium; however, this increased to 1.66 g/L in BS medium, which was experimentally adjusted to optimal conditions. $NaNO_{2}$ was found to be most effective for microbial growth, with an $O.D_{600nm}$ of 1.18 for 0.1 % $NaNO_{2}$. Microbial growths, according to the $O.D_{600nm}$ were 2.53, 2.68, 2.89, and 2.87 for glucose, glycerol, $n-C_{10},\;and\;n-C_{22}$, respectively. Clear zone diameters (cm), indicating biosurfactant activity, were 9.0, 8.8, 5.7, and 8.5 for glucose, glycerol, $n-C_{10},\;and\;n-C_{22}$, respectively. Microbial growth was not consistent with the biosurfactant activity. The best biosurfactant activity was found with a C/N ratio of 20. Under optimal culture condition, the average surface tension decreased from 70 to 30 mN/m after 5 days. With aeration of 1.0 vvm, the biosurfactant produced increased to 1.94 g/L (up to 20%) compared to that of 1.66 g/L with no aeration. With aeration, the velocities of glucose degradation during both the log and stationary growth phases increased from 0.25 and $0.18\;h^{-1}$ to 0.33 and $0.29\;h^{-1}$, respectively, and the time for the culture to arrive at the maximum clear zone diameter became shorter, from 80 down to 60 h with no aeration.

Study on the Technological Levels for the Industries Manufacturing the Machinery and Equipment for Livestock Production Facilities (축산시설의 기계 및 설비 산업의 기술 수준 분석 연구)

  • 장동일;장홍희
    • Journal of Animal Environmental Science
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    • v.2 no.1
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    • pp.13-25
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    • 1996
  • This study was conducted to analyze the technological levels of the domestic industries manufacturing the machinery and equipment for livestock production facilities and to lay out a scheme for upgrading the technical improvement. The results of this study are as follows : 1 . According to the study results, the technological levels of the domestic industries for livestock production facilities lag far behind those of the advanced countries in this field. 2. It was found that the ratio engaged in the areas of R&D was 10.7% and lower than that engaged in the other areas and the ratio of junior college graduated engineers engaged in the areas of research and design was 44.4%. Therefore, the amounts of investment for the areas of R&D and design should be increased. 3. In the design area, it was found from the study that the most weakness technologies which should be developed in near future were the universal harvester and the mechanical designing. Therefore, the multipurpose universal harvester suitable to the domestic farmland conditions should be developed and strength, hardness, and durability of materials in the mechanical designing should be improved.

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Exploration of Optimal Product Innovation Strategy Using Decision Tree Analysis: A Data-mining Approach

  • Cho, Insu
    • STI Policy Review
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    • v.8 no.2
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    • pp.75-93
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    • 2017
  • Recently, global competition in the manufacturing sector is driving firms in the manufacturing sector to conduct product innovation projects to maintain their competitive edge. The key points of product innovation projects are 1) what the purpose of the project is and 2) what expected results in the target market can be achieved by implementing the innovation. Therefore, this study focuses on the performance of innovation projects with a business viewpoint. In this respect, this study proposes the "achievement rate" of product innovation projects as a measurement of project performance. Then, this study finds the best strategies from various innovation activities to optimize the achievement rate of product innovation projects. There are three major innovation activities for the projects, including three types of R&D activities: Internal, joint and external R&D, and five types of non-R&D activities - acquisition of machines, equipment and software, purchasing external knowledge, job education and training, market research and design. This study applies decision tree modeling, a kind of data-mining methodology, to explore effective innovation activities. This study employs the data from the 'Korean Innovation Survey (KIS) 2014: Manufacturing Sector.' The KIS 2014 gathered information about innovation activities in the manufacturing sector over three years (2011-2013). This study gives some practical implication for managing the activities. First, innovation activities that increased the achievement rate of product diversification projects included a combination of market research, new product design, and job training. Second, our results show that a combination of internal R&D, job training and training, and market research increases the project achievement most for the replacement of outdated products. Third, new market creation or extension of market share indicates that launching replacement products and continuously upgrading products are most important.

Advanced Korean Industrial Safety and Health Policy with Risk Assessment

  • Kwon, Hyuck-Myun;Cho, Jae-Hyun;Moon, Il;Choi, Jae-Wook;Park, Doo-Yong;Lee, Young-Soon
    • Safety and Health at Work
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    • v.1 no.1
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    • pp.29-36
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    • 2010
  • This article describes a systematic roadmap master plan for advanced industrial safety and health policy in Korea, with an emphasis on. Since Korean industries had first emergence of industrial safety and health policy in 1953, enormous efforts have been made on upgrading the relevant laws in order to reflect real situation of industrial work environment in accordance with rapid changes of Korean and global business over three decades. Nevertheless, current policy has major defects; too much techniques-based articles, diverged contents in less organization, combined enforcement and punishments and finally enforcing regulations full of commands and control. These deficiencies have make it difficult to accommodate changes of social, industrial and employment environment in customized fashion. The approach to the solution must be generic at the level of paradigm-shift rather than local modifications and enhancement. The basic idea is to establish a new system integrated with a risk assessment scheme, which encourages employers to apply to their work environment under comprehensive responsibility. The risk assessment scheme is designed to enable to inspect employers' compliances afterwards. A project comprises four yearly phases based on applying zones; initially designating and operating a specified risk zone, gradually expanding the special zones during a period of 3 years (2010-2012) and the final zone expanded to entire nation. In each phase, the intermediate version of the system is updated through a process of precise and unbiased validation in terms of its operability, feasibility and sustainability with building relevant infrastructures as needed.

Study on Intelligence (AI) Detection Model about Telecommunication Finance Fraud Accident (전기통신금융사기 사고에 대한 이상징후 지능화(AI) 탐지 모델 연구)

  • Jeong, Eui-seok;Lim, Jong-in
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.1
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    • pp.149-164
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    • 2019
  • Digital Transformation and the Fourth Industrial Revolution, electronic financial services should be provided safely in accordance with rapidly changing technology changes in the times of change. However, telecommunication finance fraud (voice phishing) accidents are currently ongoing, and various efforts are being made to eradicate accidents such as legal amendment and improvement of policy system in order to cope with continuous increase, intelligence and advancement of accidents. In addition, financial institutions are trying to prevent fraudulent accidents by improving and upgrading the abnormal financial transaction detection system, but the results are not very clear. Despite these efforts, telecommunications and financial fraud incidents have evolved to evolve against countermeasures. In this paper, we propose an intelligent over - the - counter financial transaction system modeled through scenario - based Rule model and artificial intelligence algorithm to prevent financial transaction accidents by voice phishing. We propose an implementation model of artificial intelligence abnormal financial transaction detection system and an optimized countermeasure model that can block and respond to analysis and detection results.

Hydrogen Sulfide Removal in Full-scale Landfill Gas Using Leachate and Chelated Iron (침출수 및 철킬레이트를 이용한 실규모 매립가스 내 황화수소 제거)

  • Park, Jong-Hun;Kim, Sang-Hyoun
    • Journal of the Korea Organic Resources Recycling Association
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    • v.27 no.2
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    • pp.51-56
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    • 2019
  • $H_2S$ is a detrimental impurity that must be removed for upgrading biogas to biomethane. This study investigates an economic method to mitigate $H_2S$ content, combining scrubbing and aeration. The desulfurization experiments were performed in a laboratory apparatus using EDTA-Fe or landfill leachate as the catalyst and metered mixture of 50-52% (v/v) $CH_4$, 32-33% (v/v) $CO_2$ and 500-1,000 ppmv $H_2S$ balanced by $N_2$ using the C city landfill gas. Dissolved iron concentration in the liquid medium significantly affected the oxidation efficiency of sulfide. Iron components in landfill leachate, which would be available in a biogas/landfill gas utilization facility, was compatible with an external iron chelate. More than 70% of $H_2S$ was removed in a contact time of 9 seconds at iron levels at or over 28 mM. The scrubbing-aeration process would be a feasible and easy-to-operate technology for biogas purification.

Advanced Estimation Model of Runway Visual Range using Deep Neural Network (심층신경망을 이용한 활주로 가시거리 예측 모델의 고도화)

  • Ku, SungKwan;Park, ChangHwan;Hong, SeokMin
    • Journal of Advanced Navigation Technology
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    • v.22 no.6
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    • pp.491-499
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    • 2018
  • Runway visual range (RVR), one of the important indicators of aircraft takeoff and landing, is affected by meteorological conditions such as temperature, humidity, etc. It is important to estimate the RVR at the time of arrival in advance. This study estimated the RVR of the local airport after 1 hour by upgrading the RVR estimation model using the proposed deep learning network. To this end, the advancement of the estimation model was carried out by changing the time interval of the meteorological data (temperature, humidity, wind speed, RVR) as input value and the linear conversion of the results. The proposed method generates estimation model based on the past measured meteorological data and estimates the RVR after 1 hour and confirms its validity by comparing with measured RVR after 1 hour. The proposed estimation model could be used for the RVR after 1 hour as reference in small airports in regions which do not forecast the RVR.

Clusterförderung und -politik in Deutschland (독일의 지역산업 클러스터정책)

  • Ahn, Young-Jin
    • Journal of the Economic Geographical Society of Korea
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    • v.21 no.4
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    • pp.425-437
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    • 2018
  • Since the 1990s, clusters defined as a geographic concentration of interconnected companies, research and educational institutions, technology transfer agencies, and other public or semi-public institutions in a particular field have not only been subject to academic research, but have also become goals for various innovation and regional policies. Over the past 20 years Germany at both the Federal and $L{\ddot{a}}nder$ levels has been pursuing various cluster promotion policies and initiatives for upgrading industries' competitiveness and innovations, and some of these measures have been evaluated as successful. This study aims to examine the industrial cluster promotion policy of Germany. For this purpose, the study first outlines the concept of cluster and cluster policy theoretically, and then explores the formation and historical development of cluster polices of the German federal government.

Methodology of Calibration for Falling Objects Accident-Risk-Zone Approach Detection Algorithm at Port Considering GPS Errors (GPS 오차를 고려한 항만 내 낙하물 사고위험 알고리즘 보정 방법론 개발)

  • Son, Seung-Oh;Kim, Hyeonseo;Park, Juneyoung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.61-73
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    • 2020
  • Real-time location-sensing technology using location information collected from IoT devices is being applied for safety management purposes in many industries, such as ports. On the other hand, positional error is always present owing to the characteristics of GPS. Therefore, accident-risk detection algorithms must consider positional error. This paper proposes an methodology of calibration for falling object accident-risk-zone approach detection algorithm considering GPS errors. A probability density function was estimated, with positional error data collected from IoT devices as a probability variable. As a result of the verification, the algorithm showed a detection accuracy of 93% and 77%. Overall, the analysis results derived according to the GPS error level will be an important criterion for upgrading algorithms and real-time risk managements in the future.