• Title/Summary/Keyword: Technology-to-Performance Chain

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Employment Statistics on Wind Energy and Analysis of Employment Effects of Korean Government's R&D Investment in Wind Power (풍력분야 고용 현황과 한국정부의 풍력분야 연구개발 투자의 고용창출 효과 분석)

  • Kim, Tae-Hyung;Song, Seung-Ho
    • New & Renewable Energy
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    • v.16 no.2
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    • pp.28-34
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    • 2020
  • The South Korean government invested about 560 billion won in research and development in the wind power sector over 30 years from 1989 to 2019. In addition, the government has been setting up conditions for the country's wind industry to grow through various policies, including the RPS (Renewable Energy Portfolio Standard). As a result, the size of Korea's wind industry has grown to 1.1 trillion won in annual sales and there are 2,000 people working in the wind energy sector. While the domestic market is weak due to the small size of Korea and there are problems with the NIMBY, the government has continued to support technology developments and support market policies. Despite insufficient performance in overseas markets, the effect of the government is still significant on the growth of the wind industry. In particular, the government's R&D investment program, which focuses on enhancing companies' competitiveness, has spurred job creation in the wind industry and a stable research environment for researchers. In this study, we compared the differences between methods of investigating employment statistics in Korea and those of other countries. We also proposed effective investment measures for the government by analyzing the investment effects according to value chain and types of organization.

Development of DNA-Based Assessment Method for Mold in Floor Dust of Dwellings in Korea (바닥 먼지내에서 DNA 기반 곰팡이 분석기법 개발)

  • Lee, Jeong-Sub;Kim, Sung Yeon;Choi, Kil Yong;Ryu, Jungmin;Hwang, Eun Seol;Lee, Juyeong;Kwon, Myunghee;Chung, Hyenmi;Seo, SungChul
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.27 no.4
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    • pp.324-332
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    • 2017
  • Objectives: Much scientific evidence indicate a positive association between moldy environments and respiratory illnesses and/or symptoms. However, few comprehensive assessments of mold have been performed for such settings. Spore counts or microscopic enumeration only may not be sufficient for evaluating fungal exposure. Recently, Mold Specific QPCR technology developed by the US EPA (Environmental Relative Moldiness Index, ERMI) has been widely used worldwide and great performance for assessing fungal exposure has been shown. Methods: We aimed to develop a Korean version of ERMI suitable for the distribution of fungal flora in Korea. Thirty dwellings in the Seoul and Incheon area were selected for sampling, and each was classified as 'Flooded, 'Water-damaged' or 'Non-water-damaged'. Results: Dust on the floor and airborne sampling were collected using an MAS100 and a 'Dustream' collector. Samples were analyzed by quantitative polymerase chain reaction(QPCR) for the 36 molds belonging to ERMI. Student t-test and ANOVA tests were carried out using SAS software. The median ERMI values of flooded, water damaged, and non-water damaged dwellings were 8.24(range: -5.6 to 27.9), 5.47(-25. 4 to 32.7), and -15.30(-24.6 to 14.8), respectively. Significant differences were observed between flooded and non-water damaged dwellings (P=0.001) and between water-damaged and non-water damaged dwellings (P=0.032). Conclusion: Our findings indicate that ERMI values attributed to dust samples in Korea could be applicable for the identification of flooded or water damaged buildings. However, much data is needed for continuously developing the Korean version of ERMI values.

A Study on the Factors Influencing Acceptance Intention and Acceptance Behavior of Technologies Related to the 4th Industrial Revolution and Smart Factory (4차 산업혁명과 스마트 팩토리 관련 기술의 수용의도 및 수용행동 영향요인에 대한 연구)

  • Lee, Yong-Gyu
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.1-18
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    • 2021
  • The purpose of this study is to study the influencing factors that can affect the acceptance intention and acceptance behavior of the 4th Industrial Revolution and smart factory-related technologies by using the expanded UTAUT. Through this, by grasping which influencing factors affect the introduction and acceptance of related technologies, it is to derive strategies for responding to the fourth industrial revolution by manufacturing companies and accepting smart factory related technologies. A survey was conducted on various manufacturing companies, and 167 copies were used for research. As a result of the testing of research hypotheses, performance expectation, social impact, promotion conditions, network effect, and innovation have a positive (+) significant effect on acceptance intention. However, expectation of effort had a positive (+) effect on acceptance intention, but was not significant. Acceptance intention was tested to have a positive (+) significant effect on acceptance behavior. Therefore, factors that should be improved by individual manufacturing companies in the process of responding to the 4th industrial revolution and the introduction and acceptance of smart factory-related technologies are clearly presented.

An Overloaded Vehicle Identifying System based on Object Detection Model (객체 인식 모델을 활용한 적재불량 화물차 탐지 시스템 개발)

  • Jung, Woojin;Park, Yongju;Park, Jinuk;Kim, Chang-il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.562-565
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    • 2022
  • Recently, the increasing number of overloaded vehicles on the road poses a risk to traffic safety, such as falling objects, road damage, and chain collisions due to the abnormal weight distribution, and can cause great damage once an accident occurs. However, this irregular weight distribution is not possible to be recognized with the current weight measurement system for vehicles on roads. To address this limitation, we propose to build an object detection-based AI model to identify overloaded vehicles that cause such social problems. In addition, we present a simple yet effective method to construct an object detection model for the large-scale vehicle images. In particular, we utilize the large-scale of vehicle image sets provided by open AI-Hub, which include the overloaded vehicles from the CCTV, black box, and hand-held camera point of view. We inspected the specific features of sizes of vehicles and types of image sources, and pre-processed these images to train a deep learning-based object detection model. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data. From the result, we believe that public big data can be utilized more efficiently and applied to the development of an object detection-based overloaded vehicle detection model.

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The Differences in Strategic Behaviors and Economic Performances Between Serial and Novice Entrepreneurs (연쇄창업의 행태와 성과에 대한 실증연구: ICT 창업초기 벤처기업을 대상으로)

  • Jo, Yuri
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.3
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    • pp.17-25
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    • 2016
  • This study aims to empirically examine serial entrepreneurship in Korea. Using the ICT startups survey data, I compare serial entrepreneurs with their novice counterparts in terms of business behaviors and performances. I found that serial entrepreneurs are more likely than novice ones to co-found a business with other entrepreneurs, enter a market with relatively large assets and expand their business into overseas market. They tend to put more importance on large-scale production and expansion strategy than first-time entrepreneurs. They are more likely to cooperate with suppliers and customers but less likely with the governments. From their experience of founding and operating businesses, the findings suggest that serial entrepeneurs are more market-oriented and more capable of managing internal human relations and external network of supply chain. Consequently, serial entrepreneurs show stronger early financial performance than novice entrepreneurs especially when they team up to found a business.

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A Study on the Integrated Unrolling, Cutting, and Softening System of Round Bale Silage for Pig Feeding (I) (양돈 급여에 적합한 원형베일 사일리지 해체·세절·연화 일관시스템 연구 (I))

  • Hong, Jong-Tae;Kim, Hyuck-Joo;Yu, Byeong-Kee;Hyun, Chang-Sig;Kim, Sung-Kee;Yoo, Ji-Soo;Hong, Young-Sin;Seo, Hung-Dug
    • Journal of Animal Environmental Science
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    • v.19 no.1
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    • pp.9-18
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    • 2013
  • Currently, there was no producing system of TMR for pig feeding in Korea. In this study, we examined unrolling, cutting, and softening for the round bale silage. We designed and developed the prototype system of round bale silage for pig feeding. Unroll method were lower chain conveying and upper belt conveying which includes an hydraulic vertical fodder knife. Gathering and cutting method were rotating auger and flywheel which have 10 cutters, input roller of 280 rpm, and cutter rotating speed of 1,750 rpm. Softening device was rotating hammer in inclined cylinder adjustable to $25^{\circ}C$ and rotating speed up to 1,300 rpm. The prototype system was integrated working for unrolling, cutting, and softening. We found that when the round bale silage in unrolling apparatus cut length of 20 cm to input cutting apparatus, the cutting performance was well in continuous working up to input rate of 1,000 kg/h, the softening apparatus was working well.

Linking Algorithm between IoT devices for smart factory environment of SMEs (중소기업의 스마트팩토리 환경을 위한 IoT 장치 간 연계 알고리즘)

  • Jeong, Yoon-Su
    • Journal of Convergence for Information Technology
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    • v.8 no.2
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    • pp.233-238
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    • 2018
  • SMEs and small enterprises are making various attempts to manage SMEs in terms of equipment, safety and energy management as well as production management. However, SMEs do not have the investment capacity and it is not easy to build a smart factory to improve management and productivity of SMEs. In this paper, we propose a smart factory construction algorithm that partially integrates the factory equipment currently operated by SMEs. The proposed algorithm supports collection, storage, management and processing of product information and release information through IoT device during the whole manufacturing process so that SMEs' smart factory environment can be constructed and operated in stages. In addition, the proposed algorithm is characterized in that central server manages authentication information between devices to automate the linkage between IoT devices regardless of the number of IoT devices. As a result of the performance evaluation, the proposed algorithm obtained 13.7% improvement in the factory process and efficiency before building the Smart Factory environment, and 19.8% improvement in the processing time in the factory. Also, the cost of input of manpower into process process was reduced by 37.1%.

Nail DNA and Possible Biomarkers: A Pilot Study

  • Park, Joshua;Liang, Debbie;Kim, Jung-Woo;Luo, Yongjun;Huang, Taesheng;Kim, Soo-Young;Chang, Seong-Sil
    • Journal of Preventive Medicine and Public Health
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    • v.45 no.4
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    • pp.235-243
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    • 2012
  • Objectives: Nail has been a substitute DNA source for genotyping. To investigate the integrity and consistency of nail DNA amplification for biomarker study, nail clippings from 12 subjects were collected at monthly intervals. The possibility of longer amplification and existence of GAPDH RNA/protein, were also investigated with three nail samples. Methods: Three primer sets were designed for quantitative amplification of nuclear and mitochondrial genes and analysis of their consistency. The mean threshold cycles in amplification of the target genes were compared to test the consistency of polymerase chain reaction (PCR) performance among individual factors including age groups, sex, family, the nail source, and by the size of the amplification segments. Results: The amplification of the target genes from nail DNA showed similar integrity and consistency between the nail sources, and among the serial collections. However, nail DNA from those in their forties showed earlier threshold cycles in amplification than those in their teens or seventies. Mitochondrial DNA (mtDNA) showed better DNA integrity and consistency in amplification of all three targets than did nuclear DNA (nucDNA). Over 9 kb of mtDNA was successfully amplified, and nested quantitative PCR showed reliable copy numbers (%) between the two loci. Reverse transcription PCR for mRNA and immunoblotting for GAPDH protein successfully reflected their corresponding amounts. Regarding the existence of RNA and protein in nails, more effective extraction and detection methods need to be set up to validate the feasibility in biomarker study. Conclusions: Nail DNA might be a feasible intra-individual monitoring biomarker. Considering integrity and consistency in target amplification, mtDNA would be a better target for biomarker research than nucDNA.

Systematic Literature Review of Smart Trade Contract Research (스마트 무역계약 연구의 체계적 문헌고찰)

  • Ho-Hyung Lee
    • Korea Trade Review
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    • v.48 no.3
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    • pp.243-262
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    • 2023
  • This study provides a systematic review of smart trade contracts, examining the research trends and theoretical background of utilizing smart contracts and blockchain technology for the digitalization and automation of trade contracts. Smart trade contracts are a concept that applies the automated contract system based on blockchain to trade-related transactions. The study analyzes the technical and legal challenges and proposes solutions. The technical aspect covers the development of smart contract platforms, scalability and performance improvements of blockchain networks, and security and privacy concerns. The legal aspect addresses the legal enforceability of smart contracts, automatic execution of contract conditions, and the responsibilities and obligations of contract parties. Smart trade contracts have been found to have applications in various industries such as international trade, supply chain management, finance, insurance, and energy, contributing to the ease of trade finance, efficiency of supply chains, and business model innovation. However, challenges remain in terms of legal regulations, interaction with existing legal frameworks, and technological aspects. Further research is needed, including empirical studies, business model innovation, resolution of legal issues, security and privacy considerations, standardization and collaboration, and user experience studies to address these challenges and explore additional aspects of smart trade contracts.

Effects of Pogonatherum paniceum (Lamk) Hack extract on anti-mitochondrial DNA mediated inflammation by attenuating Tlr9 expression in LPS-induced macrophages

  • Rungthip Thongboontho;Kanoktip Petcharat;Narongsuk Munkong;Chakkraphong Khonthun;Atirada Boondech;Kanokkarn Phromnoi;Arthid Thim-uam
    • Nutrition Research and Practice
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    • v.17 no.5
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    • pp.827-843
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    • 2023
  • BACKGROUND/OBJECTIVES: Mitochondrial DNA leakage leads to inflammatory responses via endosome activation. This study aims to evaluate whether the perennial grass water extract (Pogonatherum panicum) ameliorate mitochondrial DNA (mtDNA) leakage. MATERIALS/METHODS: The major bioactive constituents of P. paniceum (PPW) were investigated by high-performance liquid chromatography, after which their antioxidant activities were assessed. In addition, RAW 264.7 macrophages were stimulated with lipopolysaccharide, resulting in mitochondrial damage. Quantitative polymerase chain reaction and enzyme-linked immunosorbent assay were used to examine the gene expression and cytokines. RESULTS: Our results showed that PPW extract-treated activated cells significantly decrease reactive oxygen species and nitric oxide levels by reducing the p2phox and iNOS expression and lowering cytokine-encoding genes, including IL-6, TNF-α, IL-1β, PG-E2 and IFN-γ relative to the lipopolysaccharide (LPS)-activated macrophages. Furthermore, we observed that LPS enhanced the mtDNA leaked into the cytoplasm, increasing the transcription of Tlr9 and signaling both MyD88/Irf7-dependent interferon and MyD88/NF-κb p65-dependent inflammatory cytokine mRNA expression but which was alleviated in the presence of PPW extract. CONCLUSIONS: Our data show that PPW extract has antioxidant and anti-inflammatory activities by facilitating mtDNA leakage and lowering the Tlr9 expression and signaling activation.