• Title/Summary/Keyword: International Technology Transfer

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Chlorophyll Fluorescence Analysis for the Assessment of High Temperature Stress in Citrus During the Coloration Period (엽록소 형광 분석을 활용한 착색기 감귤의 고온 스트레스 평가)

  • Tae Seon Eom;Seung Yeon Jang;Ye Bin Hwang;Sung Yung Yoo;Sung Ku Kang;Ji Su Park;Tae Wan Kim
    • Journal of Environmental Science International
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    • v.33 no.9
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    • pp.613-623
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    • 2024
  • This study was conducted in the greenhouse of the Citrus Research Institute of the Rural Development Administration with the aim of analyzing electron transfer efficiency in citrus under high temperatures caused by climate change and selecting photophysiological indicators to identify high temperature resistant varieties. The "Shiranuhi" cultivar showed no change in maximum fluorescence or Origin-Jump transition stage due to the heat treatment. However, chlorophyll fluorescence parameters, such as RC/CS, ABS/CS, and ETo/CS, increased. Consequently, it was judged that there was no decrease in photosynthetic performance due to high temperature. However, compared to mandarin orange, "unshiu Marcow" was found to have damage to the photosynthetic apparatus due to a significant increase in chlorophyll fluorescence in the O-J transition stage. It was also evaluated as Group III, with the lowest level of high-temperature resistance even in the high-temperature stress index analysis using PI ABS, making it the most vulnerable to high temperatures among the five varieties tested. In conclusion, chlorophyll fluorescence reaction analysis can be used for heat cultivation technology by selecting resistant varieties and identifying the appropriate temperatures.

Social Tagging-based Recommendation Platform for Patented Technology Transfer (특허의 기술이전 활성화를 위한 소셜 태깅기반 지적재산권 추천플랫폼)

  • Park, Yoon-Joo
    • Journal of Intelligence and Information Systems
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    • v.21 no.3
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    • pp.53-77
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    • 2015
  • Korea has witnessed an increasing number of domestic patent applications, but a majority of them are not utilized to their maximum potential but end up becoming obsolete. According to the 2012 National Congress' Inspection of Administration, about 73% of patents possessed by universities and public-funded research institutions failed to lead to creating social values, but remain latent. One of the main problem of this issue is that patent creators such as individual researcher, university, or research institution lack abilities to commercialize their patents into viable businesses with those enterprises that are in need of them. Also, for enterprises side, it is hard to find the appropriate patents by searching keywords on all such occasions. This system proposes a patent recommendation system that can identify and recommend intellectual rights appropriate to users' interested fields among a rapidly accumulating number of patent assets in a more easy and efficient manner. The proposed system extracts core contents and technology sectors from the existing pool of patents, and combines it with secondary social knowledge, which derives from tags information created by users, in order to find the best patents recommended for users. That is to say, in an early stage where there is no accumulated tag information, the recommendation is done by utilizing content characteristics, which are identified through an analysis of key words contained in such parameters as 'Title of Invention' and 'Claim' among the various patent attributes. In order to do this, the suggested system extracts only nouns from patents and assigns a weight to each noun according to the importance of it in all patents by performing TF-IDF analysis. After that, it finds patents which have similar weights with preferred patents by a user. In this paper, this similarity is called a "Domain Similarity". Next, the suggested system extract technology sector's characteristics from patent document by analyzing the international technology classification code (International Patent Classification, IPC). Every patents have more than one IPC, and each user can attach more than one tag to the patents they like. Thus, each user has a set of IPC codes included in tagged patents. The suggested system manages this IPC set to analyze technology preference of each user and find the well-fitted patents for them. In order to do this, the suggeted system calcuates a 'Technology_Similarity' between a set of IPC codes and IPC codes contained in all other patents. After that, when the tag information of multiple users are accumulated, the system expands the recommendations in consideration of other users' social tag information relating to the patent that is tagged by a concerned user. The similarity between tag information of perferred 'patents by user and other patents are called a 'Social Simialrity' in this paper. Lastly, a 'Total Similarity' are calculated by adding these three differenent similarites and patents having the highest 'Total Similarity' are recommended to each user. The suggested system are applied to a total of 1,638 korean patents obtained from the Korea Industrial Property Rights Information Service (KIPRIS) run by the Korea Intellectual Property Office. However, since this original dataset does not include tag information, we create virtual tag information and utilized this to construct the semi-virtual dataset. The proposed recommendation algorithm was implemented with JAVA, a computer programming language, and a prototype graphic user interface was also designed for this study. As the proposed system did not have dependent variables and uses virtual data, it is impossible to verify the recommendation system with a statistical method. Therefore, the study uses a scenario test method to verify the operational feasibility and recommendation effectiveness of the system. The results of this study are expected to improve the possibility of matching promising patents with the best suitable businesses. It is assumed that users' experiential knowledge can be accumulated, managed, and utilized in the As-Is patent system, which currently only manages standardized patent information.

Optimum Selection of BWMS type by AHP for BWMS Development (선박평형수 처리장치 개발시 AHP 기법을 이용한 최적 처리방식 선정에 관한 연구)

  • Lee, Sang Won;Kim, Dong Joon;Seo, Won Chul
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.19 no.1
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    • pp.1-6
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    • 2016
  • Ballast water in ship operation is essential for a safe voyage. However ballast water can contain unwanted organisms that are the cause of disturbing the ecosystem by the transfer of potential invasive species. To prevent the destruction of the environment, the International Convention for the Control and Management of Ship's Ballast Water and Sediments(BWM Convention) was adopted in 2004. BWMS (Ballast Water Management System) has been developed to prevent the transportation of organisms to another region in order to fulfill the requirements IMO (International Maritime Organization) regulations. Nowadays there are about 50 approved Ballast Water Management Systems of various types globally. The most common BWMS types are UV (Ultra Violet), Electrolysis and Ozone. Among these types there are many difficulties in determining the optimum type of BWMS which can be suitable for the user and designer's requirements. The main objective of this research is to select the best BWMS type by using AHP. To apply AHP, the most important criteria for the BWMS development are derived by users and designers. From our results, we can give a guide BWMS type to the developers of BWMS.

A Study on the enforceability of Shrink-wrap License under the Contract Law of USA (미국(美國) 계약법(契約法)하에서 소위 "쉬링크랩라이센스" 계약(契約)에 관한 일고찰(一考察))

  • Hur, Hai-Kwan
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.20
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    • pp.129-150
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    • 2003
  • Software license agreements, to be useful in the mass market, could not be individually negotiated, and had to be standardized and concise. The software license agreement needs to be presented to the licensee-users in a fashion that would allow for mass distribution of software, also for it to enforceable, that would draw the users' attention to the terms and conditions under which the publisher allowed the use of the software. These needs have been accomplished, with or without fail, through so called the "shrink-wrap licenses" Shrink-wrap licenses purpose to transfer computer softwares to their users by defining the terms and conditions of use of the software without implicating the "first sale doctrine" of the Copyright Act. These shrink-wrap licenses have become essential to the software industry. However, in USA, the law applicable to these licenses has been unclear and unsettled. Courts have struggled to develop a coherent framework governing their enforceability. Meanwhile, the National Conference of Commissioners on Uniform State Laws ("NCCUSL") in USA promulgated the Uniform Computer Information Transaction Act ("UCITA") governing contracts for computer information transaction on July 29, 1999. One clear objective of UCITA was to settle the law governing the enforceability of shrink-wrap licenses. In these respects, this paper first introduces the various forms that shrink-wrap licenses take(at Part II. Section 1.), and explains the main advantages of them(at Part II. Section 2.) Here it shows how shrink-wrap licenses value themselves for both software publishers and users, including that shrink-wrap licenses are a valuable contracting tool because they provide vital information and rights to software users and because they permit the contracting flexibility that is essential for today's software products. Next, this paper describes the current legal framework applicable to shrink-wrap licenses in USA(at Part III). Here it shows that in USA the development of case law governing shrink-wrap licenses occurred in two distinct stages. At first stage, judicial hostility toward shrink-wrap licenses marked such that they were not enforced pursuant to Article 2 of the Uniform Commercial Code. At second stage, courts began to recognize the pervasiveness of shrink-wrap licenses, their indispensability to the rapidly expanding information technology industry, and the urgent need to enforce such licenses in order to maintain low prices for consumers of computer hardware or software, resulting in the recognition of shrink-wrap licenses. Finally, in view of the importance of UCITA, this paper examines how it will affect the enforceability of shrink-wrap licenses(at Part IV). The drafters of UCITA, as well as the scholars and practitioners who have criticized it, agree that it validates shrink-wrap licenses, provided certain procedural protections are afforded to purchasers. These procedural protections include the licensee end-user must (i) manifest his assent to the shrink-wrap license, (ii) have an opportunity to review the shrink-wrap license, (iii) have a right to return the product without costs.

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A Study on the Thermal Flow of Waste Heat Recovery Unit (WHRU) for Ship's Organic Rankine Cycle Power Generation System using CFD Method (CFD를 활용한 선박고온도차발전용 WHRU의 열유동 해석에 관한 연구)

  • Whang, Dae-jung;Park, Sang-kyun;Jee, Jae-hoon;Bang, Eun-shin;Oh, Cheol
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.5
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    • pp.647-655
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    • 2021
  • The IMO (International Maritime Organization) is discussing the improvement of energy ef iciency of ships in order to reduce greenhouse gas emissions from ships. Currently, by applying an ORC power generation system using waste heat generated from ships, high energy conversion efficiency can be expected from ships. This technology uses an organic medium based on Freon or hydrocarbons as the working fluid, which evaporates at a lower temperature range than water. Through this, it is possible to generate steam (gas) and generate power at a low and low temperature relatively. In this study, the analysis of heat flow between the refrigerant and waste heat in the ORC power generation system, which is an organic Rankine cycle, is analyzed using 3D simulation techniques to determine the temperature change, velocity change, pressure change, and mass change of the fluid flowing of the WHRU (Waste Heat Recovery Unit) inside and the outside the structure. The purpose of this study is to analyze how the mass change affects the structure, and this study analyzed the heat transfer of the heat exchanger from the refrigerant and the exhaust gas of the ship's main engine in the ORC power generation system using this technique.

Current Research Trends in Entrepreneurship Based on Topic Modeling and Keyword Co-occurrence Analysis: 2002~2021 (토픽모델링과 동시출현단어 분석을 이용한 기업가정신에 대한 연구동향 분석: 2002~2021)

  • Jang, Sung Hee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.3
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    • pp.245-256
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    • 2022
  • The purpose of this study is to provide comprehensive insights on the current research trends in entrepreneurship based on topic modeling and keyword co-occurrence analysis. This study queried Web of Science database with 'entrepreneurship' and collected 14,953 research articles between 2002 and 2021. The study used R program for topic modeling and VOSviewer program for keyword co-occurrence analysis. The results of this study are as follows. First, as a result of keyword co-occurrence analysis, 5 clusters divided: entrepreneurship and innovation cluster, entrepreneurship education cluster, social entrepreneurship and sustainability cluster, enterprise performance cluster, and knowledge and technology transfer cluster. Second, as a result of the topic modeling analysis, 12 topics found: start-up environment and economic development, international entrepreneurship, venture capital, government policy and support, social entrepreneurship, management-related issues, regional city planning and development, entrepreneurship research, and entrepreneurial intention. Finally, the study identified two hot topics(venture capital and entrepreneurship intention) and a cold topic(international entrepreneurship). The results of this study are useful to understand current research trends in entrepreneurship research and provide insights into research of entrepreneurship.

A Study on Recent Research Trend in Management of Technology Using Keywords Network Analysis (키워드 네트워크 분석을 통해 살펴본 기술경영의 최근 연구동향)

  • Kho, Jaechang;Cho, Kuentae;Cho, Yoonho
    • Journal of Intelligence and Information Systems
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    • v.19 no.2
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    • pp.101-123
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    • 2013
  • Recently due to the advancements of science and information technology, the socio-economic business areas are changing from the industrial economy to a knowledge economy. Furthermore, companies need to do creation of new value through continuous innovation, development of core competencies and technologies, and technological convergence. Therefore, the identification of major trends in technology research and the interdisciplinary knowledge-based prediction of integrated technologies and promising techniques are required for firms to gain and sustain competitive advantage and future growth engines. The aim of this paper is to understand the recent research trend in management of technology (MOT) and to foresee promising technologies with deep knowledge for both technology and business. Furthermore, this study intends to give a clear way to find new technical value for constant innovation and to capture core technology and technology convergence. Bibliometrics is a metrical analysis to understand literature's characteristics. Traditional bibliometrics has its limitation not to understand relationship between trend in technology management and technology itself, since it focuses on quantitative indices such as quotation frequency. To overcome this issue, the network focused bibliometrics has been used instead of traditional one. The network focused bibliometrics mainly uses "Co-citation" and "Co-word" analysis. In this study, a keywords network analysis, one of social network analysis, is performed to analyze recent research trend in MOT. For the analysis, we collected keywords from research papers published in international journals related MOT between 2002 and 2011, constructed a keyword network, and then conducted the keywords network analysis. Over the past 40 years, the studies in social network have attempted to understand the social interactions through the network structure represented by connection patterns. In other words, social network analysis has been used to explain the structures and behaviors of various social formations such as teams, organizations, and industries. In general, the social network analysis uses data as a form of matrix. In our context, the matrix depicts the relations between rows as papers and columns as keywords, where the relations are represented as binary. Even though there are no direct relations between papers who have been published, the relations between papers can be derived artificially as in the paper-keyword matrix, in which each cell has 1 for including or 0 for not including. For example, a keywords network can be configured in a way to connect the papers which have included one or more same keywords. After constructing a keywords network, we analyzed frequency of keywords, structural characteristics of keywords network, preferential attachment and growth of new keywords, component, and centrality. The results of this study are as follows. First, a paper has 4.574 keywords on the average. 90% of keywords were used three or less times for past 10 years and about 75% of keywords appeared only one time. Second, the keyword network in MOT is a small world network and a scale free network in which a small number of keywords have a tendency to become a monopoly. Third, the gap between the rich (with more edges) and the poor (with fewer edges) in the network is getting bigger as time goes on. Fourth, most of newly entering keywords become poor nodes within about 2~3 years. Finally, keywords with high degree centrality, betweenness centrality, and closeness centrality are "Innovation," "R&D," "Patent," "Forecast," "Technology transfer," "Technology," and "SME". The results of analysis will help researchers identify major trends in MOT research and then seek a new research topic. We hope that the result of the analysis will help researchers of MOT identify major trends in technology research, and utilize as useful reference information when they seek consilience with other fields of study and select a new research topic.

A Feasibility Study on Developing Snow Melting Systems using CNT-Cement Composite (도로 융설체 개발을 위한 탄소나노튜브-시멘트 복합체 특성에 관한 실험적 연구)

  • Heo, Jinnyung;Park, Bumjin;Kim, Taehyeong
    • International Journal of Highway Engineering
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    • v.15 no.2
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    • pp.29-37
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    • 2013
  • PURPOSES : This study aims to review the possibility of developing a road snow-melting system that can prevent slip accidents by maintaining a constant temperature of the winter roads and enhance performance of structures, including improvement of compressive strength by mixing carbon nanotube (hereafter referred to as CNT) with cement paste, the basic material. METHODS : To achieve the above purpose, an experiment was conducted by mixing power-type CNT and wrap-type CNT up to cement paste formulation by weight of 0.0wt%~4.1wt% in accordance with "KS L ISO 679(of cement strength test method)", and compressive strength was measured at 28 days of curing. In addition, the volume resistivity of the specimen was measured to test thermal and electrical characteristics, and the rate of temperature changes in specimen surface by power consumption was measured by passing electricity through the cross-sections of the specimen. Meanwhile, the criteria for checking the performance as a road snow-melting system was determined as volume resistivity of $100{\Omega}{\cdot}cm$ or less. RESULTS : A comparative analysis between specimen with 0wt% CNT content in plain status and specimen containing various types of CNTs was carried out. From its results, it was found that compressive strength increased approximately 19%, showing the highest rate when 0.2wt% of wrap-type CNT was contained, but volume resistivity of $100{\Omega}{\cdot}cm$ or less appeared only in specimens containing more than 0.2wt% CNT. In addition, it was observed that the surface temperature increased by $4.62^{\circ}C$ per minute on average in specimens containing 3.2wt% CNT. CONCLUSIONS : In this study, CNT was examined as an underlying material for a road snow-melting system, and the possibility of developing the road now-melting system was reviewed by conducting various experiments using CNT-Cement composites. From the experimental results, the specimens were found to have a superior performance when compared to the existing road snow-melting systems that place the heat transfer medium such as copper on the road. However, satisfactory strength performance were not obtained from the specimen containing CNT(2.0% or more) that functions as a heating element, which leads to the need for reviewing methods to increase the strength by using plasticizer or admixture.

Bio-sensing Data Synchronization for Peer-to-Peer Smart Watch Systems (피어-투-피어 스마트워치 시스템을 위한 바이오 센싱 데이터 동기화)

  • LEE, Tae-Gyu
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.813-818
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    • 2020
  • Recently, with the rapid increase in technology and users of smart devices, the smart watch market has grown, and its utility and usability are continuously expanding. The strengths of smartwatches are wearable portability, application immediacy, data diversity and real-time capability. Despite these strengths, smartwatches have limitations such as battery limitations, display and user interface size limitations, and memory limitations. In addition, there is a need to supplement developers and standard devices, operating system standard models, and killer application modules. In particular, monitoring and application of user's biometric information is becoming a major service for smart watches. The biometric information of such a smart watch generates a large amount of data in real time. In order to advance the biometric information service, stable peer-to-peer transmission of sensing data to a remote smartphone or local server storage must be performed. We propose a synchronization method to ensure wireless remote peer-to-peer transmission stability in a smart watch system. We design a wireless peer-to-peer transmission process based on this synchronization method, analyze asynchronous transmission process and proposed synchronous transmission process, and propose a transmission efficiency method according to an increase in transmission amount.

An Information Management Strategy Over Entire Life Cycles of Hazardous Waste Streams (유해폐기물 생애 전주기 흐름 기반 정보 관리 전략)

  • Lee, Sang-hun;Kim, Jungeun
    • Clean Technology
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    • v.26 no.3
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    • pp.228-236
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    • 2020
  • Korea has an economy based on manufacturing industrial fields, which produce high amounts of hazardous wastes, in spite of few landfill candidates, and a significant concern for fine airborne particulates; therefore, traditional waste management is difficult to apply in this country. Moreover, waste collection and accumulation have recently been intensified by the waste import prohibitions or regulations in developing nations, the universalization of delivery services in Korea, and the global COVID-19 crisis. This study thus presents a domestic waste management strategy that aims to address the recent issues on waste. The contents of the strategy as the main results of the study include the (1) improvement of the compatibility of the classification codes between the domestic hazardous waste and the international ones such as those of the Basel Convention; (2) consideration of the mixed hazard indices to represent toxicity from low-content components such as rare earth metals often contained in electrical and electronic equipment waste; (3) management application based on risks throughout the life cycles of waste; (4) establishment of detailed material flow information of waste by integrating the Albaro system, Pollutant Release and Transfer Register (PRTR) system, and online trade databases; (5) real-time monitoring and prediction of the waste movement or discharge using positional sensors and geographic information systems, among others; and (6) selection and implementation of optimal treatment or recycling practices through Life Cycle Assessment (LCA) and clean technologies.