• 한국작물학회:학술대회논문집
• /
• 한국작물학회 2022년도 추계학술대회
• /
• pp.28-28
• /
• 2022

This paper presents the first genome assemblies of Philippine mangoes that provide valuable reference for varietal improvement and genomic studies on mango and related fruit crops. WE sequenced whole genomes of3 species, Mangifera odorata (Huani), Mangifera altissima (Paho), and Mangifera indica 'Carabao' (Sweet Elena). 'Carabao' is the major export variety of the Philippines; Paho is identified as vulnerable by the IUCN Red List of Threatened Species; Huani has fruit sap acrid which is the primary defense mechanism against insects and birds. We used Falcon, a diploid aware -de novo assembler to assemble SMRT generated long-read sequences. Falcon-unzip was employed to phase the output assembly producing larger contig sets (primary contigs) and shorter contigs corresponding to haplotypes (haplotigs). Assembly statistics were generated by comparing the assembly to a reference genome, Tommy Atkins, using Quality Assessment Tool (QUAST). Moreover, the extent of duplication and completeness of gene content was measured using Benchmarking Universal Single-Copy Orthologs (BUSCO). Draft assemblies with high duplications were processed using Purge Haplotigs and Purge Dups to lessen duplications with minimal impact on genome completeness. De novo assemblies of Huani, Paho and 'Carabao' were then generated with primary contig sizes of 463.64 Mb, 508.95 Mb and 401.51 Mb respectively. These draft assemblies of Huani, Paho and 'Carabao' showed 96.90%, 95.17% and 99.07% complete BUSCOs respectively which is comparable to 'Tommy Atkins' genome (98.6%). Using two mango transcriptome data (pooled RNA-seq from different mango varieties and tissues), 91-96% or 24-30 million reads were successfully mapped back for each generated assembly indicating high degree of completeness. The results obtained demonstrated the highly contiguous, phased, and near complete genome assembly of three Philippine mango species for structural and functional annotation of gene units, especially those with economic importance.

• Journal of Information Technology Applications and Management
• /
• 제30권6호
• /
• pp.31-52
• /
• 2023

The government's various support policies have helped Korea's SMEs and startups to grow from the beginning to the end, from domestic companies to exporters. In particular, direct business support policies such as financial support, R&D projects, and export support have been effective in helping a large number of entrepreneurs and startup companies to establish themselves in the market and have achieved tangible results every year since the establishment of the Ministry of SMEs and Startups. As such, the government is making significant efforts to create and promote various types of support policies and to help companies utilize them in their business. However, this study aims to analyze the factors that affect the satisfaction of government policies and the achievement of managerial performance from the companies' perspective and to suggest the purpose of government support policies and the direction companies should take. Specifically, this study categorizes entrepreneurial self-efficacy into marketing, innovation, management, risk-taking, and financial management, using the relationship model of self-efficacy and collective efficacy to ultimately lead to practical results for SMEs and startups support policies. It uses perceived firm efficacy as a variable to reveal the influence relationship. In addition, the direct and mediating effects of entrepreneurial self-efficacy and policy satisfaction on managerial performance were analyzed to determine what SMEs and startups support policies should do. The results showed that, first, among the five components of entrepreneurial self-efficacy, innovation, and risk-taking efficacy positively affected perceived firm efficacy. Second, the specific components of entrepreneurial self-efficacy, marketing, and financial management efficacy positively influenced policy satisfaction. Third, we found that perceived firm efficacy positively influenced policy satisfaction and managerial performance, which are factors of SMEs and startups' policy performance. Specifically, perceived firm efficacy positively influenced policy satisfaction managerial performance. Fourth, we found that policy satisfaction positively influenced managerial performance.

• 무역학회지
• /
• 제45권5호
• /
• pp.239-260
• /
• 2020

This research was conducted on 176 GVCs-related research papers listed in the Index of Korean Academic Writers. The analysis methodology used the keyword network analysis methodology of big data analysis. For the comprehensive analysis of research trends, the research trends through word frequency (TF), important topic (TF-IDF), and topical modeling were analyzed in 176 papers. In addition, the research period of GVCs was divided into the early stages of the first study (2003-2014), the second phase of the study (2015-2017), and the third phase of the study (2018-2020). According to the comprehensive analysis, the GVCs research was conducted with the keyword 'value added' as the center, focusing on the keywords of export (trade), Korea, business, influence, and production. Major research topics were 'supporting corporate cooperation and capacity building' and 'comparative advantage with added value of overseas direct investment'. According to the analysis of major period-specific research trends, GVCs were studied in the early stages of the first phase of the study with global value chain trends and corporate production strategies. In the second research propulsion period, research was done in terms of trade value added. In the recent third phase of the study, small and medium-sized enterprises actively participated in the global value chain and actively researched ways to support the government. Through this study, the importance of the global value chain has been confirmed quantitatively and qualitatively, and it is recognized as an important factor to be considered in the strategy of enhancing industrial competitiveness and entering overseas markets. In particular, small and medium-sized companies' participation in the global value chain and support measures are being presented as important research topics in the future.

• 한국경제지리학회지
• /
• 제26권3호
• /
• pp.274-288
• /
• 2023

농촌 개발 전략의 일환으로 글로벌 가치사슬로의 통합이 주목받고 있지만, 특정 통합이 성공 혹은 실패하는 원인과 메커니즘에 대해서는 알려진 바가 적다. 본 연구는 딸기 수출시장에서 진주지역의 농업인들이 생산자 주도적 가치사슬 거버넌스를 구축한 메커니즘과 그와 동반된 사회환경적 변화를 탐구했다. 이를 위해 딸기 가치 사슬의 특성을 분석했으며, 지대 이론에 의거해 진주와 논산을 비교 분석했다. 5개월에 걸친 현장조사와 이해관계자 심층 인터뷰 결과, 진주에서는 수출가능한 품종과 해당 품종에 적합한 지역 기후 조건으로 인해 자연적 진입장벽을 구축함으로써 수출시장에서의 경제적 지대를 창출했음을 확인했다. 또한 생산자 조직화를 통해 독점 지대와 국가 지원에서 비롯된 추가 수익을 유지했다. 수평적으로 연결된 농민들은 무역업체에 대한 협상력을 높이고 회원 가입을 통제하여 국가 지원에 대한 접근을 관리함으로써 생산자 주도적 가치사슬 내 지위를 공고화했다.

• 스마트미디어저널
• /
• 제12권11호
• /
• pp.134-144
• /
• 2023

Nowadays, Deep Learning (DL) technology is being used in several government departments. South Korea imports a lot of seafood. If the demand for fishery products is not accurately predicted, then there will be a shortage of fishery products and the price of the fishery product may rise sharply. So, South Korea's Ministry of Ocean and Fisheries is attempting to accurately predict seafood imports using deep learning. This paper introduces the solution for the fish import prediction in South Korea using the Long Short-Term Memory (LSTM) method. It was found that there was a huge gap between the sum of consumption and export against the sum of production especially in the case of two species that are Hairtail and Pollock. An import prediction is suggested in this research to fill the gap with some advanced Deep Learning methods. This research focuses on import prediction using Machine Learning (ML) and Deep Learning methods to predict the import amount more precisely. For the prediction, two Deep Learning methods were chosen which are Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM). Moreover, the Machine Learning method was also selected for the comparison between the DL and ML. Root Mean Square Error (RMSE) was selected for the error measurement which shows the difference between the predicted and actual values. The results obtained were compared with the average RMSE scores and in terms of percentage. It was found that the LSTM has the lowest RMSE score which showed the prediction with higher accuracy. Meanwhile, ML's RMSE score was higher which shows lower accuracy in prediction. Moreover, Google Trend Search data was used as a new feature to find its impact on prediction outcomes. It was found that it had a positive impact on results as the RMSE values were lowered, increasing the accuracy of the prediction.

• 현장농수산연구지
• /
• 제26권1호
• /
• pp.5-15
• /
• 2024

중국은 버섯 최대 생산국이자 소비국으로, 중국의 버섯 산업 발전은 버섯 생산과 소비 성향이 비슷한 우리나라에 심각한 위협이 되고 있다. 중국의 버섯 산업은 통계자료가 공표되기 시작한 1985년 경에는 5만 톤 생산에 불과하였으나 2020년에는 년간 생산량이 4,000만 톤을 넘는 산업으로 발전하였다. 중국에서 버섯 산업이 급격한 발전은 높은 수익성과 빠른 자금 회전율, 빠른 투자비 회수, 지방정부의 적극적인 지원, 국민 소득 증가에 따른 건강 식품선호 및 소비 증가와 해외 수출 확대, 그리고 자동화 시설재배의 도입 등을 들 수 있다. 최근 중국도 자동화 시설재배에 의한 버섯 생산이 과잉될 가능성이 많기 때문에 대책을 세우지 않으면 국내 시장을 잠식할 가능성이 높다. 따라서 국내의 버섯 농가와 산업을 보호하기 위해서는 중국의 버섯 산업 현황을 정확히 파악하고 분석하여 대비해야 할 것으로 생각된다.

• 아태비즈니스연구
• /
• 제14권4호
• /
• pp.371-385
• /
• 2023

Purpose - The purpose of this study is to analyze Korea's trade relations centered on the MERCOSUR, a major economic integration in Latin America, and identify its problems and suggest measures that can be taken by the government and corporations to reinforce economic cooperation. Design/methodology/approach - To improve the level of contribution of the study, an empirical analysis is necessary. However, due to limited data access, the study will approach the topic of trade relations between Korea and the MERCOSUR with various statistics and literature. Findings - First, there is an urgent need for changes in import-export goods between Korea and the MERCOSUR, as trade is focused on specific items. Second, although foreign direct investment from Korea to the MERCOSUR is centered in manufacturing and mining industries, there should be different investment strategies by countries and industries. Third, it is necessary to reinforce commercial cooperation. Korea currently has Free Trade Agreements with Chile, Peru, and Columbia, but not with MERCOSUR. Therefore, Korea must take active measures to sign an TA with MERCOSUR, which has been put on hold. Research implications or Originality - Latin America has the most thriving market when it comes to Free Trade Agreements worldwide. MERCOSUR is a South American Trade Bloc established by the Treaty of Asunción in 1991 and Protocol of Ouro Preto in 1994. Its full members are Brazil, Argentina, Uruguay and Paraguay. However, there is still a lack of research on the MERCOSUR, and corporations that aim to enter the Latin American market face difficulties due to lack of information. By investigating MERCOSUR and its prospects and analyzing the trade relations with Korea, this study will provide strategic measures for corporations that wish to enter the Latin American market.

• Asia pacific journal of information systems
• /
• 제20권3호
• /
• pp.191-204
• /
• 2010

Recently, the CO2 emission and energy consumption have become critical global issues to decide the future of nations. Especially, the spread of IT products and the increased use of internet and web applications result in the energy consumption and CO2 emission of IT industry though information technologies drive global economic growth. EU, the United States, Japan and other developed countries are using IT related environmental regulations such as WEEE(Waste Electrical and Electronic Equipment), RoHS(Restriction of the use of Certain Hazardous Substance), REACH(Registration, Evaluation, Authorization and Restriction of CHemicals) and EuP(Energy using Product), and have established systematic green business/IT strategies to enhance the competitiveness of IT industry. For example, the Japan government proposed the "Green IT initiative" for being compatible with economic growth and environmental protection. Not only energy saving technologies but energy saving systems have been developed for accomplishing sustainable development. Korea's CO2 emission and energy consumption continuously have grown at comparatively high rates. They are related to its industrial structure depending on high energy-consuming industries such as iron and steel Industry, automotive industry, shipbuilding industry, semiconductor industry, and so on. In particular, export proportion of IT manufacturing is quite high in Korea. For example, the global market share of the semiconductor such as DRAM was about 80% in 2008. Accordingly, Korea needs to establish a systematic strategy to respond to the global environmental regulations and to maintain competitiveness in the IT industry. However, green competitiveness of Korea ranked 11th among 15 major countries and R&D budget for green technology is not large enough to develop energy-saving technologies for infrastructure and value chain of low-carbon society though that grows at high rates. Moreover, there are no concrete action plans in Korea. This research aims to deduce the priorities of the Korean green business/IT strategies to use multi attribute weighted average method. We selected a panel of 19 experts who work at the green business related firms such as HP, IBM, Fujitsu and so on, and selected six assessment indices such as the urgency of the technology development, the technology gap between Korea and the developed countries, the effect of import substitution, the spillover effect of technology, the market growth, and the export potential of the package or stand-alone products by existing literature review. We submitted questionnaires at approximately weekly intervals to them for priorities of the green business/IT strategies. The strategies broadly classify as follows. The first strategy which consists of the green business/IT policy and standardization, process and performance management and IT industry and legislative alignment relates to government's role in the green economy. The second strategy relates to IT to support environment sustainability such as the travel and ways of working management, printer output and recycling, intelligent building, printer rationalization and collaboration and connectivity. The last strategy relates to green IT systems, services and usage such as the data center consolidation and energy management, hardware recycle decommission, server and storage virtualization, device power management, and service supplier management. All the questionnaires were assessed via a five-point Likert scale ranging from "very little" to "very large." Our findings show that the IT to support environment sustainability is prior to the other strategies. In detail, the green business /IT policy and standardization is the most important in the government's role. The strategies of intelligent building and the travel and ways of working management are prior to the others for supporting environment sustainability. Finally, the strategies for the data center consolidation and energy management and server and storage virtualization have the huge influence for green IT systems, services and usage This research results the following implications. The amount of energy consumption and CO2 emissions of IT equipment including electrical business equipment will need to be clearly indicated in order to manage the effect of green business/IT strategy. And it is necessary to develop tools that measure the performance of green business/IT by each step. Additionally, intelligent building could grow up in energy-saving, growth of low carbon and related industries together. It is necessary to expand the affect of virtualization though adjusting and controlling the relationship between the management teams.

• Asia pacific journal of information systems
• /
• 제18권1호
• /
• pp.79-96
• /
• 2008

One of the roles of the Semantic Web services is to execute dynamic intra-organizational services including the integration and interoperation of business processes. Since different organizations design their processes differently, the retrieval of similar semantic business processes is necessary in order to support inter-organizational collaborations. Most approaches for finding services that have certain features and support certain business processes have relied on some type of logical reasoning and exact matching. This paper presents our approach of using imprecise matching for expanding results from an exact matching engine to query the OWL(Web Ontology Language) MIT Process Handbook. MIT Process Handbook is an electronic repository of best-practice business processes. The Handbook is intended to help people: (1) redesigning organizational processes, (2) inventing new processes, and (3) sharing ideas about organizational practices. In order to use the MIT Process Handbook for process retrieval experiments, we had to export it into an OWL-based format. We model the Process Handbook meta-model in OWL and export the processes in the Handbook as instances of the meta-model. Next, we need to find a sizable number of queries and their corresponding correct answers in the Process Handbook. Many previous studies devised artificial dataset composed of randomly generated numbers without real meaning and used subjective ratings for correct answers and similarity values between processes. To generate a semantic-preserving test data set, we create 20 variants for each target process that are syntactically different but semantically equivalent using mutation operators. These variants represent the correct answers of the target process. We devise diverse similarity algorithms based on values of process attributes and structures of business processes. We use simple similarity algorithms for text retrieval such as TF-IDF and Levenshtein edit distance to devise our approaches, and utilize tree edit distance measure because semantic processes are appeared to have a graph structure. Also, we design similarity algorithms considering similarity of process structure such as part process, goal, and exception. Since we can identify relationships between semantic process and its subcomponents, this information can be utilized for calculating similarities between processes. Dice's coefficient and Jaccard similarity measures are utilized to calculate portion of overlaps between processes in diverse ways. We perform retrieval experiments to compare the performance of the devised similarity algorithms. We measure the retrieval performance in terms of precision, recall and F measure? the harmonic mean of precision and recall. The tree edit distance shows the poorest performance in terms of all measures. TF-IDF and the method incorporating TF-IDF measure and Levenshtein edit distance show better performances than other devised methods. These two measures are focused on similarity between name and descriptions of process. In addition, we calculate rank correlation coefficient, Kendall's tau b, between the number of process mutations and ranking of similarity values among the mutation sets. In this experiment, similarity measures based on process structure, such as Dice's, Jaccard, and derivatives of these measures, show greater coefficient than measures based on values of process attributes. However, the Lev-TFIDF-JaccardAll measure considering process structure and attributes' values together shows reasonably better performances in these two experiments. For retrieving semantic process, we can think that it's better to consider diverse aspects of process similarity such as process structure and values of process attributes. We generate semantic process data and its dataset for retrieval experiment from MIT Process Handbook repository. We suggest imprecise query algorithms that expand retrieval results from exact matching engine such as SPARQL, and compare the retrieval performances of the similarity algorithms. For the limitations and future work, we need to perform experiments with other dataset from other domain. And, since there are many similarity values from diverse measures, we may find better ways to identify relevant processes by applying these values simultaneously.

• 한국문헌정보학회지
• /
• 제32권2호
• /
• pp.211-232
• /
• 1998

본 연구의 목적은 직면하고 있는 기술과 시스템 환경변화에 적합한 정보전문가 양성을 위한 문헌정보학 교육의 내용을 규명해보는데 있다. 그 중에서 현재 정보환경 변화에 따라 요구되는 최신정보기술인 인공지능과 전문가시스템이 필요함을 인식하여 인공지능과 전문가시스템의 어떤 교육내용이 문헌정보학에 도입해야 할 것인가에 대한 해결방안을 모색하고 기본적 자료를 얻어내는데 그 목적이 있다. 본 연구 결과에 따른 내용을 정리하면 다음과 같다. 첫째, 고도의 정보기술과 컴퓨터의 발전으로 인하여 문헌정보학의 전통적인 핵심내용이 새로운 내용 즉 네트워크를 통한 정보원 탐색, 온라인데이터베이스 검색, 정보시스템 분석과 설긴 컴퓨터활용능력, 정보검색전략 개발순으로 나타났다. 둘째. 인공지능과 전문가시스템 교육내용 중에서 문헌정보학 교육에 중요한 내용으로는 데이터베이스처리 시소러스 자연언어처리, 지식표현으로 나타났다. 셋째, 문헌정보학 교수들은 인공지능과 전문가시스템 교과목 주제가 대다수 학생들에게 유용한 주제라고 인식하고 있음이 나타났다. 넷째, 앞으로 사서/정보전문가를 돕는 인공지능과 전문가시스템의 역할이 참고봉사, 편목${\cdot}$ 분류, 정보검색${\cdot}$ 문헌전달 업무에서 더 중요하게 인식하고 있음이 나타났다. 다섯째, 문헌정보학과 교수들이 인공지능과 전문가시스템 교과목 주제를 중요하게 인식함에 따라 앞으로 인공지능과 전문가시스템 교육과정이 국내 문헌정보학 교육과정에 개설될 것으로 나타났으며 인공지능과 전문가시스템 교육내용 중에서 중요하다고 조사된 데이터베이스처리. 시소러스 자연언어처리. 지식표현의 과목은 앞으로 문헌정보학 교육과정에 도입하여야 할 것이다.