• Research in Plant Disease
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• v.24 no.1
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• pp.9-25
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• 2018

Plant viruses cause significant yield losses and continuously threaten crop production, representing a serious threat to global food security. Studies on plant-virus interactions have contributed to increase our knowledge on plant immunity mechanism, providing new strategies for crop improvement. The prophylactic managements consist mainly following international legislations, eradication of infected plants, and application of pesticide to decrease the population of vectors. Hence, putting together the pieces of knowledge related to molecular plant immunity to viruses is critical for the control of virus disease in fields. Over the last several decades, the outstanding outcomes of extensive research have been achieved on comprehension of plant immunity to viruses. Although most dominant R genes have been used as natural resistance genes, recessive resistance genes have been deployed in several crops as another efficient strategy to control viruses. In addition, RNA interference also regulates plant immunity and contribute a very efficient antiviral system at the nucleic acid level. This review aims at describing virus disease on crops and summarizes current resistance mechanisms. Furthermore, we will discuss the current biotechnological approaches to control viral diseases and the future questions that are to be addressed to secure crop production against viruses.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7045-7056
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• 2013

Since the first report of RNA interference (RNAi) less than a decade ago, this type of molecular intervention has been introduced to repress gene expression in vitro and also for in vivo studies in mammals. Understanding the mechanisms of action of synthetic small interfering RNAs (siRNAs) underlies use as therapeutic agents in the areas of cancer and viral infection. Recent studies have also promoted different theories about cell-specific targeting of siRNAs. Design and delivery strategies for successful treatment of human diseases are becomingmore established and relationships between miRNA and RNAi pathways have been revealed as virus-host cell interactions. Although both are well conserved in plants, invertebrates and mammals, there is also variabilityand a more complete understanding of differences will be needed for optimal application. RNA interference (RNAi) is rapid, cheap and selective in complex biological systems and has created new insight sin fields of cancer research, genetic disorders, virology and drug design. Our knowledge about the role of miRNAs and siRNAs pathways in virus-host cell interactions in virus infected cells is incomplete. There are different viral diseases but few antiviral drugs are available. For example, acyclovir for herpes viruses, alpha-interferon for hepatitis C and B viruses and anti-retroviral for HIV are accessible. Also cancer is obviously an important target for siRNA-based therapies, but the main problem in cancer therapy is targeting metastatic cells which spread from the original tumor. There are also other possible reservations and problems that might delay or even hinder siRNA-based therapies for the treatment of certain conditions; however, this remains the most promising approach for a wide range of diseases. Clearly, more studies must be done to allow efficient delivery and better understanding of unwanted side effects of siRNA-based therapies. In this review miRNA and RNAi biology, experimental design, anti-viral and anti-cancer effects are discussed.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.231-250
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• 2014

Due to the recent development of Information and Communication Technologies (ICT), the amount of research publications has increased exponentially. In response to this rapid growth, the demand of automated text processing methods has risen to deal with massive amount of text data. Biomedical text mining discovering hidden biological meanings and treatments from biomedical literatures becomes a pivotal methodology and it helps medical disciplines reduce the time and cost. Many researchers have conducted literature-based discovery studies to generate new hypotheses. However, existing approaches either require intensive manual process of during the procedures or a semi-automatic procedure to find and select biomedical entities. In addition, they had limitations of showing one dimension that is, the cause-and-effect relationship between two concepts. Thus;this study proposed a novel approach to discover various relationships among source and target concepts and their intermediate concepts by expanding intermediate concepts to multi-levels. This study provided distinct perspectives for literature-based discovery by not only discovering the meaningful relationship among concepts in biomedical literature through graph-based path interference but also being able to generate feasible new hypotheses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.2 no.2
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• pp.1-5
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• 2001

One of the major advantages of using engineering plastics is ease of part assembly through a locking mechanism known as a snap fit. The typical snap fit involves a short cantilever beam with a projection at the free end. which slides over a one way ramp on the mating part to lock in place. The tightness of the mechanism is determined by the lateral interference of the two sliding members If too small they become loose and can't hold together. while if too large. excessive force can be generated. causing failure of the cantilever beam during the assembly operation. Therefore. the accurate determination of the force-deflection relationship for cantilever beams is a key element in snap fit design. And also. the process of injection molding should be considered when cantilever beam is designed. But it is not easy for novice designers to design them appropriately because of the profound knowledge related to injection molding. In this paper. an intelligent design program has been developed and proposed to improve a conventional empirical design method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.263-269
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• 2017

'Goal Model' is core knowledge of 'Autonomic Control System' suggested to minimize human interference in system management. 'Autonomic Control System' performs 'Monitoring-Analysis-Plan-Execution', that is the four step of 'Autonomic Control', based on 'Goal Model'. Therefore, it is necessary to quantify achievement ratio of 'Goal Model' of target system. Thus, this paper present 'Probabilistic Evaluation of Goal Model' for methodology how to quantify achievement ratio of 'Goal Model'. It comprises 3-steps including 'Goal modeling and weighting', 'Goal model monitoring', 'Goal model evaluation and analysis'. Through these research, we provide core knowledge for 'Autonomic Control system' and it is possible to increase the reliability of system by evaluating 'Goal model' with applying weight. As case study, we apply 'Goal model' to a 'Smart IoT Kit' and we demonstrate the validity of the suggested research.

• The Journal of Information Systems
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• v.10 no.1
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• pp.243-255
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• 2001

소프트웨어 기술의 생명주기가 점점 짧아지고 복잡해짐에 따라 그 기술을 이해하기가 힘들어 진다. 객체지향 기술채택을 더욱 잘 이해하는 것이 이 논문의 연구동기이다. 객체지향 기술이 전통적인 소프트웨어 프로세스 기술에 대한 새로운 패러다임이기 때문에 프로세스 중심의 구조지향 기술과 같은 기존의 소프트웨어 엔지니어링의 경험에 영향을 받을 수 있다. 본 연구의 목적은 이전의 구조지향 기술의 경험과 기술변화에 대한 개인적인 인식이 미국 기업체에서 객체지향 기술채택에 어떻게 영향을 미치는지를 실제로 조사하는데 있다. 2 X 2 유사 실험계획법이 사용되었다. 구조지향 방법을 사용한 경험과 새로운 기술에 대한 개인적 혁신정도(Personal Innovativeness)가 독립변수로, 객체지향 방법에 대한 사용편이성(Ease of Use)과 유용성(Usefulness)이 종속변수로 선정되었다. 데이터는 구조지향 방법과 객체지향 방법을 모두 사용한 경험이 있는 자료처리 및 관리협회(DPMA: Data Processing and Management Association)에 소속된 정보 시스템 전문가로부터 수집되었다. 연구결과는 구조지향 방법을 사용한 경험은 객체지향 방법의 사용편이성과 유용성에 영향을 주지만 개인적 혁신성은 영향을 주지 않는 것으로 나타났다. 과거의 구조지향 방법을 많이 사용하면 할수록 객체지향 방법의 사용편이성 값이 낮게 나타나기 때문에 이전 문헌에서 제시된 구조지향 방법의 객체지향 방법에 대한 지식간섭(Knowledge Interference) 현상이 있음을 실증적으로 보여주었다 마지막에는 본 연구의 한계점과 향후 연구에서 지식간섭을 줄일 수 있는 방안을 제시하였다.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.9
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• pp.4133-4136
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• 2015

Background: To analyze multi-source data including publications and patents, and try to draw the whole landscape of the research and development community in the field of gene therapy for breast cancer. Materials and Methods: Publications and patents were collected from the Web of science and databases of the five major patent offices of the world, respectively. Bibliometric methodologies and technology are used to investigate publications/patents, their contents and relationships. Results: A total of 2,043 items published and 947 patents from 1994 to 2013 including "gene therapy for breast cancer" were retrieved. The top five countries in global publication share were USA, China, Germany, Japan and England. On the other hand, USA, Australia, England, South Korea and Japan were the main producers of patents. The universities and enterprises of USA had the highest amount of publication and patents. Adenovirus- and retrovirus-based gene therapies and small interfering RNA (siRNA) interference therapies were the main topics both in publications and patents. Conclusions: The above results show that global research in the field of gene therapy for breast cancer is increasing and the main participants in this field are USA and Canada in North America, China, Japan and South Korea in Asia, and England, Germany, and Italy in Europe. Also, this article demonstrates the usefulness of bibliometrics to address key evaluation questions and define future areas of research.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.3
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• pp.329-337
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• 2000

This study describes a pressure tracking control of hydroforming process which is used for precision forming of sheet metals. The hydroforming operation is performed in the high-pressure chamber strictly controlled by pressure control valve and by the upward motion of a punch moving at a constant speed, The pressure tracking control is very difficult to design and often does not guarantee satisfactory performances be-cause of the punch motion and the nonlinearities and uncertainties of the hydraulic components. To account for these nonlinearities and uncertainties of the process and iterative learning controller is proposed using Cerebellar Model Arithmetic Computer (CMAC). The experimental results show that the proposed learning control is superior to any fixed gain controller in the sense that it enables the system to do the same work more effectively as the number of operation increases. In addition reardless of the uncertainties and nonlinearities of the form-ing process dynamics it can be effectively applied with little a priori knowledge abuot the process.

• Water for future
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• v.17 no.4
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• pp.303-310
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• 1984

One of the delicate problems in aquifer problems in aquifer management is the identification of the spatial distribution of the hydrological parameters. To determine the distribution of the transmissivity in a aquifer, several data are available; the local values of transmissivity around well, interference tests, some knowledge of geological structure. All this information has to be combined to find a plausible representation of the aquifer. According to a three phased optimization process calculation is carried out; geostatistical estimate of the parameter field on the basis of known well point values adjustable on a limited numerical model, and modification of the values ot pilot points by a minimization algorithm. This procedure, applied to a known case, has proved to be very useful.

• Mycobiology
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• v.29 no.4
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• pp.205-209
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• 2001

The Korean sawmills have recently recognized the importance of prevention of fungal discoloration due to increased losses in revenue. Before establishing integrated control strategies of fungal discoloration, more complete knowledge about causal organisms is needed. As a first step, we initiated a through survey of fungi colonizing commercially important softwood(Pinus dens flora, Pinus koraiensis, and Pinus radiata) logs and lumber in Korea. In this paper we report results obtained from Japanese red pine(Pinus densiflora) log study. In summer 2000, fungi were isolated from Japanese red pine logs in storage, and identified based on their cultural and morphological characteristics. A total of 595 fungi were isolated, representing 21 genera and 30 species. Mold fungi, mostly Trichoderma species, were the most frequently isolating fungi, representing more than half of all isolates. Dematiaceous fungi represented approximately one fifth of the isolates, and Rhinocladiella atorvirens was the most abundant in all samples. Opiostoma species represented 7% of all isolates from cores planted on malt extract agar(MEA) and the incidence of these species doubled with the addition of streptomycin and cycloheximide to MEA. The results indicate that Japanese red pine sapwood is susceptible to colonization by a variety of fungal species. As a result, control strategies that concentrate on one fungus may have limited success because of interference from competing flora.