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Analysis of Rice Blast Outbreaks in Korea through Text Mining (텍스트 마이닝을 통한 우리나라의 벼 도열병 발생 개황 분석)

  • Song, Sungmin;Chung, Hyunjung;Kim, Kwang-Hyung;Kim, Ki-Tae
    • Research in Plant Disease
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    • v.28 no.3
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    • pp.113-121
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    • 2022
  • Rice blast is a major plant disease that occurs worldwide and significantly reduces rice yields. Rice blast disease occurs periodically in Korea, causing significant socio-economic damage due to the unique status of rice as a major staple crop. A disease outbreak prediction system is required for preventing rice blast disease. Epidemiological investigations of disease outbreaks can aid in decision-making for plant disease management. Currently, plant disease prediction and epidemiological investigations are mainly based on quantitatively measurable, structured data such as crop growth and damage, weather, and other environmental factors. On the other hand, text data related to the occurrence of plant diseases are accumulated along with the structured data. However, epidemiological investigations using these unstructured data have not been conducted. The useful information extracted using unstructured data can be used for more effective plant disease management. This study analyzed news articles related to the rice blast disease through text mining to investigate the years and provinces where rice blast disease occurred most in Korea. Moreover, the average temperature, total precipitation, sunshine hours, and supplied rice varieties in the regions were also analyzed. Through these data, it was estimated that the primary causes of the nationwide outbreak in 2020 and the major outbreak in Jeonbuk region in 2021 were meteorological factors. These results obtained through text mining can be combined with deep learning technology to be used as a tool to investigate the epidemiology of rice blast disease in the future.

A Study on Method of Citizen Science and Improvement of Performance as a Ecosystem Conservation and Management Tool of Wetland Protected Areas (Inland Wetland) - Focused on the Target of Conservation·Management·Utilization in Wetland Protected Area Conservation Plan - (내륙 습지보호지역의 생태계 보전·관리 도구로서 시민과학연구 방법론 및 성과 제고 방안 - 습지보호지역 보전계획의 보전·관리·이용 목표를 중심으로 -)

  • Inae Yeo;Changsu Lee;Ji Hyun Kang
    • Journal of Environmental Impact Assessment
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    • v.32 no.6
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    • pp.450-462
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    • 2023
  • This study suggested methodology of Citizen Science as a tool of ecosystem conservation and management to achieve Wetland Protected Area (WPA) Conservation Plan and examined whose applicability in 3 WPAs (Jangrok of Gwangju metropolitan city, Madongho of Goseong in South Gyeongsang Province, and Incheongang estuary of Gochang in North Jeolla Province). It consists of a) figuring out main interests and stakeholder or beneficiaries of WPA and their information demand based on conservation, utilization, and management target in the WPA Conservation Plan, b) conducting research activities to gain outcome to address stakeholder's demand, and c) returning the research outcome to citizen scientists and making diffusion to the society. Based on the suggested method and process, citizen scientists conducted ecosystem monitoring (plants including Invasive Alien Plants, terrestrial insects, traces of mammals, discovering unknown wetland). As a result, citizen scientists contributed to collecting species information of 16 plans, 43 species of terrestrial insects, 5 mammals including Lutra lutra (Endangered Species I) and Prionailurus bengalensis (Endangered Species II). The authors constructed and provided distribution map of Invasive Alien Plants, which included information of location and density which citizen scientists registered, for Environment Agencies and local governments who manage 3 WPAs to aid data-based ecosystem policy, In further studies, not only accumulating research data and outcomes acquired from citizen science to suffice the policy demands but also deliberate reviewing policy applicability and social·economic ripple effect should be processed for the suggested Citizen Science in WPA to be settled down as a tool of ecosystem conservation and management.

Survey on the distribution of ancient tombs using LiDAR measurement method (라이다(LiDAR) 측량기법을 활용한 고분분포현황 조사)

  • SIM Hyeoncheol
    • Korean Journal of Heritage: History & Science
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    • v.56 no.4
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    • pp.54-70
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    • 2023
  • Surveys and studies on cultural assets using LiDAR measurement are already active overseas. Recently, awareness of the advantages and availability of LiDAR measurement has increased in Korea, and cases of using it for surveys of cultural assets are gradually increasing. However, it is usually restricted to surveys of mountain fortresses and is not actively used for surveys of ancient tombs yet. Therefore, this study intends to emphasize the need to secure fundamental data from LiDAR measurement for the era from the Three Kingdoms to Unified Silla in which recovery, maintenance, etc., in addition to the actual surveys, are unfulfilled due to the sites being mainly distributed in mountainous areas. For this, LiDAR measurement was executed for the area of Jangsan Ancient Tombs and Chunghyo-dong Ancient Tombs in Seoak-dong, Gyeongju, to review the distribution and geographical conditions of ancient tombs. As a result, in the Jangsan Ancient Tombs, in which a precision archaeological (measurement) survey was already executed, detailed geographic information and distribution conditions could be additionally identified, which could not be known only with the layout indicated by the topographic map of the existing report. Also, in the Chunghyo-dong Ancient Tombs, in which an additional survey was not conducted after 10 tombs were found during the Japanese colonial period, the location of the ancient tombs initially excavated was accurately identified, and the status and additional information was acquired, such as on the conditions of ancient tombs not surveyed. Such information may also be used as fundamental data for the preservation and maintenance of future ancient tombs in addition to the survey and study of the ancient tombs themselves. LiDAR measurement is most effective for identifying the condition of ancient tombs in mountainous areas where observation is difficult or access is limited due to the forest zone. It may be executed before on-site surveys, such as archaeological surveys, to secure data with high availability as prior surveys or pre-surveys. Therefore, it is necessary to secure fundamental data from LiDAR measurement in future surveys of ancient tombs and to establish a survey and maintenance/utilization plan based on this. To establish survey/study and preservation/maintenance measures for ancient tombs located in mountainous areas, a precision archaeological survey is currently executed to draw up a distribution chart of ancient tombs. If LiDAR measurement data is secured before this and used, a more effective and accurate distribution chart can be drawn up, and the actual conditions can be identified. Also, most omissions or errors in information can be prevented in on-site surveys of large regions. Therefore, it is necessary to accumulate fundamental data by actively using LiDAR measurement in future surveys of ancient tombs.

A Study on the Determinants of Patent Citation Relationships among Companies : MR-QAP Analysis (기업 간 특허인용 관계 결정요인에 관한 연구 : MR-QAP분석)

  • Park, Jun Hyung;Kwahk, Kee-Young;Han, Heejun;Kim, Yunjeong
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.21-37
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    • 2013
  • Recently, as the advent of the knowledge-based society, there are more people getting interested in the intellectual property. Especially, the ICT companies leading the high-tech industry are working hard to strive for systematic management of intellectual property. As we know, the patent information represents the intellectual capital of the company. Also now the quantitative analysis on the continuously accumulated patent information becomes possible. The analysis at various levels becomes also possible by utilizing the patent information, ranging from the patent level to the enterprise level, industrial level and country level. Through the patent information, we can identify the technology status and analyze the impact of the performance. We are also able to find out the flow of the knowledge through the network analysis. By that, we can not only identify the changes in technology, but also predict the direction of the future research. In the field using the network analysis there are two important analyses which utilize the patent citation information; citation indicator analysis utilizing the frequency of the citation and network analysis based on the citation relationships. Furthermore, this study analyzes whether there are any impacts between the size of the company and patent citation relationships. 74 S&P 500 registered companies that provide IT and communication services are selected for this study. In order to determine the relationship of patent citation between the companies, the patent citation in 2009 and 2010 is collected and sociomatrices which show the patent citation relationship between the companies are created. In addition, the companies' total assets are collected as an index of company size. The distance between companies is defined as the absolute value of the difference between the total assets. And simple differences are considered to be described as the hierarchy of the company. The QAP Correlation analysis and MR-QAP analysis is carried out by using the distance and hierarchy between companies, and also the sociomatrices that shows the patent citation in 2009 and 2010. Through the result of QAP Correlation analysis, the patent citation relationship between companies in the 2009's company's patent citation network and the 2010's company's patent citation network shows the highest correlation. In addition, positive correlation is shown in the patent citation relationships between companies and the distance between companies. This is because the patent citation relationship is increased when there is a difference of size between companies. Not only that, negative correlation is found through the analysis using the patent citation relationship between companies and the hierarchy between companies. Relatively it is indicated that there is a high evaluation about the patent of the higher tier companies influenced toward the lower tier companies. MR-QAP analysis is carried out as follow. The sociomatrix that is generated by using the year 2010 patent citation relationship is used as the dependent variable. Additionally the 2009's company's patent citation network and the distance and hierarchy networks between the companies are used as the independent variables. This study performed MR-QAP analysis to find the main factors influencing the patent citation relationship between the companies in 2010. The analysis results show that all independent variables have positively influenced the 2010's patent citation relationship between the companies. In particular, the 2009's patent citation relationship between the companies has the most significant impact on the 2010's, which means that there is consecutiveness regarding the patent citation relationships. Through the result of QAP correlation analysis and MR-QAP analysis, the patent citation relationship between companies is affected by the size of the companies. But the most significant impact is the patent citation relationships that had been done in the past. The reason why we need to maintain the patent citation relationship between companies is it might be important in the use of strategic aspect of the companies to look into relationships to share intellectual property between each other, also seen as an important auxiliary of the partner companies to cooperate with.

A Study on the Forest Vegetation Classification and Analysis of Interspecific Association in Mt. Munsu and Mt. Okseok (문수산.옥석산 일대의 산림식생유형 분류와 종간연관 분석)

  • Kim, Hye-Jin;Yun, Chung-Weon
    • Journal of Korean Society of Forest Science
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    • v.98 no.4
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    • pp.379-391
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    • 2009
  • This study was carried out to classify forest vegetation structure of Mt. Munsu and Mt. Okseok from May to September in 2008 using phytosociological analysis methodology of Z-M school under the purpose of furnishing basic materials for rational and scientific forest management. Total of one hundred five study sites (quadrats) was investigated in the area. Quercus mongolica community group was divided into 5 communities such as Pinus densiflora for. erecta community, Hydrangea serrata for. acuminata community, Salix gracilistyla community, Pinus koraiensis community and Larix kaempferi community. Pinus densiflora for. erecta community was subdivided into Rhododendron micranthum group, Quercus variabilis group and Pinus densiflora for. erecta typical group. Hydrangea serrata for. acuminata community also into Ligularia fischeri group, Deutzia glabrata group (into Juglans mandshurica subgroup, Prunus maackii subgroup and Callicarpa japonica subgroup). Accordingly, the vegetation of the study areas could be described as 1 community group, 5 communities, 5 groups, and 3 subgroups and as 10 units in total. Classified vegetation units were highly correlated with altitude and topography. According the analysis of interspecific association, it was shown as three types which were coincident with differential species and character species on the constancy table.

Predicting Highway Concrete Pavement Damage using XGBoost (XGBoost를 활용한 고속도로 콘크리트 포장 파손 예측)

  • Lee, Yongjun;Sun, Jongwan
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.6
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    • pp.46-55
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    • 2020
  • The maintenance cost for highway pavement is gradually increasing due to the continuous increase in road extension as well as increase in the number of old routes that have passed the public period. As a result, there is a need for a method of minimizing costs through preventative grievance Preventive maintenance requires the establishment of a strategic plan through accurate prediction old Highway pavement. herefore, in this study, the XGBoost among machine learning classification-based models was used to develop a highway pavement damage prediction model. First, we solved the imbalanced data issue through data sampling, then developed a predictive model using the XGBoost. This predictive model was evaluated through performance indicators such as accuracy and F1 score. As a result, the over-sampling method showed the best performance result. On the other hand, the main variables affecting road damage were calculated in the order of the number of years of service, ESAL, and the number of days below the minimum temperature -2 degrees Celsius. If the performance of the prediction model is improved through more data accumulation and detailed data pre-processing in the future, it is expected that more accurate prediction of maintenance-required sections will be possible. In addition, it is expected to be used as important basic information for estimating the highway pavement maintenance budget in the future.

The Effect of Job Characteristics on the Coffee Shop Barista Job Satisfaction and Turnover Intention - Focusing on Seoul·Gyeonggi Area - (커피전문점 바리스타의 직무특성이 직무만족, 이직의도에 미치는 영향 - 서울·경기 지역을 중심으로 -)

  • Kim, Jin-Hyung;Lee, Kang-Yeon;Yang, Dong-Hwi
    • Culinary science and hospitality research
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    • v.22 no.4
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    • pp.222-239
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    • 2016
  • This study is composed of both a research of research literature and empirical analysis. With regard to literature based, consideration was given to present conditions of domestic coffee shops, thhe definition of barista, the duty characteristics baristas, and intention to change job. Empirical analysis established hypotheses and verified the effect of duty characteristics on job satisfaction and turnover intention. A survey to verifying the hypothesis of study was performed for 400 baristas who were working at their coffee shops with selecting coffee shops randomly in Seoul and Kyeonggi-do. 2012.08.15~2012.08.30, for 15 days, I performed survey, without faithless answers and questionnaires which weren't written, I used total 331 papers for actual analysis. Collected basic data were analyzed through SPSS 18.0 program by frequency analysis, correlation analysis, factorial analysis, reliability analysis, regression analysis, and so on. I suggested like this for managing effective human resources. For increasing satisfaction of duty of barista, manager should give opportunity for attending important duty to barista, and because of this, barista can feel sense of responsibility and self-esteem.

A Study on Partnerships in the Development of Parks in UK (영국(英國) 공원개발에 있어서의 파트너십에 관한 연구)

  • Kim, Yun-Geum;Roe, Maggie
    • Journal of the Korean Institute of Landscape Architecture
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    • v.35 no.2 s.121
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    • pp.1-12
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    • 2007
  • 근래 한국에서도 대표적 공공공간인 공원의 조성 및 관리와 관련하여 파트너십에 대한 관심이 일고 있다. 주민들이 만들어가는 공원, 다양한 힘의 역학구조 속에서 공공성 유지, 지속 가능한 사회 구현에 도움이 될 것이라는 전망 때문이다. 이에 본 연구에서는 추후 한국에서의 실천과 제도정비에 도움이 될 수 있도록, 영국에서는 어떻게 정책적으로 파트너쉽을 유도하는지 그리고 커뮤니티는 이를 어떻게 수용하여 자신들의 사례를 만들어 가는가를 살펴보았다. 사례연구에 있어서는 질적 연구방법을 택했으며, 분석보다는 사례가 갖는 내러티브(narratives)를 다층적으로 서술하는데 초점을 두었다. 이것은 거대 내러티브가 사라지고 있는 현대 사회에서 일반적 원칙보다는 개별 사례의 구체성을 밝히는 것이 보다 중요하다는 일부 사회학 연구자들의 견해를 수용한 것이다. 더욱이, 주민참여 관련 사례는 지역특성과 주민의 영향을 많이 받기 때문에 이러한 연구방법이 유용할 것이다. 더불어, 이러한 방식은 자못 추상적 이해에 그칠 외국 사례를 보다 구체적으로 이해하는데 적합할 것이다. 연구결과에 있어, 먼저 영국에서는 지방의제21(LA21)이 지방정부의 서비스에 대한 근본적 태도와 체계를 바꾸는데 기여했다는 것을 알 수 있었다. 일례로, 뉴캐슬(Newcastle upon Tyne)시는 직접 서비스를 제공하기 보다는 주민들의 참여를 촉진하고 도와주는 방향으로 역할을 전환하고 있었다. 그리고 다양한 자금지원체계는 직접적으로 파트너십을 독려하고 있었다. 영국 뉴캐슬(Newcastle upon Tyne) 웨이브리 파크(Waverley Park) 사례를 살펴본 바에 따르면, 파트너십에 대한 지방정부의 태도가 성공적 파트너십에 있어 중요한 요소임을 확인할 수 있었다. 이 사례에서는 프렌즈그룹 이외, 커뮤니티 외부의 비영리 단체가 참여하지 않았는데, 이는 지방정부가 적극적으로 주민들의 참여를 촉구하고 도왔기 때문이다. 이외, 커뮤니티의 구성원과 공무원들의 개인적 역할도 중요하다는 것을 알 수 있었다. 중앙정부는 단지 자금뿐만이 아니라 다양한 사례에서 축적한 정보를 커뮤니티에 지원하고 전 과정을 모니터링 하고 있었는데, 간접적 참여라고 할 수 있다. 앞에서 언급했듯이, 본 연구는 영국에서의 파트너십과 관련된 제도, 그리고 제도가 구체적 현실에서 작동되면서 나타나는 특수성을 살펴보는 데 주력했다. 그런데 사례 연구에서 발견한 특수성을 한국에서의 시사점으로 명시하는 것은 한계가 있을 수 있다. 그래서 시사점은, 제도적 차원에서 한국과 영국을 비교하여 간략하게 제시했다. 첫째, 지방의제 21의 수용 방식이다. 한국의 지방정부 또한 지방의제 21을 실천하기 위해 협의회 등을 설치하였지만 행정 시스템을 전반적으로 변화시키고 있는 영국과는 차이점이 있다. 둘째, 공원과 녹지에 대한 지원금이 제공될 때, 지역주민의 동의를 요구하는 것은 커뮤니티의 참여를 독려하고 주인의식을 갖도록 하는데 효과적이라는 것도 시사점이 될 수 있다. 한국에서도 녹색복권 등 세원 이외의 자금이 공원 및 녹지 공간에 투입되고 있으나 주민들이 직접 이를 이용하도록 되어 있지는 않다. 즉, 커뮤니티의 참여와 관련되어 쓰이고 있지는 않다. 세 번째는, 커뮤니티와 공원과의 관계로 공원 설계와 관리에 있어서 영국에서는 커뮤니티가 직접 고객(client)으로서 역할을 하고 있었다. 한국에서도 계획 및 설계 과정에 주민을 참여시키는 경우가 있으나 의견청취 정도에 머물고 있고, 몇몇 시민단체를 중심으로 시민들이 직접 공원 관리에 참여하는 경우도 있으나 운동(movement)차원에 머물고 있을 뿐 이를 위한 제도적, 법적 토대가 구축되어 있지는 않다.

The Community Structure of Plant at the Edge of the Oncheon River in Busan (부산광역시 온천변 식물상의 군집구조에 관한 연구)

  • Moon, Sung-Gi;Huh, Man-Kyu
    • Journal of Life Science
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    • v.18 no.7
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    • pp.924-930
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    • 2008
  • Community structure refers to the number of species in a community and the pattern of distribution of individuals among those species. The purpose of this paper was to describe a statistical analysis for detecting a ecological biodiversity which is valid even though the assumption at the different sampling points is not violated spatial randomness of species. Counts and cover were determined from 10 ($20\;m{\times}20\;m$) plots in five sites of the Oncheon River which is located in Busan, Korea. Total 95 taxa (85 species, 9 varieties, and one form) were identified and measured in edge sides of this river. These were a total of present in the five sites. Overall across the fragments, mean number of species per plot differed significantly among the five sites (F=7.75, p<0.01). Shannon-Wiener functions differed significantly among plots (F=4.12, p<0.05), with the St. 1 having significantly higher value (2.380) than the others (2.206 for St. 2, 2.116 for St. 3, 2.069 for St. 4, and 0.637 for St. 5). The richness indices, R1 decreased from the upper stream of the Oncheon River to the lower stream. We used a novel way of representing community structure to show that abundance within closely related pairs of co-occurring species in the Oncheon River. The differences between the distributions for of congeners and pairs of non-congeners showed at the largest difference of the cumulative fractions of the data sets (x=0.85).

A Survey on the Critical Success Factors of Knowledge Management Using AHP (AHP 분석을 이용한 지식경영 실천 요소의 중요도에 관한 실증적 연구)

  • 이영수;박준아;정광식;김진우
    • Proceedings of the Korea Database Society Conference
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    • 1999.06a
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    • pp.85-94
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    • 1999
  • 지식경영을 효과적으로 수행하기 위해서 기업은 지식경영을 구성하고 있는 요소를 정확히 이해할 필요가 있고, 이러한 중요 요소에 따라 투자가 이루어져야 한다. 본 연구는 지식경영의 중요 요소들을 제시함으로써, 앞으로 지식경영을 계획하고 있는 기업이 효과적으로 지식경영을 추진할 수 있는 활동 지침 및 투자 방향을 제시하고자 한다. 이를 위해, 본 연구에서는 각종 국내외 지식경영 관련 문헌에서 논의된 사항을 중심으로, 지식경영을 구성하는 30개의 중요요소를 추출하고, 분석계층도(AHP)를 이용하여 지식경영을 달성하기 위한 요소들을 위계적 구조로 정리하고, 최종단계에서 238개의 지식경영 구현의 평가기준을 마련하였다. 또한 실제로 지식경영 구현 요소들의 상대적 중요성을 파악하기 위해, 먼저 국내에서 지식경영을 추진하고 있거나 관심을 보이고 있는 48개 기업의 담당자 및 관련 부서원을 대상으로 설문조사를 실시하였고, 동시에 지식경영을 실제로 수행하고 있는 13개 기업의 담당자를 대상으로 각 기업에서 추진하고 있는 지식경영의 현황 파악을 위해 지식경영 실천의 평가기준에 대한 설문을 실시하였다. 이 두 가지 설문 조사 결과를 종합해 볼 때, 기업에서는 지식경영 구현 요소 중에서 인프라 내의 프로세스와 프로세스를 구성하는 지식의 활용과 전파 등이 중요하다고 인식하고 있는 반면, 실제로는 인프라 내의 정보기술과 프로세스를 구성하는 다른 한 축인 지식의 창출과 축적 면에 투자가 이루어진 것으로 나타났다. 이 외에도 지식화, 성과와 가치의 연계 그리고 지식의 가시화 등의 요소들은 상대적 중요도 인식과는 반대로 지식경영 추진에 있어 외면당하고 있는 것으로 나타났다. 따라서 본 연구는 지식 경영의 이러한 불균형을 시정할 수 있는 방향으로 앞으로의 투자가 수행되어야 할 것을 제안하고 있다. 산업의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적 중률을 나타내었다.(ⅱ) managemental and strategical learning to give information necessary to improve the making. program and policy decision making, The objectives of the study are to develop the methodology of modeling the socioeconomic evaluation, and build up the practical socioeconomic evaluation model of the HAN projects including scientific and technological effects. Since the HAN projects consists of 18 subprograms, it is difficult In evaluate all the subprograms

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