• Title/Summary/Keyword: Public Technology Selection

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A New Model Improving the Current Curriculum of Radiologic Technology Department in Junior College (전문대학(專門大學) 방사선과(放射線科) 교육과정(敎育課程)의 수정개발(修正開發) 연구(硏究))

  • Lee, Man-Koo;Choi, Jong-Hak
    • Journal of radiological science and technology
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    • v.11 no.1
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    • pp.43-62
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    • 1988
  • The purpose of this study is to analyze the problems of the Current Curriculum of Radiologic Technology Department in Junior College, try to find a future solution of the education of Radiologic Technology and a reform measure, and suggest a new substantial model. So this study refered to sundary records, posed a question by papers, made a reform measure of curriculum on the basis of the results, examined it throughly by discussion with the related professors and the industrials figures, and decided a new model. The characteristics of the reform measure reflected in the new model are as follows; 1. It increased the numbers of credits like 94 or 95 ones, to positively accept a developing medical technique and modern science. 2. It set up various general studies and offered a free selection. 3. It closely related majors and their credits to the national examination of lisence and the task of industrial job site. 4. It kept the balance between the periods of lecture, practice, training and their credits. 5, It reinforced the subjects of fundamental medical science such as Introduction to Medicine, Pathology, Biochemistry, Patient Care, etc. 6. It newly established Clinical Trainings as a regular education course. 7. It newly established Introduction to Computer Science, Ultrasonography and Magenetic Resonance Imaging, to cope with the development of the future medical technique. 8. It newly established Humanism in Medicine as a regular education course. 9. It changed the names of subjects resonably.

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Strategies for Selecting Initial Item Lists in Collaborative Filtering Recommender Systems

  • Lee, Hong-Joo;Kim, Jong-Woo;Park, Sung-Joo
    • Management Science and Financial Engineering
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    • v.11 no.3
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    • pp.137-153
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    • 2005
  • Collaborative filtering-based recommendation systems make personalized recommendations based on users' ratings on products. Recommender systems must collect sufficient rating information from users to provide relevant recommendations because less user rating information results in poorer performance of recommender systems. To learn about new users, recommendation systems must first present users with an initial item list. In this study, we designed and analyzed seven selection strategies including the popularity, favorite, clustering, genre, and entropy methods. We investigated how these strategies performed using MovieLens, a public dataset. While the favorite and popularity methods tended to produce the highest average score and greatest average number of ratings, respectively, a hybrid of both favorite and popularity methods or a hybrid of demographic, favorite, and popularity methods also performed within acceptable ranges for both rating scores and numbers of ratings.

Joint Hierarchical Semantic Clipping and Sentence Extraction for Document Summarization

  • Yan, Wanying;Guo, Junjun
    • Journal of Information Processing Systems
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    • v.16 no.4
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    • pp.820-831
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    • 2020
  • Extractive document summarization aims to select a few sentences while preserving its main information on a given document, but the current extractive methods do not consider the sentence-information repeat problem especially for news document summarization. In view of the importance and redundancy of news text information, in this paper, we propose a neural extractive summarization approach with joint sentence semantic clipping and selection, which can effectively solve the problem of news text summary sentence repetition. Specifically, a hierarchical selective encoding network is constructed for both sentence-level and document-level document representations, and data containing important information is extracted on news text; a sentence extractor strategy is then adopted for joint scoring and redundant information clipping. This way, our model strikes a balance between important information extraction and redundant information filtering. Experimental results on both CNN/Daily Mail dataset and Court Public Opinion News dataset we built are presented to show the effectiveness of our proposed approach in terms of ROUGE metrics, especially for redundant information filtering.

Site Selection of Ulsan Industrial Technology Research Park Using Stepwise Procedures (단계적 절차를 이용한 산업기술연구단지 최적입지 결정 - 울산산업기술연구단지를 중심으로 -)

  • 김복만;최성운
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.49
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    • pp.99-113
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    • 1999
  • This paper describes a study which was undertaken in Ulsan City. It attempted to develop stepwise procedures that would aid Ulsan City in making decision of primary importance: what is the optimal site location for establishing a new Industrial Technology Research Park for public development\ulcorner The presented modeling procedures are an adaption of a number of exiting methods for the evaluation of industrial site potential. The procedures to determine the best site location can be divided into three phases : (i)defining the information necessary to compare potential sites, (ii) collecting the information for each site and (iii)evaluation potential sites utilizing the location model.

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An Exploratory Study of VR Technology using Patents and News Articles (특허와 뉴스 기사를 이용한 가상현실 기술에 관한 탐색적 연구)

  • Kim, Sungbum
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.185-199
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    • 2018
  • The purpose of this study is to derive the core technologies of VR using patent analysis and to explore the direction of social and public interest in VR using news analysis. In Study 1, we derived keywords using the frequency of words in patent texts, and we compared by company, year, and technical classification. Netminer, a network analysis program, was used to analyze the IPC codes of patents. In Study 2, we analyzed news articles using T-LAB program. TF-IDF was used as a keyword selection method and chi-square and association index algorithms were used to extract the words most relevant to VR. Through this study, we confirmed that VR is a fusion technology including optics, head mounted display (HMD), data analysis, electric and electronic technology, and found that optical technology is the central technology among the technologies currently being developed. In addition, through news articles, we found that the society and the public are interested in the formation and growth of VR suppliers and markets, and VR should be developed on the basis of user experience.

A Review on Development of Nationwide Map of Scientific Features for Geological Disposal in Japan (일본의 과학적 특성 지도 개발에 대한 고찰)

  • Lee, Jeong-Hwan;Lee, Sang-Jin;Kim, Hyeongjin
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.17 no.4
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    • pp.447-457
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    • 2019
  • Japan enacted the "Designated Radioactive Waste Final Disposal Act" for the geological disposal of high-level radioactive waste in 2000 and began the site selection process. However, no local government wanted to participate in the siting process. Therefore, in 2015, the Japanese government developed a new site selection process during the literature survey step, and on June 28, 2017 they published a "Nationwide Map of Scientific Features for Geological Disposal" created with the aim of promoting public participation from local governments. This map illustrated the requirements and criteria to be considered in the early or conceptual stages of securing a geological repository and was useful for improving public understanding and exchanging opinions with local governments by analyzing the suitability of different geological disposal sites.

Location Analysis for Relocation of Gyeongsangbuk-do Agricultural Research & Extension Services (경상북도 농업기술원 이전을 위한 입지여건 분석)

  • Kim, Won-Jeong;Kwon, O-Sung;Jang, Kyung-Su;Yeo, Jun-Ho
    • Current Research on Agriculture and Life Sciences
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    • v.33 no.1
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    • pp.19-24
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    • 2015
  • Due to various environmental changes, the current location of the Gyeongsangbuk-do Agricultural Research & Extension Services needs to be changed to provide an appropriate environment and ecosystem for agricultural research and the efficient provision of public services. Accordingly, this study proposes a standard for selecting the new location. First, the location theory for the transfer of public facilities is investigated, and candidate filtration methods considered for the location selection. The candidate filtration methods include a component inspection, branch shape analysis, and mixed analysis. This study uses a component inspection, where the component criteria include the economic feasibility and ease of development, accessibility and convenience, agricultural conditions, soil conditions, connectivity, fairness, and human resource-richness of the region.

Determinant Factors of Rice Farmers' Selection of Adaptation Methods to Climate Change in Eastern Rwanda (동부 르완다 쌀 농업인의 기후변화에 대한 적응 방법 결정 요인)

  • Butera, Tonny;Kim, Tae-Kyun;Choi, Se-Hyun
    • Korean Journal of Organic Agriculture
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    • v.30 no.2
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    • pp.241-253
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    • 2022
  • The negative impact of climate change on the agricultural sector is rapidly increasing, and it is urgent to prepare policies at the government level to mitigate it. In the case of Rwanda's agricultural sector, which lacks the government's budget and farmers' capital, efficient and effective policy implementation is of paramount importance. To this end, rather than establishing related policies in the public sector from the top down, it is necessary to establish a bottom-up customized policy that is reflected in policy establishment by identifying the characteristics and behaviors of farmers who actually participate in adaptation activities. In this study, the effects of farmers' characteristics and farmers' perception status/adaptation status to climate change on the selection of adaptation methods for climate change were analyzed. 357 rice farmers randomly selected from Eastern Rwanda were surveyed to explore the information related to farmers' perception to climate change and adaptation methods as well as basic information of the farm. Research shows that the probability of selecting a variety of adaptation methods rather than not responding to climate change increases the younger the age, the higher the education level, and the easier access to climate information and credit. As a policy proposals, it is judged that public support such as strengthening agricultural technology support services, including more detailed guidance for elderly and low-educated farmers, and improving access to farm loan services by agricultural financial institutions is needed. In addition, it is necessary to adjust the planting time and cultivation method, provide timely information related to climate change, and provide crop variety improvement services to farmers.

Analyzing the effectiveness of public R&D subsidies on private R&D expenditure (정부보조금의 민간연구개발투자에 대한 효과분석)

  • Kim, Ho;Kim, Byung Keun
    • Journal of Korea Technology Innovation Society
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    • v.15 no.3
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    • pp.649-674
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    • 2012
  • The purpose of this study is to investigate the effects of public R&D subsidies on private R&D. We have analyzed rationales for the public R&D subsidy from different perspectives. On the basis of literature review, a two step research model is constructed: participation phase (when firms benefit from public subsidies) and decision phase (when firms make decision on additional R&D investments). Using propensity score matching(PSM) method, we compare the potential outcome of the treated group to a matched controlled group of non-subsidized firms. The data used in this paper was collected from various sources. The Korean Innovation Survey 2008(manufacturing sector) is a main source of data. Financial data such as revenue, asset and capital stock, and number of employees were supplemented from the Nice Information Service KIS Value database. The R&D survey, conducted by MEST(Ministry of Education, Science and Technology) each year, was also used for the R&D expenditures of the manufacturing firms. This study comes up with the following empirical results. First, a firm's innovation capability, financial constraints, and sector appear to influence the selection of firms who were benefited from government's financial supports for R&D. Second, empirical results show that public R&D funding complements private investment on average and appear to have perpetual effects on the following year. Finally, sectoral difference in the effect of public subsidies on firms' R&D investment was confirmed. In addition, SMEs show more positive effects than large firms.

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A Grey MCDM Based on DEMATEL Model for Real Estate Evaluation and Selection Problems: A Numerical Example

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;NGUYEN, Thanh-Tam;NGUYEN, Thi-Giang;VU, Dang-Duong
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.549-556
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    • 2020
  • Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.