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A Study on the Development of Digital Library Anxiety Scale (디지털도서관 불안척도 개발에 관한 연구)

  • Park, Joo-Bum;Jeong, Dong-Youl
    • Journal of the Korean Society for Library and Information Science
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    • v.44 no.4
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    • pp.353-371
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    • 2010
  • Library anxiety has been recognized as one of the representative fields that concerns user's affectivity in library and information study. Considerable library users have been discovered to experience library anxiety according to researches. Although digital libraries are becoming more popular changing drastically from traditional libraries, few studies have addressed the measurement of digital library anxiety(DLA). The purpose of this study is to develop and validate a multidimensional digital library anxiety scale(DLAS) based on previous research in library anxiety and digital libraries. It will become possible to define the construct of DLAS, provide its underlying dimensionalities, and find out how much they explain the construct. Through the exploratory factor analysis, DLAS has been developed with 39 items representing seven distinct factors which were interpreted as affect, resources, know-how, security, language, technology, and task explaining 51.165% of DLA. Also, DLAS' characteristics about demographic variables and use pattern were found through the T-test and ANOVA analysis for each factor.

Improvement of the Environmental Conservation Value Assessment Map (ECVAM) by Complement of the Vegetation Community Stability Item (식생 군집구조 안정성 평가항목 보완을 통한 국토환경성평가지도 개선방안 연구)

  • Jeon, Seong-Woo;Song, Won-Kyong;Lee, Moung-Jin;Kang, Byung-Jin
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.13 no.2
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    • pp.114-123
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    • 2010
  • The Environmental Conservation Value Assessment Map (ECVAM) is a five grade assessment map created with nationally integrated environmental information and environmental values. The map is made through the evaluation of 67 items, including greenbelt area and bio-diversity. The ECVAM assesses the stability of the community using forest maps. However, the existing assessment method is problematic because the assessment grades are evaluated using higher than practical values; in part because it uses even-valued overlay and minimal indicator methods. This study was performed in order to suggest an integrated assessment method that could complement the stability evaluation based on existing methods. Accordingly, this study added forest type information, including whether the forest was natural or artificial, to the overlay method using forest diameter maps and forest density maps. As a result, the proposed ECVAM indicated a drastic grade change. After applying the method in South Korea, Grade I areas decreased 12.1%, from 52.6% to 40.6%, Grade II areas increased 11.9%, from 17.4% to 29.2%, and Grade III areas increased 0.2%, from 17.1% to 17.4%, respectively. From the results of the field survey, we found differences between natural forest and planted forest with regard to the number of mortality, species of shrubs, and vine cover. This means that natural forests are more stable than planted forests. This study suggests an improved assessment methodology to complement the existing EVCAM method. The results are expected to be used in environmental evaluations and forest conservation value assessments in ecology and environmental fields.

A study on stock price prediction through analysis of sales growth performance and macro-indicators using artificial intelligence (인공지능을 이용하여 매출성장성과 거시지표 분석을 통한 주가 예측 연구)

  • Hong, Sunghyuck
    • Journal of Convergence for Information Technology
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    • v.11 no.1
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    • pp.28-33
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    • 2021
  • Since the stock price is a measure of the future value of the company, when analyzing the stock price, the company's growth potential, such as sales and profits, is considered and invested in stocks. In order to set the criteria for selecting stocks, institutional investors look at current industry trends and macroeconomic indicators, first select relevant fields that can grow, then select related companies, analyze them, set a target price, then buy, and sell when the target price is reached. Stock trading is carried out in the same way. However, general individual investors do not have any knowledge of investment, and invest in items recommended by experts or acquaintances without analysis of financial statements or growth potential of the company, which is lower in terms of return than institutional investors and foreign investors. Therefore, in this study, we propose a research method to select undervalued stocks by analyzing ROE, an indicator that considers the growth potential of a company, such as sales and profits, and predict the stock price flow of the selected stock through deep learning algorithms. This study is conducted to help with investment.

A Study on Deep Learning Optimization by Land Cover Classification Item Using Satellite Imagery (위성영상을 활용한 토지피복 분류 항목별 딥러닝 최적화 연구)

  • Lee, Seong-Hyeok;Lee, Moung-jin
    • Korean Journal of Remote Sensing
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    • v.36 no.6_2
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    • pp.1591-1604
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    • 2020
  • This study is a study on classifying land cover by applying high-resolution satellite images to deep learning algorithms and verifying the performance of algorithms for each spatial object. For this, the Fully Convolutional Network-based algorithm was selected, and a dataset was constructed using Kompasat-3 satellite images, land cover maps, and forest maps. By applying the constructed data set to the algorithm, each optimal hyperparameter was calculated. Final classification was performed after hyperparameter optimization, and the overall accuracy of DeeplabV3+ was calculated the highest at 81.7%. However, when looking at the accuracy of each category, SegNet showed the best performance in roads and buildings, and U-Net showed the highest accuracy in hardwood trees and discussion items. In the case of Deeplab V3+, it performed better than the other two models in fields, facility cultivation, and grassland. Through the results, the limitations of applying one algorithm for land cover classification were confirmed, and if an appropriate algorithm for each spatial object is applied in the future, it is expected that high quality land cover classification results can be produced.

The Improvements of the Pharmacy Field in the 6th Edition of the Korean Decimal Classification (KDC 제6판 약학 분야의 분류항목 전개 개선방안)

  • Chung, Ok Kyung;Lee, Jangik;Choi, Jung Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.4
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    • pp.281-299
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    • 2013
  • The purpose of this study is to suggest improvements of pharmacy field in the KDC 6th edition. To achieve this purpose, first, this study reviewed academic area and system of pharmacy. Second, we analyzed headings of pharmacy field from first edition to 6th edition. Third, we analyzed change process of classification items in pharmacy field. Forth, we investigated general problems concerning pharmacy field in the KDC 6th edition based on the comparative analysis with DDC, NLMC, and Research Field Code by Korean Research Foundation. As a result, pharmacy field of KDC has never changed since its 4th edition. And then, this study was added new subjects related to sections and subsections of pharmacy and suggested modern terminology. Also newly assigned pharmaceutics industry, cancer treatment and biological pharmaceutics fields under 518.7-.8 which do not use in pharmacy field for efficient classification.

Research on application of the Variations of Internationally circulated Standard Korean Language Curriculum (국제 통용 한국어 표준 교육과정 변이형 적용 연구 -해외 중등학교의 제2외국어로서 한국어를 중심으로-)

  • Park, Jin-Uk;Lee, Su-Mi;Jang, Mi-Jeong
    • Journal of Korean language education
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    • v.29 no.1
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    • pp.25-52
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    • 2018
  • This study purposed to discuss and suggest how to apply the internationally circulated standard Korean language curriculum to the fields of education. For this purpose, principles of the curriculum development that use reference of criterions like setting the education goals and stages of the Korean as second foreign language at the Korean foreign secondary school with the cases were reviewed. Studies about the curriculums of Korean language as an unit of state were began at 2010 and being continued in 2017. These researches pointed out a standard of the Korean language education, which influenced the development of curriculums, evaluations, and textbooks. Korean language teachers need lots of informations how to adjust the curriculums because they recognize that the curriculum as a reference of criteria is very difficult to be utilized. Roles of the reference of criteria that were extracted from the review on the curriculum development of the Korean as a second foreign language are providing a content basis for setting the goals of the curriculum and setting the stages connected with the operation of semesters. After the macroscopic development, plans for the phase of a syllabus run along. At this stage, sources of the items of education should be offered and elaboration of the education contents may design the syllabus. Finally, through a series of process, programs for Korean language education and textbook will be completed. Through this whole process, standard curriculum provides orientation and guidelines for the process of the development.

Cloud-based anthropometric data monitoring system (클라우드 기반 인체측정 데이터 모니터링 시스템)

  • Jeon, Sungwoo;Han, Hyedong;Kim, Jeongeun;Jung, Heokyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.9
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    • pp.1209-1214
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    • 2020
  • With the recent aging age, people's interest in healthy life is increasing. People are causing adult diseases or an increasing number of obese populations due to poor lifestyles, eating habits, and poor physical activity. Accordingly, skin beauty research is being conducted using medical information in the information and communication field. Existing systems have not been able to provide smooth information because they are not expressed in combination with various related measurement items. The system proposed in this paper scans the user's body shape using a 3D scanner and a skin care device, calculates the BMI (Body Mass Index) index using 3D image data, and allows you to view the collected data at a glance. Provide a service system. This will provide the user with the content managed by comparing and providing the continuous body change data. It is expected to be widely used in various U-health and beauty fields.

Consideration of CTS using Efficient Buffer Insertion for SoC in Multiple Clock Domain (다중 클록 영역의 SoC를 위한 효율적인 버퍼삽입 방식의 CTS에 대한 고려)

  • Seo, Yong-Ho;Choi, Eui-Sun;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.4
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    • pp.643-653
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    • 2012
  • In this paper, we consider a clock tree synthesis technique (CTS) based on buffer insertion method in the multiple clock domain. We propose some detail techniques about the preparing items and the practical method for implementing CTS. We also propose a post processing after CTS implementation. Until now, the buffer insertion-based CTS technique has been widely used, and this paper discusses especially it's practical technique to be applied in the commercial fields to develop ASIC and SoC. CTS is very dependent on the used tool. We use Astro of Synopsys and propose the empirical and theoretical information of the detail techniques for implementing CTS using this tool. We expect that the proposed technique becomes to be good guidelines to backend designers.

Development and Adaption of Sustainablility Evaluation Indicators for Chungcheongbuk-Do Province - Adopting Quantitative & Qualitive Indicators - (충청북도 지속가능성 평가지표의 개발 및 적용 - 정량적 정성적 지표의 도입 -)

  • Moon, Seok-ki;Yu, Byong-Deuk
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.19 no.1
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    • pp.85-100
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    • 2016
  • Local Agenda 21 organizations have been founded at the most divisions of local government in Chungcheongbuk-Do, but there has been no methods to monitor the total Sustainable Development trends. For the alternative solution of that problem in the Province, this study purposed (1) to develop Indicators fit to this Province (2) to examine the availability of the developed indicators adopting to each division section. Indicators were developed and examined by fields and Quantity / Quality considerations. As a 1st step, committee-composed with field professionals each-selected and developed Quantitative Sustainable Development Indicators(SDIs) optimized to Chungbuk-Province through critical discussions proposing Qualitative Indicators as a suggestion. In 2nd step, developed Indicators were applied and tested upon each divisions. Statistic data were used to calculate indices. 3rd step is adoption stage of Qualitative Indicators which were tested with questionnaire survey analysis. As a results, SDIs for Chungcheongbuk-Do -38 Quantitative SDIs within 4 provisions of 11 items with 8 Qualitative indicators categorization be put off- is developed. With the application test, 5 Quantitative Indicators- were found to be not adaptable because of lack or none of statistic data. Among the 8 Qualitative Indicators, 3 pairs found to be similar results in each pair which needed to be integrated into one. With them, bio-species related and health related Indicators were proposed to be newly added. Nation wide Sustainability comparison between divisions and Ecological Indicator selection are another themes to be considered.

Determination of the Resetting Time to the Process Mean Shift by the Loss Function (손실함수를 적용한 공정평균 이동에 대한 조정시기 결정)

  • Lee, Do-Kyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.1
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    • pp.165-172
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    • 2017
  • Machines are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. Under the process mean shift, production cost, failure cost and quality loss function cost are increasing continuously. Therefore a periodic preventive resetting the process is necessary. We suppose that the wear level is observable. In this case, process mean shift problem has similar characteristics to the maintenance policy model. In the previous studies, process mean shift problem has been studied in several fields such as 'Tool wear limit', 'Canning Process' and 'Quality Loss Function' separately or partially integrated form. This paper proposes an integrated cost model which involves production cost by the material, failure cost by the nonconforming items, quality loss function cost by the deviation between the quality characteristics from the target value and resetting the process cost. We expand this process mean shift problem a little more by dealing the process variance as a function, not a constant value. We suggested a multiplier function model to the process variance according to the analysis result with practical data. We adopted two-side specification to our model. The initial process mean is generally set somewhat above the lower specification. The objective function is total integrated costs per unit wear and independent variables are wear limit and initial setting process mean. The optimum is derived from numerical analysis because the integral form of the objective function is not possible. A numerical example is presented.