• Title/Summary/Keyword: Quantitative research

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Quantitative Causal Reasoning in Stock Price Index Prediction Model

  • Kim, Myoung-Joon;Ingoo Han
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1998.10a
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    • pp.228-231
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    • 1998
  • Artificial Intelligence literatures have recognized that stock market is a highly unstructured and complex domain so that it is difficult to find knowledge that belongs to that domain. This paper demonstrates that the proposed QCOM can derive global knowledge about stock market on the basis of a set of local knowledge and express it as a digraph representation. In addition, inference mechanism using quantitative causal reasoning can describe the qualitative and quantitative effects of exogenous variables on stock market.

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Quantitative Aspects of 2D Carbon-13 INADEQUATE Experiment of Organic Molecules (유기화합물의 구조분석에서 2D Carbon-13 INADEQUATE 실험의 정량적 고찰)

  • Lee, Sueg-Geun
    • Analytical Science and Technology
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    • v.13 no.4
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    • pp.539-543
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    • 2000
  • The quantitative aspects of 2D carbon-13 INADEQUATE (Incredible Natural Abundance DoublE QUAntum Transfer Experiment) experiment were studied on the basis of the time needed in various concentrations of samples. In order to evaluate the quantitative time of this experiment, eight compounds were selected (M. W. ca. 150-500). The effect on time needed of various concentrations showed exponential decay function, Y=$8.15X^{-0.64}$.

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Molecular Identification and Real-time Quantitative PCR (qPCR) for Rapid Detection of Thelohanellus kitauei, a Myxozoan Parasite Causing Intestinal Giant Cystic Disease in the Israel Carp

  • Seo, Jung-Soo;Jeon, Eun-Ji;Kim, Moo-Sang;Woo, Sung-Ho;Kim, Jin-Do;Jung, Sung-Hee;Park, Myoung-Ae;Jee, Bo-Young;Kim, Jin-Woo;Kim, Yi-Cheong;Lee, Eun-Hye
    • Parasites, Hosts and Diseases
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    • v.50 no.2
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    • pp.103-111
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    • 2012
  • Intestinal giant-cystic disease (IGCD) of the Israel carp (Cyprinus carpio nudus) has been recognized as one of the most serious diseases afflicting inland farmed fish in the Republic of Korea, and Thelohanellus kitauei has been identified as the causative agent of the disease. Until now, studies concerning IGCD caused by T. kitauei in the Israel carp have been limited to morphological and histopathological examinations. However, these types of diagnostic examinations are relatively time-consuming, and the infection frequently cannot be detected in its early stages. In this study, we cloned the full-length 18S rRNA gene of T. kitauei isolated from diseased Israel carps, and carried out molecular identification by comparing the sequence with those of other myxosporeans. Moreover, conventional PCR and real-time quantitative PCR (qPCR) using oligonucleotide primers for the amplification of 18S rRNA gene fragment were established for further use as methods for rapid diagnosis of IGCD. Our results demonstrated that both the conventional PCR and real-time quantitative PCR systems applied herein are effective for rapid detection of T. kitauei spores in fish tissues and environmental water.

A Study on Faculty Perception of Research Performance Evaluation (연구업적 평가에 관한 대학 교수 인식 연구)

  • Yong Hwan, Kim;Ji Hei, Kang;Jongwook, Lee;Younghee, Noh
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.309-333
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    • 2022
  • A survey was conducted to analyze the perceptions related to research performance evaluation from 2,618 professors. The survey is to find out the perception about two parts. One is a survey of professors' perceptions about the faculty performance evaluation, which is currently being conducted at each university. The other is that we analyzed the perception of the introduction of qualitative performance evaluation indicators, an alternative to the quantitative performance evaluation. As a result, we confirmed followings. Quantitative research performance evaluation is carried out in most universities. Research performance evaluation is not appropriate for a department or research field. And an extension of the evaluation period is required. Quantitative evaluation have a negative impact on the academic community. Quantitative evaluation needs to be improved. As regard to the introduction of the qualitative evaluation, we confirmed that professors perceived that qualitative evaluation is necessary to evaluate research performance, and they also have negative opinions about introduction of qualitative evaluation.

A Study on Measurements of IT Security Service Quality : Feasibility of Quantitative Measures (IT 보안 서비스 품질의 측정 방법에 관한 연구 : 정량 지표의 사용 가능성)

  • Kyung, Ji Hoon;Kim, Chong Su
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.4
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    • pp.30-38
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    • 2015
  • IT security service provides customers with the capability of protecting the networked information asset and infrastructures, and the scope of security service is expanding from a technology-intensive task to a comprehensive protection system for IT environment. To improve the quality of this service, a research model which help assess the quality is required. Several research models have been proposed and used in various service areas, but few cases are found for IT security service. In this work, a research model for the IT security quality has been proposed, based on research models such as SERVQUAL and E-S-QUAL. With the proposed model, factors which affect the service quality and the best quality measure have been identified. And the feasibility of using quantitative measures for quality has been examined. For analysis, structural equation modeling and various statistical methods such as principal component analysis were used. The result shows that satisfaction is the most significant measure affected by the proposed quality factors. Two quality factors, fulfillment and empathy, are the main determinants of the service quality. This leads to a strategy of quality improvement based on factors of emotion and perception, not of technology. The quantitative measures are considered as promising alternative measures, when combined with other measures. In order to design reliable quantitative measures, more work should be done on target processing time and users' expectation. It is hoped that work of this research will provide efficient tools and methods to improve the quality of IT security service and help future research works for other IT service areas.

Priority for Developing Emission Factors and Quantitative Assessment in the Forestry Sector (산림부문의 국가온실가스 배출·흡수계수 개발 필요 우선순위 및 정량평가 방법론)

  • Han, Seung Hyun;Lee, Sun Jeoung;Chang, Hanna;Kim, Seongjun;Kim, Raehyun;Jeon, Eui-Chan;Son, Yowhan
    • Journal of Climate Change Research
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    • v.8 no.3
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    • pp.239-245
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    • 2017
  • This study aimed to suggest priority for developing emission factor (EF) and to develop the methodology of quantitative assessment of EF in the forestry sector. Based on the stock-difference method, 17 kinds of EFs (27 EFs based on forest types) were required to calculate the carbon emission in the forestry sector. Priority for developing EFs followed the standards, which is a development plan by the government agency, importance of carbon stock for greenhouse gas, and EFs by the species. Currently, the most urgent development of EFs was carbon fraction in biomass and carbon stock in dead wood. Meanwhile, the quantitative assessment of EF consisted of 7 categories (5 categories of compulsory and 2 categories of quality evaluation) and 12 verification factors. Category in compulsory verification consisted of administrative document, determination methodology of emission factors, emission characteristic, accuracy of measurement and analysis, and data representative. Category in quality evaluation consisted of data management and uncertainty estimates. Based on the importance of factors in the verification process, each factor was scored separately, however, the score needs to be coordinated by the government agency. These results would help build a reliable and accurate greenhouse gas inventory report of Korea.

Gametogenic Cycle by Quantitative Statistical Analysis and the Biological Minimum Size in Protothaca (Notochione) jedoensis (Bivalvia: Veneridae) in Western Korea

  • Park, Kwan-Ha;Chung, Ee-Yung;Lee, Chang-Hoon;Kim, Sung-Han;Kim, Sung-Yeon;Seo, Won-Jae;Ryu, Dong-Ki
    • The Korean Journal of Malacology
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    • v.27 no.3
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    • pp.261-271
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    • 2011
  • The gametogenic cycle, the spawning season and the biological minimum sizes in female and male Protothaca (Notochione) jedoensis were investigated by quantitative statistical analysis. In females, monthly changes in the percents of the follicle areas to the ovarian tissue areas and the percents of the oocyte areas to the ovarian tissue areas increased in February and reached the maximum in April, and then gradually decreased from May to July, with the spawning peak between June and July. In males, monthly changes in the percents of the testicular tissue areas to total tissue areas and the percents of the spermatogenic stage areas to the testicular tissue areas increased in February and reached the maximum in April, and then showed a rapid decrease from May to July. From these data, it is apparent that the number of spawning seasons in female and male P. (N.) jedoensis occurred once a year, from May to July. Therefore, P. (N.) jedoensis in both sexes showed a unimodal gametogenic cycle during the year. Compared the gametogenic cycle by quantitative statistical analysis in 2007 with the previous qualitative results of this species, the results of the gametogenic cycle calculated by quantitative statistical analysis showed some differentiations in the spawning seasons evaluated by the gonad index by qualitative histological analysis. The intervals of the beginning of two spawning seasons showed one month between the results of quantitative and qualitative analyses. The biological minimum sizes (considering to 50% of group sexual maturity) in female and male clams by quantitative analysis of this species are 32.01 mm in shell length in females and 30.58 mm in males, respectively. According to the mean shell length fitted to von Bertalanffy's equation, 30.58 and 32.01 mm in shell length were considered to be two years old. Therefore, we assume that both sexes of this population begin reproduction from two years of age.

Pattern Classification and Characteristics Concerning Landscape on Mountains and Hills by Using a Landscape Picture -The Case of Seoul City- (진경산수화 분석을 통한 산지 구릉 경관 유형의 분류 및 해석 -서울시를 중심으로-)

  • 강명수
    • Journal of the Korean Institute of Landscape Architecture
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    • v.29 no.4
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    • pp.12-23
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    • 2001
  • The research focused on the landscape of mountains and hills drawn in a landscape picture. The purpose of the research is to classify patterns of landscape drawning in landscape pictures and to clarify the characteristics of the pattern by a quantitative index. We selected 21 landscape pictures to understand the Landscape Setting Here(LSH) and Landscape Setting These(LST). We investigated size quantitative indices using 1 landscape picture. The index is a follow: altitude, Visual Distance, Angles, Angle of Appearance Size, Inclination, and Angle of Incidence. The following results were obtained by using this data. 1) It has been understood that we offer an important city view because the LSH of this research can establish understanding of the city structure. 2) We dividing 3 patterns by the LST space drawn in the landscape picture. 3 patterns are Ferry point, Beauty point, an Signal-fire point. 3) We clarified the landscape characteristics of each pattern and the characteristics between patterns by using the index according to this pattern. 4) We understood the problem concerning the Seoul city landscape examining the pattern of this research with the ordinance of Seoul city. It is necessary to standardized a system of pattern classification utilized in landscape pictures to establish a universally interpreted detailed quantitative index, which can be applied to research.

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Factors Affecting an Application of Environmental Management Accounting: A Case Study of the Automobile Industry in Vietnam

  • TRAN, Ngoc Hung;NGUYEN, Thi Thuy Hanh;NGUYEN, Thi Phuong
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.509-516
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    • 2021
  • This study aims to find out and measure the level of factors affecting the applicability of environmental management accounting (EMA) in Vietnamese automobile industry enterprises. Data was collected using both quantitative and qualitative methods. First, in general research, qualitative methodology was used to find out factors (variables) that can impact the possibility of implementing EMA in Vietnamese automobile enterprises. Second, in detailed research, all variables are measured using a quantitative method by collecting data through sampling and sending questionnaires. 500 questionnaires were sent to automobile enterprise managers and only 352 questionnaires met the criteria for the data analysis. The study used a mixed research design approach- a procedure for collecting, analyzing, and "mixing" both quantitative and qualitative research and methods in a single study to understand the research problem. Results show that 7 factors affect the possibility of implementing EMA in Vietnamese automobile industry enterprises. These factors are coercive pressure, normative pressure, mimetic pressure, business environmental uncertainty, environmental strategy, benefits when applying EMA, and task complexity. Based on the results of the study, promoting EMA in the automotive industry should depend mainly on the role of governmental departments.

Comparison of a Qualitative and a Quantitative Approach to Evaluate the Performance of R&D Projects: A Case Study (연구개발 프로젝트 정성·정량평가 비교 분석을 통한 성과평가 발전방향 연구 : K연구원 사례를 중심으로)

  • Lee, Suchul;Ko, Mihyun
    • Journal of Korea Technology Innovation Society
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    • v.20 no.2
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    • pp.271-291
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    • 2017
  • This study measures and compares the performance of research and development (R&D) programs in government-funded research institutes (GRIs) in terms of qualitative and quantitative approaches to find out strategic insights for improving performance evaluation policy. In particular, we adopt the evaluation results from the real data of K institute in 2015 for a qualitative evaluation and the results of data envelopment analysis (DEA) for a quantitative evaluation. Comparative analysis of the R&D performance of 14 programs finds that the difference between the evaluation results of qualitative and quantitative approaches is significant. From this finding, we suggest several strategic directions to complement two approaches each other.