• The KIPS Transactions:PartD
• /
• v.13D no.4 s.107
• /
• pp.603-612
• /
• 2006

Recently the web service area is rapidly growing as the next generation IT paradigm because of increase of concern about SOA(Services-Oriented Architecture) and growth of B2B market. Since a service discovery through UDDI(Universal Description, Discovery and Integration) is limited to a functional requirement, it is not considered an effect on frequency of service using and reliability of mutual relation. That is, a quality as nonfunctional aspect of web service is regarded as important factor for a success between consumer and provider. Therefore, the web service selection method with considering the quality is necessary. This paper suggests the agent-based quality broker architecture and selection process which helps to find a service providing the optimum quality that the consumer needs in a position of service consumer. A theory of agent is accepted widely and suitable for proposed system architecture in the circumstance of distributed and heterogeneous environment like web service. In this paper, we considered the QoS and CoS in the evaluation process to solve the problem of existing researches related to the web service selection and used PROMETHEE(Preference Ranking Organization MeTHod for Enrichment Evaluations) as an evaluation method which is most suitable for the web service selection among MCDM approaches. PROMETHEE has advantages that solve the problem that a pair-wise comparison should be performed again when comparative services are added or deleted. This paper suggested a case study with the service composition scenario in order to verify the selection process. In this case study, the decision making problem was described on the basis of evaluated values for qualities from a consumer's point of view and the defined service level.

• Korean Journal of Agricultural Science
• /
• v.47 no.3
• /
• pp.667-672
• /
• 2020

It is well known that intensive selection caused a decline in reproductive performance in dairy cattle. Interestingly, the reproductive performances including fertility and calving interval of Korean native beef cattle have declined in the last 20 years, suggesting that a breeding program focusing on carcass weight and intramuscular fat may affect the reproductive physiology in Korean native beef cattle, too. In this study, we analyzed the calving interval (CI) and selection index (SI) based on genome-wide association studies (GWAS) of Hanwoo cows for seven years (2013 - 2019). Multiparous cows (4.5 ± 0.11) were analyzed, which were bred by artificial insemination (AI). We first examined the distribution of the AIs and calving dates. About 40% of the AIs were carried out in May to June and October to December; subsequently, calving was observed from March to April and August to October, respectively, indicating the cows were seasonally bred. No correlation between CI and SI was found (y = 0.0459x - 17.64; R² = 0.0356), but the ratio of cows with a positive SI was higher in the longer CI group compared to the shorter group, suggesting that the selection for meat quality and quantity may affect the reproductive performances. In addition, the average value of SI was - 3.42 in the CI < 400 while + 5.79 in the CI > 400 although the values were not statistically significant. However, our results suggest that reproductive indices such as fertility and CI should be considered for sustainability in the Hanwoo breeding selection program.

• Journal of Advanced Marine Engineering and Technology
• /
• v.22 no.3
• /
• pp.381-395
• /
• 1998

The purpose of this study is to determine the optimal gas turbine system for special purpose ships. First we generate critical evaluation criteria an construct their hierarchical structure. The criteria consist of qualitative ones as well as the economic factor. Then AHP is applied to solve the decision making problem AHP gibes good results different from those only by the economic evaluation methods. And during the analysis, the procedure produces many useful informations to the decision making. The results shows that AHP is an appropriate method for these kinds of problems such as the system selection.

• Journal of Applied Reliability
• /
• v.18 no.2
• /
• pp.161-172
• /
• 2018

Purpose: Test & Evaluation items are main contents which verify performance of the development system and they are deduced going through project management system stages. However, there is no systematic or standardized framework for Test & Evaluation items, so a lot of differences occur between projects and people are questioning whether verification items are selected for the optimization of the development system. In this regard, this research proposes the process of deducing Test & Evaluation items in a systematic way during a development stage by applying QFD (Quality Function Deployment) technique which reflects customers' requirements. Methods: Test & Evaluation items are recognized as customers' requirements, and QFD technique which refines and gathers various requirements of customers effectively during general products' development stage is applied to complete HOQ (House of Quality) Conclusion: There is no specific methodology for Test & Evaluation items, so currently, they are selected by including items which are given by similar projects or higher authorities. However, by utilizing QFD technique, selection of evaluation items which goes through more systematic process is expected to be possible.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.39 no.2
• /
• pp.83-95
• /
• 2014

In this paper, we develop a portfolio selection model that can be used to invest in markets with margin requirements such as the foreign exchange market. An investment algorithm to implement the proposed portfolio selection model based on objective historical data is also presented. We further conduct empirical analysis on the performance of a hypothetical investment in the foreign exchange market, using the proposed portfolio selection model and investment algorithm. Using 7 currency pairs that recorded the highest trading volume in the foreign exchange market during the most recent 10 years, we compare the performance of 1) the Dollar Index, 2) a 1/N Portfolio which equally allocates capital to all N assets considered for investment, and 3) a hypothetical investment portfolio selected and managed according to the portfolio selection model and investment algorithm proposed in this paper. Performance is compared in terms of accumulated returns and Sharpe ratios for the 10-year period from January 2003 to December 2012. The results show that the hypothetical investment portfolio outperforms both benchmarks, with superior performance especially during the period following financial crisis. Overall, this paper suggests that a mathematical approach for selecting and managing an optimal investment portfolio based on objective data can achieve outstanding performance in the foreign exchange market.

• Journal of Animal Science and Technology
• /
• v.65 no.6
• /
• pp.1180-1193
• /
• 2023

Most carcass and meat quality traits are moderate to highly heritable, indicating that they can be improved through selection. Genetic evaluation for these types of traits is performed using performance data obtained from commercial and progeny testing evaluation. The performance data from commercial farms are available in large volume, however, some drawbacks have been observed. The drawback of the commercial data is mainly due to sorting of animals based on live weight prior to slaughter, and this could lead to bias in the genetic evaluation of later measured traits such as carcass traits. The current study has two components to address the drawback of the commercial data. The first component of the study aimed to estimate genetic parameters for carcass and meat quality traits in Korean Hanwoo cattle using a large sample size of industry-based carcass performance records (n = 469,002). The second component of the study aimed to describe the impact of sorting animals into different contemporary groups based on an early measured trait and then examine the effect on the genetic evaluation of subsequently measured traits. To demonstrate our objectives, we used real performance data to estimate genetic parameters and simulated data was used to assess the bias in genetic evaluation. The results of our first study showed that commercial data obtained from slaughterhouses is a potential source of carcass performance data and useful for genetic evaluation of carcass traits to improve beef cattle performance. However, we observed some harvesting effect which leads to bias in genetic evaluation of carcass traits. This is mainly due to the selection of animal based on their body weight before arrival to slaughterhouse. Overall, the non-random allocation of animals into a contemporary group leads to a biased estimated breeding value in genetic evaluation, the severity of which increases when the evaluation traits are highly correlated.

• Journal of Agricultural Extension & Community Development
• /
• v.10 no.1
• /
• pp.43-56
• /
• 2003

Evaluation in both an art and a science. The art of evaluation involves working with the management to agree upon purpose and users of results, creating design and gathering information that are appropriate for a specific situation and a particular policy making context. The value of evaluating extension p개grams has received a lot of attentions recently, and many extension educations see evaluation as an integral part of their work. The science of evaluation involves determining standards and developing indicatiors, selecting methods appropriate to gather information in a systematic way, analyzing information to assist in determining the value of the program in an objective manner. First, extension specialists have to consider relative merits about methods of gathering evaluation data. Selection of method should be influenced by the type of information desired, time availability, and cost of using the method. Second, good evaluations involve stakeholders at all stages including planning, implementation, and utilization of results. Third, far from being an "add-on ," evaluation begins with the initial planning of an educational program. Fourth, it is important for extension specialists that although evaluation is valuable and essential in any effective program, one of the biggest mistakes of extension program evaluators in to promise results that cannot possibly solve all the problems of project.

• The KIPS Transactions:PartD
• /
• v.9D no.5
• /
• pp.887-896
• /
• 2002

Based on SPICE (Software Process Improvement and Capability dEtermination) evaluation model, SPIRE (Software Process Improvement in Regions of Europe) is developed and published as a process improvement model for small and medium size organizations. However, practical selection guidelines or mapping rules between business goals and software processes do not exist within SPIRE. This research aims to construct an objective reference mapping table between business goals and software processes, and to propose a process selection method using the mapping table. The mapping table is constructed by the convergence of domestic software process experts' opinions using Delphi techniques. In the suggested process selection method, target processes are selected using the intuition of project participants or project managers as well as the reference mapping table. The feasibility of the proposed selection method has been reviewed by applying to two small software companies. Using the reference mapping table, we could select key processes which were passed over by project managers.

• Journal of Science Education
• /
• v.37 no.2
• /
• pp.245-260
• /
• 2013

The purpose of the research is to examine the teachers' cognition about the math textbook selecting and to provide the implications about the rational process of the textbook selection and criteria based on the research. In terms of the research result about the inner and outer criteria of the actual process of the textbook selecting, they utilized the standard selection criteria distributed by Office of Education, and they considered 'Organization of learning contents' and 'Learning evaluation' as the most important factors. The selection method was that the answer 'After scoring the grade with matching standards, selecting by adding the total score' was the highest. In case of the actual selection, the most considerable inner criteria appeared 'Learning quantity and propriety of the difficulty level'. The outer criteria showed 'Awareness', and the difficulty in the selection process was 'in sufficient time for reviewing'. Based on this research result, we draw the implication that needs to be improved in the process of the textbook selection and the criteria.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.1
• /
• pp.153-172
• /
• 2022

In this study, the authors intend to analyze factors contributing to research performance using Backpropagation Neural Network and Support Vector Machine. The analyzing factors contributing to lecturer research performance start from defining the features. The next stage is to collect datasets based on defining features. Then transform the raw dataset into data ready to be processed. After the data is transformed, the next stage is the selection of features. Before the selection of features, the target feature is determined, namely research performance. The selection of features consists of Chi-Square selection (U), and Pearson correlation coefficient (CM). The selection of features produces eight factors contributing to lecturer research performance are Scientific Papers (U: 154.38, CM: 0.79), Number of Citation (U: 95.86, CM: 0.70), Conference (U: 68.67, CM: 0.57), Grade (U: 10.13, CM: 0.29), Grant (U: 35.40, CM: 0.36), IPR (U: 19.81, CM: 0.27), Qualification (U: 2.57, CM: 0.26), and Grant Awardee (U: 2.66, CM: 0.26). To analyze the factors, two data mining classifiers were involved, Backpropagation Neural Networks (BPNN) and Support Vector Machine (SVM). Evaluation of the data mining classifier with an accuracy score for BPNN of 95 percent, and SVM of 92 percent. The essence of this analysis is not to find the highest accuracy score, but rather whether the factors can pass the test phase with the expected results. The findings of this study reveal the factors that have a significant impact on research performance and vice versa.