• 한국멀티미디어학회논문지
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• 제22권2호
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• pp.203-209
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• 2019

The performance of an intelligent classifier for detecting malwares added to multimedia contents based on machine learning is highly dependent on the properties of feature set. Especially, in order to determine the malicious code in real time the size of feature set should be as short as possible without reducing the accuracy. In this paper, we introduce an optimal feature selection method to satisfy both high detection rate and the minimum length of feature set against the feature set provided by PEFeatureExtractor well known as a feature extraction tool. For the evaluation of the proposed method, we perform the experiments using Windows Portable Executables 32bits.

• ETRI Journal
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• 제33권2호
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• pp.210-218
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• 2011

Battiti's mutual information feature selector (MIFS) and its variant algorithms are used for many classification applications. Since they ignore feature synergy, MIFS and its variants may cause a big bias when features are combined to cooperate together. Besides, MIFS and its variants estimate feature redundancy regardless of the corresponding classification task. In this paper, we propose an automated greedy feature selection algorithm called conditional mutual information-based feature selection (CMIFS). Based on the link between interaction information and conditional mutual information, CMIFS takes account of both redundancy and synergy interactions of features and identifies discriminative features. In addition, CMIFS combines feature redundancy evaluation with classification tasks. It can decrease the probability of mistaking important features as redundant features in searching process. The experimental results show that CMIFS can achieve higher best-classification-accuracy than MIFS and its variants, with the same or less (nearly 50%) number of features.

• 한국문헌정보학회지
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• 제45권1호
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• pp.51-73
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• 2011

이 연구는 학교도서관 평가체제의 개선방안을 제시하기 위한 목적으로 수행되었다. 이를 위해 학교도서관의 경영개선이라는 평가의 본질적 측면과 도서관정보정책위원회의 학교도서관 평가체제 분석과정에서 제기된 문제를 바탕으로 평가체제 개선을 위한 주요 쟁점을 도출하였다. 도출된 쟁점은 평가주관기관, 평가목적, 평가대상 선정, 평가주기, 평가시스템, 평가결과의 활용방안이다. 이 쟁점들에 대해서 설문조사와 전문가 자문을 통해 효과적인 대안을 선정하였고, 그 결과를 종합하여 '시 도교육청 자체평가 모형'을 학교도서관 평가체제 개선안으로 제시하였다. 제안된 평가체제는 학교도서관 평가에 대한 시 도교육청의 자율성과 책무성을 강화하도록 하였으며, 평가결과가 학교도서관에 대한 구체적인 행 재정적 조치와 연계되도록 활용방안을 제시하였다.

• East Asian mathematical journal
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• 제28권2호
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• pp.215-232
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• 2012

The methods of selection through observations and recommendations were introduced in the process of recruiting new students for the science education institutes for the gifted attached to 25 universities recently. This paper itemized the methods of screening through observations and recommendations. This paper also analyzed the problems with the methods and attempted to create plans for their improvement. The methods of selection through observations and recommendations led to the positive results that students' usual activities and attitudes in the classroom were reflected on the evaluation and that the cost of their private lessons was also reduced. However, the methods showed a few problems that need to be corrected. We point out problems occurring with examining their documents for submission and interviews. It was not easy to grade candidates' gifts, creativity, potential and development within the contents of the documents and the limited time of conducting interviews. On the plans for the developments of the implemented methods of selection through observations and recommendations, we have several suggestions. The chances for teachers' in-service training of learning the methods of selection through observations and recommendations need to be expanded. The interview needs to be enhanced and to have the same weight as the document screening. To secure the continuity of the education for the gifted, the clear guidelines from the Ministry of Education, Science, Technology along with the cooperation of the education institutes for the gifted are essential.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.121-127
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• 2018

This paper develops and builds an Integrated Assessment System for National Competency Standard Professional Basic. The integrated evaluation system for basic job competency in the National Competency Standards is developed to conduct examination by means of computers, smartphones and tablet PCs. The system can be used for the basic job competency test, examination for online cyber universities, job competency examination for enterprises, and the listening, reading, and speaking test in the foreign language proficiency examination and is even better in terms of facility investment and saved operating costs as well as efficient use of spaces in comparison with conventional evaluation schemes. Even greater synergy effects can be achieved by providing support for the integrated evaluation system for basic job competency in connection with the NCS qualification system. The evaluation system has been tested and practiced at a specialized high school and can be applied to the NCS education evaluation of the college and four-year college and to the selection examination of new employees of the company.

• 한국지반신소재학회논문집
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• 제15권1호
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• pp.59-70
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• 2016

본 연구에서는 Value Engineering 기법을 토취장 선정의 도구로 활용할 수 있는지의 여부를 검토하였다. 이를 위해 대규모 택지개발지역의 토취장 후보지들에 대한 지반조사 결과를 분석한 후 토취장 후보지들의 가채량을 산정하였으며, 토취장 후보지들의 VE 평가에는 가중치 부여 매트릭스평가법을 적용하였다. VE 평가를 위해 평가항목을 결정한 후 중요도를 산정하고 평가척도를 설정하였으며, 토취장 후보지에 대한 성능등급 및 성능평가를 수행하여 토취장 후보지들의 개발 우선순위를 결정하였다. 결과적으로 토취장 후보지들에 대한 상대공사비는 운반거리와 밀접한 관련이 있으며, 운반거리가 멀어질수록 상대공사비는 점차 증가하므로 운반거리가 토취장 선정에 있어 상당한 영향을 미친다는 것을 확인하였다. 또한 최적의 토취장 후보지를 선정하는데 있어 토취장 자체의 조건도 중요하지만, 생애주기비용의 영향을 무시할 수 없는 것으로 나타났다.

• Asia pacific journal of information systems
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• 제30권1호
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• pp.31-52
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• 2020

Stock markets are popular investment avenues to people who plan to receive premium returns compared to other financial instruments, but they are highly volatile and risky due to the complex financial dynamics and poor understanding of the market forces involved in the price determination. A system that can forecast, predict the stock prices and automatically create a portfolio of top performing stocks is of great value to individual investors who do not have sufficient knowledge to understand the complex dynamics involved in evaluating and predicting stock prices. In this paper the authors propose a Stock prediction, Portfolio Generation and Selection model based on Machine learning algorithms, Artificial neural networks (ANNs) are used for stock price prediction, Mathematical and Statistical techniques are used for Portfolio generation and Un-Supervised Machine learning based on K-Means Clustering algorithms are used for Portfolio Evaluation and Selection which take in to account the Portfolio Return and Risk in to consideration. The model presented here is limited to predicting stock prices on a long term basis as the inputs to the model are based on fundamental attributes and intrinsic value of the stock. The results of this study are quite encouraging as the stock prediction models are able predict stock prices at least a financial quarter in advance with an accuracy of around 90 percent and the portfolio selection classifiers are giving returns in excess of average market returns.

• 비파괴검사학회지
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• 제7권1호
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• pp.18-31
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• 1987

For the purpose of domestic production of ultrasonic transducer, experiments on material selection for backing and matching layer, and electrical impedance matching between transducer and equipment were performed. The characteristics of manufactured transducers with experimental results were analyzed and compared with foreign products. Through the evaluation of the transducers manufactured and the comparision with foreign products, it is confirmed that the transducers manufactured show the good performance characteristics and efficiency.

• 인터넷정보학회논문지
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• 제21권6호
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• pp.81-94
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• 2020

This study developed evaluation indicators for the comfort experience of virtual reality (VR) headsets by classifying, defining, and weighting cybersickness-causing factors using the Delphi research method and analytic hierarchical process (AHP) approach. Four surveys were conducted with 20 experts on VR motion sickness. The expert surveys involved the 1) classification and definition of cybersickness-causing dimensions, classification of sub-factors for each dimension, and selection of evaluation indicators, 2) self-reassessment of the results of each step, 3) validity revaluation, and 4) final weighting calculation. Based on the surveys, the evaluation indicators for the comfort experience of VR headsets were classified into eight sub-factors: field of view (FoV)-device FoV, latency-device latency, framerate-device framerate, V-sync-device V-sync, rig-camera angle view, rig-no-parallax point, resolution-device resolution, and resolution-pixels per inch (PPI). A total of six dimensions and eight sub-factors were identified; sub-factor-based evaluation indicators were also developed.

• 보건교육건강증진학회지
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• 제29권4호
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• pp.67-81
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• 2012

Objectives: This article examines the diversity of healthy cities evaluation in practice and discusses the major conflicting issues in evaluating healthy cities to offer implications to academics and cities for application in their field. Methods: The author discusses issues on major topics that arose from a review of literature on selected articles from peer-reviewed journals, books and gray literature. The recently developed Korean Healthy Cities evaluation framework is used as a main source of reference. Results: Evaluating healthy cities is in itself a political process and requires multiple methodologies and diverse sources of data. Details of the evaluation process depend on the purposes and goals predetermined by the stakeholders. The Korean Healthy Cities evaluation framework applies these principles and suggests a participatory approach to evaluation, selection of indicators that provide evidence on the process of change and to use mixed evaluation methods. The involvement of stakeholders in the evaluation process can also be a useful tool to further strengthen partnerships and strategies for healthy cities. Conclusion: Cities need to engage more in evaluation activities and develop necessary skills and capacity to produce utility-driven evidence.