• Journal of the Korean Institute of Intelligent Systems
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• v.3 no.2
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• pp.3-17
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• 1993

The fuzzy pattern matching technique has been developed in the framework of fuzzy set and possibility theory in order to take into account the imprecision and the uncertainty pervading values which have to be compared to requirements (which may be fuzzy) in a pattern matching process. This paper restates the basic principles and extends them to situations where (sub)patterns are only required to be satisfied up to a given tolerance (which may be fuzzy), or where the different subparts of a compound pattern may have various levels of importance. Both cases correspond to a weakening of elementary patterns. which can be expressed by a fuzzy relations modelling an approximate equality or an uncertain strict equality respectively. We also study the more sophisticated case where some elementary patterns have not to be satisfied with the highest priority provided that weaker requirements remain satisfied. The fuzzy pattern matching technique applies in a variety of problems including the evaluation of soft queries with respect to a fuzzy database, the evaluation of the fuzzy condition parts of rules in approximate reasoning, or the evaluation of the belonging of an ill-known object to a flexible class in classification problems.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.131-148
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• 2008

The purposes of the study are to design a key-frame extraction algorithm for constructing the virtual storyboard surrogates and to evaluate the efficiency of the proposed algorithm. To do this, first, the theoretical framework was built by conducting two tasks. One is to investigate the previous studies on relevance and image recognition and classification. Second is to conduct an experiment in order to identify their frames recognition pattern of 20 participants. As a result, the key-frame extraction algorithm was constructed. Then the efficiency of proposed algorithm(hybrid method) was evaluated by conducting an experiment using 42 participants. In the experiment, the proposed algorithm was compared to the random method where key-frames were extracted simply at an interval of few seconds(or minutes) in terms of accuracy in summarizing or indexing a video. Finally, ways to utilize the proposed algorithm in digital libraries and Internet environment were suggested.

• Journal of Korean Society of societal Security
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• v.2 no.3
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• pp.67-72
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• 2009

The occurrence of disaster lately is coming with the more complex form and increasing the necessity of National Infrastructures Protection Plan(NIPP). International and domestic laws and systems related to critical infrastructures were investigated. The program in which the classification of national critical infrastructures was expanded eight fields to thirteen fields including emergency services, large gathering sites, defense industrial base, and national monuments was presented in this study. The plan for integrating national critical infrastructures, national important infrastructures and national security infrastructures and a NIPP framework were proposed.

• The Mathematical Education
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• v.57 no.2
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• pp.111-136
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• 2018

This study suggests a framework for analyzing items based on the characteristics, and shows the relationship among the characteristics, difficulty, percentage of correct answers, academic achievement and the actual mathematical problem solving competency. Three mathematics educators' classification of 30 items of Mathematics 'Ga' type, on 2017 College Scholastic Ability Test, and the responses given by 148 high school students on the survey examining mathematical problem solving competency were statistically analyzed. The results show that there are only few items satisfying the characteristics for mathematical problem solving competency, and students feel ill-defined and non-routine items difficult, but in actual percentage of correct answers, routineness alone has an effect. For the items satisfying the characteristics, low-achieving group has difficulty in understanding problem, and low and intermediate-achieving group have difficulty in mathematical modelling. The findings can suggest criteria for mathematics teachers to use when developing mathematics questions evaluating problem solving competency.

• Journal of Korean Society on Water Environment
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• v.22 no.5
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• pp.748-756
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• 2006

Accurate and timely information on status and trends in the environment is necessary to shape sound water quality management policy and to implement water quality improvement programs efficiently. One of the most effective ways to communicate information on water quality trends to policy-makers, scientists, and the general public is with comprehensive water quality indices. The derivation and structure of a water quality index (WQI) for the classification of surface water quality is discussed. The WQI generally developed through the selection, transformation and weighting of determinants with rating curves based on legal standards and quality directives or guidelines. The representative pollutants should be included in the index, and the relationship between the quantity of these pollutants in the water and the resulting quality of the water should be based on scientific results. The WQI be simply and meaningfully formulated that nonscientifically trained users can easily become familiar with the framework of the system and use the output data to evaluate their own pollution problems.

• World Technopolis Review
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• v.4 no.3
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• pp.157-167
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• 2015

Innovation system is a framework concept that can be classified in many ways, namely-national, regional, sectoral and technological. Regardless of classification, all these systems have some common features and characteristics as a system. Before the innovation system concept, Mongolia developed and implemented a system to maintain nation's capacity to acquire, absorb and disseminate technologies like other countries. There were two important practices in the system development. Firstly, Mongolia modified and implemented a system "ShBOS" (meant "Invention and Innovative Idea System") that met its unique features to create innovative culture in the nation. Secondly, newly emerged ICT sector was quickly scaled up to be able to export technological products. The main objective of this article is to study modern experience of developing the national innovation system in Mongolia, assess current state of the system, innovation awareness and readiness, and carry out recommendations on its improvement with particular focus on the capacity of ICT sector as a pilot sector. The paper suggests that the above mentioned two achievements can be applied for developing the national innovation system through technological innovation system approach.

• Journal of the Korea Furniture Society
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• v.16 no.2 s.30
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• pp.49-57
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• 2005

This study purposed to grasp the Design Characteristic of the representative Furnitures produced recently by Domestic Furniture Manufacturers. As for the researching method, setting as the object of the selected 7 furniture manufacturers, through the regional classification such as living room, bedroom, dining room, and then chose again the 395 items of furnitures to be analyzed. The Design Characteristic of the chosen furnitures has been examined clearly by the analysis standard framework for those peculiarities at view of aesthetic, decorating and material. As the result of analysis, as for the aesthetic Peculiarity of the furnitures, the rectilinear form was overwhelming than the curve lined shape, and it was appeared that the brighter tone of color was used quite more. In the respect of aesthetic characteristic, the furnitures decorated with modern style is pretty gaining predominance than that of reflected style of traditional character, and since modern residential space has been maintained continuously as minimal shaped trend for several years, it could be known that such moulding and decorating peculiarities and also furniture as the composing factor of space had been selected together with it. Based on such conclusion, standing on this time point where the design trend of residential space is being changed, it is also considered that the Development of Furniture Design which copes positively with such change tendency in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.11
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• pp.5436-5458
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• 2017

Automatic Video Surveillance System (AVSS) has become important to computer vision researchers as crime has increased in the twenty-first century. As a new branch of AVSS, baggage detection has a wide area of security applications. Some of them are, detecting baggage in baggage restricted super shop, detecting unclaimed baggage in public space etc. However, in this paper, a detection & classification framework of baggage is proposed. Initially, background subtraction is performed instead of sliding window approach to speed up the system and HSI model is used to deal with different illumination conditions. Then, a model is introduced to overcome shadow effect. Then, occlusion of objects is detected using proposed mirroring algorithm to track individual objects. Extraction of rotational signal descriptor (SP-RSD-HOG) with support plane from Region of Interest (ROI) add rotation invariance nature in HOG. Finally, dynamic human body parameter setting approach enables the system to detect & classify single or multiple pieces of carried baggage even if some portions of human are absent. In baggage detection, a strong classifier is generated by boosting similarity measure based multi layer Support Vector Machine (SVM)s into HOG based SVM. This boosting technique has been used to deal with various texture patterns of baggage. Experimental results have discovered the system satisfactorily accurate and faster comparative to other alternatives.

• International Journal of Control, Automation, and Systems
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• v.4 no.5
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• pp.637-644
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• 2006

Biomedical image is often complex. An applied image analysis system should deal with the images which are of quite low quality and are challenging to segment. This paper presents a framework for color cell image segmentation by learning and classification online. It is a robust two-stage scheme using kernel method and watershed transform. In first stage, a two-class SVM is employed to discriminate the pixels of object from background; where the SVM is trained on the data which has been analyzed using the mean shift procedure. A real-time training strategy is also developed for SVM. In second stage, as the post-processing, local watershed transform is used to separate clustering cells. Comparison with the SSF (Scale space filter) and classical watershed-based algorithm (those are often employed for cell image segmentation) is given. Experimental results demonstrate that the new method is more accurate and robust than compared methods.

• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.433-443
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• 2002

Objectives; The purpose of this study was to develop a framework for home care and a Home Care Need Assessment Tool. Method 1. Identifying common domains in the provision of home care. 2. Charts of 253 home care clients were reviewed to obtain a classification of the nursing diagnoses. 3. A focus group methodology was used to develop the domains. 4. The tool was applied to 439 home care clients.(Kappa value=0.460-1.000, sensitivity, 0.444-1.000: specificity, 0.743-1.000). 5. Some refinements and extractions of the defining characteristics and related factors were made based on the results of the focus group. Results Home Care Need Assessment Tool consists of three parts; -Part I : factors related to basic conditions -Part II : a screening component that enables home care nurses to assess 30 multiple domains of 53 nursing diagnoses. -Part III : summative nursing diagnoses and nursing need intensity for the clients. Conclusion This tool provides a comprehensive assessment that helps the recognition of many strengths as well as problems of the clients. It will be usefully utilized in scheduling home care nursing plans and evaluating client outcomes.