• Korean journal of food and cookery science
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• v.20 no.1
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• pp.100-111
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• 2004

The purpose of this study was to investigate the status of current nutrition labeling on the packaging of the processed foods that provide consumers with a reliable and consistent source of information, which has been considered as a useful aid for food selection and a potent educational tool for nutrition in daily life. The 2,160 processed foods purchased at the supermarket on September, 2002, were divided by food category issued from the 2002 food codes and assessed in the terms of the nutrition composition labeling and nutrition claims. Nutrition composition labeling was found on 356 of the 2160 processed foods items. Milk and dairy products had 49.7％ of nutrition composition labeling, which was the largest number among the food category. Tables were most frequently used as the type of nutrition composition labeling (79.8％). Nutrition composition including many different ways of expression, such as a table of nutrition composition, indication of nutrition composition, analysis table of nutrition composition and comparative table of nutrition composition, made frequent use of nutrition composition labeling titles (78.7％). The various unit of measures were use in the nutrition labeling of the processed foods, per l00g or 100$m\ell$ was the highest (44.6％) under the currently practiced nutrition labeling. The correct labeling standard with nutrient content and ％ RDA except energy, was used on 47.8％ of labels, and those with only liability indication nutrient and liability indication nutrients plus discretion indication nutrients were 25.3 and 22.5％ respectively. The processed foods with nutrition claims were 8.0％ (172 items). Nutrition claims were divided in two ways: nutrient content claims and nutrient comparative claims. The most frequently used claims were contained in the former (44.4％) and more or plus in the latter case (16.3％). Ca was the most popular item as a nutrition claim nutrient (50.6％).

• ETRI Journal
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• v.26 no.6
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• pp.641-646
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• 2004

As the use of signatures for identification purposes is pervasive in society and has a long history in business, dynamic signature verification (DSV) could be an answer to authenticating a document signed electronically and establishing the identity of that document in a dispute. DSV has the advantage in that traits of the signature can be collected on a digitizer. The research question of this paper is to understand how the individual variables vary across devices. In applied applications, this is important because if the signature variables change across the digitizers this will impact performance and the ability to use those variable. Understanding which traits are consistent across devices will aid dynamic signature algorithm designers to create more robust algorithms.

• Journal of Korean Institute of Industrial Engineers
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• v.7 no.2
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• pp.55-59
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• 1981

An Application of Experimental Designs to Improve the quality of Industrial product : optimization Methodology of statistical model. The primary object of this paper is to aid scientists and Engineers, in applying response surface procedures to obtain operating conditions for many technical fields, particularly for industrial manufacturing processes. The problem considered in this paper is to select technically and scientifically some important factors affecting the quality of products through the experimental design and analysis of response surface. Even though the mathematical model is unknown these statistical analysis can be applicable to control the quality of industrial products and to determine optimum operating conditions for many technical fields, particularly, for industrial manufacturing processes. This paper proposes a method to obtain the optimum operating condition, and how to find the condition by using table of orthogonal array experiments, and optimization methodology of statistical model.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.25.2-25
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• 2001

This paper describes a mobile robot intended for being employed in a multi-agent system. We have already proposed a multi-agent system which realizes patient-aid by helping a lying patient take a distant object on the table. In this paper, a mobile robot agent is developed and is included in the system. An effective man-machine communication strategy is proposed by use of a vision agent settled on the ceiling. If a human (assumed to be a patient) wishes to take an object distant on the floor, he points to the object. The vision agent detects the direction of his arm by image processing and guesses which object he intends to take. The vision agent asks him if it is what he wants and, if yes, the mobile robot runs to take and bring it to him. The system is overviewed with the explanation of a mobile robot. Some experimental results are shown with discussion.

• The Journal of Korean Medical History
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• v.21 no.1
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• pp.109-115
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• 2008

Bean sprouts have been one of the vital food for our ancestor for a long time. They were also hardy wild plants or first-aid medicine for needy people. Even nowadays they are served at table. For examples, bean curd, bean-curd dregs, bean sprouts, soybean paste, fermented soybeans, hot pepper paste, and soy are our daily food. Moreover bean sprouts are widely favored at the age of the well-being. Bean sprouts for a recover from a hangover, soybean paste for the prevention of cancer, beans leaf as the best well-being food for a diet, and so on. Thus the paper explains the origin of bean sprouts and their application as a food or medicinal stuff with the analysis of the various and wide-spread records.

• Smart Structures and Systems
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• v.8 no.1
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• pp.119-137
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• 2011

A bio-inspired two-mode structural health monitoring (SHM) system based on the Na$\ddot{i}$ve Bayes (NB) classification method is discussed in this paper. To implement the molecular biology based Deoxyribonucleic acid (DNA) array concept in structural health monitoring, which has been demonstrated to be superior in disease detection, two types of array expression data have been proposed for the development of the SHM algorithm. For the micro-vibration mode, a two-tier auto-regression with exogenous (AR-ARX) process is used to extract the expression array from the recorded structural time history while an ARX process is applied for the analysis of the earthquake mode. The health condition of the structure is then determined using the NB classification method. In addition, the union concept in probability is used to improve the accuracy of the system. To verify the performance and reliability of the SHM algorithm, a downscaled eight-storey steel building located at the shaking table of the National Center for Research on Earthquake Engineering (NCREE) was used as the benchmark structure. The structural response from different damage levels and locations was collected and incorporated in the database to aid the structural health monitoring process. Preliminary verification has demonstrated that the structure health condition can be precisely detected by the proposed algorithm. To implement the developed SHM system in a practical application, a SHM prototype consisting of the input sensing module, the transmission module, and the SHM platform was developed. The vibration data were first measured by the deployed sensor, and subsequently the SHM mode corresponding to the desired excitation is chosen automatically to quickly evaluate the health condition of the structure. Test results from the ambient vibration and shaking table test showed that the condition and location of the benchmark structure damage can be successfully detected by the proposed SHM prototype system, and the information is instantaneously transmitted to a remote server to facilitate real-time monitoring. Implementing the bio-inspired two-mode SHM practically has been successfully demonstrated.

• Korea Journal of Hospital Management
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• v.21 no.2
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• pp.37-49
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• 2016

The purpose of this study is to investigate the level of competition between Public Health Centers (PHCs) and private clinics (PCs) by examining the number of patients that used PHCs vs. PCs, estimating the total amount of revenue generated from outpatient services at both PHCs and PCs, thereby analyzing the financial impacts on PCs derived from the PHCs. We utilized 2011 National Inpatient Sample data (NIS). Using the 20 table containing general information on each individual claims, we integrate it with the 40 table which contains all the diagnostic codes for each claim. Then, we disaggregate the bundled claims into the original individual claims. Overall, 3.1% of outpatient visits are made at PHCs while the rest was made at the PCs (96.9%). Among the total claim costs of 6.34 billion USD (as of 2011), PHCs occupy 2.0% (124 million USD), and 98.0% are contributed to PCs (6.21 billion USD). The estimated economic losses of PCs due to PHCs are summarized as follow; the maximum potential loss is estimated at 198 million USD in total and 7,099 USD per clinic when we include all patient types; the minimum loss is estimated at 71 million USD in total and 2,540 USD per clinic where Medical Aid recipients and the elderly (aged 65 and over) are excluded. Our results confirm the potential economic effect on PCs due to PHCs providing outpatient services. PCs and PHCs are the most important players providing primary care in Korea. Unnecessary competition between PCs and PHCs is not desirable. Health authorities should carefully examine the healthcare services currently provided by PHCs and their impacts on PCs.

• Journal of the Korean Society for Library and Information Science
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• v.8
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• pp.73-101
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• 1981

Retrieval effectiveness is the principal criterion for measuring the performance of an information retrieval system. The effectiveness of a retrieval system depends primarily on the extent to which it can retrieve wanted documents without retrieving unwanted ones. So, ultimately, effectiveness is a function of the relevant and nonrelevant documents retrieved. Consequently, 'relevance' of information to the user's request has become one of the most fundamental concept encountered in the theory of information retrieval. Although there is at present no consensus as to how this notion should be defined, relevance has been widely used as a meaningful quantity and an adequate criterion for measures of the evaluation of retrieval effectiveness. The recall and precision among various parameters based on the 'two-by-two' table (or, contingency table) were major considerations in this paper, because it is assumed that recall and precision are sufficient for the measurement of effectiveness. Accordingly, different concepts of 'relevance' and 'pertinence' of documents to user requests and their proper usages were investigated even though the two terms have unfortunately been used rather loosely in the literature. In addition, a number of variables affecting the recall and precision values were discussed. Some conclusions derived from this study are as follows: Any notion of retrieval effectiveness is based on 'relevance' which itself is extremely difficult to define. Recall and precision are valuable concepts in the study of any information retrieval system. They are, however, not the only criteria by which a system may be judged. The recall-precision curve represents the average performance of any given system, and this may vary quite considerably in particular situations. Therefore, it is possible to some extent to vary the indexing policy, the indexing policy, the indexing language, or the search methodology to improve the performance of the system in terms of recall and precision. The 'inverse relationship' between average recall and precision could be accepted as the 'fundamental law of retrieval', and it should certainly be used as an aid to evaluation. Finally, there is a limit to the performance(in terms of effectiveness) achievable by an information retrieval system. That is : "Perfect retrieval is impossible."

• Journal of the Korean Dietetic Association
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• v.14 no.2
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• pp.166-175
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• 2008

The effects of nutrition label education on the perception, nutrition knowledge, understanding and applicability of labeling for 81 5$^{th}$ grade students was assessed. Prior to the education, the students' purchasing behavior of processed food was assessed by self-administered questionnaires. The evaluation of subjects' perception and understanding on nutrition label was completed prior to and following four education sessions utilizing materials developed by Korea Food and Drug Administration and Korea Health Industry Development Institute. More than 90% and 15% of subjects purchased processed food weekly and daily, respectively. Considering the nutrition label became an important factor in food purchases following the education sessions. Perception of the value of nutrition label improved from 2.93 to 3.32, although the belief that nutrition labels contributed to the maintenance of good food intake was not significantly increased. The total nutrition knowledge score increased from 5.47 to 7.14 and understanding nutrients composition table was significantly improved (3.17 to 4.80). The results indicate that a school-based nutrition label education program might be an effective aid for adoption of healthier food choices by children.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.6
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• pp.912-921
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• 2015

In this paper, we introduce fuzzy inference-based real-time deterioration diagnosis system with the aid of infrared thermal imaging camera. In the proposed system, the infrared thermal imaging camera monitors diagnostic field in real time and then checks state of deterioration at the same time. Temperature and variation of temperature obtained from the infrared thermal imaging camera variation are used as input variables. In addition to perform more efficient diagnosis, fuzzy inference algorithm is applied to the proposed system, and fuzzy rule is defined by If-then form and is expressed as lookup-table. While triangular membership function is used to estimate fuzzy set of input variables, that of output variable has singleton membership function. At last, state of deterioration in the present is determined based on output obtained through defuzzification. Experimental data acquired from deterioration generator and electric machinery are used in order to evaluate performance of the proposed system. And simulator is realized in order to confirm real-time state of diagnostic field