• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1252-1252
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• 2001

The aim of this study was to evaluate the possibility to characterize and classify waxes applied on some type of cheeses to obtain good stability during handling and transportation. Generally, waxes are obtained from the petrochemical industry, nowadays there is the possibility to also use biodegradable waxes produced from microorganisms. Preliminary studies were carried out to optimize sample presentation in NIR analysis, such as melting conditions (influence of temperature) and coat thickness of wax. 12 waxes (biodegradable or not) were analysed by using an InfraAlyzer 500 (Bran+Luebbe). The sample size was performed cutting pieces of 1.5 cm (height) x 1.5 cm (width) x 1.5 mm (thickness), previously melted at 9$0^{\circ}C$. NIR spectra were collected at room temperature, and data were processed by Sesame Software (Bran+Luebbe) to evaluate qualitative differences among samples by cluster analysis. Waxes were gathered on the basis of their origin (petrochemical or microbial). To better understand the significance of the NIRS bands discriminating among waxes, a two-dimensional correlation with FT-IR spectra, collected by a FT-IR/ATR 420 (JASCO) instrument, was made using 2DCORR program (Galactic Industries). On the basis of its classification power, NIRS appears to be a promising tool when used in routine analysis for a qualitative control of raw materials.

• Journal of Korean Society of Rural Planning
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• v.2 no.1
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• pp.31-38
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• 1996

As a rational decision-making process of county-level area development, this study designed 3-step framework : function-giving(areal analysis) on unit planning area by decision matrix of land suitability, check of typical characteristics of each function area and formulation of its future development strategies. Two alternatives were suggested as the areal analysis method, of which one is equal ordering / valuing technique of checking indices for land suitability classfication and the other preferential weighting technique. And then, under the algorithm specially defined in this study, land suitability maps(Fig.2,3) of the case study area (Seungju-county area, Chonnam-province, Korea) were drawn from the areal analysis results. By use of land suitability classification results, unique characteristics of typical function areas were defined (on 7 types of alternative 1 , 8 types of II ) and their future development strategies were formulated in the case study area, According to the categorization criteria in this study, all the villages of the case area were classfied as a suitable type of function areas illustrated in this study.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.8
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• pp.418-428
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• 2005

In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are newly defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.2
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• pp.262-276
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• 1997

The purpose of this study was to develop torso patterns according to the somatotype and thus to contribute to the ready-made industry. Classification of the somatotypes was based on each individual's lateral and frontal view and development of torso patterns according to the somatotype was to center on the darts. The subjects in this study were female college students of 18 to 24 year old. This study was carried out by the following procedures: 1. Classification of the somatotypes was based on each individual's lateral and frontal view. The somatotypes were classified into 18 types. 2. Eighteen subjects who had prominent somatic characteristics and average mea- surements were chosen. 3. Subjects were clothed and a sensory evaluation was carried out. 4. Experiments of alterations were carried out. The quantities of revision of torso patterns due to the difference of somatotypes were measured through these. These method were due to the items of the sensory evaluation. 5. By obtaining the results of the sensory evaluation and experiments of alterations, the torso patterns according to the somatotypes were developed. These were inputted to the CAD System and compared with one another. 6. Grading of the torso pattern according to each somatotype was carried out and thus a file of torso patterns was made according to the somatotypes.

• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1177-1188
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• 2002

To classify real time Lead pin images in this paper, The image acquisition system was composed to C.C.D, image frame grabber(DT3153), P.C(PentiumIII). I proposed image processing algorithms. This algorithms were composed to real time monitoring, Lead Pin image acquisition, image noise deletion, object area detection, point detection and pattern classification algorithm. The raw images were acquired from Lead pin images using the system. The result images were obtained from raw images by image processing algorithms. In implemental result, The right recognition was 97 of 100 acceptable products, 95 of 100 defective products. The recognition rate was 96% for total 200 Lead Pins.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.804-806
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• 2005

In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are new iy defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

• Journal of Korean Academy of Nursing
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• v.36 no.2
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• pp.217-226
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• 2006

Purpose: The purpose of this study was to identify nursing interventions performed by public health nurses in health centers. Method: Data was collected by the taxonomy of Nursing Intervention Classification(NIC 3rd: 486 nursing interventions) from 131 public health nurses in health centers and analyzed using descriptive statistics. Result: As its result, more than 50% of public health nurses performed 137 nursing interventions at least monthly. The most frequently used intervention class was 'activity and exercise management', followed by 'physical comfort promotion', 'community health promotion', 'life span care', 'coping assistance', 'Self care facilitation', 'information management', 'nutrition support', 'community risk management' and 'patient education'. One hundred twenty nursing interventions were rarely performed by 90% or more of the nurses. Most of them were the physical complex domain. Conclusion: In conclusion, 137 interventions were performed by public health nurses at least monthly. NIC is helpful to build a standardized language for public health nursing.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.5
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• pp.23-29
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• 2011

There have been many studies on red tide due to increasing damage from red tide on fishing and aquaculture industry. However, internal study of automatic red tide image classification is not enough. Recognition of red tide algae is difficult because they do not have matching center features for recognizing algae image object. Previously studies used a few type of red tide algae for image classification. In this paper, we proposed the red tide image recognition method using semantic features of NMF and roundness of image objects.

• Journal of the East Asian Society of Dietary Life
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• v.5 no.1
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• pp.29-39
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• 1995

The purpose of this study was to evaluate job performance of dietitians. The survey also examined differences in job performance of dietitians by institutional classicification, types of task, levels of education and job experience. Data was collected form national samples. Results are summarized as follows. 1. By institutional classification, dietitians working in industry showed lowest score(3.0465${\pm}$.4151), which those working in hospital showed highest score(3.2883${\pm}$.4124) in job performance. 2. By types of task, the score of job performance is in order of hygience management(3.3933${\pm}$.4236), business management(3.3183${\pm}$.5435) and education management(2.3132${\pm}$.7551). 3. By educational level, dietitians who graduated universities scored higher than who graduated junior colleges in general. Specifically, the former had high scores in business management(3.4796${\pm}$.4692) and hygiene management, while the latter had high scores in hygiene management(3.3615${\pm}$.440) and business management, as in order. 4. By job experience, job performance increases after-3 year-experience and peaks in over-10 year-experience. 5. For reasons of negligence in specified taskes, 109 of respondents(22.7%) answered "don't know how to perform" and 108 of them(22.5%) answered "lack of human resources." Also, the lower in job experience the more answered "don't know how to perform" as a reason of negligence a their task(34.5% of below-2 year-experience and 24.2% of junior colleges answered to this reason).

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.2021-2028
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• 2010

Rail human factors research has grown rapidly in both quantity and quality of output over the past few years. Human factors, also, still plays a significant part in many railway accidents. In this paper we review categorized performance shaping factors of human errors associated with railway accidents within and out of the country. This paper deals with the selection of the important performance shaping factors under accident management situations in railway for use in the assessment of human errors. The purpose of this study is to classify which human error would be selected for accident analysis. Therefore, the classification of human errors suggested in this study may be useful to enhance the Korean railway system safety.