• Journal of the Korean Society for Library and Information Science
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• v.20
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• pp.35-63
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• 1991

DDC, LCC, and CC can be said as the major schemes for mordern general library classification. Among these, DDC, since its publication in 1876, has been continuously studies and revised by many scholars and practitioners to publish 20th edition in 1989: LCC also has been studied and revised by the specialists in each subject, since 1904; and CC(first edition 1933) is now on the stage of 7th edition(1987). Even though studied, revised and developed by many classificationists, all these schemes maintain the general framework of the beginning, only with the partial revision and expansion to reflect the developments of the subjects. and antioipated tremendous amount of works resulted from reclassification also can be a reason that disturbs the full innovative revision of the scheme, because these are used in many libraries as a basic tools for the classification. But all these schemes mainly based on the state of the discipline at the time of their creation, the beginning of 20the century, and so in some aspect it is natural for them to have many problems. This study aims to investigate the problems in these major schemes, to find some ways to solve the problems, and to suggest the ideas for the basic design of a new modern library classification scheme. This plan is prepared to be applied to the situation of all countries equally without any revision. And in its notation, it uses two digits of Arabic numerals as centesimal, and so it is named provisionally to Plan for Centesimal Classification (PCC).

• Journal of Biomedical Engineering Research
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• v.39 no.2
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• pp.63-68
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• 2018

In modern society, speech recognition technology is emerging as an important technology for identification in electronic commerce, forensics, law enforcement, and other systems. In this study, we aim to develop an age classification algorithm for extracting only MFCC(Mel Frequency Cepstral Coefficient) expressing the characteristics of speech in Korean and applying it to deep learning technology. The algorithm for extracting the 13th order MFCC from Korean data and constructing a data set, and using the artificial intelligence algorithm, deep artificial neural network, to classify males in their 20s, 30s, and 50s, and females in their 20s, 40s, and 50s. finally, our model confirmed the classification accuracy of 78.6% and 71.9% for males and females, respectively.

• Korean Journal of Medicinal Crop Science
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• v.21 no.4
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• pp.268-275
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• 2013

This text was analyzed and investigated the distribution of medicinal plants in Cheongoksan Bonghwagun Korea, in order to search the medicinal resources that are used in modern medicine. Medicinal plants of the Korean Pharmacopoeia (10th edition) distributed in Cheongoksan Bonghwagun were consisted of 93 taxa ; 82 species, 10 varieties, 1 forma of 79 genus, 50 families. In medicinal plants of the Korean Pharmacopoeia, rate of native species and exotic species was 89.2% (83 taxa) and 10.8% (10 taxa) respectively. Family classification was the most of compositae of 8 taxa, and life form classification was most of herb of hemicryptophyte species. The classification by using parts were 34 taxa of root use and the classification of efficacy utilization was 24 taxa of Cheongyeolyak (heat-clearing drug) use.

• Journal of the Korean Society for Library and Information Science
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• v.14
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• pp.19-65
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• 1987

Library classification schedule IS based on the classification theory, principle and the system of the classification of science. It should be consisted of the basic principle of library classification which should use the library materials effectively. Continuous study and research on the each subject field of the discipline are essential for keeping up with the transformation of each learning field and the change of modern society. In this paper, I studied comparatively the sections and subsections of the management in KDC, DDC and NDC and reviewed the academic systems of each subject area in the management. I tried to compare the relationship beween the structure of library classifications and academic systems for the more specialized subsections of the management. KDC is influenced by the principle and structure of DDC, but I found that KDC is more similar to NDC than DDC in the sections and subsections of the management. Being un sufficient of subsections of KDC and NDC, they are not enough for the expansion and specialization of the subsections in the management. DDC is necessary to re-schedule for the proper expansion of 650 and 658 with reflection of the importance of that sections and academic systems. In this study, I adoped 9 sections of management, (1) Management policy (2) Administrative organization (3) Personnel (4) Office management and business information management (5) Marketing (6) Financial management (7) Production management (8) Accounting (9) International management. It would be necessary for us to study continuously about the specilized subsubsections of the management for the more professional classification.

• Korean Journal of Human Ecology
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• v.12 no.4
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• pp.539-552
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• 2003

The purpose of this study was to find out the proper evaluative words and colors according to various fashion images and to classify the fashion images according to certain criteria. 13 books which included the content of the fashion images were selected to draw evaluative words and colors. Evaluative words and colors were found out as follows: classic image-traditional, classical, conservative and brown, wine, dark yellow, modem image-intelligent, rational, westernized and achromatic color, cool colors, elegance image-dignified, graceful, chic and greyish tone, pale tone, romantic image-cute, lovely, girlish, natural image-natural, comfortable, gently and brown, ivory beige, khaki, casual image-energetic, comfortable, active and red, yellow, blue family. The classification of fashion images according to various criteria were as follows. According to sex: feminine-elegance, romantic, pretty and masculine-mannish, dandy, military. According to time: past-conservative, traditional, classical, and present-modern, contemporary, sophisticate. According to formality: formal-formal wear of classic, elegance, mannish, dandy style and informal-natural, casual. According to intelligence, the elite style-modern, elegance, classic, sophisticate and the public style-casual, natural.

• Journal of Distribution Research
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• v.12 no.2
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• pp.103-129
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• 2007

One of the most enduring concepts in the history of marketing thought relates to the classification of consumer goods. The product classification theory first proposed by Copeland(1923) has, with little modification, survived to the present day, and continues to be endorsed by the American Marketing Association and other related institutions some 80 years after it was first published. In truth, Copeland's classification is now outdated and bears little, if any, relevance to modern product advertising, retailing and consumption. In particular, it can not accommodate the fact that, in modern societies, consumer preoccupations with style, personal identity and status have meant that the social characteristics of goods, heavily promoted by brand managers who understand their markets, are key determinants of consumer choice and buyer behavior. In this respect, the author attempted to explore the reasons why product classification theory has been unresponsive to changes in market conditions over so many years and argue that its failure to embrace the many social influences on consumption and on consumer behavior is now its most serious weakness. And also, the author proposed the new categorization system of goods, based on the several existing literatures.

• Journal of the Korean Society for Nondestructive Testing
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• v.15 no.2
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• pp.395-406
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• 1995

Classification of flaws in weldments from their ultrasonic scattering signals is very important in quantitative nondestructive evaluation. This problem is ideally suited to a modern ultrasonic pattern recognition technique. Here brief discussion on systematic approach to this methodology is presented including ultrasonic feature extraction, feature selection and classification. A stronger emphasis is placed on probabilistic neural networks as efficient classifiers for many practical classification problems. In an example probabilistic neural networks are applied to classify flaws in weldments into 3 classes such as cracks, porosity and slag inclusions. Probabilistic nets are shown to be able to exhibit high performance of other classifiers without any training time overhead. In addition, forward selection scheme for sensitive features is addressed to enhance network performance.

• Journal of Sensor Science and Technology
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• v.29 no.1
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• pp.19-26
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• 2020

Electrocardiogram (ECG) classification has become an essential task of modern day wearable devices, and can be used to detect cardiovascular diseases. State-of-the-art Artificial Intelligence (AI)-based ECG classifiers have been designed using various artificial neural networks (ANNs). Despite their high accuracy, ANNs require significant computational resources and power. Herein, three different ANNs have been compared: multilayer perceptron (MLP), convolutional neural network (CNN), and spiking neural network (SNN) only for the ECG classification. The ANN model has been developed in Python and Theano, trained on a central processing unit (CPU) platform, and deployed on a PYNQ-Z2 FPGA board to validate the model using a Jupyter notebook. Meanwhile, the hardware accelerator is designed with Overlay, which is a hardware library on PYNQ. For classification, the MIT-BIH dataset obtained from the Physionet library is used. The resulting ANN system can accurately classify four ECG types: normal, atrial premature contraction, left bundle branch block, and premature ventricular contraction. The performance of the ECG classifier models is evaluated based on accuracy and power. Among the three AI algorithms, the SNN requires the lowest power consumption of 0.226 W on-chip, followed by MLP (1.677 W), and CNN (2.266 W). However, the highest accuracy is achieved by the CNN (95%), followed by MLP (76%) and SNN (90%).

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.79-95
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• 2024

In modern society, as data plays a crucial role at the levels of businesses, industries, and nations, the utilization of data becomes increasingly important. Consequently, governments are prioritizing the development and implementation of plans to cultivate data workforce, viewing the data industry as a cornerstone of national strategy. To enhance domestic capabilities and nurture workforce in the data industry, it is deemed necessary to conduct an objective comparative analysis with major foreign countries. Therefore, this study aims to analyze cases of domestic and international data industries and explore methods for quantitatively comparing data industry workforce across nations. Initially, the study distinguishes between "data industry workforce" and "data job-related workforce," particularly focusing on professionals handling data-related tasks. Subsequently, it compares the workforce sizes of data job-related workforce across nations, utilizing standardized occupational classification codes based on the International Standard Classification of Occupations(ISCO). However, it should be noted that countries employing their own unique occupational classification systems often require matching job titles with similar meanings for accurate comparison. Through this study, it is anticipated that policymakers will be able to establish future directions for cultivating data workforce based on comparable status.

• Journal of Acupuncture Research
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• v.33 no.1
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• pp.69-77
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• 2016

Objectives : The objective of this study is to review external approaches using acupuncture and related treatments of hyperpigmentation disorders and their classification in traditional medicine. Methods and Results : Hyperpigmentation was recorded for the first time in Treatise on the Pathogenesis and Manifestations of All Diseases published in 610 A.D. This suggests that the symptom has already been recognized as an independent disease in East Asia for more than 1,400 years. Over the course of several centuries, there has been a significant evolution in the traditional treatments for hyperpigmentation. There are many different types of therapy, including body acupuncture, intradermal acupuncture, ear acupuncture, ear acupressure, blood-letting treatment, pharmacopuncture, plum-blossom needle therapy, burning acupuncture therapy, moxibustion, and guasha. In addition, the traditional classification of hyperpigmentation has been changing shape. However, no attempts have been made to establish the academic linkage between the modern classification of hyperpigmentation disorders and the traditional one, on account of different concepts and names of the ailment. This study was designed in an attempt to identify the linkage of the categorization of the Korean Standard Classification of Disease (KCD) and the traditional classification. Conclusions : Through this literature review, we found that there has been a significant evolution in the treatment of hyperpigmentation disorders in East Asia. Traditional medical treatment for skin disease, including hyperpigmentation, is expected to be further developed with the advancement of science and technology.