• Journal of the Society of Cosmetic Scientists of Korea
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• v.45 no.3
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• pp.277-285
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• 2019

In this study, effective cosmetic raw material weighing and bulk manufacturing management system were constructed by using bar code or quick response code (QR code) and database. Raw material labels and weighing labels for bulk manufacturing were published in web environment using the information entered in the database using ScriptX, a print component of Medi&Co. By checking the weighing and manufacturing process by using scanner, tablet and PC, it was possible to remarkably improve the product error caused by erroneous amount or misapplication which is the most cause of error in the production of cosmetic bulk. In conclusion, applying a database that utilizes bar code and QR code to cosmetics manufacturing can reduce the various problems in the process, thereby improving quality control and productivity of cosmetics.

• Korean Journal of Clinical Pharmacy
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• v.31 no.4
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• pp.324-331
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• 2021

To investigate signals of adverse drug reactions of finasteride by using the Korea Adverse Events Reporting System (KAERS) database. This pharmacovigilance was based on the database of the drug-related adverse reactions reported spontaneously to the KAERS from 2013 to 2017. This study was conducted by disproportionality analysis. Data mining analysis was performed to detect signals of finasteride. The signal was defined by three criteria as proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC). The signals of finasteride were compared with those of the other drugs; dutasteride (similar mechanism of action), minoxidil (different mechanism but similar indications for alopecia), silodosin (different mechanism but similar indications for BPH). It was examined whether the detected signals exist in drug labels in Korea. The total number of adverse event-drug pairs was reported 2,665,429 from 2013 to 2017, of which 1,426 were associated with finasteride. The number of investigated signals of finasteride was 42. The signals that did not include in the drug label were 29 signals, including mouth dry, hypotension, dysuria etc. The signal of finasteride was similar to that of dutasteride and silodosin but was different to that of minoxidil. Early detection of signals through pharmacovigilance is important to patient safety. We investigated 29 signals of finasteride that do not exist in drug labels in Korea. Further pharmacoepidemiological studies should be needed to evaluate the signal causality with finasteride.

• Nuclear Engineering and Technology
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• v.54 no.3
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• pp.1037-1048
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• 2022

A radioactive isotope identification algorithm is a prerequisite for a low-resolution scintillation detector applied to an unmanned radiation monitoring system. In this paper, a sparse representation with dictionary learning approach is proposed and applied to plastic gamma-ray spectra. Label-consistent K-SVD was used to learn a discriminative dictionary for the spectra corresponding to a mixture of four isotopes (¹³³Ba, ²²Na, ¹³⁷Cs, and ⁶⁰Co). A Monte Carlo simulation was employed to produce the simulated data as learning samples. Experimental measurement was conducted to obtain practical spectra. After determining the hyper parameters, two dictionaries tailored to the learning samples were tested by varying with the source position and the measurement time. They achieved average accuracies of 97.6% and 98.0% for all testing spectra. The average accuracy of each dictionary was above 96% for spectra measured over 2 s. They also showed acceptable performance when the spectra were artificially shifted. Thus, the proposed method could be useful for identifying radioisotopes in gamma-ray spectra from a plastic scintillation detector even when a dictionary is adapted to only simulated data. Furthermore, owing to the outstanding properties of sparse representation, the proposed approach can easily be built into an insitu monitoring system.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.9 no.1
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• pp.125-155
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• 1999

The objectives of this study were (1) an investigation of the current status of the hazardous substances, (2) a comparative analysis of classification system of hazardous substances between Korea and other countries, (3) a development of the new classification system in Korea, finally a review of prerequisites for effective enforcement of the new system. The results are summarized as follows : 1) The backbone of classification system of hazardous substances in Korea is based on Japanese classification system and EC(European Committee) guideline of hazardous substance. There are many problems in managing and handling of hazardous substances due to discordant of Japanese and EC system. It is desirable to revise the classification system to be harmonized with international guideline for example, guideline of IFCS(The Inter-governmental Forum on Chemical Safety) and EC guideline. 2) There are several problems in definitions of corrosive, sensitizing and irritation in MSDS Code of Ministry of Labour. It is desirable to reform those definitions. 3) Among the hazardous substances under the current system, there are several substances such as, beta-propiolactone, methyl bromide, ethyleneimine, etc that are not used and produced in Korea. It is desirable to exclude the substances from the list of controlled substances. 4) The section 39, about 'substance that designated to attach warning label' in Korea Occupational Safety and Health Act(OSHAct) should be eliminated, because above section is unnecessary under the MSDS system. 5) The researchers recommend to establish a new list of hazardous substance which are controlled by OSHAct. It is desirable that the new list is consist of two types. The first type is 'a list of the specially controlled substances' and the other is 'the generally controlled substances'. 6) It is recommended that the specially controlled substances should include hazardous substances that are highly toxic and widely used in Korea. And the generally controlled substances should include hazardous substances that can be analysed by instrument and carry threshold. limit values(TLV's).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.7
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• pp.935-943
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• 1993

In this paper, robust recognition system for tilted facial image was developed. At first, standard facial image and lilted facial image are captured by CCTV camera and then transformed into binary image. The binary image is processed in order to obtain contour image by Laplacian edge operator. We trace and delete outermost edge line and use inner contour lines. We label four inner contour lines in order among the inner lines, and then we extract left and right eye with known distance relationship and with two eyes coordinates, and calculate slope information. At last, we rotate the tilted image in accordance with slope information and then calculate the ten distance features between element and element. In order to make the system invariant to image scale, we normalize these features with distance between left and righ eye. Experimental results show 88% recognition rate for twenty five face images when tilted degree is considered and 60% recognition rate when tilted degree is not considered.

• Journal of the HCI Society of Korea
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• v.2 no.2
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• pp.35-43
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• 2007

This paper presents a system for image matching and recognition based on image feature detection and description techniques from artificial satellite photographs. We propose some kind of parameters from the varied environmental elements happen by image handling process. The essential point of this experiment is analyzes that affects match rate and recognition accuracy when to change of state of each parameter. The proposed system is basically inspired by Lowe's SIFT(Scale-Invariant Transform Feature) algorithm. The descriptors extracted from local affine invariant regions are saved into database, which are defined by k-means performed on the 128-dimensional descriptor vectors on an artificial satellite photographs from Google earth. And then, a label is attached to each cluster of the feature database and acts as guidance for an appeared building's information in the scene from camera. This experiment shows the various parameters and compares the affected results by changing parameters for the process of image matching and recognition. Finally, the implementation and the experimental results for several requests are shown.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.271-297
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• 2007

Since the use of the Internet has proliferated, the availability of illegal and harmful content has been a great concern to both governments and Internet users. Among various solutions for issues related to such content, Internet content filtering technologies have been developed for enabling users to deal with harmful content. In recent years, commercial filtering has become massively popular. Many parents, teachers and even governments have chosen commercial filtering software as a feasible technical solution for protecting minors from harmful information on the Internet. The Internet content filtering software market has grown significantly. However, Internet content filtering software has led to intense debate among civil liberties groups, They deem this to be censorship and argue that Internet filtering technologies are simply unworkable because they have inherent weaknesses. They are critical of the fact that most filtering has violated free speech rights and will eventually wipe out honor and controversial, yet innocent incidences of free speech on the Internet. In this article Internet content filtering, in particular PICS/RDF-based label filtering, so-called Internet content rating system, will be explored and its advantages and drawbacks relating to end-users' autonomy and freedom of expression will be discussed.

• The Journal of the Acoustical Society of Korea
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• v.10 no.3
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• pp.37-43
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• 1991

In this paper, we compare the performances of speaker adaptation which consist of two stages of processing for an HMM-based speech recognition system. We compare three kinds of VQ adaptation methods which may be used in the first stage to reduce the distortion error for a new speaker : label prototype adaptation, adaptation with a codebook from adaptation speech itself, and adaptation with a mapped codebook. We then compare the performance of four kinds of HMM parameter adaptation methods which may be used in the second stage to transform HMM parameters for a new speaker : adaptation by the Viterbi algorithm, that by the DTW algorithm, that by the iterative alignment algorithm. The results show that adaptation based on the fuzzy histogram algorithm yields the highest accuracy in an HMM-based speech recognition system.

• Fashion & Textile Research Journal
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• v.17 no.3
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• pp.405-420
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• 2015

The purpose of this study is to identify the differences between clothing size satisfaction and clothing sizing systems of Korean and foreign SPA (specialty retailer of private label apparel) brands according to height group, and provide foundation material that can be used to establish product strategy from the perspective of Korean SPA brand clothing sizes in order to secure competitiveness in the international market. Satisfaction of tall women in their twenties with the clothing sizes of SPA brands was researched, and t-test was conducted to examine differences between clothing size satisfaction of Korean and foreign SPA brands between the two height groups. Then, differences in the size minimum and maximum values, size ranges, size intervals and size numbers between clothing sizing systems of Korean and foreign SPA brands were researched and comparatively analyzed. Existing clothing sizes need to make improvements considering the lengths and shoulder width of tall consumers. And Korean SPA brands need to diversify the range and number of sizes in the clothing sizing system, and set a separate tall-size group, or apply the relationship between vertical and horizontal sizes of clothing to establish a clothing sizing system. A product strategy that applies the results of this study will solve the clothing size dissatisfaction of tall female consumers and stimulate sales of Korean SPA brand clothing products. The study has value in that it extracted realistic problems by researching clothing sizing systems of products that are actually sold.

• The Korean Journal of Food And Nutrition
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• v.29 no.4
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• pp.529-537
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• 2016

The purpose of this study was to analyze University student's dietary behavior for processed foods and recognition on food nutrition labelling according to the degree of health concern. For this study, 302 University students in Gyeonggi region was surveyed by questionnaire from May in 2016 and it included the questions about general matters, dietary behavior on processed foods, and the food nutrition label system. It was analysed by SPSS win 23.0 program. And the results are as follows. According to the result of the factor analysis, the preference of processed foods were showed 3.21~3.97. There were significant differences in milk and milk products preference according to health concern (p<0.05). Also frequency of processed foods was shown significant differences in milk and milk products, noodles, beverage, and fast food (p<0.05), whereas no significant differences were found in meat products, snack, bread and frozen food (p>0.05). Also, the processed food purchase consideration according to health concern was shown significant differences in nutrition, origin, manufacturing company (p<0.05), whereas no significant differences were found in taste, price, exterior, brand, and shelf life (p>0.05). Thus, it is necessary to do continuing public relations and to provide more opportunities for nutrition education so that the University students may obtain right dietary behavior on processed foods and the system of food nutrition indication be established properly.