• Journal of the Korean Society of Costume
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• v.61 no.2
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• pp.131-151
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• 2011

The study alms to identify how the symbols and images of Greek Roman myths in contemporary fashion have been reflected in respects of meaning and forms, and to find out the organic course from meaning to forms by using Durand's classification. The results define the significance of Greek Roman myths in contemporary fashion, and systematically suggest a direction of imagination for more creative design. In the diurne regime, the symbolism of purity, heroism and fear appeared. In the nocturne regime, the symbolism of maternity and sensuality appeared. In the dramatic regime, the symbolism of androgyny appeared. The characteristics of designs contained in each symbolism are common. In this regard, it is possible to trace organic relationships in the creation of images through the verbal scheme. In addition, the verbal scheme creates archetypal images that lead to images and symbols in the socio-cultural context, so it is possible to analyze the relationships between archetypal images and the format of garments. The study examined how the archetypal images that appeared in the mythical images were expressed in garments through the verbal system.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.04a
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• pp.231-234
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• 2008

Each corporation isn't consistent because of offering specific information for publicity. It spends considerable labor force and time surfing of the material information and choosing need material. That's the reason it's different with material information and choice system between production and marketing corporation. Among lots of material information, some of them are used by offering material information simplify. So it is demanded necessity of reasonable material choice system. That system helps it choose a material more easily. So we studied about the information retrieval system of reasonable material choice through the study about assortment system of material information and material choice method. It's the basic study for the suggestion of reasonable material choice system. According to this study, if that system is suggested and realized, we can overcome from the system of typical and repeatable at every course of architecture during several times. It will be helpful to increase about the productivity of architecture as the minimization of time, labor, resource and cost for the material choice.

• Korean Journal of Microbiology
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• v.9 no.1
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• pp.1-26
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• 1971

Intensive taxonomical studies of the Aspergilli have long been made. Altogether 132 species and 18 varieties are recognized in the book "The Genus Aspergillus" written by Raper and Fennell (1965), in contrast to 77 species, 8 varieties and 4 mutations in " A Manual of Aspergilli" written 20 years earlier by Thom and Raper (1945). Classification of the Asperilli by Thom and Raper (1945) and by Raper and Fenell (1965). Classification of the Aspergilli by Thom and Raper (1945) and by Rapher and Fenell (1965) have been based mainly upon morphological and cultural detail both physiological and biochemical activities. In Korean there are many kinds of foods fermented natrually without the employment of selected microorganisms, and there are, of course, many different microorganisms serving in the fermentation fermented foods than other countries, the distribution and biological properties of the Asperigilli, in Korea are more variable. Taxonominical studies with 36 strains of Asperilli were based upon the examinations of morphological, cultural, and physiological characteristics. nineteen strains indigenous to Korea were selected from a lot of strains which had been isolated from meju and kokja and one strain from soil. They were identified according to the group key of Raper and Fennell. Ten strains were donated by Dr.Hesseltine of the Northern Utilization Research and Development Division in the U.S.A. From the Asp. japonicus supplied by Dr.Hesseltine, a white mutant was isolated and also studied. Two strains were donated by Dr. Murakami of the Research Institute of Brewing in Japan, and four strains came from Korean industrial companies.ndustrial companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2564-2588
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• 2024

Due to COVID19 pandemic, most of educational institutions and schools changed the traditional way of teaching to online teaching and learning using well-known Learning Management Systems (LMS) such as Moodle, Canvas, Blackboard, etc. Accordingly, LMS started to generate a large data related to students' characteristics and achievements and other course-related information. This makes it difficult to teachers to monitor students' behaviour and performance. Therefore, a need to support teachers with a tool alerting student who might be in risk based on their recorded activities and achievements in adopted LMS in the school. This paper focuses on the benefits of using recorded data in LMS platforms, specifically Moodle, to predict students' performance by analysing their behavioural data and engagement activities using data mining techniques. As part of the overall process, this study encountered the task of extracting and selecting relevant data features for predicting performance, along with designing the framework and choosing appropriate machine learning techniques. The collected data underwent pre-processing operations to remove random partitions, empty values, duplicates, and code the data. Different machine learning techniques, including k-NN, TREE, Ensembled Tree, SVM, and MLPNNs were applied to the processed data. The results showed that the MLPNNs technique outperformed other classification techniques, achieving a classification accuracy of 93%, while SVM and k-NN achieved 90% and 87% respectively. This indicates the possibility for future research to investigate incorporating other neural network methods for categorizing students using data from LMS.

• Molecules and Cells
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• v.26 no.4
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• pp.338-343
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• 2008

An embryonic stem cell is a powerful tool for investigation of early development in vitro. The study of embryonic stem cell mediated neuronal differentiation allows for improved understanding of the mechanisms involved in embryonic neuronal development. We investigated expression profile changes using time course cDNA microarray to identify clues for the signaling network of neuronal differentiation. For the short time course microarray data, pattern analysis based on the quadratic regression method is an effective approach for identification and classification of a variety of expressed genes that have biological relevance. We studied the expression patterns, at each of 5 stages, after neuronal induction at the mRNA level of embryonic stem cells using the quadratic regression method for pattern analysis. As a result, a total of 316 genes (3.1%) including 166 (1.7%) informative genes in 8 possible expression patterns were identified by pattern analysis. Among the selected genes associated with neurological system, all three genes showing linearly increasing pattern over time, and one gene showing decreasing pattern over time, were verified by RT-PCR. Therefore, an increase in gene expression over time, in a linear pattern, may be associated with embryonic development. The genes: Tcfap2c, Ttr, Wnt3a, Btg2 and Foxk1 detected by pattern analysis, and verified by RT-PCR simultaneously, may be candidate markers associated with the development of the nervous system. Our study shows that pattern analysis, using the quadratic regression method, is very useful for investigation of time course cDNA microarray data. The pattern analysis used in this study has biological significance for the study of embryonic stem cells.

• Journal of KIISE:Information Networking
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• v.32 no.3
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• pp.318-326
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• 2005

This paper presents the image feature extraction method and the image classification technique to select the harmful image flowed from the Internet by grade of image contents such as harmlessness, sex-appealing, harmfulness (nude), serious harmfulness (adult) by the characteristic of the image. In this paper, we suggest skin area detection technique to recognize whether an input image is harmful or not. We also propose the ROI detection algorithm that establishes region of interest to reduce some noise and extracts harmful degree effectively and defines the characteristics in the ROI area inside. And this paper suggests the multiple-SVM training method that creates the image classification model to select as 4 types of class defined above. This paper presents the multiple-SVM classification algorithm that categorizes harmful grade of input data with suggested classification model. We suggest the skin likelihood image made of the shape information of the skin area image and the color information of the skin ratio image specially. And we propose the image feature vector to use in the characteristic category at a course of traininB resizing the skin likelihood image. Finally, this paper presents the performance evaluation of experiment result, and proves the suitability of grading image using image feature classification algorithm.

• Journal of Veterinary Clinics
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• v.33 no.2
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• pp.107-112
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• 2016

The objective of this study was to determine potential contributing factors associated with biosecurity level of farrow-to-finish pig farms and to develop a classification tree model to explore how these factors related to each other based on prediction model. To this end, the author analyzed data (n = 193) extracted from a cross-sectional study of 344 farrow-to-finish farms which was conducted between March and September 2014 aimed to explore swine disease status at farm level. Standardized questionnaires with information about basic demographical data and management practices were collected in each farm by on-site visit of trained veterinarians. For the classification of the data sets regarding biosecurity level as a dependent variable and predictor variables, Chi-squared Automatic Interaction Detection (CHAID) algorithm was applied for modeling classification tree. The statistics of misclassification risk was used to evaluate the fitness of the model in terms of prediction results. Categorical multivariate input data (40 variables) was used to construct a classification tree, and the target variable was biosecurity level dichotomized into low versus high. In general, the level of biosecurity was lower in the majority of farms studied, mainly due to the limited implementation of on-farm basic biosecurity measures aimed at controlling the potential introduction and transmission of swine diseases. The CHAID model illustrated the relative importance of significant predictors in explaining the level of biosecurity; maintenance of medical records of treatment and vaccination, use of dedicated clothing to enter the farm, installing fence surrounding the farm perimeter, and periodic monitoring of the herd using written biosecurity plan in place. The misclassification risk estimate of the prediction model was 0.145 with the standard error of 0.025, indicating that 85.5% of the cases could be classified correctly by using the decision rule based on the current tree. Although CHAID approach could provide detailed information and insight about interactions among factors associated with biosecurity level, further evaluation of potential bias intervened in the course of data collection should be included in future studies. In addition, there is still need to validate findings through the external dataset with larger sample size to improve the external validity of the current model.

• Journal of the Korean Society for information Management
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• v.13 no.2
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• pp.97-120
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• 1996

This study reports the results of an exploratory investigation into building number technique applied by a sample of novice students using Electronic Dewey(ED). For control purposes, a second sample used the same classification schedule but in print format. In this experiment, the DDC 20 in print had a higher success rate than ED. While the searches in ED took shorter time than DDC in print, students using DDC 20 in print were able to build more correct numbers than ED. Novice users did not take full advantage of system features of ED. Therefore, it is important to note the overall difficulty with which users could build numbers from the ED after little training. However, it is interesting to note that the students in the CD-ROM group were more interested in building numbers than their colleagues in the Print group. The correlation between the grade of English course and the score in experiment was negative in Print group. And the correlation between GPA and the score in experiment was a little positive. The correlation between the time and the score in experiment was quitenegative.

• Journal of Korean Medical classics
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• v.23 no.1
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• pp.133-142
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• 2010

Preconditions for the separation of prescribing and dispensing medicinal herbs in Traditional Korean Medicine are classification of medicinal herbs for general public and special medical uses, establishment of national medicinal herb distribution company of governmental base, restriction in purchase of medicinal herbs for special medical use, partnership between doctors and pharmacists of Traditional Korean Medicine, and coverage of herbal medicine-based medication in national health insurance, etc. The number of Traditional Korean Medicine Pharmacists which was born during 'the herbal medicine conflict' initiated in 1993, goes over 1,000 and will increase by 120 annually. The number of Traditional Korean Medical Doctors is over 17,000 and increases by 850 annually. So in order to engage partnership between two groups, the government have to arrange the number of outputs of each group. Standardization and classification of diagnosis and diseases in Traditional Korean Medicine is a matter of course in the separation of prescribing and dispensing medicinal herbs. Related societies and academies need to do researches with governmental fund first. After these works, we can launch a task force team for implementation of process for the separation of prescribing and dispensing medicinal herbs in Traditional Korean Medicine properly. Entering the national health insurance system for full coverage of Korean Medicine care service will be essential for the patients. Implementation the separation of prescribing and dispensing medicinal herbs in Traditional Korean Medicine would be the core of health insurance coverage for medication.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.379-388
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• 2011

At present, GEOBIA (Geographic Object-based Image Analysis), heir of OBIA (Object-based Image Analysis), is regarded as an important methodology by object-oriented paradigm for remote sensing, dealing with geo-objects related to image segmentation and classification in the different view point of pixel-based processing. This also helps to directly link to GIS applications. Thus, GEOBIA software is on the booming. The main theme of this study is to look into the applicability of geo-spatial processing open source to GEOBIA. However, there is no few fully featured open source for GEOBIA which needs complicated schemes and algorithms, till It was carried out to implement a preliminary system for GEOBIA running an integrated and user-oriented environment. This work was performed by using various open sources such as OTB or PostgreSQL/PostGIS. Some points are different from the widely-used proprietary GEOBIA software. In this system, geo-objects are not file-based ones, but tightly linked with GIS layers in spatial database management system. The mean shift algorithm with parameters associated with spatial similarities or homogeneities is used for image segmentation. For classification process in this work, tree-based model of hierarchical network composing parent and child nodes is implemented by attribute join in the semi-automatic mode, unlike traditional image-based classification. Of course, this integrated GEOBIA system is on the progressing stage, and further works are necessary. It is expected that this approach helps to develop and to extend new applications such as urban mapping or change detection linked to GIS data sets using GEOBIA.