• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.205-211
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• 2021

Plants are important for humanity. They intervene in several areas of human life: medicine, nutrition, cosmetics, decoration, etc. The large number of varieties of these plants requires an efficient solution to identify them for proper use. The ease of recognition of these plants undoubtedly depends on the classification of these species into family; however, finding the relevant characteristics to achieve better automatic classification is still a huge challenge for researchers in the field. In this paper, we have developed a new automatic plant classification technique based on artificial neural networks. Our model uses leaf texture characteristics as parameters for plant family identification. The results of our model gave a perfect classification of three plant families of the Ivorian flora, with a determination coefficient (R2) of 0.99; an error rate (RMSE) of 1.348e-14, a sensitivity of 84.85%, a specificity of 100%, a precision of 100% and an accuracy (Accuracy) of 100%. The same technique was applied on Flavia: the international basis of plants and showed a perfect identification regression (R2) of 0.98, an error rate (RMSE) of 1.136e-14, a sensitivity of 84.85%, a specificity of 100%, a precision of 100% and a trueness (Accuracy) of 100%. These results show that our technique is efficient and can guide the botanist to establish a model for many plants to avoid identification problems.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.249-265
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• 2016

The objective of this study is to analyze the characteristics of Cutter's Expansive Classification. The four elements about classification evaluation were applied to analyze it. Results show that first, from philosophy and religion class to literature class, the order of main classes is logical and evolutionary. Second, the notation is a pure notation including author mark. Third, the classification is expansive from first classification to seventh classification. Science classes were expanded in the second classification comparing to the first classification. From the third classification, all classes were expanded. Fourth, it was applied by the local list to indicate places emphasizing connection of geographical space.

• Journal of Korean Library and Information Science Society
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• v.35 no.3
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• pp.293-319
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• 2004

This study reviews classification used the Chosun Government-General Library which library was the first of a government library in the Korea Chosun Government-General Library made and used the Eastern Books Classification, Old Books Classification and foreign Books Classification. This study investigates the characteristics of the Chosun Government-General Library Classification which library was a government library at the time of Japanese occupation of Korea. This study also compares and analyzes the classification with other major related classification system at that time to identify the relationship of influence among them.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.842-845
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• 2004

The aim of this study is to compare the classification results for choosing the fuzzy membership function within fuzzy rules. There are various methods of extracting rules from training data in the process of fuzzy rules generation. Pattern distribution characteristics are considered to produce fuzzy rules. The accuracy of classification results are depended on not only considering the characteristics of fuzzy subspaces but also choosing the fuzzy membership functions. This paper shows how to produce various type of fuzzy rules from the partitioning the pattern spaces and results of land cover classification in satellite remote sensing images by adopting various fuzzy membership functions. The experiments of this study is applied to Landsat TM image and the results of classification are compared by fuzzy membership functions.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.14 no.1
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• pp.48-57
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• 2018

Configuration management (CM) is the process of identifying and documenting characteristics of plant structures, systems and components (SSCs), and of ensuring that changes to these characteristics are properly assessed, approved, implemented, verified and recorded. The purpose of this study is to examine regulation and technical standards developed under different concepts and level of depth for classification of nuclear SSCs as an essential prerequisite of the CM. In this context, main contents of currently adopted NSSC Notice 2016-10 are reviewed and compared with those in recently published ANSI/ANS 58.14 and IAEA SSG-30. The technical standards were prototypically used for classification of O-rings in two nuclear systems. It is found that ANSI/ANS 58.14 results in different categories taking into account specific features while IAEA SSG-30 leads to same categorization of the O-rings. Key findings will be summarized for Korean regulatory amendment in the future.

• KIEAE Journal
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• v.9 no.4
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• pp.3-10
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• 2009

It is not an overstatement to say the factory are the number one cause in creating environmental load. However, only a few studies have been done upto this date on environmentally friendly factory. Thus, This study is to present the characteristics of environmentally friendly factory. A survey of current literatures and cases show the characteristics of environmentally friendly factories and buildings and environment assessment method and plan. To better measure the environmentally friendly qualities as written in literature across the globe, classification system was constructed. The classification system was made and important factors were found based on the precedent paper on environmentally friendly building plan and environment assessment method at building and cases and abroad in the literature review. The classification used 4 different sectors : Land & Transportation, Architectural Planning Technique, Environment & Equipment, Energy & Material. Within these 4 sectors 33 discrete factors are applied to the factory according to literature and case review and specialist advice.

• Journal of the Korean Society for Railway
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• v.3 no.3
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• pp.139-146
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• 2000

Recently, many kinds of research have been actively developing for a standardization and information to the field of design, construction, supervision, maintenance and management on facilities. The establishment of standard classification system on tunnel facilities and inspection data is most important among the things to have a efficiently maintenance and management. This paper suggests standard classification system on tunnel facilities and inspection data, and, on the basis of that, code work with standard classification system and input work was practised. The purpose of this paper is to suggest a kind of statistics data and investigate a characteristics of inspection using statistic data on railway tunnel.

• Journal of the Korean Home Economics Association
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• v.40 no.5
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• pp.147-158
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• 2002

This study was intended to make an analysis of the classification of Internet consumer information provided on the Internet and its realities with a focus on the realities of information characteristics and technological level to provide systematized consumer information for consumers. As a result, the following findings were obtained: First, it was found that information on consumer panel research, anti-site and consumerism is lacking in terms of the type of information currently provided in the Internet consumer information classification. Second, it was found that up-to-datensess, communically and connectivity were high in the level of Internet consumer information characteristics. Third, it was found that publicity was realities well carried out in terms of the technological level of Internet consumer information but that the realities of publicity was still tacking. Fourth, it is thought that it is necessary to construct the Internet consumer information provision site through several eve-level programs for elementary, middle and high school students in a systematic fashion in order to provide diverse consumers with Internet consumer information at several levels.

• Journal of Biomedical Engineering Research
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• v.21 no.2
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• pp.137-144
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• 2000

Clustered microcalcifications in X-ray mammograms are an important sign for the diagnosis of breast cancer. A shape-based method, which is based on the morphological features of clustered microcalcifications, is proposed for classifying clustered microcalcifications into benign or malignant categories. To verify the effectiveness of the proposed shape features, clinical mammograms were used to compare the classification performance of the proposed shape features with those of conventional textural features, such as the spatial gray-leve dependence method and the wavelet-based method. Image features extracted from these methods were used as inputs to a three-layer backpropagation neural network classifier. The classification performance of features extracted by each method was studied by using receiver operating-characteristics analysis. The proposed shape features were shown to be superior to the conventional textural features with respect to classification accuracy.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.102.2-102.2
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• 2011

Sunspots usually appear in a group which can be classified by certain morphological criteria. In this study we examine the moments which are statistical parameters computed by summing over every pixels of contours, in order to quantify the morphological characteristics of a sunspot group. The moments can be additional characteristics to the sunspot group classification such as McIntosh classification. We are developing a program for image processing, detection of contours and computation of the moments using continuum images from SOHO/MDI. We apply the program to count the sunspot numbers from 303 continuum images in 2003. The sunspot numbers obtained by the program are compared with those by SIDC. The comparison shows that they have a good correlation (r=89%). We are extending this application to automatic sunspot classification (e.g., McIntosh classification) and flare forecasting.