• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.189-200
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• 2013

In this paper, it will be assumed that there are two distinct populations which are multivariate normal with equal covariance matrix. We also assume that the two populations are equally likely and the costs of misclassification are equal. The classification rule depends on the situation whether the training samples include missing values or not. We consider the conditional bootstrap confidence intervals for classification error rate when a block of observation is missing.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1158-1164
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• 2005

This study suggests how to classify owner's standard specifications in organizations such as local governments which place an order for constructing general and various types of facilities. And the principal conclusions of this study can be summarized as follows; first, the Standard Specifications for Seoul Metropolitan Government of for all facilities could be integrated by seven individual works. Second, it is advisable from a viewpoint of long term to draw up integrally owner's standard specifications by trade for facilities, rather than draw up by group of facilities. Third, editing integrated standard specifications for all trades to meet the unified work classification structure should be backed up by high technology, therefore owner's standard specifications by trades would be favorable to our situation.

• The Journal of Society for e-Business Studies
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• v.25 no.3
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• pp.77-93
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• 2020

The literature has reported that hierarchical classification methods generally outperform the flat classification methods for a multi-class document classification problem. Unlike the literature that has constructed a class hierarchy, this paper evaluates the performance of hierarchical and flat classification methods under a situation where the class hierarchy is predefined. We conducted numerical evaluations for two data sets; research papers on climate change adaptation technologies in water sector and 20NewsGroup open data set. The evaluation results show that the hierarchical classification method outperforms the flat classification methods under a certain condition, which differs from the literature. The performance of hierarchical classification method over flat classification method depends on class similarities at levels in the class structure. More importantly, the hierarchical classification method works better when the upper level similarity is less that the lower level similarity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.395-397
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• 2019

Despite technical advance, human error is the main reason for maritime accidents. To ensure a safety of maritime transporting environment, technical and methodological improvement to react to various types of maritime accidents should be developed instead of ambiguously anticipating maritime accidents due to human errors. Survey, questionnaires, and interview have been routinely applied to understand objective human lookout pattern differences in various navigational situations. Although the descriptive methodology helps systematically categorizing different patterns of human behavior to avoid accidents, the subjective methods limit to objectively recognize physical behavior patterns during navigation. The purpose of the study is to develop an objective lookout pattern detection system using wearable sensors in the simulated navigation environment. In the simulated maritime navigation environment, each participant performed a given navigational situation by wearing the wearable sensors on the wrist, trunk, and head. Activity classification algorithm that was developed in the previous navigation activity classification research was applied. The physical lookout behavior patterns before and after situation-aware showed distinctive patterns, and the results are expected to reduce human errors of navigators.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.450-455
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• 2002

Construction market situation has been changed quickly in the 21st century. One is a large variety of information, the other is the development of IT technology among the rest of the change. Accordingly, it is very important that information is managed systematically and made good use of broadly in proportion to the increase of information volume. Therefore, the purpose of this study is to propose a applicable classification system in the construction phase. First of all, the Construction Information Classification proposed by the government is studied to apply the actual work and to build a applicable construction information classification for construction project. A base of the applicable classification system is the Construction Information Classification, SMM and Materials classification(Public Procurement Service). The applicable classification system to control and manage the construction information is consist of the 4 types : Facility classification, Element classification, Work classification, Resource classification (Materials, Equipment, Labor).

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.653-655
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• 2005

More than 70 percent of terrestrial territory of Korea is mountainous areas where degradation becomes serious year by year due to illegal tombs, expanding golf courses and stone mine development. We elaborate the potential usage of high resolution image for the monitoring of the phenomena. We made the classification of tombs and the statistical radiometric characteristics of graves were identified from this project. The graves could be classified to 4 groups from the field survey. As compared with grouping data after clustering and discriminant analysis, the two results coincided with each other. Object-oriented classification algorithm for feature extraction was theoretically researched in this project. And we did a pilot project, which was performed with mixed methods. That is, the conventional methods such as unsupervised and supervised classification were mixed up with the new method for feature extraction, object-oriented classification method. This methodology showed about $60\%$ classification accuracy for extracting tombs from satellite imagery. The extraction of tombs' geographical coordinates and graves themselves from satellite image was performed in this project. The stone mines and golf courses are extracted by NDVI and GVI. The accuracy of classification was around 89 percent. The location accuracy showed extraction of tombs from one-meter resolution image is cheaper and quicker way than GPS method. Finally we interviewed local government officers and made analyses on the current situation of mountainous area management and potential usage of KOMPSAT-II images. Based on the requirement analysis, we developed software, which is to management and monitoring system for mountainous area for local government.

• Journal of the Korea Society of Computer and Information
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• v.23 no.10
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• pp.103-109
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• 2018

In this paper, we propose a dynamic document classification method which breaks away from existing document classification method with artificial categorization rules focusing on suppliers and has changing categorization rules according to users' needs or social trends. The core of this dynamic document classification method lies in the fact that it creates classification criteria real-time by using topic modeling techniques without standardized category rules, which does not force users to use unnecessary frames. In addition, it can also search the details through the relevance analysis by calculating the relationship between the words that is difficult to grasp by word frequency alone. Rather than for logical and systematic documents, this method proposed can be used more effectively for situation analysis and retrieving information of unstructured data which do not fit the category of existing classification such as VOC (Voice Of Customer), SNS and customer reviews of Internet shopping malls and it can react to users' needs flexibly. In addition, it has no process of selecting the classification rules by the suppliers and in case there is a misclassification, it requires no manual work, which reduces unnecessary workload.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11B
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• pp.1289-1295
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• 2009

Premature ventricular contractions are the most common of all arrhythmias and may cause more serious situation like ventricular fibrillation and ventricular tachycardia in some patients. Therefore, the detection of this arrhythmia becomes crucial in the early diagnosis and prevention of possible life threatening cardiac diseases. Particularly, in the healthcare system that must continuously monitor people's situation, it is necessary to process ECG signal in realtime. In other words, design of algorithm that exactly detects R wave using minimal computation and classifies PVC is needed. So, R wave detection algorithm based adaptive threshold and window for the classification of PVC is presented in this paper. For this purpose, ECG signals are first processed by the usual preprocessing method and R wave was detected and adaptive window through R-R interval is used for efficiency of the detection. The performance of R wave detection and PVC classification is evaluated by using MIT-BIH arrhythmia database. The achieved scores indicate 99.33%, 88.86% accuracy respectively for R wave detection and PVC classification.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.3
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• pp.443-451
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• 2002

In the present social-communicating situation of the folk remedies, we can say there is no responsible main group of it. When we look for recent published remedy books, their authors' background is too various. The folk remedy only focuses on the generality but it does not understand the problem of misusing with lack of explanation and classification in view of the oriental medicine. In conclusion, current folk remedies have formed a figure out of irresponsibility.

• 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).