• Transactions of the Korean Society of Mechanical Engineers
• /
• v.16 no.11
• /
• pp.2150-2158
• /
• 1992

This study was carried out to investigate the flow structure and mixing process of a cross mixing flow formed by two round jets with respect to the ratio of mass flow rate. This flow configuration is of great practical relevance in a variety of combustion systems, and the flow behaviour of a cross jet defends critically on the ratio of mass flow rate and the cross angle. The mass flow rate ratios of two different jets were controlled as 1.0, 0.8, 0.6, and 0.4, and the crossing angle of two round jets was fixed at 45 degree. The velocities issuing from jet nozzle with an exit diameter of 20mm were adjusted to 40m/s, 32m/s, 24m/s, and 16m/s, and the measurements have been conducted in the streamwise range of $1.1X_0$to $2.5X_0$ by an on-line measurement system consisted of a constant temperature type two channel hot-wire anemometry connected to a computer analyzing system. The original air flow was generated by a subsonic wind tunnel with reliable stabilities and uniform flows in the test section. For the analysis of the cross mixing flow structure in the downstream region after the cross point, the mean velocity profiles, the resultant velocity contours, and the three-dimensional profiles depending upon the mass flow rate ratio have been concentrately studied.

• The Korean Journal of Applied Statistics
• /
• v.18 no.2
• /
• pp.343-354
• /
• 2005

The goal of this paper is to compare classification performances and to find a better classifier based on the characteristics of data. The compared methods are CART with two ensemble algorithms, bagging or boosting and SVM. In the empirical study of twenty-eight data sets, we found that SVM has smaller error rate than the other methods in most of data sets. When comparing bagging, boosting and SVM based on the characteristics of data, SVM algorithm is suitable to the data with small numbers of observation and no missing values. On the other hand, boosting algorithm is suitable to the data with number of observation and bagging algorithm is suitable to the data with missing values.

• Journal of the Korean Society for information Management
• /
• v.15 no.1
• /
• pp.83-108
• /
• 1998

Recently, information on international trade goes on increasing in quantity because of the globalism and many related areas of the field. Most of libraries and informatin centers in Korea are using Dewey Decimal Classification(DDC), Library of congress Classification(LCC), and Korean Decimal Classification(KDC) to classify library materials on the subject. The application of three classification shcemes, DDC, LCC, and KDC were queried to determine the classification of materials on international trade. And analyses of the parts of international trade in three classification shemes were done in order to identify what major changes have made with the development of the field. There was subject scatter in DDC and LCC; there was an overlap among the classes of the three systems; and there was little change between present editions and the previous editions. The revision for international trade field of the KDC, the 4t edtition was suggested to help cover some deficiencies of the classification scheme. Inorder to develop a better KDC, the 5th edition, continuous revisions based upon the opinions of subject specialists and catalogers in the field are highly recommended.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.30 no.4
• /
• pp.397-404
• /
• 2012

Jeju where concentrates on agriculture and tourism, conversion of outdoor culture into cultivation under structure happens actively for the purpose of increasing profit so continuous examination on house cultivation area is very important for this region. This paper is to suggest the effective image classification method using high resolution satellite image to detect the greenhouse. We carried out classification of greenhouse using the supervised classification and rule-based classification method about Formosat-2 images. Connecting result of two classification try to find accuracy improvement for greenhouse detection. Results about each classification method were calculated the accuracy by comparing with the result of visual detection. As a result, mahalanobis distance among the supervised methods was resulted in the highest detection. Also, it could be checked that detection accuracy was improved by tying with result of supervised method and result of rule-based classification. Therefore, it was expected that effective detection of greenhouse would be feasible if henceforward further study is performed in the process of connecting supervised classification and rule-based classification.

• Journal of KIISE:Software and Applications
• /
• v.32 no.11
• /
• pp.1136-1146
• /
• 2005

Fingerprint classification is useful in an automated fingerprint identification system (AFIS) to reduce the matching time by categorizing fingerprints. Based on Henry system that classifies fingerprints into S classes, various techniques such as neural networks and support vector machines (SVMs) have been widely used to classify fingerprints. Especially, SVMs of high classification performance have been actively investigated. Since the SVM is binary classifier, we propose a novel classifier-combination model, multiple decision templates (MuDTs), to classily fingerprints. The method extracts several clusters of different characteristics from samples of a class and constructs a suitable combination model to overcome the restriction of the single model, which may be subject to the ambiguous images. With the experimental results of the proposed on the FingerCodes extracted from NIST Database4 for the five-class and four-class problems, we have achieved a classification accuracy of $90.4\%\;and\;94.9\%\;with\;1.8\%$ rejection, respectively.

• Korean Journal of Construction Engineering and Management
• /
• v.4 no.3 s.15
• /
• pp.102-111
• /
• 2003

It is very important to improve the overall efficiency in exchanging construction information among project Parties from the project set-up through the project completion. However, each government agency in Korea tendering construction projects has different structures in classifying information. This results in inefficiency of overall construction projects and cost increasing. This requires establishing a new construction information classification system. This research suggests a framework for an analysis of a standard classification system in setting up a standard classification system and in evaluating its applicability to business processes. According to the identified requirements of the classification system, this research analyzes and compares existing information classification systems such as Uniclass, Uniformat, and Korean Standard Classification System of Construction Information, and then identifies problems and approaches for the improvement.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.9
• /
• pp.6333-6344
• /
• 2015

This study focused on the classification systems of modern architecture and facilities reviewing the characteristics of domestic and foreign cultural heritage classification systems. The results are as follows : (1) It is necessary new classification system for recent emerging architectures and facilities which contains new functions, and reflecting new scope of cultural heritage, in example cultural landscape. (2) Reviewing the related spheres which can produce future cultural heritages such as KDC, Industrial Classification and foreign trends on the cultural heritages, we classified 6 main categories ; Politics & Diplomatics, Industry & Economy, Society & Life, Culture & Art, Technology & Science, Military & Public Safety. (3) Under the main category, we divided sub- and subject-category according usages of objects for reflecting the registered appreciations.

• Solar Energy
• /
• v.13 no.1
• /
• pp.1-10
• /
• 1993

The purpose of this research is to investigate the characteristics of heat transfer in the downward axisymmetric free water jet system impinged on a flat oblique plate which has the uniform heat flux. Experimental conditions considered were Reynolds number, distance between nozzle and Bat plate, inclination angle of heater surface and nozzle exit velocity. Local Nusselt number was subjected to the influence of Re number, Pr number, oblique angle of heating surface and local position of flat plate. In the wall region of downward surface, The secondary peak point of heat transfer appeared at the local point of X/D=-8 from the stagnation point. The stagnation heat transfer rate of this experimental study augments 2.4 times than that of laminar theorical solution. The stagnation nusselt number is function of Reynolds number, nozzle-plate spacing Prandtl number and oblique angle of impinging plate.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.45 no.5
• /
• pp.192-200
• /
• 2008

Multimodal biometrics is a method for personal authentication and verification using more than two types of biometrics data. RBF based score-level fusion uses pattern recognition algorithm for multimodal biometrics, seeking the optimal decision boundary to classify score feature vectors each of which consists of matching scores obtained from several unimodal biometrics system for each sample. In this case, all matching scores are assumed to have the same reliability. However, in recent research it is reported that the quality of input sample affects the result of biometrics. Currently the matching scores having low reliability caused by low quality of samples are not currently considered for pattern recognition modelling in multimodal biometrics. To solve this problem, in this paper, we proposed the RBF based score-level fusion approach which employs quality information of input biometrics data to adjust decision boundary. As a result the proposed method with Qualify information showed better recognition performance than both the unimodal biometrics and the usual RBF based score-level fusion without using quality information.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.11 no.3
• /
• pp.153-159
• /
• 2011

Pan-So-Ri singing a story as song is one of Korea traditional musics. it divide into two sect(east-sect, west-sect), and it is hard to classify two sect without knowledge about Pan-So-Ri. In this paper, we have propose a Pan-So-Ri classification program using PCD(Pitch Class Distribution) and Naive Bayesian Classifier. Attribute value of classifier is each appearance frequency of pitch. Experiment is conducted two time with different rounding off location of probability value. Better one show correct classification with east-sect 80%, west-sect 97%, and total accuracy of 88%. this result is used our program.