• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.380-387
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• 2010

For the fault diagnosis of three-phase induction motors, we propose a diagnosis algorithm based on mutual information and linear discriminant analysis (LDA). The experimental unit consists of machinery module for induction motor drive and data acquisition module to obtain the fault signal. As the first step for diagnosis procedure, DFT is performed to transform the acquired current signal into frequency domain. And then, frequency components are selected according to discriminate order calculated by mutual information As the next step, feature extraction is performed by LDA, and then diagnosis is evaluated by k-NN classifier. The results to verify the usability of the proposed algorithm showed better performance than various conventional methods.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.4
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• pp.53-63
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• 2014

Moving context determination is an important issue to be resolved in a mobile computing environment. This paper presents a method for recognizing and classifying a mobile user's moving context by Euclidean distance similarity. In the proposed method, basic data are gathered using Global Positioning System (GPS) and accelerometer sensors, and by using the data, the system decides which moving situation the user is in. The decided situation is one of the four categories: stop, walking, run, and moved by a car. In order to evaluate the effectiveness and feasibility of the proposed scheme, we have implemented applications using several variations of Euclidean distance similarity on the Android system, and measured the accuracies. Experimental results show that the proposed system achieves more than 90% accuracy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.247-264
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• 2016

The purpose of this study is to find the determinants for the type(Franchising or Independent Entrepreneurship) of new venture creation. This study conducted an empirical analysis on a total of 398 samples of survey gathered from people in Seoul, Gyoeng-gi, Daegu, and Gyeonsangbuk-do. This study includes not only personal traits, but also entrepreneurial intention and network as independent variables. Findings of the analysis reported that Entrepreneurial intention, Need for achievement, Autonomy, Entrepreneurship, Self-efficacy, Education, Network, Age, and Income have significant discriminant power, in order of priority, on general two groups of Franchising and Independent Entrepreneurship. However, in the study, autonomy is revealed as the sole discriminant factor on considering venture creation groups. Based on the result, the study contributes theoretical and practical implications in relation to the determinants for the type of franchising or independent entrepreneurship.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.11
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• pp.965-974
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• 2012

As the use of smart devices has become popular, the number of smart devices connected to network has increased and the amount of traffic from them has grown rapidly. The management of mobile traffic and IP address for smart devices in an enterprise network is crucial problem for efficient operation of network. The information about connection type of a terminal host to the network will be very useful for stable and efficient management of an enterprise network. Also, this information might be used to identify NAT device. In this paper, we propose a methodology to identify the connection type of a terminal host using RTT (Round-Trip-Time) value extracted from captured packets. We prove the feasibility of our proposed method in a target campus network.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.2
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• pp.305-314
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• 2017

Recently, user authentication through biometric traits such as fingerprint and iris raise more and more attention especially in mobile commerce and fin-tech fields. In particular, commercialized authentication methods using fingerprint recognition are widely utilized mainly because customers are more adopted and used to fingerprint recognition applications. In the meantime, the security issues caused by fingerprint falsification bring lots of attention. In this paper, we propose a new method to improve the performance of fake fingerprint detection using CNN(Convolutional Neural Network). It is common practice to increase the amount of learning data by using affine transformation or horizontal reflection to improve the detection rate in CNN characteristics that are influenced by learning data. However, in this paper we propose an effective data augmentation method based on the database difficulty level. The experimental results confirm the validity of proposed method.

• Korean Journal of Construction Engineering and Management
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• v.5 no.3 s.19
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• pp.97-105
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• 2004

Planning phase became very important because the construction market in Korea is often unpredictable. The existing feasibility analysis cannot fulfill its purpose in development projects because they are based on intuitive approach rather than systematic approach. The purpose of this study is to make a prototype of feasibility model to be a good investment. To build the model, first, risk factors which can be occurred in project had to be selected. Risk factors were divided into several groups in basis of characteristical risk. Economical risk factors were input on financial analysis. Then, to catch the relevance and influence of all risk factors, influence diagram and decision tree were made. Finally, sensitivity analysis was activated, then what the critical factors were, and how those factors could be solved. Through these procedures, the feasibility model that was made in this study could include both quantitative and qualitative factors. This model is expected to be used as a guide of feasibility analysis including all risk factors and is to serve systematic frame in planning and feasibility stage.

• The KIPS Transactions:PartD
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• v.19D no.3
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• pp.257-262
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• 2012

The aim of this study is to present the importance of Risk Management and Risk Classification System in Supply Chain to cope with the rapidly changing distribution environment flexibly through the cooperation between a shipper and a distribution company. First of all, we considered existing studies related to the risks of Supply Chain Risk and analyzed 47 different risk factors by 18 kinds of risk causing factors. Second, we collected opinions of corporation specialist group based on the analyzed risk factors and then classified the risk factors into three categories and ten sub-categories. Third, we conducted a survey targeting shipping companies and distribution companies about classified risk and then verified the validity of Supply Chain Risk Classification using verification techniques such as Confirmatory Factor Analysis, Concentration Validity and Distinction Validity. Finally, we suggest some implications based on the verification results.

• The Journal of Sustainable Design and Educational Environment Research
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• v.21 no.2
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• pp.1-10
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• 2022

This study aims to prepare an objective project basis by reviewing the feasibility of reconstructing and remodeling Greensmart Future School project for S High School's main building, which was built more than 40 years ago, in Incheon Metropolitan City, and to apply and review an effective methodology for determining renovation and remodeling. To this end, the feasibility of reconstruction and remodeling was evaluated in the long term by synthesizing the results of quantitative evaluation through economic review and qualitative evaluation through educational functional review. As a result of the study, it was found that the reconstruction plan was advantageous throughout all alternatives in terms of economic costs, and the field survey indicated limitations in spatial functions to support students' various educational activities and applying new directions, especially the 2022 revised curriculum and high school credit system.

• Analytical Science and Technology
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• v.29 no.1
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• pp.1-9
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• 2016

It is believed that traditional Korean medicines can be managed more scientifically through the development of logical criteria to verify their region of cultivation, and that this could contribute to the advancement of the traditional herbal medicine industry. This study attempted to determine such criteria for Sansuyu. The volatile compounds were obtained from 20 samples of domestic Corni fructus (Sansuyu) and 45 samples of Chinese Sansuyu by steam distillation. The metabolites were identified in the NIST Mass Spectral Library via the obtained gas chromatography/mass spectrometer (GC/MS) data of 53 training samples. Data binning at 0.2 min intervals was performed to normalize the number of variables used in the statistical analysis. Multivariate statistical analyses, such as principle component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) were performed using the SIMCA-P software package. Significant variables with a variable importance in the projection (VIP) score higher than 1.0 were obtained from OPLS-DA, and variables that resulted in a p-value of less than 0.05 through one-way ANOVA were selected to verify the marker compounds. Finally, among the 11 variables extracted, 1-ethylbutyl-hydroperoxide (9.089 min), nonadecane (20.170 min), butylated hydroxytoluene (25.319 min), 5β,7βH,10α-eudesm-11-en-1α-ol (25.921 min), 7,9-bis(2-methyl-2-propanyl)-1-oxaspiro[4.5]deca-6,9-diene-2,8-dione (34.257 min), and 2-decyldodecyl-benzene (54.717 min) were selected as markers to indicate the origin of Sansuyu. The statistical model developed was suitable for the determination of the geographical origin of Sansuyu. The cultivation areas of four Korean and eight Chinese Sansuyu samples were predicted via the established OPLS-DA model, and it was confirmed that 11 of the 12 samples were accurately classified.

• Journal of Gifted/Talented Education
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• v.22 no.1
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• pp.61-85
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• 2012

The OSPG(Observation Scale for Parents of the Gifted in Korean Traditional and Western Music) is one of the tools for screening of the Gifted in Korean traditional and Western music. So the validity and reliability of the OSPG has an influence on securing validity of the whole identification process. The purpose of this study is to examine the validity and reliability of the OSPG-2 that input screening processing, and to suggest systematization of identification processing for the Gifted in Korean traditional and Western Music. For the achievement of this purpose, this study administered the OSPG-2 to 261 gifted students aged between 13 and 16 in the middle or high school for the arts. To validate the OSPG-2, I analyzed items of the OSPG-2, and conducted the exploratory and confirmative factor analysis. I also examined the internal consistency. As a result of the exploratory factor analysis, I collected 40 items of the OSPG-2 finally. Furthermore, I could identify psychological construct of the Gifted in Korean traditional and Western Music. The consequence of confirmative factor analysis, the model provided good fit to observed data. As a result of reliability analysis, the internal consistency of the internal characteristic verified Cronbach's ${\alpha}$=.939, and the internal consistency of the external environmental characteristic verified Cronbach's ${\alpha}$=.887. This result of validity study reflects the fact that the OSPG-2 is a valid scale and is able to input to gifted educational field instantly.