• Korea Journal of Hospital Management
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• v.19 no.2
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• pp.89-98
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• 2014

The research was to investigate the effect of trust in supervisor, organizational trust and perception on the shared value on innovative behavior. The data were collected from 334 nurses from University hospital of G city. Data were analyzed with frequency, t-test, ANOVA, Scheffe-test, Pearson's correlation coefficient and hierarchical regression, equipped with SPSS 21.0. The results showed that there was correlation among trust in supervisor, organizational trust and perception, and innovative behavior. Therefore, it is considered that the study is the basis to improve innovative behavior of nurses by providing alternatives for achieving trust in supervisor, organizational trust and perception, for sake of efficient management of human resource of nurse of University hospital. This study was supported by research funds from Chosun Nursing College 2013.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.41-47
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• 2012

MANET has vulnerable structure on security owing to structural characteristics as follows. MANET consisted of moving nodes is that every nodes have to perform function of router. Every node has to provide reliable routing service in cooperation each other. These properties are caused by expose to various attacks. But, it is difficult that position of environment intrusion detection system is established, information is collected, and particularly attack is detected because of moving of nodes in MANET environment. It is not easy that important profile is constructed also. In this paper, conformal predictor - support vector machine(CP-SVM) based intrusion detection technique was proposed in order to do more accurate and efficient intrusion detection. In this study, IDS-agents calculate p value from collected packet and transmit to cluster head, and then other all cluster head have same value and detect abnormal behavior using the value. Cluster form of hierarchical structure was used to reduce consumption of nodes also. Effectiveness of proposed method was confirmed through experiment.

• Journal of KSNVE
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• v.10 no.5
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• pp.800-805
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• 2000

To determine the modal matrix and modal frequency of engine mount system, we most solve so-called eigen-value problem. However eigen-value problem of engine mount system with hydraulic mount can not be solved by general eigne-analysis algorithm because the properties of hydraulic mount vary with frequency. so in this paper the method for modal analysis of rigid body motions of an engine supported by hydraulic mount is proposed. Natural frequencies and mode shapes of this nonlinear system are obtained by using complex exponential method and Laplace transformation method. In time domain, impulse response functions are calculated by (two-sided) discrete inverse Fourier Transformation of forced frequency response functions achieved by Laplace transformation of the differential equation of motion. Considering the fact that frequency response functions synthesized by modal parameters form proposed method are in good agreement with original FRFs, it is proved that the proposed method is very efficient and useful for the analysis of eigne-value problem of hydraulic engine mount system.

• Journal of Fashion Business
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• v.5 no.3
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• pp.145-158
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• 2001

The purpose of this study is to help you understand the importance of developing of high value added fashion culture goods being integrated with technology and knowledge. And to propose efficient ways of creating a new brand which can be accepted by anyone who has international sensibility. First of all, after making deep research and investigation about the status of current situation in domestic knitwears industries and brands, and exploring problem areas, a growth plan with priority given to strategies for creation of high value added knitwears and its brands will be presented. As methods used in this study, researches was made mainly by digging into technical books on knitwears, fashion trends, and domestic and international fashion information magazine and leaflets, let alone, a lot of domestic market research was performed, as required, and sometimes knitwears simple items were also actually made in parallel.

• Phonetics and Speech Sciences
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• v.1 no.3
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• pp.95-102
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• 2009

In this paper, an efficient target speech detection algorithm is proposed for the performance improvement of multi-input speech enhancement. Using the normalized cross correlation value between two selected channels, the proposed algorithm estimates the probabilistic distribution function of the value from the pure noise interval. Then, log-likelihoods are calculated with the function and the normalized cross correlation value to detect the target speech interval precisely. The detection results are applied to the generalized sidelobe canceller-based algorithm. Experimental results show that the proposed algorithm significantly improves the speech recognition performance and the signal-to-noise ratios.

• Journal of The Korean Astronomical Society
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• v.39 no.4
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• pp.147-150
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• 2006

In this paper, initial value problem for dynamical astronomy will be established using parabolic cylindrical coordinates. Computation algorithm is developed for the initial value problem of gravity perturbed trajectories. Applications of the algorithm for the problem of final state predication are illustrated by numerical examples of seven test orbits of different eccentricities. The numerical results are extremely accurate and efficient in predicating final state for gravity perturbed trajectories which is of extreme importance for scientific researches as well as for military purposes. Moreover, an additional efficiency of the algorithm is that, for each of the test orbits, the step size used for solving the differential equations of motion is larger than 70% of the step size used for obtaining its reference final state solution.

• Management & Information Systems Review
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• v.8
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• pp.45-60
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• 2002

Recognition reactions about business area activities of business ethics measurement before and after business ethics educations are as follows: 1. Relativism average in production ethics after education shows the high rates, and deontological theory average shows the low levels. These facts show that period characteristics to respect value diversities are reflected. 2. The high average of justice theory, utilitarianism, relativism in distribution ethics before and after education reflects that fair competitions and multitude happiness are preferred, and situation adaptations about the environment changes are preferred. The low average of egoism and justice theory shows that value systems of minorities are not preferred. 3. The high average of relativism in advertisement ethics before and after education reflects the period characteristics to respect value diversities, and low egoism average shows that ethics standards of examine objects are high. 4. Egoism average in selling ethics before education is high, but this average after education is low. These reflect the fact that business ethics educations are efficient.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.353-359
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems (UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between 0 -1. Second, RDB and SQL (Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS (Knowledge Management Systems).

• Journal of the East Asian Society of Dietary Life
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• v.21 no.2
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• pp.277-283
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• 2011

The goal of this study was to make more efficient use of Ligularia fischeri which has both medical and cooking applications after freezing and drying. We manufactured Sulgidduk containing 0, 2, 4, 6 and 8% of Ligularia fischeri powder. Chemical analysis showed that Ligularia fischeri powder contained, 5.77% water, 19.97% crude protein, 1.89% crude fat, 13.12% crude ash, and 9.73% crude fiber. The water content of Sulgidduk to which Ligularia fischeri was added ranged from 37.72~40.20%. As more Ligularia fischeri was added, the L value and 'a' value increased, while the 'b' value did not significantly change. Optimal preference was for a 4% content of added Ligularia fischeri powder. Based on the results of this experiment, Sulgidduk manufactured with added Ligularia fischeri powder showed less hardness than the control group throughout a period of storage, and adequate addition of Ligularia fischeri powder can effectively enhance the storability of Sulgidduk containing Ligularia fischeri.

• Journal of Power System Engineering
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• v.9 no.3
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• pp.5-9
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• 2005

A study on the performance and exhaust emissions of diesel engine with reducing exhaust gas temperature is performed experimentally. In this paper, experiments are performed at engine speed 2200rpm, 2600rpm and load 0%, 25%, 50%, 75% and 100% by test engine with F.W. cooler passing through exhaust gas. Main measured & analyzed parameters are exhaust gas temperature, specific fuel consumption, NOx and soot emissions etc. The obtained conclusions are as follows. (1) Specific fuel consumption is the least value at load 75% and it is decreased 1.5% after remodeling F.W. cooler. (2) NOx emission is the most value at load 100% and it is increased 30.1% after remodeling F.W. cooler. (3) Soot emission is the most value at load 100% and it is decreased 20.0% after remodeling F.W. cooler.