• Transactions on Control, Automation and Systems Engineering
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• v.2 no.1
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• pp.40-46
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• 2000

In this paper, a transient identification based on a Hidden Markov Model (HMM) has been suggested and evaluated experimentally for the classification of transients in the dynamic process. The transient can be identified by its unique time dependent patterns related to the principal variables. The HMM, a double stochastic process, can be applied to transient identification which is a spatial and temporal classification problem under a statistical pattern recognition framework. The HMM is created for each transient from a set of training data by the maximum-likelihood estimation method. The transient identification is determined by calculating which model has the highest probability for the given test data. Several experimental tests have been performed with normalization methods, clustering algorithms, and a number of states in HMM. Several experimental tests have been performed including superimposing random noise, adding systematic error, and untrained transients. The proposed real-time transient identification system has many advantages, however, there are still a lot of problems that should be solved to apply to a real dynamic process. Further efforts are being made to improve the system performance and robustness to demonstrate reliability and accuracy to the required level.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 1998.04a
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• pp.244-249
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• 1998

The present paper improves the direct identification scheme based upon the equation error formulation with incomplete modal data. First, an indirect estimation technique is considered for estimating unmeasured elements of latent vectors by the combined use of a model and measured incomplete eigen vectors. It is used for estimating the other elements of eigen vectors, which are essential for identification but not available. Next an index is introduced here to indicate the quality of estimation with respect to the mode and the measured positions. A sensitivity formula for eigenvalues with respect to the unknown joint coefficient is also derived to select the modes appropriate for identification. An identification strategy is suggested to meet with practical problems with the help of the index and sensitivity formula. The index and the sensitivity are proved to be useful for selecting measurement positions and modes appropriate for identification A comprehensive simulation study is performed to test the proposed method.

• Journal of the Korea Safety Management & Science
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• v.18 no.1
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• pp.191-201
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• 2016

The paper examines how servant leadership and organizational identification contributed to explaining innovative behavior. In order to verify the relationships and mediating effect, data were collected from 298 individuals in employees working in small and medium-sized firms at Jinju, Changwon, Gimhae, Busan City to test theoretical model and its hypotheses. All data collected from the survey were analyzed using with SPSS 18.0. This study reports findings as follows: first, the relationship between the servant leadership and the organizational identification is positively related. Second, there was also a positive correlation between the organizational identification and the innovative behavior. Third, the relationship between the servant leadership and the innovative behavior is positively related. Finally, the organizational identification played as a partial mediator on the relationship between servant leadership and innovative behavior. Based on these findings, the implications and the limitations of the study were presented including some directions for future studies.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.285-294
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• 2014

The paper examines how ethical leadership and organizational identification contributed to explaining organizational commitment. In order to verify the relationships and mediating effect, data were collected from 256 individuals in employees working in small and medium-sized firms at Jinju, Changwon, Gimhae City to test theoretical model and its hypotheses. All data collected from the survey were analyzed using with SPSS 18.0. This study reports findings as follows: first, the relationship between the ethical leadership and the organizational identification is positively related. Second, there was also a positive correlation between the organizational identification and the organizational commitment. Third, the relationship between the ethical leadership and the organizational commitment is positively related. Finally, the organizational identification played as a partial mediator on the relationship between ethical leadership and organizational commitment. Based on these findings, the implications and the limitations of the study were presented including some directions for future studies.

• Proceedings of the KSR Conference
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• 2002.10b
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• pp.1065-1073
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• 2002

A new damage identification technique using static displacement data is developed to assess the structural integrity of bridge structures. In the conventional damage assessment techniques using dynamic response, it is usually difficult to obtain a significant natural frequencies variation from the measured data because the natural frequencies variation is intrinsically not sensitive to the damage of a bridge. In this proposed identification method, the stiffness reduction of the bridges can be estimated using the static displacement data measured periodically and a specific loading test is not required. The static displacement data due to the dead load of the bridge structure can be measured by devices such as a laser displacement sensor. In this study, structural damage is represented by the reduction in the elastic modulus of the element. The damage factor of the element is introduced to estimate the stiffness reduction of the bridge under consideration. Finally, the proposed algorithm is verified using various numerical simulation and compared with other damage identification method. Also, the effect of noise and number of damaged elements on the identification are investigated. The results show that the proposed algorithm is efficient for damage identification of the bridges.

• Nuclear Engineering and Technology
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• v.36 no.1
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• pp.12-23
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• 2004

In the present study a new measurement technique has been developed, which uses an ultrasonic transmission signal in order to identify the vertical two phase flow pattern. The ultrasonic measurement system developed in the present study not only provides the information required for the identification of vertical two phase flow patterns but also makes real time identification possible. Various vertical two phase flow patterns such as bubbly, slug, churn, annular flow etc. have been accurately identified with the present ultrasonic measurement system under atmospheric condition. In addition, the present test apparatus can practically simulate the ultrasonic propagation characteristics under high temperature and high pressure systems. Therefore, it is expected that the present ultrasonic flow pattern identification technique could be applicable to the vertical two phase flow systems under high temperature and high pressure conditions.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.4
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• pp.414-421
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• 2013

In this paper, a novel IFF(Identification of Friend and Foe) landmine system has been designed and fabricated using RFID(Radio Frequency Identification) wireless communication system. The IFF landmine system is composed of RECOMS(Remote Controlled Munition System), RFID reader and RFID tag. When the friendly forces have been identified by RFID wireless communication, the IFF landmine is unloaded automatically and indicates the warning message to the operator. Through the discussion, the detailed designs and the test results of identification distance have been described and antenna revision plans for improving the performance have been mentioned.

• Structural Engineering and Mechanics
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• v.70 no.2
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• pp.209-219
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• 2019

By normalizing the internal hysteresis variable and eliminating the redundant parameter, the normalized Bouc-Wen model is considered to be an improved and more reasonable form of the Bouc-Wen model. In order to facilitate application and further research of the normalized Bouc-Wen model, some key aspects of the model need to be uncovered. In this paper, hysteresis characterization of the normalized Bouc-Wen model is first studied with respect to the model parameters, which reveals the influence of each model parameter to the shape of the hysteresis loops. The parameter identification scheme is then proposed based on an improved genetic algorithm (IGA), and verified by experimental test data. It is proved that the proposed method can be an efficacious tool for identification of the model parameters by matching the reconstructed hysteresis loops with the target hysteresis loops. Meanwhile, the IGA is shown to outperform the standard GA. Finally, a simplified identification method is proposed based on parameter sensitivity, which indicates that the efficiency of the identification process can be greatly enhanced while maintaining comparable accuracy if the low-sensitivity parameters are reasonably restricted to narrower ranges.

• Journal of the Society of Naval Architects of Korea
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• v.42 no.2 s.140
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• pp.98-104
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• 2005

The mathematical models of hydrodynamic force and moment acting on a ship at low speed range should be established differently from the ones at nominal cruising speed range since a ship moves with large drift angle or rotates in a stationary position. We modified widely used Yoshimura's cross flow model in order to apply the system identification method to estimate parameters in the model. The apparatus and the procedure of free running model test were suggested so that the parameters in the model be estimated. The validity of our proposing modified model and test procedure was confirmed by comparison with the results of simulated model test.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.2
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• pp.207-214
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• 2006

The purpose of this study was to examine the impacts of brand personality and employee personality on employee brand identification. The questionnaire developed for this study was distributed to 460 employees in F&B (food and beverage) departments and kitchen of 11 deluxe hotels in Seoul. A total of 398 questionnaires were used for analysis (86.5%) and the statistical analyses were completed using SPSS Win(12.0) for descriptive analysis, reliability analysis, t-test, and regression analysis. The results showed that employee brand identification was stronger at higher position, and also stronger among F&B department employees than among kitchen cooks. In addition, international hotels showed a higher level of employee brand identification than local hotels. Employee brand identification was also affected by hotel brand personality and employee personality. The dimension of 'sincerity' had the strongest effect on brand identification, followed by the dimensions of 'excitement' and 'sophistication'. Especially, when the hotel brand personality was lower than the employee personality at the dimension of 'sincerity', the level of employee brand identification was much lower. Overall, employee brand identification, which is a key factor for successful brand delivery to customer, could be enhanced through strong strategies to improve the brand personality dimensions and enhance employee development.