• Structural Engineering and Mechanics
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• v.54 no.4
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• pp.711-723
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• 2015

This study investigates the identification of added mass and its location in the glass fiber reinforced polymer (GFRP) beam structures. The main emphasis of this paper is to ascertain the importance of inclusion of rotational degrees of freedom (dofs) in the introduction of added mass or damage identification. Two identification indices that include the rotational dofs have been introduced in this paper: the modal force index (MFI) and the modal rotational curvature index (MRCI). The MFI amplifies damage signature using undamaged numerical stiffness matrix which is related to changes in the altered mode shapes from the original mode shapes. The MRCI is obtained by using a higher derivative of rotational mode shapes. Experimental and numerical results are compared with the existing methods leading to a conclusion that the contributions of the rotational modes play a key role in the identification of added mass. The authors believe that the similar results are likely in the case of damage identification also.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.180-182
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• 2005

Fingerprint-based identification is known to be used for a very long time. Owing to their uniqueness and immutability, fingerprints are today the most widely used biometric features. Therefore, recognition using fingerprints is one of the safest methods as a way of personal identification. But fingerprint identification system has a critical weakness. Since the fingerprint identification time dramatically increase when we compare the unknown fingerprint's minutiae with fingerprint database's minutiae. In this paper, a ridge orientation extraction method using Index table is proposed to solve the problem. The goal of fast direction image extraction is to reduce the identification time and to improve the clarity of ridge and valley structures of input fingerprint image.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.28 no.4
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• pp.1-11
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• 2015

Objective : The aim of this study was to suggest guidelines using Nasal endoscopy index for objective pattern identification in allergic rhinitis patients. we performed a clinical study to investigate the relationship between Nasal endoscopy index and Cold-heat pattern identification for allergic rhinitis patients.Methods : We assessed 32 patients with allergic rhinitis using Nasal endoscopy index and the patients filled in Cold-Heat pattern questionnaires. Then, we analyzed the relationship between Nasal endoscopy index and Cold-heat pattern identification.Results : Pale and watery rhinorrhea scores were positively correlated with Cold questionnaire score (P<0.05).Conclusion : The results suggest that pattern identification using nasal endoscopy for allergic rhinitis can be useful for assessing the diagnosis of Cold-heat pattern identification and deciding guidelines of treatment.Acknowledgments : This work was supported by a Grant of the Traditional Korean Medicine R&D Project, Ministry of Health and Welfare, Republic of Korea (HI12C1889 and HI13C0530).

• 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.

• Structural Engineering and Mechanics
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• v.59 no.1
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• pp.187-207
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• 2016

Practical ambient excitations of engineering structures usually do not comply with the stationary-white-noise assumption in traditional operational modal analysis methods due to heavy traffic, wind guests, and other disturbances. In order to eliminate spurious modes induced by non-white noise inputs, the improved stochastic subspace identification based on a delay index is proposed in this paper for a representative kind of stationary non-white noise ambient excitations, which have nonzero autocorrelation values near the vertical axis. It relaxes the stationary-white-noise assumption of inputs by avoiding corresponding unqualified elements in the Hankel matrix. Details of the improved stochastic subspace identification algorithms and determination of the delay index are discussed. Numerical simulations on a four-story frame and laboratory vibration experiments on a simply supported beam have demonstrated the accuracy and reliability of the proposed method in eliminating spurious modes under non-white noise ambient excitations.

• Smart Structures and Systems
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• v.23 no.2
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• pp.195-205
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• 2019

An accurate non-model-based method for delamination identification of laminated composite plates is proposed in this work. A weighted mode shape damage index is formulated using squared weighted difference between a measured mode shape of a composite plate with delamination and one from a polynomial that fits the measured mode shape of the composite plate with a proper order. Weighted mode shape damage indices associated with at least two measured mode shapes of the same mode are synthesized to formulate a synthetic mode shape damage index to exclude some false positive identification results due to measurement noise and error. An auxiliary mode shape damage index is proposed to further assist delamination identification, by which some false negative identification results can be excluded and edges of a delamination area can be accurately and completely identified. Both numerical and experimental examples are presented to investigate effectiveness of the proposed method, and it is shown that edges of a delamination area in composite plates can be accurately and completely identified when measured mode shapes are contaminated by measurement noise and error. In the experimental example, identification results of a composite plate with delamination from the proposed method are validated by its C-scan image.

• Structural Monitoring and Maintenance
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• v.4 no.1
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• pp.53-68
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• 2017

The response sensitivity method in time domain has been applied extensively for damage identification. In this paper, the relationship between the error of damage identification and the sensitivity matrix is investigated through perturbation analysis. An index is defined according to the perturbation amplify effect and an optimal sensor placement method is proposed based on the minimization of that index. A sequential sub-optimal algorithm is presented which results in consistently good location selection. Numerical simulations with a two-dimensional high truss structure are conducted to validate the proposed method. Results reveal that the damage identification using the optimal sensor placement determined by the proposed method can identify multiple damages of the structure more accurately.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.5
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• pp.615-622
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• 2012

Airborne radio communications, navigation, and identification equipments are the basic equipment of airplane. Airborne radio communications, navigation, and identification equipments are characterized by user's many quantitative and qualitative requirements. These equipment look like simple test and evaluation, but they have many complex factors. This paper describe the test and evaluation of airborne radio communications, navigation, and identification equipments.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2911-2913
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• 1999

This paper suggest an optimal identification method to complex and nonlinear system modeling that is based on Fuzzy-Neural Network(FNN). The FNN modeling implements parameter identification using HCM algorithm and optimal identification algorithm structure combined with two types of optimization theories for nonlinear systems, we use a HCM Clustering Algorithm to find initial parameters of membership function. The parameters such as parameters of membership functions, learning rates and momentum coefficients are adjusted using optimal identification algorithm. The proposed optimal identification algorithm is carried out using both a genetic algorithm and the improved complex method. Also, an aggregate objective function(performance index) with weighted value is proposed to achieve a sound balance between approximation and generalization abilities of the model. To evaluate the performance of the proposed model, we use the time series data for gas furnace, the data of sewage treatment process and traffic route choice process.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.1
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• pp.113-119
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• 2012

The aim of this study was to investigate the differences in blood homocysteine levels and blood d-dimer levels of cerebral infarction patients categorized by Pattern Identification. We studied hospitalized patients within 4 weeks after the onset of stroke who were admitted to the Oriental Internal Medical Department at Semyung University Chungju Oriental Medical Hospital from May 2008 to September 2009. We analyzed risk factors and blood homocysteine levels and blood d-dimer levels accordings to Pattern Identification in Cerebral infarction patients. A total of 49 patients were included in the trial. No statistical significance was noted for any characteristics except body weight and body mass index. Body weight and body mass index were significantly higher Dampness-Phlegm pattern. On past history of patients, prevalence of DM was significantly higher in Fire-Heat pattern than that of other patterns. There was no significant difference of blood homocysteine levels and blood d-dimer levels among Pattern Identification. This study investigated the differences in blood homocysteine levels and blood d-dimer levels of cerebral infarction patients categorized by Pattern Identification. The correlation in homocysteine and d-dimer levels and Pattern Identification was not clarified.