• Journal of Korean Society of Steel Construction
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• v.13 no.5
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• pp.525-533
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• 2001

The wind resistant design of long-span bridges has urged a special attention to the prevention of the flutter occurrence Therefore calculation of flutter derivatives is indispensable to this prediction. A used system identification method must identify all the flutter derivatives from noisy experimental data In this paper MITD(Modified Ibrahim Tim Domain) method and AKF (Adaptive Kalman Filter) method are applied to extract flutter derivatives from section-model tests. The robustness and reliability of proposal SI methods under a high signal-to-noise ratio is demonstrated through numerical simulation for windtunnel test.

• Smart Structures and Systems
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• v.14 no.1
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• pp.55-70
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• 2014

The paper presents a multi-objective optimization strategy for a multi-type sensor placement for Structural Health Monitoring (SHM) of long span bridges. The problem is formulated for simultaneous placement of strain sensors and accelerometers (heterogeneous network) based on application demands for SHM system. Modal Identification (MI) and Accurate Mode Shape Expansion (AMSE) were chosen as the application demands for SHM. The optimization problem is solved through the use of integer Genetic Algorithm (GA) to maximize a common metric to ensure adequate MI and AMSE. The performance of the joint optimization problem solved by GA is compared with other established methods for homogenous sensor placement. The results indicate that the use of a multi-type sensor system can improve the quality of SHM. It has also been demonstrated that use of GA improves the overall quality of the sensor placement compared to other methods for optimization of sensor placement.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.1
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• pp.1-14
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• 2005

It is difficult to identify reusable and independent components in component-based development(CBD) process. Therefore existing methodologies have dealt the problem of component identification based on only developer's intuition and heuristics. As a result, it is difficult to identify the business components by common developers. Therefore, in this paper, we propose a new baseline and technique to identify the business components based on domain model such as use case diagrams, class diagrams, and sequence diagrams. proposed method identifies components through two phases; system component identification and business component identification. Especially, we consider structural characteristics as well as dependency characteristics according to methods call types and directions in identifying components. We also present a case study and comparative analysis and assessment to prove the practical use of our technique.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.133-136
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• 1999

Many researches on the identification of a system have been carried out using a least square method, an adaptive filter, and so on. However, it is difficult to apply these methods in a nonlinear system. In the case of a nonlinear system, it is known that the signal compression method is able to estimate uncertain parameters of linear element in a nonlinear system because it is able to separate linear element and nonlinear element in a nonlinear system. However, the signal compression method cannot be applied to a motion simulator because actuators of the simulator is single-rod cylinders which includes expansion and compression dynamic properties. Therefore, this paper proposes a modified signal compression method which is able to estimate uncertain parameters of the motion simulator dynamics. The dynamic properties of this system are identified by separating expansion and compression properties when applying the signal compression method. And then, the identified parameters are applied to design a sliding mode controller for the simulator. The performance of the designed sliding mode controller is evaluated experimentally.

• Proceedings of KOSOMES biannual meeting
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• 2008.05a
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• pp.173-176
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• 2008

It is very important to protect life, property at sea and marine environments from any pollution AIS, which was been carried out July 1st, 2002 by SOLAS ch. 5, is an communication system to enhance navigational safety by transmitting and receiving vessel information automatically. In this paper, we investigated the positive factors expected by introducing AIS. For this, ship's collision accidents were analyzed. Finally, we suggest methods to solve several problems related to operation in AIS.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.21 no.2
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• pp.11-23
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• 2015

Objectives : Through a comparative study between Sasang constitutional medicine and Syndrome identification and treatment medicine about the theory of diagnosis, the theory of herbal medicine, the theory of prescription, the theory of acupuncture and constitutional medicine to put forward a complementary perfect solution which has good clinical utility. Methods : We compared and sorted out the textbook of Korean Sasang constitutional medicine which named Sasang medicine, and also the textbook of Chinese TCM which was including Basic theory of TCM, Diagnostics of TCM, Science of Chinese materia medica, Pharmacology of traditional Chinese medical formulae, Science of acupuncture and moxibustion, Constitution of TCM, and also related papers. Results : (1) Through a comparative study between Sasang constitutional medicine and Syndrome identification and treatment medicine about diagnosis, herbal medicine, prescription and acupuncture, Sasang constitutional medicine is a medical system which gives priority to balance of organs, when Syndrome identification and treatment medicine is a medical system that gives priority to improve symptom. (2) The prescriptions of Sasang constitutional medicine are used for the treatment of basic pathogenesis in the chronic stage of the disease, which can recover vital qi, when Syndrome identification and treatment medicine are used for the treatment of stage pathogenesis in the acute stage of the disease, which can get rid of pathogenic factors. (3) There are two kind of complementary perfect solution between Sasang constitutional medicine and Syndrome identification and treatment medicine. One perfect complementary medicine is that Sasang constitutional medicine plays a major role when Syndrome identification and treatment medicine plays a supporting role. The other one is that Syndrome identification and treatment medicine plays a major role when Sasang constitutional medicine plays a supporting role. It determined by the usual symptoms and the symptoms now, vital qi and pathogenic factors, symptom and the root cause, acute stage and chronic stage, and the state of pathogenesis. Conclusion : A new perfect complementary medicine can be created which is based on the setting that Sasang constitutional medicine primarily treat the usual symptoms, vital qi, the root cause, chronic stage and basic pathogenesis when Syndrome identification and treatment medicine primarily treat the symptoms now, pathogenic factors, symptom, acute stage and stage pathogenesis.

• Journal of the Korea institute for structural maintenance and inspection
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• v.8 no.2
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• pp.137-145
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• 2004

The paper provides a methodology of identifying a substructure model when sectional and material properties of the structure are not the a priori information. In defining a substructure model, it is required that structural responses be consistent with the actual behavior of the part of the structure. Substructure model is identified by estimating boundary spring constants and stiffness properties of the substructure. Static and modal system identification methods have been applied using responses measured at limited locations within the substructure. Simulation studies for static and dynamic responses have been carried. The results and associated problems are discussed in the paper. The procedure has been also applied to an actual multi-span plate-girder Gerber-type bridge with dynamic responses obtained from a moving truck test and construction blasting vibrations.

• Smart Structures and Systems
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• v.15 no.2
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• pp.425-445
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• 2015

Parametric identification of structures is one of the important aspects of structural health monitoring. Most of the techniques available in the literature have been proved to be effective for structures with small degree of freedoms. However, the problem becomes challenging when the structure system is large, such as bridge structures. Therefore, it is highly desirable to develop parametric identification methods that are applicable to complex structures. In this paper, the LSE based techniques will be combined with the substructure approach for identifying the parameters of a cable-stayed bridge with large degree of freedoms. Numerical analysis has been carried out for substructures extracted from the 2-dimentional (2D) finite element model of a cable-stayed bridge. Only vertical white noise excitations are applied to the structure, and two different cases are considered where the structural damping is not included or included. Simulation results demonstrate that the proposed approach is capable of identifying the structural parameters with high accuracy without measurement noises.

• ETRI Journal
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• v.30 no.5
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• pp.653-662
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• 2008

Arbitration of tag collision is a significant issue for fast tag identification in RFID systems. A good tag anti-collision algorithm can reduce collisions and increase the efficiency of tag identification. EPCglobal Generation-2 (Gen2) for passive RFID systems uses probabilistic slotted ALOHA with a Q algorithm, which is a kind of dynamic framed slotted ALOHA (DFSA), as the tag anti-collision algorithm. In this paper, we analyze the performance of the Q algorithm used in Gen2, and analyze the methods for estimating the number of slots and tags for DFSA. To increase the efficiency of tag identification, we propose new tag anti-collision algorithms, namely, Chebyshev's inequality, fixed adjustable framed Q, adaptive adjustable framed Q, and hybrid Q. The simulation results show that all the proposed algorithms outperform the conventional Q algorithm used in Gen2. Of all the proposed algorithms, AAFQ provides the best performance in terms of identification time and collision ratio and maximizes throughput and system efficiency. However, there is a tradeoff of complexity and performance between the CHI and AAFQ algorithms.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.14 no.1
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• pp.70-78
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• 2010

Objectives : To qualify or enhance the diagnostic ability of students in Oriental Medicine, so called standardized patients are ideal modality, but because it's a man-based method, more convenient tools are required. Computer-based diagnostic ability test program gives effective way for the very purpose. So we made a pilot software evaluating Pattern Identification ability in Oriental Medicine. Methods and Materials : The pilot software was coded with Microsoft's EXCEL VBA. 87 names of Zheng (Symptom Pattern) and 674 names of symptom (including some signs) are adopted from the former standardization works conducted by Korean Institute of Oriental Medicine (KIOM) in 1996. Results : Compared with some manned modalities to test Pattern Identification ability, the test by this software shows superiority in convenience and objectivity. Conclusion : This software is world's first program to perform computer-based evaluation of Pattern Identification in Oriental Medicine, and it gives effective way to complement both written test and manned clinical performance test (CPX).