• 대한상한금궤의학회지
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• v.7 no.1
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• pp.133-147
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• 2015

Objective : The purpose of this paper is to report the effect of Danggwihweyeokgaohsuyu-saenggang-tang(DHGOST) on primary dysmenorrhea from the disease pattern identification diagnostic system based on Shanghanlun provisions. Methods : According to a disease pattern identification diagnostic system based on Shanghanlun provisions, the patient was diagnosed with 'Reverting Yin Disease'. She took DHGOST for 75 days. This paper evaluated the results of treatment by Measure of Menstrual Pain(MMP) and Menstrual Symptom Severity List(MMSL) Results : The MMP score was declined from 8.3 to 3.5. And the MMSL score was declined from 46 to 38. Conclusions : This case study suggests that DHGOST has effectiveness on primary dysmenorrhea who is diagnosed with 'Reverting Yin Disease'.

• 대한상한금궤의학회지
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• v.8 no.1
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• pp.109-119
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• 2016

Objective : The purpose of this paper is to report the effect of Daehamhyung-tang(DHHT) on tinnitus with panic disorder from the disease pattern identification diagnostic system based on Shanghanlun provisions. Methods : According to a disease pattern identification diagnostic system based on Shanghanlun provisions, the patient was diagnosed with 'Taeyang-byung Gyeolhyung'. He took DHHT for 82 days. This paper evaluated the results of treatment on tinnitus by Tinnitus Handicap Inventory(THI) and Verbal Numercial Rating Scale(VNRS). To assess the mental state of anxiety, this paper used Hamilton Anxiety Rating Scale(HAM-A) Results : The THI score was declined from 58 to 6 And the VNRS score was declined from 6 to 1. HAM-A score was declined from 28 to 3. Conclusions : This case study suggests that DHHT has effectiveness on a patient suffers from tinnitus with panic disorder and diagnosed with 'Taeyang-byung Gyeolhyung'.

• Journal of the Earthquake Engineering Society of Korea
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• v.12 no.4
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• pp.19-33
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• 2008

Dynamic response measurements from natural excitation were carried out for 25- and 42-story buildings to evaluate their inherent properties, such as natural frequencies, mode shapes and damping ratios. Both are reinforced concrete buildings adopting a core wall, or with shear walls as the major lateral force resisting system, but frames are added in the plan or elevation. In particular, shear walls in a 25-story building are converted to frames from the 4th floor level downwards while maintaining a core wall throughout, resulting in a fairly complex structure. Due to this, along with similar stiffness characteristics in the principal directions, significantly coupled and closely spaced modes of motion are expected in this building, making identification rather difficult. By using various state-of-the-art system identification methods, the modal parameters are extracted, and the results are then compared. Three frequency-domain and four time-domain based operational modal identification methods are considered. Overall, all natural frequencies and damping ratios estimated from the different identification methods showed a greater consistency for both buildings, while mode shapes exhibited some degree of discrepancy, varying from method to method. On the other hand, in comparison with analysis results obtained using the initial finite element(FE) models, test results exhibited a significant difference of about doubled frequencies, at least for the three lower modes in both buildings. To improve the correlation between test and analysis, a few manual schemes of FE model updating based on plausible reasons have been applied, and acceptable results are obtained. The advantages and disadvantages of each identification method used are addressed, and some difficulties that might arise from the updating of FE models, including automatic procedures, for such large structures are carefully discussed.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.4
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• pp.410-418
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• 1999

This paper describes the use of residual and parameter identification methods for fault detection in an air handling unit. Faults can be detected by comparing expected condition with the measured faulty data using residuals. Faults can also be detected by examining unmeasurable parameter changes in a model of a controlled system using a system identification technique. In this study, AutoRegressive Moving Average with seXtrnal input(ARMAX) and AutoRegressive with eXternal input(ARX) models with both single-input/single-input and multi-input/single-input structures are examined. Model parameters are determined using the Kalman filter recursive identification method. Regression equations are calculated from normal experimental data and are used to compute expected operating variables. These approaches are tested using experimental data from a laboratory's variable-air-volume air-handling-unit.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.22 no.1
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• pp.20-25
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• 2012

Objectives: Hazard identification is the most important step in occupational health monitoring at the workplace. This paper reviewed the several related stuffs to the hazard identification in the semiconductor industry. Methods: I checked the MSDS system, chemical toxic informations, trade secrets and by-products by experience and the literature used in semiconductor industry. Results: I found and experienced as follows; (1) There are a few inventory and history of chemicals used in workplace. Toxic information of chemicals to be available is very limited. (2) There are many trade secrets in MSDS for chemical mixtures. It is difficult to identify the accurate information from MSDS. (3) By-products is necessary to identify that they will produce in workplace. Conclusions: It is necessary to regulate the obligations of employers which check the inventory and history of chemicals used in workplace. It is necessary to amend the trade secrets in MSDS system.

• Smart Structures and Systems
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• v.11 no.5
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• pp.533-553
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• 2013

In this paper, system identification of a cable-stayed bridge in Korea, the Hwamyung Bridge, is performed using vibration responses measured by a wireless sensor system. First, an acceleration based-wireless sensor system is employed for the structural health monitoring of the bridge, and wireless sensor nodes are deployed on a deck, a pylon and several selected cables. Second, modal parameters of the bridge are obtained both from measured vibration responses and finite element (FE) analysis. Frequency domain decomposition and stochastic subspace identification methods are used to obtain the modal parameters from the measured vibration responses. The FE model of the bridge is established using commercial FE software package. Third, structural properties of the bridge are updated using a modal sensitivity-based method. The updating work improves the accuracy of the FE model so that structural behaviors of the bridge can be represented better using the updated FE model. Finally, cable forces of the selected cables are also identified and compared with both design and lift-off test values.

• Journal of KIISE:Databases
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• v.41 no.4
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• pp.199-208
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• 2014

In this paper, we represent a system of identification and feature search for scanned comics in consideration of their content characteristics. For creating the feature of the scanned comics, we utilize a method of hierarchical symmetry fingerprinting. Proposed identification and search system is designed to give online service provider, such as Webhard, an immediate identification result under conditions of huge volume of the scanned comics. In simulation part, we analyze the robustness of the identification of the fingerprint to image modification such as rotation and translation. Also, we represent a structure of database for fast matching in feature point database, and compare search performance between other existing searching methods such as full-search and most significant feature search.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.241-247
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• 2022

Ad hoc network is self-organized network powered by battery. The reliability of virtual user identification and channel security are reduced when SNR is low due to limited user energy. In order to solve this problem, a joint virtual user identification and channel security en/decoding method is proposed in this paper. Transmitter-receiver-based virtual user identification code is generated by executing XOR operation between orthogonal address code of transmitter and pseudo random address code of receiver and encrypted by channel security code to acquire orthogonal random security sequence so as to improve channel security. In order to spread spectrum as well as improve transmission efficiency, data packet is divided into 6-bit symbols, each symbol is mapped with an orthogonal random security sequence. Subspace-based method is adopted by receiver to process received signal firstly, and then a judgment model is established to identify virtual users according to the previous processing results. Simulation results indicate that the proposed method obtains 1.6dB E_b/N₀ gains compared with reference methods when miss alarm rate reaches 10^-3.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.212-216
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• 2022

Space based constellation network is a kind of ad hoc network in which users are self-organized without center node. In space based constellation network, users are allowed to enter or leave the network at any given time. Thus, the number of active users is an unknown and time-varying parameter, and the performance of the network depends on how accurately this parameter is estimated. The so-called problem of active user identification, which consists of determining the number and identities of users transmitting in space based constellation network is discussed and a novel active user identification method is proposed in this paper. Active user identification code generated by transmitter address code and receiver address code is used to spread spectrum. Subspace-based method is used to process received signal and judgment model is established to identify active users according to the processing results. The proposed method is simulated under AWGN channel, Rician channel and Rayleigh channel respectively. Numerical results indicate that the proposed method obtains at least 1.16dB E_b/N₀ gains compared with reference methods when miss alarm rate reaches 10^-3.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.134-139
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• 1994

In this paper the comparison between the neural networks and traditional approaches as system identification method are considered. Two model structures of neural networks are the state space model and the input output model neural networks. The traditional methods are the AutoRegressive eXogeneous Input model and the Nonlinear AutoRegressive eXogeneous Input model. The examples considered do not represent any physical system, no a priori knowledge concerning their structure has been used in the identification process. Testing inputs for comparison are the sinusoidal, ramp and the noise ramp.