• 대한상한금궤의학회지
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• v.9 no.1
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• pp.115-123
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• 2017

Objective : The purpose of this paper is to report the improvement of patient with Chronic Fatigue Syndrome(CFS) treated by herb medication based on Shanghanlun disease pattern identification diagnostic system. Methods : According to 'Disease Pattern Identification Diagnostic System based on Shanghanlun Provisions', the patient was diagnosed with Eumyangyeokchahunobok-byung, number 393 provision, and took Jisilchija-tang herb medication for 75days. The changing symptom of chronic fatigue syndrome was estimated by QOL-CFS(Chalder Fatigue Scale) and VAS(Visual Analogue Scale). Results : The QOL-CFS changed 21 to 8 and VAS changed 10 to 1. Conclusions : It is existing theory that Eumyangyeokchahunobok-byung is caused by 'having too much sex relation'. But the author diagnosed Eumyangyeokchahunobok-byung as 'Symptoms worsen when awaken at night, and sleep at day caused by poor sleep pattern' according to the palaeography about shanghanlun, and got a good results.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.203-207
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• 2006

Nowadays, Cars are continuing to grow at an alarming rate but they also cause many problems such as traffic accident, pollutions and so on. One of the most effective methods that prevent traffic accidents is the use of traffic monitoring systems, which are already widely used in many countries. The monitoring system is beginning to be used in domestic recently. An intelligent monitoring system generates photo images of cars as well as identifies cars by recognizing their plates. That is, the system automatically recognizes characters of vehicle plates. An automatic vehicle plate recognition consists of two main module: a vehicle plate locating module and a vehicle plate number identification module. We study for a vehicle plate number identification module in this paper. We use image preprocessing, feature extraction, multi-layer neural networks for recognizing characters of vehicle plates and we present a feature-comparison method for improving the performance of vehicle plate number identification module. In the experiment on identifying vehicle plate number, 300 images taken from various scenes were used. Of which, 8 images have been failed to identify vehicle plate number and the overall rate of success for our vehicle plate recognition algorithm is 98%.

• 대한상한금궤의학회지
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• v.10 no.1
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• pp.115-124
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• 2018

Objective : The purpose of this paper is to report the improvements of a patient who has suffered from aftereffects following stroke such as dysgraphia and articulation disorder, which is treated by herbal medication based on Shanghanlun disease pattern identification diagnostic system. Methods : According to 'Disease Pattern Identification Diagnostic System based on Shanghanlun Provisions', the patient was diagnosed as Taeyang-byung Gyeolhyung and number 138 provision, and was administered Sohamhyung-tang for 90 days. We recorded the progress of improvements based on the patient's statement and documented the patient's writing Results : The patient can write the letters such as U, 2, ㄹ,ㅇ more clearly and become confident on both writing and speaking. Conclusions : This case shows the effects of Sohamhyung-tang on aftereffects following stroke such as dysgraphia and articulation disorder. It was induced according to the 'Disease Pattern Identification Diagnostic System based on Shanghanlun Provisions' so that it suggest a potential interpretation, which is different with it of the text books Herbal Formula Science and Sanghallonjeonghae, on the provision no. 138. Also the usage of Sohamhyung-tang in this case may support the way far from the diagnosis of oriental neurological medicine, which explain the pathology of stroke as fire-heat(火熱), dampness-phlegm(濕痰), static blood(瘀血) and dual deficiency of qi and blood(氣血兩虛).

• 대한상한금궤의학회지
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• v.13 no.1
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• pp.165-178
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• 2021

Objective: This study aimed to report the improvement of a patient with chronic insomnia who was treated with Baekho-tang based on the Shanghanlun disease pattern identification diagnostic system (DPIDS). Methods: The patient's symptoms were checked on days 19, 37, and 52 after taking Baekho-tang. Chronic insomnia was evaluated by the degree of insomnia, hours spent asleep, and the number of times the patient woke up during the night, which were all assessed by a visual analog scale (VAS) with the Leeds Sleep Evaluation Questionnaire. In addition, new clinical implications for the interpretation of the 350th Shanghanlun provision were reviewed. Results: After administering Baekho-tang for 52 days, based on the 350th Shanghanlun provision according to the DPIDS, the VAS score decreased from 10 to 1. Conclusions: The patient recovered from chronic insomnia. This case report suggests that the words "滑," "厥," and "裏" in the 350th provision of Shanghanlun mean physical and psychological causes of insomnia. In addition, Baekho-tang had a therapeutic effect in improving the chief complaint of the patient. Therefore, the interpretation of the 350th Shanghanlun provision requires a new definition that includes the patient's lifestyle, family conflict, and past history of the patient as a cause of chronic insomnia.

• 대한상한금궤의학회지
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• v.13 no.1
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• pp.145-153
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• 2021

Objective : This study aimed to report the improvement of a patient with anorexia by treatment with Jinmu-tang (Hyunmu-tang) based on the disease pattern identification diagnostic system (DPIDS) of the Shanghanlun provisions. Methods : We evaluated the progress of symptoms, patient compliance, and presence of side effects after the patient was administered Jinmu-tang. The clinical response was estimated according to the number of meals a day, the size of meals, the number of complaints of abdominal pain in a week, and a Likert scale. Results : According to the DPIDS, the patient was diagnosed according to provision 316 with soyinbing. After administration of Jinmu-tang for 45 days, the number of meals a day and the size of meals increased, the number of complaints of abdominal pain in a week decreased, and the Likert scale score decreased from 3 to 0. Conclusions : This case report suggests that the word "腹痛" (abdominal pain) in the 316th Shanghanlun provision indicates anxiety about abdominal pain, which affected anorexia in this case.

• Journal of Biomedical Engineering Research
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• v.28 no.4
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• pp.494-502
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• 2007

Ubiquitous location based services (u-LBS) will be interested to an important services. They can easily recognize object position at anytime, anywhere. At present, many researchers are making a study of the position recognition and tracking. This paper consists of postion recognition and user identification system. The position recognition is based on location under services (LBS) using a signal strength map, a database is previously made use of empirical measured received signal strength indicator (RSSI). The user identification system automatically controls instruments which is located in home. Moreover users are able to measures body signal freely. We implemented the multi-hop routing method using the Star-Mesh networks. Also, we use the sensor devices which are satisfied with the IEEE 802.15.4 specification. The used devices are the Nano-24 modules in Octacomm Co. Ltd. A RSSI is very important factor in position recognition analysis. It makes use of the way that decides position recognition and user identification in narrow indoor space. In experiments, we can analyze properties of the RSSI, draw the parameter about position recognition. The experimental result is that RSSI value is attenuated according to increasing distances. It also derives property of the radio frequency (RF) signal. Moreover, we express the monitoring program using the Microsoft C#. Finally, the proposed methods are expected to protect a sudden death and an accident in home.

• Smart Structures and Systems
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• v.16 no.1
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• pp.163-181
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• 2015

This research investigates the structural health monitoring of nonlinear structures after a major seismic event. It considers the identification of flag-shaped or pinched hysteresis behavior in response to structures as a more general case of a normal hysteresis curve without pinching. The method is based on the overall least squares methods and the log likelihood ratio test. In particular, the structural response is divided into different loading and unloading sub-half cycles. The overall least squares analysis is first implemented to obtain the minimum residual mean square estimates of structural parameters for each sub-half cycle with the number of segments assumed. The log likelihood ratio test is used to assess the likelihood of these nonlinear segments being true representations in the presence of noise and model error. The resulting regression coefficients for identified segmented regression models are finally used to obtain stiffness, yielding deformation and energy dissipation parameters. The performance of the method is illustrated using a single degree of freedom system and a suite of 20 earthquake records. RMS noise of 5%, 10%, 15% and 20% is added to the response data to assess the robustness of the identification routine. The proposed method is computationally efficient and accurate in identifying the damage parameters within 10% average of the known values even with 20% added noise. The method requires no user input and could thus be automated and performed in real-time for each sub-half cycle, with results available effectively immediately after an event as well as during an event, if required.

• The Journal of Korean Obstetrics and Gynecology
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• v.34 no.4
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• pp.78-96
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• 2021

Objectives: It is a statistical study to examine the data of CaPSPI (Diagnostic System for Climacteric and Postmenopausal Syndrome Pattern Identification), developed for diagnosis of menopause disorders and to record the status of treatment of it. Methods: From November 1, 2020 to June 19, 2021, 36 cases of data of 33 respondents of the CaPSPI were analyzed. For the use of the basic data of the clinical menopausal disorder, we investigated frequency of menopausal symptoms and the difference between them depending on the period of menopause, and the presentation of usage prescriptions. And the diagnostic results for three kinds' diagnosis [for examination (D1), for treatment (D2), by doctors (D3)] were compared. The diagnostic consistency of D1 and D3 and the statistical significance between DT and disease elements (證素) was investigated. Results: 1. Hot flush was the highest in the symptom survey of the menopause that the subjects complained of, followed by insomnia. There was no significant difference in symptom expression according to menopausal period. 2. The diagnostic consistency of D1 and D2 showed significant diagnostic consistency only in liver depression, and the diagnostic consistency of D1 and D3 showed significant consistency in liver depression and Dual Deficiency of Heart and Spleen. 3. D3' diagnosis and disease elements had statistical significance for cases of P<0.1 was found to be related to the theory of oriental medicine. Conclusions: It is needed to continue to accumulate diagnosis and treatment results through CaPSPI in the future to strengthen the basis for patten identification and treatment of menopause disorders.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.4
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• pp.233-242
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• 2023

The unscented Kalman filter (UKF), which is widely used to estimate the states of nonlinear dynamic systems, can be improved to realize robust system identification by using multiple sigma-point sets. When using Kalman filter methods for system identification, artificial noises must be appropriately selected to achieve optimal estimation performance. Additionally, an appropriate scaling factor for the sigma-points must be selected to capture the nonlinearity of the state-space model. This study entailed the use of Bouc-Wen hysteresis model to examine the nonlinear behavior of a single-degree-of-freedom oscillator. On the basis of the effects of the selected artificial noises and scaling factor, a new UKF method using multiple sigma-point sets was devised for improved robustness of the estimation over various signal-to-noise-ratio values. The results demonstrate that the proposed method can accurately track nonlinear system states even when the measurement noise levels are high, while being robust to the selection of artificial noise levels.

• Journal of the Korea Institute of Military Science and Technology
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• v.10 no.4
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• pp.105-115
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• 2007

This study identifies technical barriers and trends on Radio Frequency Identification(RFID) applications for military force, and investigates technical requirements for the RFID implementation on military information systems, based on the preliminary research results from the introductory RFID applications on Ammunition Information System(AIS). We first obtain technical requirements using the Quality Function Deployment(QFD) methods, and identify the areas for research and developments. Furthermore, based on the survey results from military experts and users, we provide the potential application areas for military RFID implementation. Conversely, a technology and research roadmap for RFID in the military system is developed.