• 대한한의진단학회지
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• 제22권1호
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• pp.1-10
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• 2018

Objectives The purpose of this study is to compare the representative differential diagnosis methods of blood stasis pattern used in Korea, China and Japan, and then to characterize each diagnostic method. Methods Through the journal databases, we have selected representative tools that were developed for differential diagnosis of blood stasis pattern in Korea, China and Japan. In order to characterize the selected check-lists or questionnaires, we investigated the number of items, contents, score calculation method, internal consistency, and accuracy of each selected tool. Results A total of four diagnostic tools were finally selected; quantitative diagnosis scale of blood stasis syndrome (QDSBSS), diagnostic criteria for blood stasis (DCBS), blood stasis questionnaire (BSQ), and blood stasis syndrome questionnaire (BSSQ). The key points in the differential diagnosis for blood stasis were different for each of the diagnostic tool. The key point was oral mucosa (including tongue) status in the QDSBSS. Meanwhile it was abdominal pain/resistance in the DCBS, and general pain in the BSQ. Accuracy of the QDSBSS, the BSQ and the BSSQ were powerful but all of them was not generalized. Conclusions Therefore, it is desirable to select and apply a plurality of appropriate tools according to the characteristics of the blood stasis patients.

• 동력기계공학회지
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• 제9권4호
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• pp.187-193
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• 2005

In this paper, we proposes a man-machine interface design for fault diagnosis system with inter-node search method in a Petri net model. First, complicated fault cases are modeled as the Petri net graph expressions. Next, to find out causes of the faults on which we focus, a Petri net model is analyzed using the backward reasoning of transition-invariance in the Petri net. In this step, the inter-node search method algorithm is applied to the Petri net model for reducing the range of sources in faults. Finally, the proposed method is applied to a fault diagnosis of a refrigeration system to confirm the validity of the proposed method.

• 대한한의학원전학회지
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• 제31권3호
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• pp.33-58
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• 2018

Objectives : Literatures related to Bianque are studied to discover the path of development and the impact of Bianque school's pulse diagnosis system. Methods : Texts regarding Bianque were searched in history books such as Shiji and Zhanguoce, and medical texts such as the medical books of Mawangdui Han Tomb, Huangdineijng, Maijing, and Qianjinyifang to understand how the Bianque school's pulse diagnosis system was developed. Results : 1. Bianque school's pulse diagnosis system was used to inspect the distribution pattern of blood vessels and discover the location of the disease including the palpatation realm such as only hard or only fall. 2. The system of inspection was created when the diagnosis method that uses the color of the pulse by using the color of blood vessels was added to the diagnostic method of pulse condition. 3. Adding the concept of pulse to the visual information that derives from pulse condition becomes pulsation. This is a diagnostic method that falls under the realm of palpation, and it was used to discover the location of disease. 4. The qi of pulse is motor that induces pulse, and this concept is used in order to understand how normal and abnormal pulsations appear, and to treat the circulation disorder of qi and blood. 5. Cubit skin examination is a method that comprehensively take into account the upper arm skin's cold and heat, slippery and roughness, and relax and tension state. This method was used together with other diagnostic methods. As described above, it seems that the diagnostic method with blood vessels used by Bianque school seems to have developed from Bianque's special inspection ability to the stage where it uses palpation, and then to the stage of cubit skin examination which uses both palpation and inspection.

• Journal of Animal Science and Technology
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• 제65권2호
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• pp.365-376
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• 2023

Pig breeding management directly contributes to the profitability of pig farms, and pregnancy diagnosis is an important factor in breeding management. Therefore, the need to diagnose pregnancy in sows is emphasized, and various studies have been conducted in this area. We propose a computer-aided diagnosis system to assist livestock farmers to diagnose sow pregnancy through ultrasound. Methods for diagnosing pregnancy in sows through ultrasound include the Doppler method, which measures the heart rate and pulse status, and the echo method, which diagnoses by amplitude depth technique. We propose a method that uses deep learning algorithms on ultrasonography, which is part of the echo method. As deep learning-based classification algorithms, Inception-v4, Xception, and EfficientNetV2 were used and compared to find the optimal algorithm for pregnancy diagnosis in sows. Gaussian and speckle noises were added to the ultrasound images according to the characteristics of the ultrasonography, which is easily affected by noise from the surrounding environments. Both the original and noise added ultrasound images of sows were tested together to determine the suitability of the proposed method on farms. The pregnancy diagnosis performance on the original ultrasound images achieved 0.99 in accuracy in the highest case and on the ultrasound images with noises, the performance achieved 0.98 in accuracy. The diagnosis performance achieved 0.96 in accuracy even when the intensity of noise was strong, proving its robustness against noise.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.272-275
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• 1992

A novel fault diagnosis method based on likelihood decomposition is proposed for linear stochastic systems described by autoregressive (AR) model. Assuming that at some time instant .tau. the fault of one of the following two types is occurs: innovation fault (actuator fault); and observation fault (sensor fault), the log-likelihood function is decomposed into two components based on the observations before and after .tau., respectively, Then, the type of the fault is determined by comparing the log-likelihoods corresponding two types of faults. Numerical examples demonstrate the usefulness of the proposed diagnosis method.

• 전기학회논문지
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• 제56권11호
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• pp.2051-2057
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• 2007

In Oriental medicine, the status of a tongue is the important indicator to diagnose one's health like physiological and clinicopathological changes of inner parts of the body. The method of tongue diagnosis is not only convenient but also non-invasive and widely used in Oriental medicine. However, tongue diagnosis is affected by examination circumstances a lot like a light source, patient's posture and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue is inevitable but difficult since the colors of a tongue, lips and skin in a mouth are similar. The proposed method includes preprocessing, graph-based over-segmentation, detecting positions with a local minimum over shading, detecting edge with color difference and estimating edge geometry from the probable structure of a tongue, where preprocessing performs down-sampling to reduce computation time, histogram equalization and edge enhancement. A tongue was segmented from a face image with a tongue from a digital tongue diagnosis system by the proposed method. According to three oriental medical doctors' evaluation, it produced the segmented region to include effective information and exclude a non-tongue region. It can be used to make an objective and standardized diagnosis.

• 한국해양공학회지
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• 제15권4호
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• pp.101-107
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• 2001

This paper describes a fault diagnosis method by a T-invariance of Petri Net (PN). First, a complicated fault system with some failure is modeled into a PN graphic expressions. Next, the PN model is analyzed by using the backward chaining of T-invariance to find out causes of the faults. In this step, an inter-node search technique which is suggested in this paper is applied for reducing searching area in the fault system. Also, a novel idea to compose incidence matrices which have different dimension each other in PN model is proposed. As the new knowledges which is discovered newly about faults can be added easily to conventional systems, the diagnosis system will be very flexible. Finally, the proposed method is applied to the automobile fault diagnosis system to confirm the validity of the method.

• 대한한의진단학회지
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• 제10권1호
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• pp.141-152
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• 2006

Background and Objectives: The diagnosis of flood stasis pattern is one of the most important methods in oriental medicine. The aim of this study is to Develop clinically useful questionaire of Blood stasis(瘀血) and quantitative analysis. Methods: The questionnaire including symptoms and signs for diagnosis of Blood stasis pattern is studied by delphi method and statistical analysis. Result: By the delphi method and statistical analysis, 14 Items of questionnaries are choosen. Conclusion: Further research is necessary for improvement reliabilities and validities of the questionnaires of Blood stasis pattern.

• Smart Structures and Systems
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• 제6권4호
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• pp.389-403
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• 2010

By using image recognition technology, this paper presents a new fault diagnosis method for rotating machinery with artificial immune algorithm. This method focuses on the vibration state parameter image. The main contribution of this paper is as follows: firstly, 3-D spectrum is created with raw vibrating signals. Secondly, feature information in the state parameter image of rotating machinery is extracted by using Wavelet Packet transformation. Finally, artificial immune algorithm is adopted to diagnose rotating machinery fault. On the modeling of 600MW turbine experimental bench, rotor's normal rate, fault of unbalance, misalignment and bearing pedestal looseness are being examined. It's demonstrated from the diagnosis example of rotating machinery that the proposed method can improve the accuracy rate and diagnosis system robust quality effectively.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.963-968
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• 2003

The continuous process systems usually consists of various components: driven rollers. idle rolls, load-cell and so on. Even a simple fault in a single component in the line may cause a catastrophic damage on the final products. Therefore it is absolutely necessary to diagnosis the components of the continuous systems. In this paper, an adaptive eccentricity compensation method is presented. And a new diagnosis method for transverse roll shape defects on rolling process is developed. The new method was induced from analyzing the rolling mechanism by using rolling force model, tension model, Hitchcock's equation, and measured delivery thickness of materials etc. Computer simulation results also show that the proposed diagnosis methods is very effective in the diagnosis of 3-D roll shape