• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.287-291
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• 2013

Fault Diagnosis is a process of detecting and isolating faults in a system. On demanding for safety and high reliability systems make it important for some reasons such as economical and environmental incentives. Especially embedded technology and IT technology combined with precise sensing techniques has been doing well developed and applied to fault diagnosis and prognosis in industrial systems like as automotive, ship, heavy industry and aerospace as well. This paper, as an empirical application of diesel engine, presents a method how to get raw data from physical systems, what to consider for successful implementation and which theoretic mathematical models should be applied. In a sense of system level Adaptive Filtering (we call Modified Kalman Filter) and a unit of part level Hidden Markov Process was developed and applied.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.2
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• pp.247-252
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• 2006

Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn until signal is growing to abnormal state that the signal is over or under the set point. therefore cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without any additional sensors. By analyzing the data with high correlation coefficient(CC), correlation level of interactive data can be defined. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC. FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2005.06a
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• pp.281-286
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• 2005

Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn while signal is growing to abnormal state until the signal is over or under the set point and cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without additional sensors. By analyzing this data having high correlation coefficient(CC), correlation level of interactive data can be understood. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC, FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.58-64
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• 2022

Breast ultrasonic reading is critical as a primary screening test for the early diagnosis of breast cancer. However, breast ultrasound examinations show significant differences in diagnosis based on the difference in image quality according to the ultrasonic equipment, experience, and proficiency of the examiner. Accordingly, studies are being actively conducted to analyze the texture characteristics of normal breast tissue, positive tumors, and malignant tumors using breast ultrasonography and to use them for computer-assisted diagnosis. In this study, breast ultrasonography was conducted to select 247 ultrasound images of 71 normal breast tissues, 87 fibroadenomas among benign tumors, and 89 malignant tumors. The selected images were calculated using a statistical method with 21 feature parameters extracted using the gray level co-occurrence matrix algorithm, and classified as normal breast tissue, benign tumor, and malignancy. In addition, we proposed five feature parameters that are available for computer-aided diagnosis of breast cancer classification. The average classification rate for normal breast tissue, benign tumors, and malignant tumors, using this feature parameter, was 82.8%.

• Journal of Korean society of Dental Hygiene
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• v.13 no.3
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• pp.525-534
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• 2013

Objectives : This study aimed to improve school health program by investigation of several variables through educational diagnostic factors which influence the level of subjective oral health perception and DMFT of students on the basis of PRECEDE model. Methods : A total of 286 high school students in Busan completed the self-reported questionnaire from September 3 to 28 in 2012. Results : 1. Social and epidemiologic diagnosis suggested that the level of subjective oral health perception of male students was not better than that of female students and DMFT number of the male was more than that of the female(p<0.001)(p<0.001). 2. Oral health diagnosis indicated that once a day tooth brushing group showed lower level of oral health perception(p<0.001) and high DMFT number(p<0.001). 3. Predisposing factor of educational diagnosis implied that more than 4 times a day snack intake group and sweet diet and soda friendly group showed lower level of oral health perception and high DMFT number(p<0.001). 4. Tooth brushing of the reinforcing factors had the most important effect on the level of oral health perception and the number of dental caries. Daily snack intake was the most important effect on DMFT number. Conclusions : The informed consent from each family was the important factor in implementing PRECEDE model. School health program improved oral health care. Oral health program can correct the risk oral health behavior in children and adolescents.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.959-964
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• 1993

We developed fault diagnosis fuzzy expert system for ACS(Advanced Control System). ACS is a DCS(Distributed Control System) with advanced control algorithm fault tolerance capabilities, fault diagnosis functions, and so on. Fuzzy expert system developed for an ACS in this paper gives an operator alarm signal depending on the state of process value and manipulated value, and the cause of alarm in real time. Simple experiment result with several rules for the-fault-diagnosis of drum level loop in Seoul-Power-Plant.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.8B
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• pp.701-706
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• 2006

System-level diagnosis plays an important technique for fault detection in multi-processor systems. Efficient diagnosis is very important for real time systems as well as multiprocessor systems. Feng(1) proposed two adaptive diagnosis algorithms HADA and IHADA for hypercube system. The diagnosis cost, measured by diagnosis time and the number of test links, depends on the number and location of the faults. In this paper, we propose an adaptive diagnosis algorithm using the syndrome analysis. This removes unnecessary overhead generated in HADA and IHADA algorithm sand give a better performance compared to Feng's Method.

• Journal of Preventive Medicine and Public Health
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• v.53 no.6
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• pp.439-446
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• 2020

Objectives: This study analyzed the associations of hypertension (HTN) with symptoms and diagnosis of depression by income level among Korean adults. Methods: This study was based on the 2010-2017 Korea National Health and Nutrition Examination Survey data; a total of 29 425 adults (aged 20 years or older) were analyzed. HTN was defined as a systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or use of hypertensive medications. Depression symptoms were evaluated based on a questionnaire about depression-related symptoms. A depression diagnosis was defined based on questionnaire responses indicating that a participant had been diagnosed with depression. Household income was divided into higher or lower income ranges based on the median income of the participants. Multiple logistic regression analyses were performed to assess the associations between HTN and depression symptoms/diagnosis in the higher-income and lower-income groups. Results: In the higher-income group, the odds ratio (OR) for the association between HTN and depression symptoms was 1.15 (95% confidence interval [CI], 0.97 to 1.37), and the OR for the association between HTN and depression diagnosis was 1.41 (95% CI, 1.13 to 1.76). In the lower-income group, the OR for the association between HTN and depression symptoms was 1.18 (95% CI, 1.04 to 1.34), whereas the OR for the association between HTN and depression diagnosis was 0.82 (95% CI, 0.70 to 0.97). Conclusions: The associations of HTN with symptoms and diagnosis of depression differed by income level.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.8793-8796
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• 2014

Objective: To explore the influence of serum vascular endothelial growth factor (VEGF) level on therapeutic outcome and diagnosis/prognostic value in patients with cervical cancer. Materials and Methods: A total of 37 patients diagnosed with cervical cancer by biopsy were selected and treated with concurrent chemoradiotherapy. Double-antibody sandwich enzyme-linked immunosorbent assay (ELISA) was adopted before treatment to assess VEGF levels, and its relationships with clinicopathological features and short-term therapeutic effects were analyzed. Results: The median VEGF level in 37 patients before treatment was 647.15 (393.35~1125.16) pg/mL. Serum VEGF levels in patients aged <50 years, in International Federation of Gynecology and Obstetrics (FIGO) stage IIIa~IVa, with lymph node metastasis and tumor size >4 cm were significantly increased (P<0.05). The complete remission (CR) rate was 48.7% (18/37), partial remission (PR) rate was 35.1% (13/37), stable disease (SD) rate was 13.5% (5/37) and progressive disease (PD) rate was 2.70% (1/37), so the objective remission rate (ORR) after treatment was 83.8% (31/37). Logistic regression analysis showed that tumor size and serum VEGF level before treatment were independent risk factors affecting the therapeutic outcome, and the higher the level of serum VEGF, the worse the prognosis when tumor size>4 cm. Some 56.8% of patients manifested with myelosuppression, 37.8% with leucopenia, 24.3% with thrombocytopenia, 5.41% with diarrhea, 46.0% with nausea and vomiting, 21.6% with hair loss and 8.11% with hepatic and renal injury during the treatment. Conclusions: Serum VEGF level may reflect the degree of malignancy of cervical cancer and predict therapeutic effect, which is of great importance to cancer diagnosis and prognosis.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2085-2089
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• 2013

Background: The purpose of this descriptive study was to investigate attitudes women of towards cervical cancer prevention applications and early diagnosis, and whether or not their hopelessness levels had any influence. Materials and Methods: The present study was carried out in Isparta with a descriptive design. A sample of 251 individuals was recruited from January 2011 through May 2011 in the largest tea garden (restaurant-cafe). The data collection tool consisted of two parts: a "Questionnaire Form" identifying women; and the "Beck Hopelessness Scale". Data were analyzed using the Statistical Package for the Social Sciences (SPSS version 16.0 for Windows for the numerical and percentage distribution, average, standard deviation with the ANOVA and Mann-Whitney tests. Results: Some 70.2 % of the woman indicated that they had not taken the Pap test. There was a significant relationship between the hopelessness level and women believing that they could protect themselves from getting cervical cancer (F=10.11 p=0.00). There was a significant relationship between hopelessness levels and believing whether or not early diagnosis tests are deterministic (F=8.781 p=0.00). Conclusion: Our study concluded that the hopelessness level of women had an effect on their thoughts about cervical cancer prevention and early diagnosis.