• Journal of Embryo Transfer
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• v.11 no.1
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• pp.85-91
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• 1996

Plasma progesterone concentrations were measured by using radjoimmunoassay for early diagnosis of pregnancy in Cheju-native mares. A total of 226 pony mares were examined for pregnancy during breeding and non breeding seasons. Plasma progesterone levels 20~23 days after the onset of oestrus were 4.67+O.67ng /rnl and O.55+O.O4ng /ml for mares becornrning pregnant and not pregnant after the estrus, respectively, and there was a significant differences (p<0.01) between the two groups. Progesterone concentration of pregnant mares gradually increased in 30 days andreached a peak (10.3ng /ml) during the third month of gestation. However, the concentration decresed to the base line (1.llng /rnl) at 7 months and gradually increased again as foaling approached (2.lng /ml). Early diagnosis for pregnancy of Cheju mares by progesterone level at 20~23 days after onset of oestrus was 88% accurate when 4.6ng /ml was used to classify mares as pregnancy and below 1.3ng /rnl was used to determine nonpregnant mares. However, the accuracy of the diagnosis was improved to 96% when a progesterone level of above 2ng /mi was used to classify mares for pregnancy. Diagnosis for pregnancy was 69.6% accurate when mares were classified as pregnancy by horse owners during breeding season. The progesterone levels of pregnant and non-pregnant mares during non-breeding season varied greatly between individual animals, Plasma progesterone levels of pregnant animals ranged from 3.5ng /mi to above 6.2ng /mi whereas similar values were observed in non-pregnant animals. Radioirnrnunoassay technicjues can be applied for the early pregnant diagnosis of Cheju native mares when progesterone levels are measured during the early gestation period (18~23 days after onset of oestrus). However, progesterone concentration of mares in non-breeding season is conisidered unsuitable as a indicator of pregnant diagnosis.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.189-195
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• 2022

The Korean government has made it a major national task to contribute to the revitalization of the creative economy, such as creating new industries and jobs, by encouraging the private opening and utilization of public data. The Korean government is promoting public data quality improvement through activities such as conducting public data quality management level evaluation for high-quality public data retention. However, there is a difference in diagnosis results depending on the understanding and data expertise of users of the public data quality diagnosis tool. Therefore, it is difficult to ensure the accuracy of the diagnosis results. This paper proposes a public data quality management level evaluation domain rule mapping model applicable to validation diagnosis among the data quality diagnosis standards. This increases the stability and accuracy of public data quality diagnosis.

• Journal of Digital Convergence
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• v.9 no.2
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• pp.141-152
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• 2011

The data center has become an increasingly important part of most business operations. An increasing demand for computation has led to increasing industry energy consumption. Therefore, higher-than-normal rates of energy efficiency have become a core issue in the life cycle of data center. In this paper, we proposed the framework of level diagnosis for green data centre that can be used to diagnose the levels of capability maturity model. This framework contains the 5 key areas such as construction, air-conditioning, electricity, information technology, organization and indicators that can be applied as basic level diagnosis guide for green data center.

• Journal of Oral Medicine and Pain
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• v.17 no.1
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• pp.19-29
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• 1992

Fear at the dental treatment is a problem not only for patient but for dentist as well, because the anxious patient often require more item, even for simple procedures. The anxiety level in response to dental procedures was evaluated through a simple questionnaire, Corahs, DAS. 783 female and 790 male outpatients were studied at the Dept. of Oral Diagnosis, PNUH from 1988 to 1989. The obtained results were as follows : 1. The anxiety level in female was significantly higher than that in male, and patients in 10s and 30s showed more anxious than those in other groups. 2. Housewives and pupils revealed higher level of anxiety. 3. The anxiety level in 524 (ICD) was the highest in all diseases, inspite of no difference among various diseases. 4. There was significantly higher level of anxiety in the patient of Orthodontics and Pedodontics than those of other departments. 5. There was no difference in anxiety level between acute and chronic group. 6. Dental phobes were more in female than in male.

• Biomedical Science Letters
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• v.9 no.1
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• pp.29-36
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• 2003

Progesterone levels in the blood plasma or skim milk of cows are considered to be very useful indicator fur the detection of estrus cycle and early pregnancy diagnosis. During 13 to 14 days after estrus the level of progesterone in plasma or skim milk were not different between the inseminated arid non-inseminated cows. In the pregnant cows the peak level of progesterone reached on 14th day after artificial insemination (AI), but in the absence of conceptus the level declines after the 14th day slowly, and then very rapidly towards the basal level after the 17th day. This low level persists about 4 days, including those of estrus and ovulation a highly characteristic pattern which differs so markedly from that in the pregnant cows. Progesterone levels in blood plasma or skim milk can provided a reliable diagnosis of early pregnancy and monitoring ovarian activity in cows. The mean $\pm$ standard deviation of milk urea nitrogen(MUN) and protein concentration in the cows at 9 herds were 17.7$\pm$2.35 mg/dL and 3.2$\pm$0.17%, respectively. The days of nonpregnant after parturition was shorter in the cows in which the lower level of MUN than higher level of MUN concentration.

• Journal of Digital Convergence
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• v.3 no.2
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• pp.159-186
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• 2005

Local decentralization and administration innovation is the most important problem the government confronted with at the present time. So local government must be follow them. Therefore, local government need to prepare whole process on this. From now on, local government must be develop own innovation model and strategy then, forward with innovation plan classified by step. This study reviewed the significance and necessary of local administration innovation and examined the necessary of level diagnosis of local administration innovation. And We diagnosed administration innovation of C province, then analyzed the result and proposed Altitude plans of administration innovation.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.54 no.5
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• pp.206-212
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• 2005

In this paper, criterion and algorithm for on-line dissolved gas of a Power transformer are studied. For the initial diagnosis of a power transformer, the on-line dissolved gas analysis is one of the most important and acceptable item to preventively diagnose a power transformer. But the criterion and algorithm of this item are not established yet in korea. In this paper, criterion and alarm level of the on-line dissolved gas analysis are based on the analysis of on-line data of operating transformers, Korea industrial standard and operation manual for a power transformer as well as accumulated data of the preventive diagnosis systems which have been operated at nine substations of Korea Electric Power Co.(KEPCO) since 1997, Therefore, the criterion and alarm level proposed in this paper are to be well suitable and are adaptable for the domestic operational environments and conditions of the power transformer. Considering that the conventional diagnosis system is capable only of accumulating and monitoring data of the power transformer operation, the criteria and the algorithms make it possible to accomplish an ultimate goal of the preventive diagnosis system. It is expected, therefore, that they will have a beneficial effect on broad applications of the preventive diagnosis system and the achievement of manless substation system in the future.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.13 no.9
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• pp.703-712
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• 2003

This paper suggests a fuzzy expert system for fault diagnosis of rotating machinery, based on modulated databases. In the proposed system, alarm and trip levels are set based on ISO, considering operating condition, machinery type and maintenance history. Input signals for diagnosis, such as sub-and super-harmonic components of vibration and mean value, are normalized from 0 to 1 under the threshold level and otherwise equal to one so that chronic faults slightly below the threshold level can be monitored. The database for diagnosis consists of two modules: the well-known Sohre's chart module and if-then type rules. The Sohre's chart is utilized for the most common problems of high-speed turbomachinery, while the rule-based module, which was collected from many papers and reports, is for diagnosing peculiar faults according to the type of machinery. To infer the results from two modules, a fuzzy operation of Yager sum was adopted. Using a simulator constructed in laboratory, experimental verification was performed for the cases of unbalance and resonance which were intended. The experimental results show that the proposed fuzzy expert system has feasibility in practical diagnosis of rotating machinery.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.05a
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• pp.303-312
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• 2003

This paper suggests a fuzzy expert system for fault diagnosis of rotating machinery, based on modulated databases. In the proposed system, alarm and trip levels are set based on ISO, considering operating condition, machinery type and maintenance history. Input signals for diagnosis, such as sub- and super-harmonic components of vibration and mean value, are normalized from 0 to 1 under the threshold level and otherwise equal to one so that chronic faults slightly below the threshold level can be monitored. The database for diagnosis consists of two modules: the well-known Sohre's chart module and if-then type rules. The Sohre's chart is utilized for the most common problems of high-speed turbomachinery, while the rule-based module, which was collected from many papers and reports, is for diagnosing peculiar faults according to the type of machinery. To infer the results from two modules, a fuzzy operation of Yager sum was adopted. Using a simulator constructed in laboratory, experimental verification was performed for the cases of resonance and housing looseness which were intended. The experimental results show that the proposed fuzzy expert system has feasibility in practical diagnosis of rotating machinery.

• Journal of Microbiology
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• v.43 no.spc1
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• pp.65-84
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• 2005

Invasive candidiasis is associated with high morbidity and mortality. Clinical diagnosis is complicated by a lack of specific clinical signs and symptoms of disease. Laboratory diagnosis is also complex because circulating antibodies to Candida species may occur in normal individuals as the result of commensal colonization of mucosal surfaces thereby reducing the usefulness of antibody detection for the diagnosis of this disease. In addition, Candida species antigens are often rapidly cleared from the circulation so that antigen detection tests often lack the desired level of sensitivity. Microbiological confirmation is difficult because blood cultures can be negative in up to 50% of autopsy-proven cases of deep-seated candidiasis or may only become positive late in the infection. Positive cultures from urine or mucosal surfaces do not necessarily indicate invasive disease although can occur during systemic infection. Furthermore, differences in the virulence and in the susceptibility of the various Candida species to antifungal drugs make identification to the species level important for clinical management. Newer molecular biological tests have generated interest but are not yet standardized or readily available in most clinical laboratory settings nor have they been validated in large clinical trials. Laboratory surveillance of at-risk patients could result in earlier initiation of antifungal therapy if sensitive and specific diagnostic tests, which are also cost effective, become available. This review will compare diagnostic tests currently in use as well as those under development by describing their assets and limitations for the diagnosis of invasive candidiasis.