The aims of these study were to diagnose early pregnancy and reproductive disorders by using progesterone concentration and ultrasonography. The measurement of blood progesterone (P) concentration was conducted to diagnose pregnancy and to detect corpus luteum (CL) or evaluate disorder of CLs. As a result, the incidence rates of reproductive disorders were as follows : SH and EED (41.9%), inacitve ovaries (32.6%), follicullar cyst (9.3%), PCL (7.0%), endometritis (4.7%), pyometra (2.3%) and luteal cyst (2.3%). 61 Cows having Pconcentration 1.0 ng/ml(at the insemination) were increased to 1.0 ng/ml 6day after insemination. 50 cows among 61 cows were diagnosed pregnant. 8 cows among 13 HanWoos having Pconcentration 1.0 ng/ml at the insemination and 1.0 ng/mnl 6 day after insemination had non-ovulatory estrus and the others had Pconcentration 1.0 ng/ml at the insemination and 1.0 ng/ml 6 day after insemination, which was the error of estrus detection. All 13 cows were diagnosed non-pregnant. 47 cows diagnosed pregnant after insemination of Pconcentration 3.0 ng/ml were examined by ultrasonography at 30 day post-insemination. As a result, 41 cows were diagnosed pregnant (87.2%) but 14 cows having Pconcentration 3.0 ng/ml at 21 day after insemination was diagnosed to non-pregnancy. Calving intervals by surveying 100 cows were as follows 11~12 months (20%), 12~13 months (36%), 13~14 months (19%), 14 months (25%), respectively. In conclusion, hormone and ultrasonography help to detect reproductive disorders exactly and diagnose early pregnancy. This study suggest that diagnosis of early pregnancy and reproductive disorder by blood Pconcentration and ultrasonography improve reproduction management of HanWoo.

The ovaries of 178 Holstein heifers or cows (heifer; 41, 1 parity; 72, 2 parity; 65) on Day 6 or 7 (Day 0=day of estrus) were examined by transrectal ultrasonography. Diameter of corpus luteum (CL) and large follicle ( 10 mm), and luteal tissue area were determined by ultrasound system with a 5 MHB rectal probe. Blood samples were taken to progesterone analysis. After selection of recipients, frozen Holstein embryos were thawed and directly transferred to recipients non-surgically. The diameter of CL and luteal tissue area was greater (P<0.01) on Day 7 than on Day 6 in heifers, 1 parity or 2 parity cows, respectively, although progesterone concentrations were not different. The presence of fluid-filled luteal cavitied or multiple CL (2 or more) did not affect serum progesterone concentration. A large follicles were observed in 67.4% of heifers or cows and the average diameter was 14.1 mm. Greater luteal tissue area attributed higher pregnancy in heifers, but not in cows, although there were no difference on pregnancy rate according to progesterone concentration in heifers or cows. The pregnancy rate of recipients contained a large follicle at embryo transfer was lower than that of recipients not contained. These results show ultrasonic assessment of ovaries in Holstein recipients is a reliable tool to determine the follicle and CL for recipient selection.

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of Industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related Industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

This study deals with the application of knowledge engineering and a methodology for the assessment and measurement of reliability, availability, maintainability, and safety of industrial systems using fault-tree representation. A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient information concerning the relative frequence of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations. The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

This study deals with the application of knowledge-engineering and a methodology for the assessment & measurement of reliability, availability, maintainability, and safety of industrial systems using fault-tree representation. A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach(insufficient information concerning the relative frequences of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations. The purpose of this Is to describe the knowlwdge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

The fault diagnosis is a systematic and unified method to find based on the observing data resulting in noises. This paper presents the fault prediction and diagnosis using fuzzy expert system technique to manipulate the uncertainties efficiently in predi

글루코우즈 용액의 농도를 측정하기 위해 다층 젤라틴 필름으로 형성된 진단막을 제조하였다 글루코우즈의 최대 확산속도가 글루코우즈의 농도가 증가함에 따라 직선적으로 증가함으로 알 수 있었다. 혈액속에 존재할 가능성이 있는 화합물을 글루코우즈와 환원효소들의 반응에 미치는 영향을 조사하였다 그 결과 대부분의 화합물들이 글루코유즈의 최대확산속도에 큰 영향을 미치지 않는 것을 알 수 있었다.

본 논문에서는 온실재배 토마토에서 수분 상태를 고려한 정밀한 관개를 위하여 경직경의 변화에 근거한 자동관개 시스템을 구현하고자 하였으며 이와 같은 작물적 지표에 의한 관개제어시스템을 포트재배(closed feeding system) 조건과 포장재배 조건의 재배에 적용하여 토마토의 수량과 과실의 품질에 대하여 그 적합도를 평가하였다. 작물적 지표에 의한 관개 자동화를 위하여 경직경 측정 센서를 이용하여 측정한 경직경 일증가량(DI)를 관개 개시점의 결정에 이용하고, 동시에 이때의 관개량을 결정하기 위하여 토마토 증산모델을 적용한 마이크로 컴퓨터 자동관개 시스템을 구현하고 그 성능을 평가하였는데, 이 자동 관개 시스템을 이용하여 관개처리한 결과 포트재배에서는 토양수분에 의한 관개방식보다 수량 및 과실의 당도가 증가하였으나 포장조건에서는 관개방법간에 큰 차이가 없었다. 따라서 경직경 증가에 근거한 관개 개시점을 판단하고 관계량을 결정하는 증산모델을 사용하는 컴퓨터 시스템은 특히 closed feeding System에서 유용하며 토양조건에서는 토양의 상태, 작물의 반응 등을 고려하여 적용하여야 할 것으로 판단되었다.