• 대한수의학회지
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• 제42권4호
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• pp.485-493
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• 2002

The purpose of this study was to develope a computer program to help with gross diagnosis of protein-energy balance and feeding management practice and with the prediction about the risk possibility of productive disease such as reproductive and metabolic disorders by evaluating fat, protein, and milk urea nitrogen (MUN) from individual cow milk in dairy herd Somatic cell counts also represent the condition of udder health. The principal flow charts of this program was to check on herd management, sampling the composite milk, analysis the milk composition, conversion of data from milking equipment to program, input and analysis of data in program, and report. This program is compatible with window 95/98 system. The major analytical elements of this program were presented as; the profile of herd lactation curve analysis of the test-day milk production level, the distribution of somatic cell count, the fat to protein ratio to evaluate body energy balance, and the interpretation of dietary protein-energy balance by milk protein and MUN contents for individual cows. This program using milk fat, protein, MUN, and somatic cell counts will serve as a monitoring tool for the protein-energy balance and the feeding management practice, and for distribution of mastitis in individual cows. It will also be used to manage the nutritional and reproductive disorders and mastitis at the farm level.

• Fisheries and Aquatic Sciences
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• 제21권9호
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• pp.23.1-23.8
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• 2018

Background: Russian sturgeon (Acipenser gueldenstaedtii) is an emerging candidate species in the Korean aquaculture domain owing to its highly valued caviar. Although the embryonic development of this species was previously described, the complete image data on the morphological differentiation of developing embryos have not been yet fully available. Further, with the viewpoint of larval production in hatchery, the effects of temperature on embryonic viability and the temporal window of hatching event have not been extensively studied. Hence, the objective of this study was to provide a complete set of photographic image data on the embryogenesis and also to examine the effects of incubation temperatures on embryonic viability and hatching event in farm-bred Russian sturgeon. Results: Typical characteristics of embryonic development including uneven, holoblastic cleavages with unequal blastomeres, followed by the formation of germ layer, neurulation, and organogenesis until hatching, were documented. Under different temperature conditions (12, 16, or $20^{\circ}C$), viability of embryos incubated at $12^{\circ}C$ was significantly lower as relative to those of 16 and $20^{\circ}C$ incubated embryos. Hatchability of embryos was higher, and the timing of hatching event was more synchronized at $20^{\circ}C$ than at 12 and $16^{\circ}C$. Conclusion: Data from this study suggest that the incubation of Russian sturgeon embryos at $20^{\circ}C$ would be desirable in the hatchery practice with respect to the good hatchability of embryos and the synchronization of hatching events. Additionally, the updated image data for complete embryonic development could be a useful reference guide for not only developmental researches but also artificial propagation of Russian sturgeon in farms.

• 한국정보과학회논문지:데이타베이스
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• 제32권1호
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• pp.43-55
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• 2005

시공간 데이타베이스는 실세계에 존재하는 다양한 유형의 객체에 대한 공간 관리와 이력정보를 동시에 제공함으로써 사용자에게 시공간 데이타에 대한 저장 및 질의 수단을 제공한다. 실세계에서 "임의의 질의 윈도우 영역에서 2001년 4월부터 8원까지 농경지당 뿌려진 농약의 평균은 얼마인가\ulcorner"와 같은 질의를 할 수 있다. 이러한 집계 질의는 시간과 공간에 대한 제약을 가지고 있다. 그러나 기존의 집계에 대한 연구는 시간 또는 공간에만 편중되어 시간과 공간 제약을 모두 가진 시공간 데이타에 직접 적용하기 어려운 문제점이 있다. 따라서 이 논문에서는 시공간 특성을 가진 시공간 데이타 분석을 위한 시공간 집계 함수 stCOUNT, stSUM, stAVG, stMAX, stMIN를 제안한다. 아울러 제안된 시공간 집계함수론 적용한 부동산 관리 시스템을 통해 기존의 시간, 공간 집계함수가 분석하기 어려웠던 시공간 데이타에 대한 분석의 용이함과 응용 시스템에 맞는 질의 표현력의 개선 및 편리성을 제공함을 보였다 그리고 제안된 시공간 집계함수의 알고리즘의 성능 평가를 통해 알고리즘 성능의 타당성을 입증하였다.