• 축산식품과학과 산업
• /
• v.6 no.1
• /
• pp.55-62
• /
• 2017

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.2-5
• /
• 2014

국내 낙농가는 일 년 내내 과중한 업무에 시달리지만 낙농 효율이 바닥으로 떨어지고 있다. 낙농 효율을 높이기 위해 구축 되어진 낙농 솔루션들이 있지만 각 솔루션별로의 수집되는 많은 데이터를 바탕으로 사람이 종합적인 판단을 수행하고 이를 낙농경영에 적용시키기에는 많은 무리가 따른다. 본 연구에서는 이미 구축되어진 낙농 솔루션을 통하여 수집되는 데이터를 실시간 분석 및 예측을 수행함으로써 낙농가가 보다 효율적인 개체관리(건강, 착유, 번식, 급이), 경영관리, 환경관리를 수행하고 낙농가의 고된 업무를 자동화 시스템을 통하여 지원 할 수 있는 시스템 설계를 제안한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.788-791
• /
• 2020

낙농업에서 경제적 손실을 불러일으키고 관찰 시간과 비용이 필요한 젖소의 유방염 관리는 중요하다. 그러나 지금까지의 연구는 유방염 진단에 초점을 맞추고 있고, 예측하려는 시도는 전무하다. 유방염에 걸린 개체는 며칠 동안 우유를 생산할 수 없기 때문에 낙농가에 막대한 피해를 준다. 따라서 젖소가 유방염에 걸려 증상이 나타나기 전에 미리 파악해 조처를 할 수 있도록 하는 것이 중요하다. 이에 본 연구는 유방염 예측을 위해 생체 데이터를 포함한 다중 센싱 데이터를 사용해 유방염 예측 모델을 개발하였다. 모델에 사용된 데이터는 충청남도의 농가에 설치된 로봇 착유기로 부터 수집하였으며, 일정 기간 동안의 다중 센싱 데이터를 바탕으로 다음 날의 유방염 여부를 예측한다. 많은 양의 비선형 데이터를 효과적으로 처리하기 위해 다층 퍼셉트론을 사용해 모델을 학습하였다. 그 결과, 81.6%의 예측 정확도를 보였으며 교차 검증을 통해 정확도뿐만 아니라 재현율까지 우수함을 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.05a
• /
• pp.55-57
• /
• 2023

현재 정보 통신 기술을 기반으로 한 4차 산업 혁명의 흐름 속에 있다. 클라우드 컴퓨팅, 인공 지능, 로봇기술, 드론 등 4차 산업 혁명의 핵심 기술들은 가상 세계와 현실을 하나로 연결하는 O2O(Online To Offline) 쳬계를 구축했다. 그리고 4차 산업 혁명은 ICT 산업뿐만이 아니라 제조업, 의료업, 농업 등 다양한 산업 분야에 정보 융합 환경을 구축했다. 그중 클라우드 컴퓨팅은 정보 융합 환경을 구축하는 기본 요소로 통한다. 이로 인해 많은 기업은 클라우드 도입을 고려하고 있다. 온 프레미스 방식의 대리점 IT 인프라도 그 대상이다. 하지만 이미 오랜 시간 온 프레미스 위주의 IT 생태계가 형성되어 있으므로 전환 설계에 대한 연구와 향후 연구 방향 도출이 필요하다.

• Asian-Australasian Journal of Animal Sciences
• /
• v.33 no.6
• /
• pp.1002-1011
• /
• 2020

Objective: This study was conducted to determine the composition and diversity of the fungal flora at various control points in cheese ripening rooms of 10 dairy farms from six different provinces in the Republic of Korea. Methods: Floor, wall, cheese board, room air, cheese rind and core were sampled from cheese ripening rooms of ten different dairy farms. The molds were enumerated using YM petrifilm, while isolation was done on yeast extract glucose chloramphenicol agar plates. Morphologically distinct isolates were identified using sequencing of internal transcribed spacer region. Results: The fungal counts in 8 out of 10 dairy farms were out of acceptable range, as per hazard analysis critical control point regulation. A total of 986 fungal isolates identified and assigned to the phyla Ascomycota (14 genera) and Basidiomycota (3 genera). Of these Penicillium, Aspergillus, and Cladosporium were the most diverse and predominant. The cheese ripening rooms was overrepresented in 9 farms by Penicillium (76%), while Aspergillus in a single farm. Among 39 species, the prominent members were Penicillium commune, P. oxalicum, P. echinulatum, and Aspergillus versicolor. Most of the mold species detected on surfaces were the same found in the indoor air of cheese ripening rooms. Conclusion: The environment of cheese ripening rooms persuades a favourable niche for mold growth. The fungal diversity in the dairy farms were greatly influenced by several factors (exterior atmosphere, working personnel etc.,) and their proportion varied from one to another. Proper management of hygienic and production practices and air filtration system would be effective to eradicate contamination in cheese processing industries.

• Asian-Australasian Journal of Animal Sciences
• /
• v.12 no.8
• /
• pp.1205-1214
• /
• 1999

Whole lupinus albus seeds were pressure toasted at temperatures of 100, 118 and $136^{\circ}C$ for 3, 7, 15 and 30 min to study rumen degradation and post-rumen digestion and to determine optimal heating conditions for the Dutch dairy feed industry. In sacco nylon bag and mobile bag techniques were employed for rumen and intestine incubations to determine ruminal degradation characteristics and intestinal digestion of crude protein (CP) in 4 lactation rumen cannulated and 4 lactating intestinal cannulated Dutch dairy cows fed 47% hay and 53% concentrate according to Dutch dairy requirements. Measured rumen degradation characteristics were soluble fraction (S), undegradable fraction (U), potentially degradable fraction (D), lag time (T0) and rate of degradation (Kd) of insoluble but degradable fraction. Percentage bypass feed protein (BCP), ruminal microbial protein synthesized based on available nitrogen (N_MP) and that based on available energy (E_MP), true protein supplied to the small intestine (TPSI), truly absorbed BCP (ABCP), absorbed microbial protein (AVP) in the small intestine, endogenous protein losses in the digestion (ENDP), true digested protein in the small intestine (TAP or DVE in Dutch) and degraded protein balance (PDB or OEB in Dutch) were totally evaluated using the new Dutch DVE/OEB System. Pressure toasting decreased (p<0.001) rumen degradability of CP. It reduced S (p<0.05) and Kd (p=0.06), increased D (p<0.05) and U (p<0.01) but did not alter T0 (p>0.05), thus resulting in dramatically increased BCP (p<0.001) with increasing time and temperature from 73.7 (raw) up to 182.5 g/kg DM ($136^{\circ}C/15min$). Although rumen microbial protein synthesized based on available energy (E_MP) was reduced, true protein (microbial and bypass feed protein) supplied to the small intestine (TPSI) was increased (p<0.001) from 153.1 (raw) to 247.6 g/kg DM ($136^{\circ}C/15min$). Due to digestibility of BCP in the intestine not changing (p>0.05) average 87.8%, the absorbed BCP increased (p<0.001) from 62.3 (raw) to 153.7 g/kg DM ($136^{\circ}C/15min$). Therefore DVE value of true digested protein in the small intestine was significantly increased (p<0.001) from 118.9 (raw) to 197.0 g/kg DM ($136^{\circ}C/15min$) and OEB value of degraded protein balance was significantly reduced (p<0.001) from 147.2 (raw) to 63.1 g/kg DM ($136^{\circ}C/15min$). It was concluded that pressure toasting was effective in shifting degradation of CP of lupinus albus from the rumen to small intestine without changing intestinal digestion. Further studies are required on the degradation and digestion of individual amino acids and on the damaging effects of processing on amino acids, especially the first limiting amino acids.

• Animal Bioscience
• /
• v.36 no.11
• /
• pp.1666-1684
• /
• 2023

Objective: Our objective was to examine the relationships of supplemental rumen-protected lysine (RPL) or lysine + methionine (RPLM) on lactational performance, plasma amino acids (AA) concentration, and nitrogen use efficiency of lactating dairy cows by using a meta-analysis approach. Methods: A total of 56 articles comprising 77 experiments with either RPL or RPLM supplementation were selected and analyzed using a mixed model methodology by considering the treatments and other potential covariates as fixed effects and different experiments as random effects. Results: In early lactating cows, milk yield was linearly increased by RPL (β₁ = 0.013; p<0.001) and RPLM (β₁ = 0.014; p<0.028) but 3.5% fat-corrected milk (FCM) and energy-corrected milk (ECM) (kg/d) was increased by only RPL. RPL and RPLM did not affect dry matter intake (DMI) but positively increased (p<0.05) dairy efficiency (Milk yield/DMI and ECM/DMI). As a percentage, milk fat, protein, and lactose were unchanged by RPL or RPLM but the yield of all components was increased (p<0.05) by feeding RPL while only milk protein was increased by feeding RPLM. Plasma Lys concentration was linearly increased (p<0.05) with increasing supplemental RPL while plasma Met increased (p<0.05) by RPLM supplementation. The increase in plasma Lys had a strong linear relationship (R² = 0.693 in the RPL dataset and R² = 0.769 in the RPLM dataset) on milk protein synthesis (g/d) during early lactation. Nitrogen metabolism parameters were not affected by feeding RPL or RPLM, either top-dress or when supplemented to deficient diets. Lactation performance did not differ between AA-deficient or AA-adequate diets in response to RPL or RPLM supplementation. Conclusion: RPL or RPLM showed a positive linear relationship on the lactational performance of dairy cows whereas greater improvement effects were observed during early lactation. Supplementing RPL or RPLM is recommended on deficient-AA diet but not on adequate-AA diet.

• Korean journal of food and cookery science
• /
• v.31 no.3
• /
• pp.241-247
• /
• 2015

This study was conducted in order to evaluate emulsion mapping between emulsion stability and moisture content, cooking yield, hardness, protein solubility, apparent viscosity, and overall acceptability of pork or beef emulsion batters. The pork and beef emulsion batters were added to different parts of the meat. The formulations indicating low emulsion stability and high cooking yield were T1 (pork shoulder), T2 (pork ham), and T5 (beef tenderloin) treatments. Low stability, low hardness and protein solubility were also T1 (pork shoulder), T2 (pork ham), and T5 (beef tenderloin) treatments. The Pearson's correlation coefficients show that emulsion stability is negatively correlated with cooking yield (p<0.05), with a value of -0.90, and positively correlated with hardness (p<0.05), and protein solubility (p<0.01) with values of 0.65 and 0.59, respectively. This approach has been found to be particularly useful for highlighting differences among the emulsified properties in emulsion meat products. Therefore, the results obtained with emulsion mapping are useful in the making of new emulsified meat products of the desired quality.

• Journal of Animal Environmental Science
• /
• v.15 no.1
• /
• pp.29-36
• /
• 2009

The authors of this study have developed a robot milking system composed of a multi-articular manipulator, a teat-cup attachment system, and an image processing system. In order to verify the efficacy of this system, we have conducted a performance analysis and measurement experiment of milk yield, using dairy cattle. It was concluded that teat recognition using the image processing system, teat-cup attachment, and detachment system did not binder milking. The milking yield of the robot milking system was analyzed based on a lactation curve. As a result, it was determined that the use of a robot milking system had no significant effects on milking yields. The robot milking system described in this study is designed specifically with a focus on teat-cup attachment and detachment performance, as well as the effect of these factors on milking yield. In the future, in-depth studies regarding the washing of the teats prior to milking, teat massage, pre-treatment and post-treatment processes after milking, and disinfection processes shall be conducted, in order to render this system feasible for use in an actual milking parlor.

• Journal of Dairy Science and Biotechnology
• /
• v.23 no.1
• /
• pp.9-17
• /
• 2005

Nanotechnology has penetrated into the various branches of research and development and it is particularly of benefit to the particle size engineering. It has been widely known that the particle size of an active pharmaceutical ingredient (API) is critical in determining the bioavailability and processability of pharmaceutical formulation. However, the window of appropriate particle size has been limited mainly due to related processing difficulties. The windows have been widened by the recent development of nanotechnologies, resulting in diversified drug delivery systems. The impact of this development is far more fundamental than what can be expected from conventional particle size engineering. It is the case that the preparation and use of nanoparticles will soon be a common task in the particle engineering step of pharmaceutical unit operations. In this chapter, the basic principles of variouspreparation techniques will be discussed in detail. Regardless of processing details, the preparation methods of pharmaceutical nanoparticles mainly concern how to deal with the extra energy related with particle size. Depending on the ways of treating the e103 energy, preparation methods can be classified into two major classes, i.e.. thermodynamic and kinetic approaches. The recent progresses have shown the possibilities of much more complex combinations of different approaches and the use of new types of energy and nanostructures.