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( Seoyoung Jeon ),( Mingyung Lee ),( Jakyeom Seo ),( Jeong-hoon Kim ),( Dong-Keun Kam ),( Seongwon Seo ) 한국축산학회 2021 한국축산학회지 Vol.63 No.5
Recently, a high level of dietary crude protein (CP) has become of interest as a possible practice to improve the carcass quality of beef cattle, and its level has been increasing in the field. However, there is little scientific evidence that supports this. This study was conducted to test whether a high dietary CP level would improve growth performance, body metabolism, and carcass traits in Hanwoo beef cattle. A total of 32 Hanwoo finishing beef cattle (18 multiparous cows, six heifers, and eight steers) participated in a 12-weeks feeding trial. Two kinds of total mixed rations were prepared to contain two different CP; 156 g/kg for the control (CON) and 173 g/kg of CP for the treatment (HCP), while maintaining a similar level of metabolizable energy. The experiment was ended when more than half of the steers reached the target body weight (730 kg). Blood was collected at the end of the experiment. After harvesting, the carcass trait was evaluated at the slaughterhouse according to Korean standards. The carcass yield score and grade were also calculated based on revised criteria. Overall, dry matter intake, average daily gain, blood metabolites concentration, and the carcass traits, except for backfat thickness and the yield score, did not differ between the treatments. The HCP had lower backfat thickness than those of CON. There was no difference in the carcass yield grade, but the yield score was higher in the HCP treatment. According to the newly revised carcass grading criteria, both yield score and grade were higher in HCP than in CON. Increasing CP supply decreased the carcass’s backfat thickness without altering growth performance and body metabolism, resulting in improved yield score and grade. Therefore, feeding a high CP diet may be beneficial in the farm income, although it may also increase feed cost and nitrogen excretion to the environment.
Comparison of authorized feed analysis laboratories in Korea: looking at feed chemical analysis
Jeon, Seoyoung,Lee, Jun-Sung,Park, Seong-Min,Ki, Kwang-Seok,Seo, Seongwon 충남대학교 농업과학연구소 2017 Korean Journal of Agricultural Science Vol.41 No.2
In Korea, chemical analysis of animal feed is done through authorized feed analysis laboratories (AFALs). Analysis results among the AFALs need to be similar or within acceptable variations; however, there is no experimental evidence of their comparability. We aimed to determine the level of variation of feed chemical analysis results from different AFALs. For this, we requested analysis of four kinds of feed (corn, soybean meal, corn gluten feed, and ryegrass) to eight AFALs and the Cumberland Valley Analytical Services (CVAS) which is an internationally well-recognized feed analysis laboratory. The AFALs spent more time on analysis than did CVAS. Fiber analysis results varied significantly among laboratories. However, moisture, CP, and ash content values showed almost no variation. At least one AFAL obtained results with significant differences from CVAS for all tested values. These differences can be explained by the followings: 1) the standard methods for feed analysis (SMFA) established for AFALs are not detailed enough to control the analytical variations among different laboratories and 2) guidelines are insufficient for the quality control of analysis results in Korea. Failure to accurately identify the nutritional components of the feed could mean failure to provide adequate nutrients to the animals. Therefore, efforts to reduce the differences among AFALs, such as revising SMFA and publishing guidelines on quality control of feed analysis results, are important.
Jeon, Seoyoung,Sohn, Keun-Nam,Seo, Seongwon Korean Society of Animal Sciences and Technology 2016 한국축산학회지 Vol.58 No.9
Background: By-products of pickled radish (BPR) are considered food waste. Approximately 300 g/kg of the total mass of raw materials becomes BPR. Production of pickled radish has grown continuously and is presently about 40,000 metric tons annually in Korea. The objective of the present study was thus to explore the possibility of using BPR as a ruminant feed ingredient. Results: BPR contained a large amount of moisture (more than 800 g/kg) and ash, and comprised mostly sodium (103 g/kg DM) and chloride (142 g/kg DM). On a dry matter basis, the crude protein (CP) and ether extract (EE) levels in BPR were 75 g/kg and 7 g/kg, respectively. The total digestible nutrient (TDN) level was 527 g/kg and the major portion of digestible nutrients was carbohydrate; 88 % organic matter (OM) was carbohydrate and 65 % of total carbohydrate was soluble or degradable fiber. The coefficient of variation (CV) of nutrient contents among production batches ranged from 4.65 to 33.83 %. The smallest CV was observed in OM, and the largest, in EE. The variation in CP content was relatively small (10.11 %). The storage stability test revealed that storage of BPR at $20^{\circ}C$ (room temperature) might not cause spoilage for 4 d, and possibly longer. If BPR is refrigerated, spoilage can be deferred for 21 d and longer. The in vitro ruminal fermentation study showed that substitution of annual ryegrass straw with BPR improved ruminal fermentation, as evidenced by an increase in VFA concentration, DM degradability, and total gas production. Conclusion: The major portion of nutrients in BPR is soluble or degradable fiber that can be easily fermented in the rumen without adverse effects, to provide energy to ruminant animals. Although its high sodium chloride content needs to be considered when formulating a ration, BPR can be successfully used as a feed ingredient in a ruminant diet, particularly if it is one component of a total mixed ration.
다중 수준 이산 웨이블릿 변환을 이용한 아크 탐지 하이브리드 딥러닝 모델
전서영(Seoyoung Jeon),권성수(Sungsoo Kwon),최원규(Won-Gyu Choi),이종혁(Jonghyuk Lee),배지훈(Ji-Hoon Bae) 한국정보기술학회 2024 Proceedings of KIIT Conference Vol.2024 No.5
본 논문은 전력 시스템에서 화재 사고의 주요 원인 중 하나인 전기 아크 결함을 감지하기 위해 다중 수준이산 웨이블릿 변환(Multi-level DWT)을 적용한 하이브리드 딥러닝 모델을 제안한다. 수집된 데이터는 축산 농장의 전력 분배 시스템에서 발생하는 5가지 전형적인 부하를 대상으로 하여 아크-폴트 발생기를 사용하여 수집되었으며, Multi-level DWT를 통해 시간-주파수 도메인으로 변환한다. 변환된 데이터는 1차원 합성곱 신경망과 장단기 메모리를 결합한 하이브리드 딥러닝 모델에 적용하며, 실험 결과 제안된 모델은 97.08%의 정확도로 기존 단일 모델들보다 더 높음을 확인하였다. This paper proposes a hybrid deep learning model employing Multi-level Discrete Wavelet Transform to detect electrical arc faults, a major cause of fire accidents in power systems. The collected data obtained using arc-fault detectors in the power distribution system of livestock farms targeting five typical loads, is transformed into the time-frequency domain via Multi-level DWT. The transformed data is applied to a hybrid deep learning model combining one-dimensional convolutional neural network and long short-term memory. Experimental results confirm that the proposed model achieves higher 97.08% accuracy compared to existing single models.
Degradation or aggregation: the ramifications of post-translational modifications on tau
( Seoyoung Park ),( Jung Hoon Lee ),( Jun Hyoung Jeon ),( Min Jae Lee ) 생화학분자생물학회(구 한국생화학분자생물학회) 2018 BMB Reports Vol.51 No.6
Tau protein is encoded in the microtubule-associated protein tau (MAPT) gene and contributes to the stability of microtubules in axons. Despite of its basic isoelectric point and high solubility, tau is often found in intraneuronal filamentous inclusions such as paired helical filaments (PHFs), which are the primary constituent of neurofibrillary tangles (NFTs). This pathological feature is the nosological entity termed “tauopathies” which notably include Alzheimer's disease (AD). A proteinaceous signature of all tauopathies is hyperphosphorylation of the accumulated tau, which has been extensively studied as a major pharmacological target for AD therapy. However, in addition to phosphorylation events, tau undergoes a number of diverse posttranslational modifications (PTMs) which appear to be controlled by complex crosstalk. It remains to be elucidated which of the PTMs or their combinations have pro-aggregation or anti-aggregation properties. In this review, we outline the consequences of and communications between several key PTMs of tau, such as acetylation, phosphorylation, and ubiquitination, focusing on their roles in aggregation and degradation. We place emphasis on the structure of tau protofilaments from the human AD brain, which may be good targets to modulate etiological PTMs which cause tau aggregation. [BMB Reports 2018; 51(6): 265-273]
GRADIENT EXPLOSION FREE ALGORITHM FOR TRAINING RECURRENT NEURAL NETWORKS
SEOYOUNG HONG,HYERIN JEON,BYUNGJOON LEE,CHOHONG MIN 한국산업응용수학회 2020 Journal of the Korean Society for Industrial and A Vol.24 No.4
Exploding gradient is a widely known problem in training recurrent neural networks. The explosion problem has often been coped with cutting off the gradient norm by some fixed value. However, this strategy, commonly referred to norm clipping, is an ad hoc approach to attenuate the explosion. In this research, we opt to view the problem from a different perspective, the discrete-time optimal control with infinite horizon for a better understanding of the problem. Through this perspective, we fathom the region at which gradient explosion occurs. Based on the analysis, we introduce a gradient-explosion-free algorithm that keeps the training process away from the region. Numerical tests show that this algorithm is at least three times faster than the clipping strategy.