• Title/Summary/Keyword: performance objective

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The effect of different colored light emitting diode illumination on egg laying performance, egg qualities, blood hormone levels and behavior patterns in Brown Tsaiya duck

  • Su, Chin-Hui;Cheng, Chih-Hsiang;Lin, Jung-Hsin;Liu, Hsiu-Chou;Yu, Yen-Ting;Lin, Chai-Ching;Chen, Wei-Jung
    • Animal Bioscience
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    • v.34 no.11
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    • pp.1870-1878
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    • 2021
  • Objective: The objective of this experiment was to investigate the effects of different colors produced by light emitting diode (LED) on Brown Tsaiya ducks. Methods: A total of 144 female Brown Tsaiya ducks were randomly allocated into three individual cage rearing chambers with different LED illumination colors as treatments. Three different treatments were: i) white color, ii) blue color, and iii) red color. The experiment periods were from ducks 21 to 49 weeks of age, determined traits included i) egg laying performance, ii) feed intake, iii) egg shell breaking strength, iv) egg shell thickness, v) egg Haugh unit, vi) egg weight, vii) serum Estradiol and Progesterone concentration, and viii) behavior pattern. Results: The results indicated that when compared with white and blue color, red color could stimulate ducks sexual maturation and raised the egg laying performance. The red light group was also observed to have the highest feed intake among three treatments. The blue treatment had the lowest egg shell breaking strength and the highest egg weight among three treatments, nevertheless, no significant difference was observed among three treatments on egg shell thickness and egg Haugh unit. The red light group had higher serum estradiol concentration than the white and blue groups, but no significant difference among treatments on the serum Progesterone concentration was found. The results of behavior pattern indicated that red light group showed more feeding and less resting behavior compared to the blue light group. Conclusion: We found a potential of applying red light illumination in the indoor laying duck raising system with positive results on egg laying performance and acceptable egg weight, equivalent egg qualities compared to white and blue light.

An assessment of responses to egg production and liver health of Japanese quails subjected to different levels of metabolizable energy

  • Diana Maryuri Correa, Castiblanco;Michele Bernardino, de Lima;Silvana Martinez Baraldi, Artoni;Erikson Kadoshe de Morais, Raimundo;Daniel Silva, Santos;Lizia Cordeiro, de Carvalho;Edney Pereira, da Silva
    • Animal Bioscience
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    • v.36 no.1
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    • pp.98-107
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    • 2023
  • Objective: Current quail production is configured as an economic activity in scale. Advancements in quail nutrition have been limited to areas such as breeding and, automation of facilities and ambience. The objective of this study was to evaluate the performance responses, liver and oviduct morphometry, and liver histology of Japanese laying quails subjected to different levels of nitrogen-corrected apparent metabolizable energy (MEn). Methods: A completely random design was used that consisted of nine levels of MEn, six replicates, and five hens per cage with a total of 270 quails. The experimental period lasted for 10 weeks. The variables of performance were subjected to analysis of variance and then regression analysis using the broken-line model. The morphometric and histological variables were subjected to multivariate exploratory techniques. Results: The MEn levels influenced the responses to zootechnical performance. The broken-line model estimated the maximum responses for feed intake, egg production, egg weight, and egg mass as 3,040, 2,820, 1,802, and 2,960 kcal of MEn per kg of diet, respectively. Multivariate analysis revealed that the occurrence of hepatic steatosis and increased levels of Kupffer cells were not related to MEn levels. Conclusion: The level of 2,960 kcal/kg of MEn meets performance variable requirements without compromising hepatic physiology.

EDNN based prediction of strength and durability properties of HPC using fibres & copper slag

  • Gupta, Mohit;Raj, Ritu;Sahu, Anil Kumar
    • Advances in concrete construction
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    • v.14 no.3
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    • pp.185-194
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    • 2022
  • For producing cement and concrete, the construction field has been encouraged by the usage of industrial soil waste (or) secondary materials since it decreases the utilization of natural resources. Simultaneously, for ensuring the quality, the analyses of the strength along with durability properties of that sort of cement and concrete are required. The prediction of strength along with other properties of High-Performance Concrete (HPC) by optimization and machine learning algorithms are focused by already available research methods. However, an error and accuracy issue are possessed. Therefore, the Enhanced Deep Neural Network (EDNN) based strength along with durability prediction of HPC was utilized by this research method. Initially, the data is gathered in the proposed work. Then, the data's pre-processing is done by the elimination of missing data along with normalization. Next, from the pre-processed data, the features are extracted. Hence, the data input to the EDNN algorithm which predicts the strength along with durability properties of the specific mixing input designs. Using the Switched Multi-Objective Jellyfish Optimization (SMOJO) algorithm, the weight value is initialized in the EDNN. The Gaussian radial function is utilized as the activation function. The proposed EDNN's performance is examined with the already available algorithms in the experimental analysis. Based on the RMSE, MAE, MAPE, and R2 metrics, the performance of the proposed EDNN is compared to the existing DNN, CNN, ANN, and SVM methods. Further, according to the metrices, the proposed EDNN performs better. Moreover, the effectiveness of proposed EDNN is examined based on the accuracy, precision, recall, and F-Measure metrics. With the already-existing algorithms i.e., JO, GWO, PSO, and GA, the fitness for the proposed SMOJO algorithm is also examined. The proposed SMOJO algorithm achieves a higher fitness value than the already available algorithm.

The Effects of Kinesic Taping Treatment on Kayakers' Athletic Performance and Muscle Fatigue Variable (키네시오 테이핑요법이 카약선수 경기력과 피로물질에 미치는 영향)

  • HA, Hae-Dong
    • Journal of Fisheries and Marine Sciences Education
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    • v.28 no.3
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    • pp.799-807
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    • 2016
  • The objective of research was to explore the effects of Kinesic taping treatment on Kayaker's athletic performance and muscle fatigue variable. In order to accomplish such study objective, this study employed 8 ordinary university students and 8 university kayaker's as study subjects. The athletic performance records and blood lactate were analyzed before and after Kinesic taping treatment (KTT). Kinesic taping treatment was applied to the regions of agonist such as vastus medialis muscle, Latissimus dorsi muscle, Trapezius muscle, Biceps brachii muscle, and Triceps brachii muscle, which are major muscles for Kayaker's. Records for rest heart rate, athletic performance and blood lactate were measured upon 200m and 500m distance exercise using kayak ergometer. Data were analyzed by SPSS 19.0 using paired t-test and one-way repeated ANOVA at significant level of a = .05. First, performance records of 200m paddling kayak showed that the ordinary university students had a mean score of 60.13 second before and 58.75 second after kinesic taping treatment. University kayakers had a mean score of 58.75 second before and 53.0 second after kinesic taping treatment. Both groups had significant differences between before and after KTT in the athletic performance. In addition, levels of blood lactate showed that the ordinary university students had a mean score of 5.89mM before and 8.90mM after KTT and university kayaker's had a mean score of 5.79mM before and 8.48mM after KTT. The ANOVA showed that the level of ordinary university students' blood lactate was significantly higher than university kayakers only after KTT. Second, performance records of 500m paddling kayak showed that the ordinary university students had a mean score of 2.90 minute before and 2.77 minute after KTT and university kayaker's had a mean score of 2.30 minute before and 2.20 minute after KTT. Both groups had significant differences between before and after KTT in the athletic performance. Moreover, only university kayaker's had a significantly higher performance record than the counterpart. Levels of blood lactate showed that the ordinary university students had a mean score of 7.71mM before and 8.85mM after KTT and university kayakers had a mean score of 8.09mM before and 8.45mM after KTT. However, such a level of increase had no significant difference between the groups

Fast Compensator of Periodic Disturbance in Disk Drives (디스크 드라이브의 주기적 외란 고속 보상 제어)

  • 부찬혁;김호찬;강창익
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.2
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    • pp.153-163
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    • 2004
  • The control objective in hard disk drives is to move head as fast as possible to target track and position the head over the center of target track in the presence of external disturbances. The external shock or disk clamping error in manufacturing process causes the disk center to deviate from the disk rotation center. The disk shift acts on the control system as disturbance and degrades severely the performance of disk drives. In this paper, we present a new controller that compensates for the periodic disturbances very fast. The disturbance compensator is arranged in parallel with the state feedback controller. To avoid the interference with the state feedback controller, the compensator creates compensation signal without the feedback of system output until steady state. The pulse type controller is included additionally for improving the transient performance due to initial state. Finally, in order to demonstrate the superior performance of the proposed compensator. we present some experimental results using a commercially available disk drive.

A Study on the Performance Evaluation of Variable-speed Drive Pump (가변속펌프의 성능평가방법에 관한 연구)

  • Suh, Sang-Ho;Kim, Hyoung-Ho;Rakibuzzaman, Rakibuzzaman;Kim, Kyung-Wuk;Yoon, In-Sik
    • The KSFM Journal of Fluid Machinery
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    • v.17 no.5
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    • pp.83-88
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    • 2014
  • Pumps are widely used in industrial plants, energy systems, ships etc. Generally they consume nearly 20% each nation's total electrical energy. The objective of this study is to find performance evaluating method for variable-speed drive pump. In order to evaluate the variable-speed pump performance energy saving rate for the variable-speed pump is applied and compared with that of constant-speed pump.

Tracking Control using Weight Center Movement (중심이동을 이용한 추적제어에 관한 연구)

  • Sin, Seung-Heon;Lee, Yong-Tae
    • Journal of the Ergonomics Society of Korea
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    • v.19 no.2
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    • pp.47-61
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    • 2000
  • To study the characteristic of the weight center control of humans, the tracking control capability of circular and wave motion by weight center movement was conducted by using the force platform. The control performance(the integrated value of the $|Object\;value(X)-Control\;Value(Y)|^{2}$) and control trace record was used to evaluate the individual performance characteristics. The size of the population for this study was 73, which consisted of engineering students, students majoring in taekwondo, students majoring in dance, all of which were in their twenties, and also people in their sixties. The results of this study indicate that the weight center control characteristics of humans can be represented by the evaluation method and values. People who were capable of tracking the object did not stop nor overshot the objective. In addition, habits or training characteristics and aging seemed to influence the performance of the subjects. In the future, development of different objectives for weight center control could be used to determine the severity of the disease of the subject and the effects of the treatment.

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CFD ANALYSIS OF HEAT TRANSFER PERFORMANCE OF A REFRIGERATOR CONDENSER (CFD 해석을 통한 냉장고용 응축기 전열성능 연구)

  • Yoo, S.S.;Hwang, D.Y.;Lee, M.S.;Han, B.Y.;Park, H.K.
    • 한국전산유체공학회:학술대회논문집
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    • 2009.04a
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    • pp.303-309
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    • 2009
  • In this study, the heat transfer and flow field of condenser used on Kim-chi refrigerator is analysed with numerical method. Main objective is to present the base data for designing new condenser model with improvement of heat transfer performance. For CFD analysis, a commercial code, STAR-CCM+ was used. The water was used for the inner working fluid and the air was used for the outer fluid. The condenser type used in this study is a flat plate fin-and-tube heat exchanger. As factors for performance analysis, the effect of condenser geometry and air velocity was investigated. As a result, it has been observed that there is a suitable fin pitch with which heat transfer performance of condenser is maximized.

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A value assessment model considering carbon emissions and environmental performance (환경성능과 CO2 배출을 고려한 가치평가 모델)

  • Kang, Sun-Im;Kim, Jong-Hyeob;Ji, Soung-Min;Han, Sangwon;Hyun, Chang-Taek
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2012.11a
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    • pp.113-114
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    • 2012
  • With increasing awareness on sustainable construction and green buildings, environment-friendly construction activities have been introduced and promoted. Green value engineering (VE) is an effort that is recently introduced to facilitate environment-friendly construction. To support the application of green VE in construction, this paper suggests a green value assessment model considering the environmental performance and carbon emissions during construction. The value assessment model presented in this study is expected to help conduct objective value evaluation of construction activities in terms of both cost and environmental performance.

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Debiasing Technique for Numerical Weather Prediction using Artificial Neural Network

  • Kang, Boo-Sik;Ko, Ick-Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.51-56
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    • 2006
  • Biases embedded in numerical weather precipitation forecasts by the RDAPS model was determined, quantified and corrected. The ultimate objective is to eventually enhance the reliability of reservoir operation by Korean Water Resources Corporation (KOWACO), which is based on precipitation-driven forecasts of stream flow. Statistical post-processing, so called MOS (Model Output Statistics) was applied to RDAPS to improve their performance. The Artificial Neural Nwetwork (ANN) model was applied for 4 cases of 'Probability of Precipitation (PoP) for wet and dry season' and 'Quantitative Precipitation Forecasts (QPF) for wet and dry season'. The reduction on the large systematic bias was especially remarkable. The performance of both networks may be improved by retraining, probably every month. In addition, it is expected that performance of the networks will improve once atmospheric profile data are incorporated in the analysis. The key to the optimal performance of ANN is to have a large data set relevant to the predictand variable. The more complex the process to be modeled by the ANN, the larger the data set needs to be.

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