• Title/Summary/Keyword: Control Parameter

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Effects of dietary extrusion on rumen fermentation, nutrient digestibility, performance and milk composition of dairy cattle: a meta-analysis

  • Sazli Tutur Risyahadi;Rima Shidqiyya Hidayati Martin;Novia Qomariyah;Suryahadi Suryahadi;Heri Ahmad Sukria;Anuraga Jayanegara
    • Animal Bioscience
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    • v.36 no.10
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    • pp.1546-1557
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    • 2023
  • Objective: The present study aimed to evaluate the effects of extruded and unextruded feeding on the performance, milk composition, digestibility and ruminal fermentation of dairy cows through a meta-analysis. Methods: The database was compiled from 53 studies in Scopus and PubMed. The data were analyzed using a random effects model in OpenMEE software. Extruded feed was grouped as the experiment group while and the others as control group. The bias of publication in the main parameter of dairy performance was evaluated by a funnel plot. Results: The result showed that extruded feed enhanced the milk yield, dry matter and crude protein digestibility, butyrate and valerate acid production (p<0.05). Meanwhile, the extruded feed significantly decreased the milk fat and protein concentration (p<0.05). Also, the iso-butyrate and iso-valerate in unextruded feeding was significantly higher than the extruded feed (p<0.05). Conclusion: It was concluded from the meta-analysis that extruded feed effectively improved the milk production and milk lactose concentration, dry matter and protein digestibility, but not the milk fat and protein concentration.

Estimation of Hardening Layer Depths in Laser Surface Hardening Processes Using Neural Networks (레이져 표면 경화 공정에서 신경회로망을 이용한 경화층 깊이 예측)

  • Woo, Hyun Gu;Cho, Hyung Suck;Han, You Hie
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.11
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    • pp.52-62
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    • 1995
  • In the laser surface hardening process the geometrical parameters, especially the depth, of the hardened layer are utilized to assess the integrity of the hardening layer quality. Monitoring of this geometrical parameter ofr on-line process control as well as for on-line quality evaluation, however, is an extremely difficult problem because the hardening layer is formed beneath a material surface. Moreover, the uncertainties in monitoring the depth can be raised by the inevitable use of a surface coating to enhance the processing efficiency and the insufficient knowledge on the effects of coating materials and its thicknesses. The paper describes the extimation results using neural network to estimate the hardening layer depth from measured surface temperanture and process variables (laser beam power and feeding velocity) under various situations. To evaluate the effec- tiveness of the measured temperature in estimating the harding layer depth, estimation was performed with or without temperature informations. Also to investigate the effects of coating thickness variations in the real industry situations, in which the coating thickness cannot be controlled uniform with good precision, estimation was done over only uniformly coated specimen or various thickness-coated specimens. A series of hardening experiments were performed to find the relationships between the hardening layer depth, temperature and process variables. The estimation results show the temperature informations greatly improve the estimation accuracy over various thickness-coated specimens.

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Impact of Estuarine Dams on the Estuarine Parameter Space and Sediment Flux Decomposition: Idealized Numerical Modeling Study

  • Figueroa, Steven M.;Lee, Guan-hong;Chang, Jongwi;Lagamayo, Kenneth D.;Jung, Nathalie W.;Son, Minwoo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.276-276
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    • 2022
  • Estuarine dams are constructed for securing freshwater resources, flood control, and improving upstream navigability. However, their impact on estuarine currents, stratification, and sediment fluxes is not well understood. To develop a general understanding, an idealized modeling study was carried out. Tide and river forcing were varied to produce strongly stratified, partially mixed, periodically stratified, and well-mixed estuaries. Each model ran for one year. Next, the models were subject to the construction of an estuarine dam and run for another year. Then, the pre- and post-dam conditions were compared. Results showed that estuarine dams can amplify the tidal range and reduce the tidal currents. The post-dam estuaries tended to be a salt wedge during freshwater discharge and a bay during no freshwater discharge. For all estuaries, the estuarine turbidity maximum moved seaward, and the suspended sediment concentrations tended to decrease. In terms of sediment flux mechanisms, the estuarine dam increased the seaward river runoff for cases with strong river, and increased the landward tidal pumping for cases with strong tides.

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Deep Learning based Singing Voice Synthesis Modeling (딥러닝 기반 가창 음성합성(Singing Voice Synthesis) 모델링)

  • Kim, Minae;Kim, Somin;Park, Jihyun;Heo, Gabin;Choi, Yunjeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.127-130
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    • 2022
  • This paper is a study on singing voice synthesis modeling using a generator loss function, which analyzes various factors that may occur when applying BEGAN among deep learning algorithms optimized for image generation to Audio domain. and we conduct experiments to derive optimal quality. In this paper, we focused the problem that the L1 loss proposed in the BEGAN-based models degrades the meaning of hyperparameter the gamma(𝛾) which was defined to control the diversity and quality of generated audio samples. In experiments we show that our proposed method and finding the optimal values through tuning, it can contribute to the improvement of the quality of the singing synthesis product.

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Estimating Hydrodynamic Coefficients of Real Ships Using AIS Data and Support Vector Regression

  • Hoang Thien Vu;Jongyeol Park;Hyeon Kyu Yoon
    • Journal of Ocean Engineering and Technology
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    • v.37 no.5
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    • pp.198-204
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    • 2023
  • In response to the complexity and time demands of conventional methods for estimating the hydrodynamic coefficients, this study aims to revolutionize ship maneuvering analysis by utilizing automatic identification system (AIS) data and the Support Vector Regression (SVR) algorithm. The AIS data were collected and processed to remove outliers and impute missing values. The rate of turn (ROT), speed over ground (SOG), course over ground (COG) and heading (HDG) in AIS data were used to calculate the rudder angle and ship velocity components, which were then used as training data for a regression model. The accuracy and efficiency of the algorithm were validated by comparing SVR-based estimated hydrodynamic coefficients and the original hydrodynamic coefficients of the Mariner class vessel. The validated SVR algorithm was then applied to estimate the hydrodynamic coefficients for real ships using AIS data. The turning circle test wassimulated from calculated hydrodynamic coefficients and compared with the AIS data. The research results demonstrate the effectiveness of the SVR model in accurately estimating the hydrodynamic coefficients from the AIS data. In conclusion, this study proposes the viability of employing SVR model and AIS data for accurately estimating the hydrodynamic coefficients. It offers a practical approach to ship maneuvering prediction and control in the maritime industry.

OBD2 Vehicle Operation Information Black Box System for Accident Preparedness (사고 발생에 대비한 OBD2 차량 운행 정보 블랙박스)

  • Jun-Young Kim;Jun-Hee Kim;Hyung-Seong Oh;Jae-Hyung Choi;Kyung-Ho Ko;Myung-Chun Ryoo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.279-280
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    • 2024
  • 본 논문에서는 주행 중 차량의 상태를 실시간으로 모니터링함과 동시에, 페달 조작 여부를 확인할 수 있는 영상 촬영 및 저장 시스템을 제안한다. 개발된 차량 운행 정보 블랙박스는 블루투스 OBD2 커넥터를 통해 차량의 PID 값을 식별하고 수집한다. 이 데이터는 비동기 방식으로 처리되며, 라즈베리파이와 7인치 터치 디스플레이를 이용해 운전자에게 한눈에 보일 수 있는 형태로 정보를 제공한다. 특히, 멀티스레드를 활용하여 ECU 정보를 페달 조작 여부 영상에 표시하는 동시에 녹화하고, CSV 파일로 SD 카드에 실시간으로 저장한다. 수집된 차량 데이터와 영상 데이터는 예기치 못한 사고 발생 시 운전자의 과실 비율 측정과 대처행동을 입증하는 데 중요한 역할을 할 것으로 기대되며, 차량 정비 시 참고 자료로 활용될 수 있다.

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Wave propagation along protein microtubule: Via strain gradient and orthotropic elastic model

  • Muhammad Taj;Mohammad Amien Khadimallah;Shahzad Ali Chattah;Ikram Ahmad;Sami Alghamdi;Muzamal Hussain;Rana Muhammad Akram Muntazir;Faisal Al-Thobiani;Muhammad Safeer;Muhammad Naeem Mohsin;Faisal Mehmood Butt;Zafer Iqbal
    • Advances in concrete construction
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    • v.16 no.5
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    • pp.243-254
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    • 2023
  • Microtubules in the cell are influenced by internal and external stimulation and play an important part in conveying protein substances and in carrying out medications to the intended targets. Waves are produced during these functions and in order to control the biological cell functions, it is important to know the wave velocities of microtubules. Owing to cylindrical shell shaped and mechanically elastic and orthotropic, cylindrical shell model based on gradient elasticity theory has been used. Wave velocities of the protein microtubule are carried out by considering Love's thin shell theory and Navier solution. Also the effect of size parameter and other variables on the results are investigated.

Design and dynamic simulation of a molten salt THS coupled to SFR

  • Areai Nuerlan;Jin Wang;Jun Yang;Zhongxiao Guo;Yizhe Liu
    • Nuclear Engineering and Technology
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    • v.56 no.4
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    • pp.1135-1144
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    • 2024
  • With the increasing ratio of renewables in the grid, a low-carbon and stable base load source that also is capable of load tracking is in demand. Sodium cooled fast reactors (SFRs) coupled to thermal heat storage system (THS) is a strong candidate for the need. This research focuses on the designing and performance validation of a two-tank THS based on molten salt to integrate with a 280 MWth sodium cooled fast reactor. Designing of the THS includes the vital component, sodium-to-salt heat exchanger which is a technology gap that needs to be filled, and designing and parameter selection of the tanks and related pumps. Modeling of the designed THS is conducted followed by the description of operation strategies and control logics of the THS. Finally, the dynamic simulation of the designed THS is conducted based on Fortran. Results show, the proposed power system meets the need of the design requirements to store heat for 18 h during a day and provide 500 MWth for peak demand for the rest of the day.

Nonlinear dynamic response of axially moving GPLRMF plates with initial geometric imperfection in thermal environment under low-velocity impact

  • G.L. She;J.P. Song
    • Structural Engineering and Mechanics
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    • v.90 no.4
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    • pp.357-370
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    • 2024
  • Due to the fact that the mechanism of the effects of temperature and initial geometric imperfection on low-velocity impact problem of axially moving plates is not yet clear, the present paper is to fill the gap. In the present paper, the nonlinear dynamic behavior of axially moving imperfect graphene platelet reinforced metal foams (GPLRMF) plates subjected to lowvelocity impact in thermal environment is analyzed. The equivalent physical parameters of GPLRMF plates are estimated based on the Halpin-Tsai equation and the mixing rule. Combining Kirchhoff plate theory and the modified nonlinear Hertz contact theory, the nonlinear governing equations of GPLRMF plates are derived. Under the condition of simply supported boundary, the nonlinear control equation is discretized with the help of Gallekin method. The correctness of the proposed model is verified by comparison with the existing results. Finally, the time history curves of contact force and transverse center displacement are obtained by using the fourth order Runge-Kutta method. Through detailed parameter research, the effects of graphene platelet (GPL) distribution mode, foam distribution mode, GPL weight fraction, foam coefficient, axial moving speed, prestressing force, temperature changes, damping coefficient, initial geometric defect, radius and initial velocity of the impactor on the nonlinear impact problem are explored. The results indicate that temperature changes and initial geometric imperfections have significant impacts.

Developing a Cooling System for Fuel Cell Stacks Combined with Heat Pump Technology Using 1-D Simulation (1-D 시뮬레이션을 이용한 히트펌프 기술과 결합된 연료전지 스택용 냉각 시스템 개발)

  • Sang-Min Chung;Dong Gyu Park;Minsu Kim;Sung-wook Na;Seung-Jun Lee;Oh-Sung Kwon;Chul-Hee Lee
    • Journal of Drive and Control
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    • v.21 no.2
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    • pp.1-7
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    • 2024
  • This paper proposes a novel cooling system for hydrogen fuel cell cooling systems by integrating heat pump technology to enhance operational efficiency. The study analyzed the cooling efficiency of the fuel cell cooling system. With the increasing focus on eco-friendly vehicle technologies to address environmental concerns and global warming, the transportation sector, a major contributor to greenhouse gas emissions, needs technological enhancements for better efficiency. The proposed cooling system was modeled through 1-D simulations. The analysis results of parameters such as thermal balance, temperature, and pressure of each component confirmed the stable operation of the system. By examining variations in the cooling system's flow rate, compressor RPM, and the Coefficient of Performance (COP) based on different refrigerants, initial research was conducted to derive optimal operating conditions and parameter values.