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forward</title> <meta name="description" content="Search results for: feed forward"> <meta name="keywords" content="feed forward"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="feed forward"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2287</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: feed forward</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2287</span> Max-Entropy Feed-Forward Clustering Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiaohan%20Bookman">Xiaohan Bookman</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaoyan%20Zhu"> Xiaoyan Zhu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The outputs of non-linear feed-forward neural network are positive, which could be treated as probability when they are normalized to one. If we take Entropy-Based Principle into consideration, the outputs for each sample could be represented as the distribution of this sample for different clusters. Entropy-Based Principle is the principle with which we could estimate the unknown distribution under some limited conditions. As this paper defines two processes in Feed-Forward Neural Network, our limited condition is the abstracted features of samples which are worked out in the abstraction process. And the final outputs are the probability distribution for different clusters in the clustering process. As Entropy-Based Principle is considered into the feed-forward neural network, a clustering method is born. We have conducted some experiments on six open UCI data sets, comparing with a few baselines and applied purity as the measurement. The results illustrate that our method outperforms all the other baselines that are most popular clustering methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=feed-forward%20neural%20network" title="feed-forward neural network">feed-forward neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=max-entropy%20principle" title=" max-entropy principle"> max-entropy principle</a>, <a href="https://publications.waset.org/abstracts/search?q=probabilistic%20models" title=" probabilistic models "> probabilistic models </a> </p> <a href="https://publications.waset.org/abstracts/26856/max-entropy-feed-forward-clustering-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26856.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">435</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2286</span> Margin-Based Feed-Forward Neural Network Classifiers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiaohan%20Bookman">Xiaohan Bookman</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaoyan%20Zhu"> Xiaoyan Zhu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Margin-Based Principle has been proposed for a long time, it has been proved that this principle could reduce the structural risk and improve the performance in both theoretical and practical aspects. Meanwhile, feed-forward neural network is a traditional classifier, which is very hot at present with a deeper architecture. However, the training algorithm of feed-forward neural network is developed and generated from Widrow-Hoff Principle that means to minimize the squared error. In this paper, we propose a new training algorithm for feed-forward neural networks based on Margin-Based Principle, which could effectively promote the accuracy and generalization ability of neural network classifiers with less labeled samples and flexible network. We have conducted experiments on four UCI open data sets and achieved good results as expected. In conclusion, our model could handle more sparse labeled and more high-dimension data set in a high accuracy while modification from old ANN method to our method is easy and almost free of work. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Max-Margin%20Principle" title="Max-Margin Principle">Max-Margin Principle</a>, <a href="https://publications.waset.org/abstracts/search?q=Feed-Forward%20Neural%20Network" title=" Feed-Forward Neural Network"> Feed-Forward Neural Network</a>, <a href="https://publications.waset.org/abstracts/search?q=classifier" title=" classifier"> classifier</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20risk" title=" structural risk"> structural risk</a> </p> <a href="https://publications.waset.org/abstracts/27178/margin-based-feed-forward-neural-network-classifiers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27178.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">342</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2285</span> Systematic and Simple Guidance for Feed Forward Design in Model Predictive Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shukri%20Dughman">Shukri Dughman</a>, <a href="https://publications.waset.org/abstracts/search?q=Anthony%20Rossiter"> Anthony Rossiter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper builds on earlier work which demonstrated that Model Predictive Control (MPC) may give a poor choice of default feed forward compensator. By first demonstrating the impact of future information of target changes on the performance, this paper proposes a pragmatic method for identifying the amount of future information on the target that can be utilised effectively in both finite and infinite horizon algorithms. Numerical illustrations in MATLAB give evidence of the efficacy of the proposal. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=model%20predictive%20control" title="model predictive control">model predictive control</a>, <a href="https://publications.waset.org/abstracts/search?q=tracking%20control" title=" tracking control"> tracking control</a>, <a href="https://publications.waset.org/abstracts/search?q=advance%20knowledge" title=" advance knowledge"> advance knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=feed%20forward" title=" feed forward"> feed forward</a> </p> <a href="https://publications.waset.org/abstracts/36567/systematic-and-simple-guidance-for-feed-forward-design-in-model-predictive-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36567.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">547</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2284</span> Implemented Cascade with Feed Forward by Enthalpy Balance Superheated Steam Temperature Control for a Boiler with Distributed Control System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kanpop%20Saion">Kanpop Saion</a>, <a href="https://publications.waset.org/abstracts/search?q=Sakreya%20Chitwong"> Sakreya Chitwong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Control of superheated steam temperature in the steam generation is essential for the efficiency safety and increment age of the boiler. Conventional cascade PID temperature control in the super heater is known to be efficient to compensate disturbance. However, the complex of thermal power plant due to nonlinearity, load disturbance and time delay of steam of superheater system is bigger than other control systems. The cascade loop with feed forward steam temperature control with energy balance compensator using thermodynamic model has been used for the compensation the complex structure of superheater. In order to improve the performance of steam temperature control. The experiment is implemented for 100% load steady and load changing state. The cascade with feed forward with energy balance steam temperature control has stabilized the system as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cascade%20with%20feed%20forward" title="cascade with feed forward">cascade with feed forward</a>, <a href="https://publications.waset.org/abstracts/search?q=boiler" title=" boiler"> boiler</a>, <a href="https://publications.waset.org/abstracts/search?q=superheated%20steam%20temperature%20control" title=" superheated steam temperature control"> superheated steam temperature control</a>, <a href="https://publications.waset.org/abstracts/search?q=enthalpy%20balance" title=" enthalpy balance"> enthalpy balance</a> </p> <a href="https://publications.waset.org/abstracts/55760/implemented-cascade-with-feed-forward-by-enthalpy-balance-superheated-steam-temperature-control-for-a-boiler-with-distributed-control-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55760.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2283</span> Transient Enhanced LDO Voltage Regulator with Improved Feed Forward Path Compensation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Suresh">A. Suresh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sreehari%20Rao%20Patri"> Sreehari Rao Patri</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20S.%20R.%20Krishnaprasad"> K. S. R. Krishnaprasad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An ultra low power capacitor less low-dropout voltage regulator with improved transient response using gain enhanced feed forward path compensation is presented in this paper. It is based on a cascade of a voltage amplifier and a transconductor stage in the feed forward path with regular error amplifier to form a composite gain-enhanced feed forward stage. It broadens the gain bandwidth and thus improves the transient response without substantial increase in power consumption. The proposed LDO, designed for a maximum output current of 100 mA in UMC 180 nm, requires a quiescent current of 69 µA. An undershoot of 153.79mV for a load current changes from 0mA to 100mA and an overshoot of 196.24mV for current change of 100mA to 0mA. The settling time is approximately 1.1 µs for the output voltage undershoot case. The load regulation is of 2.77 µV/mA at load current of 100mA. Reference voltage is generated by using an accurate band gap reference circuit of 0.8V.The costly features of SOC such as total chip area and power consumption is drastically reduced by the use of only a total compensation capacitance of 6pF while consuming power consumption of 0.096 mW. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacitor-less%20LDO" title="capacitor-less LDO">capacitor-less LDO</a>, <a href="https://publications.waset.org/abstracts/search?q=frequency%20compensation" title=" frequency compensation"> frequency compensation</a>, <a href="https://publications.waset.org/abstracts/search?q=transient%20response" title=" transient response"> transient response</a>, <a href="https://publications.waset.org/abstracts/search?q=latch" title=" latch"> latch</a>, <a href="https://publications.waset.org/abstracts/search?q=self-biased%20differential%20amplifier" title=" self-biased differential amplifier "> self-biased differential amplifier </a> </p> <a href="https://publications.waset.org/abstracts/15837/transient-enhanced-ldo-voltage-regulator-with-improved-feed-forward-path-compensation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15837.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">451</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2282</span> Employing Bayesian Artificial Neural Network for Evaluation of Cold Rolling Force</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Kooche%20Baghy">P. Kooche Baghy</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Eskandari"> S. Eskandari</a>, <a href="https://publications.waset.org/abstracts/search?q=E.javanmard"> E.javanmard</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Neural network has been used as a predictive means of cold rolling force in this dissertation. Thus, imposed average force on rollers as a mere input and five pertaining parameters to its as a outputs are regarded. According to our study, feed-forward multilayer perceptron network has been selected. Besides, Bayesian algorithm based on the feed-forward back propagation method has been selected due to noisy data. Further, 470 out of 585 all tests were used for network learning and others (115 tests) were considered as assessment criteria. Eventually, by 30 times running the MATLAB software, mean error was obtained 3.84 percent as a criteria of network learning. As a consequence, this the mentioned error on par with other approaches such as numerical and empirical methods is acceptable admittedly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayesian" title=" Bayesian"> Bayesian</a>, <a href="https://publications.waset.org/abstracts/search?q=cold%20rolling" title=" cold rolling"> cold rolling</a>, <a href="https://publications.waset.org/abstracts/search?q=force%20evaluation" title=" force evaluation"> force evaluation</a> </p> <a href="https://publications.waset.org/abstracts/47601/employing-bayesian-artificial-neural-network-for-evaluation-of-cold-rolling-force" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47601.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">443</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2281</span> Dry Relaxation Shrinkage Prediction of Bordeaux Fiber Using a Feed Forward Neural</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Baeza%20S.%20Roberto">Baeza S. Roberto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The knitted fabric suffers a deformation in its dimensions due to stretching and tension factors, transverse and longitudinal respectively, during the process in rectilinear knitting machines so it performs a dry relaxation shrinkage procedure and thermal action of prefixed to obtain stable conditions in the knitting. This paper presents a dry relaxation shrinkage prediction of Bordeaux fiber using a feed forward neural network and linear regression models. Six operational alternatives of shrinkage were predicted. A comparison of the results was performed finding neural network models with higher levels of explanation of the variability and prediction. The presence of different reposes are included. The models were obtained through a neural toolbox of Matlab and Minitab software with real data in a knitting company of Southern Guanajuato. The results allow predicting dry relaxation shrinkage of each alternative operation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title="neural network">neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=dry%20relaxation" title=" dry relaxation"> dry relaxation</a>, <a href="https://publications.waset.org/abstracts/search?q=knitting" title=" knitting"> knitting</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20regression" title=" linear regression"> linear regression</a> </p> <a href="https://publications.waset.org/abstracts/30179/dry-relaxation-shrinkage-prediction-of-bordeaux-fiber-using-a-feed-forward-neural" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30179.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">585</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2280</span> Cooperative Coevolution for Neuro-Evolution of Feed Forward Networks for Time Series Prediction Using Hidden Neuron Connections</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ravneil%20Nand">Ravneil Nand</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cooperative coevolution uses problem decomposition methods to solve a larger problem. The problem decomposition deals with breaking down the larger problem into a number of smaller sub-problems depending on their method. Different problem decomposition methods have their own strengths and limitations depending on the neural network used and application problem. In this paper we are introducing a new problem decomposition method known as Hidden-Neuron Level Decomposition (HNL). The HNL method is competing with established problem decomposition method in time series prediction. The results show that the proposed approach has improved the results in some benchmark data sets when compared to the standalone method and has competitive results when compared to methods from literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cooperative%20coevaluation" title="cooperative coevaluation">cooperative coevaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=feed%20forward%20network" title=" feed forward network"> feed forward network</a>, <a href="https://publications.waset.org/abstracts/search?q=problem%20decomposition" title=" problem decomposition"> problem decomposition</a>, <a href="https://publications.waset.org/abstracts/search?q=neuron" title=" neuron"> neuron</a>, <a href="https://publications.waset.org/abstracts/search?q=synapse" title=" synapse"> synapse</a> </p> <a href="https://publications.waset.org/abstracts/29237/cooperative-coevolution-for-neuro-evolution-of-feed-forward-networks-for-time-series-prediction-using-hidden-neuron-connections" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29237.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2279</span> Predicting Global Solar Radiation Using Recurrent Neural Networks and Climatological Parameters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rami%20El-Hajj%20Mohamad">Rami El-Hajj Mohamad</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Skafi"> Mahmoud Skafi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Massoud%20Haidar"> Ali Massoud Haidar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Several meteorological parameters were used for the prediction of monthly average daily global solar radiation on horizontal using recurrent neural networks (RNNs). Climatological data and measures, mainly air temperature, humidity, sunshine duration, and wind speed between 1995 and 2007 were used to design and validate a feed forward and recurrent neural network based prediction systems. In this paper we present our reference system based on a feed-forward multilayer perceptron (MLP) as well as the proposed approach based on an RNN model. The obtained results were promising and comparable to those obtained by other existing empirical and neural models. The experimental results showed the advantage of RNNs over simple MLPs when we deal with time series solar radiation predictions based on daily climatological data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=recurrent%20neural%20networks" title="recurrent neural networks">recurrent neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20solar%20radiation" title=" global solar radiation"> global solar radiation</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-layer%20perceptron" title=" multi-layer perceptron"> multi-layer perceptron</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient" title=" gradient"> gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=root%20mean%20square%20error" title=" root mean square error"> root mean square error</a> </p> <a href="https://publications.waset.org/abstracts/2385/predicting-global-solar-radiation-using-recurrent-neural-networks-and-climatological-parameters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2385.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">444</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2278</span> Water Reclamation from Synthetic Winery Wastewater Using a Fertiliser Drawn Forward Osmosis System Evaluating Aquaporin-Based Biomimetic and Cellulose Triacetate Forward Osmosis Membranes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Robyn%20Augustine">Robyn Augustine</a>, <a href="https://publications.waset.org/abstracts/search?q=Irena%20Petrinic"> Irena Petrinic</a>, <a href="https://publications.waset.org/abstracts/search?q=Claus%20Helix-Nielsen"> Claus Helix-Nielsen</a>, <a href="https://publications.waset.org/abstracts/search?q=Marshall%20S.%20Sheldon"> Marshall S. Sheldon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examined the performance of two commercial forward osmosis (FO) membranes; an aquaporin (AQP) based biomimetic membrane, and cellulose triacetate (CTA) membrane in a fertiliser is drawn forward osmosis (FDFO) system for the reclamation of water from synthetic winery wastewater (SWW) operated over 24 hr. Straight, 1 M KCl and 1 M NH₄NO₃ fertiliser solutions were evaluated as draw solutions in the FDFO system. The performance of the AQP-based biomimetic and CTA FO membranes were evaluated in terms of permeate water flux (Jw), reverse solute flux (Js) and percentage water recovery (Re). The average water flux and reverse solute flux when using 1 M KCl as a draw solution against controlled feed solution, deionised (DI) water, was 11.65 L/m²h and 3.98 g/m²h (AQP) and 6.24 L/m²h and 2.89 g/m²h (CTA), respectively. Using 1 M NH₄NO₃ as a draw solution yielded average water fluxes and reverse solute fluxes of 10.73 L/m²h and 1.31 g/m²h (AQP) and 5.84 L/m²h and 1.39 g/m²h (CTA), respectively. When using SWW as the feed solution and 1 M KCl and 1 M NH₄NO₃ as draw solutions, respectively, the average water fluxes observed were 8.15 and 9.66 L/m²h (AQP) and 5.02 and 5.65 L/m²h (CTA). Membrane water flux decline was the result of a combined decrease in the effective driving force of the FDFO system, reverse solute flux and organic fouling. Permeate water flux recoveries of between 84-98%, and 83-89% were observed for the AQP-based biomimetic and CTA membrane, respectively after physical cleaning by flushing was employed. The highest water recovery rate of 49% was observed for the 1 M KCl fertiliser draw solution with AQP-based biomimetic membrane and proved superior in the reclamation of water from SWW. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aquaporin%20biomimetic%20membrane" title="aquaporin biomimetic membrane">aquaporin biomimetic membrane</a>, <a href="https://publications.waset.org/abstracts/search?q=cellulose%20triacetate%20membrane" title=" cellulose triacetate membrane"> cellulose triacetate membrane</a>, <a href="https://publications.waset.org/abstracts/search?q=forward%20osmosis" title=" forward osmosis"> forward osmosis</a>, <a href="https://publications.waset.org/abstracts/search?q=reverse%20solute%20flux" title=" reverse solute flux"> reverse solute flux</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20winery%20wastewater%20and%20water%20flux" title=" synthetic winery wastewater and water flux"> synthetic winery wastewater and water flux</a> </p> <a href="https://publications.waset.org/abstracts/101157/water-reclamation-from-synthetic-winery-wastewater-using-a-fertiliser-drawn-forward-osmosis-system-evaluating-aquaporin-based-biomimetic-and-cellulose-triacetate-forward-osmosis-membranes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101157.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2277</span> Progress, Challenges, and Prospects of Non-Conventional Feed Resources for Livestock Production in Sub-Saharan Africa: A Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Clyde%20Haruzivi">Clyde Haruzivi</a>, <a href="https://publications.waset.org/abstracts/search?q=Olusegun%20Oyebade%20Ikusika"> Olusegun Oyebade Ikusika</a>, <a href="https://publications.waset.org/abstracts/search?q=Thando%20Conference%20Mpendulo"> Thando Conference Mpendulo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Feed scarcity, increasing demand for animal products due to the growing human population, competition for conventional feed resources for humans and animal production, and ever-increasing prices of these feed resources are major constraints to the livestock industry in Sub-Saharan Africa. As a result, the industry is suffering immensely as the cost of production is high, hence the reduced returns. Most affected are the communal and resource-limited farmers who cannot afford the cost of conventional feed resources to supplement feeds, especially in arid and semi-arid areas where the available feed resources are not adequate for maintenance and production. This has tasked researchers and animal scientists to focus on the potential of non-conventional feed resources (NCFRs). Non-conventional feed resources could fill the gap through reduced competition, cost of feed, increased supply, increased profits, and independency as farmers will be utilizing locally available feed resources. Identifying available non-conventional feed resources is vital as it creates possibilities for novel feed industries and markets and implements methods of using these feedstuffs to improve livestock production and livelihoods in Sub-Saharan Africa. Hence, this research work analyses the progress, challenges, and prospects of some non-conventional feed resources in Sub-Saharan Africa. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=non-conventional" title="non-conventional">non-conventional</a>, <a href="https://publications.waset.org/abstracts/search?q=feed%20resources" title=" feed resources"> feed resources</a>, <a href="https://publications.waset.org/abstracts/search?q=livestock%20production" title=" livestock production"> livestock production</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20security" title=" food security"> food security</a>, <a href="https://publications.waset.org/abstracts/search?q=Sub-Saharan" title=" Sub-Saharan"> Sub-Saharan</a> </p> <a href="https://publications.waset.org/abstracts/156542/progress-challenges-and-prospects-of-non-conventional-feed-resources-for-livestock-production-in-sub-saharan-africa-a-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156542.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">114</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2276</span> Modelling Fluoride Pollution of Groundwater Using Artificial Neural Network in the Western Parts of Jharkhand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neeta%20Kumari">Neeta Kumari</a>, <a href="https://publications.waset.org/abstracts/search?q=Gopal%20Pathak"> Gopal Pathak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Artificial neural network has been proved to be an efficient tool for non-parametric modeling of data in various applications where output is non-linearly associated with input. It is a preferred tool for many predictive data mining applications because of its power , flexibility, and ease of use. A standard feed forward networks (FFN) is used to predict the groundwater fluoride content. The ANN model is trained using back propagated algorithm, Tansig and Logsig activation function having varying number of neurons. The models are evaluated on the basis of statistical performance criteria like Root Mean Squarred Error (RMSE) and Regression coefficient (R2), bias (mean error), Coefficient of variation (CV), Nash-Sutcliffe efficiency (NSE), and the index of agreement (IOA). The results of the study indicate that Artificial neural network (ANN) can be used for groundwater fluoride prediction in the limited data situation in the hard rock region like western parts of Jharkhand with sufficiently good accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Artificial%20neural%20network%20%28ANN%29" title="Artificial neural network (ANN)">Artificial neural network (ANN)</a>, <a href="https://publications.waset.org/abstracts/search?q=FFN%20%28Feed-forward%20network%29" title=" FFN (Feed-forward network)"> FFN (Feed-forward network)</a>, <a href="https://publications.waset.org/abstracts/search?q=backpropagation%20algorithm" title=" backpropagation algorithm"> backpropagation algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=Levenberg-Marquardt%20algorithm" title=" Levenberg-Marquardt algorithm"> Levenberg-Marquardt algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=groundwater%20fluoride%20contamination" title=" groundwater fluoride contamination"> groundwater fluoride contamination</a> </p> <a href="https://publications.waset.org/abstracts/19324/modelling-fluoride-pollution-of-groundwater-using-artificial-neural-network-in-the-western-parts-of-jharkhand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19324.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">550</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2275</span> Valorization of By-Products through Feed Formulation for Tilapia sp: Zootechnical Performance Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Redhouane%20Benfares">Redhouane Benfares</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamel%20Boudjemaa"> Kamel Boudjemaa</a>, <a href="https://publications.waset.org/abstracts/search?q=Affaf%20Kord"> Affaf Kord</a>, <a href="https://publications.waset.org/abstracts/search?q=Sonia%20Messis"> Sonia Messis</a>, <a href="https://publications.waset.org/abstracts/search?q=Linda%20Farai"> Linda Farai</a>, <a href="https://publications.waset.org/abstracts/search?q=Belkacem%20Guenachi"> Belkacem Guenachi</a>, <a href="https://publications.waset.org/abstracts/search?q=Kherarba%20Maha"> Kherarba Maha</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaroslava%20%C5%A0Varc-Gaji%C4%87"> Jaroslava ŠVarc-Gajić</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years valorization of biowaste has attracted a lot of attention worldwide owing to its high nutritional value and low price. In this work, biowaste of animal (sardines) and plant (tomato) biowaste was used to formulate a new feed for red tilapia that showed to be competitive in its price, and zootechnical performance in comparison to commercially available tilapia feeds. Mathematical modelling was used to formulate optimal feed composition with favorable chemical composition and the lowest price. Formulated feed had high protein content (40.76%) and an energy value of 279.6 Kcal/100 g. Optimised feed was manufactured and compared to commercially available reference feed with respect to feeding intake, feed efficiency, the specific growth rate of fingerlings of Tilapia sp, and, most important, zootechnical parameters. With a fish survival rate of 100% calculated feed conversion index for the formulated feed was 2.7. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conversion%20index" title="conversion index">conversion index</a>, <a href="https://publications.waset.org/abstracts/search?q=fish%20waste" title=" fish waste"> fish waste</a>, <a href="https://publications.waset.org/abstracts/search?q=formulated%20feed" title=" formulated feed"> formulated feed</a>, <a href="https://publications.waset.org/abstracts/search?q=tomato%20waste" title=" tomato waste"> tomato waste</a> </p> <a href="https://publications.waset.org/abstracts/157767/valorization-of-by-products-through-feed-formulation-for-tilapia-sp-zootechnical-performance-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157767.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2274</span> Modeling and Dynamics Analysis for Intelligent Skid-Steering Vehicle Based on Trucksim-Simulink</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yansong%20Zhang">Yansong Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xueyuan%20Li"> Xueyuan Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Junjie%20Zhou"> Junjie Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Xufeng%20Yin"> Xufeng Yin</a>, <a href="https://publications.waset.org/abstracts/search?q=Shihua%20Yuan"> Shihua Yuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuxian%20Liu"> Shuxian Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aiming at the verification of control algorithms for skid-steering vehicles, a vehicle simulation model of 6×6 electric skid-steering unmanned vehicle was established based on Trucksim and Simulink. The original transmission and steering mechanism of Trucksim are removed, and the electric skid-steering model and a closed-loop controller for the vehicle speed and yaw rate are built in Simulink. The simulation results are compared with the ones got by theoretical formulas. The results show that the predicted tire mechanics and vehicle kinematics of Trucksim-Simulink simulation model are closed to the theoretical results. Therefore, it can be used as an effective approach to study the dynamic performance and control algorithm of skid-steering vehicle. In this paper, a method of motion control based on feed forward control is also designed. The simulation results show that the feed forward control strategy can make the vehicle follow the target yaw rate more quickly and accurately, which makes the vehicle have more maneuverability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=skid-steering" title="skid-steering">skid-steering</a>, <a href="https://publications.waset.org/abstracts/search?q=Trucksim-Simulink" title=" Trucksim-Simulink"> Trucksim-Simulink</a>, <a href="https://publications.waset.org/abstracts/search?q=feedforward%20control" title=" feedforward control"> feedforward control</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamics" title=" dynamics"> dynamics</a> </p> <a href="https://publications.waset.org/abstracts/84745/modeling-and-dynamics-analysis-for-intelligent-skid-steering-vehicle-based-on-trucksim-simulink" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84745.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">324</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2273</span> Assessing Artificial Neural Network Models on Forecasting the Return of Stock Market Index</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Rostami%20Jaz">Hamid Rostami Jaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamran%20Ameri%20Siahooei"> Kamran Ameri Siahooei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Up to now different methods have been used to forecast the index returns and the index rate. Artificial intelligence and artificial neural networks have been one of the methods of index returns forecasting. This study attempts to carry out a comparative study on the performance of different Radial Base Neural Network and Feed-Forward Perceptron Neural Network to forecast investment returns on the index. To achieve this goal, the return on investment in Tehran Stock Exchange index is evaluated and the performance of Radial Base Neural Network and Feed-Forward Perceptron Neural Network are compared. Neural networks performance test is applied based on the least square error in two approaches of in-sample and out-of-sample. The research results show the superiority of the radial base neural network in the in-sample approach and the superiority of perceptron neural network in the out-of-sample approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=exchange%20index" title="exchange index">exchange index</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=perceptron%20neural%20network" title=" perceptron neural network"> perceptron neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=Tehran%20stock%20exchange" title=" Tehran stock exchange"> Tehran stock exchange</a> </p> <a href="https://publications.waset.org/abstracts/51503/assessing-artificial-neural-network-models-on-forecasting-the-return-of-stock-market-index" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51503.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">464</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2272</span> Assessment of Microbiological Feed Safety from Serbian Market from 2013 to 2017</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danijela%20Vukovi%C4%87">Danijela Vuković</a>, <a href="https://publications.waset.org/abstracts/search?q=Radovan%20%C4%8Cobanovi%C4%87"> Radovan Čobanović</a>, <a href="https://publications.waset.org/abstracts/search?q=Milorad%20Pla%C4%8Dki%C4%87"> Milorad Plačkić</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The expansion of population imposes increase in usage of animal meat, on whose quality directly affects the quality of the feed that the animals are fed with. The selection of raw materials, hygiene during the technological process, various hydrothermal treatments, methods of mixing etc. have an influence on the quality of feed. Monitoring of the feed is very important to obtain information about the quality of feed and the possible prevention of animal diseases which can lead to different human diseases outbreaks. In this study parameters of feed safety were monitored. According to the mentioned, the goal of this study was to evaluate microbiological safety of feed (feedstuffs and complete mixtures). Total number of analyzed samples was 4399. Analyzed feed samples were collected in various retail shops and feed factories during the period of 44 months (from January 2013 untill September 2017). Samples were analyzed on Salmonella spp. and Clostridium perfringens in quantity of 50g according to Serbian regulation. All microorganisms were tested according to ISO methodology: Salmonella spp. ISO 6579:2002 and Clostridium perfringens ISO 7937:2004. Out of 4399 analyzed feed samples 97,5% were satisfactory and 2,5% unsatisfactory concerning Salmonella spp. As far as Clostridium perfringens is concerned 100% of analyzed samples were satisfactory. The obtained results suggest that technological processing of feed in Serbia is at high level when it comes to safety and hygiene of the products, but there are still possibilities for progress and improvement which only can be reached trough the permanent monitoring of feed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microbiology" title="microbiology">microbiology</a>, <a href="https://publications.waset.org/abstracts/search?q=safety" title=" safety"> safety</a>, <a href="https://publications.waset.org/abstracts/search?q=hygiene" title=" hygiene"> hygiene</a>, <a href="https://publications.waset.org/abstracts/search?q=feed" title=" feed"> feed</a> </p> <a href="https://publications.waset.org/abstracts/71022/assessment-of-microbiological-feed-safety-from-serbian-market-from-2013-to-2017" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71022.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">304</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2271</span> Performance Enrichment of Deep Feed Forward Neural Network and Deep Belief Neural Networks for Fault Detection of Automobile Gearbox Using Vibration Signal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Praveenkumar">T. Praveenkumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Kulpreet%20Singh"> Kulpreet Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Divy%20Bhanpuriya"> Divy Bhanpuriya</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Saimurugan"> M. Saimurugan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study analysed the classification accuracy for gearbox faults using Machine Learning Techniques. Gearboxes are widely used for mechanical power transmission in rotating machines. Its rotating components such as bearings, gears, and shafts tend to wear due to prolonged usage, causing fluctuating vibrations. Increasing the dependability of mechanical components like a gearbox is hampered by their sealed design, which makes visual inspection difficult. One way of detecting impending failure is to detect a change in the vibration signature. The current study proposes various machine learning algorithms, with aid of these vibration signals for obtaining the fault classification accuracy of an automotive 4-Speed synchromesh gearbox. Experimental data in the form of vibration signals were acquired from a 4-Speed synchromesh gearbox using Data Acquisition System (DAQs). Statistical features were extracted from the acquired vibration signal under various operating conditions. Then the extracted features were given as input to the algorithms for fault classification. Supervised Machine Learning algorithms such as Support Vector Machines (SVM) and unsupervised algorithms such as Deep Feed Forward Neural Network (DFFNN), Deep Belief Networks (DBN) algorithms are used for fault classification. The fusion of DBN & DFFNN classifiers were architected to further enhance the classification accuracy and to reduce the computational complexity. The fault classification accuracy for each algorithm was thoroughly studied, tabulated, and graphically analysed for fused and individual algorithms. In conclusion, the fusion of DBN and DFFNN algorithm yielded the better classification accuracy and was selected for fault detection due to its faster computational processing and greater efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20belief%20networks" title="deep belief networks">deep belief networks</a>, <a href="https://publications.waset.org/abstracts/search?q=DBN" title=" DBN"> DBN</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20feed%20forward%20neural%20network" title=" deep feed forward neural network"> deep feed forward neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=DFFNN" title=" DFFNN"> DFFNN</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title=" fault diagnosis"> fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=fusion%20of%20algorithm" title=" fusion of algorithm"> fusion of algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration%20signal" title=" vibration signal"> vibration signal</a> </p> <a href="https://publications.waset.org/abstracts/126562/performance-enrichment-of-deep-feed-forward-neural-network-and-deep-belief-neural-networks-for-fault-detection-of-automobile-gearbox-using-vibration-signal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126562.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">114</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2270</span> An Approaching Index to Evaluate a forward Collision Probability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuan-Lin%20Chen">Yuan-Lin Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an approaching forward collision probability index (AFCPI) for alerting and assisting driver in keeping safety distance to avoid the forward collision accident in highway driving. The time to collision (TTC) and time headway (TH) are used to evaluate the TTC forward collision probability index (TFCPI) and the TH forward collision probability index (HFCPI), respectively. The Mamdani fuzzy inference algorithm is presented combining TFCPI and HFCPI to calculate the approaching collision probability index of the vehicle. The AFCPI is easier to understand for the driver who did not even have any professional knowledge in vehicle professional field. At the same time, the driver’s behavior is taken into account for suiting each driver. For the approaching index, the value 0 is indicating the 0% probability of forward collision, and the values 0.5 and 1 are indicating the 50% and 100% probabilities of forward collision, respectively. The AFCPI is useful and easy-to-understand for alerting driver to avoid the forward collision accidents when driving in highway. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=approaching%20index" title="approaching index">approaching index</a>, <a href="https://publications.waset.org/abstracts/search?q=forward%20collision%20probability" title=" forward collision probability"> forward collision probability</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20to%20collision" title=" time to collision"> time to collision</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20headway" title=" time headway"> time headway</a> </p> <a href="https://publications.waset.org/abstracts/74855/an-approaching-index-to-evaluate-a-forward-collision-probability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74855.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">293</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2269</span> Efficacy of Vitamins A, C and E on the Growth Performance of Broiler Chickens Subjected to Heat Stress</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Desierin%20Rodrin">Desierin Rodrin</a>, <a href="https://publications.waset.org/abstracts/search?q=Magdalena%20Alcantara"> Magdalena Alcantara</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristina%20Olo"> Cristina Olo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The increase in environmental temperatures brought about by climate change impacts negatively the growth performance of broilers that may be solved by manipulating the diet of the animals. Hence, this study was conducted to evaluate the effects of different vitamin supplements on the growth performance of broiler chickens subjected to ambient (31°C) and heat stress (34°C) temperatures. The treatments were: I- Control (no vitamin supplement), II- Vitamin A (4.5 mg/kg of feed), III- Vitamin C (250 mg/kg of feed), IV- Vitamin E (250 mg/kg of feed), V- Vitamin C and E (250 mg/kg of feed and 250 mg/kg of feed), VI- Vitamin A and E (4.5 mg/kg of feed and 250 mg/kg of feed), VII- Vitamin A and C (4.5 mg/kg of feed and 250 mg/kg of feed), and VIII- Vitamin A, C and E (4.5 mg/kg of feed, 250 mg/kg of feed and 250 mg/kg of feed). The birds (n=240) were distributed randomly into eight treatments replicated three times, with each replicates having five birds. Ambient temperature was maintained using a 25 watts bulb for every 20 birds, while heat stress condition was sustained at 34°C for about 9 hours daily by using a 50 watts bulb per 5 birds. The interaction of vitamin supplements and temperatures did not significantly (P>0.05) affected body weight, average daily gain, feed consumption and feed conversion efficiency throughout the growing period. Similarly, supplementation of different vitamins did not improve (P>0.05) the overall production performance of birds throughout the rearing period. Birds raised in heat stress (34°C) condition had significantly lower ((P<0.05) body weight, average daily gain, and feed consumption compared to birds raised in ambient temperature at weeks 3, 4 and 5 of rearing. Supplementation of vitamins A, C, and E in the diet of broilers did not alleviate the effect of heat stress in the growth performance of broilers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=broiler%20growth%20performance" title="broiler growth performance">broiler growth performance</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20stress" title=" heat stress"> heat stress</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20supplementation" title=" vitamin supplementation"> vitamin supplementation</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20A" title=" vitamin A"> vitamin A</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20C" title=" vitamin C"> vitamin C</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20E" title=" vitamin E"> vitamin E</a> </p> <a href="https://publications.waset.org/abstracts/68238/efficacy-of-vitamins-a-c-and-e-on-the-growth-performance-of-broiler-chickens-subjected-to-heat-stress" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68238.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">292</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2268</span> Forecasting Optimal Production Program Using Profitability Optimization by Genetic Algorithm and Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Galal%20H.%20Senussi">Galal H. Senussi</a>, <a href="https://publications.waset.org/abstracts/search?q=Muamar%20Benisa"> Muamar Benisa</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanja%20Vasin"> Sanja Vasin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In our business field today, one of the most important issues for any enterprises is cost minimization and profit maximization. Second issue is how to develop a strong and capable model that is able to give us desired forecasting of these two issues. Many researches deal with these issues using different methods. In this study, we developed a model for multi-criteria production program optimization, integrated with Artificial Neural Network. The prediction of the production cost and profit per unit of a product, dealing with two obverse functions at same time can be extremely difficult, especially if there is a great amount of conflict information about production parameters. Feed-Forward Neural Networks are suitable for generalization, which means that the network will generate a proper output as a result to input it has never seen. Therefore, with small set of examples the network will adjust its weight coefficients so the input will generate a proper output. This essential characteristic is of the most important abilities enabling this network to be used in variety of problems spreading from engineering to finance etc. From our results as we will see later, Feed-Forward Neural Networks has a strong ability and capability to map inputs into desired outputs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=project%20profitability" title="project profitability">project profitability</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-objective%20optimization" title=" multi-objective optimization"> multi-objective optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=Pareto%20set" title=" Pareto set"> Pareto set</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/9868/forecasting-optimal-production-program-using-profitability-optimization-by-genetic-algorithm-and-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9868.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">445</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2267</span> Cost Effective and Efficient Feeding: A Way Forward for Sustainable and Profitable Aquaculture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pawan%20Kumar%20Sharma">Pawan Kumar Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Stephan%20Sampath%20Kumar"> J. Stephan Sampath Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Anand"> S. Anand</a>, <a href="https://publications.waset.org/abstracts/search?q=Chandana%20B.%20L."> Chandana B. L.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Protein is the major component for the success in culture of shrimp and fishes. Apparently, excess dietary protein is undesirable, as it not only enhances the production cost but also leads to water quality deterioration. A field survey was conducted with aqua farmers of Kerala, India, a leading state in coastal aquaculture, to assess the role of protein component in feed that can be efficiently and effectively managed for sustainable aquaculture. The study showed an average feed amount of 13.55 ± 2.16 tonnes per hectare was being used by the farmers of Kerala. The average feed cost percentage of Rs. 57.76 ± 13.46 /kg was invested for an average protein level of 36.26 % ± 0.082 in the feed and Rs.78.95 ± 3.086 per kilogram of feed was being paid by the farmers. Study revealed that replacement of fish meal and fish oil within shrimp aquafeeds with alternative protein, and lipid sources can only be achieved if changes are made in the basic shrimp culturing practices, such as closed farming system through water recycling or zero-water exchange, and by maximizing in-situ, floc and natural food production within the culture system. The upshot of such production systems is that imports of high-quality feed ingredients and aqua feeds can eventually be eliminated, and the utilization of locally available feed ingredients from agricultural by-products can be greatly improved and maximized. The promotion of closed shrimp production systems would also greatly reduce water use and increase shrimp production per unit area but would necessitate the continuous provision of electricity for aeration during production. Alternative energy sources such as solar power might be used, and resource poor farming communities should also explore wind energy for use. The study concluded that farm made feed and closed farming systems are essential for the sustainability and profitability of the aquaculture industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aqua%20feeds" title="aqua feeds">aqua feeds</a>, <a href="https://publications.waset.org/abstracts/search?q=floc" title=" floc"> floc</a>, <a href="https://publications.waset.org/abstracts/search?q=fish%20meal" title=" fish meal"> fish meal</a>, <a href="https://publications.waset.org/abstracts/search?q=protein" title=" protein"> protein</a>, <a href="https://publications.waset.org/abstracts/search?q=zero-water%20exchange" title=" zero-water exchange"> zero-water exchange</a> </p> <a href="https://publications.waset.org/abstracts/107839/cost-effective-and-efficient-feeding-a-way-forward-for-sustainable-and-profitable-aquaculture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107839.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">145</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2266</span> Growth Performance, Survival Rate and Feed Efficacy of Climbing Perch, Anabas testudineus, Feed Experimental Diet with Several Dosages of Papain Enzyme</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zainal%20A.%20Muchlisin">Zainal A. Muchlisin</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Iqbal"> Muhammad Iqbal</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20A.%20Muhammadar"> Abdullah A. Muhammadar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of the present study was to determine the optimum dose of papain enzyme in the diet for growing, survival rate and feed efficacy of climbing perch (Anabas testudineus). The study was conducted at the Laboratory of Aquatic of Faculty of Veterinary, Syiah Kuala University from January to March 2016. The completely randomized design was used in this study. Six dosages level of papain enzyme were tested with 4 replications i.e. 0 g kg-1 of feed, 20.0 g kg-1 feed, 22.5 g kg-1 of feed, 25.0 g kg-1 of feed, 27.5 g kg-1 of feed, and 30.0 g kg-1 of feed. The experimental fish fed twice a day at feeding level of 5% for 60 days. The results showed that weight gain ranged from 2.41g to 7.37g, total length gain ranged from 0.67cm to 3.17cm, specific growth rate ranged from 1.46 % day to 3.41% day, daily growth rate ranged from 0.04 g day to 0.13 g day, feed conversion ratio ranged from 1.94 to 3.59, feed efficiency ranged from 27.99% to 51.37%, protein retention ranged from 3.38% to 28.28%, protein digestibility ranged from 50.63% to 90.38%, and survival rate ranged from 88.89% to 100%. The highest rate for all parameters was found in the dosage of 3.00% papain enzyme kg feed. The ANOVA test showed that enzyme papain gave a significant effect on the weight gain, total length gain, daily growth rate, specific growth rate, feed conversion ratio, feed efficiency, protein retention, protein digestibility, and survival rate of the climbing perch (Anabas testudieus). The best enzyme papain dosage was 3.0%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=betok" title="betok">betok</a>, <a href="https://publications.waset.org/abstracts/search?q=feed%20conversion%20ratio" title=" feed conversion ratio"> feed conversion ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=freshwater%20fish" title=" freshwater fish"> freshwater fish</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition" title=" nutrition"> nutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=feeding" title=" feeding"> feeding</a> </p> <a href="https://publications.waset.org/abstracts/73058/growth-performance-survival-rate-and-feed-efficacy-of-climbing-perch-anabas-testudineus-feed-experimental-diet-with-several-dosages-of-papain-enzyme" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73058.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">236</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2265</span> The Effect of the Earthworm (Lumbricus rubellus) as the Source of Protein Feed and Pathogen Antibacterial for Broiler</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Waode%20Nurmayani">Waode Nurmayani</a>, <a href="https://publications.waset.org/abstracts/search?q=Nikmatul%20Riswanda"> Nikmatul Riswanda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Broilers are chickens which are kept with the most efficient time and hoped get a good body weight. All things are done, for example with the improvement of feed and use antibiotics. Feed cost is the most cost to be spent. Nearly 80% of the cost is spent just for buy feed. Earthworm (Lumbricus rubellus) is a good choice to reduce the cost of feed protein source. The Earthworm has a high crude protein content of about 48.5%-61.9%, rich with proline amino acid about 15% of the 62 amino acids. Not only about protein, this earthworm also has a role in disease prevention. Prevention of disease in livestock usual with use feed supplement. Earthworm (Lumbricus rubellus) is one of the natural materials used as feed. In addition, several types of earthworms that have been known to contain active substances about antibacterial pathogens namely Lumbricus rubellus. The earthworm could be used as an antibiotic because it contain the antibody of Lumbricine active substance. So that, this animal feed from Lumbricus rubellus could improve the performance of broilers. Bioactive of anti-bacterial is called Lumbricine able to inhibit the growth of pathogenic bacteria in the intestinal wall so that the population of pathogenic bacteria is reduced. The method of write in this scientific writing is divided into 3 techniques, namely data completion, data analysis, and thinking pan from various literature about earthworm (Lumbricus rubellus) as broiler feed. It is expected that innovation of feed material of earthworm (Lumbricus rubellus) could reduce the cost of protein feed and the use of chemical antibiotics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=earthworm" title="earthworm">earthworm</a>, <a href="https://publications.waset.org/abstracts/search?q=broiler" title=" broiler"> broiler</a>, <a href="https://publications.waset.org/abstracts/search?q=protein" title=" protein"> protein</a>, <a href="https://publications.waset.org/abstracts/search?q=antibiotic" title=" antibiotic"> antibiotic</a> </p> <a href="https://publications.waset.org/abstracts/85943/the-effect-of-the-earthworm-lumbricus-rubellus-as-the-source-of-protein-feed-and-pathogen-antibacterial-for-broiler" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85943.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2264</span> A Research About to Determination the Quality of Feed Oils Used as Mixedfeed Raw Material from Some Feed Factories in Konya-Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G%C3%BCl%C5%9Fah%20Kanbur">Gülşah Kanbur</a>, <a href="https://publications.waset.org/abstracts/search?q=Veysel%20Ayhan"> Veysel Ayhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Feed oil samples which are used as mixed feed raw material were taken from six different feed factories in March, May and July. All factories make production in Konya, Turkey and all of the samples were which taken are crude soybean oil. Some physical and chemical analysis, free radical scavenger effect and total phenol content were determined on these oil samples. Moisture content was found between 0.10-22.23 %, saponification number was determined 143.13 to 167.93 KOH/kg, free fatty acidity was varied 0.73 to 35.00 % , peroxide value was found between 1.53 and 28.43 meq/kg , unsaponifiable matter was determined from 0.40 to 17.10 % , viscosity was found between 34.30 and 625.67 mPas, sediment amount was determined between 0.60-18.16 % , free radical scavenger effect was varied 20.7 to 43.04 % inhibition of the extract and total phenol content was found between 1.20 and 2.69 mg/L extract. Different results were found between months and factories. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crude%20soybean%20oil" title="crude soybean oil">crude soybean oil</a>, <a href="https://publications.waset.org/abstracts/search?q=feed%20oils" title=" feed oils"> feed oils</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed%20feed" title=" mixed feed"> mixed feed</a>, <a href="https://publications.waset.org/abstracts/search?q=Konya" title=" Konya"> Konya</a> </p> <a href="https://publications.waset.org/abstracts/28799/a-research-about-to-determination-the-quality-of-feed-oils-used-as-mixedfeed-raw-material-from-some-feed-factories-in-konya-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28799.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">313</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2263</span> Opportunities for Precision Feed in Apiculture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=John%20Michael%20Russo">John Michael Russo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Honeybees are important to our food system and continue to suffer from high rates of colony loss. Precision feed has brought many benefits to livestock cultivation and these should transfer to apiculture. However, apiculture has unique challenges. The objective of this research is to understand how principles of precision agriculture, applied to apiculture and feed specifically, might effectively improve state-of-the-art cultivation. The methodology surveys apicultural practice to build a model for assessment. First, a review of apicultural motivators is made. Feed method is then evaluated. Finally, precision feed methods are examined as accelerants with potential to advance the effectiveness of feed practice. Six important motivators emerge: colony loss, disease, climate change, site variance, operational costs, and competition. Feed practice itself is used to compensate for environmental variables. The research finds that the current state-of-the-art in apiculture feed focuses on critical challenges in the management of feed schedules which satisfy requirements of the bees, preserve potency, optimize environmental variables, and manage costs. Many of the challenges are most acute when feed is used to dispense medication. Technology such as RNA treatments have even more rigorous demands. Precision feed solutions focus on strategies which accommodate specific needs of individual livestock. A major component is data; they integrate precise data with methods that respond to individual needs. There is enormous opportunity for precision feed to improve apiculture through the integration of precision data with policies to translate data into optimized action in the apiary, particularly through automation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=precision%20agriculture" title="precision agriculture">precision agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20feed" title=" precision feed"> precision feed</a>, <a href="https://publications.waset.org/abstracts/search?q=apiculture" title=" apiculture"> apiculture</a>, <a href="https://publications.waset.org/abstracts/search?q=honeybees" title=" honeybees"> honeybees</a> </p> <a href="https://publications.waset.org/abstracts/154810/opportunities-for-precision-feed-in-apiculture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154810.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2262</span> Artificial Neural Network Modeling of a Closed Loop Pulsating Heat Pipe</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vipul%20M.%20Patel">Vipul M. Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=Hemantkumar%20B.%20Mehta"> Hemantkumar B. Mehta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Technological innovations in electronic world demand novel, compact, simple in design, less costly and effective heat transfer devices. Closed Loop Pulsating Heat Pipe (CLPHP) is a passive phase change heat transfer device and has potential to transfer heat quickly and efficiently from source to sink. Thermal performance of a CLPHP is governed by various parameters such as number of U-turns, orientations, input heat, working fluids and filling ratio. The present paper is an attempt to predict the thermal performance of a CLPHP using Artificial Neural Network (ANN). Filling ratio and heat input are considered as input parameters while thermal resistance is set as target parameter. Types of neural networks considered in the present paper are radial basis, generalized regression, linear layer, cascade forward back propagation, feed forward back propagation; feed forward distributed time delay, layer recurrent and Elman back propagation. Linear, logistic sigmoid, tangent sigmoid and Radial Basis Gaussian Function are used as transfer functions. Prediction accuracy is measured based on the experimental data reported by the researchers in open literature as a function of Mean Absolute Relative Deviation (MARD). The prediction of a generalized regression ANN model with spread constant of 4.8 is found in agreement with the experimental data for MARD in the range of ±1.81%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANN%20models" title="ANN models">ANN models</a>, <a href="https://publications.waset.org/abstracts/search?q=CLPHP" title=" CLPHP"> CLPHP</a>, <a href="https://publications.waset.org/abstracts/search?q=filling%20ratio" title=" filling ratio"> filling ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20regression" title=" generalized regression"> generalized regression</a>, <a href="https://publications.waset.org/abstracts/search?q=spread%20constant" title=" spread constant"> spread constant</a> </p> <a href="https://publications.waset.org/abstracts/59151/artificial-neural-network-modeling-of-a-closed-loop-pulsating-heat-pipe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59151.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">292</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2261</span> Effect of Bactocellon White Leg Shrimp (Litopenaeusvannamei) Growth Performance and the Shrimp Survival to Vibrio paraheamolyticus</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Soltani">M. Soltani</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Pakzad"> K. Pakzad</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Haghigh-Khiyabani"> A. Haghigh-Khiyabani</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Alavi"> M. Alavi</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Naderi"> R. Naderi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Castex"> M. Castex</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Effect of probiotic Bactocell (Pediococcus acidilactici) as a supplementary diet was studied on post-larvae 12-15 of white leg shrimp (Litopenaeus vannamei) (150000 PL/0.5 h pond, average body weight=0.02 g) growth performance under farm condition for 102 days at water quality parameters consisting of temperature at 30.5-36οC, dissolved oxygen 4.1-6.6 mg/l, salinity 40-54 g/l, turbidity 35-110 cm, ammonia 0.1-0.8 mg/l and nitrite 0.1-0.9 mg/l. Also, the resistance level of the treated shrimps was assessed against a virulent strain of Vibrio paraheamolyticus as intramuscular injection route at 1.4 x 106 cells/shrimp. Significantly higher growth rate (11.3±1.54 g) and lower feed conversion ratio (1.1) were obtained in shrimps fed diets supplemented with Bactocell at 350 g/ tone feed compared to other treatments of 250 g Bactocell/ton feed (10.8±2 g, 1.3), 500 g Bactocell/ton feed (10.3±1.7 g, 1.3) and untreated control (10.1±2 g, 1.4). Also, thermal growth coefficient (0.057%) and protein efficiency ratio (2.13) were significantly improved in shrimps fed diets supplemented with Bactocell at 350 g/ton feed compare to other groups. Shrimps fed diet supplemented with Bactocell at 350 g/tone feed showed significantly higher protein content (72.56%) in their carcass composition than treatments of 250 g/ton feed (65.9%), 500 g/ton feed (67.5%) and control group (65.9%), while the carcass contents of moisture, lipid and ash in all shrimp groups were not significantly affected by different concentrations of Bactocell. No mortality occurred in the experimentally infected shrimps fed with Bactocell at 500 g/tone feed after 7 hours post-challenge with V. parahemolyticus. The mortality levels of 100%, 40%, 50% and 70% were obtained in shrimps fed with 0.0, 500 g/tone feed, 350 g/ton feed and 250 g/ton feed, respectively 14 hours post-infection. Also, the cumulative mortalities were achieved in 100%, 92% and 81% in shrimps few with Bactocell at 500 g/ton feed, 250 g/ton feed and 350 g/ton feed, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=litopenaeus%20vannamei" title="litopenaeus vannamei">litopenaeus vannamei</a>, <a href="https://publications.waset.org/abstracts/search?q=vibrio%20paraheamolyticus" title=" vibrio paraheamolyticus"> vibrio paraheamolyticus</a>, <a href="https://publications.waset.org/abstracts/search?q=pediococcus%20acidilactici" title=" pediococcus acidilactici"> pediococcus acidilactici</a>, <a href="https://publications.waset.org/abstracts/search?q=growth%20performance" title=" growth performance"> growth performance</a>, <a href="https://publications.waset.org/abstracts/search?q=bactocell" title=" bactocell "> bactocell </a> </p> <a href="https://publications.waset.org/abstracts/8858/effect-of-bactocellon-white-leg-shrimp-litopenaeusvannamei-growth-performance-and-the-shrimp-survival-to-vibrio-paraheamolyticus" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8858.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">677</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2260</span> Development and Performance Evaluation of a Gladiolus Planter in Field for Planting Corms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20P.%20Singh">T. P. Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Vijay%20Gautam"> Vijay Gautam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Gladiolus is an important cash crop and is grown mainly for its elegant spikes. Traditionally the gladiolus corms are planted manually which is very tedious, time consuming and labor intensive operation. So far, there is no planter available for planting of gladiolus corms. With a view to mechanize the planting operation of this horticultural crop, a prototype of 4-row gladiolus planter was developed and its performance was evaluated in-situ condition. Cup-chain type metering device was used to singulate the gladiolus corms while planting. Three levels of corm spacing viz 15, 20 and 25 cm and four levels of forward speed viz 1.0, 1.5, 2.0 and 2.5 km/h was taken as evaluation parameter for the planter. The performance indicators namely corm spacing in each row, coefficient of uniformity, missing index, multiple index, quality of feed index, number of corms per meter length, mechanical damage to the corms etc. were determined during the field test. The data was statistically analyzed using Completely Randomized Design (CRD) for testing the significance of the parameters. The result indicated that planter was able to drop the corms at required nominal spacing with minor variations. The highest deviation from the mean corm spacing was observed as 3.53 cm with maximum coefficient of variation as 13.88%. The highest missing and quality of feed indexes were observed as 6.33% and 97.45% respectively with no multiples. The performance of the planter was observed better at lower forward speed and wider corm spacing. The field capacity of the planter was found as 0.103 ha/h with an observed field efficiency of 76.57%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coefficient%20of%20uniformity" title="coefficient of uniformity">coefficient of uniformity</a>, <a href="https://publications.waset.org/abstracts/search?q=corm%20spacing" title=" corm spacing"> corm spacing</a>, <a href="https://publications.waset.org/abstracts/search?q=gladiolus%20planter" title=" gladiolus planter"> gladiolus planter</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanization" title=" mechanization"> mechanization</a> </p> <a href="https://publications.waset.org/abstracts/37698/development-and-performance-evaluation-of-a-gladiolus-planter-in-field-for-planting-corms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37698.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">239</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2259</span> Camel Mortalities Due to Accidental Intoxcation with Ionophore</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Abdelfattah">M. A. Abdelfattah</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20K.%20Waleed"> F. K. Waleed </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anticoccidials were utilized widely in veterinary practice for the avoidance of coccidiosis in poultry and assume a huge job as development promotants in ruminants. Ionophore harming is every now and again happens because of accidental access to medicated feed, errors in feed mixing, incorrect dosage calculation or misuse in non-recommended species. Camels on several farms in Eastern area of Saudi Arabia were accidently fed with a feed pellet containing 13 ppm salinomycin. One hundred and sixty-three camels died with mortality rate of 100%. The poisoning was clinically characterized by restlessness with tail lift to the top, jerk in the muscles of legs and thighs, excessive sweating, frequent setting and standing with body imbalance, lateral and sternal recumbences with the legs stretched back, eye tears with dilated pupil, vomiting of the stomach content, loss of consciousness and death of some of them. Feed analysis indicated the presence of salinomycin in pelleted feed in a range of 13 mg/kg-47 mg/kg. Necropsy findings and histopathological examinations were presented. Regulations and legal implications concerning with sale of contaminated feed in Saudi market are discussed in the light of feed law and by-law. The necessity for an effective implication of regulation concerning application of quality assurance systems based on the principles of Good Manufacturing Practice (GMP) and the application of Hazard Analysis of Critical Control Point (HACCP) during feed production is necessary to avoid feed accident. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=medicated%20feed" title="medicated feed">medicated feed</a>, <a href="https://publications.waset.org/abstracts/search?q=salinomycin" title=" salinomycin"> salinomycin</a>, <a href="https://publications.waset.org/abstracts/search?q=anticoccidial" title=" anticoccidial"> anticoccidial</a>, <a href="https://publications.waset.org/abstracts/search?q=camel" title=" camel"> camel</a>, <a href="https://publications.waset.org/abstracts/search?q=toxicity" title=" toxicity"> toxicity</a> </p> <a href="https://publications.waset.org/abstracts/127800/camel-mortalities-due-to-accidental-intoxcation-with-ionophore" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127800.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">113</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2258</span> Effect of Sweet Potato (Ipomoea batatas) Leaves on Wheat Offal Replacement for Chicks Feed Production</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20C.%20Okafor">C. C. Okafor</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20M.%20Ezeh"> T. M. Ezeh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The effect of addition of sweet potato leaves in replacement of wheat offal in the production of broiler chicks feed was studied. 72 day-old marshal strain chicks were used and brooded for two weeks with a normal commercial feed in Nigeria called top feed and weighed separately at the end of the two weeks, complete randomized design (CRD) was used. The weighed broiler chicks were randomly allocated to four dietary treatments. Each treatment was replicated to twice with eighteen birds per replicate. The four dietary treatment identified as T1, T2, T3 and T4. T1 served as control diet with 21% crude protein content, while T2 was prepared with Enzyme and in T3 and T4, wheat offal was replaced with sweet potato leaves and in T4 with inclusion of enzyme. Growth performance was studied using the following daily feed intake, daily weight gain and feed efficiency. The result in daily weight gain showed that chicks fed with T2 feed had the highest weight gain (93.75) while chicks fed with T3 had the least weight gain of (34.5 gm). In daily feed intake chicks fed with T4 fed more (53.06 gm) than chicks fed with T2 (51.08 gm). In feed efficiency T3 had the highest value of 30% while the T2 had the least efficiency of 22%. There was no significant difference (P≥ 0.05) in all the three parameter tested. Sweet potato leaves can replace wheat offal in broiler feed production without any adverse effect on the growth performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=broiler" title="broiler">broiler</a>, <a href="https://publications.waset.org/abstracts/search?q=diet" title=" diet"> diet</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary" title=" dietary"> dietary</a>, <a href="https://publications.waset.org/abstracts/search?q=potato%20leaves" title=" potato leaves"> potato leaves</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat%20offal" title=" wheat offal "> wheat offal </a> </p> <a href="https://publications.waset.org/abstracts/33351/effect-of-sweet-potato-ipomoea-batatas-leaves-on-wheat-offal-replacement-for-chicks-feed-production" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33351.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">526</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=feed%20forward&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=feed%20forward&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=feed%20forward&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=feed%20forward&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=feed%20forward&page=6">6</a></li> <li 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