<span lang="EN-US">Photovoltaic (PV) panels have drawback of having their peak power reduced when clouds or shade are present. Furthermore, it is only available while the sun shine. Nearby structures, plants, bird droppings, and other obstacles shade operating photovoltaic (PV) devices, effectively reducing the incident solar radiation produced by the modules. When these PV panels are exposed to partial shading, their power efficiency is reduced. A neural network with a kind of artificial neural network is used in the suggested hybrid method (ANN). The key focus of this article is to use environmental effects dependent on partial shading to get the maximum performance from a solar system. The suggested hybrid solution is tested in the MATLAB/Simulink working platform using partial shading test cases, and the efficiency is compared to other approaches. Additionally, the best options for the suggested procedure, current, voltage, and power are examined.</span>
The aim of this paper is to determine the performance enhancement of the network for eliminating congestion through the use of the benefits of algorithms. These algorithms can be used in hindering the congestion which may occur within the network that relies on a Transmission Control Protocol (TCP) protocol. This paper specifically focuses on demonstrating the function of TCP, and most especially the four (slow start, congestion avoidance, fast retransmit and fast recovery algorithms) that are applied in the control of congestion. In the study, the varying effects of connection link from PPP DS1 to PPP DS3 on the network’s performance are investigated.
<p>As the rapid growth of multimedia application over the Internet, it is essential to preserve the Quality of Service (QoS), which is certifying the guaranteed service through the Internet and representing the biggest challenges for the current IP based services. Multimedia traffic usage has been increased in relation to the streaming media such as video conferencing using OPNET, the performance can be simulated based on heavy and light scenarios for video conferencing including web traffic. The overall WLAN load data are obtained for such scenarios, also the performance of simulated overall Delay in the three scenario networks is measured<strong><em>.</em></strong></p>
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