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The CPU scheduling is the basis of multi-programming operating systems. By switching the CPU among processes, the operating system can make the computer more productive. The scheduler controls the way processes are managed in the operating system. Linux supports preemptive multitasking, this means that the process scheduler decides which process runs and when. Balance performance across different computer configurations is one challenge in modern operating systems.Linux has two separate process-scheduling algorithms. If a Linux system performs similar tasks in a regular manner, it could be useful to implement optimizations to the Linux scheduler to optimize the performance of those tasks. In this project, we analyze and evaluate the impact of changing the kernel values on the performance of the calculation of 8,765,4321 digits of pi using the Leibniz formula measuring the time that the system takes to perform the calculation.

This report is about Python and Django and can be useful for students for report submission.

In this project the behavior of the Faraday cage as an insulator against an induced load, either by an effect of nature as lightning or lightning or power surges be considered. As we know the Faraday cage is a conductor of electric current and therefore theoretically there will be inside a magnetic field or electromagnetic wave in the same way there will be no magnetic field.

This research paper aims at exploiting efficient ways of implementing the N-Body problem. The N-Body problem, in the field of physics, predicts the movements and planets and their gravitational interactions. In this paper, the efficient execution of heavy computational work through usage of different cores in CPU and GPU is looked into; achieved by integrating the OpenMP parallelization API and the Nvidia CUDA into the code. The paper also aims at performance analysis of various algorithms used to solve the same problem. This research not only aids as an alternative to complex simulations but also for bigger data that requires work distribution and computationally expensive procedures.

En ingenieria un canal es una construccion cuyo destino es el transporte de fluidos en donde se busca realizar una descripcion del comportamiento hidraulico de los canales, en este trabajo se busca determinar ciertos parametros de un canal para observar el comportamiento del agua en este y calcular parametros por medio del flujo crítico en donde se deben plantear una serie de ecuaciones en función de su tirante crítico (Yc).

Mobile ad-hoc network (MANET) is a collection of mobile terminals forming an infrastructure less and quick deployable network, which can communicate to each other via multiple hops or single hop. Such ad-hoc networks have always been important for various applications like defence applications especially for countries like India having boundaries and regions with large geographical diversity. Mobility attribute is a notable one in MANETs, as this leads to frequent topology changes which are the primary cause of route failure. A route is an ordered set of links, hence for predicting future availability of any particular route, it is important to estimate the availability of its currently available constituent links. This paper explores various link availability prediction model and proposes a least square polynomial regression-based statistical approach to predict the availability of link. Proposed approach assumes that movement of nodes are based on column mobility model i.e each node in the network is linearly moving with constant speed. Each node in the network periodically broadcasts hello packets to its neighbours to inform it’s availability in the network. Neighbour node receives hello packet and uses its signal strength to estimate distance between sender and receiver of hello packet. A monotonically decreasing signal strength of hello packets at receiver node indicates that nodes are moving away from each other and link between them may break in future so it starts link residual time prediction algorithm to predict the time when the distance between them will exceed the pre-defined threshold value. The proposed algorithm is simulated using NS 2.35. The performance of the algorithm has been analyzed for identified parameters. The results are also been compared by simulating other existing link prediction approaches based on interpolation.

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Esse trabalho tem como objetivo formular problemas como busca.
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