In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) infection occurred in Wuhan, Hubei Province, China and spread across China and beyond. On February 12, 2020, WHO officially named the disease caused by the novel coronavirus as Coronavirus Disease 2019 (COVID-19). On January 30, 2020, WHO declared COVID-19 as the sixth public health emergency of international concern. One of the major preventions is frequent hand washing. An attempt has been made to design a low-cost automatic water tap as a measure to fight the spread of Coronavirus (Covid-19). The designed system uses simple, easy to get and low cost instruments. The system does not require a user to touch the water tap. It uses microcontroller to implement intelligence. The solar panel is used as a source of power. The system design uses green solution based automatic water tap. The system will be used in gatherings to avoid Coronavirus spreading. Such gathering places include hospitals, markets, bus stops, public transports, churches, mosques, and restaurants.
Computer scientists deal with computer science. They have strong mathematical components such as automata theory, computational complexity, numerical mathematics, and symbolic mathematics. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. This article seeks to answer the question as to why should computer scientists deal with numerical mathematics, which give estimates and cause errors, instead of analytical mathematics which give exact answers.Numerical mathematics is a very broad field. In this paper we focus on aspects of numerical mathematics which are related to computer science. Generally, numerical methods require a series of iterations until you come to an estimate close enough to the answer. Computer programs are very efficient in making iterations quickly and correctly. Therefore, computer scientists learn numerical methods so that they can enable people in other fields find solutions to mathematical problems. Computer scientists can use computers to generate the estimates, they can perform 1000, or 10000 iterations in a split of a second and hence get a result of high accuracy. The procedures can be coded easily and hence are well suited for computers. Authors present four basic numerical methods for equation solving: bisection method, Newton-Raphson method, regula falsi and Secant method. Results show that Many practical problems are beyond the scope of analytical mathematics.
The paper provides a prototype for multimedia content delivery with reduced channel code rate from conventional Non-Transmittable Codewords Enhanced Viterbi Algorithm. The code rate reduction was simulated using VB.NET Viterbi simulator available at College of Informatics and Virtual Education-University of Dodoma. The study approximates Uplink and downlink speeds limits of the prototype using High Speed Packet Access Evolved technology by assuming all other parameters remain constant. The uplink and downlink of the prototype is clearly presented. The code rate of 1/3 was obtained by simulating different 8-bits patterns. This code rate of 1/3 enabled reduction of encoder output bits from 48-bits to 24-bits, therefore, few bits would be sent to the network and bandwidth conservation is attained. This makes the prototype to be the good choice for low network bandwidth channel. In addition, the reduced code rate will reduce the expenses of user internet bundles, because number of MBs to be charged will be smaller. This prototype for multimedia delivery over network has three benefits, high data transmission reliability due to adopted NTC Enhanced Viterbi, minimum network bandwidth utilization and satisfied uplink and downlink access speed.
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