The purpose of this paper is to explore the fundamentals of Six Sigma and its use in education. Six Sigma is a set of methodologies used by businesses to achieve extremely low failure rates in any process. Similarly it can be used to achieve overall excellence in the field of education. Six Sigma is a unified approach to process excellence. The strategy that has to be applied in today's educational arena is improving the overall performance of the students. This paper is in two parts. We first outline what is Six Sigma and then we propose how Six Sigma can be applied in educational field to participate in today's competitive world. The clients are the students and the quality of learning they achieve is the service. We can also say that student is the 'product', which the education institutions 'sell' to the future employer.
Abstract-In this paper, we explored the possibility of using Genetic Algorithm (GA) being used in Wireless Sensor Networks in general with specific emphasize on Fault tolerance. In Wireless sensor networks, usually sensor and sink nodes are separated by long communication distance and hence to optimize the energy, we are using clustering approach. Here we are employing improved K-means clustering algorithm to form the cluster and GA to find optimal use of sensor nodes and recover from fault as quickly as possible so that target detection won't be disrupted. This technique is simulated using Matlab software to check energy consumption and lifetime of the network. Based on the simulation results, we concluded that this model shows significant improvement in energy consumption rate and network lifetime than other method such as Traditional clustering or Simulated Annealing.
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