Abstract Using the reducing domain algorithms, we have studied the differences and issues in the available approaches to solve puzzles and have come out with a new deterministic approach for arriving at good solutions. Whereas other algorithms are available, we in this paper have provided a new kind of solution to this problem and found more acceptable results. We are confident... Using the reducing domain algorithms, we have studied the differences and issues in the available approaches to solve puzzles and have come out with a new deterministic approach for arriving at good solutions. Whereas other algorithms are available, we in this paper have provided a new kind of solution to this problem and found more acceptable results. We are confident that to solve the coding theory issues, this kind of development of effective deterministic algorithms. Read More Read Less

Abstract The local activity recognition is performed by the mobile devices in an effective manner which is tested in this work. We have used the accelerometer embedded mobile phone system for finding the activity recognition. The proposed model has been tested with the application of device performance. With a less reduction of mobile device performance, the activity recognition of the mobile... The local activity recognition is performed by the mobile devices in an effective manner which is tested in this work. We have used the accelerometer embedded mobile phone system for finding the activity recognition. The proposed model has been tested with the application of device performance. With a less reduction of mobile device performance, the activity recognition of the mobile phones is possible. Read More Read Less

Abstract Many scientific applications are depending on kernel for which we have used the Reed-Muller transform in this work. The function of the multicore GPU and CPU are used to enhance the capability of the software operations. We have introduced the parallel computing for the correct use of fixed polarity Reed Muller transforms of the Boolean operations. The search algorithms have... Many scientific applications are depending on kernel for which we have used the Reed-Muller transform in this work. The function of the multicore GPU and CPU are used to enhance the capability of the software operations. We have introduced the parallel computing for the correct use of fixed polarity Reed Muller transforms of the Boolean operations. The search algorithms have impact on it and the best algorithm is implemented with sequential code and also by using the Message Parsing Interface framework. The final performance outcome is studied with the other computational outcome of the multicore CPU using time involved in computation. Read More Read Less