|Paper Type||::||Research Paper|
|Title||::||Optimizing Divide and Conquer Method for Matrix Multiplication Algorithm|
|Authors||::||Tancy V S|
There are many different algorithms for matrix multiplication. Commonly used matrix multiplications are conventional matrix multiplication and matrix multiplication using divide and conquer method including Strassen's matrix multiplication. In this paper I optimize the divide and conquer method for matrix multiplication by avoiding recomputation of the matrix elements. This new method is useful when multiplicands biggest and nearest digits.
Keywords: Algorithm, Matrix multiplication optimization, divide and conquer
. Alfred, V, Aho., John, E, Hopcroft., Jeffrey, D, Ullman., Design & Analysis of Computer Algorithms,Pearson
. Khaled, Thabet., King, Abdulaziz. Matrix Multiplication Algorithms., International Journal of Computer Science and Network Security, VOL.12 No.2, February 2012
. Pawan, Rathod., Ankit, Vartak., Neha, Kunte., Optimizing the Complexity of Matrix Multiplication Algorithm., 2017 International Conference on Intelligent Computing and Control (I2C2'17)
|Paper Type||::||Research Paper|
|Title||::||Modeling and Prediction of Traffic Noise Levels|
|Authors||::||V. Ramakrishna, N. Saigiri, K. Chakribabu, Saliha Sultana, M. Dhanunjay|
Noise is unwanted sound and Noise due to traffic is increasing due to increasing vehicular movement on the roads. The increased noise levels lead to several adverse impacts on health. Vijayawada the second most important city in the State of Andhra Pradesh, India is considered as a commercial capital of the State and is very close to the existing capital of the State. This made the increasing of the traffic manifold in the city besides the associated noise pollution. Traffic noise is studied at four locations representing Residential, Commercial, Industrial and Silent zones. Traffic flow is determined at these locations and simultaneously noise levels are determined for three days varying the distance from the sampling point to the center of the road. The data is collected, compared with the permissible limits and analyzed. It is noted that the equivalent sound levels (Leq) at all the four locations are beyond permissible limits for that zone......
Keywords: Traffic noise, Noise Pollution, Equivalent sound level, Modeling, Multiple Regression, Artificial Neural Networks.
. Al-Mutairi N. and Al-Rukaibi F. 2012. "Neural Network Models for Traffic Noise Quality Prediction: A Comparative Study", Journal of Civil and Environmental Engineering, 2 (1).
. Alpesh K. Sankhat, C. B. Mishra, and A.N. Roghelia. 2017. "Developing Noise Pollution Linear Regression Model of Una Town", International Journal for Research in Applied Science & Engineering, Technology, 5 (V), 1656-1663.
. Ambika N. Joshi, Nitesh C. Joshi, Payal P. Rane, 2015. "Noise Mapping in Mumbai City, India". International Journal of Innovative Science, Engineering & Technology, 2 (3), 380-385, March 2015.
. Arora J.K. and P. V. Mosahari. 2012. "Artificial Neural Network Modelling of Traffic Noise in Agra-Firozabad Highway", International Journal of Computer Applications, 56 (2), 6-10.
. Babu B.V., Ramakrishna V. and K. Kalyan Chakravarthy. 2003. "Artificial Neural Networks for Modeling of Adsorption", Second International Conference on Computational Intelligence, Robotics, and Autonomous Systems (CIRAS-2003), Singapore, December 15-18.