T. Arunkumar ¹, R. Jayaprakash ¹, A. Prakash ², P. U Suneesh ³, M. Karthik ⁴, Sanjay kumar ⁵

Affiliations
1 Solar Energy Laboratory, Dept. of Physics, Sri Ramakrishna Mission Vidyalaya, College of Arts and Science, Coimbatore-641020, TN, IN
2 Dept. of Science and Humanities, RVS College of Engineering and Technology, Coimbatore, TN, IN
3 Dept. of Physics, M.E.S College of Engineering, Kerala-679573, IN
4 Dept. of Physics, Coimbatore Institute of Engineering and Information Technology, Coimbatore – 641109, TN, IN
5 Centre for Appropriate Management, Chandragupt Institute of Management, Chajubagh, Patna- 800 001, Bihar, IN

Abstract

We report the experimental analysis of a pyramid solar still with boosting mirror system for increasing the distillate yield rate under clear climatic conditions in Coimbatore (11° N latitude), India. The radiation received by the still is boosted up by reflecting the solar radiation. A tracking system keeps track of incident radiation into the still. The area of the still is 0.25 m². Water and ambient temperature are measured along with solar radiation and humidity at regular intervals of time. The inner and outer faces of the glass cover temperatures are also recorded. The average solar radiation received is 760.43 W/m². The daily average efficiency of the still was found to be 15%. A 2.9 l/m²/d distillate yield is obtained with the help of the boosting mirror; whereas, 1.52 l/m²/day are collected without the boosting mirror. In this work an attempt has been made to study the effect of heat transfer within a pyramid solar still. The thermo physical properties of the still are analyzed for this study. Thermal conductivity dynamic viscosities of water are also studied for this system. The thermal conductivity is in the range of 26.77 x 10^-2 Wm^-2 C^-1 to 29.64 Wm^-2 C^-1. Dynamic viscosity ranges from 18.6 x 10^-6 Nsm^-2 to 20.2 x 10^-6 Nsm^-2.

Keywords

Solar Energy, Booster Mirror, Desalination, Potable Water

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A. Prakash ¹, C. Chandrasekar ²

Affiliations
1 Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, IN
2 Department of Computer Science, Periyar University, Salem, Tamil Nadu, IN

Abstract

The credit card payment system is a widespread usable system which provides the easiest way of payment to the customers, but some of them misuse another individual's credit card for personal reasons. So, in order to provide credit card fraud detection, Multiple Semi-Hidden Markov Model is suggested to gather multiple observations and the detection phase is executed. It is significant to compute the good model parameters because it impacts the detection performance in the Multiple Semi-Hidden Markov Model. So, in this manuscript an innovative technique is introduced which is called Optimized Multiple Semi-Hidden Markov Model (OMSHMM) which is used for optimizing the model parameters. The Multiple Semi-Hidden Markov Model is used for detecting fraudulent users and for optimizing training values Cuckoo Search algorithm is proposed. The main intent of this research is automating the use of Multiple Semi-Hidden Markov Model, by liberating customers from the necessity of statistical knowledge. The number of states and also its model parameters are decided by the Cuckoo Search algorithm. An experimental result shows that when compared to the existing research there is high accuracy in the proposed research.

Keywords

Credit Card Fraud Detection, Cuckoo Search Optimization, Multiple Semi-Hidden Markov Model.

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