Andro Attendance – Marking Attendance with Android Application
Andro Attendance is the android application developed to manage daily student attendance in colleges. The Mobile Phone Based Attendance System will help the lecturers to take attendance easily, securely and without errors. This system will be used to reduce the fake attendance and also reduce the waste of the time. The lecturer will be able to view the attendance by this App. After taking the attendance in the Android mobile, attendance will be sent to the server.
Published by: A Karthikeyan
Author: A Karthikeyan
Paper ID: V3I1-1269
Paper Status: published
Published: January 26, 2017
Change in Physico Chemical Characteristics of Distillery Spent Wash after Treatment with Soil and Wood Ash
Adsorption treatment of distillery spent wash has great potential as a sustainable method as it is a low-cost method. The aim of this investigation is to study the treatment method for purification of distillery spent wash by using Soil and Wood ash. For this, the study comprising evaluation of reduction of various physical-chemical parameters (Color, Odor, pH, COD, TS, TDS, Ca, Mg, Na, and K) of distillery spent wash was checked by passing through the columns of Soil and Wood ash. The distillery effluent was acidic (pH 4.7) and dark brown in color which often cause psychological fear in farmers for utilization. Soil treatment of spent wash exhibited the good reduction in COD, TS, TDS, Mg, Na, Ca, after 72-hour treatment and increase in pH toward pH 7 followed by Soil + Wood ash (1:1).
Published by: Bharat Kumar, Arun Upreti, Mehtab Singh Dhaliwal, Rajat Singh Bisht
Author: Bharat Kumar
Paper ID: V3I1-1268
Paper Status: published
Published: January 26, 2017
Exponential H∞ Filtering Design for Discrete-Time Neural Networks Switched Systems with Time-Varying Delay
This paper deals with the exponential H∞ filtering problem for discrete-time neural networks switched singular systems with time-varying delays. The main purpose of this paper is to design a linear mode-dependent filter such that the resulting filtering error system is regular, causal, and exponentially stable with a prescribed H-infinity performance bound. In addition, the decay rate of the filtering error dynamics can also be tuned. By constructing an appropriate Lyapunov functional together with some zero inequalities and using the average dwell time scheme, a novel delay-dependent sufficient condition for the solvability of the H-infinity filtering problem is derived. Based on this condition, the desired filter gains can be obtained by solving a set of linear matrix inequalities (LMIs). A numerical example is presented to show the effectiveness of the proposed design method.
Published by: G. Mahendrakumar, R. Manivannan, R. Samidurai
Author: G. Mahendrakumar
Paper ID: V3I1-1266
Paper Status: published
Published: January 25, 2017
A Topsis-Based Taguchi Optimization to Determine the Reverse Osmosis Process Parameter for Distillery Effluent in ZLD Process
In general, the optimization problems contain more than one response, which often conflicts with each other. This paper proposes the TOPSIS-based Taguchi optimization approach to determine the optimization of reverse osmosis process parameters for improving recovery and quality of permeate. The performance criteria are identified for Permeate are COD, Total Solids, Conductivity and Hardness in reverse osmosis process. They are dependent on process parameters Operating Pressure (OP), Potential Hydrogen, Oxidation Reduction Potential and Anti-Scaling Agent. Four factors having three control levels and one factor having three control levels are identified for performance criteria. The temperature is taken as noise factor. The data for permeate, recovery, and quality of permeate obtained by running scenario that combines factor levels in Taguchi design while the signal to noise (S/N) ratios are calculated for the data. After a decision matrix is generated by the S/N ratios, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is then used to transform the multi-response problem into a single- response problem. The anticipated improvement rate is also determined by finding the levels of the factors in order to optimize the system which uses Taguchi I’s single response optimization methodology.
Published by: P. A Gadge, Dr. A. C Waghmare, Dr. R. D Askhedkar
Author: P. A Gadge
Paper ID: V3I1-1265
Paper Status: published
Published: January 25, 2017
Electro- Fenton Process for Wastewater Treatment – A Review
In the recent year, a large amount of water and wastewater generated from various industries and produce organic matters and contaminated the water, this organic this organic compound in water poses serious problems to the public health as well as environment. the advanced oxidation process (AOPs) is one of the advanced treatment methods for wastewater remediation. In AOPs, Electro- Fenton process (EFP) is one of the best methods for the wastewater treatment. In this present research article review the treatment of different wastewater by using EFP and this review paper also focus on the development of EFP, application and advantages of EFP for the remediation of wastewater from various industries and some affecting factors like pH, temperature, Electrode distance, current density, Fe2+ Concentration, H2O2 Concentration etc., and this review concluded that compare to other methods EFP is a promising method for organic treatment and it is also environmental friendly. Therefore the electro-Fenton process is one of the best methods in AOPs.
Published by: Pushpalatha M, Krishna B M
Author: Pushpalatha M
Paper ID: V3I1-1264
Paper Status: published
Published: January 25, 2017
Hybrid Algorithm for Color Video Object Detection Using Particle Filters
Colour can provide effective graphic features for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle to handle these appearance change a color based target model must be adapted during temporally stable image observation. The proposed method of this dissertation gives new observation likelihood model with dynamic parameter setting. Experiments show our proposed method is more accurate and more efficient than the traditional color histogram based particle filter. Integration of color distribution into particle filters and shows how these distributions can be adopted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measures between two color distributions, the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, Frames, where the object is occluded or too noisy, must be discarded.
Published by: Arun Kumar
Author: Arun Kumar
Paper ID: V3I1-1263
Paper Status: published
Published: January 25, 2017
