Regularization of Contract Labour
There are many benefits for permanent employment and hence sometimes the triangular relationship is used as ruse to conceal the employer’s identity as the real employer, to deny employer-employee relationship and deprive workers of the benefits of a permanent employment. The courts order regularization of Contract Labour in case the contract is found to be a ruse to deny permanency to the Contract Labour. There is substantial ambiguity pertaining to the standards for regularization and test courts used to see if the contract is sham. This Article tries to adress this ambiguity
Published by: Arun Sasi
Author: Arun Sasi
Paper ID: V3I3-1343
Paper Status: published
Published: June 6, 2017
Review on Anticancer Activity of Medicinal Plants
This article has been prepared to review some medicinal plants used for the treating cancer disease. The plant sources of India are likely to provide effective anticancer agents. Herbs have a vital role in the prevention and treatment of cancer. Examples are provided in this review of promising bioactive compounds obtained from various plants with medicinal and other therapeutic uses. The photochemical exploration of these herbs has contributed to some extent in this race for the discovery of new anticancer drugs. In recent years owing to the fear of side effects people prefer to use of natural plant products for cancer treatment. This review also helps to summarize the diverse methodologies and various ways to evaluate the potential natural compounds having anticancer activity. Although drug discovery from medicinal plants continues to provide an important source of new drug leads, numerous challenges are encountered including the procurement of plant materials and their selection.
Published by: Manivel .G, Kandasamy C. S, Hariprasad .R, Baskar .K, Jegadeesh .S, Venkatanarayanan .R
Author: Manivel .G
Paper ID: V3I3-1270
Paper Status: published
Published: June 6, 2017
Fuzzy Based Stable Election Protocol for Heterogeneous Wireless Sensor Networks
Wireless Sensor Networks have been increasingly with the use of advanced methods to develop these kinds of networks in various fields like biometrics, weather monitoring, military applications etc. Wireless Networks are deployed in various regions and one of the key issues is that, the sensor nodes are largely dependent on the batteries which are fitted in them at the time of installation. In most of the cases the sensor nodes have to be largely dependent on the fixed non rechargeable batteries. Thus it is for utmost importance to save the energy as much as possible and preserve the network energy and hence its lifetime. There have been several routing protocols designed and all are primarily focused to provide maximum network lifetime by ensuring the efficient use of sensor node energy. Among these protocols the clustering based protocols are the most widely used and are extensively researched to devise new routing protocols to preserve the network energy. In this research work the main focus is to study the various available clustering based routing protocols and observe their rules and features. An attempt is also made to devise a new protocol based on Fuzzy Based Stable Election Protocol for heterogeneous networks. A simulated virtual environment is envisaged to be built in MATLAB to understand the network setup and implement the algorithm for an energy efficient routing. A number of protocols have been studied in depth in this research work. The proposed protocol have shown improvement in number of dead nodes and average energy per node as compared to the existing SEP protocol when a comparative study was done on similar simulation parameters on both the methods.
Published by: Nimisha, Faseeh Ahmad, Dr. K. K Sharma
Author: Nimisha
Paper ID: V3I3-1420
Paper Status: published
Published: June 5, 2017
Novel Approach of Text Classification by SVM-RBF Kernel and Linear SVC
In suspicion, characteristic dialect handling is an exceptionally brilliant strategy for the human-PC interface. Regular dialect grateful is once in a while alludes to as an Artificial Intelligence-whole issue since normal dialect distinguishing proof appears to include wide learning about the outside world and the capacity to control it. NLP has vital have regular qualities with the field of computational semantics and is frequently viewed as a sub-field of computerized reasoning. In this paper working two learning approaches knn and support vector machine (SVM) yet SVM gives importance great exactness, accuracy, review than KNN, SVC.
Published by: Gurvir Kaur, Er. Parvinder Kaur
Author: Gurvir Kaur
Paper ID: V3I3-1443
Paper Status: published
Published: June 5, 2017
Combining Left and Right Palm Print Images for more Accurate Personal Identification
Recognition of a person by means of the biometric characteristic is very important technology as biometric identifiers can’t be shared and they intrinsically represent individual’s bodily identity. Palm print is one of the important biometric characteristics with high user acceptance and it has gained much attention because of its good performance. Biometric characteristics are used to identify a person by measuring the behavioral and physiological characteristics. In single biometric technology, there are a number of chances for fraudulent activities. Multi-biometric system provides high accuracy than any other technologies. Combining left and right palm print images to perform multi-biometrics is easy to implement and can provide better results. Here an SVM method is used as the identification time of this system is higher than others. By feature extraction, LMR PCA IDA are extracted and these features don’t depend upon iteration method and hence the computation time is reduced and SVM works on clustering based method which reduces the computation time
Published by: Shruthi .N
Author: Shruthi .N
Paper ID: V3I3-1452
Paper Status: published
Published: June 5, 2017
Effect of Environmental Parameters on Solar PV Performance with MPPT Techniques on Induction Motor Driven Water Pumping System
A photovoltaic cell produces electrical energy directly from visible light but their efficiency is fairly low and hence is expensive as compared to other available energy resources. Various factors affect pv system efficiency. This paper presents the important environmental factors which affect working of pv system by using MPPT techniques .These affects are solar Irradiation, temperature, humidity and wind speed . The variation of these factors at different condition has been studied to improve working of MPPT techniques for more reliable applications. In India there is a huge demand of energy due to various reasons like industrial development and increasing population. The main drawback in replacing conventional energy sources with new and more environmentally friendly alternative sources such as solar and wind energy, is how to capture them for maximum energy and how to deliver the maximum power at a minimum cost for a given load. The output power of photovoltaic cells or solar panels has nonlinear characteristics which are affected by temperature, light intensity and other environmental conditions and hence it is necessary to study them and rectify them for maximum and output.. To assess the overall performance with varying weather conditions, a PV model based on the Shockley diode equation has been used to predict the electrical characteristics of the cell with regard to changes in the environmental conditions of irradiation, temperature, humidity and wind speed.
Published by: Vishakha Garg
Author: Vishakha Garg
Paper ID: V3I3-1455
Paper Status: published
Published: June 5, 2017
