Environmental Impact Assessment (EIA) has been regarded as both a ‘science and art’ reflecting the concern both with technical aspects of appraisal and the effects of EIA upon the decision making process (Kennedy, 1984). This paper reviews EIA of hydro power projects for the past five decades with emphasis on adoption of a holistic planning approach for development of river basin and stresses the need of giving importance to the basics of engineering, environment and economics. This paper gives stress on the practice of EIA being followed in respect with river valley project development in India and stresses the need of carrying out studies related to river basin management, carrying capacity and cumulative environmental impact assessment through an independent proposed Regional Environment Authority (REA) for the north east region of India which has many micro, mini, small and mega hydro power projects proposed in the mountainous rivers and rivulets spread over several river basins across the geographic boundary limit of states and join the river Brahmaputra in Assam. The river during its course flows through India and Bangladesh before culminating in the Bay of Bengal. Over the past five decades in India, we have looked upon the river valley projects from the perspective of individual project and development of the project area as a general routine outcome. Little or no attention has been given upon the overall impact on the river basin. The prime focus have been energy and revenue but now with the receding and depleting water resources and increasing future water requirement to meet the peak demand of all the projects operating simultaneously in the same river basin, there is a need to review the hydro power plan with a holistic approach and with relative to the comprehensive cumulative environment impact assessment of river basins carried out by proposed setup of REA for sustainable development of the entire region. Unplanned power generating system failure will lead to water grabbing and disputes, investment wastage on uncertainty and unsustainable development, justifying overuse as also misuse.

“ENERGY NEITHER BE CREATED NOR BE DESTROYED BUT IT TRANSFORMS FROM ONE FORM TO OTHER.”    In this transformation it may convert to either one form or different depending upon the forces acting, properties, type of materials and time etc.in many industrial applications this converted form of energy is also utilized to improve plant efficiency but major problem arises in recovery of this transformed energy.  In automotive industry maximum amount of energy is wasted during braking. This problem is solved by the introduction of regenerative braking. Kinetic energy recovery system is a kind of regenerative braking system which has different approaches to store and reuse the lost energy. This paper mainly highlights the different ways of recovering energy using flywheel, super capacitors, batteries, hydraulic, hydroelectric actuators and influence of weight parameters for maximum performance of vehicle.

The impact of information asymmetry on the capital cost companies a lot of the issues that this has caused in financial literature. The aim of this study was to evaluate the effect of information asymmetry on the capital cost companies listed on the Stock Exchange in Tehran. To this end, four different criteria were analyzed including cost of capital, cost of common stock, retained earnings cost of capital, cost of debt and the weighted average cost of capital. The results of 94 companies during 2008-2014 using combined data suggest that the information asymmetry and two other criteria weighted average cost of capital, the cost of capital, retained earnings and cost of capital, there is no significant relationship. Based on the above results, it can be said that the definition of operating capital expenditure on the presence or absence affects the relationship

A network is basically a connection between two or more devices such as computers, telephones, mobiles and laptops etc. The connection can be either a wired connection or a wireless connection. Wireless network connection can be an infrastructureless network with no central administrator. Such a wireless network connection is termed as Adhoc networks. When all the nodes in this network are mobile, then the network is said as mobile adhoc networks (MANET). The nodes are mobile and can anytime freely enter or exit the network. The network has a dynamic topology, self-organizing nodes and is multihop in nature. The paper is about the general survey of the routing protocols and the black hole attack. This paper has two major sections, first is about the general MANET and second is the study of network simulator, NS-2 which concludes with the proceeding implementation work showing the effect of black hole attack on AODV and effect of the same on the TORA protocol over end to end Delay and Packet Drop Ratio as the parameters in the third section which is followed by the comparison and conclusion of the work

Education is the only field where a School Student spends important years of their life, the formative years, and a maximum portion of their life. Many psychologists and experts from interdisciplinary sciences speak out that education does affect the pupils personal, social, emotional and psychological development. These years play a vital role in the students overall development and their field of socialization. The field of education is not only offers knowledge but also gives opportunity to do interaction with teachers, friends of same-sex and opposite-sex. These agents of the society keep shaping the child either positively or negatively towards future life.

One and most significant and rising application of massive information happens in social networks on the net, here billions of individuals of the planet connect and therefore the range of users at the side of their numerous activities is growing quick.  The quantity of registered users in Facebook, the biggest social network within the world has been over five hundred million. One important task in Facebook is to grasp quickly the dynamics of user behavior trends and user wants supported massive information sets recording busy user activities. The MapReduce framework and its open supply implementation Hadoop give a scalable and fault tolerant infrastructure giant} information analysis on large clusters. However, MapReduce based mostly information warehouse systems are with success inbuilt major internet service suppliers and social network Websites, and area unit taking part in important roles for death penalty numerous daily operations like; internet click stream analysis, advertising analysis, data processing applications, and lots of others.

In this paper, we tend to delineated  a performance downside in HDFS (Hadoop Distributed File System) on heterogeneous clusters. impelled by the performance degradation caused by nonuniformity, we tend to designed and enforced a knowledge placement mechanism in HDFS. The new mechanism distributes fragments of Associate in Nursing input data to heterogeneous nodes in keeping with their computing capacities

Cloud computing has recently rising technology, day by day having wide scope in future. Cloud computing is outlined as an oversized scale distributed computing paradigm that's driven by social science of scale during which a pool of abstracted virtualized energetically. the amount of users in cloud computing is growing exponentially. sizable amount of user requests tries to designate the resources for several applications that together with to high load shortly abroad faraway from cloud server. Whenever sure VMs square measure full then no additional tasks ought to be send to full virtual machine if below loaded virtual machines square measure out there. For optimize answer and higher time interval the load must be balanced among full and below loaded virtual machines. during this paper, Associate in Nursing formula is planned named honey bee behavior based mostly load reconciliation (HBB-LB), that targets to attain well balanced load across virtual machine.

The coleopteran beetles have a world-wide distribution and are found on land, water and also in the air due to their great amount of adaptability in the environment. They are known to cause diseases and also damage food, fruits and vegetables. The red pumpkin beetle ( Raphidopalpa-foveicollis) severely damages vegetables belonging to cucurbitaceae family., researches on measures to control their growth and reproduction have been undertaken over the years. Until recently there have been two main aspects of controlling insects. Firstly, applied control such as by use of chemicals (pesticides and Chemosterilants). Secondly, natural control, such as biological control, by increasing the presence of natural predators of insects like birds, fishes, reptiles, mammals and by cannibilism. More recently integrated pest management (IPM) methods are being employed in which a combination of natural and applied control have been used. The effects of both ionizing and non-ionizing radiation on the male germ cells of  coleopteran beetle Raphidopalpa-foveicollis has been investigated in the present study. The study also aims to find out as to what extent radiation alters the process of spermatogenesis and also what changes, it brings about in the quality and quantity of off-springs produced

Identifying faces in images iseasier but face identification in videos is more difficult than that in images because of low resolution, occlusion, non-rigid deformations, large motion, complex background and other uncontrolled conditions make the results of face detection and recognition unreliable. It is a challenging problem due to the huge variation in the appearance of faces in video to achieve accuracy.The main objective of proposed system is to efficiently identify faces even in case of   occlusion like glasses, etc. which results in accuracy of system.Facial occlusions, due for example to sunglasses, hats, scarf, beards etc., can significantly affect the performance of any face recognition system. Unfortunately, the presence of facial occlusions is quite common in real-world applications especially when the individuals are not cooperative with the system such as in video surveillance scenarios. While there has been an enormous amount of research on face recognition under pose/illumination changes and image degradations, problems caused by occlusions are mostly overlooked. The focus of this paper is thus on facial occlusions, and particularly on how to improve the recognition of faces occluded by sunglasses and scarf. We propose an efficient approach which demonstrates state-of-the-art performance on streaming video face recognizing in various genres of videos and label them with the corresponding relevant names.

In new era the information and data communication technologies are highly used in the Business of Industry. The data  warehouse is used in the many business value by improving the effectiveness of managerial decision-making.   Basically such a process may open new assumption of dimensions, detect new invasion of patterns, and raises new data with security problems.  Rough Sets Theory Based Multimedia Data contain   graphics, animations, video, sounds, music, texts etc. This theory represents a promising technique in imperfect data analysis which has found interesting extensions and various applications that handle imperfect knowledge, such as Bayesian inference, fuzzy set, rough set, neural network, decision tree etc

World bank has reported that 70 per cent of the world’s population lives in rural area and around 68 per cent of them in Asian countries. According to the National Census 2011, nearly 70 per cent of the Indian population live in villages, rest them in cities. The Reserve bank of India (RBI) noted that 50 percent of the Indian population does not own bank account. In spite of India’s reputation as strong financial system, studies and reports mark unhealthy rate of banking diffusion and lower awareness level on banking practices among rural population. In order to penetrate into the rural market, RBI initiated wide range of tools and mechanisms that will include the rural population. The financial inclusion mechanism was sort to compliment the inclusive growth of Indian rural population. The state level banking committee (SLBC) has reported that most of the villages have been included in the folder of financial inclusion plan. The primary question is has it diffused enough and are the rural public aware of the financial inclusion mechanism?  Therefore this paper looks to study the rural households’ perception towards Financial Inclusion. The paper concentrates on understanding the rural households’ awareness level, attitude, and satisfaction towards financial inclusion features. It is a descriptive study resting on the primary data source using structured questionnaire.  The survey through stratified random sampling was done to cover villages of Tiruvannamalai district. Quantitative approach was followed for data analysis using percentile, mean and ranking methods for interpretation.

The electrocardiogram (ECG) is a signal reflecting the electrical activity of the heart muscles. Computer processing of ECG signals has been a very active area of ​​research for decades. All modern recording systems of ECG incorporate compression software, automatic analysis and a guide for interpretation of the signal. The ECG signal is usually modeled by descriptors to facilitate the automatic analysis. We have proposed in this work, the modeling of the characteristic waves of ECG signal by the low degree polynomials, prior to compression and automatic analysis. To this end, we have implemented a complex QRS detection algorithm, and the extraction of the characteristics wave or intervals is carried out semi-automatically. Each segment of the extracted signal is then approximated by polynomials of low degrees, so that the error between the original signal and the approximation polynomial is minimum. Compression consists in keeping a small number of polynomial coefficients to store or transmit the signal, instead of the large amount of samples values. We have obtained very satisfactory results as regards the compression with very high compression ratio and low values ​​of PRD (Percent Difference square root). We have also shown that the coefficients from the polynomial approximations can be used for the automatic analysis of the signal, especially in the estimation of peak values ​​of the waves and determining their concavities. It is possible to establish correlations between the coefficients of the polynomial approximation and the energy of the signal, and also the spectral congestion of the signal. Similarly, tools of intelligent systems such as artificial neural networks and fuzzy logic may be associated with the polynomial coefficients for the automatic interpretation of the ECG signal.