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1 Dec 25, 2016
Application of RS & GIS in Risk area assessment for mosquito borne diseases- A case study in a part of Gwalior City (M.P.)

With the increase of mosquito borne diseases in the recent past , there is an ever increasing demand on source available for the control program, so wise and prudent management of the resource is becoming increasingly important. Application of Remote Sensing & GIS may help the decision makers to take decision about control program for mosquito borne diseases like malaria, dengue, and elephantiasis at right place and in right direction. It became easier by identifying risk area identification. It also provides the architecture and analysis tool to perform spatio-temporal modeling of climate, environment, disease transmission, and other factors relevant to understanding the impacts and risks associated with vector borne disease (VBD). Main aim of the study is to identify risk area in study area. The study area selected is a small part of Gwalior city (M.P.) and lies between 26°13'N 78°11'E to 26.22°N 78.18°E coordinates. It has an average elevation of 197 meters (646 feet). In this study different sites are recognized as mosquito breeding sites and the location of the sites were taken by using GPS instrument. The Built up area is extracted from satellite image using classification techniques after that by using GIS analysis the risk area affected by those mosquito breeding sites is identified....

Authors: Shyam Avtar Agarwal, Shailendra Singh Sikarwar, D.Sukumaran.

2 Dec 25, 2016
Gasoline-1

Petroleum popularly known as “Black Gold” or “Liquid Gold” is very important for the overall industrialization & development of our economy. I have also measured the intensity of correlation or the degree of linear relationship between different variable (Parameters) which give bad effect to the single resource variable (Consumption of Petrol)....

Authors: Anita Soni, P.G.Khot.

3 Dec 25, 2016
Results Evaluation of Medical Diagnosis System Using Back propagation Algorithm

Artificial Intelligence has always lent a helping hand to the practitioners of medicine for improving medical diagnosis and treatment then, paradigm of artificial neural networks is shortly introduced and the main problems of medical data base and the basic approaches for training and testing a network by medical data are described. A lot of Applications tried to help human experts, offering a solution. In this paper, Neural Network based Proposed diagnosis system has the capabilities to take intelligent decision based on given symptoms of diseases takes as a input and outcomes shows the bacterial infection level.The back propagation algorithm presented in this paper used for training depends on a multilayer neural network with a very small learning rate, especially when using a large training set size. It can be applied in a generic manner for any network size that uses a back propagation algorithm and achieved the best performance with the minimum epoch (training iterations) and training time....

Authors: Arti Gupta, Maneesh Shreevastava.

4 Dec 25, 2016
Mapping and evaluation of urban sprawl using an integrated approach of Remote Sensing and GIS Technique (Review)

Rapid urban development and increasing land use changes due to population and economic growth in selected landscapes is being witnessed of late in India and other developing countries the cities are expanding in all directions resulting in large-scale urban sprawl and changes in urban land use. The spatial pattern of such changes is clearly noticed on the urban fringes or city peripheral rural areas, than in the city centre. In fact, this is reflected in changing urban land use patterns. There is an urgent need to accurately describe land use changes for planning and sustainable management. In the recent times, Remote Sensing and GIS is gaining importance as vital tool in the analysis and integration of spatio-temporal data?s....

Authors: Manish K Tiwari, Aruna Saxena, Vivek Katare.

5 Dec 25, 2016
Impression of Sustainable Development Plan for Industrial Region Using Geospatial Technology

The Geospatial techniques and its scope of applications have undergone an order of magnitude change since its advent and now it has been universally accepted as a most important and modern tool for mapping and monitoring of various natural resources as well as amenities and infrastructure. The huge and voluminous spatial database generated from various Remote Sensing platforms needs proper management like storage, retrieval, manipulation and analysis to extract desired information, which is beyond the capability of human brain. This is where the computer aided GIS technology came into existence. A GIS with major input from Remote Sensing satellites for the natural resource management applications must be able to handle the spatiotemporal data, supporting spatiotemporal quarries and other spatial operations. Software and the computer-based tools are designed to make things easier to the user and to improve the efficiency and quality of information processing tasks. The natural resources are a common heritage, which we have shared with the past generations, and our future generation will be inheriting these resources from us. Our greed for resource and our tremendous technological capacity to exploit them at a much larger scale has created a situation where we have started withdrawing from the future stocks. Bina petrochemical region had attracted the attention of the planners from the beginning of the five-year plan strategy for Industrial development. However, a number of projects were carried out in the individual Districts (Sagar, Vidisha, Guna and Ashoknagar) which also gave fruitful results, but no serious efforts have been made to involve the entire region. No use of latest Geospatial technique (Remote Sensing, GIS, GPS) to prepare a well structured computerized data base without which it is very different to retrieve, analyze and compare the data for monitoring as well as for planning the developmental activities in future....

Authors: Manish K Tiwari, Aruna Saxena, Vivek Katare, Satish Chakravarty.

6 Dec 25, 2016
Analysis of Throughput Using GTS and Multichannel in IEEE 802.15.4

The current IEEE 802.15.4 standard restricts the beacon enabled approach to star networks, while they support multihop networking in mesh but with no synchronization. In this paper there is proposal of a multichannel to overcome GTS limitations and improve GTS usability in cluster networks....

Authors: Abhinav Singh, Pankaj Kumar Patel , P.C.Jain .

7 Dec 25, 2016
Extracting Images from the Web Using Data Mining Technique

The objective of this work is to generate a large number of images for specified object class. The approach is to employ text, metadata and visual features and to use to gather many high quality images from the web. Candidates images are obtained by text based web search. The web page and the images are downloaded. The task is to remove irrelevant images and to re-rank. First, the images query page is downloaded. Second, it extracts images URL from downloaded page and place it in the database then ranking is done based on text surrounding and metadata features. SVM and Naive bayes classifier algorithm are compared for ranking. The top ranked images are used as training data and an SVM visual classifier is learned to improve re-ranking. The principal idea of the overall method is in combining text or metadata or visual features in order to achieve a completely automatic ranking of images....

Authors: Syed thousif hussain, B. N.Kanya.

8 Dec 25, 2016
Image Block-Based Steganography and Encryption System for Business Applications

In this modern era, communication between peers need secrecy of user data and ensuring the implementation of genuine transactions is at the expense of providing reliability. In this paper, we have proposed a steganographic technique to provide security for user accounts through encryption and image bock based steganography. Encryption of user data and hiding it in a cover image using Image blocks to generate a undetectable stego image will provide privacy. Because the attackers cannot identify the secret message hidden inside the cover image with random block size to generate a stego image ensure legitimacy in business process....

Authors: T.V. Ananthan, B. R. Mohan Lakshmanan.

9 Dec 25, 2016
Recent Advances in High-Voltage Direct current Power Transmission System

The ever increasing progress of high-voltage high-power fully-controlled semiconductor technology continue to have a significant impact on the development of advance power electronic apparatus used to support optimized operation and efficient management of electrical grids, which in many cases are fully or partially deregulated networks. Developments advance both the high voltage direct-current (HVDC) power transmission and the flexibility alternating current transmission system (FACTS) technologies. In this paper, an overview of the recent advances in the area of voltage source converter (VSC) HVDC technology is provided. Selected key multilevel converter topologies are presented. Control & modeling method are discussed. It is confirmed that the continuous development of power electronics present cost effective opportunities for the utilities to exploit and HVDC remains a key technology. In particular, VSC-HVDC can address not only conventional network issues such as bulk power transmission, asynchronous network interconnection, back-to-back AC system linking and voltage/stability support to mention a few, but also niche markets such as the integration of large scale renewable energy sources with the grid....

Authors: K. Pawani, Sachidanand Ojha, Rama Mishra.

10 Dec 25, 2016
An Efficient Method for Face Recognition Using Principal Component Analysis (PCA)

An Efficient method for face recognition using Principal Component Analysis (PCA). The PCA has been extensively employed for face recognition algorithms. It is one of the most popular representation methods for a face image. It not only reduces the dimensionality of the image, but also retains some of the variations in the image data. The system functions by projecting face image onto a feature space that spans the significant variations among known face images. The significant features are known as “Eigen faces”, because they are the eigenvectors (Principal Component) of the set of faces they do not necessarily correspond to the features such as eyes, ears, and noses. The projection operation characterize an individual face by a weighted sum of the Eigen faces features and so to recognize a particular face it is necessary only to compare these weights to those individuals....

Authors: Gunjan Dashore, V.Cyril Raj.

11 Dec 25, 2016
SWM of Kolar Municipality Using Remote Sensing and GIS Techniques

Urban solid waste management needs careful considerations. This problem has become as one of the most serious environmental problems in municipal authorities in developing countries like India. This research paper marks out the selection of best alternative site for municipal solid waste land filling, using inputs from Remote Sensing & Global positioning system (GPS) and analysis using GIS tools. Various parameters involved in the selection of SW (solid waste) disposal site like geology, land use, water table, economy and government rules have been stored in the form of GIS data base. Overlay & buffer analysis have been performed in Arc GIS 9.1. The most common problems associated with improper management of solid waste includes transmission of diseases, fire hazards, odor nuisance, atmospheric and water pollution, aesthetic nuisance and economic losses....

Authors: Yogeshwar singh, M.S. Chauhan, S.K. katiyar.

12 Dec 25, 2016
Energy from the Deserts- The Use of Nanoleaves to Produce Electricity

Here are the formatting guidelines for the IJATER Journal. Please strictly adhere to this format for your contribution; this will greatly expedite publication. A relatively modern technology uses nanoleaves attached to artificial trees and plants to capture solar energy. These exclusively designed nanoleaves contain tiny photovoltaic and thermo voltaic modules that gather heat and light from solar energy, converting this to electrical energy.Solar power and wind power is seen by many as a soln. to the world's energy problems. The earth receives 1.7 1017 W from the sun compared to a total electricity generation capacity of 4.6 1012W (OECD prediction for 2010). However the av. power d. is low with a daytime av. over the earth of 680Wm-2. This makes centralised generation problematic but distributed photoelec. Generation by domestic and com. users is a rapidly developing market. However typical com. available modules have an energy conversion efficiency of less than 12%. Silicon cells with 24% efficiency have been produced in the lab while multi-junction tandem cells using different semiconductor materials (GaInAs, GaInP and Ge) to absorb different parts of the sun's spectrum have reached 40%. This chapter describes some of the materials and device achievements so far and looks at possible ways in which higher efficiencies might be achieved with particular emphasis on nano-materials to use more of the solar spectrum efficiently. The possibility of using quantum slicing and multiple exciton generation to make more efficient use of high energy photons is considered and impurity band generation as a possible route to use low energy photons. One of the greatest challenges is to do this cheaply using semiconductors made from non-toxic abundant elements....

Authors: K. Dinesh kumar.

13 Dec 25, 2016
Implementation of Correlation Radar using VHDL for Automotive Application

The RADAR is the basic requirement of anti-collision system hence many type of RADAR has been already proposed according to its property and requirement of system .Anticollision system use RADAR detection to measure distance to obstacles and obstacles relative speed. Many RADAR antennas were developed but correlation radar is the most recent radar used in Anti-collision system. It’s a bad and erroneous estimation of the safety distance from the driver that cause car accidents on the road. The safety distance is the minimum distance required to stop a braking vehicle. This paper proposed an approach to making the device simpler cheaper which can be used in automotive application and can also be used for automated vehicle derive system to avoide accident ,we can also add many other features like vehicle signature reading can be used to come across out the type of vehicle such as life saving or emergency vehicle. The proposed paper shows the achievement of a FPGA based mean to calculate the distance of extra vehicle as bright speed & it can also tell between the signals from other large quantity of radars transmitting at equivalent happening in same road which not barely finished this radar constructive for large travel area by dropping false constructive & false negative detection but also reduces the direct width mandatory for these applications even though the dissertation illustrate the total construction of anticipated radar except we concentrate on our correlation code corresponding algorithm & it realization on FPGA using VHDL....

Authors: Snehprabha Lad, Shruti Bhargava.

14 Dec 25, 2016
Analysis Methods of Workflow Execution for Data Based on Rough Set Theory in Data Mining

Exploring the trivial workflow data needs high performance data processing technology. In this research work we put forward analysis method of workflow execution data based on data mining. The main idea of it is to retrieve the workflow data to a data warehouse and adopt OLAP technology and data mining method to support customers to select different measures and view the corresponding data in different dimensions and different abstract levels, which is important for them to make decision. This research work presents the use of a relatively new method, the Rough Set (RS) theory for knowledge acquisition in time sequence condition monitoring. An additional attraction of the RS theory is that it allows automated generation of knowledge models, offering clear explanations to the inferences performed in diagnosis....

Authors: Anoop Shrivastava.

15 Dec 25, 2016
“SECURITY ON THE CLOUD”- A Review

Cloud computing is, through use of the Internet, the sharing of data, programs and other computer resources. In essence, cloud computing simplifies security issues for users by outsourcing them to another party, one that is supposed to be highly skilled at dealing with them [1]. However, cloud computers are susceptible to multiple vulnerabilities. In order for cloud computing to become an effective, integral part of business and consumer operation, greater security measures must be implemented in order to protect the end user’s data. Our paper will discuss the technologies being developed to combat these vulnerabilities, such as fully homomorphic decryption, and will then evaluate the strengths and weaknesses of these technologies. These security measures will make cloud computing a more reliable computing platform for business and the consumer market, and will increase the efficiency of computing as a whole....

Authors: Ravindra Kumar Gupta, Ram Sagar Mishra.

16 Dec 25, 2016
A Review: The application of Remote Sensing, GIS and GPS in Precision Agriculture

Every year copious technologies have been applied by many researchers, agronomies, scientist and engineers to increase agricultural production with low cast, but it has adverse impact on environment. Precision agriculture deals with the study of the application of technology to improve agricultural practices as compare to conventional agricultural method and lower adverse impact on environment. Remote sensing technology plays an important role in precision agriculture and its application in the precision agriculture introduces new opportunities for improving agricultural practices. With the help of global positioning system (GPS), it is possible to record field data (slope, aspect, nutrients, and yield) as geographically Latitude and longitude data. It has capability to determine and record the correct position continuously, so therefore, it can create a larger database for the user. For the further analysis geographic information system (GIS) is required, which can store and handling these data. This review highlights about remote sensing technology, GIS, GPS and give you an idea about, how it can be valuable in precision agriculture....

Authors: Goswami S.B., Matin S. Aruna Saxena, G.D. Bairagi.

17 Dec 25, 2016
Challenges of Hvdc & Its Prospects

In order to transmit massive amount of power generated by remotely located power plants, especially offshore wind farms, and to balance the intermittent nature of renewable energy sources, the need of renewable energy sources, the need for a stronger high voltage transmission grid is anticipated. Due to limitation in AC power transmission the most likable choice for such a grid is a high voltage DC (HVDC) grid. However, the concept of the HVDC grid is still under active development as different technical challenges exist. This paper deals with prospects and technical challenges for the future HVDC super grids. A comprehensive overview of different sub-module implementations of multilevel module convertor is given. An overview of short circuit behavior of the modular multilevel converter is also given, as well as a discussion on the choice between cables or overhead lines....

Authors: A. K. Pawani, Sachidanand Ojha, Rama Mishra.

18 Dec 25, 2016
Study on Functional Analysis and Comparison of DDRX SDRAM Series

Double Data Rate (DDR) SDRAMs have been prevalent in the PC memory market in recent years and are widely used for networking systems. The demand for faster and cheaper memories has been increasing by the day. Hence, these memory devices are rapidly developing to give high density and high memory bandwidths. However, with the increase in technology, complexity of instructions to control the memory devices also increases. In this paper, a comprehensive analysis and comparison of DDR DSRAM, DDR2 and DDR3 are described. Also the advantages of DDR3 over DDR2 and DDR are discussed....

Authors: Hema Singh, Richa Mishra.

19 Dec 25, 2016
Remote Display System for Real Time Streaming Over GPRS in Mobile Cloud Computing

Now a day we required high quality information, efficient access, large memory capacity, appropriate monitoring system, handling the distributed application over different sites and data can streamed in real time application effectively. Mobile devices have great demand. Mobile cloud computing provides a solution to meet the increasing functionality The mobile device acts as a remote display, capturing user input and rendering the display updates received from the distant server. In this paper, we discuss a number of adequate solutions to extract the data in real time application .a market stream is a wireless market data solution where data is streamed via GPRS in mobile live net technology is a health monitoring system with real time data streaming and facilitate development of distributed real time....

Authors: Rakesh Kumar.

20 Dec 25, 2016
Motion Security/Theft Protection Using Matlab Programming

Motion can be detected by measuring change in speed or vector of an object or objects in the field of view. This can be achieved either by mechanical devices that physically interact with the field or by electronic devices that quantify and measure changes in the given environment. Motion sensors are often used in indoor spaces to control electric lighting. If no motion is detected, it is assumed that the space is empty, and thus does not need to be lit. Turning off the lights in such circumstances can save substantial amounts of energy. In lighting practice occupancy sensors are sometime also called "presence sensors" or "vacancy sensors"....

Authors: Harish Kumar Gupta, Pooja Upadhyay, Sourabh Dubey, Satyendra Pratap Singh.

21 Dec 25, 2016
An Efficient Attack Detection System for Mobile Ad-Hoc Network

A mobile ad hoc network (MANET) is a wireless network that does not rely on any fixed infrastructure (i.e., routing facilities, such as wired networks and access points), and whose nodes must coordinate among themselves to determine connectivity and routing. The traditional way of protecting networks is not directly applicable to MANETs. Many conventional security solutions are ineffective and inefficient for the highly dynamic and resource-constrained environments where MANET use might be expected. Since prevention techniques are never enough, intrusion detection systems (IDSs), which monitor system activities and detect intrusions, are generally used to complement other security mechanisms. How to detect intrusions effectively and efficiently on this highly dynamic, distributed and resourceconstrained environment is a challenging research problem. In this paper, we investigate the use of evolutionary computation techniques for synthesizing intrusion detection programs on MANETs. We evolve programs to detect the following attacks against MANETs: dropping attacks and power consumption attack. The proposed system is a novel architecture that uses knowledge-based intrusion detection techniques to detect the attacks that an adversary can perform against the routing fabric of mobile ad hoc networks. Moreover, the system is designed to take countermeasures to minimize the effectiveness of an attack and keep the performance of the network within acceptable limits. The novelty of the system lies in the usage of timed finite state machines that enable the real-time detection of attacks. Our system does not introduce any changes to the underlying routing protocol and operates as an intermediate component between the network traffic and the routing protocol. The system was developed and tested to operate in AODV-enabled networks. Our experimental results compare with normal AODV, under attack AODV and the results is more efficient than existing works....

Authors: Pushpraj Patel, Tejpal singh.

22 Dec 25, 2016
Intelligent Traffic Light and Density Control Using IR Sensors and Microcontroller

Nowadays congestion in traffic is a serious issue. The traffic congestion can also be caused by large Red light delays, etc. The delay of respective light is hard coded in the traffic light and it is not dependent on traffic. Therefore for simulating and optimizing traffic control to better accommodate this increasing demand is arises. In this paper we studied the optimization of traffic light controller in a City using microcontroller. Thus I propose multiple traffic light control and monitoring system. The system tries to reduce possibilities of traffic jams, caused by traffic lights, to an extent. The system is based on microcontroller. The microcontroller used in the system is 89V51RD2 which is MCS- 51 family based. The system contains IR transmitter and IR receiver which are mounted on the either sides of roads respectively. The IR system gets activated whenever any vehicle passes on road between IR transmitter and IR receiver. Microcontroller controls the IR system and counts number of vehicles passing on road. Microcontroller also store vehicles count in its memory. Based on different vehicles count, the microcontroller takes decision and updates the traffic light delays as a result. The traffic light is situated at a certain distance from the IR system. Thus based on vehicle count, microcontroller defines different ranges for traffic light delays and updates those accordingly. The system records vehicle count in its memory at user predefined recording interval on real time basis. This recorded vehicle count data can be used in future to analyze traffic condition at respective traffic lights connected to the system. For appropriate analysis, the recorded data can be downloaded to the computer through communication between microcontroller and the computer. Administrator sitting on computer can command system (microcontroller) to download recorded data, update light delays, erase memory, etc. Thus administrator on a central station computer can access traffic conditions on any approachable traffic lights and nearby roads to reduce traffic congestions to an extent. In future this system can be used to inform people about different places traffic condition....

Authors: Promila Sinhmar.

23 Dec 25, 2016
OZONATION AND BIOLOGICAL TREATMENT OF AZO-VIOLET DYE: A GREEN APPROACH

Azodyes have been largely used in textile industry for dying cellulose and cotton fibers. Waste water from dye industrial effluent is complex synthetic organic compounds that should be treated properly to reduce toxicity, color and COD. In this paper, ozonation and biodegradability have been studied for azoviolet. The influence of pH, Ozone dose and activated sludge used for biological treatment have been studied for color removal and complete oxidation of azodye. The ozonation constitutes AOP’S for itself, decomposition of Ozone generates hydroxyl free radical. Hence, hydroxyl free radical and Ozone both directly react with dissolved azodyes. The combination of both pathways for elimination of compounds depends on the nature of azodyes, pH of medium and of the Ozone dose. The biological treatment is an effective natural process for the waste water. The suitable microorganisms are used to convert the colloidal and dissolved carbonaceous organic matter into various gases....

Authors: C.P.Pokharna, Laxmi Kant Gupta.

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