International Journal of Engineering and Techniques

1-5

Authors: - Mr.S.Parthiban , Mrs.T.Priyadarsini

Sentiment analysis focuses on analyzing web documents, especially user-generated content such as product reviews, to identify opinionated documents, sentences and opinion holders. Most of the time classifiers trained in one domain do not perform well in another domain. The existing approaches do not detect sentiment and topics simultaneously. Sentiments may differ with topics. Our proposed model called Joint Sentiment Topic (JST) model to detect sentiments and topics simultaneously from text. This model is based on Gibbs sampling algorithm. Besides, unlike supervised approaches to opinion mining which often fail to produce good performance when shifting to other domains, the semi-supervised nature of JST makes it highly portable to other domains. JST model performs better when compared to existing supervised approaches.

10-14

Authors: - Ramiz Shaikh, Sameer Shinde, Vaibhav Pawar

Social networking sites are source of information for event detection, with specific reference of the road traffic activity blockage and accidents or earth-quack sensing system. During this paper, we have a tendency to present a time period observation system supposed for traffic occasion detection coming back from social media stream analysis. The system fetches tweets coming back from social media/network as per a many search criteria; ways tweets/posts, by applying matter content mining methods; last however not least works the classification of social networks posts. The goal is to assign appropriate category packaging to each posts, as a result of connected with Associate in Nursing activity of traffic event or maybe not. The traffic recognition system or framework was utilized for time period observation of varied areas of the road network, taking into consideration detection of traffic occasions simply virtually in actual time, frequently before on-line traffic news sites. All people utilized the support vector machine sort of a classification unit; what is more, we tend to accomplish a good accuracy price of 95.76% by making an attempt a binary classification problem. All people were conjointly capable to discriminate if traffic is triggered by Associate in nursing external celebration or not, by partitioning a multi category classification issue and getting accuracy price of 88.89.

19-20

Authors: - Taslima Ahmed , Hitendra singh

This paper is a mathematical study for finding the amount of solar radiation on the surface of the Photovoltaic (PV) system affected due to the variation in the slope (tilt angle) of the PV system along with the background theory of the attenuation of the solar radiation. The power density is maximum when the solar moduleabsorbing surface is perpendicular to the sun and in all other cases module power is always lesser than the incident power. Hence extra addition of panels with fixed tilt is no longer economical viable when electricity demand increases. Theoretical estimation of solar radiation on the slope of the PV surface from the radiation available on the horizontal surface is evaluated and the results are presented on the basis of the data available and proposed mathematical model for the calculation of the total amount of solar radiation on tilted surface.

24-27

Authors: - Tejaswini Jagdale , Pradnya Jadhav , Prajakta Totre , Mayura Zadane , Shrilekha Mankhair

Driver's drowsiness is the main reason for vehicular accidents. Drowsy driving is the form of impaired driving that continuously affects a person's ability to drive safely. Continuous restless driving for longer time may result in drowsiness and cause accidents. In this study, a collaborative system is build which assist the user and identifies his/her state while driving in order to improve safety by preventing accidents. Based on grayscale image processing, the position of the driver's face and his/her head movement is analysed. The driver's state identification also includes the detection of alcohol consumption with the help of sensors.

33-37

Authors: - Chitra.S, Arunadevi.R

a permission-based access control model. However, current model could not enforce fine-grained control over the dynamic permission use contexts, causing two severe security problems. First, any code package in an application could use the granted permissions, inducing attackers to embed malicious payloads into benign apps. Second, the permissions granted to a benign application may be utilized by an attacker through vulnerable application interactions. Although ad hoc solutions have been proposed, none could systematically solve these two issues within a unified framework. The first such framework to provide context-sensitive permission enforcement that regular’s permission use policies according to system-wide application contexts, which cover both intra-application context and inter-application context. We build a prototype system on Android , named FineDroid, to track such context during the applicaton execution. To flexibly regulate the context-sensitive permission rules, FineDroid features a policy framework that could express generic application contexts. We demonstrate the benefits of FineDroid by instantiating several security extensions based on the policy framework, for three potential users: end users, administrators and developers. Furthermore, FineDroid is showed to introduce a minor overhead

56-61

Authors: - Dr.T.Geetha , Karthikeyan R , Kowsalya M , Jayachitra M

Impulse Radio Ultra WideBand (IR-UWB) commu- nication has proven to be an important technique for supporting high-rate, short-range, and low-power communication. In this paper, using detailed models of typical IR-UWB transmitter and receiver structures, we model the energy consumption per information bit in a single linkof an IR-UWB system, considering packet overhead, retransmissions, and a Nakagami-m fading channel. Using this model, we minimize the energy consumption per information bit by finding the optimum packet length and the optimum number of RAKE fingers at the receiver for different transmission distances, using Differential Phase-shift keying (DBPSK), Differential Pulse-position Modulation (DPPM) and On-off Keying (OOK), with coherent and non-coherent detection. The increasing demand for wireless communication introduces efficient spectrum utilization challenge. To address this challenge, cognitive radio (CR) is emerged as the key technology; which enables opportunistic access to the spectrum. CR is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use and which are not, and instantly move into vacant channels while avoiding occupied ones..

69-72

Authors: - Ms. Namrata Dangat

Multipliers play an important role in today’s digital signal processing (DSP) and various other applications. Multiplication is the most time consuming process in various signal processing operations like convolution, circular convolution, auto-correlation and cross-correlation. With advances in technology, many researchers have tried and are trying to design multipliers which offer either of the following- high speed, low power consumption, regularity of layout and hence less area or even combination of them in multiplier. However area and speed are two conflicting constraints. So improving speed results always in larger areas. So here we try to find out the best trade off solution among the both of them. To have features like high speed and low power consumption multipliers several algorithms have been introduced .In this paper, we describes Multipliers by using various algorithm in VLSI technology

78-83

Authors: - Dhanashri Nalawade, Piyusha Rane , Damini Baravkar, Ruchi Dhawale, Jyoti Raghatwan

The usage of Neural network s has determined a variegated area of packages in the present world. This has caused the improvement of various fashions for economic markets and funding. This paper represents the idea the way to predict share market fee the use of artificial Neural community with a given enter parameters of share marketplace. The proportion marketplace is dynamic in nature approach to expect percentage fee could be very complex method by using trendy prediction or computation method. Its predominant motive is that there is no linear relationship between market parameters and target last price. Since there is no linear relationship between input patterns and corresponding output patterns, so use of neural network is a desire of hobby for share market prediction.

88-92

Authors: - Ms.Anu.V, Mrs.Vaaneeswari.V

Different kidney diseases affect different part of kidney. For example, kidney tumor usually occurs in renal cortex, renal column hypertrophy may exist in renal column, medullary cystic kidney disease usually exists in renal medulla, and transitional cell cancer, renal pelvis and ureter cancer may attack renal pelvis To propose automatically segment kidney and detect disease occurs in kidney.Random forest and modified active appearance model can performed in this projec

96-105

Authors: - Suresh.T, Balakrishna.Y, Nitesh.K

Bio-enzyme is a natural, non toxic, non flammable, non-corrosive liquid enzyme formulation fermented from vegetable extracts that improves the engineering qualities of soil, facilitates higher soil compaction densities and increases stability. Enzyme catalyze the reactions between the clay and the organic cat-ions and accelerate the cat-ionic exchange process to reduce adsorbed layer thickness. For other types of chemical stabilization, chemicals are mixed with soil, which is difficult to mix thoroughly, but bio-enzyme is easy to use as it can be mixed with water at optimum moisture content and then it is sprayed over soil and compacted. Recently many Bio-enzymes have emerged as cost effective stabilizers for soil stabilization. One such bio-enzyme, Terrazyme, has been used in the present work to study its effect on the CBR value of the Black Cotton soil. The tests conducted in this project are specific gravity, plastic limit, liquid limit, CBR and standard proctor test. In this project, local soil was mixed with Terrazyme with different dosages i.e. 0.25 ml per 100 ml of water, 0.50 ml per 100 ml of water, 0.75 ml per 100 ml of water, and 1 ml per 100 ml of water was mixed subjected to various tests as mentioned. All the testing programs have given optimum value at 0.5 ml terrazyme per 100ml of water. The pavement thickness values reduced by improving the sub grade strength (CBR value).The cost analysis done for this project by using CBR values of the experiments with the reference of pavement design catalogue MORD specification table. The pavement construction value is reduced 30% of the total cost with the help of my laboratory testing results.

115-120

Authors: - Karthikeyan R , Dr.T.Geetha , Sivakumar C , Vignesh G

Whether you’re using wireless internet in a coffee shop, stealing it from the guy next door, or competing for bandwidth at a conference, you’ve probably gotten frustrated at the slow speeds you face when more than one device is tapped into the network. As more and more people and their many devices access wireless internet, clogged airwaves are going to make it increasingly difficult to latch onto a reliable signal. But radio waves are just one part of the spectrum that can carry our data. What if we could use other waves to surf the internet? One German physicist,DR. Harald Haas, has come up with a solution he calls “Data Through Illumination”—taking the fiber out of fiber optics by sending data through an LED light bulb that varies in intensity faster than the human eye can follow. It’s the same idea behind infrared remote controls, but far more powerful. Haas says his invention, which he calls D-Light, can produce data rates faster than 10 megabits per second, which is speedier than your average broadband connection. He envisions a future where data for laptops, smartphones, and tablets is transmitted through the light in a room. And security would be a snap—if you can’t see the light, you can’t access the data. Li-Fi is a VLC, visible light communication, technology developed by a team of scientists

126-135

Authors: - Madhavi B. Danane , Vikram A. Mane

To ensure that the object presented in front of biometric device is real or reconstructed sample is a significant problem in biometric authentication, which requires the development of new and efficient protection measures. This paper, presents a software-based fake biometric detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance the security of biometric recognition devices through the use of image quality assessment in a fast and user friendly manner. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications, using 25 general image quality features extracted from one image to distinguish between real and imposed samples. The proposed method is highly competitive compared with other as the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits.