IJAIR- Volume 4 Issue 11 (November 2015)


Sr/No/ Title Pdf
1 An Efficient Low Power S-BOX Implementation for AES Using Power - Gated PLA
Kalaiselvie.C.M, Kavitha.D

Abstract —This paper present a low power custom hardware implementation of Rijndael S-BOX for AES using power-gating and PLA design techniques to increase speed and to reduce power. AES is one of the most common symmetric key algorithms. In AES the hardware complexity is mainly due to the substitution box(S-BOX) and it is very expensive part in AES. The proposed system is implemented using standard CMOS of 110nm with 1.2v power supply. Thus the number of transistor counts will be reduced to 25% and increases speed by ten times.

2 Optimized Reconstruction of Depth Map Using Fuzzy
S.Masophin Salomi, C.Hariram, K.Divyalakshmi

Abstract—In this paper, we investigate how the recently emerged photography technology—the light field—can benefit depth map estimation, a challenging computer vision problem. A novel framework is proposed to reconstruct continuous depth maps from light field data. Unlike many traditional methods for the stereo matching problem, the proposed method does not need to quantize the depth range. By making use of the structure information amongst the densely sampled views in light field data, we can obtain dense and relatively reliable local estimations. Starting from initial estimations, we go on to propose an optimization method based on solving a sparse linear system iteratively with a conjugate gradient method.

3 Efficient Torque Control Of Doubly Fed Induction Machine-Based Wind Turbines Under Voltage Dips
Doodigama Sathish, Bandaru Sathish

Abstract—This paper proposes a rotor flux amplitude reference generation strategy for doubly fed induction machine based wind turbines. It is specially designed to address perturbations, such as voltage dips, keeping controlled the torque of the wind turbine, and considerably reducing the stator and rotor over currents during faults. In addition, a direct torque control strategy that provides fast dynamic response accompanies the overall control of the wind turbine. Despite the fact that the proposed control does not totally eliminate the necessity of the typical crowbar protection for this kind of turbines, it eliminates the activation of this protection during low depth voltage dips.

4 Identification And Enhancement of Low vision pixel channel of less quality video
Neha A. Wadaskar, S.A.Ladhake

Abstract—We gift Associate in Nursing example-based approach to general improvement of degraded video frames. The tactic depends on building a lexicon with non-degraded elements of the video and to use such a lexicon to boost the degraded elements. The image degradation should originate from a “repeatable” method, in order that the lexicon image patches (blocks) ar equally degraded, so originating a lexicon with degraded blocks and their residues (differences in between degraded and original blocks). Once a match is found between a degraded block within the video and a degraded block within the lexicon, the associated residue of the latter is soft-added to the block of the previous. the tactic could be a generalization of the tactic for examplebased super-resolution.

5 Co movement of stock indices
Archna dixit

Abstract- This paper examined the empirical co- movement of stock indices between the Indian stock return’s and USA stock return’s, Japan stock returns. The sample size included stock markets, of BSE, NSE, Nikkei’s, and NASDAQ. This study is intended to be a useful contribution to the academician researcher and students. The main objective of the study is to find the co- movement between Indian stock return and USA stock return and Japan stock return. We have applied unit root test and OLS test, granger causality test and co-integration. Unit root test found that data is stationary and OLS test, results is found that all the sample countries stock return has significant relationship except the NSE stock return. Granger causality test it was found that there is no causal relationship. The cointegration test found that BSE stock return and NSE stock return are co- integrated with each other.

6 Method of Extracting the Road from Satellite Images – A Survey
Kaleeswaran, Madhan Kumar

Abstract - Today’s the road data is very crucial for planning of urban area, development of infrastructure, military purposes, navigation applications, and for obtain the GIS topographic databases. The remote sensing images of spatial resolutions are rapidly increased. That enables a source for extract road information. This research has been developed for a novel approaches for a sub-urban area and rural area of road extraction from the high resolution images. Road extraction allows the road network that can be presented in the object space when the transformation of images from the ground systems are carried out and that is described by a method of the detection and the localization of roads in an image. The automatic road extraction tried to simplify and speed up the road extraction process by automating focusing of this process. In digital image processing, the road extraction is regarded as a challenging issue. This paper has a detailed survey of various road extraction techniques of satellite images and their performances are analyzed.

7 A survey on automatic docking system based home surveillance Robot
S.Saravanan, K.Ramamoorthy

Abstract- The automatic docking system based on surveillance robot with fire detector, gas detector and cleaning module are proposed in this paper. The surveillance robot with automatic docking and recharging system are used for home security. In this, the surveillance robot communicates the docking station through WI-FI and ZigBee. The fire detector sensor, MQ6 gas detector sensor are used. The docking station uses the IR sensors and the docking system is based on self-localization of the robot.

8 Particle Swarm Optimization for Feature Subset Selection
G.Jaya Suma, I. Grace Asha Roy

Abstract-The classification problems have large number of features, but not all of them are useful for decision making. Particle swarm optimization, an evolutionary computation technique can be used for Feature Subset Selection (FSS) to extract useful and important features. The Particle Swarm Optimization (PSO) in continuous space and Discrete Binary PSO (BPSO) on discrete space converged upon regions of search space but there is no mechanism for leaps between regions. The Multi-objective function for FSS using Geometric Particle Swarm Optimization (MOPSO) introduced a geometric operator crossover and mutation that allows leaps. Three machine learning algorithms Naive Bayes, Random forest and C 4.5 are used to calculate the performance of the subset of features given by PSO. The PSO for feature selection are proposed for filter and wrapper approach. The results show that PSO with wrapper approach gives better classification accuracy and important features than filter approach. Varying velocity and threshold values for PSO version are applied. The PSO versions for feature selection gave a minimum number of subset and better classification accuracy.

9 Green Concrete: Restrain Of Greenhouse Effect& Its Fortitude Behavior
T.S.Kumanan, V.Naveen Raj

Abstract-The concrete is made with wastes which are ecofriendly so called as Green concrete. Green concrete is a revolutionary topic in the history of concrete industry. Concrete is an environmental friendly material and the overall impact on the environment per ton of concrete is limited. The paper covers the aspect that how to reduce the cement content by some replacement and its strength behavior and replacement of fine aggregate to its suitability. It presents the feasibility of the usage of by product materials like rock fractions as complete replaced fine aggregates and ceramic wastes as partial replacement (10%, 20% and 30%) of cement in concrete.

10 An Area Efficient Asynchronous Adder
Savitha.S, Thangaselvi.E

Abstract─ In principle, logic flow in asynchronous circuits is controlled by a request acknowledgment handshaking protocol to establish a pipeline in the absence of clocks. While these constructs add robustness to circuit designs, they also introduce significant overhead to the average case performance benefits of asynchronous adders. Therefore, a more efficient alternative approach is worthy of consideration that can address these problems. In this paper, the performance parameters of various adders are compared.

11 Development of Intelligent Diversity Aware Retrieval System for Medical Data Analysis
V.Sudha, E.V.R.M. Kalaimani, E.Kirubakaran

Abstract -The hike of Electronic Medical Records (EMRs) causes an explosive growth of the medical and clinical data. It makes the medical search technologies become tedious to find useful patient information in the large medical dataset. However, the high quality medical search is a challenging task; in particular due to complex semantic relationships among medical concepts and use of many Synonyms, Antonyms and Hyponym, simple word based Information Retrieval (IR) does not provide the satisfactory results. Clinical databases are scarce in healthcare today and most analytical tools have trouble in extracting meaningful information from free text clinical data. The proposed system contributes a novel measure of calculating the similarity between sentences or between EMR documents using Meta map concept identifier and MeSH (Medical Subject Headings) ontology. Novel web search result disambiguation strategy considers not only the aspect importance but also the aspect similarity, to perform the diversity-aware EMR ranking. To exploit the uncertainty in ambiguous medical queries, semantic-based approach is used to achieve the diversity-aware retrieval of EMRs, i.e., both the relevance and novelty are considered for EMR ranking. The scope of the NEURAL NETWORK CLASSIFIER is to train and test the indexed documents and categorize the data to find the classified output. With the support of medical domain ontology, we first mine all the potential semantics (concepts and relations between them) from a user query and consume them to model the multiple query aspects. We believe that our experience can serve as an important reference for the development of similar applications in medical data utilization and sharing environment.

12 BER Enhancement of Orthogonal wavelet Division Multiplexing (OWDM) System in comparison with OFDM system
Jaspreet Kaur, Sandeep Kaushal

Abstract-Orthogonal wavelet division multiplexing (OWDM) which use wavelet transform is proposed as an alternative approach to FFT based OFDM system. It is an efficient approach to replace FFT in the OFDM systems due to its better bit error rate improvement, interference minimization, timefrequency localization, improvement in bandwidth efficiency and many more advantages. OWDM is employed in order to remove the use of cyclic prefix which decreases the bandwidth wastage. In this paper we have compared the BER performance of conventional OFDM and OWDM system in MATLAB under various modulation techniques. The simulation results show the superiority of the OWDM system over conventional OFDM system.

13 Survey of Routing Algorithms used in Delay Tolerant Networks
E.Haripriya, K.R.Valluvan

Abstract— Mobile Adhoc Networks are used in several various extreme environments where they suffer from different kinds of link disruptions. The existing Internet protocols fail to work properly in the context of ICNs, thus leads to a variety of new challenging problems. Delay/Disruption-Tolerant Networks are emerging solutions to networks where the network suffers from frequent network partitions and long end to end delay. Over time, unicast routing, one of the key components common to all DTNs, became an almost independent field of research in which maximum efforts continue to be invested. But in case of network architectural designs, scheduling and transferring issues dating from the early days of Inter-Planetary Networks (IPNs) have received relatively little attention and accumulate numerous challenges. These papers compare the application of various routing techniques in DTN and highlight the issues in each of them.

14 Yield potential and land-use efficiency of hybrid rice (Oryza sativa L) in Bangladesh through suitable spacing and number of plants per hill
Afsana Ansari, Muhammad Shakil Hossain

Abstract— Bangladesh is a densely populated country and the cultivated area is reduced in day by day while it is very important to determine the efficient use of land. Until recently, no case of land use efficiency of hybrid rice had been conducted in Bangladesh. In this sense, Bangladesh Rice Research Institute was conducted an experiment to determine the appropriate spacing and number of plants per hill for obtaining high economic yield of hybrid rice. The treatment consisted of three spacing (15 x 15, 20 x 15 and 20 x 20 cm) and one, two and three plants per hill. The single effect of spacing and the combined effect of plant spacing and number of plants per hill were significant in different growth and yield components of hybrid rice. In addition, the highest yield (7.09 t/ha) recorded from the single plant per hill which is not significant but the yield parameters (number of tillers per m2, number of panicles per m2, panicle length, number of total grain per panicle, filled grain percent and days to maturity) were significantly affected by main effect of seedling per hill. The highest yield (7.66 t/ha) was recorded from the combination effect of 20 x l5 cm spacing and single plant per hill. It is difficult to conclude thus the studies were conducted at one location in a single season by using only one hybrid rice variety with small number of treatments. However, we demonstrate that 20cm x15 cm spacing with one seedling per hill had higher grain yield, indicating that the optimum spacing and seedling density is good for hybrid rice varieties. This is the first findings which illustrate to use appropriate spacing and number of plants per hill for obtaining high yield of hybrid rice in Bangladesh. This work is an example of public, private sectors and in farmers who cultivated hybrid rice in Bangladesh and it has already accepted with popularity as a milestone for cultivation of hybrid rice in all over Bangladesh.

15 Bayesian Analysis of two parameters of Exponential Distribution using S-Plus software
T.A.Rather, Kawsar Fatima

Abstract— In the literature we come across different types of statistical models. Exponential distribution is one of the most useful distributions for modeling and analyzing life time data in the medical, paramedical and applied sciences. Nowadays great attention has given to Bayesian method and is in contention with other estimation methods. In this paper, we deals with the Bayesian analysis of two parameters of exponential distribution. Finally, we discuss the Bayesian analysis of exponential distribution using different priors with the help of standard statistical softwares.

16 A Survey on Working Principle and Application of Hadoop
Surajit Mohanty, Girish Das, Himanshu Suman, Piyush Maharana, Raman Ratnakar

Abstract—Hadoop is a main buzz phrase and new curve for IT today. Big data is driven data with high velocity, volume, variety, veracity and value. It comes from different sources like mobile devices, internet, social media, sensors etc. Traditional data processing and analysis of structured data using RDBMS and data warehousing no longer satisfy the challenges of Big Data. Due to the high velocity and volume of big data, the effective option is to store the big data through Hadoop, because it has capability to store and process massive amount of big data. Hadoop offers the big data implementation in small and medium sized businesses. This paper presents the working with Hadoop and its implementation in various sectors that include healthcare, networking security, market and business, sports, education system, gaming and telecommunications.

17 Keyword Searching and Browsing in Relational Databases Using Web Search Applications
Yellapu Vinay Kumar, C P V N J Mohan Rao.

Abstract-Spatial queries with keywords have not been extensively explored. In the past years, the community has sparked enthusiasm in studying keyword search in relational databases. Conventional spatial queries, such as range search and nearest neighbor retrieval, involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain “steak, spaghetti, brandy” all at the same time. Currently, the best solution to such queries is based on the IR2 -tree, which, as shown in this paper, has a few deficiencies that seriously impact its efficiency. Motivated by this, we develop a new access method called the spatial inverted index that extends the conventional inverted index to cope with multidimensional data, and comes with algorithms that can answer nearest neighbor queries with keywords in real time. As verified by experiments, the proposed techniques outperform the IR2 -tree in query response time significantly, often by a factor of orders of magnitude.

18 Lean Manufacturing Strategies: An Operational Approach
Gantala Sarvesh Kumar

Abstract—This paper presents a review to evaluate the contribution of lean strategies to reduce manufacturing wastes within the manufacturers‟ resource constraints. The evolution of manufacturing was characterized by several innovations, concerning technologies, processes, but also entire production systems, with radical changes in strategies, product design, and management of organizations. Lean strategies have been developed to eliminate or reduce waste and thus improve operational efficiency in a manufacturing environment. However, in practice, manufacturers encounter difficulties to select appropriate lean strategies within their resource constraints and to quantitatively evaluate the perceived value of manufacturing waste reduction. A model is perceived to know the value of lean strategies to manufacturing waste reduction and a step-by-step methodology is provided for selecting appropriate lean strategies to improve the manufacturing performance within their resource constraints. A „lean strategy-wastes‟ correlation matrix has been proposed to establish the relationship between the manufacturing wastes and lean strategies. By identifying appropriate lean strategies for specific manufacturing wastes, a manufacturer can better prioritise implementation efforts and resources to maximise the success of implementing lean strategies in their organisation.

19 Compression Study of FIR Digital Filter for Noise Suppression in ECG Signal
Yogesh Babu Indoriya, Karuna Markam

Abstract-The paper present the compression study of FIR filter for noise suppression in ECG signal. Intended to provide an alternative approach for comparison of FIR digital filter by using neural network. This proposed approach establishes relation between order and width of main lobe of filter. In this paper using FDA tool to design digital FIR filters of different order, and neural network tool box to compare different filters using different type algorithm of neural network. As the simulation results shows, the proposed neural-based method is capable of archiving a better performance for filter design.

20 Performance Improvement of Image Denoising System
Aarti Namdeo, Anand Khare

Abstract- In the past few decades, many noise reduction techniques have been developed for removing noise and retaining edge details in images. The process of removing noise from the original image is still a demanding problem for researchers. There have been several algorithms and each has its assumptions, merits, and demerits. The prime focus of this work is related to the processing of an image before it can be used in applications. The processing is done by de-noising of images. In order to achieve this, combination of de-noising algorithms are being used. Image denoising algorithms WT (Wavelet transform) and KLT (Karhunen-Loeve transform) are applied on images to remove the noise that are either present in the image during capturing or injected into the image during transmission. The WT shows an excellent performance in the denoise field while KLT shows a good performance in the signal reconstructed ability. De-noising plays a very important role in the field of the image processing. It is often done before the image data is to be analyzed. Denoising is mainly used to remove the noise that is present and retains the significant information, regardless of the frequency contents of the signal. De-noising has to be performed to recover the useful information. The main purpose of an image-denoising algorithm is to eliminate the unwanted noise level while preserving the important features of an image. PSNR, MSE and MAXERR parameters are being improved using combination of image denoising algorithms WT (Wavelet transform) and KLT (Karhunen-Loeve transform).

21 Non Coherent Block Coded Modulation of TAPSK Using Multilevel Coding
Shailendra kumar, Suresh Sahadeorao Gawande

Abstract-In this work, first of all we derive minimum non coherent distances of block-coded TAPSK (twisted amplitude and phase shift keying) and 16QAM (quadrature-amplitude modulation), both using multilevel coding. As per calculated distances, non-coherent block-coded TAPSK (NBC-TAPSK) and non-coherent block-coded 16QAM (NBC-16QAM) are observed. Now we check the block length, if it is small then NBC-16TAPSK performs best among all non-coherent techniques and NBC-16QAM performs worse due to its small minimum non coherent distance. Now, if the block length is not small, NBC-16QAM has the best error performs among all non-coherent techniques.

22 Digital Image Watermarking
Rekha Patil, Rupali Mahajan

Abstract-The recent progress in the digital multimedia technologies has offered many facilities in the transmission, reproduction and manipulation of data. However, this advancement has also brought the challenge such as copyright protection for content providers. Digital watermarking is one of the proposed solutions for copyright protection of multimedia data. This technique is better than Digital Signatures and other methods because it does not increase overhead. Digital watermarking is not a very old field. Most of research is going on in this field. Researchers try to invent techniques that increase the robustness, security, capacity, and imperceptibility of watermarked images.

23 Smart Vehicle System Design For Road Condition And Detection Of Potholes And Humps On Road To Aid Drivers
P.Jothimani, Dr.P.Nagarajan

Abstract-Identification of potholes and humps not only helps driver to avoid road accident or vehicle damage but also helps government authorities to maintain road. This proposed system has been developed to identify the potholes and humps on roads and provide timely alerts to driver. Ultrasonic sensors are used to identify the potholes and humps and also to measure the depth and height. The GPS receivers capture the location coordinates of the detected potholes or hump and sends message to the mobile SIM using GSM modem. Potholes and humps of information send to server. This server as a valuable source of information to the government authorities and vehicle drivers. The mobile application is used to alert driver. Alerts are given in the form of flash messages with an audio beep.

24 High dimensional Data Using Neuro fuzzy classification for Lymphoma Cancer data set
G.Sugendran, D.Dhanabagyam

Abstract-Clustering has been used extensively as a vital tool of data mining. Data gathering has been deliberated widely, but mostly all identified usual clustering algorithms lean towards to break down in high dimensional spaces because of the essential sparsely of the data points. Present subspace clustering methods for handling high-dimensional data focus on numerical dimensions. The minimum spanning tree based clustering algorithms, because they do not adopt that data points are clustered around centres or split by a regular geometric curve and have been widely used in training. The present techniques allow these algorithms to extend much more easily with both the number of instances in the dataset and the number of attributes. But the performance minimize soon with the size of the subspaces in which the groups are found. The important parameter needed by these algorithms is the density threshold and it is not easy to set, particularly across all dimensions of the dataset. The aim of this thesis is proposed method investigate the performance of different Neuro-Fuzzy classification methods for the distinction of benign and malign tissue in genes.

25 Minimization of Torque Ripple of PMSM Drive with Model Predictive Controller
P.Ramya, K.Sindhuja, V.Chandhrasekaran

Abstract-Model predictive direct torque control (MPTC) is the emerging control technique in the field of electric drives. Compared to conventional DTC it’s very accurate in voltage vector selection as well yields lower torque ripples by using the system model. The concept of duty cycle is merged along with it to improve the efficiency. The null vector is employed along with the selected voltage vector. The duty cycle is determined based on various principles. This paper focuses on the torque ripple minimization by optimizing the duty cycle of the selected vector. Results are compared in both Simulink and hardware. The Simulink is carried out with MATLAB.

26 Public Auditing For Shared Data with Efficient User Revocation in the Cloud
C.Varun Vasan

Abstract-With data services in the cloud, users can easily modify and share data as a group. To ensure data integrity can be audited publicly, users need to compute signatures on all the blocks in shared data. Different blocks are signed by different users due to data modifications performed by different users. For security reasons, once a user is revoked from the group, the blocks, which were previously signed by this revoked user, must be re-signed by an existing user. The straightforward method, which allows an existing user to download the corresponding part of shared data and re-sign it during user revocation, is inefficient due to the large size of shared data in the cloud. In this paper, we propose a novel public auditing mechanism for the integrity of shared data with efficient user revocation in mind. By utilizing proxy re-signatures, we allow the cloud to re-sign blocks on behalf of existing users during user revocation, so that existing users do not need to download and re-sign blocks by themselves. In addition, a public verifier is always able to audit the integrity of shared data without retrieving the entire data from the cloud, even if some part of shared data has been resigned by the cloud. Experimental results show that our mechanism can significantly improve the efficiency of user revocation.

27 Design and Simulation of Transmitter part of UART for Serial Communication using VHDL
Manju Wadhvani, Zoonubiya Ali

Abstract-Asynchronous serial communication is usually implemented by Universal Asynchronous Receiver Transmitter (UART), mostly used for short distance, low speed, low cost data exchange between processor and peripherals. UART allows full duplex serial communication link, and is used in data communication and control system. This paper focuses on the introduction of Transmitter; in this paper we presented the transmitter part of UART which indicates how to transmit the data serially during transmission. The result indicates that the transmission of data is done serially.

28 A New Static Leakage Reduction Technique for Low Power VLSI Circuits
Krishna Kant, Shweta Agrawal

Abstract-The ultra-low power is the prime concern the modern portable device which can be achieved by reducing leakage current. In this paper, we first explore different type of leakage reduction technique and then propose a new leakage reduction technique. The effectiveness of the proposed technique is evaluated and compared over the existing techniques. The different techniques are implemented on NAND3 and SPICE netlist is created and simulated with 32nm technology file. The results of simulation on Synopsys HSPICE shows that provides leakage reduction technique improves 21.6% reduction in leakage over the explored leakage reduction technique in the literature.

29 A Survey on Content Based Image Retrieval using Different Techniques

Abstract-Now a day, digital world increase with handheld devices, storage technologies and social networking sites and huge volume of images are stored on web. With significantly huge image database it is difficult to extract that data and retrieve relevant images. The term content-based image retrieval is widely used to describe the process of retrieving desired images from a large collection on the basis of features that can be automatically extracted from the images themselves. Feature Based Image Retrieval is a very important research area in the field of image processing. It is comprises of low level feature extraction such as texture, shape and color and similarity measures for the comparison of images. Recently, the research focus in FBIR has been in reducing the semantic gap, between the low level visual features and the high level image semantics. In this paper, various techniques for image retrieval have been studied. Further, brief discussion has been done on content based image retrieval which is included with feature extraction methods based on texture, shape and color. At the end of this paper, comparative study between various content based image retrieval techniques has been done.

30 Fully Automatic Measurement of Intima Media Thickness In Common Carotid Artery using B-Mode Ultrasound Video Sequence
Sushma R. Hattarki, Sanjay S. Pawar

Abstract-In the cardiovascular events measurement of Intima media thickness (IMT) has high clinical relevance. To analyze the wall thickening there are many methods are used. In this paper using B-mode ultrasound image, Segmentation and tracking process of IMC is done and IMT can measure. This process is fully automatic. Segmentation deals with robust identification of the LI and MA interfaces in first frame of video sequence. In tracking stage, tracking of LI and MA interfaces in subsequent frames of CCA ultrasound sequence and inconsistencies of IMC detected and also reduced. In this paper, some algorithms are proposes to measure the Intima Media Thickness (IMT) using Bmode ultrasound image.

31 MPPT Algorithm Based Solar and Wind Power Generation Using Boost Converter with Total Harmonic Distortion
S. Venkatesh Kumar, B.Sridhar, M.Karthik

Abstract-The hybrid system consists of photovoltaic panels, wind turbines and storage batteries. In this project deals with the modeling and analysis of DC/DC converter with permanent magnet synchronous generator based wind energy conversion system. A simple and cost effective control with DC-DC converter is used for maximum power point tracking (MPPT) and hence maximum power is extracted from the turbine and the photo voltaic array. The perturbation and observation algorithm fused with the proposed converters is used for drawing maximum power from the input sources. So power from the two sources can be delivered either independently or simultaneously depending on their availability. The main advantage of the hybrid system is to give continuous power supply to the load. The LC filter at the output of the inverter kept THD of grid current within the standard limit, and easily found that power fluctuation has been completely reduced using battery bank.

32 Fuzzy Logic Control Based High Efficiency Multilevel DCDC Converters for High Voltage Direct Current System
Vijayalakshmi. R

Abstract-In this paper presents new topologies Multilevel DCDC buck-boost converter which consists of an inductor based boost circuit and a switched capacitor circuit has high voltage gain and flexible output voltage. Operation of these switching devices causes inherently nonlinear characteristic to the DC-DC Converters include buck-boost converter. It is suitable for a low voltage power source such as fuel cells. To achieve a stable and fast response, nonlinear controller were applied to control buckboost converters. The efficiency of the proposed converter is improved compared with the conventional soft switching converter in high boost ratio. The operation of the proposed converter has been confirmed by circuit experiments and simulations by using MATLAB Simulink.

33 Naive Bayes Based Document Classification Using Term Frequency and Word Net Corpus
Megha Mishra, Bharti Sahu, Vishnu Kumar Mishra

Abstract-Text mining is variance of a field called Data mining. Data mining (sometimes referred to as knowledge or data discovery) is that the process of analyzing knowledge from totally different views and summarizing it into helpful info. Text mining is the larger field of data mining. This paper proposes an effective document classification technique which uses term frequency, word net corpus, Charles miller dataset and Naive Bayes Classifier. This method has achieved satisfactory result. Hence the proposed method improves the performance of Naive Bayes classifier.

34 The Future Trend: An Efficient and Optimal Cost Monitoring Systems for Medical & SM Enterprises with Concepts of Internet of Things (IOT)
Thota Mahesh Babu, A.V.Subba Rao

Abstract-Its quit interesting to starts with some philosophical manner rather than the aim of paper, that is, human kind likes more and more simplified life in their daily activities. The people like, simplification in cooking, travel, education, fashion design, dressing, information availability about certain things, communication from one place to another and so on. That means, the people like intelligent automated life. In contrast artificial things can interact with the human kind and solves their desires. For example, someone may have lost something, somewhere, but they forget where they lost. The difficulty here is, how find the thing, someone may give the solutions RFID technology but it works in certain range. So from the discussions, we need, the autonomous mechanism that can trace out the locality or information regarding to what we lost? In simple manner, we need a common platform to integrate entire world of thing. For a little while, the common platform is internet and hence we labeled Internet of Things (IoT). That’s what; the paper is going to deal. So the principal objective is to monitoring the thing of parameters from anywhere in the world. The paper is not aimed to integrate entire world of things right now but dedicated to two fields, medical & small, medium enterprises. In medical field, monitor the patient through camera interface and patient’s moments using WSN interface. And in case of SM Enterprises monitors, temperature, water level, machine motion detection using WSN and visual through Camera Interface. The paper is built with high speed and low cost Raspberry-Pi Controller.

35 Performance Analysis of FIR Digital Filters Using Artificial Neural Network for EMG Signals
Hemant Kumar, Anjana Goen

Abstract-In performance of EMG signal, signal acquisition must be noise free. This paper deals with the application of the digital FIR filter on the raw EMG signal. In this paper different window techniques are used to design FIR filter and their filtered values are used to compute MSEs with the help of Artificial Neural Network. The dataset is configured for multilayer perceptron (MLP) training with feed forward algorithm. Finally the MLP is trained and the results of Mean squared error & Best validation point are shown in table-I.

36 Effect of Filling Ratio on Thermal Characteristics of Heat Pipe using Titanium Oxide Nanofluid
V.Arivazhagan, D.Mala, K.Dinesh Kumar

Abstract-An experimental study was carried out to investigate the thermal characteristics of heat pipe using nanofluid and Deionized water (DI water) is presented in this work. The TiO2/water nanofluid is used as one of the working fluid in experimental heat pipe with concentration of 1.0% wt .The test section of the heat pipe is made of copper tube with outer diameter 16 mm, inner diameter 14 mm and length 1000 mm. The heat pipe is tested with (DI water) and nanofluid respectively. This study focused on the effects of heat input, fill ratio and angle of inclination on the thermal efficiency and thermal resistance of heat pipe. The experimental results indicate that the thermal efficiency increases when nanoparticles are added with the DI water (nanofluid) and also the heat pipe which uses nanofluid as working fluid shows lower thermal resistance value when compared to the heat pipe which uses DI water alone.

37 Design a Low Noise Amplifier Using Cascading of Resistive Shunt Feedback with Current Reuse
K.E.Purushothaman, V.Nagarajan

Abstract-Resistive shunt feedback is a feasible option for wide band low noise amplifier design. It provides wideband input matching with the assistance of a feedback network. However, low voltage and low-power design enact severe limits on the design options. The linearity of the LNA is mainly limited by the low supply voltage of the LNA, which is a direct consequence of the low-power design and the migration to lower supply voltages. Low Noise Amplifier (LNA) is the first energetic component in the front-end of the receiver. The high power consumption stalks from the fact that an LNA must provide concurrent wideband matching, high gain, low noise, and high linearity, all of which typically require high power and high supply voltages. The existence of a feedback network and boosting inductors might cause the LNA to be possibly unstable. Power can be reduced by using cascading of resistive shunt feedback in the Low Noise Amplifier design. In this paper cascading of resistive shunt feedback LNA amplifier has been designed. It is used to achieving low power, high noise-factor and high bandwidth. Current reuse technique is also implemented.

38 ARM Based ATM Terminal Design Using Biometric Access
A. Gouthami, K.Venu Gopal

Abstract-This paper reports the design of ATM with enhanced security using biometric access. Finger print recognition is done using an ARM CORTEX (M4) Processor. When a user tries to navigate the account authentication is needed, it is going to be done in two stages where the RFID tags are allotted to every individual user in the first stage. In second stage the finger prints are collected in according to the details filled in the data base. As per the provided authentication stages its easy to trace the unauthorized user. Because, at the time of transaction the user involved with the mismatched fingerprints or with wrong RFID card are captured through the camera, where it will be invoked with their pins connected to the processor ports internally. The captured snap of the user is stored into memory as well as in the site. Then we can know the person who is unauthorized and if the finger print matches transaction gets completed successfully..

39 Content based Image Retrieval using Texture features in the DWT domain
Lata Kuldeep, Shreya Jain

Abstract-The digital image data has tremendous growth in amount, quantity and heterogeneity. The conventional information retrieval techniques does not gratify the user’s demand, so an efficient system is require to develop for content based image retrieval. The content based image retrieval are comely very useful for the purpose of exact and fast retrieval of different images. The problem of content based image retrieval is based on generation of distinctive query. The low level visual content features of query image that is color, texture, shape and spatial location is used for retrieving image. These distinct features of images are extracted and executed for a equivalence check among images. First we analysis the visual content description of image and then the elementary schemes use for content based image retrieval are considered. We also inscription the comparison between query image and target image of large data base accompanied by the indexing scheme to retrieve the image. These CBIR techniques are implemented on a database having 280 images spread across 7 classes and each class having 40 images for each CBIR technique query image applied on the database and precision & Recall values are computed. The result has shown performance improvement as compared to other techniques used for CBIR at reduced computations.

40 Advanced Image Processing Tool for Face Identification using Gabor Filter Based Neural Network
S. Srikanth, K. Sumalatha

Abstract-The main objective of this paper is to develop a software tool for the identification of faces on the applied input image. The existing techniques may also gives this result but the main intention is to develop a software tool in the MATLAB using neural networks under simple and fastest executable algorithms. For that we are introducing Gabor filter based neural network. This technique will give the better result in the short span of time with efficient techniques. It needs only simple MATLAB software and simple predefined inbuilt functions. This technique is mainly helpful in facial and image processing environments. It is the initial analysis of any face processing technique for image contents. So this may also helpful in criminal cases like robbery to identify the face of thief’s. For that here we are using neural networks which can acts and analyze like human brain.

41 Finite Element Analysis of Sintered Metal Powder Preform during Extrusion Process
Poonam Chourasia, Rohit Raj Vedya

Abstract-Metal powder technology is currently arousing global interest as an economic method of producing components from metal powders. Parts manufactured by conventional Powder Metallurgy (P/M) process of compacting metal powders and sintering, have relatively poor mechanical properties due to porosity. There are several applications demanding high tensile, impact and fatigue strength and for such applications the material should have minimum or even zero porosity. Bulk processing of metal powder preform is a convenient method of reducing or eliminating the porosity from the conventional powder metallurgy products. In this new technology, sintered porous metal powder preforms are used as starting materials in metal forming processes. The bulk processing of metal powder preforms has therefore wide industrial applications because of good dimensional accuracy and surface finish of metal powder components with enhancement load bearing capacity. A finite element analysis (FEA) of the cold extrusion process was undertaken. The FEA simulation was carried out using ANSYS,FEA software, specifically produced for metal forming simulation. An axisymmetrical 2D geometric model of the tooling and billet was constructed for the analysis. The high-grade aluminium billet was modeled as a perfect plastic material for the non-linear analysis during the finite element simulation. Output from the finite element program included Total deformation, shear stress, Directional deformation and equivalent stress.

42 Designing Of Scalable Fire, Smoke, Gas Leakage Monitor And Alarm System Based On Zigbee Technology
Kuchipudi Durga Prasad, Sandeep Chintoju

Abstract-Security is primary concern for everyone. Security is the degree of protection against danger, damage, loss, and crime. Design of effective security alarm by using different sensors that can monitor an industry, offices, home or any public place. ZigBee is the name of a specification for a suite of high level communication protocols using small, low-power digital radios based on the IEEE 802.15.4 standard for wireless personal area networks (WPANs), such as wireless headphones connecting with cell phones via short range radio. The technology is intended to be simpler and cheaper than other WPANs, such as Bluetooth. ZigBee is targeted at radio-frequency (RF) applications that require a low data rate, long battery life, and secure networking ZigBee is a low-cost, low-power, wireless mesh networking standard. The low cost allows the technology to be widely deployed in wireless control and monitoring applications, the low power-usage allows longer life with smaller batteries, and the mesh networking provides high reliability and larger range.

43 Experimental Study of Glass Fiber Reinforced Gypsum Wall Panel

Abstract-There is a huge growing requirement of building materials in India due to the existing housing shortage mainly for the low income groups in urban India. To meet this challenge, India requires innovative, energy efficient building materials for strong and durable housing in fast track method of construction at affordable cost. It is also important that housing and buildings are disaster resistant to protect the lives and properties of people. All these concerns are involved in sustainable and inclusive development. In this project, we are going to carry out test on gypsum reinforced with glass fiber to check the influence of fibers on compression and tensile strength of Glass Fiber Reinforced Gypsum.

44 Experimental study of prefabricated Brick panel roofing

Abstract-This paper aims to point out the various aspects of prefabricated roofing methodology for low cost housing by highlighting the experimental study of prefabricated brick panel and RC Joist roofing technique, and the economic advantages achieved by its adoption. India is currently facing shortage of about 17.6 million houses. This method merely satisfies the most bottom and fundamental human needs. The material tests are conducted successfully in this research paper. The specifications of Indian Standards and other research studies are co related with in this experimental study. The test results are tabulated in this study those satisfies the basic needs of engineering properties of roof panel. Also explain the economical comparison of the load bearing structure in prefabricated roof panels.

45 Design of Cache Controllers with Additional Features
G.Narsimlu, Kayala. Manohar

Abstract-To meet the growing needs of computing power, communication speed and performancerequirements demanded by today’s applications, processor clock speed has to be increased. However, increasing clock speed is not viable due to heat dissipation and power consumption constraints. Hence Instead of trying to increase the clock speed, multi-core processor architectures with the lower frequency can be used. A multi-core processor is a single integrated circuit in which two or more processors have been attached for enhanced performance, reduced power consumption and more efficient simultaneous processing of multiple tasks. Multi-core processors, which have multiple processing units on a single chip, are widely viewed as a way to achieve higher processor performance. Well scheduling of running threads on these processors will result in achieving higher performance. Modern multi-core systems are designed to allow clusters of cores to share various hardware structures, such as last-level caches, memory controllers, and interconnections without considering these shared resources, scheduling the threads will cause serious degradation in overall performance of the system. In this paper we are showing one basic problem in multicore processor. The simulation results showed that the requirement of scheduler or cache-controller to avoid lot of problems that come in to the existence during shared caches memory shared by many cores located on single chip as well as the simple solution on it with simulation result.

46 High-Throughput Multistandard Transform Core Supporting H.264/Mpeg/Vc-1 Using Common Sharing Distributed Arithmetic
Kayala. Manohar, G.Narsimlu

Abstract-This paper proposes a low-cost high-throughput multi standard transform (MST) core, which can support MPEG- 1/2/4 (8 × 8), H.264 (8 × 8, 4 × 4)[2][3], and VC-1 (8 × 8, 8 × 4, 4×8, 4×4) transforms[4]. Common sharing distributed arithmetic (CSDA) combines factor sharing and distributed arithmetic sharing techniques, efficiently reducing the number of adders for high hardware-sharing capability[5][7]. This achieves a reduction in adders in the proposed MST, compared with the direct implementation method. With eight parallel computation paths, the proposed MST core has an eightfold operation frequency throughput rate.The CSDA-MST[8][9] core thus achieves a high-throughput rate supporting multi standard transformations at low cost. The CSDA-MST core achieves a high-throughput rate supporting multi standard transformations at low cost and it measures to achieve a high-throughput rate of 1.28 G-pels/s, supporting the (4928×2048@24H) digital cinema or ultrahigh resolution formate.

47 Designing an intelligent Microcontroller based traffic control system with countdown timer (Case Study: Agbor Metropolitan)
Igbajar Abraham, Eze Chinenye

Abstract-The traffic Control System in Agbor is basically done by human effort and intelligence. This is not efficient enough to serve the rising need of traffic control system owing to the rapid rate of increase in vehicular movement. The optimization of traffic light controller in Agbor which is using human effort traffic control system was studied. In this paper, multiple traffic light control and monitoring systems using microcontroller is presented. The system to reduce possibilities of traffic jams, caused by human error and sentiments. The micro-controller used in the system is 8051 microcontroller. The microcontroller is embedded with an intelligent conditional program code written in assembly language, this program was embedded into the microcontroller using programmer. The new microcontroller based traffic light was simulated and tested with Proteus simulation software, and the code was written in MiDE, this was done by developing a prototype. The functionality of the prototype shows that the developed system can successfully serve the desired purpose when deployed to a real life scene. Apart from serving its full purpose in controlling traffic congestion, the developed system can be employed as a training kit in learning traffic light control system design and operation. Also, it can be used as a teaching aid in schools, institutions and colleges for various road users and the simulation can be useful in driving schools.