Welcome to International Journal of Emerging Technologies in Engineering Research (IJETER)

Volume 4, Issue 7, July (2016)

S.No Title & Authors Full Text
1 On The Binary Quadratic Diophantine Equation
K.Lakshmi, T. Sangeetha
Abstract – The binary quadratic Diophantine equation x2-9xy+y2+21x=0 is studied for its non-trivial integral solutions. The recurrence relations satisfied by the solutions x and y are given. A few interesting properties among the solutions are presented.
2 On The Negative Pell Equation
K.Lakshmi, R.Someshwari
Abstract – The binary quadratic equation represented by the negative Pellian y2=72x2-23 is analyzed for its distinct integer solutions .A few interesting relations among the solutions are also given. Further, employing the solutions of the above hyperbola, we have obtained solutions of other choices of hyperbolas, parabolas and special Pythagorean triangle.
3 A New Methodology to Web Data Mining Based on Cloud Technology
D.Saidulu, G.Rajesh, Satkuri.Sudarshan
Abstract – Net facts mining aims at making discovery of useful knowledge from different net useable things. There is a growing general direction among companies, organizations, and individuals alike of getting together information through net facts mining to put to use that information in their best interest. In science, cloud computing is a word having same sense as another for made distribution computing over a network; cloud computing is dependent on the having the same of resources to get done soundness and interests, money, goods of societies of scale, similar to an use over a network, and means the power to run a program or application on many connected computers at the same time. In this paper, we offer a new system framework based on the Hadoop flat structure to get money for the getting together of useful information of net useable things. The system framework is based on the Map/Reduce listing of knowledge processing machine orders design to be copied of cloud computing. We offer a new facts mining algorithm to be used in this system framework. At last, we make certain the able to be done of this way in by simulation experiment.
4 Congestion Control in VANET with Time Synchronization Approach and by Controlling Number of Messages
Trishita Ghosh, Sumit Kumar Singh
Abstract – The main objective of congestion control in VANET is to best exploit the available network resources and to minimize the congestion in the network. In this context, we present a congestion control approach, based on time synchronization approach reducing number of messages, to ensure reliable and safe communication within VANET. It supports discarding of similar types of messages and time synchronization.
5 Structural and Thermal Analysis of Internal Combustion Engine Piston by Using Finite Element Method
Venugopala Reddy Kusam, Jithendra Kumar B
Abstract – The piston and piston rings having frictional losses in the account of 20% of mechanical losses. The frictional losses can be reduced in the piston rings and cylinder liners, it causes higher efficiency and lower fuel consumption. The piston can also work at the higher temperatures and higher pressures and it reduces the frictional losses. In this project the design of piston is modelled in CATIA V5. The design of the engine parts is complex and efficiency is related to the type of material. The material is taken as ALUMINIUM-FLYASH-ALUMINA composite. Here the analysis is made in the ANSYS software where structural and thermal analysis of the piston can be determined.
6 Realization of Efficient Curve-Based Crypto Processor on FPGA
S.Gayathri, A.Maria Christina Blessy, P.Princy Magdaline
Abstract – Elliptical curve cryptography plays major role in data security which is more important in today’s networking and communication field. The proposal of the project is to realize an efficient GF (2m) curve-based crypto processor on FPGA. Hybrid Karatsuba multiplier and modifiedItoh Tsujii multiplicative inverse algorithm (ITA) are used for finite field arithmetic operation which increases its efficiency. Compact and faster design can be realized in this proposed method.
7 A Review on Adaptive Modulation and Turbo Coding in LTE
Kajal Bambole, Rutuja Deshmukh, Dr. Neelam D. Deshmukh
Abstract – The LTE standard uses three different modulation schemes to adapt to various channel conditions in order to improve achievable data rates. These modulation schemes are the QPSK, 16-QAM and 64-QAM. This paper presents an overview of a LTE digital communication system Simulink model, designed in order to study the effects of the QPSK, 16-QAM and 64-QAM modulation schemes on the BER performance with an AWGN channel model. Different subsystems within the transmitter and receiver blocks are implemented in Simulink. It is noted that the LTE system uses Turbo channel coding and bit level scrambling to offer reliable and secure services to the users. Depending on the assumed channel condition (clear, medium clear or noisy), the 64-QAM, 16-QAM or QPSK modulation scheme, on the transmitter side; as well as the corresponding demodulation scheme, on the receiver side; are automatically selected. Based on the recovered data bits, the obtained bit error rates are analysed, compared and discussed.
8 Reducing Routing Overhead in Mobile Ad Hoc Network by Using NCPR Protocol Along With Clustering Technique
Ashwini Sable, Ashwini Bhople
Abstract – There exists the link breakages in the Mobile Ad Hoc Networks (MANET’s) because of high mobility of nodes in MANET. The link breakages in MANET can lead to the several path failure and route discoveries [1]. It is not possible to neglect the overhead of route discoveries. In route discovery, broadcasting is fundamental and defective data dissemination mechanism. Due to high mobility of nodes in MANET there is no static topology, which lead to the frequent link breakages while route discovery. Thus link breakage problem cause an interruption in data transmission that raises routing overhead issue, because of which end-to-end delay of network increases, whereas packet delivery ratio and throughput is decreased. In this paper we propose a solution, to reduce the routing overhead by using NCPR algorithm and NCPR protocol along with clustering technique (NCPR-WC). Basically NCPR Protocol are used to find uncovered nodes in network.
9 Experimental Investigation of Mechanical Properties of Basalt Fiber Reinforced Hybrid Composites
Shiza Parmar, Dr. Hireni Mankodi
Abstract – Glass fibers are the most common of all reinforcing fibres for polymer matrix composites. In this experiment work Basalt fiber was used as a polymer reinforcing material in thermoset matrix composites. The present work is focused on different basalt preforms combination with Polypropylene and Glass to produce hybrid structure. The objective of this work is to investigate the applicability of basalt fiber combined with different types of fibers and structures. The mechanical properties of Basalt Fiber reinforced composite has been analyzed. The mechanical properties were improved as the fibers reinforcement content increased in the matrix material.
10 Basalt Fiber: Newer Fiber for FRP Composites
Shiza Parmar, Dr. Hireni Mankodi
Abstract – Basalt is a common extrusive volcanic rock formed by decompression, melting of Earth’s mantle. It has extensive occurrence all over the world. Basalt fiber have properties such as good range of thermal performance, high tensile strength, good electromagnetic properties, inert nature; and resistance to acid, radiation, UV light, vibration and impact loading. This paper discuss about their manufacturing processes. Finally it is concluding that this is low cost material and possible to manufacture in India also because large availability of basalt rock (nearly 5, 00,000 sq. km). This paper deals with the manufacturing of basalt fibres, their properties and the applications.
11 Power Line Monitoring Using Smart Grid Based Sensor and ZigBee Communication Protocol
Ashish P. Idhol, G.A. Kulkarni
Abstract – Smart grid the next generation electric power system is effective way of digital transmission of electricity. It is a digital technology that allows two way communications between utility and customers. We provide a system model that will monitor critical asset parameters such as current, voltage and temperature. A smart grid sensor is a small, low cost lightweight node that serves as a detection station in a sensor network. These sensors enable the remote monitoring of equipment such as transformers and power lines. They are improving the performance and extending the life of grid components to ensure a safe and reliable operation of the electricity network. Use of ZigBee based communication protocol make system more reliable. A lot of research is now going on the various issues and challenges on the real monitoring of power line parameters using smart grid based sensors. The used of smart grid for real time monitoring of power line parameters is the now become interest of research. This paper discussed network architecture and different design aspects for implementation of smart grid based monitoring network using smart sensors.
12 Grayscale Image Enhancement Analysis with its Classical Techniques
Nikita Singhal, Manish Dixit
Abstract – In the image enhancement, it aim is to increase the perception or interpretability of information in the various images for viewers, or to give `better' input for different computerized image processing (IP) techniques. HE is one of the simple & effective techniques for enhancing image quality. However, CHE approaches typically outcome in the extreme contrast enhancement. This paper exhibits a histogram techniques audit for image contrast enhancement. The big alteration among the approaches is only the criteria used to divide the input histogram.
13 A Review of Multilevel Selective Harmonic Elimination Techniques
T.Jayakumar, P.Uvaraj, P.Krishnagandhi
Abstract – Selective harmonic elimination (SHE-PWM) offers tight control of the harmonic spectrum of a given voltage and/or current waveform generated by a power electronics converter. Due to its formulation and focus on elimination of low-order harmonics, it is highly beneficial for high-power converters operating with low switching frequencies. Over the last decade, the application of SHE-PWM has been extended to multilevel converters. This paper provides a comprehensive review of the SHE-PWM modulation technique, aimed at its application to multilevel converters.
14 Adaptive Learning and Control of Steam Turbine Brushless Excitation System Using Neuro Fuzzy
T.Jayakumar, B.Ramraj, V.Arunkumar
Abstract – Many power generation plants in the pulp and paper industry are faced with high maintenance and down time due to the excitation system. In this project the design and simulation of a Neuro-fuzzy based voltage controller for regulating the output voltage of a synchronous generator is carried out. An automated Neuro-fuzzy logic based control strategy is presented for controlling the armature voltage of the synchronous generator by varying its field voltage. The controller makes an intelligent decision on the amount of field voltage that should be applied to the generator in order to keep the output voltage at its rated value. The control algorithm is implemented in MATLAB. The performance of the Neuro-fuzzy logic controller is compared with a conventional PI controller and also a fuzzy logic controller (FLC). It is observed that Neuro-fuzzy logic controller gives better performance than either of the two controllers.
15 Analysis of Non-Invasive Pulse Oximetry with Single Light Source Using Fourier series And Soft Computing Techniques
T.Jayakumar, M.Prabu, K.Tamilselvan
Abstract – Pulse oximetry is a methodology by which the oxygen content in the blood could be measured. It is necessary to analyze the patient’s conditions in the intensive care unit especially during anaesthesia. The conventional pulse oximetry uses two light sources to determine the oxygen content. In the proposed method with the help of single light source the oxygen content is measured. Multi-color LED is used to produce blue and red color. Artifact free photoplethysmographic (PPG) signals are necessary for non-invasive estimation of oxygen saturation (SpO2) in arterial blood. Movement of a patient corrupts the PPGs with motion artifacts, resulting in large errors in the computation of Sp02. In this paper we propose a study on using Kalman Filter in an innovative way by modeling both the Artillery Blood Pressure (ABP) and the unwanted signal, additive motion artifact, to reduce motion artifacts from corrupted PPG signals. Simulation results show acceptable performance, thus establishing the efficacy of the proposed method. The type of hypoxia will be determined by means of the soft computing techniques. The ANFIS network is trained with the spectral density and the Body Mass Index (BMI). Thus, the ANFIS will classify the hypoxia. In addition to that the overall cost of the system can be reduced by using the single light source.
16 A Review Paper On Performance Evaluation And Emission Analysis Of Four Stroke Single Cylinder Diesel Engine Using Cotton Seed Biodiesel As an Alternative Fuel With Additives
S. D. Jadhav, N. S. Biradar, K. P. Kolhe, S. L. Chavan, U.S.Gawai
Abstract – To reduce environmental pollution and to find substitute for diesel has highly promoted the research of application of study of renewable fuel like biodiesel and its blends to internal combustion engine. In this paper, a review of the literature related to the topic of performance evaluation and emission analysis of a Four Stroke Single Cylinder Diesel Engine using cotton seed biodiesel with additives is presented. A variety of experimental and analytical work has been carried out on this topic. Research work is done in the field like use of cotton seed biodiesel diesel blends in diesel engine, direct application of cottonseed oil with diesel as a blend for diesel engine, application of cotton methyl ester (CME), cotton ethyl ester (CEE) i.e. Cotton Seed Biodiesel in diesel engine etc. Relevant literature pertaining to these systems has been reviewed. Beyond this work there is one technique which will reduce pollution; increase performance of engine using cotton seed biodiesel blending with diesel and additives is presented.
17 Image Fusion Using WPCA, Biorthogonal & FDCT
Dhiraj Agrawal, Sanjeev B.Patil
Abstract – The proposed method of image fusion uses the wavelet principal component analysis (WPCA),fast discrete curvelet transform(FDCT), Biorthgonal wavelet transform(BWT) for decomposing and reconstruction of the source images. The overall fusion scheme based on method of wavelet transform .Firstly, we decompose source images of same scene using any of one BWT,WPCA,FDCT wavelet transform and then coefficients obtained are merged using absolute maximum selection fusion rule. We have used wavelet and scaling functions used in wavelet transorm for decomposition of source images. The selection of proper wavelet for decomposition varies from application to application. Although vanishing moment and regularity (smoothness) of wavelet can be considered to decide wavelet function. For image fusion application, selection of wavelet with sufficient vanishing moment is desired. Therefore, we have used wavelet filters to get desired number of vanishing moments. The coefficients obtained by decomposition of source images are fused using absolute maximum fusion rule. Image fusion is to combine relevant information from two or more images of the same scene into a single composite image which is more informative and is more suitable for human and machine perception, medical and satellite applications. Experimental results are compare on basis of performance matric include mean square error(MSE),peak signal to noise ratio(PSNR),entropy(EN),processing time required for image fusion. WPCA and FDCT shows more efficient results.
18 Recycling of Hazardous Paint Waste in Constructions Material
Mugdha Kulkarni, Dr.S.B.Thakare, Sagar Gawande
Abstract – The main objective of this paper is to envisage possible opportunity of recycling of paint waste residues generated from automobile and storage solution industry in ready mix concrete with substitution of fine aggregates. Water based and solvent based paints are extensively used in automobile and storage solution industry to safeguard metal parts and for their aesthetical betterment. This painting process generates large quantum of paint wastes that are hazardous by nature and their conventional disposal mechanism involves negative environmental impacts. The study involved utilization of this waste to replace fine aggregates in concrete in various percentages is for M15 concrete and analysis of results for compressive strength characteristics are as per IS standards. Thus, attempt has been made in this paper to explore new avenue of utilization of hazardous paint waste in construction materials so as to minimize harmful impact of its disposal. It thus has abundant scope in various construction applications.
19 180nm Low Power CMOS Voltage Comparator
Suraj B. Gawhare, Arati Gaikwad
Abstract – The comparators are main component of many analog to digital converters. The CMOS comparators are widely used in the current technology due to its fast operational speed and high accuracy. The fast growing portable devices requires low power and high operational capabilities which need to be improved. Many of comparator uses CMOS technology, greatly scaled up to 12nm technology file. A brief study of conventional dual tail voltage comparator is done and based on that, a low power and area efficient comparator is presented. A new comparator is designed in order to reduce the delay of conventional comparators and reduce the power consumption of the device. The post layout simulation of proposed comparator is carried out in 180nm CMOS technology consumes 69μW at 1.2V supply voltage.
20 CFD Analysis of Heat Transfer in an Elliptic Annulus Using Nanofluids
Aman Kumar, Dr. Anirudh Gupta, Amit Singh Bisht, Nitin Kandpal, Manoj Joshi
Abstract – This work reports numerical simulation for three dimensional laminar mixed convective heat transfers at different nanofluids flow in an elliptic annulus with constant heat flux. A numerical model is carried out by solving the governing equations of continuity, momentum and energy using the finite volume method (FVM) with the assistance of SIMPLE algorithm. Four different types of nanofluids TiO2, CuO, SiO2 and ZrO2, with different nanoparticles size 20, 40, 60 and 80 nm, and different volume fractions ranged from 0% to 4% using water as a base fluid were used. This investigation covers a Reynolds number in the range of 200 to 1000. The results revealed that SiO2–Water nanofluid has the highest Nusselt number, followed by TiO2–Water, ZrO2–Water, CuO–Water, and lastly pure water. The Nusselt number increased as the nanoparticle volume fraction and Reynolds number increased; however, it decreased as the nanoparticle diameter increased.
21 Web Usage Mining: Users Behavior in Web Page Based on Web Log Data
S.Kamalakkannan, Dr.S.Prasanna
Abstract – The main purpose of this paper is to Study the User Behavior using the Web Log. This paper presents the theory and knowledge related to Web Logs and then presents a Web Log mining process, discusses about user browsing behavior and interest, and Web Mining Technology. The paper also discuss about how to estimate of user behavior is carried out based on the study of web logs. The work can provide a theoretical basis for the management and optimization of the site for site managers. Experiments have showed that the work is effective and efficient.
22 The Fir Filter Design and Analysis and Code Generation Using HDLCODER for Area and Power Efficient FPGA Implementation
Mayuri P.Chaudhari, Dr.S.S.Shriramwar
Abstract – Nowdays the digital signal processing is highly demanded as the competition amongst the different electronics companies is increasing to fulfill the demands of the consumers and hence the equalisers,filters need to be modified according to the requirements.Before dealing with the design of the filter we must analyse the filters this paper shows the analysis reports of different filters using FIR design in Filter design and Analysis tool (FDA) .DSP operation mainly include the Multiply and Accumulate MAC operation so we have designed RAM based FIR filter using HDLcoder in simulink where MAC is taken into the consideration.Also the Code generated by the HDL coder is implemented on the Xilinx ISE 14.7 .ISim vhdl simulator is used for simulation.The model is synthesized.RTL and Technology schematic is observed.
23 Efficient Lane Tracking by Navigation, Positioning Filter Algorithm
Manisha Lande, M.K.Demde
Abstract – In this research paper, we introduce Lane Tracking by Using navigation,positioning and tracking filter i.e dealing to make the hybrid of two filter.This two filters are “Kalman filter and Particle filter”. Presented approach gives us idea about perfect and efficient and clear view tracking. Model is designed to make a tracking near real time. This idea further introduces the lane detection which is a essential part of tracking by using Hough Transform to get efficient and ideal model. Measurement of improvement in lane tracking have been increased and measured extensively by the hybrid model. Model is developed on matlab. The designed tracking model was tested on various weather conditions during different time. This tracking model is developed for the assistance of driver in rainy ,sunlight,night and foggy condition. This model is helpful and gives near real situation of road by tracking using hybrid of kalman and particle filter algorithm. They help in providing clarity to complex shadowing and lighting changes. Use of digitised camera on dashboard or bonet of vehicle and use of warning system is also done in this model in order to warn driver about the bad situation of road for their safety. This model overcomes all the problem that occurred in previous tracking system in different time and weather conditions.
24 Timing Offset Estimation in IEEE 802.15.4a Channel Model for UWB-IR Receivers
Sakshi Upase, Dr. (Mrs.) S.W.Varade
Abstract – This paper demonstrates timing synchronization in impulse radio UWB systems. An insight into various UWB modulation schemes is provided, and an overview of the state-of-the art synchronization techniques is discussed. Ultra wideband has significance for both high-data-rate (HDR) and low-data-rate (LDR) short range communications. In wireless communication UWB technology is a reliable transmission scheme for high data rates. In this paper data aided (DA) synchronization is used for UWB-IR receivers for single user in IEEE 802.15.4a channel. Random timing offset using Walsh codes is estimated before every transmitted sequence which further act as pilot sequence to achieve timing synchronization. In order to show the performance of pilot sequence, SNR Vs BER graph is plotted for different modulation schemes. Further in order to alleviate the negative effects of timing offset it can be helpful.
25 Semantic based Crawling for Automated Service Discovery and Categorization of Web Services in Digital Environment
Vaibhav V. Sawant, Dr. Vijay R. Ghorpade
Abstract – A vast majority of web services exist without explicit associated semantic descriptions. As a result many services that are relevant to a specific user service request may not be considered during service discovery. In this paper, we address the issue of web service discovery given no explicit service description semantics that match a specific service request. Our approach to semantic based web service discovery involves semantic-based service categorization and semantic enhancement of the service request in digital environment. A solution for achieving functional level service categorization based on an ontology framework is proposed. Additionally, clustering is utilized for accurately classifying the web services based on service functionality. The semantic-based categorization is performed offline at the universal description discovery and integration (UDDI). The semantic enhancement of the service request achieves a better matching with relevant services. The service request enhancement involves expansion of additional terms (retrieved from ontology) that are deemed relevant for the requested functionality. In this paper semantic matching between content of downloaded web page and ontology is used to guide the crawler towards relevant information. The experimental results validate the effectiveness and feasibility of the proposed approach. In order to thoroughly evaluate the performance of proposed crawling technique, measures such as harvest rate, precision, recall, Fallout rate will be calculated.
26 Remote Healthcare Monitoring System for Drivers Community Based On IOT
Shilpa D.Choudhari, V.G.Giripunje
Abstract – This Paper describes the wearable sensor network design for a low power healthcare real time processing and other application of IOT. IOT has variety of application domain. The IOT revolution is redesigning modern healthcare with promising technological, economical and social prospect. Using wireless technology physiological parameter of the patient can be transmitted at remote locations. In country like India some road accident may happen due to driver’s poor health condition. If smart healthcare system is available at affordable cost it can be useful for driver’s community to take some preventive measure and thus road accident reduced in some extends. The primary function of the system is to measure patient physiological parameter such as BP and heart rate. This paper mainly describes the transferring physiological parameter information to the cloud. Due to this method the remote base data transmission can be achieve successfully. Power can be optimized.
27 Automatic Energy Meter Reading System
Kulkarni Bharat P, Naik Aniket A, Kamble Revannath B, George Pasi
Abstract – Traditional metering method for retrieving the energy data is not convenient and the cost of the data logging systems is high. So this paper presents of design and development of Automatic meter reading (AMR) system. AMR system is a boom for remote monitoring and control domestic energy meter. AMR system give the information of meter reading, power cut, total load used, power disconnect and tempering on request or regularly in particular interval through SMS. This information is being sent and received by concerned energy Provider Company with the help of Global system for mobile communication (GSM) network. Energy provider receives the meter reading within a second without visiting person. AMR minimize the number of traditional visits required by employs of energy Provider Company. This system not only reduces the labor cost but also increase meter reading accuracy and save hugs amount of time.
28 Area & power Efficient Router in 2-D Mesh Network-on-Chip Synthesis Results
Tanmay R. Sontakke, J. M. Bhattad
Abstract – Network on Chip (NoC) is the solution to the system design which have offer us bulk circuit. Here we are minimizing the size of the circuit to great extent. NoC also has the positive aspect to optimize the area along with power. In this proposed project we are focusing on optimization of area, power, and throughput and to have adaptive interface through wishbone. NoC enables us to have and communication with IPs or different nodes through various packet switching algorithm. The complex SoC designs are made more efficient and less complex with the simple NoC.
29 Image Segmentation Using Various Edge Detection Techniques
Jeyalaksshmi S, Prasanna.S
Abstract – Edge detection is a vital step in image analysis. Edges are the outside limit of an object, area, or surface which helps with segmentation and object recognition. Edge detection is fundamental tool in image processing, particularly in the areas of feature detection and feature extraction. The discontinuous in brightness can be detected and used for image segmentation. There are probably more algorithms in a literature of enhancing and detecting edges than any other single subject. In this paper, the main is to study most commonly used edge techniques for image segmentation.
30 Design of Economical Size of OHTs by Optimizing H/D Ratio
A Vijay Kumar
Abstract – The Overhead water tanks are built for direct distribution by gravity flow without pumping and are usually of capacities ranging from 50KL – 3000KL.
31 Wheeze Extraction Using Analog Filter For Asthma Patients
Nitin S. Ambatkar, Dr.S.D.Chede
Abstract – Asthma is a disease from which most of the human beings are suffering. Its earlier detection is required. This paper proposes a modified conventional method which extracts wheezing signature from lung sound signals using low cost, low power, higher order band pass filter. From this signature the doctor can easily predict the status of asthma.
32 A Survey on Different Salient Region Detection Methods
Shamlin Shamsudheen
Abstract – Salient region detection is one of a method which are commonly using in image processing. Image processing includes image compression, image retrieval, face recognition, collage making and also image retargeting. Salient regions are used as a preprocessing phase in many of these applications. A salient object can be computed by different detection methods. In this paper we study on different methods for salient region detection. Different results are compared with ground truth using MSRA dataset. In this paper we are considering color spatial variance map, segmentation map, and frequency tuned saliency map for comparing different salient detection methods.
33 Design and Development of Zero Slip Lifter Mechanism
Nilesh.S.Mogare, Yuvraj B. Chaudhari
Abstract – In machine tool applications it is often required to lift heavy work-pieces using conventional winches or chain blocks which may require two or more workers for loading the work- piece on to machine which is rather contradictory to the one man-multi machine concept. Hence there is a need of zero slip lifting devices which will be operated by the machine operator himself without any other aid or assistance. Self-locking characteristics is required in case of this device in order to be sure that the loads on the output side of the system cannot change position without input from the operator to prevent damage to the machine table if the work-piece drops on to it . Worm gears are one of the few gear systems that can be made self-locking, but at the expense of efficiency, they seldom exceed 45% efficiency, when madeself-locking. Proposed system will be designed by developing twin worm system in form of external threaded worm and internal threaded ring with view to develop a zero slip winch system to be operated using 12 Volt DC PMDC motor .Objectives of project are design of mathematical model of twin worm system with internal threaded ring system for maximum load lifting capacity , maximum factor of safety & maximum efficiency for reduced power consumption. The experimental validation part of the lifting force developed by the twin worm system be validated using test-rig developed and performance characteristics of torque, Power and efficiency Vs Speed will be plotted.
34 Curve-Fitting of Bioremediation of Polycyclic Aromatic Hydrocarbons (PAHs) By Co-Composting Using Roost Manure
Kamalu C.I.O., Nwakaudu A.A., Onyelucheya O.E., Uzondu F.N., Kamen F.L., Nwakaudu M.S.,Obijiaku J.C.
Abstract – In this work, ten polluted sites with oil were obtained from Niger Delta, mixed homogenously with compost manure and sent to FUGRO International Laboratory PortHarcourt Nigeria, for bioremediation experiments and analyses. The 4800g sample was divided into twelve (12) equal parts of 400g for bioremediation; 6 parts for the experiments and 6 parts for the control. Particular ringed PAH was isolatedly tested for bioremediation for each of the five ringed PAHs (1 to 5 rings) and the 800g sample was used for respiration test of compost incubation. It was found that the efficiency of bioremediation increased from one to three rings and decreased exponentially for the rest of the rings, showing that bioremediation is not effective for higher ring PAHs. It was also found that bioremediation yields best (optimum) result between two and three ringed PAHs. The respiration of the compost microorganisms improved during incubation by more than two-third i.e 67.7%. The result of this work can be used in bioremediation studies when trying to isolate or choose a particular ringed PAHs for such bioremediation jobs.
35 Data Mining Approach of Classification for Managing Asthma in Children
K.Kasturi, Dr.S.Prasanna
Abstract – Data Mining is one of the most vital and motivating area of research with the objective of finding meaningful information from huge data sets. In present era, Data Mining is becoming popular in healthcare field because there is a need of efficient analytical methodology for detecting unknown and valuable information in health data. In medical field, practitioners have with them mountains of patient data. Any successful medical treatment is based after complete analysis of vast amount of patient data. But practitioners are often faced with the problem of extracting relevant information and finding certain trend or pattern that may further help them in the analysis of treatment of any disease. Data mining is such a tool, which sifts through voluminous data and presents the data of essential nature. In this paper we have focused on managing asthma in children. The approach used is C4.5 algorithm. Our predictive model will help in categorizing of asthma and also suggesting the best possible treatment. The choice of treatment is dependent on severity of the disease. Classification method is designed to learn from the past successes and failures and then predict the outcome. Decision trees are a form of data mining technology that has been around for almost 20 years. They are increasingly used for prediction.
36 LINUX a Multifunction Server
Ambika J, Sugantha Lakshmi R
Abstract – An operating system is a program that acts as an interface between the user and the computer hardware and controls the execution of all kinds of programs. The Linux open source operating system, or Linux OS, is a freely distributable, cross-platform operating system based on UNIX. The Linux consist of a kernel and some system programs. There are also some application programs for doing work. The kernel is the heart of the operating system which provides a set of tools that are used by system calls. In this paper we discussed the basic concepts and the system administration of Linux System.
37 BER Improvement of MPSK over Rayleigh Flat Fading Channel Using Diversity
Utkarsha Tiwari, Anand Vardhan Bhalla, Rajendra Patel
Abstract – Now-a-days the requirements of wireless communication are to have high voice quality, high data rates, multimedia features, lightweight communication devices etc. But the wireless communication channel suffers from much impairment. One of them is fading which is due to the effect of multiple propagation paths, and the rapid movement of mobile communication devices. In a typical wireless communication environment, multiple propagation paths often exist from a transmitter to a receiver due to scattering by different objects. Signal copies following different paths can undergo different attenuation, distortions, delays and phase shifts. So, this is necessary to reduce the problem of fading, but not at the cost of additional bandwidth. One effective solution is proposed for wireless system named diversity, without the requirement of extra bandwidth. This paper deals with the Rayleigh flat fading channel and to overcome the effect of fading, diversity is used at the transmitter to get good signal at the receiver diversity combining technique Maximal Ratio Combining (MRC) is used for improving the overall performance of the communication system. The diversity is used to provide the receiver with several replicas of the same signal. Diversity technique is used to improve the performance of the radio channel.
38 A General Overview on Common Causes of Breakdown in Planetary Gearbox
Parag Vyankatrao Thote, Ashish Thorat, Prashant Nimbalkar
Abstract – Gearbox is heart of all the transmission based equipment. Planetary gearbox are able to provide higher speed reduction ratio and torque in a small package, have operating characteristics beyond those of fixed-axis gear trains. Whenever breakdown of any equipment happens, it is important to analyzing root cause analysis of problem. Until and unless the exact cause of failure can be define, development of new product in order to reduce existing problems is not possible. There are varieties of problem contributing for damages of planetary gearboxes. In this paper an attempt is made to elaborate knowledge of common causes for Planetary gearbox failure and their probable causes, also primary methods to avoid such problems are discussed.
39 A Review on Various Data Mining Tools and Techniques for Assessment of Chronic Obstructive Pulmonary Disease (COPD)
K.Rohini, Dr.G.Suseendran
Abstract – This paper is a study and review of Various Data Mining Tools and Techniques for assessment of Chronic Obstructive Pulmonary Disease. Chronic Obstructive Pulmonary Disease (COPD) is the fourth leading cause of death worldwide and represents one of the major causes of chronic morbidity. Cigarette smoking is the most important risk factor for COPD. In these patients, the airflow limitation is caused by a mixture of small airways disease and parenchyma destruction, the relative contribution of which varies from person to person. Presently, a very large amount of data stored in databases is increasing at a tremendous speed. This requires a need for new techniques and tools to aid humans in automatically and intelligently analyzing large data sets to acquire useful information. This growing need gives a view for a new research field called Knowledge Discovery in Databases (KDD) or Data Mining, which attract a attention from researchers in many different fields including database design, statistics, pattern recognition, machine learning, and data visualization. Data mining is the process of discovering insightful, interesting, and novel patterns, as well as descriptive, understandable and predictive models from large-scale data. In this paper we overviewed different tasks includes in Data mining. Data mining involves the tasks like anomaly detection, classification, regression, association rule learning, summarization and clustering.
40 Awareness of Biomedical Waste Management in Small sized healthcare centres of Jabalpur city, Madhya Pradesh
Ankit Koshta, Dr. Shailza Verma, M K Koshta
Abstract – The biomedical waste increases day by day due to growth in population results in increased number and sizes of hospitals and pathology labs as well as increased use of disposable medical products etc. The hospital wastes are infectious wastes which if not properly managed and disposed of pose a great health risk. Besides it may lead to environmental pollution and resulting the scarcity of natural resources. According to a report of WHO(2011) at the global level, 18–64% of HCFs are reported to have unsatisfactory BMW management; predictors include lack of awareness, insufficient resources, and poor disposal. An appropriate strategy for safe management of BMW needs integrating technical, financial, institutional, managerial, social and environmental issues. Jabalpur is a growing city of Madhya Pradesh. In Jabalpur Elite Engineers (CBMWTF) covered 198 health care facilities from Jabalpur and Katni city, Still, the BMW generators are yet to get enrolled to utilize this offsite facility. The present study aims to identify the present scenario about the awareness and knowledge of disposing the biomedical waste management in Jabalpur city by conducting a survey research and further data were analysed to find the problems and their measures accordingly.
41 Performance Analysis of Various Classification Algorithm for Lung Disease Detection Using Genetic Algorithm
A.Tamilmozhi, Dr.N.Sujatha
Abstract – In recent days, detecting and classifying the lung disease in a Computed Tomography (CT) image is an important and demanding task. For this purpose, many classification techniques are proposed in the existing works. But, it has some drawbacks such as, inaccurate, not efficient and misclassified results. In order to overcome all these issues, a new classification technique is proposed in this work for lung disease detection and classification. At first, the given lung image is preprocessed by using the median filtering technique to remove the unwanted noise in the image. Then, the features of the filtered image will be segmented by applying the morphological, Fusion Mean Absolute Deviation (MAD) and Walsh-Hadamard Transform (WHT) techniques. The features of the segmented image are extracted by applying the Gabor transformation technique. Then, the optimal features of the image are selected with the help of the Genetic Algorithm (GA). Finally, the normal and abnormal images are classified by applying the classification technique. In this work, there are three different classification techniques includes, Support Vector Machine (SVM), Naïve Bayes (NB) and Back Propagation (BP) are applied. The main intention of this paper is to select the suitable and accurate classification technique for accurate lung disease classification. The experimental results evaluate the performance of the proposed system in terms of Precision, Recall, F-Measure and condition probability.
42 Comparative Analysis of Various Classification Algorithms for Skin Cancer Detection
M. Amirjahan, Dr.N.Sujatha
Abstract – Melanoma is one of the skin cancer types that develop the pigment-containing cells refer melanocytes. The collection of Melanoma images plays the major role in skin cancer detection. Traditionally, the enhancement of Melanoma images highlight the affected portion or the defect areas effectively with four methods such as affine detectors-based feature extraction, segmentation of tumorous portions, color constancy and patches. The evolution of automated dermatological diagnostic system supports the medical discipline analysis and the skin anomalies. This paper presents a detailed comparative analysis for classification algorithms used in skin disease analysis. This paper proposes the novel two dependent processes such as skin anomalies detection and disease identification. Initially, high resolution images are gathered from the patient history and proceed the sequential image processing techniques such Gaussian filtering, image enhancement, Gray Level Co-occurrence Matrix (GLCM) feature extraction and the classification. Besides, the comparative analysis between the various classifiers such as C4.5, Support Vector Machine (SVM) and Classification and Regression Trees (CART) to predict the efficient classifier. A novel approach presented in this paper efficiently improves the skin detection and disease identification accuracy compared to existing techniques.
43 Thermodynamic Stability Analysis of Y-PSZ Coated Diesel Engine Piston over the Bond Coat of Alumina
Hina Akhtar, Komal Rawat, Jaya Verma Negi, Ravi Kumar, Vinod Kumar
Abstract – This paper deals with the investigation of plasma sprayed Yttria partially stabilized zirconia (Y-PSZ) as thermal barrier coating (TBC). The thermal barrier coating, as the name suggests, is a coating of material of low thermal conductivity value, low enough to make it capable to reduce heat from the hot working fluid to penetrate into the substrate in high temperature applications like internal combustion engines, gas turbines etc. The investigation has been made in terms of thermal behavior of plasma sprayed Y-PSZ coating over aluminum (12 % by wt. Si) substrate using intermediate bond coat of Al2O3. The results indicate that Y-PSZ/Al2O3 TBC set up is highly effective in lowering the temperatures within the substrate, thereby increasing thermal efficiency of the system. A particular TBC thickness performs more effectively at elevated operated temperatures and for a particular convection conditions system, thicker layer of TBC gives better results than a thinner one.
44 Voice Stress Analysis using Linear Predictive Coding in MATLAB
Dinesh Kumar, Upasana Sharma, Shweta Solanki
Abstract – Speech in humans is generated by a series of formants generated by the resonances in the nasal, pharyngeal and vocal tracts. Linear prediction of speech is one of the most widely used techniques for analysis of speech samples. Voice stress analysis as a field of study holds immense importance to human life. Stress analysis has been used in critical situation endangering life and in several medical scenarios as well. This paper uses Linear Predictive Coding (LPC) to analyse the stress levels in the voice samples by comparing them to existing samples and outputting a human emotion.
45 Modeling and Finite Element Analysis of Flywheel Ring Gear & Starter Motor Pinion
Parag Vyankatrao Thote
Abstract – Gears are the most important parts of Mechanical system they are generally used to transmission power from one shaft to another depending on application they are available with different type of tooth profiles. In all spur gears are the most preferred type of gear because of simplicity of use & manufacturing with high degree of transmission efficiency. The gears are generally fails when the working stress exceeds the maximum permissible stress and if we want to design a healthy system with defined performance efficiency through working life cycles, it is important to predict stresses developed & effectively reduce them. When concerning about starter motor, pinion is the element which damage mostly because of the unusual engagement with flywheel ring gear. In this paper an attempt is made to predict static stresses and deformation of tooth in contact, after determination of predictions the system is modified in order to study its effect on stresses developed and deformation observed over original working geometry. As the gear tooth engagement of the system is unlikely different from normal types of system of gears in mesh, the tooth tip deforms at higher rate because of abrupt contact with tooth of another gear. A professional tool (ANSYS 16.0) is used to carry finite element analysis. Most of the previous research work studied elaborates the practical ability of finite element analysis (FEA) for study of gears in mesh.

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