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Welcome to IJLERA! International Journal of Latest Engineering Research and Applications

Volume 03 - Issue 04 (April 2018)


Title:
Implementation of High Efficient Encryption Algorithm for IoT system using Genetic Algorithm
Authors:
C. Manikandan, V. Alamelumangai
Source:
International Journal of Latest Engineering Research and Applications, pp 01 - 05, Vol 03 - No. 04, 2018
Abstract:
TModern world requires controlling the industrial devices in remote manner. This would possible if and only if the present technique adopt the recent development as Internet of Things. The main limitations of the conventional techniques are that they are in lagging with security. The data from the private unit is traced by hackers or attacked by threats, which degrades the performance of the conventional networking systems. This paper proposes Genetic Algorithm (GA) based encryption and decryption algorithm in IoT server architecture in order to improve the level of security. The performance of the proposed encryption methodology in IoT server system is analyzed using Number of Changing Pixel Rate (NPCR), Unified Averaged Changed Intensity (UACI) and Information Entropy (IE).
Keywords:
Internet of Things, encryption, security, Genetic Algorithm, performance.
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Title:
Cause & Effect Analysis on Defectiveness in Aluminum Component during Vertical Milling Centre Machining
Authors:
J DurgaVenkata Satyanarayana, B. Kamesh Srikar, Venkatraman Ramamoorthi, Raghuraman Srinivasan, Sivachidambaram Pichumani
Source:
International Journal of Latest Engineering Research and Applications, pp 06 - 10, Vol 03 - No. 04, 2018
Abstract:
Manufactured Components needs process capability index (Cpk) to appraise the quality of their items in order to improve quality and cut down the operating costs which enhance the productivity and help them to stay competitive market. In this work statistical quality control tools are used to evaluate the process capability in machined component. Causes for the occurrence of defect should be addressed during the process itself. Understanding the process and its parameter’s effect and influence the manufactured component is necessary to detect the deviations. Reducing the inspection time and number of rejections during manufacturing is addressed using the Lean-Six Sigma principle. Lean six sigma principle and techniques are being applied to the process to understand causes of the defects and to reducing the defect by following the optimized defect free process designed based on lean six sigma. This help to reduce the inspection time as well as reworking time and also reduce the cost incurred with above and rejections. In this work a machined (VMC) component is considered for analysis. During the observation of hole diameter of the components some of the deviation are identified. The main objective of this work is to minimize the deviations and improved the process capability & performance capability.
Keywords:
Cause and Effect diagram, Histograms, Control charts, Pareto analysis, Process capability, Performance capability.
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Title:
Greenhouse Gas Emission Modelling and Its Validation—A Case Study for Okhla Disposal Site
Authors:
Sourabh Manuja, Kafeel Ahmad, Inamul Haq
Source:
International Journal of Latest Engineering Research and Applications, pp 11 - 19, Vol 03 - No. 04, 2018
Abstract:
disposal sites. Waste management contributed 14% of the total global methane emissions and about 3.45% of India’s total greenhouse gas (GHG)emissions in 2010 with 6,5052.47GgCO2eq emissions. In 2015, India committed to decrease its emissions intensity per unit gross domestic product by 33–35% below 2005 levelstill 2030.
This study was undertaken with an aim to evaluate the emissions from a non-engineered landfill site and validate the findings with past pilot study.This study is the first-of-its-kind in India providing an impetus for other cities to evaluate their non-engineered sites and validate models for better reporting purposes. The developed model can also help countries evaluate the impacts of their policies and rules in reducing GHG emissions.
A model for evaluating GHG emissions was developed based on IPCC 2006 methodology and site-specific inputs and validated with respect to a past study conducted at Okhla Landfill, Delhi, India. The model predicted siteGHGemissionsas 275 Gg CO2eqyr-1in the year 2011 and 285.5 Gg CO2 eqyr-1in 2017. The developed model on IPCC 2006 methodology was also validated and indicated 16.6% lower predicted value.
The modelling exercise also estimated,a potential of 1,483.5 Gg CO2 eq GHG emission reduction till 2050 from Okhla disposal site, with an estimated peak emission suppression by 21.79%with intrusion of Swachh Bharat Mission and Solid Waste Management Rules, 2016.
Keywords:
Disposal site, Greenhouse gas emission,Modelling,Municipal solid waste, Validation
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Title:
E-cordial labeling of Path union of wheel related graphs
Authors:
Mukund V. Bapat
Source:
International Journal of Latest Engineering Research and Applications, pp 20 - 24, Vol 03 - No. 04, 2018
Abstract:
SIn this paper we discuss e-cordial labeling of path union of wheel related graphs, Pm(G) where G is W4, G4, , W5, G5, flag of (W4) given by Fl(W4) ,Fl(W5) ,Fl(G4),Fl(G5) and show that under certain condition they are e- cordial. We also show that the e-cordial labeling of path union is independent of vertex on G used to form the parh union.
Keywords:
E-cordial, path union, fusion, edge, vertex, wheel. Gear graph.
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Title:
Adaptive Fuzzy Coordinated PSO Based Modeling of Controller with SVC and PSS for Transient Stability Enhancement in Multimachine Power System
Authors:
Dr. J. Sangeetha, Dr. P. Manirajkumar
Source:
International Journal of Latest Engineering Research and Applications, pp 25 - 34, Vol 03 - No. 04, 2018
Abstract:
This paper presents the Multimachine Power system stability enhancement by simultaneous tuning of the parameters of power system stabilizer (PSS) and static VAR compensator equipped with Particle Swarm Optimized NeuroFuzzy controller. The controller provides a reference voltage signal for the PSS & SVC in such a way that it enhances the damping of the rotor speed deviations of its neighboring generators. Intelligent control is the discipline in which control algorithms are developed by emulating certain characteristics of intelligent biological systems. To achieve nonlinear optimal control at abnormal operating conditions of the power systems, the controller is trained offline by PSO and Simulation results are provided that explains the performance of the NeuroFuzzy controller.
Keywords:
Power systems, SVC, PSO, NeuroFuzzy, PSS.
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Title:
Unsupervised Segmentation for Better FR within Human-Machine Interfaces
Authors:
K. Shankar, Dr.S. Srinivasan and Dr.T.S. Sivakumaran
Source:
International Journal of Latest Engineering Research and Applications, pp 35 - 43, Vol 03 - No. 04, 2018
Abstract:
Automatic recognition of people is a challenging problem which has received much attention during the recent years due to its many applications in different fields. Face recognition is one of those challenging problems and up to date, there is no technique that provides a robust solution to all situations and different applications that face recognition may encounter. This work elaborates the design of an new color local texture features, i.e., color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), for the purpose of face recognition (FR). The proposed color local texture features are able to exploit the discriminative information derived from spatio chromatic texture patterns of different spectral channels within a certain local face region. In addition, to perform the final classification, multiple color local texture features are combined within a feature-level fusion framework. Experimental results show that FR approaches using color local texture features impressively yield better recognition rates than FR approaches using only color or texture information for recognition purpose, simulated in MATLAB.
Keywords:
Color Local Gabor Wavelet (CLGW), Color Local Binary Pattern (CLBP), Face Recognition (FR), Gabor filter, Principal Component Analysis (PCA).
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Title:
Pareto, Scatter, Cause & Effect Analysis Carried Out for Optimizing Process Route to Achieve Defects Less VMC Machined Copper Components
Authors:
B. Kamesh Srikar, J Durga Venkata Satyanarayana, Venkatraman Ramamoorthi, Raghuraman Srinivasan, Sivachidambaram Pichumani
Source:
International Journal of Latest Engineering Research and Applications, pp 44 - 48, Vol 03 - No. 04, 2018
Abstract:
The objective of the work is to investigate the various reasons for the defects that occur in forged/machined components. During mid-low volume production, quality check for each and every component is tedious work leading to increase in production cost. Hence causes for the defect should be addressed during the process itself. Reducing the inspection time and number of rejections during manufacturing is addressed using Lean-Six Sigma principles. The techniques are applied to understand the defect and then to eradicate the same during serial production. This helps to reduce the inspection as well as rework times leading to reduction in cost. Deviations in hole diameters are identified and improvements suggestions such as are made. Improvements such change in lubricants & cutting fluids during high speed machining which increase the production rate and reduce the defects. Through the improvement in coolant oil & lubricant oil during high speed machining process are key points suggested through lean six sigma approaches.
Keywords:
Cause and Effect Diagram, Check sheets, Scatter& Pareto chart.
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Title:
A Study on the Town Planning in manchar town, Detailed Zoning and its benefits
Authors:
Tuse Ashish B.
Source:
International Journal of Latest Engineering Research and Applications, pp 49 - 54, Vol 03 - No. 04, 2018
Abstract:
In zoning of town we were expected to Give separate zone for planned town after 20 years. We have given many suggestions for future development of Manchar.This village was selected because it in complete absence of recreational places, tourist economy & emergency services. This town has many graduation colleges but those students are also unserved town. So this was perfect town to be developed with high scope but lower existing development! We suggested plans for various public places like kushti stadium, water treatment plant, traffic management, emergency services, Wi-Fi town and reducing traffic congestion by shuttle bus to nearby towns, clear separation of zones which will then set preferences for future schemes, medical waste disposal, etc. We have also given some economically reforming ideas such as making town cashless, tourism development for Bhimashankar, high speed container docks to transport town’s agro and milk products safely, 24X7 solar powered truck terminus which will attract truckers, etc. Last but not least recreational and aesthetical places! We have given many regulations explained further.
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Title:
Expert Non-Expert Classifier
Authors:
NishantVhatkar, Tejas Mudholkar, Prathamesh Nadgouda, Aishwarya Patil, Prof. Sagar Patil
Source:
International Journal of Latest Engineering Research and Applications, pp 55 - 58, Vol 03 - No. 04, 2018
Abstract:
Now a day’s use of Question Answering (QA) sites is increasing rapidlyit provides all the possible answers by faculty experts. Stack overflow, Quora, yahoo, Super User etc. are some QA sites providing great service in QA. Quora is one of the popularsite where users ask some questions and the other users answer them. The quality of answer is checked by using the upvote and downvote. Unfortunately, some users avoid voting there or use wrong vote that will not help user to find better answers. To fill the gaps, in this existing system we (1) analyze properties & features of experts and non-experts on some. popular topics; (2) Then that features are tested by using Linguistics rules which differentiate the experts and non-expert on some marking and (3) develop statistical models based on the features to automatically detect experts. Our experimental results show that our module identify experts in general topics and a specific topic.
Keywords:
liws, random forest, web crawler
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Title:
Group-based Sparse and Low-Rank Representation for Diagnosis of Diabetic Retinopathy
Authors:
D. Ashok kumar, A.Sankari
Source:
International Journal of Latest Engineering Research and Applications, pp 59 - 68, Vol 03 - No. 04, 2018
Abstract:
Diabetic Retinopathy (DR) is caused by diabetes mellitus that damages the retina and leads to the vision loss. The development of automatic system for the diagnosis and grading of DR depends on the efficient detection of lesions in the retinal fundus images. Existing detection approaches suffer due to high complexity and are not feasible. To mitigate this issue, this paper presents a group-based low-rank sparse representation for the detection of DR. A Hybrid Morphological-based Scanning Window Analysis and Hit-or-Miss Transformation (HMSWA-HMT) is applied for the segmentation of retinal image. Group-based low-rank sparse representation is applied for extracting the candidate features from the segmented images. The Difference Subspace Sparse representation based Classification (DSSRC) method focuses on improving the distinguishability for the classes rather than the representation capability for the samples. The DSSRC is applied for the classification of the retinal images into normal and abnormal images. From the experimental analysis, it is observed that the proposed work yields high sensitivity, specificity and accuracy than the existing classification techniques.
Keywords:
Diabetic Retinopathy, Dictionary Learning, Group-based Sparse Representation, Low-Rank Sparse Representation.
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Title:
Optimization Algorithms for Deep learning
Authors:
Madhuri Yadav
Source:
International Journal of Latest Engineering Research and Applications, pp 69 - 72, Vol 03 - No. 04, 2018
Abstract:
Deep learning is a machine learning technique that enables computers to solve complicated problems by dividing them into simpler ones using experience and data. Deep learning has solved various complex problems with increasing accuracy over time. It has become more useful as amount of data has increased and hardware cost has decreased. Although, deep learning concept is a great success, but there are challenges which are yet to overcome. There are millions of parameters and hyper-parameters which are needed in deep learning. All these parameters are needed to be tuned and optimized for better and faster results. This paper explains various optimization algorithms for learning in deep networks.
Keywords:
ADAM, Convolutional neural network, Deep learning, Gradient descent, Optimization.
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Title:
Comparative study of the Wing-shaped micromixer for the variation of depth function
Authors:
Arshiya Anjum Khan, U.S. Tandon
Source:
International Journal of Latest Engineering Research and Applications, pp 73 - 79, Vol 03 - No. 04, 2018
Abstract:
In this paper, we have investigated the comparative study on the function of depth of passive Wing-shaped micromixer. The numerical simulation implemented by using the COMSOL Multiphysics package. We have studied the flow of a fluid which is Newtonian. Reynolds number has been over a wide range of 0.01 to 150 which show laminar behavior of the flow. We have assessed the micromixing performance by simulating for different ratios of depth to diameter. It is found that increase in the ratio of depth to diameter within the microchannel, enhance the mixing performance and results are better than straight microchannel.
Keywords:
MEMS, BioMEMS, micromixer, microfluidics, COMSOL
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Title:
De-Noising Techniques for Bio-Medical Images
Authors:
Manoj Kumar Medikonda, Dr. B.Jagadeesh, Revathi Chalumuri
Source:
International Journal of Latest Engineering Research and Applications, pp 80 - 86, Vol 03 - No. 04, 2018
Abstract:
Now a day‟s, theImage Processing used for diagnosing various diseasesin medical field. A biomedical image is used to capture the image both for diagnostic and sanative purpose. Different techniques are introduced for capturing biomedical images like Computed Tomography (CT) scans, ultrasound, Magnetic Resonance Imaging (MRI), endoscopy etc., the introduction of noise in medical images which are produced by different parts like the sensors, cameras or the scanners. Due to the presence of noise image is visualized as blotchy, grainy, textured or snowy appearance, which leads to deviations in procedure of treatment and hence it should be removed or minimized. Different noises obtained in biomedical images are Gaussian noise, salt and pepper noise, poison noise and speckle noise. De-noisinghelp the physicians to diagnose various diseases. Mainly two approaches are required for de-noising of biomedical images: one is Filter based and secondly Wavelet based. Filter based techniques are conventional like averaging filter, a median filter, wiener filter, adaptive filter, etc., which are used to reduce the noises for biomedical images. Wavelet-based technique is one of the advanced techniques used in de-noising of biomedical images. This paper deals with reducing various noises for biomedical images using various filters, its performance and concludes which filter give better performances for these respective noises.
Keywords:
Computed Tomography, filtering, Magnetic Resonance Imaging, noise, PSNR.
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Title:
Food Security Bill - Issues and Implications
Authors:
P. Sudhakara Rao, Dr. A. Sathish Babu
Source:
International Journal of Latest Engineering Research and Applications, pp 87 - 91, Vol 03 - No. 04, 2018
Abstract:
God has made people with distinct reason and every individual is a one of a kind identity and the survival and presence relies upon nourishment. A couple of blessed individuals can get rich sustenance, and a dominant part of the populace is living on lacking nourishment or experiencing hunger. There are a few obliging variables for the disgraceful advancement of Indian farming say, little size of landholdings, misleading seeds, high information costs, despicable water administration and so on. Nourishment Security to be given to every one of the general population, it is the prime duty of Government to be made accessible subjective sustenance to all individuals in the nation. Nourishment frailty is the significant issue in the nation because of low profitability due to troublesome climatic conditions, the absence of gainful costs. People in general conveyance framework (PDS). in India isn't giving legitimate security of sustenance to the general population in India. Sham proportion cards and defilement of common supplies division are significant purposes behind the disappointment of the PDS. In this association, ideal for nourishment was distinguished as the central right of individuals in India by the summit court of India. National nourishment security charge was proposed on 2010 October. This bill came into constrain on2013. The bill tries to give nourishment and sustenance security in the human life cycle. With this bill Government of India need to give rice, wheat, millets at financed cost. Facilitate government additionally suspected that the need ought to be given kids, lactating ladies and pregnant ladies in getting healthful eating routine. Straightforwardness in PDS will be given need in this bill. An endeavor has been made in this paper to break down the issues and suggestions and to comprehend whether the poor will truly profit out of the showstopper Bill.
Keywords:
Food Security, distribution system, legal initiative, lactating women
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Title:
Implementation of Layer 2 Rules using Software Defined Networking
Authors:
G Anagha, Deepthi G S, Archithaa S Rao, Pooja K, B Sudha, Sunita Katre
Source:
International Journal of Latest Engineering Research and Applications, pp 92 - 98, Vol 03 - No. 04, 2018
Abstract:
Software Defined Networking (SDN)is required for integrating and converging networks and for bringing in flexibility to networks and to reach the objective of vendor independent networking. By effecting the traffic patterns, improving scalability and achieving vendor independence, a controlled network is developed. Here we work on a network consisting of virtual hosts, switches, controller and links. This calls for the need of a network emulator and we employ Mininet for the same. Mininet runs on Linux platform. This idea when realizedon a PC, we require to run more than one operating system at a time. Virtual box(VB) allows a user to run software written for one operating system(OS) on another without having to reboot. Here we make use of an open source SDN controller, OpenDayLight Controller. This provides modular open platform for customizing and automating networks of any size and scale. Postman is the http client which is employed here to push the flows. The layer 2 rules which include flow rules for packet transfer are pushed upon desired network as a part of designing.
Keywords:
Software Defined Networking, Emulator, Network Topology, Layer 2 Rules, Port matching, Packet capture
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Title:
Security issues concerned to Cloud deployment in Insurance sector
Authors:
GS. Balaji, Vidyarthini. A
Source:
International Journal of Latest Engineering Research and Applications, pp 99 - 102, Vol 03 - No. 04, 2018
Abstract:
Even though migrating to the cloud remains a tempting trend from a financial perspective, there are several other aspects that must be taken into account by companies before they decide to do so. One of the most important aspect refers to security: while some cloud computing security issues are inherited from the solutions adopted to create such services, many new security questions that are particular to these solutions also arise, including those related to how the services are organized and which kind of service/data can be placed in the cloud. Security is considered a key requirement for cloud computing consolidation as a robust and feasible multipurpose.This article aims to give understanding of cloud technology and its deployment in insurance sector.This article also considers security issues and model for the deployment of cloud.
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Title:
Design and Analysis of Bent Tube Lugs
Authors:
S. Ganapathy, N. Saravanan
Source:
International Journal of Latest Engineering Research and Applications, pp 103 - 114, Vol 03 - No. 04, 2018
Abstract:
In wealthy power stations lugs are hand me down on bent-tubes to transfer considerable loads from the boiler to the cutoff point structure. These lugs are of carbon hearten or alloy hearten material, The diameter of these lugs separate from 6mm to 20mm.The made a pig of carried so from 100kg to 20MT.The diamond in the rough of these lugs are done as by American community of technical engineers-boiler and charge vesselcode-section1(power boiler). The raw material involves checking the stresses in the lugs, welds and tube. These lugs are in a job at valuable temperature and are brave creep. As the cycle predate available for the boiler raw material and heart is shrinkage in the late years, standardization of boiler components are absorbed on priority. As a symbol of this, we are attempting to correlate the bent-tube vow lug, by the agency of a personal digital assistant program
Keywords:
Design and analysis of bent tube lug
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