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

Volume 6, Issue 9, September (2018)

S.No Title & Authors Full Text
1 Using Arduino- Anti-Theft System for Vehicle
N Bharath Kumar, N Akash, H Aravindan
Abstract - This is an anti-theft system that is used to track the location of the lost vehicle and to stop the vehicle. This proposed work is an attempt to develop a smart system that helps us to protect our vehicle by tracking it remotely through global system for mobile communication (GSM) and Global positioning system (GPS).Basically, the system is providing the owner of the vehicle to stop his moving vehicle whenever he finds it riding by an unknown person.The owner of the vehicle can thus stop the moving vehicle by sending a command to the mobile phone hidden in the car to stop the engine. This mobile phone is connected and communicates with the Micro controller (Arduino) using the Bluetooth module. The movement of the vehicle is identified by tapping the Accelerometer,GPS and SMS sensors from the hidden mobile by using 1Sheeld technology. The ceasing of the vehicle will be done through relays (10v) and measures like engine ignition cutoff are installed in the vehicle.The owner can get the latitude and longitude of the vehicle’s location which can be directly opened in Google maps to track the actual location. This system also proves fruitful for tracking and controlling the vehicle by using Arduino and 1Sheeld technology .The main objective is to install the system within the vehicle, so that it provides the users the flexibility to track the location of the lost vehicle and to control it. This complete system is designed taking into consideration the low range vehicles to provide them extreme security.
2 Smart Pollution Affected Areas Analysing Technique-A Hadoop Based Approach
N Bharath Kumar, E Janaki
Abstract - The critical impact of pollutions on human health and environment in one hand and the complexity of pollutant concentration behavior in the other hand lead the scientists to look for advance techniques for monitoring and predicting the urban air quality, water quality and noise quality. Additionally, recent developments in data measurement techniques have led to collection of various types of data about air quality. Such data is extremely voluminous and to be useful it must be processed at high velocity. Due to the complexity of big data analysis especially for dynamic applications, online forecasting of pollutant concentration trends within a reasonable processing time is still an open problem. The purpose of this paper is to present an online forecasting approach based on Hadoop based approach to analyse the air, water and noise quality. In order to overcome the computational requirements for large-scale data analysis, distributed computing based on the Hadoop platform has been employed to leverage the processing power of multiple processing units. The MapReduce programming model is adopted for massive parallel processing in this study. Based on the online algorithm and Hadoop framework, an online analytical system is designed to analyse the air pollution, water pollution and noise pollution. The results have been assessed on the basis of Processing Time and Efficiency.
3 Medication Diagonising Guidance Tool Using Machine Learning
N Bharath Kumar, Janaki E
Abstract - Medication errors are common in general practice and in hospitals. Errors in the act of prescription writing and prescribing faults due to erroneous medical decision can result in harm to patients. Medication errors cause at least one death everyday and injures approximately 5.2 million people annually in the India. Clinical choice emotionally supportive network, which utilizes progressed information mining procedures to help clinician make legitimate choice, has gotten extensive consideration as of late. The purpose of the project is to explore potential knowledge from diagnosis history records for guiding doctors to prescribe medication correctly and it also provide prescription based on the drug-drug interaction to decrease medication error effectively. The focal point of clinical choice emotionally supportive network incorporate not just enhancing analysis exactness additionally lessening conclusion time. Most diagnosis case data in hospitals is still kept untouched and has not been used for mining, so the value behind the data is hidden. Technologies as data mining and machine learning provide possibilities to explore knowledge from diagnosis history records. Experiments are done to evaluate the knowledge from the data mining , finally Support Vector Machine is selected for the medicine recommendation model. CDSS with support vector machine classifier has offered many advantages over a traditional health care systems and opens a new way to predict patient’s disease.
4 Optimization of Process Parameters in Milling of Stainless Steel 316 Using Coated Insert and MEGA Coated Inserts
Ashwini B. Shelar, Aamir M. Shaikh
Abstract - In today’s manufacturing world it is very necessary to build up bridge between quality and productivity. This study highlights optimization of face milling operation for stainless steel 316 with taguchi orthogonal array. Twenty-seven experimental runs based on an L27 orthogonal array of Taguchi method were performed spindle speed, feed rate and depth of cut are optimized with consideration of multiple performance characteristics namely surface roughness (Ra) and material removal rate (MRR). The analysis of variance (ANOVA) is also applied to identify the most significant factor. The analysis can be done by using two different insert coatings; stainless steel 316 is difficult to machine material so to obtain good surface finish two different coating are used for machining and from that best coating can be find out. Machining can be carried out on CNC vertical milling machine with 25 millimeter cutter diameter. Finally, conformation test were performed.
5 High Performance XOR Free Approach for Convolutional Encoder
A. Anitha, SVR. Manimala
Abstract - This article presents a new algorithm to construct an XOR-Free architecture of a power efficient Convolutional Encoder. Optimization of XOR operators is the main concern while implementing polynomials over GF (2), which consumes a significant amount of dynamic power. The proposed approach completely removes the XOR-processing operation of a chosen non-systematic, feed-forward generator polynomial and reduces the logical operators, thereby the decoding cost. Hardware (HW) implementation of the proposed design uses Read-only memory (ROM) with a pre-processed addressing operation to reduce ROM size The Hardware co-simulation of the architecture is first validated and then implemented with Xilinx Virtex-V FPGA.
6 An Investigative Study on Enhancement of Hardness of Low Carbon Steel
G. SreeBhavani Charan, Dr G. Naga Malleswara Rao
Abstract - Mild steel also known as plain-carbon steel, is the most common form of steel because its price is relatively low while it provides material properties that are acceptable for many applications, more so than iron. Low-carbon steel contains approximately 0.05 to 0.32% C and are ductile, malleable, tough, machinable and weldable. Heat treatment is the only option to increase the hardness of low carbon steels which cannot be hardened in cold working. When heat treatment is chosen to increase the hardness in case of low carbon steels, only the Hardening operation is considered. Heat treatment is an operation that involves heating the steel to temperatures around 850–900oC and quenching them to achieve a Martensitic Microstructure. The material which possesses martensitic structure is treated as hardened highly and easily. Heat treatments to form martensite are generally applied to steels containing more than 0.3% C. In these steels, the gains in hardness are most substantial. But, steels containing less than 0.3% C are difficult to harden in heavy sections as they can’t obtain martensite as micro structure. In this work, different types of quenching media had been selected to investigate their influence on hardness at different quenching temperatures.The prime object of this investigation is toillustrate the effect of heat treatment on low carbon steel (AISI 1020) to expose its mechanical property(hardness) and microstructural (microstructures) properties.
7 Classification Technique for Brain Tumor Detection
Reena, Varinderjeet Kaur, Dr.Naveen Dhillon
Abstract - In the existing paper, weight based algorithm is used to classify the normal and cancer cells and it is been analyzed that weight based algorithm taken long time to classify the data. To classify the data in minimum amount of time, HMM classifier is used for classification. The second issue with weight based algorithm is of accuracy. As due to weight calculation accuracy of classification is less which can be improved with the use of Bayesian classifier In the feature selection part on three features are used which are mass, density and margin . In the improvement more features like tissue color will be added which improve detection rate The simulation is performed in MATLAB and it is been analyzed that proposed technique performs well in terms of fault detection rate, accuracy, MSE and PSNR.
8 An Evaluation of SCM Initiatives in Indian Manufacturing Industries
Asish Sood, Dr. Chandan Deep Singh
Abstract - Delivering great quality and decrease cost is a key component of each venture and firm. Now daysthere is exceptionally hard to contend our organizations when organization experienceimprovements. So get great related these organizations embrace some lean assembling process. In this proposed paper, examine around one system. SCM.Is presented in 1990. SCM tries to improve thestandard of yield by recognizing and expelling of reasons for imperfections. In this we getinformation from different enterprises and anunwavering quality test, AHP, VIKOR.Furthermore, done relationship investigation. From these we get comes about this how profitabilityand cost relies on upon various elements of any industry. In this research paper, we made Karl PearsonCorrelation Matrix, which demonstrates the connection amongst info and yield components withthe quality and development. Toward the end, we reasoned that SCM made a perceptiblecommitment, representatives working all the more helpfully, change in the nature of the item, efficientworking aides in accomplishing positive outcomes, inspiration and support from topadministration and group pioneer influences the execution.
9 Design of Flexible Pavement
G. Pranay Kumar, Ch. Mahesh, D. Naresh, K. Sai Sindhu
Abstract - The highway plays an important role in development of a country and also improves the living standard of people. The road development programmes envisaged for the country involve large amount of money, man power, materials, and machinery not only for the construction of new roads, but also for the improvement of existing road network. The objective of this project is to provide a pavement design with sufficient information so that the necessary input data can be developed and proper engineering principles applied to design a new flexible pavement. The design is based on Indian Road Congress “guidelines for flexible pavement”. These are based on CBR method: in this approach, the pavement thickness is related to the cumulative number of axles to be carried out for different sub grade strengths. Within the rapid growth of traffic, the pavements are required to be design of heavy volume of traffic of the order of 150 Million Standard Axles (MSA). There are so many methods for pavement design but that methods are theoretical. The IRC design criteria are based on CBR method and traffic. So this enables us to design practically. The design is based on IRC 37-200. In this project we discussed about the test and design procedure.

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