bluuebunny/crossref_metadata_2025 huggingface dataset:
Authentication and overhearing to prevent internal and external attacks in WSN
Authors: Maidhili R Siri , GM Karthik
Published: May 2018

Wireless Sensor Networks are usually the assortation of sensors, which are versatile in sensing the data based on multihued exertions. The cardinal bulge with the sensor networks is its dispersed nature. Since they are spread over, they sense and forward data from their dispersed areas. They consume high energy resources and vulnerable to various attacks. To prevail this bulge, source identity (signature) based authentication scheme is proposed on ECC to prevent external attacks and a neighbor monitoring scheme is proposed by overhearing to prevent internal attacks. Now the cardinal strike with the sensor networks are its bounded energy resources, they have a very limited / less energy resources, they cannot have a hefty application assignment. To prevail this strike and to improve the energy efficiency, a low energy consumption MAC protocol is acquainted called the IEEE 802.15.4 / ZigBee standards un the MAC layer, through which the data forwarding among the networks devours very low energy when compared to all other traditional methods. The main objective of the proposed work is to perform broadcast after authentication, to prevent resource consuming attacks through authentication externally and to construct a monitoring table for each node by overhearing and detecting them based on their activities if they are malicious to provide internal security to the network. The proposed work attains a minimal energy wastage along with security integrated in WSN communication. The ratio of efficiency comparisons of the broadcasting authentication scheme and monitoring scheme for the traditional and the proposed works for the factors secure authentication / monitoring and energy consumption is resulted to be as 7:2. Thus the proposed system has a higher endorsed based on the generated results.
Hybrid task scheduling algorithm for high availability in cloud
Authors: K Snehaa , S Sivasankari
Published: May 2018

Today, wherever we go we will find one thing or the other that is running in cloud. It has become an essential component in our everyday life. Many cloud service providers have been extensively working on improving the performance of the service provided. Highavailability in cloud is a place where various cloud service providers are extensively researching. High availability in cloud can vary depending on the scenario it is considered under. In our case we are going to see this in the form of response time for the request to get processed and how we can improve it. We are proposing an algorithm which will ensure the above and also provide an efficient model for analysing the same. We will also be configuring Reinforcement machine learning algorithm for training the load balancer and the server to process the request faster in a short duration of time.
Validating the performance of the HVAC system for commercial buildings
Authors: Goel Swati , Manikandan R
Published: May 2018

Commercial Buildings consumes a large amount of world’s energy. Energy components comprises of Lighting, Heating, Cooling, Ventilation, water heating etc. To make the building energy efficient, we need to maintain, monitor and apply thermal optimization. Numerous researchers over the world are chipping away at vitality demonstrating and control with a specific end goal to create techniques which will bring about general decrease of vitality utilization. This paper presentstheworkflow of the energy modelling HVAC (heating, ventilation and cooling)systemwhich proved to be the complete solution for low energy buildings.Also the estimation of the thermal load which helps in validation of architectural design for energy efficient buildings.
A review on mitigation of the DDoS Attack in cloud in regulated environment
Authors: Asia Ayaz Andrabi Syed , Pandey Sachi , Nazir Akthar
Published: May 2018

Distributed Denial of Service (DDoS) attacks are aimed at exhausting various resources of victim hosts, thereby preventing legitimate usage of their computational capabilities. In this paper, a proper and systematic mitigation technique presented to mitigate the DDoS attack in cloud environment. A robust mechanism is presented which consists of software based puzzle generation method to validate the real customer of cloud services provider from non-reals’ ones to provide better DDoS attack mitigation solution.
Smart home system based on IoT
Authors: Pavan Kumar T , Hemanth krishna R , Sai krishna M , Meghana Jhanavi
Published: May 2018

In this era, IoT (Internet of Things) is the most emerging technology which is improving day-by-day. According to a survey the IoT growth will be from USD 170.57 Billion in 2017 to USD 561.04 Billion by 2022, at Compound Annual Growth Rate (CAR) of 26.9%. IoT is the smart technology which used to control the devices from anywhere we are. In this project we are going to discuss on how to control and provide security to our home appliances. There are many others ways to get control and othere security to our home appliances but we are trying to implement that by using our method. So, to provide security to our home appliance we are using a micro-controller, sensors, buzzer and a GSM module. The micro-controller is used to get control over the home appliances we are connected with and the sensors will give the information about what is happening over there, and if there is any threat the buzzer connected there will make the noise and makes alert and through the GSM module the information will be sent the registered mobile number. By, seeing this message will can get alert and provide security to our home appliances.
Internet of things survey on crop field smart irrigation automation using IOT
Authors: Pavan Kumar T , Kumar Lala Satyam , Sravani Boppana , Sandeep Andru
Published: May 2018

This paper gives a general survey on Crop Field Smart Irrigation Mechanization utilizing web from claiming things. The paper covers details regarding the basics of Internet of Things and also the importance of Agriculture in a country like India. Internet of Things is fundamentally those intercontinental for everyone electronic units through Internet. By this interconnection the devices work in a synchronous way to achieve common goals. It is an evolving technology in the areas of trade, industry, medical and many applications. Many applications of IoT make use of sensors for detecting and activating gadgets helping in sharing of data. Agriculture is one such trade on which the entire nation is dependent. We in brief review the various techniques which will allow the farmers to grow more of their crops and reduce wastage of water by using sensors and automation of the irrigation system. The irrigation of crop fields depends on the data collected by the soil moisture sensors. The review can also be extended by understanding the way light intensity is controlled in greenhouses and also that the farmers can be able to monitor the field conditions from anywhere. This system is very useful in areas with scarcity of water. This sys is 92% more efficient than the conventional approach.
An Efficient CNN a deep learning approach applied on the image matching context
Authors: Naga Bushanam V , Satyananda Reddy Ch
Published: May 2018

Image matching is a quite challenging task to identify matching images in the data. There are multiple methods in computer vision techniques such as histogram-based algorithms, colour or edge based algorithms, textual based features, SIFT and Surf algorithms which will help to identify similar images. Here in our paper we are addressing an industrial problem to provide the better solution where US multinational courier delivery service facing challenges in delivering the products where labels/tags and bar codes of the products are missed while delivering to the customers and customers comes with the product image and with some information about the product. The job is to map the user or customer product information with the existing missed products. The advances in computer science and availability of GPU Machines, the problem will be addressed, and solutions can be automated using deep learning approaches. The paper describes the solution of matching the solution accurately and comparing the solution with the existing classical computer vision algorithms.
Optimal control of microgrid by decentralized controller
Authors: Subhashree A , Thenmalar K , Deepa K
Published: May 2018

The Microgrid is modern small range of centralized electricity system. It achieves specific local goal such as reliability, carbon emission reduction, diversification of energy sources, and cost reduction. Microgrids are an ideal way to integrate renewable sources. The Microgrid is motivated by many factors such that , the need to integrate more renewable power to mitigate the global warming., increasing interest in connecting more Distribution Generation as a way to postpone large investment in transmission and bulk generation and the need to increase the reliability of the power system overall to minimize distribution losses. In microgrid the power generation is mainly depends on renewable energy sources. The renewable sources are unpredictable, so to maintain the system stability in uncertain environment is very difficult. During the changes in microgrids, it is to satisfy the demand with minimum tracking time and to stabilize the system. In order minimize the tracking time for attaining the system stability, robust PID control method is proposed. The simulation has been done in MATLAB/Simulink with required formulation.
Survey onidentification and classification of waste for efficient disposal and recycling
Authors: Prasanna M Adhithya , Vikash Kaushal S , Mahalakshmi P
Published: May 2018

Waste management is a pervasive problem in today’s world and is rising continuously with rise in urbanization. For ecologically sustainable development, waste management is a vital requirement in many countries. It is very essential to sort the waste at base level so that there can be proper disposal of waste at the dumping sites. Sorting of waste requires more manpower and consumes more time too. Waste can be sorted and managed in numerous types of techniques. Analysing and classifying the garbage using image processing can be a very productive way to process waste materials. These papers talk about the traditional methods in which waste disposals are taking place. These also talk about the drawbacks faced by the already existing systems and ways to overcome it.
Design and implementation of dimmer based smart street lighting system using raspberry Pi and IoT
Authors: Sravani Annareddy , Malarvezhi P , Dayana R
Published: May 2018

In olden days street lights were not operated in an automatic way. Automation of street lights has become apparent these days. But we can notice that we do not require high intensity light during night hours, i.e. when there is no traffic, no people in the streets or on roads and even in the early mornings. As per requirement, the light intensity can be reduced using dimmer circuit. Light dependent resistor (LDR) sensors are used to sense the darkness and Passive Infrared (PIR) sensors are to detect the objects. Raspberry Pi (Master node) and Arduino (Slave node) will communicate each other and they help the proposed system to work more effectively. Current sensor and Voltage sensor are used to measure the current and voltage respectively. By reducing the intensity at these times, energy can be saved to some extent and the data is uploaded to the cloud. We can monitor and control the street lights in a smart way as per our requirement. Fault detection, minimization of cost, reducing the loss of electricity and man power are also possible. Hence, this proposed smart street lighting system will be helpful to the society in cost effective way.
Band notched self complementaryultra wideband antenna for wireless applications
Authors: Ramakrishna Ch , A.E.Satish Kumar G , Chandra Sekhar Reddy P
Published: May 2018

This paper presents a band notched WLAN self complementaryultra wide band antenna for wireless applications. The proposed antenna encounters a return loss (RL) less than -10dB for entire ultra wideband frequency range except band notched frequency. This paper proposes a hexagon shape patch, edge feeding, self complementary technique and defective ground structure. The antenna has an overall dimensionof 28.3mm × 40mm × 2mm, builton  substrate FR4 with a relative dielectric permittivity 4.4. And framework is simulated finite element method with help of high frequency structured simulator HFSSv17.2.the proposed antenna achieves a impedance bandwidth of 8.6GHz,  band rejected WLAN frequency range 5.6-6.5 GHz with  vswr is less than 2.
Automatic power factor and speed control of three phase induction motor using programmable logic control
Authors: B. Venkatramanan C , Padma S
Published: May 2018

This paper proposes an efficient speed control and power factor improvement of three phase induction motor using PLC. Hardware and software are implemented in this work. The hardware consists of power-circuit and control-circuit of the working system and software PLC programs were developed. Power factor correction is applied to enhance the efficiency of transmission network. Three phase induction motor is used which acts as inductive load which produce variation in power factor. The power factor of the supply line is directly monitored by the Multi-Function Meter which is connected in parallel to the supply line. The value of the capacitance (capacitor bank) for correcting the power factor variation due to induction motor is found out separately. Capacitor bank for the respective load is triggered by using PLC, which connects the capacitor bank parallel to the load and thereby bringing the power factor nearly to unity. The speed of the motor can also be varied from minimum value to the rated value by VF method. The results obtained prove that the power factor can be improved automatically and also accurate speed control can be obtained.
Analysis of exhaust manifold to improve the engine performance
Authors: Krishnara J C , Rajesh Ruban S , Subramani N
Published: May 2018

The aim of the work is to analyze the performance of the engine exhaust manifold. Because the engine exhaust manifold is a significant factor in the engine performance. In this work the manifold design is prepared with the help of CAD software and it is analyzed by the ANSYS. This CFD and thermal analysis also done to check the performance of the redesigned exhaust manifold. The aim of CFD simulations performed to investigate the volumetric efficiency behaviour of an exhaust.
Power quality improvement and reactive power compensationusing enhancedsliding mode controllerbased shunt active power filter and static VAR compensator
Authors: Rajesh T , Rajeswari S
Published: May 2018

The power quality is the challenging criteria in all equipment’s at all levels comprise industrial sectors and consumer places. Some parameters are very sensitive which may affect and disturb the power quality. These parameters are harmonic current, power compensation and voltage sag. Providing the source without these parameters with efficient power quality is essential. Hence by selecting proper device the power output may reach without any interruption along with linear, non-linear and unbalanced loads. This paper introduces a Sliding Mode Controller (SMC), a very effective controller implemented with Shunt active filter and Static VAR Compensator (SVC) FACTS device which increases the reactive power compensation and suppresses the harmonic to enhance the system performance with high reliability.
Energy aware dynamic virtual machine consolidation in cloud data centers
Authors: Anusha G , Supraja P
Published: May 2018

Cloud computing is a growing technology now-a-days, which provides various resources to perform complex tasks. These complex tasks can be performed with the help of datacenters. Data centers helps the incoming tasks by providing various resources like CPU, storage, network, bandwidth and memory, which has resulted in the increase of the total number of datacenters in the world. These data centers consume large volume of energy for performing the operations and which leads to high operation costs. Resources are the key cause for the power consumption in data centers along with the air and cooling systems. Energy consumption in data centers is comparative to the resource usage. Excessive amount of energy consumption by datacenters falls out in large power bills. There is a necessity to increase the energy efficiency of such data centers. We have proposed an Energy aware dynamic virtual machine consolidation (EADVMC) model which focuses on pm selection, vm selection, vm placement phases, which results in the reduced energy consumption and the Quality of service (QoS) to a considerable level.
Evolution of access control models for protection of patient details: a survey
Authors: Sinha Geetanjali , Shankar K.C Prabhu , Jain Shaurya
Published: May 2018

Hospitals across the world are adapting to Electronic Hospital Information Systems and are moving away from the manual paper systems to provide patients efficient services. Numerous Access ControlModels have been deployed for securing patient privacy one of them being Role Based Access Control Model (RBAC). The current models merely allow access on the basis of roles and role hierarchy without actually understanding the real intention of the person accessing the system. This could lead to a compromise of patient privacy and thus new methods have been evolving. In this survey we will see an evolution of the access control models which lead to the discovery of KC-RBAC (Knowledge Constrained Role Based Access Control) Model which takes into consideration the knowledge related to the medical domain along with the role to provide authorization.
GSM based dual power enhanced LED display notice board with motion detector
Authors: Kasilingam Gowrishankar , Nithiyananthan K , Ramesh Mani Priyanka , Thomas Sunil
Published: May 2018

In this paper, a new improved Light Emitting Diode (LED) Display notice board with GSM technology has been created to plugs in all the drawbacks in existing framework. The proposed model has an excellent display notice board to display notices or messages at places that require real-time visibility, thereby transferring messages by Short Message Service (SMS) through cellular device. The proposed work in this paper elaborately narrates the procedure to construct a display notice board that has the quality of displaying messages in continuously running mode, and enabling the user to alter the ongoing message using SMS instantaneously. This system also has the feasibility to bind with other devices such as PC or laptop. The best feature of proposed system is the dual system for changing messages. And also utilizes two way power supply such as Renewable energy (Solar Power) and AC power. This feature enables the proposed model to work under any situations which overcomes the drawback in the existing display notice boards. Additionally, a motion detector has been included which turn ON or OFF the system automatically if any motion is not sensed.
A comprehensive survey of research based on extraction of opinion words and opinion targets from customer reviews
Authors: Kaur Harminder , Bandyopadhyay Pritam , B Sowmiya
Published: May 2018

This survey paper categorizes, compares, and summarizes the algorithms, data sets and performance measurement in the published articles related to extraction of opinion targets and words from customer reviews. The systems reviewed either deploy a supervised or completely unsupervised algorithm for the process. Most of the systems rely on K-nearest neighbor algorithm or a bootstrapping approach. Most of the methods have produced a list comprising of opinion targets from the customer reviews of a product. As a result, opinion targets usually are product features or attributes. The approaches mentioned in the papers reviewed suffer either from error propagation or from lack of automation for parsing long span relations. Certain approaches have taken an initial bag of seed words and proceeded to exploit the syntactical relationship between opinion words and targets. Mainly online product reviews have been used. It is generally believed that the co- occurrence of certain target and opinion words in close proximity makes them more relevant to each other and to the product as well. Owing to the nature of online review data sets most literature have not include assessment of opinion targets and words across multiple domains.
Performance evaluation and analysis of 64-quadrature amplitude modulator using Xilinx Spartan FPGA
Authors: Anthony Prathap Joseph , S.Anandhi T , Ramash Kumar K , Srikanth B
Published: May 2018

This paper proposes the design of 64-Quadrature Amplitude Modulation using the Very High Speed Integrated Circuit Hardware Description Language (VHDL) coding and XILINX SPARTAN Field Programmable Gate Array (FPGA) real-time implementation for validation. QAM is used in modern digital communication applications like set-top box, satellite TV, wireless and cellular technology etc. In this paper, 64-QAM is implemented and compared with three different XILINX SPARTAN FPGA devices say 3A DSP, 3E and 6E. The power, current and thermal parameters are performed and compared. The power consumed for the design of 64 QAM using the Xilinx SPARTAN 6E FPGA device is 0.014W and 15.9 C/W of Effective TJA for the XILINX SPARTAN 3A DSP FPGA. The device utilization of the 64-QAM design using the XILINX SPARTAN 3A DSP is low.
Performance analysis of different designs of all-optical D flip flop
Authors: Archana K , Manohari R , Prince Shanthi
Published: May 2018

All optical flip flops play an important role in optical networks as well as in the field of optical computing. Optical memories are used for storing decisions in photonic packet routers temporarily. In this paper all optical D-flip flop is designed based on all optical gates. The nonlinear effects such as XGM (Cross Gain Modulation), XPM (Cross Phase Modulation) and FWM (Four Wave Mixing) are used to design all optical gates. We designed the D flip flop based on two logic that are NAND-NAND logic and NAND-NOR logic. The performance of both the designs is analyzed and the functionality of all optical D-flip-flop is verified using the truth table. It is proved that NAND-NAND logic is more effective than NAND-NOR logic.
Performance analysis on bipolar PWM strategies for single phase quasi-Z-source fed seven level modified cascaded H-bridge inverter with asymmetric switched-inductor cell
Authors: Meenalochani K , Shanthi B , R.Balamurugan C , Prem sunder G
Published: May 2018

Multilevel inverters are adopted for high power applications due to its lower harmonic distortion and reduced device voltage stress which also permit to use the renewable energy resources effectively. This paper presents performance study of various PWM strategies for single phase Quasi-Z-source fed seven level Modified Cascaded H-Bridge Inverter with asymmetric switched-inductor cell. Simulation using MATLAB-SIMULINK is performed with bipolar multi-carrier PD, APOD, POD PWM techniques with sine wave reference and trapezoidal reference for the chosen Quasi-Z-source modified CHB MLI. This paper suggests notably improved results to yield great boosting in root mean square value of the fundamental component with enriched voltage enhancement techniques along with suitable PWM strategy.
Design and fabrication of an economical coconut Dehusking machine
Authors: R Krishnan , P.P Mahalingam , Ratna kumar.P.S Samuel , T Babu
Published: May 2018

A coconut is the fruit of a coconut palm belonging to arecaceae family and it is used by one third of the population in the world. The coconut needs to be dehusked before it could be utilized for any of the purpose it serves. The husk of the coconut can be removed by various techniques. Manual dehusking is the conventional process followed widely among farmers. The labour cost incurred and the time consumed can be considerably decreased by increasing the usage of machines. All the coconut growers cannot afford to own an automated machines used in developed countries because of high cost. This project attempts in making a dehusker which is affordable and also has higher productivity. The cost of the dehusking machine is also affordable which makes it better than hydraulic dehusking machine. The machine has two rotating shafts with spikes mounted on a frame. The shafts are rotated by a three phase motor. The output speed is reduced to 30 rpm by using gear box. When the coconut is placed between the spiked shafts rotating in opposite directions, the husk is peeled off from the coconut.
Neural network controller based sequential switch cascaded H-bridge multilevel inverter
Authors: Ramya M , Usha Rani P , Ganesan @ Subramanian G , Ramash Kumar K
Published: May 2018

This paper presents a novel cascaded multilevel inverter structure with reduced devices. This structure is termed as sequential switch cascaded multilevel inverter. The basic asymmetrical hybrid circuit is described and is capable of generating 17 voltage levels. The various modes of deriving 17 levels are explained and the proposed topology is compared with existing topologies in various aspects. Neural network controller can be used to generate the gating pulses. The algorithm can be trained online by using back propagation algorithm and also an algorithm to determine the number of levels, maximum voltage ratings and power loss is explained. The simulation can be done by MATLAB Simulink.
Attendance marking system using face recognition & RFID and prevention of examination Malpractice system
Authors: Maria Dominic Savio M , Yuvaraj S
Published: May 2018

In the presentscenario, Every University/College consists of many students, with the increased number of students it is a very tough task for the university to verify attendance manually and control malpractice during the examination. During a written test it is very easy for students to copy. To overcome these problems, in this paper we are going to discuss on Exam Monitoring systemwith a computer-based examination, attendance verification, and malpractice detection. This system consumes comparatively less time to verify attendance, generates distinct sets of questions for students, monitors duringtheexam, and the result is stored in the cloud.
Reduction of SSR oscillations in power system network with STATCOM and UPFC
Authors: Sreeranganayakulu J , V. Marutheswar G , Sujatha P
Published: May 2018

SSR is a complex issue in electric power transmission network because of which the mechanical arrangement of a multi mass model encounters shaft harms. To keep away from this issue the mechanical oscillations which for the most part happen amid a balanced short circuit fault on the transmission network ought to be moderated by a few means. This paper delineates about the IEEE second benchmark framework which is demonstrated and simulated in MATLAB Simulink. The outcomes are compared when Static Synchronous Compensator (STATCOM) is incorporated and furthermore with those when Unified Power Flow Controller (UPFC) included for their viability in moderating the Subsynchronous Resonance motions.
IoT- save the community project
Authors: Deepa N , Agarwal Rakshit , Uprety Rohan , Biswas Anubhab , Venkat Krishna A
Published: May 2018

IoT offers elaborate structures that combine multiple disperse additives towards their synergetic use. The machine suggested within this paper is an answer to track the environment conditions at a selected location while allowing the facts to be seen everywhere around the globe for the propagation of statistics in absence of any current infrastructure. Importance is given on how sensing and communique applications of IoT be utilized successfully in case of catastrophe control. The hardware of the module used for this motive is calculated and elaborated in a detailed way.
The reordered deblocking filter and SAO architecture for HEVC system
Authors: Nandhagopal N , Navaneethan S , Arul Murugan C
Published: May 2018

High Efficiency Video Coding (HEVC) used in broad band and wireless applications employs two in-loop filters to remove the blurring artifacts, blocking artifacts and ringing artifacts. The standard h.264/AVC deblocking filter which requires more memory initially filters the horizontal borders, followed by the vertical borders. The results of vertical borders filtering are utilized in the horizontal filtering process and the obtained results are further stored in temporary memory. The proposed system comprises of a reordering filter to reduce the order of the filter and a SAO to modify the decoded samples to a new offset value inorder to perform robust encryption mechanism. Hence reorder filter reduces the memory needed for this filtering process. In HEVC, SAO is an in-loop filter and located next to deblocking filter. The idea of SAO is to compensate renovated samples by adding an offset to each pixel, so that the distortion between renovated picture and original one can be reduced. Implementation of proposed simulation work is done by Verilog HDL and implemented using Virtex 6 FPGA to compute the power and hardware requirements in terms of LUT and slice registers.
A Study on seismic load characteristics and modelling of chimney structure using fem approach
Authors: V. Dhandapani N , Manimaran R , Velmurugan R
Published: May 2018

Chimneys are landmarks for power plants and industrial setups for modelling them using FEM approach. Chimneys are vertically and discharge, gaseous products of combustion, chemical wastes gases and exhaust air from and industry to the atmosphere. Rapid growth of industrialisation and increasing need for air pollution control as made RC chimneys as common structure in modern scenarios. With large scale industrialisation number of chimneys and stacks being constructed is increasing year by year. Here the chimney structure can be analysed by finite element analysis using FEM approach. Based on ANSYS Software, the structure can be meshed (discretized into several parts are called elements). At last, we can apply the boundary conditions and calculate its design by applying various loads.
A Complex shaped crucible frame structure modelling and finite element analysis for stress and deformation
Authors: V. Dhandapani N , Manimaran R , C. Uvaraja V , Sridhararan R
Published: May 2018

Crucible frame structures are otherwise called as complex frame structures and its study is needed for further improvement in the emerging technology. The frame structure are frequently used an operational system support of  other mechanisms of a physical construction and/or steel frame that limits the assembly's extent in this study crucible frame structures are analysed using Finite element analysis and the results are expected in terms of safety for actual use. Based on ANSYS Software, the crucible structure can be meshed (discretized into several parts are called elements). At last, we can apply the boundary conditions and calculate its maximum deformation by applying various loads.
Experimental analysis on characteristics of CarbidicAustempered Ductile Iron
Authors: Dhanapal P , Raja Sankar M , Manimaran R , Velmurugan R
Published: May 2018

ADI is a material known for Impact toughness, hardness and wear resistance. CarbidicAustempered Ductile Iron [CADI] is a ductile iron which contains high wear resistance alloy carbides in its matrix and is produced by selecting proper composition of material through melting route. Two different alloy compositions of carbon equivalent close to the eutectic composition with variation in the chromium content are used in this study. A detailed microstructure characterization of the material is studied. Effects of austempering parameters on the mechanical properties like impact toughness, hardness and wear resistance are evaluated. Improvements in themechanical properties are found and are correlated with the microstructure. SEM analysis of the wear surface is also studied.
Artificial intelligence based on agent based modelling with cyber security for remote operated vehicle on dangerous terrain
Authors: Kumari Priyanka , T. Aarthy S
Published: May 2018

A major problem of decision making for autonomous robots is the localization of the robots towards the origin. The point on which the paper is mainly focusing to save human lives, money and conserve the environment too. In the proposed project a firefighter robot is implemented which is efficient to detect fire flame and smoke and cyber security are implemented to secure the data that are recorded in a web page. Here using the RGB to HSV algorithm and motion detection algorithm to detect the fire flame and smoke in python language.
Identity and access management using Boto and JSON
Authors: Adhirai S , Singh Paramjit , P. Mahapatra R
Published: May 2018

Cloud computing has emerged as the important data processing tool as it tackles exponential data growth. This, in turn, makes security something of a moving target. The National Institute of Standards and Technology (NIST), has declared the Identity and Access Management (IAM) as one of the major threats to the cloud computing. The Top Threats Working Group of Cloud Security Alliance (CSA) ranks “IAM” as the second topmost threat among twelve biggest threats in cloud computing. IAM allows the cloud server for managing the web services and herby allowing the users to manage the users and corresponding permissions (user policies). Other benefits posed by the IAM are central management ofusers, and maintain several security qualifications. This paper focuses on Managing IAM Users, and Working with IAM Policies using JavaScript Object Notation (JSON), and Boto. The paper concludes utmost care should be given to IAM user management and IAM user policies. It is the IAM Policies which play the sole role of ensuring security. If you don’t set up IAM policies properly, you will create security holes leading to security lapses.
A Fuzzy adaptive hysteresis band controller for three phase four wire UPQC
Authors: Shamshul Haq S , Lenine D , V. N. L. Lalitha S
Published: May 2018

Unified Power Quality Compensator (UPQC) is used to protect the sensitive loads in the distribution system from voltage and current disturbances. The compensation capability of UPQC depends on the control strategies used for shunt and series converters. Conventional adaptive hysteresis controller pulse width modulation technique had failed to track exactly during transient conditions and disturbances at load and source side. In paper fuzzy adaptive hysteresis controller is proposed for three phase four wire UPQC for compensating voltage sag/swell, current harmonics, voltage harmonics and neutral current compensation. Fuzzy adaptive hysteresis controller can effectively compensate the power quality problems during the transient conditions. A comparative simulation analysis of proposed and conventional methods are presented   in this paper using MATLAB/SIMULINK tool.
Design of data confidential and reliable bee clustering routing protocol in MANET (Vol 2)
Authors: RB Sajyth , G Sujatha
Published: May 2018

Mobile ad hoc network (MANET) requires extraneous energy effectualness and legion intelligence for which a best clustered based approach is pertained called the “Bee-Ad Hoc-C”. In MANET the mechanism of multi-hop routing is imperative but may leads to a challenging issue like lack of data privacy during communication. ECC (Elliptical Curve Cryptography) is integrated with the Bee clustering approach to provide an energy efficient and secure data delivery system. Even though it ensures data confidentiality, data reliability is still disputable such as data dropping attack, Black hole attack (Attacker router drops the data without forwarding to destination). In such cases the technique of overhearing is utilized by the neighbor routers and the packet forwarding statistics are measured based on the ratio between the received and forwarded packets. The presence of attack is detected if the packet forwarding ratio is poor in the network which paves a way to the alternate path identification for a reliable data transmission. The proposed work is an integration of SC-AODV along with ECC in Bee clustering approach with an extra added overhearing technique which n on the whole ensures data confidentiality, data reliability and energy efficiency.
An approach to reduce turn around timeand waiting timeby the selection of round robin and shortest job first algorithm
Authors: Kumar Sarvesh , Kumar Gaurav , Jain Komal , Jain Aditi
Published: May 2018

In this research,a study on operating system tells about its working,  how it helps as interface between user software and system  hardware .To implement this, different scheduling is used to provide multiple processing in a hardware. There are different levels of scheduler applied in different levels of process from ready queue to termination. This paper focuses on the average amount of waiting time and amount of turnaround time of processes. The proposed algorithm purely defines less waiting time and turnaround time as compared to the round robin scheduling and shortest job first scheduling algorithm.
Compensation of voltage Sag using STATCOM
Authors: Venkatesan Savitha , Nagarajan Booma
Published: May 2018

Due to unpredicted non-linear loads, power quality problems, a raise in the transmission system. One such problem is voltage sag. Voltage sag is caused by the non-linear load which demands reactive power, but the balanced 3F source provides required reactive power of the load with reduced voltage at the receiving end. In this paper, simulation study has been performed to reducethe voltage sag issue. A transmission system with generation source with different loading conditions is considered and study has been done. A 3F medium P model transmission line is designed with a power source of 11kV.  A shunt connected compensation unit called Static Synchronous Compensator (STATCOM) reduces the voltage sag in the transmission line. STATCOM provides the required reactive power demanded by the non-linear load along with the source for compensation of voltage sag. The STATCOM circuit comprises of Voltage source converter(VSC) unit and a DC source. Reactive power compensation is done by VSC unit firing angle control. The source of the STATCOM can also be from renewable energy system. This AC source is converted by a AC-DC-AC converter unit.The firing angle is controlled by the control unit which ensures the continuous and balanced power flow even under sudden change in load conditions. The simulation results depict the characteristics of the developed STATCOM.
Asurvey on automatic music generation
Authors: Jain Shubham , Pandian A
Published: May 2018

Just like you should not watch a foreign language movie without its subtitles, identically you should not listen to music without its lyrics Music lyrics are words that combine to produce a song in harmony. Usually the music lyrics that we normally listen to are human written and no machine involvement is present. Writing music has never been a easy task, lot of challenges are involved in this because the music lyrics need to be meaningful and at the same time it needs to be in harmony and sync with the music being played over it . They are written by great artist who have been writing music lyrics for years. This project tries to automate the process of music lyrics generation using computer program which we produce lyrics and reduce the burden on human skills and can generate new music lyrics and a very faster rate than humans ever can. This project also aims toward the merge of human and artificial intelligence.
An efficient fog computing for comprising approach to avoid data theft attack
Authors: Pavan Kumar T , Eswar B , Ayyappa Reddy P , Sindhu Bhargavi D
Published: May 2018

Cloud computing has become a new paradigm shift in the IT world because of its revolutionary model of computing. It provides flexibility, scalability, and reliability and decreased operational and support expenses for an organization. The Enterprise edition software’s are very costly and maintaining a separate IT team and maintaining their own servers is very expensive and that’s the reason why most of the companies are opting for Cloud computing over enterprise edition of the software. However, few organization cloud customers are not willing to step to cloud computing up on a big scale because of the safety problems present in cloud computing. One more disadvantage of Cloud is it’s not suitable for another revolutionary technology i.e.IoT(Internet of things)In this paper we are going to present the Advantages of Fog Computing and Decoy technology to address the security in cloud computing by extending it into fog computing.Fog Computing is a new paradigm in which the computing power moves to the edge of the network. So, it’s also called as Edge Computing.
Heart disease prediction using machine learning techniques : a survey
Authors: V. Ramalingam V , Dandapath Ayantan , Karthik Raja M
Published: May 2018

Heart related diseases or Cardiovascular Diseases (CVDs) are the main reason for a huge number of death in the world over the last few decades and has emerged as the most life-threatening disease, not only in India but in the whole world. So, there is a need of reliable, accurate and feasible system to diagnose such diseases in time for proper treatment. Machine Learning algorithms and techniques have been applied to various medical datasets to automate the analysis of large and complex data. Many researchers, in recent times, have been using several machine learning techniques to help the health care industry and the professionals in the diagnosis of heart related diseases. This paper presents a survey of various models based on such algorithms and techniques andanalyze their performance. Models based on supervised learning algorithms such as Support Vector Machines (SVM), K-Nearest Neighbour (KNN), NaïveBayes, Decision Trees (DT), Random Forest (RF) and ensemble models are found very popular among the researchers.
Detection of brain tumour using segmentation
Authors: V.Prakash V , Manjunathachari K
Published: May 2018

This paper presents the detection of the brain tumour by improvised image segmentation technique. The Magnetic Resonance Image is considered for the purpose of detecting the brain tumour. The human brain occupies 2% of the body’s weight. The Magnetic Resonance Image is preferred over the CT scan image for accuracy of the MRI based brain tumour detection is high. Though there are several techniques of segmentations, the water shed proves to be advantages in detecting the region of interest. The score plot of the vertical and horizontal plane exhibits high efficiency and feasibility of the technique presented.
Power quality based optimal nodal pricing in tradable electricity market
Authors: Umale Virendra , Warkad Sanjay
Published: May 2018

Optimal Power Flow method described the nodal transmission pricing into different related factors, such as congestion,generation, power and electric load limitations. These detailsof each bus transmission prices can be used for to improve the proper usage of transmission congestion and power grid and to get reasonable transmission pricing for power structure. The proposed methodology is demonstrated on IEEE57 bus system and Maharashtra utility electric 400/765kv network.
A novel approach to improve the efficiency of national rural employment scheme employees using WBASN
Authors: Rajasekar P. , Pushpalatha M.
Published: May 2018

Health monitoring of human being can be done using implant or wearable sensors. Making use of these sensors to form a network are aptly called as Wireless Body Area Sensor Networks (WBASN). Better performance and energy saving can be accomplished in a challenging way in this type of network. National Rural Employment Guarantee Act in India provides employment for people in rural areas. This involves more intense physical work in the open environment. People involved in this work tend to feel fatigue if they work for prolonged duration. We have conducted experiments in several scenarios to determine the stamina level of employed people and proposed ways to provide how man power can be efficiently improved by giving optimal break time and energy supplement drinks to improve the stamina level. Moreover energy of sensors may be efficiently improved by compressing the data before transmitting them to servers by suitable algorithm as discussed in our paper.
Implementation of modified Feistel block cipher for OTP generation using Verilog HDL
Authors: Noorbasha Fazal , Kishore K Hari , Naveen T. , Anusha A. Sai , Manisha Y. , Revathi K. , Manasa M.
Published: May 2018

In this paper we modified feistel block cipher to generate OTP (One Time Password) and implement it using Verilog HDL. To perform any online transaction using debit or credit cards, an OTP is sent to the client via SMS for his mobile number registered at the bank, then the client enters this OTP to complete the transaction. This OTP is generated at Bank server and sent to the client mobile operator. Once the OTP is generated it should be protected during the transmission from cyber attacks such as phishing, malware Trojans, etc. before it reaches the client to maintain confidentiality and integrity of information. This algorithm uniquely specifies the steps to encrypt the plain text into cryptographic cipher and to decrypt this cipher text back into original form. The proposed modified method is for improving the security.
Advanced vehicle security control and accident alert system
Authors: James Jesline , Suryakala S. Vasanthadev
Published: May 2018

Vehicles are becoming smarter by the combining of greater power to compute connectivity solutions and the improvement in software visions. In modern vehicles automotive designs are interfaced with these features. This particular design includes keyless entry system and immobilizer system as the main weapons to prevent the vehicle theft. But these type of systems provide or detect the unauthorized access of vehicles to a measurable limit only. These security frameworks have straightforward also, lacking nature. So car burglary has been a persevering issue far and wide and a greater test from the profficient criminals. This paper proposes an aim to design efficient security control for auto theft prevention system by adding notable enhancement features such as a fingerprint system, password and OTP generating system. It is also included with some rationalizing security features like GPS fencing, remote engine cut-off, and conveying location of vehicle as a message using GSM module. These features are implemented with the help of fingerprint recognition module, GPS Receiver, GSM cellular modem. Along with these feature accident detection module is also added.
Priority based clustering the service providers in federated cloud
Authors: Mayuri G S , Saravanan M
Published: May 2018

Cloud is a trending technology now a days. In this technology world now everyone are moving with the cloud. A cloud federation technique is one of the best ways to select any services from the service providers by the user at any time. As large number of service providers in the federation, user need to be select best service provider and the selection of service provider get delayed in the federation. We proposed the cluster based approach to select the best service provider for user request and reducing the selection time of service provider. In previous papers there is no Automated Selection for the selection of best service provider. Our proposed work is based on Automated Selection model i.e., we applied k-means algorithm for grouping the similar services and categorizing the service providers into three groups. Such as Cluster-1, Cluster -2 and Cluster -3, after cluster these cluster sorted in order based on the final centroid of each cluster. Now user request to be compared with the middle cluster centroid and directed to respective cluster for service selection. If more than one service provider offers similar services in the cluster then priority decision tree to be invoked for tie break. This technique works better than existing algorithms and time also to be saved in selection of service.