bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Blockchain in the Internet-of-Things (Iot)
Authors: S A Bragadeesh , Umamakeswari A
Published: May 2018

The proliferation of Internet of Things (IoT) has brought about a myriad of applications to life which range from smart homes, smart energy, smart buildings, smart cities to almost smart everything. This has been made possible by fully exploiting the services of cloud infrastructure, communication technologies, improved sensing devices and advancements in embedded devices which helps in incorporating intelligence even on tiniest of chips. Blockchain is a decentralised distributed approach that can facilitate management, control and also provide security. The application of blockchain is not restricted to cryptocurrency and security. It is perceived that Blockchain in Convergence with Artificial Intelligence, Cognitive Computing and Mobile Edge Computing can provide numerous prospects for framing solutions for IoT. Any application or system which deploys a IoT network can make use of Blockchain to achieve simplicity, transparency, security and cost efficiency. This paper tries to identify some key areas in which Blockchain can be used to exploit the IoT infrastructure and overcome the challenges faced. Few possible application domains in which blockchain can revolutionize the outcomes have been highlighted. A real-time case study in which Blockchain has been used to provide valuable benefits is discussed.
Posture Correction for Juvenile Idiopathic Scoliosis Using Flexible Fabric Stretch Sensors
Authors: A Brightline , Nair Malavika , B Priyanka , M Prathisha , Suresh Chandra Kapali B
Published: May 2018

Our device is being designed to help the juvenile from age 3 to 10 suffering from idiopathic scoliosis, a vertebral deformity that is usually congenital or neuromuscular in nature. The disorder that causes an abnormal lateral curvature of the vertebral column is known as scoliosis. This device will alert the patient by the stimulus given to them whenever the curvature of the bend of spinal cord has reached the threshold value of spinal curve angle on comparing with predetermined value. The sensor used in this device is flexible and thereby can be fixed to the fabrics so that the patients can wear them regularly. By using this device continuously, we can train the patients to maintain good posture for their entire life.
An Effective Substitution Technique for Data Hiding in Compressed Video Streams
Authors: Vimala C , Aruna Priya P
Published: May 2018

Data hiding approach is enforced to the encrypted videos for the intent of content notation and tamper detection. Such as, data hiding favored in encrypted domain without decryption extract of the classified content. The  substitution techniques is used to data hiding in the compressed video. A video file size is closely maintained even after data encryption and embeds. In this work the data has been restored without any loss with better bit rates, Peak Signal Noise Ratio and testify the feasibility and efficiency of the prospective scheme.
Comparative Analysis of High Speed Carry Skip Adders
Authors: Naga Babu Ch , Naga Siva Sai P , Priyanka Ch , Hari Kishore K , Bindu Bhargavi M , Karthik K
Published: May 2018

In this paper we compared a high speed carry skip adders by considering parameters such as area, LUT’S, delay, power. When compared to conventional CSKA and other adders. Here in this project in first stage CSKA designed by using multiplexer as skip logic so by using this speed gets increased by skipping of carry. so here area gets increased so to reduce area another hybrid variable latency carry skip adder(Brent-kung adder) is designed .here power utilization also gets decreased, speed gets increased, but some delay is produced here to overcome that we followed  a another method called Kogge-Stone adder here so it reduces the critical path delay. In Kogge-stone adder power is highly consumed due to more no of wiring connections so another adder was designed to reduce power consumption which is Sklansky adder which reduces power Consumption. This is done in Xilinx ISE 14.7 and power was analyzed using Xilinx power analyzer.
3D Flow Prediction for high rise structures
Authors: Leela D , S Babu , A K Dasarathy , Kumar S
Published: May 2018

Structures more than 40 m are usually termed as high rise structures. It is difficult to predict the flow of wind around structures without the use of computational fluid dynamics software or wind tunnel. These high rise structures are subjected to stronger winds that can cause them to sway. So the predictions of aerodynamic loads acting on tall buildings are very important. This study aims to identify the characteristics of wind flow such high rise structures  by predicting flow variables such as pressure, velocity and impacting stress etc using Ansys Fluent 18.1. The main purpose of this project is to find out : pressure around the building and velocity of wind around the building.
Comparative Studies on Inhibitor Efficiency in Mild Steel and Iron
Authors: Rajkumar D , Prasannan D
Published: May 2018

Metals generally corrode mild steel is an alloy form of from which undergoes corrosion easily in acidic medium. The corrosion   products are formed when a metal give its electrons to the oxidizing substances, the organic compounds containing sulphur, nitrogen and oxygen are known to be effectiveness depends on the electron density at the functional groups. We need to reduce the corrosion of steel by adding inhibitor. Tensile strength of steel varies depends on the corrosion. Thus, the aim of this project is to determine the inhibitor efficiency of thiourea, urea, and hydroquinone for the corrosion of normal steel and iron in common HCL medium consists of different concentration of inhibitor.
Self Compacting Concrete – an Analysis of Properties using Fly Ash
Authors: A K Dasarathy , Tamil Selvi M , Leela D , Kumar S
Published: May 2018

Self  compacting concrete has ability involves not only high deformability of paste or mortar, but also resistance to segregation between coarse aggregate and  mortar  when the concrete flows  through the confined zone of reinforcing bars. Several researchers have employed the different methods to achieve self- compactability. In recent years, self-compacting concrete (SCC) has gained wide use for placement in congested reinforced  concrete structures with difficult casting conditions. For such applications, the fresh concrete must possess high fluidity and good cohesiveness. The initial results of an experimental program aimed at producing and evaluating SCC made with high volumes of fly ash are presented and discussed. Nine SCC mixtures and one control concrete were investigated in this study. The content of the cementitious materials was maintained constant (400 kg/m3), while the water / cementitious material ratios ranged from 0.35 to 0.45. The self-compacting mixtures had a cement replacement of 40,50 and 60% by Class F fly ash. Tests were carried out on all  mechanical properties of hardened concretes such as compressive strength were also determined. The self-compacting concretes developed a 28- day compressive strengths ranging from 26 to 48 MPa. The results show that an economical self-compacting concrete could be successfully developed by incorporating high-volumes of Class F fly ash. The present project investigates the making of self-compacting concrete more affordable for the construction market by replacing high volumes of Portland cement by fly ash. The study focuses on comparison of fresh properties of SCC containing varying amounts of fly ash with that containing commercially available admixture. Test result substantiate the feasibility to develop low cost SCC using Class F fly ash.
Neural Network Based Monitoring, Protection & Fault Detection of Induction Motor Using PLC
Authors: Somwanshi Devendra , Kumar Arvind
Published: May 2018

Induction motors used mostly in industrial, commercial applications & are seldom denominated power horse of industry. To reduce the motor starting current soft starter requirement is increasing day by day & to maintain the torque proportionally with the load requirement. Now intelligent soft starters evolved to improve the motor starting. This work is comprised of development of an Artificial Neural Network control regime for closed loop of induction motor. The same has been achieved using a standard 0.75 KW three phase induction motor using Matlab, PLC, SCADA & DRIVE. The Artificial Neural Network scheme is compared with traditional Proportional control regime. We have observed that the performance of ANN Induction Motor control Algorithm has been 14-21 % better than only Proportional Motor Control algorithm.
Distributed Energy Conserving Scheme for Residential WSN based on Behaviour of Utilization (BoU)
Authors: Dhakshayeni PA , Meenakshi S
Published: May 2018

Wireless Sensor Networks (WSNs) is a composition of tiny self-operated devices that communicate with other devices in an ad-hoc fashion. WSNs find its application in real-time appliances due to its cost effectiveness and ease of deployment nature. Energy preserving in these networks while extending its support for real-time appliances is vital so as to preserve the operating hours of the system. To perform an energy efficient operation of WSN devices integrated with real-time appliances, a mutually cooperative and monitoring model is preferred. Depending on the Behavior of Utilization (BoU), energy allocated for each appliance can be shared in a distributed manner with the other appliances to cope-up with the energy constraints and improve prolonged operation. With forehand information about the operating device and its nature towards energy requirement, the energy allocation can be decided over a multi-state operative function to make a decision. The decision making follows Markov-Chain Model (MM) to make decisions between the operation states of an appliance. The outcome of the decision model will result in admitted operation time and energy conservation of an appliance.
Feature Extraction Techniques for Leukocyte Classification - A Review
Authors: Baby Diana , Juliet Devaraj Sujitha
Published: May 2018

This paper covers an investigation on the various feature extraction techniques employed for the statistical estimation of leukocyte classification from blood sample images since the identification or analysis of these four classes of leukocytes plays a vital role in the early identification of various diseases. The manual estimation of these WBC’s by pathologist is error prone and time consuming. This paper mainly concentrates on the study of leukocyte classification methodology and various feature extraction techniques for the classification of four classes of Leukocytes such as Neutrophil, Lymphocyte, Monocyte, and Eosinophil which can be fed to SVM or neural network for further classification.
Orientation Feature Transform Model for Image Retrieval in Sketch Based Image Retrieval System
Authors: Prasad K Durga , K Manjunathachari , Prasad M.N Giri
Published: May 2018

This paper focus on Image retrieval using Sketch based image retrieval system. The low complexity model for image representation has given the sketch based image retrieval (SBIR) a optimal selection for next generation application in low resource environment. The SBIR approach uses the geometrical region representation to describe the feature and utilize for recognition. In the SBIR model, the features represented define the image. Towards the improvement of SBIR recognition performance, in this paper a new invariant modeling using “orientation feature transformed modeling” is proposed. The approach gives the enhancement of invariant property and retrieval performance improvement in transformed domain. The experimental results illustrate the significance of invariant orientation feature representation in SBIR over the conventional models.
Control of Antenna Azimuth Position using Fractional order Lead Compensator
Authors: Govinda Kumar E , Prakash R , Rishivanth S , A. Anburaja S , Gopi Krishna A
Published: May 2018

This paper addresses the position control of antenna azimuth using proportional and integral (PI) controller and lead compensators. The fractional order calculus plays an important role for designing the robust control. The fractional order lead compensator is proposed for enhancing the closed loop performance of azimuth position control of antenna system. From the comparison of the closed loop responses, the proposed lead compensator delivers a superior closed loop performance when compared with PI controller and lead compensator.
The Quadruple Tank Process with an Interaction : A Mathematical Model
Authors: Govinda Kumar E , Shiva ram B , B.Deepak U , Sabarinathan G
Published: May 2018

This paper dealt that, the quadruple tanks process with an interaction, which is consisting of four interconnected tanks and included with an interaction of bottom two tanks. The mathematical model of quadruple tankwith interaction is developed throughminimum phase and non-minimum phase by changing a valve position. It described clearly about the mathematical modeling of quadruple-tanks process with an interaction, which is obtained based on minimum and non-minimum characteristics. The obtained process transfer function models are validated using MATLAB simulation. The obtained transfer function models are used to further control and analysis of the same problem.
Grid Integrated Solar Energy Conversion System Using Super-Lift Converter
Authors: P Elangovan , . Kamatchi , . Nandhini , Devi Kamaatchi , . Kokila
Published: May 2018

Grid integrated photovoltaic (PV) system is capable of maximizing solar energy conversion by minimizing power losses. Conventionally, the grid integrated PV system uses boost or buck-boost DC-DC converters in the DC link for lifting up the PV output. Also, a separate complex circuit is used for active power compensation in the grid end. This paper proposes an advanced DC-DC converter by name Super-Lift Converter (SLC) in the DC link of grid integrated PV system. Unlike the conventional DC-DC converters, the proposed converter lifts up the DC link voltage thrice that of the input voltage. In addition, the proposed SLC is regulated using a PI controlled active front end (AFE) topology, which results in operation of unity power factor at grid end. The suggested system is simulated using MATLAB software. The presented results such as grid end voltage and current, input and output power of SLC and DC link voltage validates the effectiveness of the developed system.
Dynamic Data Compression and Security Based Algorithm for Big Sensing Data
Authors: Muneeswari G , Mahalakshmi M , Lokeshwari S , Yashini R
Published: May 2018

In this paper, we propose a data compression algorithm named data will be divided into chunks and similarity based compression for the efficient processing of sensing data on the cloud. In current technology, the big challenge lies in the efficient access to storage and evaluating sensing data as it is vital to consider the accuracy of the data. In the traditional compression algorithm, data is considered as a single unit but in our novel approach compression is applied over a partitioned data chunks. Once the sensing data is compressed, in order to regain the original data, we perform some kind of prediction method and restoration algorithm. MapReduce algorithm is incorporated in our approach for providing scalability over the network and similarity checking to verify the correctness of file. The results obtained shows that the technique predominantly increases the efficiency of the data compression with a very less percentage of data loss.
Automated Women Distress Detection and Indicating System
Authors: Muneeswari G , Banupriya R , Meena V , R. Vaishtnave K
Published: May 2018

As in modern world with increasing harassments towards younger women, there is a requirement for an automatic smart system to get rid of the dangerous situation. There are lot of crimes against women cases closed due to non-availability of evidences or the perpetrator escapes from crime. In order to avoid and prevent such pathetic situations, a new idea is proposed in this paper. In this proposed system along with the alert and panic information, victims can also initiate a voice call. We propose a system that could be easily started by the action of human. On initiation, voice call alert and a distress message with a longitude and latitude location will be sent to the pre-stored cell number and also updated on the server. The person is tracked along with which we implement sudden shocking mechanism to protect against any possible harassment.
Monitoring and Controlling the Infected Cereal Crops Based on Image Processing with Proposed Architecture
Authors: Panneer Selvam G , Yamuna Rani K
Published: May 2018

Agriculture is the backbone of our country. Agriculture is the science of cultivating the soil, harvesting crops, and raising livestock which is considered as one of the economic activities in Asian countries.  In India, sector of agriculture is destroying now-a-days .The main goal of this project is to increase the productivity and profit. There are several automated systems available in literature, which are developed for irrigation control and environmental monitoring in the field. However, it is essential to monitor the plant growth stage by stage and take decisions accordingly. In addition to monitoring the environmental parameters such as pH, moisture content and temperature, it is inevitable to identify the onset of plant diseases too. To prevent the losses occur in agriculture production. Plant disease identification by continuous visual monitoring is very difficult task to farmers and at the same time, it is less accurate and can be done in limited areas. Hence, this project aims to develop an image processing algorithm to detect the diseases in the rice plant. Rice blast disease occurs in rice plant due to magnaporthe grisea and this disease also occurs in wheat, rye, barley, and millet. Due to rice blast disease, around 60 million people were affected in 85 countries worldwide. Image processing technique is adopted as it is more accurate. Early disease detection can increase the crop production by inducing proper pesticide usage. Hardware prototype of the proposed system will be developed using the Arduino Processor.
Design of Feasible Energy Generation Using Solar Panel and Control Using an IoT
Authors: Prabha G , Mohana sundaram K
Published: May 2018

The Internet of Things Technology enhances the control of load from solar power generation. Solar power generation is one of the fast growing and most advantageous renewable energy sources of power generation worldwide. These days there is an increase in demand of electrical energy in our daily life. Solar energy has the greatest potential in the long term and is predicted to play a major role in forthcoming years. The implementation of two modes of power supply has been done, one is the normal power supply mode and the other mode is by solar power generation in which the load can be controlled using IoT in pc or mobile phone. This will facilitate in energy conservation.
DA Based Systematic Approach Using Speculative Addition for High Speed DSP Applications
Authors: Reddy Hemantha G , Varadarajan S , N. Giriprasad M
Published: May 2018

In recent years Parallel-prefix topologies has been emerged to offer a high-speed solution for many DSP applications. Here in this paper carrier approximation is introduced to incorporate speculation in Han Carlson prefix method.  And overall latency is considerably reduced using single Brent-Kung addition as a pre and post processing unit. In order to improve the reliability error detection network is combined with the approximated adder and it is assert the error correction unit whenever speculation fails during carries propagation from LSB segment to MSB unit. The proposed speculative adder based on Han-Carlson parallel-prefix topology attains better latency reduction than variable latency Kogge-Stone topology. Finally, multiplier-accumulation unit (MAC) is designed using serial shift-based accumulation where the proposed speculative adder is used for partial product addition iteratively. The performance merits and latency reduction of proposed adder unit is proved through FPGA hardware synthesis. Obtained results show that proposed MAC unit outperforms both previously proposed speculative architectures and all other high-speed multiplication methods.
Control of Third Order Processes Using Optimized Synthesis PI Controller
Authors: Suganya G , Govinda Kumar E
Published: May 2018

In closed loop system with PI controller, the most and severe problem is peak overshoot minimization in the closed loop response and tuning the proportional plus integral (PI) controller parameters. This paper deals with the two different tuning methods for obtain the PI controller settings. These methods are used to tune the parameters of PI controller and the closed loop performances of two methods are analyzed for the control of third order processes. From the closed loop responses, the time responses are move to unstable characteristics and the process variables are oscillates due to PI parameters are tuned using Ziegler-Nichols method and direct synthesis method respectively. The control loop performance of the control of third order process is improved with optimized parameters of PI controller. In direct synthesis method, the variable parameter of PI controller is obtained with Genetic algorithm. The controller parameter of PI controller is obtained from optimized variable parameters and results are reveals that the performance of closed loop is enhanced with the elimination of peak overshoot and minimization of oscillation levels in the process variables. Simulation results are confirmation that the proposed design method is better to the Ziegler-Nichols method and direct synthesis method. Furthermore, the proposed method was applied to the control of two different categories of third order processes.
WearTrack – Tracking Valuables using Near Field Communication Stickers
Authors: Muneeswari G , Frank Vijay J
Published: May 2018

In modern era, people will not be satisfied with technology until it not only reminds us of our day to day work but also does it for us without draining much of our energy. Any person will acknowledge the fact that we need smarter technology that reminds us what things are to be taken wherever we go or whenever we leave a place. It makes life so much easier if we are told to do things rather than thinking up things to be done on our own.People irrespective of their age, have always been in situations where they have lost their valuable things or have the fear of losing them.So in this paper an attempt is made how a user gets alarmed whenever they leave a place forgetting to take their valuables. The user has a sensorand othersensorsare connected to things which they want to forget to take as they leave a place. All the sensing devices consist of Bluetooth to recognize the user's sensor or to be recognized by it. An alarm is connected in the circuit which switches on whenever they leave the place without the required things. The evaluation results show that the sensors will give 98%accuracy towards the complete Bluetooth connection.
A single stage ZVS Power factor correction converter
Authors: Ravivarman G , Poorani S
Published: May 2018

The aspects with respect to control strategies power factor correction (PFC) converter are examined. Research effort in focus to minimized switching stress for improving better efficiency in power rating is 500W/48V, is achieved by using soft switching. In this suggested converter and switching scheme ZVS voltage stress is shaped. Added to this power loss is minimized. A 500W/48V prototype is proposed to serve the concept proof, which exhibits 92.69% peak efficiency at low input line voltage.
Scheduling and Control of Parts in FMS industry
Authors: Yedukondalu G , Thakare Mayur. , Anvesh V , Hokesh Reddy R , Cheetri Akin
Published: May 2018

This paper introduces scheduling of parts in Flexible Manufacturing System (FMS) environment by means of discrete-event simulation method. Modeling of FMS layout with 3 distinct part type, route and interval for each part is developed using Arena simulation. The ranking criterion is considered only for First-in-first-out (FIFO). Automatic Guided Vehicles (AGV) is used as a Material Handling System (MTH). In this paper a case study has been presented for effective utilization of machines and AGV in given FMS. Based on processing time for variety of parts according to their route priority the jobs are scheduled. The scheduling of the considered layout are evaluated and compared to 6 output measures which are avg. work in process (WIP), avg. queue time, avg. number of parts waiting, resource seized, machine instantaneous utilization and scheduled utilization for different replication length. The simulation outcomes are discussed in detail and conclusion has been drawn for various mentioned output measures.
Smart Security System for Health Centers
Authors: V Gayathri , Kanna Suprajha , A Umamakeswari
Published: May 2018

In the modern world, Radio Frequency identification system plays a major role that automatically identifies and tracks tag attached to an object. RFID technology has  been extensively used in many areas including agriculture, manufacturing, healthcare, transportation, etc. RFID  system can be used in hospitals to increase the safety of patients by providing an RFID tag to the persons who visit them including doctors, nurses, and relatives. This method can be used along with a door lock but in the case of emergency, it becomes risky. Also, the same method can be used for secured access to pharmaceutical supplies which avoid illegal access to the medicines.  Sensor network which is the core of IoT technology can be integrated with the RFID system to make it more efficient to be deployed in several application services. In this paper, a solution is proposed that can integrate the RFID system with the IoT technology by using IR sensors which help to get rid of illegal entry or access in hospitals.
Wireless Multipurpose Robot
Authors: Agarwal Ishita , Priyalakshmi B , Mundhra Yosha , Pathak Misha
Published: May 2018

There are a number of situations in which it isn't always viable for a human operator to do an activity on their own, due to a level of threat or involved. The threat can be anything like a fire may begin in some factory or in some faraway locality. For example, in the cotton generators, gasoline storehouses, and so on, leakages in the electric field may lead to massive harm, inflicting heavy losses financially and additionally destroying regions round it. Instead of compromising human lives, it is advisable to hire robot structures for performing difficult duties. Robotic systems are far advanced in ensuring the accuracy of the device beneath unfavorable instances where a human may lose his/her life. Our objective is, making  a fire extinguishing robot with embedded gadget along with a  wireless Bomb Disposal robot. The bomb technician controls the robot using a software at control web page. Robot is manufactured for discovering the fire, earlier than something goes out of manage, and sooner or later operate with fireplace-combatants decreasing the risk for humans.
A 79GHz Adaptive Gain Low Noise Amplifier for Radar Receivers
Authors: Manjula J , Ruhan Bevi A
Published: May 2018

This paper presents an Adaptive Gain 79GHz Low Noise Amplifier (LNA) suitable for Radars applications. The circuit schematic is a two stage LNA consists of Differential cascode configuration followed by a simple common source amplifier with an Adaptive Biasing (ADB) circuit. Adaptive biasing is a three- stage common source amplifier to decrease output voltage as input power increases. The circuit is simulated in 180nm CMOS technology and the simulation results have proved that the circuit operates at the center frequency 79GHz with adaptive biasing for adaptive gain. The gain analysis shows a decrease of 35-30dB with an increase in input power -50 to 0 dB. At 79GHz the circuit has achieved the input reflection coefficient (S11) of -24.7dB, reverse isolation (S12) of -3 dB, forward transmission coefficient (S21) of -2.97dB and output reflection coefficient (S22) of -5.62 dB with the reduced noise figure of 0.9 dB and a power consumption of 236 mW.
Mine Detecting Robot with Multi Sensors Controlled Using HC-12 Module
Authors: Kirubakaran.S.J Jebasingh , Kumar jha Anish , Kumar Dheeraj , Poornachandran Prakash Sadambi
Published: May 2018

Application of robot for person safekeeping is an important aspect in the explore province. From medical to military use several functions are residential to fructify person life. A mine detecting robot is a wide military progression and a lifesaving design that can benefit humankind. The robot is guided by HC-12 module that allows it to scan the testing area within 1.8km and metal detector is used as mine detecting sensor placed in front of the vehicle, while GPS is used to provide the exact location of the infected area. This paper put forward to design of a mine detecting sensor using HC-12 and GPS while applying it in a robotic sample. The embedded proposed system is based on Arduino technologies and guided by an HC -12 Module.
Privacy Protection and Perfect Classification Nature of C4.5 Algorithm
Authors: Chokkanathan K , Koteeswaran S
Published: May 2018

C4.5 algorithm is developed by Ross Quinlan which is the extension of ID3 algorithm used for generating a decision trees.Since the tree generated by C4.5 can be used for classification, so it’s also referred to as statistical classifier.Even though the Random Decision Tree is used to avoid the information leakage there are some problems and issues related to privacy maintenance.When we try to instantiate more instances for one class it leads to ambiguity at the same time creating new classes more and more will increase the complexity in RDT. These problems can be resolved by using our C4.5 algorithm.We can have any number of nodes in a network, each node can create its own tree or class and each class can initiate many number of instances for a disseminated classification consuming secure amount or threshold homomorphic encryption. The main objective of this paper is to discuss the ideal nature of the C4.5 algorithm and how they support this algorithm to be utilized in various datamining process.
A Computational Approach of Highly Secure Hash Algorithm for Color Image Steganography Using Edge Detection and Honey Encryption Algorithm
Authors: Dhanasekaran K , Anandan P , Manju A
Published: May 2018

Securing and transmitting data through images without being hacked is important in stegnography. Identification of the hidden data without the knowledge of appropriate algorithm is beyond bounds. In this paper we propose a highly secure algorithm for hiding data using advanced encryption algorithm, wherein the hidden data could be identified by canny edge detection and appropriate hash algorithm method. Color images are converted into grayscale images and edges are retrieved and honey encryption algorithm is used for encoding and decoding process. Simulated results in Matlab exhibits high security of the proposed method over other methods on comparison.
Multi-Keyword Ranked Search in Cloud Storage using Homomorphic Indexing
Authors: Renugha K , Shanthi P , Umamakeswari A
Published: May 2018

In the cloud environment, the main issue is outsourcing of the information to the cloud service provider and outsider. Consider this, the cloud tenant store data in an encrypted form to achieve data security and privacy. The data owner needs the secure information sharing from the cloud and without leak of access pattern to the eavesdroppers. XOR homomorphic encryption searchable algorithm along with ranking is proposed to provide the security over the network. In addition our scheme provides secure Multi-keyword ranked search over encrypted data. Efficient ranked search algorithm returns the relevant document based on the results for the given multiple keywords. The experimental results prove that the system is efficient.
Combined Economic and Emission Load Dispatch Problem Solving by ITLBO Algorithm
Authors: Thenmalar K , Deepa K , Subhashree A
Published: May 2018

Recent trends in economic and emission dispatch problem which turn has to promote the rise in the number of power generating stations and their capacity of generation. The Sulphur Dioxide (S02), Nitrogen Oxides (N2O) and Carbon Dioxide (CO2) are yields the CEED problem and they are created from generation of electricity from fossil fuel. Combined economic and emission load dispatch problem is a procedure to determine the generation of  electrical power isdevoted generating units in a power system so that the both total generation costand total emission of the system is minimized, while fulfilling the load demand in directly. Improved teaching learning based optimization algorithm is used to solve combined economic emission load dispatch problem with constraints in generation of power system. This method was verified by thirteen generating bus and use with different load demand and compared with other existing techniques display the advantage of the proposed algorithm. The simulation has been done in MATLAB/Simulink with required formulation and the result is gotten in graph and numerical.
Mobility Platform for Physically Challenged People using Wireless Sensor Network
Authors: Vidya K , Aarthy A
Published: May 2018

The Primary objective of Automatic Railway Bridge System is to help the physically Challenged Passenger to move from one Platform to another. Crossing the railway track inside the railway station is very difficult. But it is quite difficult to the handicapped and aged persons to cross the railway track without the help of other. The proposed system uses the train time for opening and closing of bridges. This is done by wireless communication. Each train is connected with RF transceiver, which will send a data of arrival before it reaches the station platform. If the train leaves the platform, the automatically the mobile platform will be bridged between two platforms to build a path between them. This project is designed with arduino microcontroller. The arduino microcontroller gives the input  from the  RSSI and give command to the motor to run in order to change in the position of open and close the mobility rostrum
Multilevel Security System Using Raspberry Pi3
Authors: M Karthikeyan , KA Gowrishankar. , Sekar. G Rajith , Elamaran E , Sudhakar B
Published: May 2018

In this modern world security has become a major concern in securing a particular area such as banks, institution, temple premises etc.  The existing system can be easily broken either by hacking the password or by duplicating entry cards.  There are some security system which are very difficult to break but they are neither cost efficient nor easily affordable.  We proposed a strong secure and affordable system using RFID, PIN lock and face recognition using raspberry pi3.
Optimum Distribution of Power by Intelligent Fuzzy Sets Analyzer and Controller
Authors: M Karthikeyan , Muthu Vijaya Pandian S , . .
Published: May 2018

Meeting increasing demand for the electrical power without changing the existing infrastructure is a challenging issue. The transmission and the distribution are always struggling with losses in our ac power system networks. In this research an intelligent fuzzy logic approach is to be used for power system operation and control in distribution management. The VAR compensating devices like OLTC, SVC are to be controlled by the fuzzy expert system for modifying reactive power. The fuzzy membership functions, fuzzy rules are to be displayed. A co-ordination control between these VAR compensating devices using fuzzy logic control is to be discussed. An optimum location and the proper design of a capacitor banks for reducing the harmonic injection in the power system is to be suggested. The validity of this approach is to be given by the comparison graphs. All the simulations are to be carried out by MATLAB software. This research will investigate the effects of arising problems in an ac power system distribution without changing the existing infra structure. The various types of problems arising in a power system are to be listed. Among these the voltage stability in the buses has got the top priority. The solutions for reducing the power congestion created by these arising problems can be carried out.
Mitigation of Unbalanced Voltage Sags and Swells of Power System in Utility Side by using Sen Transformer
Authors: Rao Burthi Loveswara , S.Prema Kumar P
Published: May 2018

Majority of the industrial electrical loads requires balanced three phase supply but in reality there is unbalanced supply due to single phase loads like railway tracks etc.increasing use of non linear loads in modern power distribution network there are some power quality issues like voltage sags and voltage swells, this distortion of the power supply effect the loads which are connected to power distribution network. In order to improve quality of the power, in this paper a Sen Transformer (ST) technique as been proposed to minimize unbalanced voltage sags and swells. The proposed technique mitigates both voltage sag and swell during balanced and unbalanced operating conditions. The proposed ST consists of a programmable tap controller to compensate ride through faults in power system network. The proposed work as been implemented using MATLAB/SIMULINK software. To validate the proposed work, simulation results are presented.
Reduction of Data Transmission Time Delay with Object Detection in Underwater Acoustic Sensor Network
Authors: Pragathi M , Kumar R
Published: May 2018

Underwater acoustic sensor networks plays vital role in many applications such as monitoring underwater environment, location and object detection etc., In environment monitoring, the sensor nodes monitors the unwanted obstacles and transmits the information about the obstacles to Base Station(BS). The major problem is when sending data from two or more number of sensor nodes at same time the time delay in data transmission will be increased. In this project, to overcome the problem of end to end delay, mobile data collector is employed with waterproof ultrasonic sensor nodes in underwater acoustic Sensor network.
A Study of Flexural and Bending Strength of Steel, Polypropylene and Hybrid Fibre Reinforced Concrete without Adding Admixture
Authors: Tamil Selvi M , A K Dasarathy , S. Thandavamoorthy T , . FIE , Arb FIIT , PonkumarIlango S
Published: May 2018

The present study has been taken up for evaluating the different types of concrete. Emphasis has been given to the strength and deformation properties of reinforced concrete beams.  This  paper  presents  the  results  of  an  experimental investigation carried out on four different types reinforced concrete beams, 150 mm  × 150  mm  × 700 mm in size. The beams were tested under one-third point loading. The results exhibited that the flexural strength of concrete are meaningfully improved by adding  steel, polypropylene and hybrid fibers.  Out of the three different types of fibers used in this study, the fibers with steel and hybrid showed better efficiency in improving the flexural response.
Adaptive Fuzzy Controller Design for Solar And Wind Based Hybrid System
Authors: Rathaiah M , Ram Kishore Kumar Reddy P , Sujatha P
Published: May 2018

Renewable Energy Resources plays an active role in standing against   global warming and reduce the use of conventional energy sources. Hybrid systems formed by combining the renewable energy sources are efficient relatively. The intent of this paper is to furnish endurable power for frontier and far-off places with hybrid-system of architecture. The intended system embodying DFIG and solar PV based wind turbine. In solar systems, control mechanism is essential for improving the performance. This paper proposes a method of incremental conductance approach based MPPT Adaptive Fuzzy Logic Controller for grid connected PV system which is composed of a boost converter and a three phase inverter. Adaptive Fuzzy Logic Controller provides fast response and better %THD compared to Fuzzy and PI controllers. In solar system, MPPT will magnify solar output power value. The DFIG has two controllers Grid-Side Control (GSC) and Rotor-Side Control (RSC). The rated rotor speed and DC-link voltage are regulated by RSC and GSC through PI, Fuzzy Logic Controller and AFLC strategies. By using simulation studies performed by three control strategies, %THD analysis is carried out.
Spotting of over Speeding Vehicles and Controlling the Speed in Highways using MEMS Sensor
Authors: Sathesh M.E M , Shanmugapriyan J
Published: May 2018

This Paper describes about the spotting of an over speed of a vehicle in highway and controlling the speed of a vehicle whenever there is an uneven Condition Occurred. And alert the speed offence to control room and toll gate, the devices like Controller, RFID reader, MEMS sensor, GSM&LCD are used. The System are controlled by a microcontroller, The Micro-Controller plays an important role to do a desired task. The controller obtains the MEMS sensor, which is used to sense speed of the vehicle, Vehicle has RFID tag when speed violation take place where RFID reader reads the tag and identify the vehicle and send the information through GSM module. We design a project in such a manner that it gives an alert signal to the driver if he does not react to that, than two condition occurred first speed is been controlled and other speed offence fine is send control room and toll gate whenever vehicle crossing its maximum speed limit.
Enhancing the Quality of Underwater Images using Fusion of sequential Filters and Dehazing
Authors: Suganthy M , Lakshmi S , Palanivel S
Published: May 2018

Effectively analyzing underwater images and identifying any object under the water has become a difficult task. Generally, the factors affecting underwater images are uneven lighting, low contrast,  blunt colors, and characteristics of an object based on absorption and scattering of light. The proposed technique involves applying white balancing and contrast enhancement to the original image. The combination of filters namely homomorphic filtering, wavelet denoising, bilateral filter , adaptive filters are used and  applied sequentially on the degraded underwater images. The results obtained showed that the proposed algorithm works well in refining the underwater image attributes. Peak Signal to Noise Ratio (PSNR) and Mean Squared Error (MSE) are used to evaluate performance of the algorithm.
Leukaemia Detection in Microscopic Imagery using Optimization Algorithm
Authors: Venkata Dasu M , Subbaiah P
Published: May 2018

In this paper, automated approach of blood cancer detection is proposed. Usually microscopic images examined by experts manually are time consuming and less accuracy. The automated blood cancer detection system analyses the microscopic image and overcomes these drawbacks. The proposed system extracts the features of the image and applies filtering techniques. In this paper proposed method is cuckoo search optimization algorithm which is used in line with segmentation. The features of segmented image can be obtained from Scale invariant feature transform. Some of the features like PSNR, sensitivity, accuracy, etc. are calculated for leukemia detection. The performance is compared with the existing method ACO. The proposed system is tested on image dataset and 94.24% accuracy is achieved. The proposed system is successfully implemented in MATLAB.
A New Empirical Evaluation of Existing Methods for Estimating BDD Sizes
Authors: Raja Madasamy , Vidhya Lakshmi K , Raseen Mohamed
Published: May 2018

Binary Decision Diagrams (BDDs) are very useful structures to represent Boolean function in VLSI synthesis. Time taken to build a BDD and obtaining its size plays a major role in the time of complexity of VLSI synthesis. This time complexity increases drastically as the number of input variables increases. Various models to estimate the size of the BDD, without actually building it already exists. These models claim to support both simplified and un-simplified Boolean functions. The models were developed under the justification that time to estimate will be far less compared to the time taken to actually build the BDD. There are two drawbacks with the existing model. First drawback is that, the current model just follows a random curve fit without any substantial mathematical support. Second drawback is the existing model is based on experimental results which used only less than ten variables.  Since current practical functions may use hundreds of variables, there is no guarantee that the model is accurate enough. Given the two drawbacks, it becomes necessary to test the existing model for more complex circuits with hundreds of variables. In this paper the existing models were tested with standard benchmark circuits. Results were compared with actual BDD sizes of the benchmarks and the estimated sizes from the parameters of the benchmarks. Comparison of the results proved that existing models give poor results for the circuits with more than ten variables and existing models become inapplicable to most of the current practical functions that uses more than hundreds of variables.
A Survey of Algorithms Used for the Prevention of Fake Profiles in Social Networks
Authors: Dandwani Manish , Vaibhav Vishal , Nagadevi S
Published: May 2018

A great many dynamic clients all around the globe are utilizing on the web informal community, for example, Facebook, Twitter, Tumbler and LinkedIn. These shortcomings make it easy to abuse client's data and do personality cloning assault to frame counterfeit profile. In this proposed framework, information concealing systems to shroud some data in profile pictures with a specific end goal to identify botnets and counterfeit profiles. This venture introduces an order and examination of discovery instruments of clone attacks on online interpersonal organization, in light of trait similitude, companion arrange closeness, and profile investigation for a period interim and record of Internet Protocol groupings. In this task we have proposed discrete wavelet change calculation for information covering up. In this manner this would keep the clone assaults and giving complete client information protection saving. Likewise when clients transfer the profile pictures they can be watermarked and refreshed. For the watermarking method Java static watermark can be used. Any phony clients refreshing a similar profile picture can be distinguished and their separate IP would be followed and blocked. Likewise for secure picture transmission, we utilized Discrete Wavelet Transform (DWT) for information concealing/steganography and Discrete Cosine Transform (DCT) for picture pressure.