bluuebunny/crossref_metadata_2025 huggingface dataset:
A review of different techniques utilized for-casting crop yield
Authors: Bhardwaj Priya , Singh Mrityunjay
Published: May 2018

The farming structures the establishment of Indian economy. The harvest creation mainly depends on atmospheric conditions such as climate change, rain, soil etc., that impacts on yield improvement. The most of existing algorithms for crop yield prediction utilizes the existing data mining (DM) techniques for forecasting. This paper exhibits an overview on some of the existing techniques mostly used for crop yield prediction.
A probabilistic feature based SVM model for Hindi/English speech recognition
Authors: Bansal Priyanka , Akhtar Imam Syed
Published: May 2018

Real time speech recognition has various challenges including noise, turbulence, language and crosstalk problem. In this paper, multi-phase hybridization is applied to cover these challenges and to provide effective speech recognition. The model is explicitly divided into three main stages where each stage is implicitly divided into several sub-stages to provide specific problem solution. The proposed hybrid model resolved the problem of acoustic turbulence, background noise and instrumentation noise problem at the earlier stage. The rectified speech signals are processed using ICA and Fuzzy-HMM approach to generate the structural and statistical features. In this stage, the signal is divided in smaller linear blocks to extract the features. Later on, fuzzy-weighted SVM is implied to recognize the speech signal. The experimentation is applied on Hindi and English characters and sentence datasets. The comparative results are derived against BPNN and PCA models for different sample sets. The comparative results obtained from model signifies that the model has improved the recognition rate effectively.
Performance of speaker recognition system using shifted mfcc, delta spectral cepstral coefficient (DSCC) and Fuzzy techniques
Authors: Bansal Priyanka , Akhtar Imam Syed
Published: May 2018

Speech and speaker recognition systems are biometric inspired systems which are having scope in various online and offline applications. In case of biometric we ponder the variability of speech signal due to the presence of noise which greatly degrades the efficiency of Automatic Speaker Recognition (ASR) in real-world environmental circumstances. Real world speech signal is degraded by different types of noise signals like background noise, interference noise and crosstalk noise. In this paper, we have used Delta Spectrum Cepstrum Coefficient (DSCC) and Shifted MFCC with fuzzy modeling techniques to rectify the deed of ASR even in a noisy surrounding with the help of upgraded speech information which is present at high frequency in the spectral domain. The combination of fuzzy modeling and DSCC creates a firm cumulative algorithm which has reasonably high robustness to noise. Experimental results show that accuracy has enhanced by 10-20% even at 5-8dB SNR in the presence of background noise or turbulent environmental condition or in the presence of white noise.Thus proposed model has improved maturity level in comparison to obsolete methods.
Comparative analysis of machine learning algorithms on social media test
Authors: Ragupathy R , Phaneendra Maguluri Lakshmana
Published: May 2018

Sentiment analysis deals with identifying and classifying opinions or sentiments expressed in main text. It mainly refers to a text classification. Social media is generating a vast amount of sentiment rich data in the form of tweets, blog posts, comments, status updates, news etc. Sentiment analysis of this user generated data is very useful in knowing the opinion of the public. Knowledge base approach and Machine learning approach are the two strategies used for analyzing sentiments from the text. In this paper, Machine learning approach has been used for the sentiment analysis of movie review dataset and is analysed by Naïve Bayes, Decision tree, KNN, and SVM classifiers. Commencing the most efficient classification technique is the moto of the paper. Efficiency of the classifier is decided based on some regular parameters that are outputs of the classification techniques.
IoTbased smart and flexible lightning in streets
Authors: Anitha Raju , Nishitha M , Akhila K , Sai Anusha K , Srilekha G
Published: May 2018

The internet of Things (IOT) is always giving unprecedented answers for the customary issues looked by man.One of the real obstacles in city is we are spending huge expenses on street light.  To control the street lights based on detection of sunlight by implemented with smart embedded system. The paper is mainly utilized for smart and climate adaptive lighting in street lights. The street lights are automatically ON during the evening time and automatically OFF during day time.The street light can be accessed to turn ON or OFF at anyplace and anytime through web.In addition to that On top of the street light we are placing camera to track the activities performed on the street and where the recordings are stored in a server. Furthermore a panic button is placed on the pole, If there is any emergency situations like harassment, robbery there is a panic button is available at the reachable height any person can press it if he is in danger. If people are unable to press the panic button, they should use voice recognition which is connected to panic button, when it recognises some commands like help, it automatically press the panic button. Whenever the panic button is pressed, the footages at that time recorded by the camera is sent straightforwardly to the cloud account. The near specific police headquarters can have access of the account by which they can see the incident’s spot. Every region's street lights are associated with the specific area's police headquarters and cloud account can be accessible by each of them. Here GSMTechnology is eliminated completely.Safety and energy consumptions can be ensured by this idea.
Advanced water level meter for alerting about floods
Authors: Sandeep Naidu Ram , Likitha Chowdary Bodapati , Ravi Teja Jujjuri , S.R. Prasad M
Published: May 2018

This smaller scale show is performed on the premise of a programmable electronic printed circuit AT MEGA  2560, an electronic circuit associated with electrical protections that are situated at a particular stature, inside a water holder: when the water level ascents and achieves the resistors, differs the impedance, the data from water level  sensor is transmitted by means of Wi-Fi to a portable workstation, at that point this data is additionally observed in cell phones, where clients can see the water level in waterways. At last, the smaller scale demonstrates is tried by test tests under a controlled domain and attractive outcomes are acquired. The principle point of this task is to plan a framework which will screen and control the water level in the dams and furthermore suggest the concerned expert when the water level surpasses the farthest point.
Explicit analysis of heavy vehicle chassis structure for the effect of frequency response
Authors: Kumar.S Ramesh , Sankar.M Raja , V Harish , Kumar.K Arun , T Gokulakrishnan , M Madan
Published: May 2018

The current circumstance in industry is an entire looked for after of trucks on the cost and weight points and in addition too on upgraded total vehicle features and general work execution. The case accept a key part in the layout of any truck. Truck suspension outlines the helper spine of a business vehicle. The essential limit of the truck case is to enable the parts and payload to set upon it. Exactly when the truck comes the road, the body is subjected to vibration prompted by road offensiveness and excitation by vibrating parts mounted on it. The responses of the truck body which fuse the weight allocation and movement under various stacking condition are furthermore viewed. The mode shape occurs choose the sensible mounting zones of portions like engine and suspension system. A couple of changes are moreover proposed to decrease the vibration and to upgrade the nature of the truck frame. The skeleton design when all is said in done is a baffling methodology and to reach at an answer which yields a good execution is a horrid endeavor. Since the suspension has an unusual geometry and stacking outlines, there is no inside and out portrayed investigative technique to separate the case. So the numerical course of examination is grasped, in which Finite Element Technique is most by and large used course.
Analysis and prediction of student placement for improving the education standards
Authors: Anjali Devi S , Vishnu Priya M , Akhila P , Vasundhara N
Published: May 2018

Students’ academic success can be evaluated based on their performance in the exams conducted by the institutions. In this paper, we propose a scheme where prediction of student final placement can be done based on the marks scored by them in the previous semesters. In order to predict the placement of the student we need some data to analyze. For this purpose we will supply students basic details and their previous academic information into the system which will be used to predict the placement of the student. This is done by generating association rules using apriori algorithm. Admin and user will use this system. Here user will be the student. Admin and user will use their login to access the system. Admin will add academic details of the students, like their SSC, HSC, Graduation marks (up to current semester, Back logs etc.,). User will be the student. Admin and user will use their login to access the system. Admin will add academic details of the students, like their SSC, HSC, Graduation marks (up to current semester, Back logs etc.,).  This system can be used in schools, colleges and other educational institutions. This evaluation system is more accurate than other conventional methods. We are using a university data set to predict the placement of the student.
Measurement of thermometer using automated system
Authors: Pradeep Kumar S , Shanmugasundaram N , N. Ganesh E
Published: May 2018

Calibration of thermometers is time- consuming process that requires short-term temperature stability during multiple measurements at given temperature points. In most laboratories, thermometer calibration process is not automated, requiring the presence of the laboratory assistant during the calibration and for the subsequent calculation of the measurement uncertainty. In this paper, an automated system for calibration of thermometers is presented. The system enables the entire calibration process to be computer driven, after setting calibration parameters. The details are presented on an example of a furnace for temperatures up to 1 000 ° C. The review of the metrology software is given
Detection of breathing and heartrate using a simple vital radio system
Authors: Gauni Sabitha , T.Manimegalai C , Kalimuthu K , Anjanasree M
Published: May 2018

Proposed is a detection technique utilised for the physiological monitoring of heart rate and breathing rate. This new methodology is better than the other conventional systems that utilise either continuous waves or impulse radio systems for detecting remote vital signs that either suffers from non-stationary clutters or anomalies in accuracy. Vital Radio which operates on wireless technology can sense and monitor the breathing rate and the heart beat rate of the concerned person. This device is designed in such a manner that it can be installed in the walls so that it can capture and maintain a health record of a person dwelling in smart homes. It has the prime advantage of revealing high level of accuracy in the detection of the required vital signs.
A Comparative study of machine learning algorithms on thyroid disease prediction
Authors: Razia Shaik , SwathiPrathyusha P , Vamsi Krishna N , Sathya Sumana N
Published: May 2018

Thyroid illness is a medicinal state that influences the functionality of the thyroid organ that is thyroid gland [1](Guyton, 2011).The indications of thyroid ailment differ basing upon the type. There are four most common varieties: hypothyroidism (low capacity) which is caused due to the insufficiency of the thyroid hormones; hyperthyroidism (high capacity) which is caused due to the existence of the thyroid hormones more than just sufficient, basic variations from the norm, most normally an augmentation of the thyroid organ; and tumors which can be benign or can cause cancer. It is additionally conceivable to have irregular thyroid capacity tests with no clinical side effects [2](Bauer & al, 2013).In this study a comparative thyroid disease diagnosis were performed by using Machine learning techniques that is Support Vector Machine (SVM), Multiple Linear Regression, Naïve Bayes, Decision Trees. For this purpose, thyroid disease dataset gathered from the UCI machine learning database was used.
Reduction of cost in castings by the method of radiographic test
Authors: Soundharya T , V. Dhandapani N
Published: May 2018

Foundry in developing nations endures from low quality and low output due to the incidence of defects that may occupy single or multiple causes. Hence casting is a process of uncertainty. It is not an easy task, since casting is a complex process and has connections among various process and operations. Casting defects can negatively impact the bottom line of a foundry. Here an attempt is made cost cutback of castings in radiographic test. There are many defects which can be identified through radiographic test and these defects are reduced or remedied by means of welding. This study focuses about the cost reduction of castings by means of “Total quality management tools”.
Automated segmentation of knee thermal imaging and X-ray in evaluation of rheumatoid arthritis
Authors: Snekhalatha U , Rajalakshmi T , Gobikrishnan M
Published: May 2018

Rheumatoid arthritis (RA) is a long lasting autoimmune disorder that affects the multiple joints of human body. The aim and objective of the study was i) to implement the automated segmentation of knee x-ray image and thermal image using fuzzy c means  and canny edge detection algorithm. ii) To compare both the imaging modalities by means of feature extraction and correlate with the biochemical method as standard. Fifteen subjects with RA in knee region and 15 healthy controls were included in this study. The segmentation of thermal images was performed using fuzzy c-means algorithm and x-ray segmentation was implemented using canny edge detection algorithm. The skin surface temperature weremeasured in the thermal image of knee regionin both RA and control subjects. The features wereextracted from the segmented region of the knee x-ray image. The automated segmentation implemented in thermal imaging provided better results compared to x-ray image segmentation process. The thermal imaging feature and x-ray imaging features correlated significantly with the standard parameters.
Smart irrigation using WSN based on IOT
Authors: Krishna Anne VP , R V Siva Naga Durg Kuricheti , Krishna Muddineni Rama , Gowtham Peri Surya
Published: May 2018

To set right the usage of water for crops of agriculture an automated irrigation system has been implemented. A moisture soil sensor; and a temperature measure sensor which is called as network of the distributed wireless is used at base of the plant. Along with these, we implemented a gateway unit. which gathers information and regulate it and by activating the triggers actuators, it can send and receive the transmits data to and from the web application. I proposed the algorithm which having the temperature and soil moisture threshold values that embedded in a gate way based on micro controller. It implemented panels of the photovoltaic; and having a duplex communication link; and works with the interface i.e. cellular-Internet which offers that data inspection & irrigation timing. All this can be programmed by using a web page. Implemented automated Crop water saving system tested for 136 days in sage crop field. It can be saved 90% water compared to others. The main 3 advantages of this automated system make it place successfully in any place for 18 months. As it is energy self-rule, cost less, so it can be efficiently useful in limited water geographical lands.
Designand implementation of wearable single chip system for sensing, processing and transmitting human gesture and motion data
Authors: Snehith.H Venkata , Ratna D Likita , Shameem Syed
Published: May 2018

Our work aims at the design of wearable electronic modules that can be assembled as systems for sensing, processing, transmitting, actuating and mimicking human hand gestures and movements, to be used in various robotic, educational, military, medical, industrial, general and hobby applications, the secondary focus of our work is reducing the cost, complexity and assembly of such systems, which are already being used by research centers, laboratories and high-class industries all over the world while the primary objective is to bring these systems down to customizable modular components which could be assembled and combined the way the user wishes to and needs them to be, thereby bringing these concepts closer to a wider range of students, enthusiasts and hobbyists making it easy for them to understand and comprehend these concepts even at the beginner level. In our project, we used commonly available piezo-resistive materials and other household items to make force, pressure, stress, strain and bend sensors and appended them to an Inertial measurement unit, a microcontroller and a wireless transceiver all embedded onto a single chip, to create a simple sensing mechanism that could be worn on a human hand to sense, process and transmit the gestures for actuating and mimicking applications.
Microstrip line Antenna Fabrication Material
Authors: Singh Vimlesh , Bansal Priyanka , K.Singhal P
Published: May 2018

This paper presents an extensive survey of electromagnetic materials used for antenna fabrication, which find application in Civilian life as well as defense life. When a densely packed microwave integrated circuit is designed, it requires protection from higher power transient because of specific polarization and frequency response. To meet specification of such kind of microwave circuits it is desired to exploit properties of fabricating materials, which are not found in nature but can be prepared with specific proportion of chemical element combination. This study provides in-depth responses of materials toward electromagnetic wave's characteristics such as dielectric, flexible electronics, electrical and thermal properties, which have vast potential in communication engineering.
Business driven automation testing framework
Authors: Anand R. , Arulprakash M.
Published: May 2018

Due to versatile growth of software industry, we need to invent and adapt new technologies to reduce the production cost and to increase the quality. Now a days the industry is moving towards the 100% of automation testing and is being done by the different kind of users. The same test script will be executed by the domain expert instead of a technical expert, so we can’t expect him to understand the complexity of scripts and to relate the test script with business scenarios. To simply the users view of automation testing we need a layer to hide the technical implementation and to introduce some simplified way to understand the test script and relate with business scenarios, if needed he should  be able to modify the test scripts without having the technical knowledge. The gap between the customers’ expectations and the actual product behavior will be reduced using this proposed approach.
Brake failure detection and electronic auxiliary braking system
Authors: Deepa N. , Dasmunshi Sanchayita , Verma Shubhangi , Shukla Anurag , Nanda Sneha
Published: May 2018

Brakes are the integral part of a vehicle, which are used to reduce the speed of the car. Brake failure is one of the major problems, which lead to several accidents. Brake failure occurs due to brake lining fails, which leads to pressure loss. This mainly occurs in pneumatic brakes, which are used in most of the vehicles. The aim of our paper is to diagnose the faulty braking system and to enable the functioning of auxiliary braking or secondary brake system during brake failure. When the primary pneumatic brake fails the pressure sensor detects the brake failure and gives warning signal to the driver and also enables the auxiliary brake, which can be controlled by the driver manually through a manual control board. This braking system ensures the safety of the driver as well as the passengers without causing any damage to the vehicle.
Implementation of SIFT for detection of electronic waste
Authors: Roshna Meeran A , Nithya V
Published: May 2018

The paper focuses on the investigation of image processing of Electronic waste detection and identification in recycling process of all Electronic items. Some of actually collected images of E-wastes would be combined with other wastes. For object matching with scale in-variance the SIFT (Scale -Invariant- Feature Transform) is applied. This method detects the electronic waste found among other wastes and also estimates the amount of electronic waste detected the give set of wastes. The detection of electronics waste by this method is most efficient ways to detect automatically without any manual means.
A comprehensive survey of pre-authentication approach towards proxy re-encryption in cloud data context
Authors: Singh Amish , Shukla Saurabh , B Sowmiya
Published: May 2018

This survey paper categorizes, compares, andsummarizes the algorithms, data sets and performance measurement in the published articles related to proxy re-encryption and medical systems. Most of the systems either deploy a pre-authentication approach or a proxy re-encryption approach, they are seldom seen together. Most of the systems either take a patient -centric or a doctor-centric approach whereas the demand is for a common system that can be accessible to all access groups. Multi-data sharing is another concept that is necessary to be implemented in the newer systems and is lacking in many of them .The proposed system overcomes all these problems . It uses RSA for the pre authentication and AES algorithm to to perform pre authentication.
Security system of an electric motorcycle based on Gsm & Zigbee communication
Authors: Palchaudhuri Arkoalo , T Manimegalai C
Published: May 2018

The time has come that people need to think about saving fuel seriously because burning too much of fuel can cause a large number of environmental pollutions. The concept of making the battery operated electric vehicle comes as a rescue. In one hand it helps to save fuels and on the other it helps in lowering the level of air pollution; which helps in improving the health condition of the populace. Even though several automobile manufacturers have introduced Hybrid Vehicles (hybrid vehicles generally utilize a traditional combustion engine and a fuel tank, as well as one or more electric motors and a battery pack).This paper is going to propose an electric motorcycle security system based on ARM microcontroller, 8051 microcontroller, ZigBee and GSM communication which can be utilized both in Hybrid motorcycles and Electric motorcycles. When the proposed security features will be merged with those vehicles it will be an evolutionary concept in the world of next generation two-wheeler industry because besides lowering the level of air pollution and helping in controlling the use of fuel it mainly helps people to drive motorcycles safely.
Bandwidth enhanced CPW fed elliptical wideband antenna with slotted defected ground structure
Authors: T P Madhav B , Purna Kishore M
Published: May 2018

In this article, a simple curved elliptical coplanar wave guide fed antenna is proposed for wideband applications. An elliptical shaped model of multiband antenna is converted as notch band antenna with placement of slots in the radiating structure and by incorporating defected ground structure, bandwidth enhancement isattained in the proposed model. In short, the multiband antennais modelled in to wideband antenna with bandwidth of 17.8 GHz and impedance bandwidth of 67%.By placing defected ground structure adjacent to feed line on the ground plane, additional resonant frequencies are raised and enhancement in the bandwidth is obtained. The measured results are providing excellent correlation with simulation results obtained from HFSS and CST tools.
A Survey onadvances in security threats and its counter measures in cognitive radio networks
Authors: Ganesh D , Pavan Kumar T
Published: May 2018

Cognitive radio is a promising wireless communication technology that improves spectrum utilization and offers many benefits for internet users. Cognitive radio networks utilizes the available limited resources in a more efficient and flexible way. The main objective of the Cognitive network is to efficiently utilize the unutilized spectrum and meet the demand of the secondary users. some of the important features of cognitive of Cognitive radio networks are dynamic spectrum access, self organizing  and flexibility. As Cognitive radio networks are flexible in nature, it will be effected by various security attacks which in turn affects the performance of the network. Furthermore Cognitive radio networks transmit the spectrum in several licensed bands and it also performs dynamic spectrum allocation. Cognitive radio and Cognitive radio networks are wireless in nature these face conventional attacks. In this survey we address various  attacks in different layers , new threats and challenges that Cognitive networks face, current available solutions to address layer attacks. In addition applications, open problems and future Research challenges are also specified.
A survey on trade-off between storage and repair traffic in distributed storage systems
Authors: Sowmia D , Muruganantham B
Published: May 2018

Distributed storage systems give dependable access to information through excess spread over independently unreliable hubs. Application scenarios incorporate server farms, distributed capacity frameworks, and capacity in remote systems. This paper gives a study on the cloud storage model of networked online storage where data is stored in virtualized pools of storage which are generally hosted by third parties. Hosting companies operate large data centersand people who require their data to be encouraged buy or lease accumulating limit from them. The server cultivate overseers, outside of anyone's ability to see, virtualize the advantages according to the necessities of the customer and reveal them as limit pools, which the customers would themselves have the capacity to use to store records or data objects. . The data is stored across various locations, when the user wants to retrieve them, it could be done by any of the encryption methods. At last, in view of existing procedures, promising future research bearings are recommended.
Enhancing the production through SMED methodology
Authors: Kumaravel D , Sathya Bharathi R , Kavinandini M
Published: May 2018

Aim of this experiment is to improve the production rate in steering pump manufacturing industry using single minute exchange of die method. Hydraulic steering pump manufacturer oftenface the problem of periodically changing the machine configuration which led to frequent delays. It was observed that most machines need the fixtures to be redesigned. Thus, comes to play the concept of single minute exchangeof Dies. It refers to single-digit time limit wherein every aspect of a setup change is completed in less than ten minutes. SMED is a changeover technique which is implementing to increase the output and decrease the quality losses due to changeovers. By examine the changeover process along with a stronger sense of teamwork and ownership leads to significant reduction in setup and change over times. Purpose of SMED is to find the workactually done and proper utilization of time during the changeover activity. Through the analysis, a better understanding was gained on how to do certain activities, when the line is running and also to determine the task that needs to be done to reduce the fine-tuning activities after the actual changeover. The faster the changeover time, the lesser is downtime of the machine. This project was focused on reducing the setup time based on the ideas of SMED.
A VLSI implementation of train collision avoidance system using Verilog HDL
Authors: Noorbasha Fazal , Hari Kishore K , Phani Sarad P , Renuka A , Meera Mohiddin SK , Jagadeesh Babu K , V S. Phanindra B , Manasa M
Published: May 2018

Now a days we see many train accidents that occur in railways. These accidents occur mainly due to cracks in the track, human errors and not identifying the opposite train at the right time. When the train meets with the accident lot of people lose their lives and huge amount of railway property is destroyed and it also takes lot of time to hold back to the normal situations. Most of the accidents happen due to human error and due to lack of communication between the trains and irregularity of Train Traffic Control System. Normally to prevent these accidents we place sensors on either side of the platform to identify the train at right time and to receive traffic signals at the platform properly. Here we came with some different approach which is easy to manage and implement and cost effective. Normally collision occurs when two trains approaching in opposite directions on same track. So, if we manage to prevent two trains travel on the same track then collision can be avoided. Here in this project we have implemented Verilog code to solve this problem. The purpose of this project is to write a Verilog code to detect the opposite train and deviate the train based on priority of the trains thus avoiding collision. In this project we have chosen four different types of trains namely Goods, Passenger, Superfast, Express and we have implemented train collision avoidance using Verilog code by giving priority to each type of train and preference is given to one train to avoid collision.
FPGA implementation of RGB image encryption and decryption using DNA cryptography
Authors: Noorbasha Fazal , Suresh K
Published: May 2018

The rapid growth in digitization transmission of information in the form of RGB image. During the process transmission of the image in a channel, some data may be degraded due to noise. At receiver side error in data has to be detected and corrected. Hamming code is one of the popular techniques for error detection and correction. In this paper new algorithm proposed for encryption and decryption of RGB image with DNA cryptography and hamming code for secure transmission, and correction. this algorithm first encodes data to hamming code and encrypted to DNA code. Two-bit error detection and correction for each pixel of the image can be performed.DNA code improves security and use of the Hamming code for error detection and correction. For the image of size 256*256 pixel image, it corrects up to 2*256*256 bits in RGB image. The RGB image encryption and decryption design using Verilog and implemented using FPGA (Field Programmable Gate Array).
Linear convolution using UT Vedic multiplier
Authors: Hari Kishore K , Noorbasha Fazal , Sandeep Katta , N. V. Bhupesh D , Khadar Imran SK , Sowmya K
Published: May 2018

Linear Convolution is one of the elemental operations of Signal processing systems and is used by some Multiplication Algorithms. In our project we perform Linear Convolution using ancient Multiplication Algorithm called UrdhvaTriyagbhyam (UT) which is one among the 16 sutras in Vedic mathematics. This provides best results in speed when compared to other multipliers. UrdhvaTriyagbhyam technique is used to increase the timing performance of the design. Our aim is to design 8 bit convolution using UT. The synthesis and simulation is done by using XILINX ISE Design.
Design and comparative analysis of inexact speculative adder and multiplier
Authors: Hari Kishore K , K. V.Prasad B , Manoj Sai Teja Y , Akhila D , Nikhil Sai K , Sravan Kumar P
Published: May 2018

A Carry look ahead adder is a sort of the summer used in the logic design of the digital systems. The CLA boost up the speed by decreasing the measure of duration needed to calculate the carry bits. The CLA based outline of the inexact speculative adder is pipelined architecture to incorporate couple of logic paths along its basic way and in this manner, improving the recurrence of operation. This paper presents the comparative analysis of the pipelined inexact speculative adder and the general carry look ahead adder and showed that the delay is reduced to 48.27% when compared to carry look ahead adder and also we have designed the pipelined multiplier using the Inexact speculative adders and observed that the delay  is reduced to 48.32% when compared to the normal multiplier. This entail Xilinx ISE Design Suite 14.5 Tool.
Detection and monitoring of fire and gas leakage systems in industries
Authors: Geetha K , Prabha P , Preetha Devi C , Priyadharshini S , Tamilselvan S
Published: May 2018

Now a days, Industries are more equipped with automatic system. Fire monitoring is one of the applications where continuous monitoring of temperature and humidity is essential to detect the fire in the industry. Fire detection is very much necessary to protect both the industry and to conserve environment and livelihood of human. This paper presents an algorithm to detect the fire in the industry based on ZigBee and GPRS wireless sensor network which provides low cost, low maintenance and good quality service when compared with the traditional method. The hardware circuitry of proposed solution is based on microcontroller, temperature sensor along with ZigBee and GPRS modules.
Analysing the mechanical behavior of A6061/SiC/B4C/Flyash composite fabricated through stir casting
Authors: Subramani N , Krishnan R
Published: May 2018

Alloys of Aluminium are prominently used in automobiles, aerospace and ship building industries because of their high strength to weight ratio. The aim of this work is to manufacture the particulate reinforced metal matrix composite (PRMMC) materials by using Aluminium 6061 and reinforcing Boron Carbide, particles of silicon and fly ash. The study helps to fabricate an optimized composite material through the best methodology which is identified at the end of the experimental studies which is going to be carried out. This study helps the current researches carried on the nano-composite materials and PRMMC. In this paper, the Aluminium 6061 and its reinforcements are discussed and it gives a methodology to select the optimized method. The specimens fabricated by stir casting are analyzed and categorized according to their mechanical behavior by conducting mechanical tests. The Micro-structure of the specimen is examined by scanning electron microscopy (SEM) and spectrum analysis is done to the reinforcement distribution percentage.
DeDuSERP: De-duplication in search engine result page
Authors: Sharma Naresh , Dimri Priti
Published: May 2018

Web offers a new way of service provision by arranging different resources over the web. The most critical and prominent is web searches. The purpose of this research is to identify a subtype of De-Duplication. DeDuSERP is de-duplication in search engine result page. It restricts the showcasing of urls with duplicate or similar data and hence enhances the search result experience of any client. By duplicate results we mean different links containing the same content or information. To solve this problem, we have designed a filter between Search engine result page and indexed-ranked pages which we get from the search engine in response to the query of the searcher. This filter eliminates the duplicate links idiosyncratically and displays the unique results on the SERP for the searcher. We have performed the string to string comparison of web pages and if the content is 90% similar then we adjudge them as duplicates and then check their inventiveness of these duplicate links on the basis of timestamp. By this we mean then the web page crawled earlier is original. The process of comparison and timestamp matching is done using an open source apache API Commons IO 2.4.
Image enhancement with contrast coefficients using wavelet based image fusion
Authors: Pardhasaradhi P , T PMadhav B , Lakshmi Sindhuja G , Sai Sreeram K , Parvathi M , Lokesh B
Published: May 2018

The future is mainly focused on image brightness and the capacity that required storing the image. The sharp images provide better information than the blur images. To overcome from the blurriness in the image, we use image enhancement techniques. Image fusion used to overcome information loss in the image. This paper is provided with image enhancement and fusion by applying wavelet transform technique. Wavelet transform is mainly used because due to its inherent property that is they are redundant and shift invariant. It transforms the image into different scales. Image enhancement will be decided based on the levels of transformation. Low contrast results from poor resolution, lack of dynamic range, wrong settings of sensor lens during acquisition and poor quality of cameras and sensors. To avoid the information loss there is an interesting solution that is for the pictures of the same image but focused on different regions. Then using image fusion concept, all images which are captured are combined to get a single image which contains the properties of both the source images. The image entropy is composed to determine the quality of the image. The paper shows the image fusion method for both multi-resolution and images captured at different temperatures.
Semantic web: golden era of information
Authors: Agarwal Prakhar , Jain Shivani
Published: May 2018

Semantic Web is the extension of existing web that allows well defined expressions for the meaning of information which can be understood by computers and people both. In this paper we are doing study on semantic and is our review paper. Semantic web is a recommended development project by W3C (World Wide Web Consortium) which focuses on the enhancing of information search by keeping the facts in structured form using eXtensible Mark-up Language (XML) and marked in such a way that it can be understand by the system. To make the development of semantic web promising, new international standard is developed for exchanging of ontologies called OWL Web Ontology language. In XML we just provide tag of the model and store data in the hierarchy without its meaning, that’s why the computer cannot be able to process the data but in Semantic Web user can provide with a definition so that the computer can better recognize its meaning and provide with the better displaying of information. A crux of semantic web is that it works on the definition of the ontologies. Ontologies are responsible for re-usability and sharing of information. Semantic Web provides with a shared language which has stored data in the non-ending linking of distinct databases which provides data related to the real world objects. RDF is a common language for semantic web and is responsible for the collection of data on web and assembles different database from diverse sources and SPARQL is there for linking of databases for unifying documents. Thus, semantic web is the well-structured data web that relates all the data that present on the web and understands them to provide the exact display requested by the end user.
IOT based visualization of weightage based static task scheduling algorithm in datacenter
Authors: M Preethi , Jayavel Kayalvizhi
Published: May 2018

Cloud computing has raised majorly to provide everything as a service and also for scaling the resources and utilizing the resources in an effective way. This paper aims to propose a scheduling algorithm which allocates static tasks to the resources effectively without making any tasks starve for the resources for long time. In SJF algorithm, the shortest tasks will be executed initially, and the largest tasks will keep on starving for the resources to be allocated. The proposed algorithm handles such a situation effectively by adding the jobs under different weightage queues and then scheduling them in an SJF order. This gives priority to even largest job. In this paper a framework is proposed, which fetches data from Amazon SDB storage and the processing of data based on proposed algorithm occurs in a cloudsim and finally the results are visualized through an IOT mobile device. The comparison is also made for First Come First Serve (FCFS), which is a default scheduling algorithm and the proposed algorithm.
Feature extraction for enhanced malware detection using genetic algorithm
Authors: Srivastava Prerna , Raj Mohan
Published: May 2018

The use of internet has affected almost every field today. With the increase in use of internet, the number of malwares affecting the systems has also increased to a great deal. A number of techniques have been developed by the researchers in order to detect these malwares. The Malware Detection consists of two parts, the analysis part and the detection part. Malwares analysis can be categorized into Static analysis, Dynamic analysis and Hybrid Analysis. The Detection techniques can broadly be classified into Signature based techniques and Behaviour based techniques. A brief introduction of Malware Detection techniques is addressed here. The process of Feature Extraction plays a very important role in determining the efficiency and accuracy of the Malware Detection process. It aims at determining the subset of features that helps better differentiate between the malicious and benign files. We aim to provide a Feature Extraction process based on Genetic process that can be used for Malware Detection.
Design and analysis of a wide band rectangular slot loaded planer microstrip antenna
Authors: Gaurav Mishra Raj , Mishra Ranjan , Kuchhal Piyush
Published: May 2018

This paper presents design and analysis of a rectangular planar microstrip antenna for high bandwidth. The proposed antenna is rectangular in shape with a rectangular slot on the center of patch. The antenna is designed and fabricated with FR4 epoxy substrate. The simulated and experimental results are giving a wide bandwidth of in excess of 4.5 GHz. The measured result also validate the simulate design. A simple analysis is also carried out and impedance is calculated.
Review on foreground artificial intelligence in games
Authors: Ganguly Rajjeshwar , Rithvik Reddy Dubba , Venkataraman Revathi , S Sharanya
Published: May 2018

Artificial Intelligence (AI) is applied in almost every field existing in today's world and video games prove to be an excellent ground due to its responsive and intelligent behaviour. The games can be put to use model human- level AI, machine learning and scripting behaviour. This work deals with AI used in games to create more complicated and human like behaviour in the non player characters. Unlike most commercial games, games involving AI don’t use the AI in the background rather it is used in the foreground to enhance player experience. An analysis of use of the AI in a number of existing games is made to identify patterns for AI in games which include decision trees, scripted behaviour and learning agents.
Speech intelligibility improvement based on adaptive exponential smoothing factor
Authors: Janardhanarao S , Krishna chaitanya J , A David B
Published: May 2018

This paper aims to increase the intelligibility of the speech content in the noisy speech signal. The approach presented in this paper tries to improve the intelligibility by adaptively re distributing the speech energy with exponential smoothing factor. Experiments were conducted on the different types of noises in noisy signal and found that there is a significant increase in intelligibility while preserving the quality of it.
Identification of diseases in plant parts using image processing
Authors: S. Saranya S , Chandra Kiran Nalluri , Jyotheeswar Reddy Komma
Published: May 2018

Day by day production levels in agriculture has been increasing, similarly diseases in plants also growing vigorously. Detecting damaged parts in leaves succor to develop a software which will help the farmer to get more amount of turn outs, it can blotch the diseases precisely. Therefore, it helps farmers for modern methodology at farming and also helps in good yields. Due to excrescences in trees and plants, it’s hard to find them. So,collect carbon copy and process them with several algorithms which gives the best outcome. This assistance helps in geoponics growth. The main purpose of the project is to help for better development in healthy farming outgrowth.
Survey on short-term load forecasting using hybrid neural network techniques
Authors: Dalela Shaive , Verma Aditya , L.Amutha A
Published: May 2018

Load forecasting is an issue of great importance for the reliable operation of the electric power system grids. Various forecasting methodologies have been proposed in the international research bibliography, following different models and mathematical approaches. In the current work, several latest methodologies based on artificial neural networks along with other techniques have be discussed, in order to obtain short-term load forecasting. In this paper, approaches taken by different researchers considering different parameters in means of predicting the lease error has been shown.  The paper investigates the application of artificial neural networks (ANN) with fuzzy logic (FL), Genetic Algorithm(GA), Particle Swarm Optimization(PSO) and Support Vector Machines(SVM) as forecasting tools for predicting the load demand in short term category. The extracted outcomes indicate the effectiveness of the proposed method, reducing the relative error between real and theoretical data
Comparative study of image enhancement techniques using histogram equalization on degraded images
Authors: Arora Shalika , Agarwal Megha , Kumar Veepin , Gupta Divya
Published: May 2018

Image Enhancement technique plays a vital role in digital image processing for making an image to be useful for various applications. This technique is used to improve the quality of degraded images.Usually, the degradation is not evenly spread throughout the image, but most of the time it varies from region to region. Our aim is to first identify the region where enhancement is required and improve that region without disturbing its neighbourhood which does not require any improvement.
Proposed approach to detect distributed denial of service attacks in software defined network using machine learning algorithms
Authors: Banerjee Shruti , Sarathi Chakraborty Partha , . .
Published: May 2018

SDN (Software Defined Network) is rapidly gaining importance of ‘programmable network’ infrastructure. The SDN architecture separates the Data plane (forwarding devices) and Control plane (controller of the SDN). This makes it easy to deploy new versions to the infrastructure and provides straightforward network virtualization. Distributed Denial-of-Service attack is a major cyber security threat to the SDN. It is equally vulnerable to both data plane and control plane. In this paper, machine learning algorithms such as Naïve Bayesian, KNN, K Means, K-Medoids, Linear Regression, use to classify the incoming traffic as usual or unusual. Above mentioned algorithms are measured using the two metrics: accuracy and detection rate. The best fit algorithm is applied to implement the signature IDS which forms the module 1 of the proposed IDS. Second Module uses open connections to state the exact node which is an attacker and to block that particular IP address by placing it in Access Control List (ACL), thus increasing the processing speed of SDN as a whole.