bluuebunny/crossref_metadata_2025 huggingface dataset:
Fillers preparation for polymer composite and its properties – a review
Authors: Vinod Kumar T , Chandrasekaran M , Mohanraj P , Balasubramanian Ravishankar , Muraliraja R , S. Shaisundaram V
Published: April 2019

This paper is a review about the manufacture of polymer matrix composite by the filler materials, property and its preparation. Day by day the role of composite materials in industrial and household applications is increased. By using the variety of matrix, reinforcement and filler materials the polymer composite obtains from it. To improve the mechanical properties of the polymer composite, important role is played by filler materials. There is a unique property for each type of filler materials, which is altered by changing the percentage of filler materials. Filler materials important purpose is to reduce the cost of material and it increase the mechanical properties, that also use to increase surface finish and thermal property. In this paper, the elaboration of polymer materials and its uses are discussed, which held later the synthesis of polymer composite by different fillers. The filler properties, manufacture methods, polymer composite properties are discussed.
A novel approach to ensemble learning in distributed data mining
Authors: Chandra Jena Prakash , Kumar Pani Subhendu , Mishra Debahuti
Published: April 2019

Several data mining techniques have been proposed to take out hidden information from databases. Data mining and knowledge extraction becomes challenging when data is massive, distributed and heterogeneous. Classification is an extensively applied task in data mining for prediction. Huge numbers of machine learning techniques have been developed for the purpose. Ensemble learning merges multiple base classifiers to improve the performance of individual classification algorithms. In particular, ensemble learning plays a significant role in distributed data mining. So, study of ensemble learning is crucial in order to apply it in real-world data mining problems. We propose a technique to construct ensemble of classifiers and study its performance using popular learning techniques on a range of publicly available datasets from biomedical domain.
Encoding time optimization for intra-frame reconstruction schemes for H.264
Authors: Kumar N. S Pradeep , N. Suresh H
Published: April 2019

The area of transmission compression is gaining a quick momentum by evolving with completely different varieties of compression protocols and coding method. However, majority of the prevailing communication devices still uses H.264 as a customary compression protocol. we tend to reviewed a number of the prevailing system touching on usage of H.264 in video compression to explore it doesn’t supply process effectiveness though it's going to supply higher reconstructed knowledge on the receiver finish. This paper introduces A distinctive optimisation mechanism to optimize the coding time by introducing a value perform formulation. The bestowed design runs over typical H.264 and supply worth additional advantage by creating it additional resource friendly. The rule made uses MPEG file as AN input that endure the method of optimisation of coding time used for coding I and P frame. The study outcome of the projected system is found to supply a much better reduction in coding time as compared to existing mechanism of Lagrangian price perform. As a contribution, our outcome shows a much better equilibrium between the info quality of reconstructed signal and therefore the coding time.
A study on damage to mechanical seat cushion made from different materials of extension frame
Authors: Won Kim Jae , Ung Cho Jae , Ki Cho Chan , Oh Kim Jin
Published: April 2019

Background/Objectives: : Automotive seat is a very important component to prevent accidents by reducing passenger’s tiredness, thus, this study worked on analyzing damage with different materials of extension frames of mechanical seat cushions.Methods/Statistical analysis: In this study, we performed an experiment on cushion extension frames by splitting it into two parts. We studied about the damage prediction of slave body for each material property of ABS, PP, PLA, and PA6.6. For analyzing the condition, we assigned the side part of the master body for fixed support, and we progressed on analysis by applying with 690N on the entire part of the slave body.Findings: This research worked on the study of damage to different materials of extension frames of seat cushions. After confirming the stress equivalence of the entire model for each material, PP showed the highest equivalent stress of 180.88MPa, and ABS showed the lowest equivalent stress of 151.73MPa. Overall, we could see that in the order of ABS, PA6.6, PLA, PP have a higher tendency to be broken. In addition, when confirming equivalent stress of master body depending on materials of slave body, PA6.6 showed the highest equivalent stress of 166.3MPa, and ABS showed the lowest equivalent stress of 124.06MPa. Overall, we could see that in the order of ABS, PP, PLA and PP6.6 have a higher tendency to be broken. In comparing shear stress on the gear part, which has the highest tendency to be broken in among the entire model, depending on the material of the slave body, PLA showed the greatest shear stress of 88.945MPa, and ABS showed the lowest shear stress of 69.766MPa.Improvements/Applications: This study worked for the improvements and applications of cushion extension frames as the securement of material by investigating these factors.
Design and implementation of lightweight vehicle license plate recognition module utilizing open CV and Tesseract OCR library
Authors: Gyu Jung Yong , Wan Kim Hee
Published: April 2019

Background/Objectives: In order to recognize the license plates automatically, we design and implement a vehicle license plate recognition module that extracts characters of license plate area using open source OpenCV and Terreract OCR library.Methods/Statistical analysis: The static image was binarized using OpenCV 's banalization function. After binarizing the image by adjusting the pixel values between adjacent pixels, the candidate region judged a license plate was derived. The final candidate was derived according to the proposed algorithm in the candidate region. The extracted plate area was analyzed by using the Tesseract OCR library, and characters were extracted as a character string.Findings: The vehicle license plate recognition module relates to character recognition in the field of computer vision. In this paper, we designed and implemented a module that recognizes a license plate by using open source, applying a proposed algorithm to a moving object as a static image. The proposed module is a relatively lightweight software module and can be used in other applications. It is possible to install the camera at the entrance of the apartment and can read the license plate to identify whether it is a resident or not. When speeding and traffic violations occur on the highway, the vehicle numbers can be automatically stored and managed in the database. In addition, there is an advantage that it can be applied to various character recognition applications through modification of a slight algorithm in the module.Improvements/Applications: In addition to character recognition, the OpenCV library can be applied to various fields such as pattern recognition, object tracking, and motion recognition. Therefore, we will be able to create technologies corresponding to various services that are becoming automated and unmanned.
An economic ESS design method based on wind system capacity factor for island power grid
Authors: Yoon Minhan , Jung Seungmin
Published: April 2019

Background/Objectives: Energy storage device is being considered in many fields but many system owners do not actively apply this compensation device because of the uncertainty of its criteria.Methods/Statistical analysis: In this paper, an energy capacity calculation method based on the specific capacity factor of a wind farm is introduced. The calculation method has focused on the generated surplus power, which is the difference between the generated and consumed electric power quantities.Findings: The capacity calculating method when integrating wind system has not yet been formulated steadily even though its remarkable supplementation, and previous algorithms are not considered as clear solution for various wind characteristics. In order to calculate the capacity in advance, capacity factor based pre-estimating method has been considered. Including surplus power conditions, the case studies are based on independent power-system for handling realistic environmental option and network information of an island power grid.Improvements/Applications: The surplus power was compensated during simulated conditions. In the real power-system, a minimum load could be existed for short section, and the operation would be performed more appropriately.
Image contrast enhancement techniques-a survey
Authors: S. Padmavathy V , R. Priya Dr
Published: April 2019

Image Enhancement plays an essential role in a wide area of vision applications. Image enhancement is a technique used to enhance the qual-ity of the image such that it can be easily viewed by both men and machine.Contrast makes a visual difference that makes an object distin-guishable from background and other objects. The major goal of image contrast enhancement is to increase the visual quality of the image. In this research study, various image contrast enhancement techniques are reviewed. This research work also focuses on the comparative study of contrast enhancement techniques for identifying an effective contrast enhancement technique.
Vibration and damping characteristics of sisal and glass fiber reinforced polyester composite
Authors: AthishKumar G , Chandrasekaran M , Vinod Kumar T , Vivek P
Published: April 2019

This study aims to evaluate the result of experimental investigation carried out on free vibration characteristics and damping factors of short sisal & glass fiber polyester composite. Composites specimen is fabricated in random fiber orientation using to hand lay-up method by Influence of fiber length (10mm) and weight percentage (5, 10, 15, 20 wt. %) . Studies revealed that increase in the fiber content will in-crease the natural frequency (Hz) and decrease the damping factor is given by the composites having a fiber loading of 20 wt. percentage ranges. The properties were compared with neat polyester. In this work, increasing fiber content increases the natural frequency (Hz) and decrease the damping factors of the composite.
Keyless signature infrastructure solution for cloud attacks
Authors: Chandran Remya , A. Sasi Kumar Dr
Published: April 2019

Keyless Signature Infrastructure (KSI) is a procedure that is used to distribute and verify the signature; only hash function cryptography is being used in this method. KSI uses block chain technology for the signing and verification of the signature. The paper will discuss the solution of different cloud attacks using Keyless Signature Infrastructure.
Efficient smart garbage management system using IOT technique
Authors: K. Vijaya Sri Dr , Vamsi Krishna R , J. K. Surya M , Venkatesh Babu D
Published: April 2019

The Proposed Smart Waste Management System is to manage the waste with the help of smart sensors along with data fill-level indication, the garbage existence all over dustbin, containers and garbage bins foul smelling conditions will be sent as an alert to the registered / specified workers as an message. An accredited mobile number that are working in Waste Management Centres gathers fill-level. The remaining of multiple containers information transmitted where it placed all over the marginal location. Gathered data from the above process, utilised for gathering the garbage in a systematic plan and a route-map. Used communication devices in the implemented project transmitted the data from garbage bin to the authorised persons. An eight bit microcontroller i.e Atmega328P regulated the total functionality of this system. This narration demonstrates an effective design of IoT gateway which is utilised for offering the “smart waste management system” framework.
PET SFCM image segmentation for alzheimer’s disease
Authors: A. Meenakabilan Dr , K Agathiyan
Published: April 2019

Medical images are known to capture the human body in both anatomical and functional view. These images are interpreted with expert domain for clinical analysis. Here, the selection of image sample plays a fundamental role. However, doctors need to manually obtain this process. But, in order to get similarity between the samples automation is definitely required as it reduces the computation time. So, the automation process should be knowledge based to get better results. This paper highlights the knowledge based automation of medical image sample analysis. It presents a significant assessment of PET – SFCM approach for the segmentation of functional medical images which is considered as the value of neighboring pixels in spatial correlation. Here, the proposed method is used to apply the decision support strategy to identify the effective samples from the huge data collection. The proposed algorithm is implemented in Matlab 7.0. The obtained results were analyzed and compared with other two clustering approaches known as K-Means and Fuzzy C-Means. The resultant images encourage the identification and an evaluation of treatment response in a set of oncological constraints.
An efficient voice based information retrieval using bag of words based indexing
Authors: Uma R , Latha B
Published: April 2019

Data mining is one of the leading and drastically growing researches nowadays. One of the main areas in data mining is Information Retrieval (IR). Information retrieval is a broad job and it is finding information without any structured nature. Infor-mation retrieval retrieves the user required information from a large collection of data. The existing approaches yet to improve the accuracy in terms of relevant accuracy. In this paper, it is motivated to provide an Information Retrieval System (IRS) where it can retrieve information with high relevancy. The proposed IRS is specially designed for physically challenged people like blind people where the input and the output taken/given is voice. The functionality of proposed IRS consists of three stages such as: (i) Voice to Text input, (II). Pattern Matching, and (III). Text to Voice output.In order to improve the accuracy and relevancy the proposed IRS uses an indexing method called Bag of Words (BOW). BOW is like an index-table which can be referred to store, compare and retrieve the information speedily and accurately. Index-table utilization in IRS improves the accuracy with minimized computational complexity. The proposed IRS is simulated in DOTNET software and the results are compared with the existing system results in order to evaluate the performance.
Rectenna design for electromagnetic energy harvesting and wireless power transfer
Authors: K. Singh V , K. Singh N , Kumar Rahul , Yadav Arun , Soo Chae Gyoo , Sharma Ashis , Kumar Bhoi Akash
Published: April 2019

Under this article,an antenna with rectifier circuit is intended and simulated to energize the wireless feeler systems at resonant fre-quency 5.3838 GHz. The antenna substrate is prepared with textile material. The dielectric constant of material is 1.7.The rectenna circuit has been simulated on the Jeans substance and examined for power level -5dBm. The presented antenna has a gain of 4.861 dBi. The anticipated antenna is designed with CST software. The value of L and C are calculated from MATLAB programming.
Integrated proposition on tracking environment
Authors: Karunya S , K. Kalaiselvi Dr
Published: April 2019

In current scenario, security level for an individual lies on a question mark.To overcome all situations based on safety. To provide a proper link to access things near us following header are used, they are GPS, GSM and GPRS. These systems help to track people on an individu-al basis which prevents the risk of kidnapping and other crimes happen to the people who depend on integrated proposition. This proposi-tion monitors the day to day happening of the user and provides the results to receiver of the person which consists of parents, guardian, local police station and others who access the integrated tracking, while they check the panic button.
A review on the integration of cloud computing and internet of things
Authors: Angelin Jebamalar J , A. Sasi Kumar Dr
Published: April 2019

Internet of Things (IoT) is a technology of interest, becoming so invasive which generate huge amount of data and hence it is significant to integrate with Cloud computing, a delivery model provisioned with virtual resources and storage capacity. This IoT and Cloud computing integration referred as 'Cloud of Things' bears key issues and the one is Security which hampers growth of it. This paper highlights those key issues and smart applications of Cloud of Things.
IPV4 and IPV6 based hybrid approach for spam and virus detection
Authors: Hira Swati , Ajani Samir , Kokardikar Pratibha , Neware Shubhangi
Published: April 2019

The proposed email setup consist of multiple mail servers distributed at two levels to achieve desirable email access performance. It is a well-established fact that 99% of the emails received over internet are either spam or contained viruses and such emails can be dropped at the first entry point of the Network. Thus, the first level in the proposed architecture has been taken as an email gateway which is equipped with antivirus and anti-spam software. Spam assassion is an open source freeware software for filtering of the spam emails. Perl based spamassassion id to CPU and Memory hungry for heavily loaded server thus this new arrangement would then overcome the Problem of slow Email access for users by detaching spamassassion from email repository servers. The second level of the servers with email repositories for users all the email servers used in this implementation would be Linux X86 servers. Virtualization technique presents a software interface to virtual machines that is similar but not identical to that of the underlying hardware. First level is implemented in Virtual machine. So as to provide scalability, portability, migration and vendor independent.
Barriers and Challenges af Information Technology in Labour Intensive Business Organization
Authors: Faizal Muhammad , Lucky Nara Maskarto , Nurdiyanto Heri
Published: April 2019

Information technology in the era of globalization and business competition plays a vital role in the sustainability of business organizations. Human resources owned by management must be managed well in order to have the competencies required by the company and as a power to produce quality products. In this study, the main problem is how the application of information technology to business organizations in Indonesia and what are the obstacles and challenges in its form. From these problems, the purpose of this study is to determine the application of information technology to business organizations as well as barriers and challenges it faces. From the results of research conducted on 20 business organizations that exist in Bandung regency, obtained data as follows: 2 companies have applied information technology, 4 companies are already utilizing information technology, and 14 companies still rely on the power of human resources. The main obstacle that he faced was related to the quality of his human resources (competence) and financial. While the challenge is related to the global economic situation, there will be a reduction of employees, as well as marketing of production.
A comparative analysis of the gasification performances of torrefied and untorrefied bagasse: Influence of feed size, gasifier design and operating variables on gasification efficiency
Authors: Anukam Anthony , Okoh Omobola , Mamphweli Sampson , Berghel Jonas
Published: April 2019

This study conducted a comparative assessment of the gasification performances of torrefied and untorrefied bagasse with emphasis on feed size, gasifier design and operating conditions that would influence gasification efficiency. Torrefaction greatly improved the characteristics of bagasse and had significant impact on its gasification performance. The gasifier design parameters studied were throat angle and throat diameter. Temperature of input air and feed input were the gasifier operating conditions examined in the course of the gasification processes of both torrefied and untorrefied bagasse. These parameters were considered the most critical operating parameters that affect gasifier performance and, correlation between the parameters was established in the course of gasification. The results obtained showed higher gasification efficiency for torrefied bagasse in comparison to untorrefied bagasse under varied conditions of gasification, which was attributed mainly to changes in the characteristics of the torrefied material.
Analysis of nonlinear oscillator arising in the microelectromechanical system by using the parameter expansion and equivalent linearization methods
Authors: Hieu D. V. , Thoa N. T. K. , Duy L. Q.
Published: April 2019

In this paper, the nonlinear oscillator arising in the microbeam-based micro-electromechanical system (MEMS) is described. The motion equation of a microbeam is simplified into an ordinary differential equation by using the Galerkin method. The nonlinear ordinary differential equation is solved by using two methods including the Parameter-Expansion and Equivalent Linearization Methods. To verify the accuracy of the present methods, illustrative examples are provided and compared with other analytical, exact and numerical solutions.
Process safety management in manufacturing industries a review
Authors: Silaipillayarputhur Karthik
Published: April 2019

The most common feature among the best known companies in the world is safety. In fact, process safety and manufacturing productivity go hand in hand. In the last century, a number of catastrophic accidents have drawn the attention of regulators towards process safety. In several developed, industrialized countries, strict regulations and standards are applied to emphasize process safety. In fact, in such countries, these are the required minimum for maintaining business license and permits. However, in developing and in under developed nations, the issue of process safety and their importance is still being debated. Process safety cannot just be driven by a set of rules, regulations, policies, etc. Multitudes of items are required in establishing and maintaining a safe and a reliable work environment. Such items, though can be expressed readily in paper, are quite arduous to establish in a highly competitive environment. The legislation, the government regulations, banking policies, management commitment, cumulatively share the responsibility in establishing organizations judiciously managing process safety. This paper reviews certain critical aspects in establishing a successful process safety management (PSM) program. Furthermore, the paper reviews the various elements that contribute towards the creation of a worthwhile PSM program.
Range smart cluster monitor based guesstimate approach for resource scheduling in small size clusters
Authors: Gokuldev S , R Jathin
Published: April 2019

Performing scheduling of tasks with low energy consumption with high performance is one of the major concerns in distributed computing. Most of the existing systems have achieved improved energy efficiency but compromised with QoS metrics such as makespan and resource utilization. A resource scheduling strategy for wireless clusters is proposed by making careful considerations on decisions that would im-prove the battery life of nodes. The proposed strategy also incorporates monitoring system with in the clusters for optimizing the system performance as well as energy consumption. The system ensures “Any case zero loss" performance wherein each cluster will be monitored by at least one cluster monitor. This is implemented by using predictive calculation at each cluster monitor to communicate only if absolutely essential, during assigning jobs to resources, selecting optimal resources by assigning the jobs to the most power efficient resource among the available idle resources within the cluster. The experimental result ensures improved system performance with low power consumption in homogeneous computing environment. The resource sharing strategy is experimentally analyzed, considering the important performance metrics such as starvation deadline, turnaround time, miss hit count through simulations. Significant results were observed with improved efficiency.
A sequential development towards a unified approach to protein sequence comparison based on classified groups of amino acids
Authors: Ghosh Soumen , Pal Jayanta , Maji Bansibadan , Bhattacharya Dilip Kumar
Published: April 2019

The methods of comparison of protein sequences based on different classified groups of amino acids add a significant contribution to the literature of protein sequence comparison. But the methods vary with choice of different classified groups. Therefore, the purpose of the paper is to develop a unified approach towards the analysis of protein sequence comparison based on classification of amino acids in different groups of different cardinality. The paper considers 4 group classification, 5 group classification and 6 group classifications of amino acids, and in each case it applies the unified method for comparing two types of protein sequences, viz., 9 proteins of ND5 category and 50 Corona virus Spike Proteins. The results agree with those, which were obtained earlier by other methods based on classified groups of amino acids. An-yway it is found that the present unified formula is relatively simpler and fundamentally different from the earlier ones. Further, it can be applied conveniently in comparison of protein sequences based on all different types of classified groups of amino acids.
An Improved Hybrid PWM Technique for DC Capacitors Voltage Balance of Five Level DCMLI
Authors: Raju.K Narasimha , Pavan.G G.D.V. Sai , Harish.S S.V. , R Vignesh.
Published: April 2019

The innate problem with five-level Diode Clamped Multi Level Inverter (DCMLI) is imbalance in supply DC capacitor voltages. This paper presents a novel Hybrid Pulse Width Modulation (PWM) technique to stabilize the capacitor voltages. The unbalance in capacitor voltages leads to decrement in inverter level, increase in switching stress and distortion in the output voltage. The existing solutions to this problem use either a back to back connection of inverter and rectifier or external dc sources for each capacitor, but there isn’t a solution which would inherently balance the capacitor voltages of five levels and above for DCMLI. To rectify this problem a novel hybrid PWM technique which is combination of Carrier based PWM (CBPWM) and Space Vector Modulation (SVM) is proposed. As per this technique conventional CBPWM is applied to meet the load demand and SVM is applied at certain selective intervals to balance the capacitors. The novelty lies in selection of appropriate switching state and the interval at which it must be applied to balance the capacitor voltages. This technique is simple to implement and gives rise to less switching losses.
Design and Analysis of Compact Dual Band U-Slot Microstrip Patch Antenna with Defected Ground Structure for Wireless Application
Authors: Leo Pauline S , R Ganesh Babu T
Published: April 2019

This paper explore about   the micro strip patch antenna design with a defected ground structure (DGS) for dual band operation. The intend of this paper is to design an micro strip antenna, under the frequency at 2.4 GHz and 5.2 GHz that can be utilized for BLUETOOTH and WLAN applications. The feeding technique used here is coaxial feed technique. The above said double band property can be established by etching U-slot in the ground plane. Being periodic structure slot is selected and it is imposed on ground plane. The periodic structures naturally modify the method of propagation of the electromagnetic signal passing on to the antenna. Essentially its core is to vary the parasitic capacitance and inductance of the material through which the substrate is made. This may moreover leads to the reduction in size and progress the performance of the antenna. Micro strip patch antennae are favored due to the fact that these are small in size, inexpensive, consume low power and easy to fabricate and also be designed to meet wide band application requirements.
Automatic Identification of Maritime Boundary Alert System using GPS
Authors: Kavitha A , Ashok Kumar N , Revathy M
Published: April 2019

Global Positioning System (GPS) is being used more and more for a wide range of applications. This is a reliable position, navigation for end-users of anywhere in the world or around the globe, on any weather, day or night. The synchronization benefit gives that the GPS has three segments: space, control and client GPS has turned into a broadly utilized route apparatus over the world and turn into a helpful instrument for mapping, overviews, business, logical utilizations, checking and diversion has gone. As in any of the current GPS systems of geographic and entertainment, the security requirements of civilian navigation in the sea are met because the sea border of a country cannot be marked. This work concentrates on the flexibility and utility of a GPS in the ocean. The principle motivation behind the work is to help anglers explore past the limits of different nations. In the event that an angler goes past the limits of the nation, at that point a notice emerges, showing that the anglers have crossed the outskirt. Furthermore, a GSM transmitter interface will make an impression on construct station situated with respect to the shore showing that a vessel has crossed the fringe. Hence protects in the shore can help and give extra help to those anglers if necessary. Remembering about existences of Indian anglers, this gadget has been made to help them not to move past Indian. Overall, it is an endeavor to fabricate an appropriate gadget for the anglers at a sensibly ease.
Binary Plane Technique Based Color Quantization for Content Based Image Retrieval
Authors: Esther Ratna T , Subash Chandra N
Published: April 2019

Extracting accurate informative file from a high volume of graphic files is a challenging task. This paper focus on presenting a new color indexing approach                using the histogram features. Two histogram features like maximum color histogram and minimum color histogram are computed and are vector quantized to constitute a feature vector. Bit plane technique is used to map these features based upon it value at the respective position. The ultimate goal of any retrieval method is to attain higher precision within a short span of time that could be achieved if the data is in compressed to accomplish this the image is compressed using binary plane technique. The result analysis depicts the performance of the proposed approach under lossy and lossless modes and found that when operated in lossy it attain effective precision rate in a speculated amount of time.
Elegant System for Library Management using RFID
Authors: Pradeepa D , Valarmady R , G Rajasekar S
Published: April 2019

Radio Frequency Identification (RFID) implies a system that exchanges the data remotely, utilizing radio frequency waves. It is programmed identification innovation. This paper is about RFID based system for library management that permits quick exchange stream and will make simple to deal with the exercises like issue and return of books from the library absent much manual intercession. This system depends on RFID readers and detached RFID tags that can store the data electronically which can be perused by the RFID readers. This system will influence clients to issue to and return of books through RFID tags simple and furthermore ascertain the comparing fine connected with the timeframe the nonappearance of the book from the library.
E-Learning Concepts, Merits and Demerits
Authors: Valarmady R , Pradeepa D , G Rajasekar S
Published: April 2019

This research work scrutinizes the helpfulness of utilizing e-learning in training in tertiary organizations. In concerns of better learning, the apprehension of using modern facts and communiqué equipments for training and intellect is tremendously essential. This investigation evaluates prose and provides an insightful foundation to the examination by reviewing a few obligations finished by different investigators and establishments on the idea of e-learning, especially its tradition in training and knowledge in superior learning organizations. It   reveals a few sights that public and organizations have communal every comprehensive on the misappropriation and incorporation of e-learning schemes in teaching during reviews and some other surveillances.
Prediction of Machining Characteristics of Hybrid Composites Using Response Surface Methodology Approach
Authors: G Ramanan. , Prabha.N Rajesh , Samuel.G Diju , Aultrin. K. S Jai , Ramachandran M
Published: April 2019

This manuscript presents the influencing parameters of CNC turning conditions to get high removal rate and minimal response of surface roughness in turning of AA7075-TiC-MoS2 composite by response surface method. These composites are particularly suited for applications that require higher strength, dimensional stability and enhanced structural rigidity. Composite materials are engineered materials made from at least two or more constituent materials having different physical or chemical properties. In this work seventeen turning experiments were conducted using response surface methodology. The machining parameters cutting speed, feed rate, and depth of cut are varied with respect to different machining conditions for each run. The optimal parameters were predicted by RSM technique. Turning process is studied by response surface methodology design of experiment. The optimal parameters were predicted by RSM technique. The most influencing process parameter predicted from RSM techniques in cutting speed and depth of cut.
Predictive Analysis using Data Mining Techniques for Heart Disease Diagnosis
Authors: Joshi Siddharth , Sasanapuri Ashish , Anand Shreyash , Nandi Saurav , Nemade Varsha
Published: April 2019

Due to technological advancements in the field of computer science and data warehousing techniques. The healthcare industry ranging from small clinics to large hospital campuses use Content management system which has made the storage and accessing of data a faster option. But these large amounts of data generated are regrettably not mined and the data remains unexploited. Through this research we aim to demonstrate the use of Data Mining algorithm by using python programming language in order to create a desktop-based application which will cater to our aim. This Paper will analyze the performance by comparing the metrics of data analysis like accuracy, precision and recall in order introducing our software solution which tries to be more accurate than the work previously done on Cleveland, VA Hungarian data sets taken from UCI repository [1].
Low Power and Low Complexity Flip-Flop Design using MIFGMOS
Authors: Ragavendran U , Ramachandran M
Published: April 2019

Sequential logic is essential in many applications as data processing for speech recognition in cochlear implants. In this paper, a family of latches based on floating-gate MOS (FGMOS) transistors is presented. This family takes advantage on the fact that FGMOS logics process data using mostly passive devices, achieving small area and low-power, requirements of modern electronics. Post-layout SPICE simulations from an ON-Semiconductors 0.5 µm CMOS process technology shows improvements over conventional CMOS logic families, making FGMOS latches ideal for low-power applications.
Redundancy Prevention and Secure Audit of Encrypted BigData in HDFS Cloud using CloudGaurd+ System
Authors: Atul Shevade Vinit , A. Kulkarni D
Published: April 2019

The recent emerging Cloud Storageand Computing Technology provides a better approach for administrations and service provisioning over the Internet byoffering various computing and storage resources. The key significant and favored cloud service’s is information storage. Therefore, to maintain and conserve the privacy of data owners, data is often encrypted and stored onto the cloud as ciphered data. Nevertheless, a ciphered data introduces some issues for cloud data redundancy, which has been proved to be critical for Bigdata storage and computation in cloudenvironment. Conventional redundancy prevention methods do not work efficiently over ciphered data. Existing systems forciphered data redundancy prevention raises security issues and eventually effects the cloud processing. These existing systems are not capable of efficiently handling data access control and revocations. Therefore aiming to overcome these issues and achieving both redundancy prevention and integrity of cloud data, in this paper we propose a system, namely CloudGaurd+, to prevent redundancy of the stored ciphered data in HDFS Cloud based on authentication provocation and cryptography techniques. CloudGaurd+ incorporates cloud information redundancy prevention with access control. We assess its efficiency and performance based on substantial analysis and computer programming and simulations. The investigation and reenactment comes about demonstrates the unrivaled productivity and adequacy of the CloudGaurd+ system for  prospective deployment practically , particularly for Bigdata redundancy prevention in HDFS distributed cloud storage can be achieved.
Composition of Wireless Sensor Module for Vanet Applications
Authors: Patel Aayushi , G Shilpa , P N Vidyashree , N Thangadurai
Published: April 2019

In Vehicular Ad-hoc Network (VANET) field enormous research is done recently. VANET consists of dynamic nodes in larger numbers which are mobile nodes over an area. These VANET applications should be thoroughly verified before deployment. To test these technologies in real time is not feasible which involves lot of safety issues; various reports of the testing can’t be generated. To overcome this limitation can carry out simulation of VANET in the virtual environment. The network simulation is gift in this research environment. Simulation of VANET is divided into two categories (i) Traffic simulation which generates of traffic movement, defines the mobility model for vehicle also creating traffic movement and (ii) Network simulation generates communication protocols by inter communicating vehicle.
Design and Implementation of an IoT Ready Smart Sensor for Speed Sensing of a DC Motor using IEEE 802.15.1 and ESP8266
Authors: Jain Ankur , K. Roy B
Published: April 2019

An IoT enabled smart sensor for speed sensing of a DC motor is designed and implemented. This is a generic platform enabled with Wi-Fi, Bluetooth, etc. It can also be used for many other applications.  In this paper, we have used cyber-physical aspects for the co-design of hardware and software. Our design is equipped with Bluetooth radio frequency link and TCP/IP stack. The sensor node is able to communicate to both near and far range according to the requirement. IP addresses make it uniquely identifiable. Implementation is done as per the layered architecture which makes it interoperable. A demo setup is made for veriﬁcation.
A Novel Retinal Recognition System for Pathological Retina To Enhance Security
Authors: M.S.Rani B , Jhansi Rani A
Published: April 2019

Biometric acknowledgment gives a characteristic and solid answer for the issue of individual distinguishing proof. One of the biometric ID framework utilized with high exactness is the retinal verification as a result of its many-sided quality in spoofing. However in these frameworks, acknowledgment rate is enormously influenced by the vasculature multifaceted nature of retinal images. This vascular example turns out to be exceptionally perplexing in sick retinal pictures because of the nearness of obsessive signs. In this manner, we require a computerized productive calculation which can evacuate these abnormalities before matching and decision making. The proposed novel hybrid clustering algorithm Adaptive Weighted Neighbour (AWN) Classification Algorithm classifies the input retinal image based on the features extracted and match the features with the trained features. The proposed feature vector consists of blood vessel structure, bifurcation points, bifurcation angles and vessel width. Results from the AWN are compared with state of the art classifier. It enables high security, good performance and greater accuracy. Also it provides better FAR, FRR and decreases the error rate.
Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach
Authors: N. Patel Krunalkumar , A. Shah Saurabh , B. Shah Dipti
Published: April 2019

Today, the use of digital data like image, audio and video is tremendously increasing due to the advancement in technology and internet revolution. With this advancement to attain the one’s ownership and copyrights for this digital data is the biggest challenge. Digital watermarking is one of the technique to attain one’s ownership and copyrights with securely. It is the technique in which the owner’s copyright information can be embedded into the original media either in the form of an image, audio, text or video. There are two main factors we need to observe for this digital audio watermarking to maintain the robustness as well as imperceptibility against the piracy, malicious attacks, and various transformation operations. Though there are many challenges to achieve this results, in this paper, our proposed audio watermarking technique is used to improve the robustness, imperceptibility of the embedded information with security. For Security, in our proposed work we are using synchronized secret key concept with DSSS encryption algorithm and two important powerful transformation methods used that are DWT (Discreet Wavelet Transformation) up to 4-level to get lowest frequency sub-band and after that DFT is applied to get lowest frequency from sub-band found by DWT in which the modifications are done and then SVD (Singular value Decomposition)is applied to it, so that original audio file does not have any impact of watermark bits to get the better robustness and imperceptibility.
A Real-time LAN/WAN and Web Attack Prediction Framework Using Hybrid Machine Learning Model
Authors: Arshad Mohammad , Ali Hussain Md.
Published: April 2019

Real-time network attacks have become an increasingly serious issue to LAN/WAN security in recent years. As the size of the network flow increases, it becomes difficult to pre-process and analyze the network packets using the traditional network intrusion detection tools and techniques. Traditional NID tools and techniques require high computational memory and time to process large number of packets in incremental manner due to limited buffer size. Web intrusion detection is also one of the major threat to real-time web applications due to unauthorized user’s request to web server and online databases. In this paper, a hybrid real-time LAN/WAN and Web IDS model is designed and implemented using the machine learning classifier. In this model, different types of attacks are detected and labelled prior to train the machine learning model. Future network packets are predicted using the trained machine learning classifier for attack prediction. Experimental results are simulated on real-time LAN/WAN network and client-server web application for performance analysis. Simulated results show that the proposed machine learning based attack detection model is better than the traditional statistical and rule based learning models in terms of time, detection rate are concerned.
Recycling of Greywater (GW) through Natural Adsorbents
Authors: Chandra Kestwal Mukesh , Kumar Patel Ravi , Teychene Benoit , Mondal Prasenjit , Pal Sukdeb , Kumar Pandey Jitendra
Published: April 2019

Reuse of water has been a popular choice toward balancing water scarcity and managing water availability in defined areas.  GW which can be defined as the wastewater that comprises water from baths, showers etc, when managed and treated properly could be valuable resource for sectors like agricultural and horticultural. GW is one of the best option if treated and if not, it will mix with the sewage stream. It is possible to intercept this GW at the household level using minimum change in design, and with the primary and secondary treatment it can be recycled for garden washing, flushing and many purposes. In the present work, GW from student accommodation were collected, characterized and treated through series of natural adsorbent. Various parameters such as TDS, pH, Turbidity, BOD,COD, amount of nitrate and phosphorus were measured and it was found that most of the parameters were considerably in range after treatment.  A simple method has been proposed that may be applied at individual household level.
Automatic Facial Expression Detection System using Single Face Classifier
Authors: Durga Indira N , Venu Gopala Rao M
Published: April 2019

Several factors add to carrying emotions of a person. Posture, speech, facial expressions conduct and exercises are just some of them. Facial appearances are noteworthy in encouraging human correspondence and Associations. Facial appearances can be reflected not just as the most regular Procedure of displaying human feelings yet additionally as a significant to Non-verbal correspondence. Additionally, they are utilized as a noteworthy Device in social investigations and in medicine. In speaking with others, People can recognize feelings of included human with an impressive level of Precision. The issue of programming acknowledgment of outward appearances is yet an ebb and flow inquire about. This framework proposes a programmed outward Appearance appreciation framework, equipped for special the seven all-inclusive Feelings: disgust, anger, fear, satisfaction, trouble and amazement utilizing Profound convolution neural systems. It is intended to be a person independent. As there is a more prominent utilization of human-machine connections nowadays, it is likewise primary for machines to translate the facial ex-pressions and we Would have the capacity to accomplish exactness that is relatively practically Identical to the human mindfulness.
Experimental Study and Parameter Optimization of Hybrid Electrical Discharge Machining
Authors: Kumar Singh Nishant , Agrawal Sandeep , . Rajvardhan , Singh Yashvir
Published: April 2019

Hard materials cannot be machined effectively by the individual machining process. In order to machine workpiece made from hard and stiff materials effectively a concept of Hybrid machining process (HMP) is originated. The HMP is an integration of two or more machining process to get the advantage of each individual process. HMP is used to machine  This study focuses on evolving a novel process using both oil and gas as dielectrics to analyse the effect on tool wear rate (TWR) and material removal rate (MRR). The flow of compressed gas through eccentric-hole rotating tool improved the debris removal from inter-electrode gap, hence it improve the flushing competence of the machining process. In this experimental investigation, the workpiece material is Al-20% SiC metal matrix composite (MMC) and the electrode material is copper. The experiments were conducted following the Taguchi method of design experiments. The effect of various machining parameters on MRR and TWR has been studied. The optimization of process parameter has also been done. The results of TWR and MRR are analysed using S/N ratio, ANOVA and main effect plots. The experimental results, revels that discharge current, gap voltage and pulse on time significantly affected MRR, and TWR. The experimental inference reveal that provision of compressed air through eccentric hole rotary tool has a positive effect on machinability of electrical discharge machining (EDM) process.