bluuebunny/crossref_metadata_2025 huggingface dataset:
One-Pot Synthesis of N-Benzyl Substituted 2- Aminothiophene-3-Carboxilic Acid Scaffold and their Antibacterial Activity
Authors:   Department of Chemistry, GITAM University, Rushikonda, Visakhapatnam., India., vikram Venugpalarao , Amperayani Karteek Rao ,   Department of Chemistry, Gayatri Vidya Parishad college for Degree and PG Courses (A), Rushikonda, Visakhapatnam, India, Parimi* Umadevi ,   Department of Chemistry, Gayatri Vidya Parishad college for Degree and PG Courses (A), Rushikonda, Visakhapatnam, India.
Published: October 2019

2-aminothiophene is an important pharmacophore in medicinal chemistry which exhibits a wide spectrum of biological activities. An efficient one pot synthesis has been established for the synthesis of novel series of N-benzyl substituted 2-aminothiophene-3-carboxylic acid derivatives. The synthesized compounds were characterized by nuclear magnetic resonance (1H and 13C NMR) and Mass spectrometry. The antimicrobial activity of these compounds were tested on Gramnegative bacteria and Gram-positive bacteria. Among all the synthesized compound 2b, 2c, 2f were found to have good antibacterial activity. Conjugation of the compound and carboxylic acid group has enhanced the activity of all the compounds.
Mechanical Characterization of Rapid Solidified Alsicumg Alloys by New CRSS Casting Method Under T6 Condition
Authors:   Research Scholar, Marine Department, Andhra University, Visakhapatnam, India., K* D Malleswararao , kumar Dr. I N Niranjan ,   Professor, Marine Department, Andhra University, Visakhapatnam, India.
Published: October 2019

Aluminum-silicon alloys acquiring extensive industrial attention due to their superior resistance to rate of wear and elevated strength to weight ratio properties. Though the properties of the materials substantially depend on the manufacturing process they involve. Thus many industries focusing on new manufacturing methods to produce high-performance alloys. In this present study, AlSi (16-18) alloys were prepared by new CRSS (combined rheo stir squeeze) casting method with rapid-solidification process under T-6 condition. CRSS-T6 as casting process enhances the microstructural and mechanical properties significantly by 40-70%. Whereas, the maximum value of hardness (179.37) was found with AlSi17Cu3.5Mg0.8 with CRSS-T6. The improvements in hardness and elastic properties were mainly ascribed to size, distribution, and morphology of Si-particles because of its manufacturing process. SEM, advanced metallurgical microstructure and EDS analysis techniques are used for the surface morphologies observation. Moreover, Brinell hardness tester and Tensometer are used for the characterization of mechanical properties.
Detecting Spam Messages in Twitter Data by Machine learning Algorithms using Cross Validation
Authors:   Research Scholar, Anucet, ANU, Guntur, AP, India., Reddy* K Subba , Reddy Dr. E. Srinivasa ,   Dean, Anucet, ANU, Guntur, AP, India
Published: October 2019

Now a day’s human relations are maintained by social media networks. Traditional relationships now days are obsolete. To maintain in association, sharing ideas, exchange knowledge between we use social media networking sites. Social media networking sites like Twitter, Facebook, LinkedIn etc are available in the communication environment. Through Twitter media users share their opinions, interests, knowledge to others by messages. At the same time some of the user’s misguide the genuine users. These genuine users are also called solicited users and the users who misguidance are called spammers. These spammers post unwanted information to the non spam users. The non spammers may retweet them to others and they follow the spammers. To avoid this spam messages we propose a methodology by us using machine learning algorithms. To develop our approach used a set of content based features. In spam detection model we used Support vector machine algorithm(SVM) and Naive bayes classification algorithm. To measure the performance of our model we used precision, recall and F measure metrics.
Removal of various Noises in Dental X-ray Images using Selective Median Filter
Authors:   Research Scholar, Sathyabama Institute of Science & Technology, Chennai, India., Leo* L.Megalan , Reddy T.Kalpalatha ,   Principal, SV Engineering College for Women , Tirupati, India ,
Published: October 2019

Image processing plays major role to provide additional information in medical diagnosis. Input images contain picture information as well as noise information. Noise information is added with the images during signal acquisition stage or in the transmission of image data. Salt & Pepper noise, Gaussian noise and Speckle noise is the major noises introduced in the images. Noise information may be interpreted as data and it may lead to severe problem. Linear and Non-linear filters are used to reduce these noises in the images. In medical image analysis, non-linear filters are preferred over linear filters because it preserves edge information. Dental X-ray image is used to identify the cavities and its depth. Average filter, median filter and wiener filter are the classical techniques used in many image processing applications. In this paper, three different noises (Salt &pepper, Gaussian and Speckle noise) are added and different filters (Average filters, median filter, Wiener filter) performances are analysed with the PSNR, SNR and MSE. Analysis shows that median filter is suitable for reducing salt & pepper noise and wiener filter is suitable for reducing Gaussian noise and speckle noise in the dental x-ray images. Selective median filter is a modified wiener filter. Median filter is used for the pixel value 0 and 255.For other pixel values wiener filter is used. Selective median filter is giving better result than traditional techniques.
Accept and Scale Traditional News Elements By Utilizing Public Network Elements
Authors:   pursuing M.Tech(CSE), Narasaraopet Engineering College, Narasaraopeta, AP – 522601, India., Rani* K.B.Sandhya , Srinivasu Dr.S.V.Naga ,   Professor, Computer science and engineering, Narasaraopeta Engineering College, Narasaraopet, AP -522601, India.
Published: October 2019

Media orgins, specifically the news elements, have traditionally informed us incidents of daily life. In recent times, public network services such as Twitter provide an huge amount of numerous smaller collections generated from different user data. In this work, a new technique is proposed to filter noise and to obtain the data which are similar in news content which is considered to be valuable. It has a bottom-up approach to news recognition, and without of the help of an predefined origins of firm or topics. Rather, determines growing talks and messages daily to choose that are news-like. We introduce a hierarchical Bayesian model that jointly models the news media services and social media services and we show that our proposed model can capture different topics for individual datasets. In The proposed system the process is to change these instances into a regular model of characteristics and classes, System denote a oversee method based on a graphical paradigm to identify webbing poll show that the supervised method substantially improvize existing method. lastly the persons interactions while all the interests of the person in social media are considered hence the proposed work identifies and ranks news topic. In this paper we reveal our main domain, model and estimations are used to attain the goal, and instructions learnt parallely.
Organizational Culture and Organizational Commitment in Software Product Line Institutionalization: the Perspective of Organizational Change
Authors:   Associate Professor, Division of Business Administration, College of Business, Sangmyung University, 20, Hongjimun 2-gil, Jongno-gu, Seoul 110-743, Korea, Choi* Youngkeun
Published: October 2019

This study aims to investigate what factors of organizational culture are associated with successful institutionalization of software product line and to explore if organizational commitment has a mediation effect on the relationship between these factors of organizational culture and software product line performance. To do this, this study collected data from 352 employees of a Korean company by survey method. Also, a structural equation modeling has been taken. As a result, as a result of the three organizational cultural types first proposed to take into account the features of the software engineer, result-oriented culture, open system culture, and employee-centered culture increase their commitment to the organization. Second, software engineers' emotional commitment to organizations improves SPL performance. Finally, software engineers' emotional, organizational commitments mediate the relationship between employee-centric culture and SPL performance. This study is the first one to show the organizational culture types associated with psychological contracts and to understand how these organizational cultural types affect software product line performance through organizational commitment. The results of this study provide conceptual insight to administrators who want to find organizational culture types without sacrificing software product line performance.
Improved Machine Learning using Adaptive Boosting algorithm in Membrane Protein Prediction
Authors:   Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal, Deen* Anjna Jayant , Gyanchandani Manasi ,   Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal
Published: October 2019

Membrane protein are very important and play significantly in the field of biology and medicine. The main purpose is to find suitable features of a membrane protein. Various features extraction methods are use to find membrane protein and their types. PseAAC (Pseudo Amino Acid Composition) is a one of the feature extraction method which was used to find the localization of the protein, which helps in the detection of membrane types. Therefore, in this study, a novel feature extraction method which is an integration of the pseudo amino acid composition integer values mapped in discrete sequence numbers in a matrix. The proposed scheme avoids biasing among the different membrane proteins and their types. Decision making for predicting the identification of membrane protein types was performed using an algorithm framework to improve the learning accuracy, by putting the training samples weights in the learning process of AdaBoost. The performance of different ensemble classifiers such as Random Forest, AdaBoost, is analyzed. The best accuracy achieved is 91.50% for with the Matthews correlation coefficient is 83.0%, and Cohen’s Kappa value is 82.7%.
Multi-Homed Inter-Autonomous System Provider using Mpls Vpn Technology
Authors:   PG Student, Dept. of ECE, Sri Padmavathi Mahila University, Tirupati, Kumari* M.Naga , Padmaja T.S. ,   Senior Assistant Professor, Dept. of ECE, Sri Padmavathi Mahila University, Tirupati, Prasad M.Devi ,   Sub Divisional Engineer, Admin in Networking, Regional Telecom Training Centre, Hyderabad
Published: October 2019

To implement a Multi-Homed Inter-AS Provider network using MPLS VPN technology where Service Provider 1 and Service Provider 2 are providing services to geographically dispersed Customer A and B sites. This research work is great method of communication among partner branches of an organization each of them situated at distinct geographical areas with absence of the same ISP in every area. We came up with an idea of designing Multi-Homed Inter-AS provider network i.e., connecting multiple ISPs with MPLS VPN which provides global reachability. This design provides security confidently in Private/Public organizations through Internet replacement. In reliability, it becomes more important to use MPLS technology which is being widely adopted by worldwide service providers to connect geographically separated customer sites. In this research work, Customer Sites are connected with VPNs for secure private. Here, we provide a great survey about MPLS, BGP, and VPN Networks. We address the issues of traditional Inter-As Provider. This existing system connects the geographically separated customer sites with single link. Such, there is more traffic burden on that single link. Thus, the quality parameters of network such are speed and QoS (Quality of Service) are changing with traffic rate. To overcome these issues, we propose the Provision of Multi-Homed Inter-As Provider using MPLS VPN Technology. Our proposed design Inter-AS Multi-Homed Provider using MPLS VPN has explained in GNS3 Software for better understanding the system. This research work would be helpful for service providers to provide their services for long distance customers with more security and QoS parameters.
Permeation Properties of Geopolymer Concrete Made with Partial Replacement of Recycled Coarse Aggregates
Authors:   Department of Civil Engineering, GRIET, Hyderabad, India,, Srinivas* Dr. T. , ANAND P. MANOJ ,   Department of Civil Engineering, GRIET ,Hyderabad,India
Published: October 2019

Concrete is themost generally used construction material inthe world due to, wonderful durability, straight forward accessibility of its constituent materials, its low price, straightforward formability to any shape, etc. There are many ecological problems connected with the manufacture of OPC, at a similar time accessibility of natural coarse aggregate is additionally changing into scarcity and on the other side, the disposal of C&D wastes is additionally changing into a significant environmental issue . Hence, it is unavoidable to find an alternative material to the existing most resource consuming Portland cement and natural aggregates. GPC is a construction material of innovation concrete which shall be produced by the chemical action of inorganic molecules and made up of fly ash, GGBS, FA, CA, and an alkaline solution of NaOH and Na2SiO3, plays a significant role in its environmental control of greenhouse effects. The main objective of this paper is to study the permeation properties such permeability, sorptivity etc.,of geopolymer concrete of grade G40 when natural coarse aggregate is replaced with recycled aggregate in different proportions such as 10%, 20%, 30%, and 40% and also to compare the results of geopolymer concrete made with recycled coarse aggregates with geopolymer concrete of natural coarse aggregate and controlled concrete of respective grade. It has been observed that the permeability and sorptivity properties are better in geopolymer concrete, both in natural coarse aggregate and recycled coarse aggregate up to 30% replacement when it is compared with the same grade of controlled concreterespectively.
Hybrid Cross Layer Fault Resilient Energy Efficient Data Transmission for Underwater Acoustic Sensor Networks
Authors:   Assistant Professor in the department of Computer Science and Engineering at BGS Institute of Technology, BG-Nagar, Mandya, Karnataka, INDIA, K* Mrs.Vidyalakshmi , Siddappa Dr.M. ,   Professor and Head, Dept. of Computer Science and Engineering and aslo is the Dean Academics at Sri Siddhartha Institute of Technology, Tumakuru, Karnataka,INDIA, Shanmukha Dr.B. ,   Associate Professor in the department of Mathematics at PES College of Engineering Mandya.
Published: October 2019

Under water acoustic sensor network is the unique case of wireless sensor network in which the physical characteristics limits the capability of sensor network due to various problems like Doppler-spreads, medium significnt delay, Double-side spreading, limited bandwidth and frequency-selective fading. Ensuring QOS is very challenging problem in acoustic sensor networks. In this work, a QOS centric hybrid routing protocol with consideration of fault resilience is proposed. The solution use the parameters of the network at all Application Layer, Network Layer, MAC Layer, and PHY Layer, which are the different layers of IEEE 802.15.4 protocol stack, thus calculating Node selection score which helps in identifying the best forwarding node for a constrained reliable data transmission. The solution involves dynamic link quality estimation, congestion awareness, packet injection ratio estimation and physical switching that cumulatively ensures fault-resilient and QoS delivery over acoustic sensor network.
Mathematical Morphology and Optimum Principal Curvature Based Segmentation of Blood Vessels in Human Retinal Fundus Images
Authors:   Assistant Professor, Department of BCA, PSGR Krishnammal College for Women, Coimbatore, Tamilnadu, India., Geethalakshmi* K. , Meenakshi Dr.V.S. ,   Research Supervisor, PG and Research Department of Computer Science, Chikkanna Government Arts College, Tirpur, Bharathiar University, Tamilnadu, India.
Published: October 2019

The retinal abnormalities and diagnosis of Diabetic Retinopathy (DR), Glaucoma are accomplished by extraction of vessel network in human retinal images. An accurate segmentation is required for the pathological analysis. Various researchers proposed many automated systems for vessel segmentation, still this process needs an improvement due to the presence of abnormalities, different magnitude, dimension of the vessels, non-uniform lighting and variable structure of the retina. The proposed work is a new method for retinal vessel segmentation, which consists of three phases, (i) The vessels network is enhanced by using Contrast Limited Adaptive Histogram Equalization(CLAHE) and Median filtering techniques (ii) the smoothened image is segmented based on mathematical morphology and maximum principal curvature followed by cleaning operation to remove the small objects, (iii) the segmented image is compared with hand labeled Ground Truth image and is evaluated with the True Positive, False Positive , True Negative and False Negative parameters. The performance of this work is tested with the images existing in DRIVE database. This work achieves 0.965 Accuracy, 0.752 Sensitivity and 0.989 Specificity.
Modern Lead Generation in Internet Marketing for the Development of Enterprise Potential
Authors:   Department of Economic Management of Natural Resources, Institute of Market Problems and Economic-Ecological Research of the NAS of Ukraine, Odessa, Ukraine, Bondarenko* Svitlana , Laburtseva Olena ,   Department of Marketing, Kyiv National University of Trade and Economics, Kyiv, Ukraine, Sadchenko Оlena ,   Department of Marketing and Business Administration Odessa I.I. Mechnikov National University, Odessa, Ukraine, Lebedieva Vira ,   Department of Administrative Management and Market Problems, Odessa National Polytechnic University, Odessa, Ukraine, Haidukova Oleksandra ,   Department of Project Management and Enterprise Security, Yurii Fedkovych Chernivtsi National University, Chernivtsi, Ukraine, Kharchenko Tetyana ,   Department of Management, Sumy National Agrarian University, Sumy, Ukraine
Published: October 2019

The buying process has changed, and marketers need to look for new ways to attract customers. Instead of reaching potential customers through mass advertising and e-mail newsletters, marketers should now focus on learning how to build and maintain ongoing customer relationships According to statistics, 96% of new visitors to the site are not yet ready to make a purchase, although they are all potential customers. This figure shows how important lead generation is. Visitors to your site is just the beginning of the lead generation process. If the company does not have a clear strategy that will translate potential customers into buyers, it will constantly lose in the market and lose profits. It is necessary to analyze the main indicators of lead generation efficiency, return on investment, and conversion.
Exploration of Nano Fillers (Multi Walled Carbon Nano Tubes and Graphene Powders) in the Reinforcement of Epoxy/Glass Fibre Polymers (GFRP)
Authors:   Research Scholar, Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India., G* Rathinasabapathi. , A Krishnamoorthy. ,   Professor, Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India.
Published: October 2019

Variations in the mechanical properties of the glass fibre reinforced polymers were seen when exploring nano fillers such as Multi Walled Carbon Nano Tubes (MWCNTs) and graphene powders for reinforcement. GFRP composites when fabricated with increase in percentage weights of MWCNTs and graphene get better interfacial bonding with the matrix. Nano fillers improve the performance of the composites. This paper deals with the examination and experimental investigations carried out for the prediction of the enhancement of mechanical properties on GFRP reinforced with MWCNTs and graphene powders. GFRP composites were fabricated with variations in the amount of nano fillers in percentage weights of 2%, 4%, 6%, 8% and 10% wt. MWCNTs and graphene powders. The method used for reinforcement of resin with nano fillers was ultrasonication method meant for avoiding voids. A tendency for the mechanical properties to deteriorate was observed when nano fillers added were beyond certain weights of MWCNTs and graphene powders. This could be due to the agglomeration of nano fillers that change the fibre/matrix interface. Graphene nano fillers opts to be better compared to MWCNTs since the fabricated graphene reinforced glass fibre specimens have a better performance than GFRP specimens reinforced with MWCNTs.
Implementation of UPFC for Improving the Power Flow and Voltage Stability with Fuzzy Logic Controller
Authors:   M.Tech Student EEE, Gokaraju Rangaraju Institute of Engineering and Technology (JNTUH), Hyderabad, India., Priyanka* K. Fedora , Madhuri Mrs.V.V.S. ,   Associate Professor, Gokaraju Rangaraju Institute of Engineering and Technology (JNTUH), Hyderabad, India
Published: October 2019

This paper deals about one of the FACTS devices which is called UPFC (Unified Power Flow Controller). It is used to control reactive (KVAR) and active power (KW) by means of adjusting bus voltage at the located line. UPFC can improve the quality of power within their limits on the targeted line. That’s why this device has the different way of controlling the power flow and voltage stability. Without UPFC, it is impossible to control voltage, reactive and active power. In this thesis, we can also analyze by attaching fuzzy logic controller to this system. The simulation models are made in MATLAB software. Under simulation we get results for with and without using UPFC and then we compare these results in the form of active and reactive power in the required line. By comparing these results, we decide that UPFC is an ideal controller.
Development of Regional Flood Frequency Relationship for Narmada Basin using Index Flood Procedure
Authors:   Assistant Professor, Department of Civil Engineering, Institute of Technology, Nirma University, Ahmedabad, India., Dubey* Amit
Published: October 2019

Water Resources decision making problems such as flood plain zoning, design of hydraulic structures etc. are based on design flood estimate, defined as discharge for a specified probability of exceedance. Flood Frequency Analysis helps to estimate the flood value for a specific return period. This procedure requires sufficient length of observed data of floods on river gauging sites which many a time is not available. In India major rivers have very few gauging sites and their tributaries are mostly ungauged. When quantiles have to be estimated for ungauged sites, Flood Frequency Analysis is neither possible nor reliable. Regional Flood Frequency Analysis is the means to overcome such problems, reasonably quantifying flood estimates at desired frequencies for sites within a more or less hydrological homogeneous region. Narmada Basin located in central India covers an area about 98,976 sq. km, drained by a large number of tributaries, most of which are ungauged, has been considered as the case. Index Flood method utilizing Gumbel’s EV-1 distribution have been used in the present study to develop the Regional flood frequency relationship. The Annual Peak Flood data of 16 gauging sites of Narmada Basin, having record length of 12 to 17 years, is utilized for flood estimation. Flood frequency curves for the considered gauging stations are generated. Development of regional flood frequency relationship leads to the estimation of different return period flood.
An Efficient Pass Parallel SPIHT based Image Compression using Double Density Dual Tree Complex Wavelet Transform for WSN
Authors:   Department of Electronics Engineering, Pondicherry University, Pondicherry, India., Samundiswary* P. , Rekha H. ,   Department of Electronics Engineering, Pondicherry University, Pondicherry, India
Published: October 2019

For the past two decades, wavelet based image compression algorithms for Wireless Sensor Network (WSN) has gained broad attention than that of the spatial based image compression algorithms. In that, Dual Tree Complex Wavelet Transforms (DTCWT) has provided better results in terms of image quality and high compression rate. However, the selection of DTCWT based image compressions for various WSN based applications is not practically suitable, due to the major limitations of WSN such as, low bandwidth, low energy consumption and storage space. Therefore, an attempt has been made in this paper to develop image compression through simulation by considering the modified block based pass parallel Set Partitioning In Hierarchical Trees (SPIHT) with Double Density Dual Tree Complex Wavelet Transform (DDDTCWT) for compressing the WSN based images. In addition, bivariate shrink method is also adopted with the DDDTCWT to obtain better image quality within less computation time. It is observed through simulation results that above mentioned proposed technique provides better performance than that of existing compression technique
Direction Oriented Block based Inpainting using Morphological Operations
Authors:   Assistant Professor, K R Gouriamma College of Engineering, Kerala., Shajahan* Ms. Shyni , Kumar R. Dr Mathusoothana S ,   Bachelor’s degree in Electronics and Communication Engineering from National Engineering College, Kovilpatti, Tamil Nadu, India., Raj Dr. Y.Jacob Vetha ,   an Associate Professor, of Department of Computer Science in Nesamony Memorial Christian College, India.
Published: October 2019

Inpainting is one of the wide growing area of image processing. Image inpainting is a technique to reconstruct the restored region using some background information and obtain the results very efficiently and effectively. The basic concept of image inpainting is to replace the unwanted object from the original image and to recover the image using some neighborhood pixels in an undetectable way. In this paper, we introduce an efficient algorithm for image inpainting i.e., Direction Oriented Block-Based using Morphological Operations approach. This algorithm gives better efficiency than the previously proposed algorithm. By this approach, we can inpaint large regions as well as recover small portions in an undetectable way. A more accurate patch will be found out by this proposed approach. The experimental results proved that our proposed work is more computationally efficient and effective compared to previous work.
Hydrothermal Preparation of Palladium Supported on Magnetite for Catalysis Applications
Authors:   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt., Elazab* Hany A. , Hassan S. A. ,   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt., Radwan M. A. ,   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt, Sadek M. A. ,   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt
Published: October 2019

Herein, versatile, and reproducible method to prepare Pd/Fe3O4 via hydrothermal synthesis. The vital role of this catalyst is in its potential use in CO oxidation catalysis. The Pd/Fe3O4 shows a distinctive activity. TEM images confirmed that Pd nanoparticles of 8-12 nm have a well dispersion on the surface of magnetite (Fe3O4). Moreover, the prepared catalyst is recycled with remarkable catalytic activity. This outstanding activity is mainly a direct result of the strong metal-support interaction. The defect sites in the reduced iron oxide act as nucleation centers that enable anchoring of Pd nanoparticles leading to prevention of agglomeration.
Smart Glass for Visual Impaired People
Authors:   Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India, Prabhu* V. , Thomas D.Ruban ,   Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India, Kumar V.Senthil ,   Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
Published: October 2019

To defeat the voyaging trouble for the outwardly debilitated individuals, this endeavor presents an ETA (Electronic Travel Aids)- canny controlling device in the condition of a few eyeglasses for provide these people guidance gainfully and safely. Unique in relation to existing works, a novel Convolution Neural Network(CNN) based deterrent keeping away from calculation is proposed, which uses Google's pre-prepared datasets of different classes to take care of the issues of identifying little impediments, and straight forward obstructions, for example bicycle. For absolutely visually impaired individuals, three sorts of voice guidelines to educate the bearing where they can proceed. For deaf and dumb people we integrate two servo motors to insist them through touch. The prototype consists of pair of servo motors and camera in the eye glass and its effectiveness and precision were tried by an ongoing snag. The test result demonstrates that the savvy controlling glass is effective in accuracy than any other traditional algorithms. Thus it serves as a user friendly device by its simplistic design.
Deep Learning based Model for Plant Disease Detection
Authors:   Department of Computer Science and Engineering, Kongu Engineering College, Erode, Tamil Nadu, India., Kogilavani* S.V. , Malliga S. ,   Department of Computer Science and Engineering, Kongu Engineering College, Erode, Tamil Nadu, India.
Published: October 2019

Plant disease prediction is vital in Agriculture sector. Farmer's economic growth depends on the quality of the products that they produce, which relies on the plant's growth and the yield they get. Identifying the disease can lead to quicker interventions that can be implemented to reduce the effects of major economic loss. There may be high degree of complexity in diagnosing the various types of diseases in plants through leaves of the plants. Manual mode of plant disease detection is a tedious process. In this proposed work, Convolutional Neural Network methodologies like Sequential model and SmallerVGG model were utilized for detecting diseases in plants and diagnosis using plant leaf image. Among these two models, SmallerVGG model achieved more accuracy rate of 87% than 65% of sequential model.
Performance Analysis of Heterogeneous Wireless Sensor Network using MIMO Concept
Authors:   Department of Telecommunication Engineering, Dr. Ambedkar Institute of Technology, Bangalore, India., Lakshmi* Mrs.M. , C.R Dr.Prashanth. ,   Department of Telecommunication Engineering,, Dr. Ambedkar Institute of Technology, Bangalore, India.
Published: October 2019

In a distributed Wireless Communication Technology, the Wireless Sensor Network (WSN) is a technology developing for sensing and performing different monitoring operations. The proposed algorithm dynamically partitions the Heterogeneous Wireless Sensor Network (HWSN) in to clusters. On the basis of initial energy, the cluster head (CH) is selected in the first round and residual energy with low draining rate protocol (RELDR) is used in the next round for selecting CH. The CH senses and aggregates the data, these summarized data is processed between the clusters and the link is maintained with the base station. Cluster Authority (CA) is a member node that acts as a supervising node which contains remove list and maintains the attacker information. The Technology Multiple Input and Multiple Output(MIMO) is used in the proposed system which reduces the noise in the signal and improves the network performance. During transmission, the unauthenticated nodes which are responsible for data leakage or any malicious activities are detected by the algorithm and information of these nodes are updated in the remove list of CA. The listed unauthenticated nodes or the black hole attack nodes in CA are removed from the network. The proposed algorithm removes the malicious nodes which are affecting the network performance and reconstructs the network by considering only the legitimate nodes. Experimental results will be analyzed for the network parameters like throughput, delay, energy and Packet delivery ratio and compared with the existing systems.
Automated Waste Transfer System using Dedicated Corridor in Cities
Authors:   Dept. of Information Technology, SRM Institute of Science and Technology, Chennai, India, Gupta* Ankur , Muthulakshmi Mrs. S. ,   A.P. (O.G.), Dept. of Civil Engineering, SRM Institute of Science and Technology, Chennai, India
Published: October 2019

The Waste disposal techniques have become quite old for the modern period lately. The transfer of waste from the waste bins in the localities through the use of compactor trucks needs to be changed. It stands low on the efficiency scale. This can be improved by Channelizing waste through a separate corridor. The idea is to channelize the waste underground by using belt conveyor systems. The waste collector bins in the localities will be joined to the main conveyor heavy duty belts by small conveyor belts to move the waste. This waste will be taken to the waste processing plants by the belts fixed underground. The waste collector bins will be equipped with the pressure plates and will be connected to the network. As soon as the bin is full, it will send the information to the control centre. The operator at the centre can empty the bin by clicking a button. This will help to live monitor the waste and move it as soon as possible. The waste which is channelized can be easily segregated at the end where it enters the waste processing plant. Segregation of the waste will allow us to reuse the recyclable materials which most of the time are dumped in the landfills. The idea is to eliminate the Compactor Trucks as they cause pollution and congestion. Also many a times, waste materials are dropped out from the truck while carrying them to the processing plants which affects the riders behind it. The smoke from the trucks is dark and sooty which are the main causes for the lung diseases. Whereas the belt driven system will work on electricity. This energy can be harnessed by renewable energy resources or by power plants where the efficiency is the highest.
Word Spotting in Handwritten Document Images based on Multiple Features
Authors:   Department of Computer Science, Karanata Arts, Science and Commerece College, Bidar, India,, Hangarge* Mallikarjun , C. Veershetty ,   Department of Computer Science, Government First Grade College, Basavakalayan, Bidar, India
Published: October 2019

This paper presents word spotting in handwritten documents based on multiple features. Multiple features are derived using Gabor, Histogram oriented gradient (HOG), Local binary pattern, texture filters and Morphological filters. The real time documents are heterogeneous in nature, for instance application forms, postal cards, railway reservations forms etc. includes handwritten and printed text with different scripts. To spot a word in such documents and retrieving them from a huge digitized repository is a challenging task. To address such issues word spotting based on multiple features is carried out with learning and without learning methods. In both the methods (learning and learning free) texture filters are exhibiting outstanding performance in terms of precision recall and f-measures. To confirm the capability of the proposed method, extensive experiments are made on publically available dataset i.e.GW20 and noted encouraging results compared to other contemporary works.
Present Development Practices for Tax, Financial and Statistical Reporting in the Russian Federation
Authors:   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Petrov* A.M. , Kiseleva N.P. ,   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Kevorkova Z.A. ,   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Melnikova L.A. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Yshanov Igor G. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia
Published: October 2019

Financial, statistical and tax reporting is of prime importance in today’s world. All the economic entities are obliged to disclose their operating performance and pay taxes established by the law. Currently financial and statistical reporting serves to address these objectives, as it pertains to disclosure of the financial performance of an economic entity while tax reporting is intended to control the tax base calculation and, respectively, the tax subject to transfer to the budget [4, 7, 10, 14]. Regulatory authorities use tax reporting to determine if the tax calculation is correct. Reporting purposes used to change over time, thus their current intended purpose is not consistent with the initial ones. The article analyzes the development evolution of the tax, financial and statistical reporting and its regulatory control in these days.
Automated Anesthesia Injector for Patient Monitoring System using Unified Technology Learning Platform
Authors:   Professor, Department of Electrical & Electronics Engineering, Muthayammal Engineering College, Namakkal, India, Sagayaraj* Dr. R. , Sheela A. ,   Associate Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Erode, India, Saravanakumar Dr. U. ,   Professor & Head, Department of ECE, Muthayammal Engineering College, Namakkal, India.
Published: October 2019

This work focuses on the level of anaesthesia injected to the patient at a specified time span and to observe the various physical parameters of the patient such as temperature, heartbeat, blood pressure, glucose level, blood level and respiration of the patient in an effective manner. To avoid the death of a patient in the anaesthetic condition during operation, an anaesthesiologist is with the patient at the time of surgery to monitor the patient. In the existing system, for the monitoring of anaesthesia, Anaesthesiologist will accompany the patient until the patient becomes stable. To overcome the above issue, the proposed automated patient monitoring system will hog the limelight in hospitals in the near future. Through automation in the monitoring system with high speed advanced ARM 8 processor which executes large instructions used for the implementation. The automatic anaesthesia monitoring system has capable of monitoring multiple parameters, which is essential for the patient during the anaesthetic condition. The physical parameters are sensed using suitable sensors and transmitted through the Zigbee module over a wireless network to the anaesthesiologist so that the anaesthesiologist can monitor the patient anaesthetic condition and other parameters at their own premises. Also, they can view the results in the monitor screen with the help of a personal computer. The proposed system reduces the risk of severe injury and death during anaesthesia. The proposed system is executed using the Unified Technology Learning Platform and the simulation results against various parameters of the patient are performed using Labview software.
A New Feature based Scoring Technique to Discover Sentiments Present in the Online Product
Authors:   R Asst Professor of Computer Science, Sudharson College of arts and science Pudukkottai, Mrs. Bhuvaneswari*  , Ravichandran Dr. S. ,   HOD and Assit.Prof, Computer Science Department , H.H.The Rajah’s college, Pudukkottai.
Published: October 2019

The increasing usage of internet, online stores and social media has provided the users to express their opinion, attitude and views without any reluctance and fear on the World Wide Web. These opinions expressed by the users can be related to a product or service as well as any global issues. The colossal growth of the web technology has offered the consumers to know more about the products they intend to buy from the existing customer’s reviews. This paper focuses on analyzing the opinion by splitting the positive and negative opinion and then guides the user about the ground truth regarding the performance and quality of the product. The important idea here is to categorize the important features of the product and then accordingly provide the feature wise computation instead of roughly promoting a product as good or bad.
Reliable, Effective and Fault-Tolerant Design of LeafyCube Interconnection Network Topology
Authors:   Dept. of CSE, CAPGS, BPUT, Rourkela , Odisha, India., Adhiakri* Nibedita , Singh Archana ,   Dept of CSE, CAPGS BPUT, Rourkela , Odisha, India,, Swain Nirmal Keshari ,   Dept. of CSE, MIT, BBSR, India.
Published: October 2019

This paper attempts to derive the performance properties of the Leafycube (LC) interconnection network. The Leafycube is already observed to have quite superior topological properties in comparison to the other contemporary networks. The various performance parameters of the LC network are studied and compared with the existing HC and its variants. The routing and broadcasting algorithms are proposed and the time complexities are also compared. The paper attempts to evaluate the cost effectiveness, reliability and fault tolerance aspects of LC interconnection network in order to justify the novelty in the design of the proposed structure. The leafy structure helps to retain the original hypercube while improving the node packing density in the interconnection network.
Development of Feature Based Classification of Fruit using Deep Learning
Authors:   Electronics & Communication, Amity University Uttar Pradesh, Noida, India., Yogesh*  , Dubey Ashwani Kumar ,   Electronics & Communication, Amity University Uttar Pradesh, Noida, India., Ratan Rajeev ,   Electronics & Communication, MVN University, Palwal, India.
Published: October 2019

Fruit classification is a challenging task in image processing. Computer vision based classification method is agile and rigorous compared to human based approach. In this paper, a method is developed for feature classification using deep learning. The region with their own characteristics is classified based on deep learning convolutional neural network technique. Traditional method for diagnosis of fruit involves visual observations by experts. The interference of environmental factors needs to be considered during diagnosis process. Datasets such as VOC, PASCAL, ImageNet etc. are easily available that are used for training of several different types of objects. The proposed model introduces two pre-trained networks; AlexNet and GoogLeNet. For faster and optimized training, Rectified linear unit (ReLu) is used that maintain positive value and map negative values to zero. The model learns to perform classification directly from images. Neural network architecture is used for implementation of deep learning. Error in deep learning is minimized compared to machine learning. The high end GPU’s reduces the training time. A transfer learning technique is proposed to retrain the network that is capable of performing new recognition task.
A Fuzzy-TOPSIS Method for Optimizing of Forging Problems
Authors:   Research Scholar, Department of Mechanical Engineering, NIT Patna, Mahendru, Patna, Kumar* Dhiraj , Mondal Sharifuddin ,   Asst. Professor, Department of Mechanical Engineering, NIT Patna, Mahendru, Patna
Published: October 2019

Forging industry consists of simple procedural steps, but a lots of problems are associated with the forging industries. This paper describes the major problems in forging industries along with their cause and effect that reduce the extent of profits. An attempt has also been made to apply Fuzzy multi-criteria combined with TOPSIS method in ranking the problems on the basis of various parameters. This approach improves the quality of manufacturing for forging goods, material availability & its price, fuel supply, technology upgradation, material wastage etc. The proposed approach is very useful due to its capability of providing optimal results with incomplete significant information. The study is the first of its type in forging industries. A numerical model is considered to indicate the effectiveness of the present technique.
Influence of Tool Pin Profile and Tool Rotating Speed on Mechanical Properties of Al6082 Alloy
Authors:   Department of Advanced Manufacturing Systems (AMS), VNR Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology, (Hyderabad), India., Goud* A. Madhusudhan , Sivaramakrishna Dr. V. ,   Assistant Professor, Department of Mechanical, VNR Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology, (Hyderabad), India.
Published: October 2019

Friction stir welding is a solid state welding which uses non consumable welding tool. It is an automatic process which generally performs on the vertical milling machine. In this type of welding, the relative motion between the tools and work piece creates heat which uses the region of work piece to be welded get softened and to joint the two work pieces. Friction stir welding process is more reliable for the materials which are generally non heat treatable. In this present investigation it will observe that how the rotational speeds of the tool and different shapes of the tool pins effects the mechanical properties of the aluminium alloy 6082. For this purpose three tools with different profiles, i.e triangular, cylindrical and square was designed and fabricated. At three different rotational speeds of 560 rpm, 900 rpm, 1800 rpm work pieces are joined using vertical milling machine. Specimens are prepared and tested for mechanical properties, tensile, impact, and hardness tests are performed and to detect the defects and voids x-ray test performed on the weld joints. And it was observed that highest tensile strength was presented when the square pin tool used at 560 rpm. The rotational speed increased mechanical properties are reducing significantly.
Iris Authentication For Taas on Cloud
Authors:   Department of ECE, SRMIST, Vadapalani, Chennai India. Email:skarthikvit@gmail.com, Karthik* S. , Priyadarsini K. ,   Department of CSE, VISTAS, Pallavaram, Chennai India.
Published: October 2019

Security in cloud has become an important issue in day to day life. As consumers store all their important data in the cloud there should be a proper security available in cloud. The small sized and medium sized industries need a testing tool which is of high cost for testing their product. These companies utilize the cloud testing tools (Testing as a Service) by saving their product in the cloud which needs to be tested. The level of security is not much higher in cloud since the product information can be easily hacked by the third parties. In this paper, to overcome the issues in authentication and Data protection in Testing as a service –Taas, iris based authentication using cryptography has been proposed.