bluuebunny/crossref_metadata_2025 huggingface dataset:
Pseduocapacitve Properties of CuO/Co3O4 Nanoparticles Synthesized Via Hydrothermal Method
Authors:   Assistant professor of Physics, Academy of Maritime Education and Training, Chennai, India., Maheswari* N. , Nithya R. ,   Research scholar, Department of Physics, Government college of Tecnology, Coimbatore, india., Kalpana S. ,   Associate professor of Physics, Academy of Maritime Education and Training, Chennai, India., Ahamed S. Rafi ,   Associate professor of Physics, Academy of Maritime Education and Training, Chennai, India.
Published: February 2020

This paper discusses results obtained on CuO/Co3O4 nanoparticles synthesized through simple hydrothermal method with aid of the surfactant (Disodium citrate). The morphology and structure of the samples were examined through SEM, XRD and FTIR studies. Electrochemical investigations of the CuO/Co3O4 samples were studied through CV (cyclic voltammetry), (CHDH) charge- discharge and (EIS) impedance analysis by gel electrolyte. Specific capacitance value of 959 F g-1 at a scan rate of 2 mV s-1 was obtained. From EIS analysis, a low RCT value of 1.06 Ω was attained. Based on the electrochemical performance and ease synthesis method indicate that the prepared electrode (CuO/Co3O4) is suitable candidate for supercapacitor applications.
A Brain Computer Interface for Smart Home Control
Authors:   Assistant Professor, Department of Biomedical Engineering, Vels University (VISTAS) Chennai, Tamil Nadu, India., Devaki* V. , Suganya M. ,   Technical Engineer, Episource pvt. Ltd. Chennai. Tamil Nadu, India.
Published: February 2020

A new communication channel called brain computer interface (BCI) which is between the brain of human and a digital computer. Its goal is to restore movements, restoring communication, restoring environmental control for disabled people. The natural communication and control is alternated using this system. The neuromuscular channels which are the efficient pathway of our human body are bypassed by BCI’s artificial system. The varying patterns which are produced due to neural interactions results in the different states of brain. The different patterns of waves having different ranges of frequencies and amplitudes are produced by the patterns of neural interaction which is performed by using multiple neurons. These interactions with the neurons lead to the electrical discharge in smaller ranges. This project deals with brain signals which are sensed by the sensor in the head. These signals are divided into packets of data which are then will be transmitted into a wireless medium such as Bluetooth. The unit which is measuring the brain wave will receive the raw data from the sensor and it is interfaced to microcontroller. The output data from the microcontroller is sent to the operation process in home section such as modules of bulb and fan. Depending on the alpha and theta wave amplitudes, the on, off condition of home appliances is varied. This helps in the easy operation of home electrical appliances for aged people and paralyzed patients. Since smart technologies are becoming very popular in recent times, this kind of application of smart technology in home control finds very useful and helpful.
The Technology for Implementing Networking in Training
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, M.L.* Gruzdeva , Z.V. Smirnova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, E.Yu Malushko ,   Institute of Philology and Intercultural communication, Volgograd State University,, Yurga Lizunkov V.G. ,   Institute of Technologies (affiliated) National Research Tomsk Polytechnic University, Tomsk, Russia,, O.T. Ergunova ,   Department of Integrated Marketing Communications and Branding, Ural Federal University,, A.V. Lebedev ,   Candidate of Economic Sciences, Associate Professor, Department of Tourism Business and Hospitality, Ural State University of Economics
Published: February 2020

The article describes the experience of networking between universities in the development and approbation of modules of the main educational programs in the process of project implementation modernization of teacher education. To implement this project, it was proposed create in the participating universities network teams of changes - a temporary labor collective, in which includes teaching staff of several organizations concluded between a network cooperation agreement. The purpose of creating a network team: changing organizational training process for the possibility of building individual educational student trajectories when using the resources of several educational organizationstion. The article defines the managerial roles, rights and obligations of participants in a network manda changes. The article indicates that the development of educational modules for Ban-educational modules should be carried out in the framework of joint core professions regional educational programs, as well as the criteria for the selection of educational n organizations for the implementation of OPOP in a network form.
Information Technology in The Activities of Service Enterprises
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Zh.V.* Smirnova , M.L. Gruzdeva ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, O.T. Cherney ,   Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation,, E. A. Semahin ,   Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation,, O.V. Katkova ,   Minin Nizhny Novgorod State Pedagogical University (Minin University), Nizhny Novgorod, Russian Federation,
Published: February 2020

The article discusses the process of informatization in the system of activity of service enterprises. The essence of the definition of informatization in the service sector is revealed. The article describes the experience of using an operating level system that supports management operations, monitors elementary actions of an organization such as sales, payments, cash deposits, payroll. The main goal of the system at this level is to answer common questions and conduct transaction flows through the organization. The article indicates that the reform of the methods of managing facilities in the service sector entailed not only a reorganization of the organization of the process of automation of managerial activities, but also the spread of new forms of implementation of this activity.
A Novel Method for Feature Extraction using Color Layout Descriptor (CLD) and Edge histogram Descriptor (EHD)
Authors:   Assistant Professor, KCES’s COEIT, Jalgaon, Vikhar* Pradnya , Rane Kantilal P ,   Professor, KCES’s COEIT, Jalgaon, Chaudharu Bupendra ,   Senior Lecturer, Government Polytechnic, Jalgaon
Published: February 2020

Now days, Image processing finds diversified applications in almost all field of life. The success of any image processing application is depends on proper feature extraction technique. To extract good and proper features is very interesting and challenging task in the development process. It is used to describe the image based on its contents. These extracted features are used to compare, analyse and/or search the analogous images. There are various feature extraction techniques are found in the literature to design various applications. However any image processing application generates images with high dimensionality, which will be results in the low efficiency of an application. This paper provides an approach to extract features from the images using MPEG-7 feature extraction techniques. The approach discussed in the paper uses two popular MPEG-7 visual content descriptors; they are namely Edge Histogram Descriptor (EHD) and Color Layout Descriptor (CLD). The concept results in reduction of dimensions of an image to improve the efficiency of the application. It can be used as a heart to design any image processing application as well as provides strong foundation to develop variety of applications.
Effect and Behavior of Pre Engineered Building with Different Moment Resisting Frames
Authors:   Assistant Professor, Department of Civil Engineering, Centurion University of Technology & Management, Odisha, India., Choudari* Sudheer , Reddy P. Padmanabha ,   Assistant Professor, Department of Civil Engineering, GVP College for Degree and PG Courses, Rushikonda, Visakhapatnam, India.
Published: February 2020

Mechanical improvement throughout the years has contributed monstrously to the upgrade of personal satisfaction through different new items and administrations. One such transformation was the Pre Engineered Buildings. In spite of the way that PEB frameworks are broadly utilized in modern and numerous other non private developments around the world, it is generally another idea in India. When contrasted with different nations Indian codes for building configuration are stringent yet more secure in structure of PEB. The undertaking extraordinarily manages Design and Detailing for Earthquake Loads (Section-12 of IS800:2007). Steel outlines will likewise be structured and point by point to give satisfactory quality, solidness and flexibility to oppose extreme seismic tremors in all zones without breakdown. The undertaking fundamentally manages the examination of edges with and without area 12 burden mixes. Contrasted with the past code for example IS-800:1984, the heaviness of the structures is expanding when planned with the most recent code, IS-800:2007. In this way there is an expansion in cost of the structure. Be that as it may, when watched, the area 12 burden mixes are not administered for a similar structure planned with new code. Henceforth the areas might be diminished by fulfilling the base criteria according to the zone and decline in the cost parameter can be found by sorting the structure through which weight of structure can be decreased.
N-Gram Language Model to Predict the Word Sequence in a Degraded Braille Document
Authors:   Assistant Professor, RNS Institute of Technology, Research scholar, Department of Computer Science and Applications, Bangalore University, Bengaluru, India, Murthy* Vishwanath Venkatesh , K Ravikumar ,   Kalinga Institute of Industrial Management (KIIT), Bhubaneshwar, India, Hanumanthappa M ,   Department of Computer Science and Applications, Bangalore University, Bengaluru, India
Published: February 2020

This paper presents a feature extraction method for optical Braille recognition (OBR) system to locate, extract and convert the Braille cells in one sided Indian language Braille documents. The Braille cells are located by implementing a grid-box designed using physical properties of a Braille cell. A Braille document image is a compilation of group of six dots. The physical position of each dot and its relevance with other neighboring dots in a single cell gives various Braille characters. After the grid-box is mapped with the Braille cells in the document, the mesh characters are extracted and are then mapped with existing database to translate them in required text. Mapping of Braille cells with mesh box and separation of characters and words from a Braille document was a challenging task. The unwanted dots or degraded dots way result in incorrect mapping of characters. In this paper we have used N-gram Language Models to Predict the word Sequence in case of wrong mapping of characters in extraction and conversion of the Braille cells.
A Compact CPW Bandpass Filter using Folded Lines for UWB Applications
Authors:   Department of Electronic and Communication, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP) India., Goyal* Shally , Kushwah Vivek Singh ,   Department of Electronic and Communication, Madhav Institute of Technology and Science,Gwalior (MP) India., Thakare Vandana Vikas ,   Department of Electronic and Communication, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP) India.
Published: February 2020

A compact CPW bandpass filter with asymmetrical folded parallel lines is proposed. Initially a parallel coupled filter is designed at center frequency then for size miniaturization the parallel lines are folded. thenthe filter convert in to CPW configuration to take the advantages of CPW geometry for achieving sharp cutoff characteristics. Total size of the filter is 7.55x7mm.
Flexural Properties of Halloysite Nanotubes (HNTS) and Carbon Nanotubes (CNTS) Toughened Epoxy Composites
Authors:   Composites & Simulation Center (CSC), Universiti Kuala Lumpur (UniKL MIDI), Cheras, Malaysia., Saharudin* Mohd Shahneel , Elias Errachidi ,   Graduate Scool of Engineering, CESI/3M, Calais, France, Sofian El Moussaoui ,   Graduate School of Engineering/PSA Group, Lille, France., Boschi Benjamin Tiouk ,   Graduate School of Engineering/PSA Group, Lille, France., Inam Fawad ,   Graduate School of Engineering/PSA Group, Lille, France.
Published: February 2020

In this research, four different concentrations of halloysite nanotubes and carbon nanotubes (0wt%, 0.2 wt%, 0.5 wt% and 1 wt%) were produced using solution casting method. Both fillers were dispersed using bath sonicator for 10 minutes. Flexural properties, surface roughness and microhardness were studied. The highest flexural modulus and flexural strength were observed in the 0.2 wt% HNTs-epoxy composites, where the maximum values were 36.6% and 82% respectively. The maximum surface roughness was recorded in the case of 0.2 wt% HNTs-epoxy composites. The highest microhardness value was found in the 0.5 wt% HNTs-epoxy composites where the microhardness improved by 80%. The results suggest, HNTs were easily dispersed in epoxy matrix than CNTs, at shorter processing time. From the SEM images, it can be observed that, HNTs significantly changed the microstructure of the nanocomposites, as there were many straight and elevated crack lines, this can be associated with the toughening mechanism offered by the filler. CNTs on the other hand, had influenced on the micro cracks and showed semi-parabolic pattern. However, the flexural properties of CNTs are slightly lower than HNTs because CNTs have strong van der Waals force and as a result very difficult to disperse by simple sonication. HNTs can be utilised as an alternative to CNTs, since the dispersion state is better even though at minimum sonication time.
Estimation and Correction of Sampling Time Offsets in Tiadcs using Optimization Algorithm
Authors:   Electronics & Communication Engineering, Acharya Nagarjuna University, Guntur, India., Chakravarthi* M. V. N. , Chandramohan Dr. Bhuma ,   Electronics & Communication Engineering, Bapatla Engineering College, Bapatla, India.
Published: February 2020

In recent communication technologies, very high sampling rates are required for rf signals particularly for signals coming under ultra high frequency (UHF), super high frequency (SHF) and extremely high frequency (EHF) ranges. The applications include global positioning system (GPS), satellite communication, radar, radio astronomy, 5G mobile phones etc. Such high sampling rates can be accomplished with time-interleaved analog to digital converters (TIADCs). However, sampling time offsets existing in TIADCs produce non-uniform samples. This poses a drawback in the reconstruction of the signal. The current paper addresses this drawback and offers a solution for improved signal reconstruction by estimation and correction of the offsets. A modified differential evolution (MDE) algorithm, which is an optimization algorithm, is used for estimating the sampling time offsets and the estimated offsets are used for correction. The estimation algorithm is implemented on an FPGA board and correction is implemented using MATLAB. The power consumption of FPGA for implementation is 57mW. IO utilization is 27% for 4-channel TIADCs and 13% for 2-channel TIADCs. The algorithm estimated the sampling time offsets precisely. For estimation the algorithm uses a sinusoidal signal as a test signal. Correction is performed with sinusoidal and speech signals as inputs for TIADCs. Performance metrics used for evaluating the algorithm are SNR (signal to noise ratio), SNDR (signal to noise and distortion ratio), SFDR (spurious-free dynamic range) and PSNR (peak signal to noise ratio). A noteworthy improvement is observed in the above mentioned parameters. Results are compared with the existing state of the art algorithms and superiority of the proposed algorithm is verified.
Framework for Access Policy for Boosting Secure Communication at SDN in FIA
Authors:   Assistant Professor, Department of Computer Science & Engineering, BMSIT& M, Bangalore, India, M S* Vidya , Patil Mala C ,   Assistant Professor, Department of Computer Science, COHB University of Horticultural Sciences, Bagalkot, India
Published: February 2020

The future internet architecture is considered as a revolutionary paradigm of network owing to its capability of extensive connectivity of various forms of computing as well as communication devices. For the purpose of establishing a connection, there are various forms of protocols associated with communication defined for network and physical layer. Unfortunately, they are not benchmarked by any authorized regularity. Therefore, these forms of networks are exposed to a significantly higher level of security threats. Cross-Scripting Attack is one such rising security concern for future internet architecture that is found very less investigated in existing times. Hence, in this aspect, the software-defined network could offer a significant security solution on the top of future internet architecture. It could offer a good balance of security and reduced communication overhead as the controller can undertake a decision about the communication route that is cost-effective as well as secured. This paper highlights a discussion about a novel access control protocol that monitors and evaluates all the incoming traffic and offers an identification process for potential threats over the switching mechanism of the software-defined network. The proposed study doesn’t make use of any form of conventional encryption mechanism and uses a middleware system in order to assess the severity of the attack. Upon identification, the adversaries are isolated from the targeted traffic safeguarding the network from a cross-scripting attack.
Seismic Behaviour of Flat Slabs in High Rise Building
Authors:   M.E. Student, Department of Civil Engineering, Chandigarh University, Mohali, Punjab, India., Chaudhary* Niranjan , Verma Nitin ,   Assistant Professor, Department of Civil Engineering, Chandigarh University, Mohali, Punjab, India.
Published: February 2020

In the modern era, the growth of population has influenced the construction of high rise buildings day by day. The construction of the building structures with conventional RC slabs are in the public eye since many decades. Although it has more stiffness and minimizes the large moments occurred due to the applied loads, it does not have the advantages in terms of architectural flexibility, easier formwork and shorter construction period compared to the flat slabs. This developing technique of flat slabs construction improves aesthetical and structural aspect of tall building, offices, hospitals, shopping malls etc. As this is considered to be beamless slab, it has less shear strength and less stiffness compared to the conventional slabs. Due to its huge advantages, it is common in both the construction of regular and irregular buildings nowadays. From Structural engineer’s point of view, the flat slabs should be adopted with other structural component like shear walls and bracings for better results. The main motive of the present work is to compare and observe the seismic behaviour of regular and different configuration of irregular building in zone V by using different types of flat slabs. The considered G+13 storied buildings were analyzed with flat plate, drop panel, column head and combination of column head & drop panel by using E-tabs 17.0.1 software. The nonlinear time history method was carried out to observe the different parameters like storey displacement, storey drift, storey shear, base shear and time period following the guidelines of IS 1893 (Part 1): 2016
Impact of Customer Feedback System using Machine Learning Algorithms for Sentiment Mining
Authors:   Assistant Professor1 Department of Computer Applications, Margregorios College, University of Madras, Chennai, Tamil Nadu, India., Hemalatha* B. , Velmurugan T. ,   PG and Research Department of Computer Science, D. G. Vaishnav College, University of Madras, Chennai. Tamil Nadu, India
Published: February 2020

The process of discovering and analyzing the customer feedback using Natural Language Processing (NLP) is said to be sentiment analysis. Based on the surge over the concept of rating level in sentiment analysis, sentiment is utilized as an attribute for certain aspects or features that get expressed and more attention are provided to the problem of detecting the customer reviews. Despite the wide use and popularity of some methods, a better technique for identifying the polarity of a text data is hard to find. Machine learning has recently attracted attention as an approach for sentiment analysis. This work extends the idea of evaluating the performance of various Machine Learning (ML) classifiers namely logistic regression, Naive Bayes, Support Vector Machine (SVM) and Neural Network (NN).To show their effectiveness in sentiment mining of customer product reviews, the customer feedback has been collected from Grocery and Gourmet Food. Nearly 90 thousands customers feedback reviews of various product related categories namely Product ID, rating, review test, review time reviewer ID and reviewer name are used in this analysis. The performance of the classifiers is measured in terms of accuracy, specificity and sensitivity. From the experimental results, the better machine learning classification algorithm is proposed for sentiment mining using online shopping customer review data.
Document Organization using Naive Bayes Related Classifier
Authors:   Assistant Professor, Department of Computer and Information Science, Annamalai University, Annamalai Nagar, India., Babu* R.Sathish , Nagarajan Dr. R. ,   Assistant Professor, Department of Computer and Information Science, Annamalai University, Annamalai Nagar, India.
Published: February 2020

Document organization is necessary for better utilization of documents. The major problem of organization online documents is so complex because documents should be grouped into its appropriate group during its appearance on the web. Classification is one of the best solutions to organize the documents. Naive Bayes categorization is playing a vital role in document organization. It is one of the simplest probabilistic Bayesian categorization and assumption that the effect of an attribute value on a given category is independent of the values. The document classification is the essential task of organization and necessary for efficient control of textual fact systems. The files may be classified as unconfirmed, supervised and semi supervised methods. In this paper, to review and study of various types of document organization approach using naive Bayesian classification and other related existing document organization methods.
DNS Security - Prevent DNS Cache Poisoning Attack using Blockchain
Authors:   Center of Cyber Security, Amrita University, Coimbatore, India., Bansal* Mukesh Kumar , Sethumadhavan Dr. M. ,   Head of Centre for Cyber Security, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Published: February 2020

The block chain is attaining popularity day to day as it is acting as distributed ledger for Cryptocurrency such as Bitcoin and ripple. This research paper has focused on the Blockchain and its working pattern with technical implementation of block creation. This technical paper is considering the prevention of DNS Cache poisoning attack in Blockchain which is known as larger class of name-based attacks. DNS Packet interceptions may be made using various attacks like Cache poisoning attack, man-in-the-middle attacks etc. As there are numerous security mechanisms to secure the Blockchain but in order to make Blockchain immune from cache poisoning attack, there is need to update the block creation module. Therefore, this research work is proposed to make reduction in probability of data corruption that can be created from different attacks. It resolves the issue of cache poisoning attacks using user defined port instead of predefined port. However, the initialization of transmission is performed here using predefined port number. In second step, the encrypted port number is decrypted to initiate communication using user defined port number. The use of port with IP address would restrict attacks during data transmission. The paper has presented the comparative analysis of existing DNS attacking prevention mechanism to proposed work.
Scrum Challenges: An Agile Process Reengineering in Software Engineering
Authors:   Research Scholar, Computer Science & Engineering, Indus University, Ahmedabad, India., Bhavsar* Krunal , Shah Dr. Vrutik ,   Research Guide, Computer Science & Engineering, Indus University, Ahmedabad, India., Gopalan Dr. Samir ,   Research Co-Guide, Business Administration & Management, Indus University, Ahmedabad, India.
Published: February 2020

Business Process Reengineering (BPR) is an organizational strategy seeking identification of critical factors affecting software development practices in Software Engineering Management (SEM). The agile approaches opened the door of BPR in software development organizations. Dynamically changing technological environment has invited software development organizations, towards adoption of reengineering of strategies and practices. Nowadays, Scrum has been trending as an agile framework for Software Engineering Management (SEM) in software development organizations but considerable research work has not been done with Scrum and its successful implementation yet. The goal of this research is to highlight weaknesses and limitations of Scrum like project level documentation, planning, estimation, progress tracker, CICD etc.; and identification of challenges and issues with implementation of Scrum in software project development like large scaled project in distributed work environment with multiple Scrum teams, organizational structure, lack of knowledge ad awareness about Scrum; using empirical analysis and literature studies. The result of this research will open the door for the next stage of research to overcome the limitation and issues with implementation of Scrum and raise a request of BPR towards focus on improvement in SEM practices in software development organizations by proposing proper training about the empiricism control theory of Scrum that helps organizations in understanding the successful implementation of Scrum and its benefits. This research also raises a question in the form of suggestion that it is good time for a hybrid form of Scrum with other standard agile based frameworks or traditional SDLC methodologies.
Analysis of Teeline Shorthand Recognition using Machine Learning and Deep Learning Techniques.
Authors:   Department of Computer Science and Engineering Government Engineering College, Devagiri, Haveri, India, Mr. Shivaprakash*  , Burkpalli Dr. Vishwanath C ,   Department of Information Science and Engineering P.D.A. College of Engineering Gulbarga, India, Anami Dr. B. S. ,   Principal, K.L.E. Institute of Technology Hubli, India
Published: February 2020

In order to take notes of the speech delivered by the VIPs in the short time short hand language is employed. Mainly there are two shorthand languages namely Pitman and Teeline. An automatic shorthand language recognition system is essential in order to make use of the handheld devices for speedy conversion to the original text. The paper addresses and compares the recognition of the Teeline alphabets using the Machine learning (SVM and KNN) and deep learning (CNN) techniques. The dataset has been prepared using the digital pen and the same is processed and stored using the android application. The prepared dataset is fed to the proposed system and accuracy of recognition is compared. Deep learning technique gave higher accuracy compared to machine learning techniques. MATLAB 2018b platform is used for implementation of the experimental setup.
Implementation of Adaptive Algorithm to Optimize the Placement of Wavelength Converters
Authors:   Assistant Professor, Telecommunication Department, Dr.Ambedkar Institute of Technology, Bangalore, India., P C* Shruthi , T S Indumathi ,   Professor, Digital Electronics & Communication Systems, Department of PG studies, VTU, Bangalore region, India.
Published: February 2020

The Wavelength Converters in WDM Optical Network, is one the essential component in today’s advanced research, but at the same time they are very expensive and it should be used in limited number to make effective use of Wavelength Converters. The two main criteria to be achieved is to reduce the overall blocking probability at an affordable cost and the other performance measures are within reasonable limits. To equip the node with the Wavelength converter for any network is crucial. There should be a minimal blocking probability at those particular nodes chosen to place the Wavelength Converter. A large margin decrease in the blocking probability will be easy for the placement of Wavelength Converter. Compared with the previous method of allocation, the results of the proposed adaptive algorithm can significantly reduce the blocking probability at higher range. The implementation of Adaptive algorithm shows that it is more cost effective to optimize the blocking performance. The blocking performance improvement hence led to the comparison of performance and efficiency other conventional methods with the proposed Adaptive algorithm is done.
Real Time Face Recognition and Tracking System with Multi-Camera Arrangement
Authors:   Professor, KCES’s COEIT, Jalgaon, Rane* Kantilal P
Published: February 2020

Object tracking and face reorganization has received tremendous attention in the video processing community due to its various applications in video surveillance, traffic monitoring and so on. A single camera is not capable to scan 3d view of specified space. So, we use multiple cameras, placed in different sections of the area with overlapping region in field of view (FOV). Every camera will capture the video scene of itself FOV. The system is able to track human successfully by setting up correspondence between objects captured in multiple cameras. Thus, it saves the hectic job of manual tracking. There is a search window available for each object that gives the object’s trajectory. Tracking of object will be given by continuation of this process. For monitoring objects in areas like car parking, banks, hotels etc for security purpose, this system is best. Over the last couple of years, many algorithms and results have been presented for the problem of object tracking and recently the focus has been concentrated on real time person tracking with multiple cameras. Secondly, face detection is one of the best ways of identification. The main applications of automated face recognition are of biometric authentications and surveillances. Face recognition systems has became popular in biometric field as it is non intrusive and does not require the human interference. Up to that, there is no solution or technique that provides robust methods. This paper presents the detection of the face of the person, recognize and do tracking with use of multiple web cameras. Generally in daily camera security systems, cameras have been continuously remain on and large data storage is required in the system. In this real time object tracking system, Infrared sensors are used which indicates presence of person or object. Cameras will turn on only when object is detected by sensor after then the face recognition is carried out. It has capability of high speed processing and achieved low computational requirements. In similar areas, efficiency, accuracy, and speed of identification are the main tackled issues.
Pneumonia Classification using Deep Learning in Healthcare
Authors:   Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology, Gorakhpur, India., Verma* Garima , Prakash Shiva ,   Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Published: February 2020

There is a great growing interest in the domain of deep learning techniques for identifying and classifying images with various datasets. An enormous availability of datasets (e.g. ChestX-Ray14 dataset) has developed a keen interest in deep learning. Pneumonia is a disease that is caused by various bacteria, virus etc. X-ray is one of the major diagnosis tools for diagnosing pneumonia. This research work mainly proposes a convolutional neural system (CNN) model prepared without any preparation to group and identify the occurrence of pneumonia disease from a given assortment of chest X-ray image tests. Dissimilar to different strategies that depend exclusively on more learning draws near or conventional carefully assembled systems to accomplish an amazing grouping execution, and developed a convolutional neural arrange model without any preparation to separate and character the images to decide whether an individual is suffering with pneumonia. This model could help alleviate the dependability and difficult challenges frequently confronted to manage therapeutic problems. In this paper, CNN algorithm has been used along with different data augmentation techniques for improving the classification accuracies which has been discussed to increase the performance which will help in improving the validation and training accuracies and characterization of exactness of the CNN model and accomplished various results. This experiment was carried out using python language and has shown improved outcomes.
Design of the Competence Model for Staff Demanded by PSEDA Industrial Enterprises
Authors:   Candidate of Pedagogical Sciences, Associate Professor, Yurga Institute of Technology (Branch) of National Research Tomsk Polytechnic University, Department of Digital Technology, V. G. Lizunkov , E. Yu.* Malushko ,   Candidate of Pedagogical Sciences, Associate Professor, Institute of Philology and Intercultural communication, Volgograd State University, E. V. Politsinskaya ,   master student, National Research Tomsk Polytechnic University, Department of Digital Technology., O. T. Ergunova ,   Candidate of Economic Sciences, Head of the Department of Tourism Business and Hospitality of the Ural State Economic University; Associate Professor, Department of Integrated Marketing Communications and Branding, Ural Federal University B.N. Yeltsin
Published: February 2020

The article proposes to consider the scheme of the competence model of staff demanded by PSEDA industrial enterprises (located in the territories of priority social and economic development - PSEDA). It identifies a need for a new type of personnel, presents an attempt to build a competence model of a specialist, which contributes to defining a refined list of competencies for a new type of specialist demanded by PSEDA enterprises. The complex of “significant” competencies, confirming the uniqueness of the professional activity of specific PSEDA team, should be applied to conducting various personnel procedures that evaluate professionalism and to designing programs for professional instruction offered to PSEDA personnel [9]. The proposed solution involves the implementation of a two-circuit model, which clearly defines the sequence of stages to design and evaluate the quality of educational programs, as well as establishes the relationship between the internal processes of quality assurance of training and the external environment.
A Reduced Model for Microbial Electrolysis Cells
Authors:   The British University in Egypt, Faculty of Engineering, Department of Chemical Engineering, El Shorouk City, Aboelela Dina , Soliman* Moustafa Aly ,   The British University in Egypt, Faculty of Engineering, Department of Chemical Engineering, El Shorouk City, Cairo 11837, Egypt., Ashour Ibrahim ,   Minia University, Faculty of Engineering, Department of Chemical Engineering, Minia 61519, Egypt.
Published: February 2020

Microbial electrolysis cells (MECs) are breakthrough technology of cheap hydrogen production with high efficiency. In this paper differential-algebraic equation (DAE) model of a MEC with an algebraic constraint on current was studied, simulated and validated by implementing the model on continuous-flow MECs. Then sensitivity analysis for the system was effectuated. Parameters which have the predominating influence on the current density and hydrogen production rate were defined. This sensitivity analysis was utilized in modeling and validation of the batch-cycle of MEC. After that parameters which have less influence on MEC were eliminated and simplified reduced model was obtained and validated. Finally, MEC energy productivity was maximized by optimization of operating conditions.
Simulation of Energy Efficient Clustering Technique in a Gaussian Network
Authors:   HOD / MCA, Department of Computer Applications, Francis Xavier Engineering College, Tirunelveli, Ranjithamani* Mrs. D. Angeline , Luther Mrs. J. Abalin ,   AP /MCA, Department of Computer Applications, Francis Xavier Engineering College, Tirunelveli, Mary Mrs. S. Jasmine ,   AP /MCA, Department of Computer Applications, Francis Xavier Engineering College, Tirunelveli
Published: February 2020

In Wireless sensor network (WSN) the sensor nodes are randomly distributed in the network. As the sensor nodes are adhoc in nature the geographical location must be assessed earlier and for data transmission. Maintenance of the energy level in each sensor node is very challengeable. In this paper a Gaussian network is deployed with four virtual grids and cluster head is obtained using the Gaussian integer. The traditional DSDV protocol is modified and simulated in Network Simulator. The energy efficiency of modified DSDV with regard to increase in number of nodes in compared with traditional AODV protocol and found a better performance of the modified DSDV protocol.
Role of IoT devices in Flood Monitoring System using Social Networking Sites
Authors:   Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India, Goyal* Himanshu Rai , Ghanshala Kamal Kumar ,   Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India., Sharma Sachin ,   Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India.
Published: February 2020

Each country has a natural disaster, but catastrophe losses can't be avoided. The loss of human life, damage to the environment, infrastructure degradation, etc. Which in turn affects the country's development facing the disaster's wrath? In this analysis, we discuss the various methods available in the literature to reduce the losses in flood-related natural disasters. There are four major steps in the prevention of disaster losses, including preparedness, response, recovery and mitigation. Existing methods that address the above steps and all the current methods have certain limitations and are therefore not all sufficient to minimize losses due to flooding. In order to overcome all the deficiencies in the exit method, we propose an IoT devices based algorithm to get the number of victims and survivors due to flood and reduce the flood losses model using social networking sites.
A Novel System Design for Prognosis on Breast Cancer using Machine Learning Algorithms
Authors:   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India., D.V* Soundari , Karthick Dr. S. ,   Professor/ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamil nadu, India., Fathima .B Anish ,   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India., Kumar J.R Dinesh ,   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India., K Priyadharsini ,   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India.
Published: February 2020

Cancer is the term used to describe a class of disease in which abnormal cells divide uncontrolledly and invade body tissues. There are more than 100 unique types of cancer. Breast cancer is one of the women's deadly disease. The prediction is done at the earlier stage and the results are accurate, the number of death per year can be reduced. So ultimately a new approach is needed to predict the level of cancer at the early stage which shows accurate results on prediction level. Hence Machine learning algorithms are used to predict the level of accuracy. Henceforth this paper analyze the different machine learning algorithm to predict the best levels of cancer and comparative statement was made about accuracy and the results showing SVM is more accurate.
Design of PMOS and NMOS Input Folded Cascode Amplifier using 180nm SCL Technology Node for Low Power Application
Authors:   Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Guwahati, India, Kalita* Deepjyoti
Published: February 2020

This paper presents the details design and simulation of the Folded Cascode amplifier using Source-Coupled-Logic (SCL) technology node for both the P-Type Metal Oxide Semiconductor (PMOS) and N-Type Metal Oxide Semiconductor (NMOS) input. The different way to implement the circuit design for a given specification has clearly described including all the design equation has been presented. All the parameter like open loop gain, Unity Gain Bandwidth (UGB) and Phase Margin (PM) are compared for both the NMOS and PMOS input fully differential folded cascode op-amp circuit are discussed and finally we have got after performance analysis that NMOS input fully differential folded cascode op-amp is the best choice for low power high speed application like in pipeline Analog to Digital (ADC). The circuit has been simulated using cadence virtuoso tool in 0.18μm SCL technology node.
Staked T Lines Integrated Circular Microstrip Tri-band Wearable Antenna for GSM, ISM and NATO Applications
Authors:   Department of ECE, Sri Sairam Engineering College, Chennai, India., Rajini* A. R. , Mouniga J. ,   System Engineer, Tata Consultancy Services (TCS), Chennai, India, Henridass Dr A. ,   Department of ECE, Sri Sairam Engineering College, Chennai, India.
Published: February 2020

Antenna designed with fabrics as dielectric substrate find applications in health monitoring systems, fire-fighting, rescue operations, space, navigation and military personal communications. The aim of this paper is to design a flexible, microstrip antennas that will be mechanically robust and light weight. This type of antenna will find applications in Global System for Mobile communication (GSM), Wireless Fidelity (Wi-Fi) and North Atlantic Treaty Organization (NATO) bands. A tri – band microstrip antenna is designed and constructed with woolen felt as substrate. The dielectric constant of woolen substrate is 1.45, The thickness of the substrate is 1.588 mm. The gain and axial ratio are stable when bent and in presence of moisture. Also the operating band is compliant with specifications. The operating frequencies are 1800MHz (GSM), 3.5GHz (Wi-Fi) and 4-5GHz (NATO). The simulated result of S11 is measured as for all three bands are -13.399dB, -35.114dB and -36.254dB respectively. The tri-band wearable antenna is verified and validated using network analyzer. The testing of triband antenna also involves the calculation of Specific Absorption Rate (SAR) under the standards of IEEE and ICNIRP. The antennas with fabric as substrate allow hands free operation, comfortable and are also economically feasible.
Avoiding Complex and Nonlinear Behaviour of Multilevel Power Inverter
Authors:   Electrical & Electronics Engg. Department, SRMSCET, Bareilly, India, Kumar* Sanjeev , Kumar Anil ,   Electrical Engg. Department, IFTM University, Moradabad, India, Kumar Piush ,   Electrical Engg. Department, FIET, Bareilly, India.
Published: February 2020

In the present scenario to meet out the goal, recent technology of multilevel inverter has introduced which helps to provide a very useful alternative in the field of huge power and a moderate range of voltage applications. Under this work, an attempt has been made to study the complex nature due to nonlinearities and chaos in cascaded multilevel dc to the ac converter system. Nonlinear behavior phenomena are observed in three-phase inverter and cascaded multilevel H-bridge inverter using Matlab / Simulink software package. By various observations, it is reported that the dc to ac converter shifted their position from a stable operating condition to unstable operating conditions as the bifurcation parameter like load varied for the power inverter system. Simulation results obtained through software Matlab / Simulink demonstrate output voltage and current waveform of inverter along with its FFT spectrum. This study for getting information about the nonlinear behavior of power multilevel inverter system is playing a very vital role in designing and fabrication of practical circuits in the power electronics field.
A Steganographic Method with an Overlapping of Three Pixel Block of Image
Authors:   Research Scholar, KIIT University, Orissa, India, Majumder* Jayeeta , Pradhan Chittaranjan ,   Associate Professor, CSE Department, KIIT University, Orissa, India.
Published: February 2020

In this paper a new image steganographic technique has been proposed which is capable of hiding data and produces a stego image that is totally indistinguishable from the original image by the human eye. To estimate the contrast and smoothness of pixels we check the relation between neighboring pixels. Our method first arranges the pixel in ascending manner, then takes the highest pixel value common with the other two pixels and then applies the pixel value differencing (PVD) method. To hide the secret data PVD technique is used in each pixel block. The two overlapping blocks are readjusted to attain the modified three-pixel components. Then calculate the new stego pixel block. In this way, take the middle and lowest pixel as the common pixel and apply the same procedure. In comparison, we get that if the highest value pixel value takes as a common one then the data hiding capacity is increased. The embedding capacity of the cover image is increased by using the pixel block overlapping mechanism. It has been tested on a set of images and also maintains the visual quality of the image.