bluuebunny/crossref_metadata_2025 huggingface dataset:
Employee commitment and organizational performance in selected fast food outlets in Osun State
Authors: Ulabor Ehimen Abiodun , Bosede Agelebe Ibiwunmi
Published: August 2019

Purpose: This study examined the effect of employee commitment on organization performance of selected fast food outlets in Osun State. It determined how employee commitment affects staff turnover and also examined factors that affect employee commitment

Research Methodology: Primary data was used for this study; respondents were selected using convenient sampling method from the study area. Questionnaire was used to gather information. One hundred copies of questionnaire were administered to the selected respondents and ninety-six were retrieved and found useful for analysis. The data gathered were analysed using both descriptive and inferential statistics.

Results: Findings revealed that employee commitment is significant to organization performance. Profitability, increased in sales, and increased in customers’ patronage were used to measure organizational performance, and it was observed that employee commitment influence profitability; increased in sales, customers’ patronage. It was observed that employee commitment affects staff turnover as revealed by the chi-square statistic (χ2 =). Likewise, findings showed that employee commitment could be affected by some factors such as gender, nature of work, length of service, and management style, Although, length of service and management style were not significant at 5% significance level. The study concluded that an employee commitment can influence the organization performance.

Keywords: Employee commitment, Organization performance, Staff turnover
A Research on Functional Judgement of Soft Union Ring
Authors:   mallareddy college of engineering for women, Hyderabad, Telangana, India., Saroja Y. , Shirisha P. ,   mallareddy college of engineering for women, Hyderabad, Telangana, India
Published: August 2019

The clarification behind the paper is to set up a structure for giving a delicate logarithmic gadget in considering different issues that contain vulnerabilities. So as to give these touchy real structures, the likelihood of ( , )- dubious affiliation rings which is a hypothesis of that of precarious alliance rings is proposed. In this paper, delicate affiliation ring (SU-ring) on a dubious set is depicted by utilizing alliance activity of sets. This new idea demonstrates how a delicate set repercussions for a ring structure in the mean of affiliation and breaker of sets and from this chart, it fills in as a development among unsteady set theory, set theory and ring speculation. Also, we present the likelihood of fuzzy delicate rings (feelings) and concentrate a touch of their properties and associate characteristics. At long last, we portray fuzzy touchy most remote point and fuzzy delicate ring homomorphism, and after that give hypothesis of homomorphism picture and homomorphism pre-picture of a fuzzy touchy set under a fuzzy touchy farthest point.
Experiment on GTAW of AL 6061-T6 Material With SUS 304
Authors:   Associate Professor, Department of Mechanical Engineering, St. Martin’s Engineering College, Hyderabad, Telangana, India., Rao K. Nageswara , Kumar B. V. R. Ravi ,   Professor, Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India., Naik M. T. ,   Professor, Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, Telangana, India.
Published: August 2019

GTAW well known as tungsten inert gas welding (TIG) commonly used to join thin sections of non-ferrous metals like magnesium, copper and aluminium alloys. Allowing for stronger, higher quality welds the welding operator need great control on welding process. Because of short arc length, contact gap of filler electrode have to be maintain in a even way to maintain equal speed and depositing methods. Present work focuses on the TIG welding process and microstructure analysis of flaws in welding; also evaluate the mechanical properties of welded joints. The samples prepared as per ASTM weld samples, the extracted samples tested for microstructure, penetration and other mechanical tests. The results are showing good at the area of weld.
Fuzzy Logic Controlled AC to AC Converter FED Three Phase P.M.S.M Drive
Authors:   Research Scholar, EEE Department, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai., Kavitha G. , Shuaib Y. Mohamed ,   Associate Professor, EEE Department, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai.
Published: August 2019

The study demonstrates the simulation of distinct strategies of control applicable for an AC-AC Boost-converter based on a p.m.s.mdrive for industrial automation and traction. A non varying voltage feeding a circuit of inverter with an implementation following a strategy of voltage based control, which takes into consideration of speed (mechanical) of the motor. This strategy is observed to control the voltage output of a converter on AC-DC.At the input side a boost converter is connect which incorporates an open as well as closed loop control. The controllers utilised for such conversion are PI and FLC. A VSIPMSM is modelled, simulated using a MAT Lab tool and the outcomes are compared to check the performance of both the controllers. Results predicts that there is an enhanced dynamic response in addition to an increased voltage gain for an FLC based Boost converter control rather than a PI based boost converter control.
Development of a Suitable Plant Layout using Computerised Relative Allocation of Facility Techniques
Authors:   Department of Mechanical Engineering, College of Engineering and Technology, Bhubaneswar, Mallick Priyaranjan , Muduli Kamalakanta ,   Department of Mechanical Engineering, Papua New Guinea University of Technology., Biswal Jitendra Narayan ,   Department of Mechanical Engineering, DRIEMS, Odisha, India., Pumwa John ,   Department of Mechanical Engineering, Papua New Guinea University of Technology., Oyekola Peter ,   Department of Mechanical Engineering, Papua New Guinea University of Technology.
Published: August 2019

In contemporary technological developed scenario, the distinctive manufacturing industry involves large number of diversified accomplishments such as administration office, design office, sales & marketing office, production or manufacturing shops, inspection and assembly departments, and security office etc., organized as a unit with essential communication amenities. The ultimate goal of facility plan or layout problem is to reduce the cost of material flow by locating the office and departments within specified location. In this paper, the layout of a casting industry has been designed by means of Computerized Relative Allocation of Facilities Technique (CRAFT). The results shows that a reduction of 34.9% in the total distance travelled could be achieved with the new layout design that was developed using CRAFT algorithm.
Performance Evaluation of MPPT in a PVG with conventional and Intelligent Controllers under STC and DTC
Authors:   Ph.D. Research Scholar, JNTUA College of Engineering, Anantapuram., Babu P. Chandra , Prasanth B. Venkata ,   Principal & Professor, Dept. of EEE, Jagans College of Engineering & Technology, Nellore, Andhra Pradesh., Sujatha P. ,   Professor, Dept. of EEE, JNTUA College of Engineering, Anantapuram.
Published: August 2019

Maximum power point tracking (MPPT) is an essential factor to consider in photovoltaic or PV systems. Solar PV generation (PVG) systems present variable nonlinear current-voltage (I- V) as well as power- voltage (P- V) attributes, which vary with environmental problems. The optimum utilization of a PV system takes place when the system runs at the MPP in all ecological conditions. Key ecological conditions consist of the irradiance on the cell, temperature level of the cell and also any type of shading. Shading can take place because of dirt, objects and also component inequality occurring from cells damage, these leads again nonlinearity qualities in the system. In this paper gives an efficiency analysis (comparative analysis) of well-known standard MPPT algorithms-perturb-and-observe (P&O), incremental conductance (INC), improvised incremental conductance (IINC) with intelligent MPPT Fuzzy logic controller (FLC) under STC and DTC. The performance comprises efficiency of PVG, rise time, accuracy, design complexity and some more, algorithms with mathematical equations additionally reviewed. The design of PVG in standalone operation with different MPPT's are done in MATLAB/SIMULINK workspace. This paper is prepared as if future scientists, as well as designers, can choose a suitable MPPT strategy without issue.
Design of Smoothing FOPID Sliding Mode Controlled Robotic Manipulator for Robotic-Assisted Surgery
Authors:   Electrical Department, Maulana Azad National Institute of Technology, Bhopal, India., Sachan Shailu , Swarnkar Pankaj ,   Electrical Department, Maulana Azad National Institute of Technology, Bhopal, India., Nema Savita ,   Electrical Department, Maulana Azad National Institute of Technology, Bhopal, India.
Published: August 2019

Robotic-assisted surgery (RAS) is a mode of technical advancement in the medical field that utilizes robotic articulation to aid surgeries. The fine-motion and precise control of robotic manipulator is prerequisite in surgical applications. In this paper, the improved control methodology for controlling the 3DOF (degree of freedom) robotic manipulator’s motion named as smoothing fractional order proportional integral derivative-sliding mode control (FOPID-SMC) for the attainment of finest results by eliminating the perturbations has been showcased. The performance of smoothing FOPID-SMC controller in robotic manipulator is compared with the conventional SMC controllers. The simulation results prominently illustrate the efficacy of the proposed methodology, and superior tracking and robust performance with alleviated chattering compared to the classical methodologies.
Acetylene an Potential Alternative Fuel for Stationary Diesel Engine
Authors:   Department of Mechanical Engineering, K L Deemed to be University, Green fields Vaddeshwaram, India., Koli Somnath Rajaram , Rao Y V Hanumantha ,   Department of Mechanical Engineering, K L Deemed to be University, Green fields Vaddeshwaram, India.
Published: August 2019

The present study focuses on incorporation of alternative fuels along with existing internal combustion engines (ICE) without making major modifications. Acetylene has good combustion qualities with auto ignition temperature of 3050C. To increase the use of acetylene as non-petroleum gas in ICE, we carried experimentation on a single cylinder constant speed diesel engine. In this study, direct injection (DI) and constant speed compression ignition (CI) engine tested with pure diesel and diesel-acetylene dual fuel mode. We conducted experiments to study the performance characteristics of DI diesel engine in dual fuel mode by aspirating acetylene gas in the inlet manifold with a flow rate of 2 liters/minute (lpm) of acetylene. Observation recorded that, during idling condition to get the same power output when aspirated with the 2 lpm acetylene, 3.5% less amount of diesel required. For maximum load 9% less amount of diesel required. And 12% less amount of diesel required during partial loading condition. Also, the performance shows increased trend in indicated power and brake power by 1-2%. It was also observed that use of acetylene gas has more influence on emission of CO2. Emission results showed that without a catalytic convertor, 8% decreased amount of CO2 released during idling condition. Similar emission results of engine found during full load condition when acetylene used along with diesel, supporting the health of environment for reduction of global warming.
A Research on Credit Card Fraudulent Detection System
Authors:   Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysuru, India., S P Devika , K S Nisarga ,   Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysuru, India., Rao Gagana P ,   Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysuru, India., S B Chandini ,   Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysuru, India., N Rajkumar ,   Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
Published: August 2019

Nowadays credit card is more popular among the private and public employees. By using the credit card, the users purchase the consumable durable products in online, also transferring the amount from one account to other. The fraudster is detecting the details of the behavior user transaction and doing the illegal activities with the card by phishing, Trojan virus, etc. The fraudulent may threaten the users on their sensitive information. In this paper, we have discussed various methods of detecting and controlling the fraudulent activities. This will be helpful to improve the security for card transaction in future.
Experimental Testing of Thermo Physical Properties of Novel Water and Glycerol Mixture-Based Silica Nano Fluids
Authors:   Resarch Scholar, Center for Energy Studies, JNTUH College of Engineering, Hyderabad, India., Prrasad T. Rajendra , Krishna K. Rama ,   Department of Mechanical Engineering, KLEF, Vaddeswaram, India., Sharma K. V. ,   Center for Energy Studies, JNTUH College of Engineering, Hyderabad, India.
Published: August 2019

The main objectives of the present work embrace the preparation of cobalt nanofluids, amalgamation of silica nanofluid with optimum glycerol-water (G-W) mixture ratio and estimation of its thermal properties like thermal conductivity and viscosity experimentally. Optimum ratio of base liquid (G-W mixture) was selected for the preparation of nanofluids. Subsequently, thermophysical properties of the hybrid nano mixture have been determined experimentally using KD2Pro thermal properties analyzer and Brookfield viscometer at different volume concentrations of silica nanofluids. Attained results reveal that, the dynamic viscosity and thermal conductivity are found to be growing remarkably with the increase in nanoparticle weight concentration in base liquid mixture. The results are found to be in good agreement with the available data from the literature.
An Experimental Development on Properties of Concrete with GGBS in Addition with Alkaline Solution of Sodium Hydroxide and Sodium Silicate
Authors:   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Lakshmi S Veera , Naidu Divya Anusha ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Venkateswarlu Dr. Dumpa ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India.
Published: August 2019

Becoming modern waste have discovered the need to transfer of mechanical waste, The waste that must be arranged would two be able to be spared to use in some way, among the two modern waste preparing cementatious nature substances can be supplanted as folio include number in cement to separated. Ground Granulated Blast Furnaces Slag (GGBS) which used to be squander from an iron assembling industry, which used to be utilized as substitute of bond in cement because of its characteristic solidifying properties. To increase the strength of the concrete some of the special cements are used. Due to various codal specifications the binding material replacements of GGBS have been restricted up to 80% in maximum. In this project replacement of GGBS is done by an amount of 10% ,20% ,30% and 40%. In accordance with above restrictions the replacement variations in binding material have been decoded in a high strength concrete mixture. The research work have been extensively executed in almost all areas of testing like compressive strength , spilt tensile strength, and flexural strength, and also various primary tests like specific gravity , granular gradation etc. have also been excited to achieve high strength concrete.
Experimental Developments on Corrosion Resistivity of Low Calcium Fly Ash-Based Geopolymer Concrete
Authors:   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., S G Rambabu , Naidu Divya Anusha ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Venkateswarlu Dr. Dumpa ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India.
Published: August 2019

Portland cement production is an main component in making of “concrete, which contributes significant amount of greenhouse gas, because in the process of production of Portland cement also releases about one ton of carbon dioxide gas into the atmosphere. Therefore, the introduction of a novel binder called ‘geopolymer’ by Davidovits promises a good prospect for application in the concrete industry as an alternative binder to Portland cement”. In terms of reducing global warming, the technology based on geo-polymer could reduce the C02 emission to the atmosphere caused by aggregates and cement industries by 80%.Fly ash-based geopolymer concrete “manufactured using fly ash as its source material and does not use Portland cement at all. Not only fly ash, alkaline solution is being utilized to make geopolymer paste which binds the aggregates to form geopolymer concrete. The geopolymer concrete possess excellent mechanical characteristics and better durability characteristics like permeability, resistance against sulphate and acids.” In reinforcement the corrosion is the single most common source of damage and it is usually clear that lack of concrete, inadequate cover to the reinforcement or the available impurities (and sometimes all three) is the prime cause. In the present work, Open Circuit Potential(OCP) method was able to determine the corrosion activity in the reinforced beams. The effect of corrosion on the tensile behavior of reinforcement under different rates of corrosion was compared. The test results reveals that the Geopolymer concrete performs superior to OPC concrete.
Deeper Insight of Various Full-Adder Designs with Various Techniques and Technology
Authors:   Electronics and Communication, Indira Gandhi Delhi Technical University for women, Delhi, India., Singh Preeti , Sharma Dr Shobha ,   Faculty, Electronics and Communication, Indira Gandhi Delhi Technical University for women, Delhi, Singh Ashish ,   Electronics and communication, RJIT, BSF Academy, India.
Published: August 2019

In this paper various type of full adder circuits with high speed operation have been analyzed. Power Consumption, Speed and Area are important factors of the design aspect of full adder circuit. Many researchers have worked on full adder designs using various technologies. Present paper deals with literature analysis based on full adder designs.
Classification of Gene Expression Data with Optimized Feature Selection
Authors:   Assistant Professor, Department of Computer Science & Engineering ,Sri Sairam Institute of Technology Chennai, India, Ragunthar T. , Selvakumar S. ,   Professor, Department of Computer Science & Engineering ,GKM College of Engineering & Technology, Chennai, India
Published: August 2019

There are different types of fatal diseases that could possibly outspread to various parts of the body. It thus becomes obligatory to predict the existence of such anomalies, in order to prune the extent of their spread. Examining the characteristics of genes provides a deep intuition about the disease classification, as they play a vital role in influencing how an organism appears, behaves and survives in an environment. The detection of the abnormal genes could be efficiently modelled using statistical methods and machine learning approaches. Gene expression data derived from a microarray could act as an aid for this statistical computation. Microarray being a recent leap in molecular biology, provides a scope for hybridization of DNA samples that can be interpreted as values based on the gene expression level that the genome possesses. We propose an idea to select a subset of features from the huge number of samples retrieved from the gene expression profiles using Boruta feature selection algorithm. A comparative study with various supervised classification algorithms is made to categorize this subset to a normal and deviant gene. This serves to discover the most appropriate algorithm to classify the gene expression data. Hence assorting the abnormal genes in future could be accelerated with ease.
Exploration of Hybrid Materials for a Propeller Shaft in Aerospace Applications
Authors:   Mechanical Engineering Department, Basaveshwara Engineering College, Bagalkot, Karnataka, India., Shivanand  , Kerur Dr. Shravankumar B. ,   Mechanical Engineering Department, Basaveshwara Engineering College, Bagalkot, Karnataka, India
Published: August 2019

This paper is a comprehensive analysis of the different composite materials that can withstand the maximum load to be used in shaft instead of the conventional steel which is currently in use. The research focuses on developing a laminated composite propeller shaft for a two-seater aircraft that can withstand maximum load with least deflection. The mathematical model for the shaft of the two-seater aircraft is developed using classical laminate theory. The in-plane forces concerning the applied torque, the strain and stress relations are evaluated for the laminated shaft which is exposed to the in-plane forces. The code is developed in Matlab for the analysis. The results obtained from the Matlab are analysed and the analysis determines that the hybrid material consisting of low carbon steel, epoxy, S glass and T700 fibres is the best suitable for the propeller shaft to withstand maximum load with the least deflection. The orientation angle is considered to be 45 degrees.
Routing Protocol using Fuzzy Logic for Vehicular Ad-Hoc Networks
Authors:   Dept.,of CSE, BGSIT, ACU, BG Nagar, Mandya, India., BS Siddhartha , Kumar B R Sunil ,   Dept., of CSE, BGSIT, ACU, B G Nagar, Mandya, India., K Arpitha ,   Dept., of CSE, BGSIT, ACU, B G Nagar, Mandya, India., S N Shwetha ,   Dept., of CSE, BGSIT, ACU, B G Nagar, Mandya, India.
Published: August 2019

An ad hoc network is a set of wireless mobile hosts which form a provisional network without the help or central administration of an existing infrastructure. An Ad Hoc vehicle network (VANET) utilizes shifting cars as portable network servers are created. Each involved unit becomes a mobile router with a VANET. The technique of networking of VANET is fast and versatile investments of equipment and VANET will not be restricted by set topology. A big number of road based implementation of portable apps ranging from the dissemination of vehicle warning and vibrant path scheduling to the promotion of context and file sharing are anticipated to assist VANET. The primary issues are: routing, broadcasting, service quality (QoS), collision avoidance, traffic optimization, network management, low error tolerance, security. The most important issues are: The design of an effective VANET routing protocol is very difficult; a relatively more stable routings must be established by the routing protocol. A range of road protocols was developed to deal with the problem of routing. Several protocols do not influence the stream of vehicles through the longest track between the origin and the target. VANET routing protocols efficiency is dependent on different parameters, such as mobility model, operating atmosphere, and many more. Fuzzy logic has been used in the protocol planning studies for wireless Ad Hoc networks, given that it is nice to choose the highest secure path from the notion of the fuzzy sets. In the draft job fuse oriented routing protocol the car lifetime, car number of cars travelling along the same lines and the distance between the stubble regarded three significant considerations for track choice are taken into consideration.
Deep Neural Network for Multi-Class Prediction of Student Performance in Educational Data
Authors:   Computer Science and Engineering, Annamalai University, Chidambaram, India,, Vijayalakshmi V. , Venkatachalapathy K. ,   Division of Computer and Information Science, Annamalai University, Chidambaram, India.
Published: August 2019

Prediction of student performance is the significant part in processing the educational data. Machine learning algorithms are leading the role in this process. Deep learning is one of the important concepts of machine learning algorithm. In this paper, we applied the deep learning technique for prediction of the academic excellence of the students using R Programming. Keras and Tensorflow libraries utilized for making the model using neural network on the Kaggle dataset. The data is separated into testing data training data set. Plot the neural network model using neuralnet method and created the Deep Learning model using two hidden layers using ReLu activation function and one output layer using softmax activation function. After fine tuning process until the stable changes; this model produced accuracy as 85%.
Enhanced Power Based Jamming Management Method for Mobile Ad Hoc Networks
Authors:   Ph.D., Research Scholar, Department of Computer Science, Erode Arts and Science College(Autonomous), Erode, India., Sivakumar M. , Ranganayaki Dr.T. ,   Associate Professor, Department of Computer Science, Erode Arts and Science College(Autonomous), Erode, India.
Published: August 2019

The portable mobile network contains adaptable node which are shaped discretionarily. Recalling a definitive goal to keep away from impede, cross layer based blockage manage plot is anticipated for lessening the package occurrences in this system. The planned plot contains three stages. In first stage, the cross layer configuration is proposed to guarantee that the data contribution should be possible between the unquestionable layers in convention stack. In second stage, the blockage unmistakable verification plot is analyzed which accomplishes packet disaster rate and stop upscale factor. In third stage, blockage control is master utilizing cross layer move towards. Here the blockage course is settled in context of the way increase, bolster inhabitancy division. To give smallest centralities utilize and staying away from more blockages, vitality utilizes display and multipath organizing plan is required in structures. . In this study, developed an Efficient Energy based Congestion Control Scheme (EECCS) for jamming prevention and to get better energy efficiency of the mobile nodes[1]. The cross layer propose is deployed to get better the network performance. The multipath direction-finding is concentrating to stay away from jamming and to boost network life span.
Induction Motor Drive with Trinary DC Source Asymmetrical Inverter
Authors:   Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India., Arun V. , Prabaharan N. ,   School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, India.
Published: August 2019

This paper deals a comparison of MATLAB based simulation of sinusoidal and trapezoidal PWM strategies applied to a trinary DC source nine level inverter fed R - load. The nine-level inverter fed induction motor drive is simulated only for that reference which provides better performance with R- load. Open loop and PI control schemes have also been developed for trinary DC source fed nine level inverter-based Induction motor drive to improve the responses under various sudden load changes at specified reference speed. The corresponding speed, torque and stator voltage are presented. Usual performance indices for transient operation of above drive are also evaluated and presented.
Application Access for Chromatic Colour Detection
Authors:   is with Saveetha Engineering College and currently working as Professor in Saveeetha Engineering College, India, shanmugasundaram Hariharan , Ravindhar N. ,   Assistant Professor (OG) in Department of Computer Science and Engineering, Saveetha Engineering College, India., Ranjani Sree ,   completed her undergraduate degree programme [B.E(CSE)] from Saveetha Engineering College affiliated to Anna University, Chennai, India
Published: August 2019

Computer has become one of the growing technologies in today’s world. Therefore, an efficient technique must be used in-order to have a good interaction with the computer. The Human-Computer Interaction is one of the growing technologies that enriches better interaction among the humans and computers. Human Computer Interaction is an efficient way to have an interaction between human being and computer. This paper deals with the better version of interacting with the computer through the object detection. The object detection is done with the RGB colours. Once when the colour of the object is detected, accordingly the functionalities are performed. All these detections are done within the desktop environment i.e., by using web-cam. In this method every human can have better communication with the computer in a better way. By this way it enhances the human computer interaction.
Design and Implementation of key Generation Algorithm for Secure Image
Authors:   Research Scholar, Dept of Computer Science and Engineering , Amity University Madhya Pradesh, Maharajpura, Gwalior, Madhya Pradesh, India., Sharma Alpana , Marriboyina Prof (Dr.) Venkatadri ,   Dept of Computer Science and Engineering, Amity University Madhya Pradesh, Maharajpura ,Gwalior, Madhya Pradesh, India., Gupta Prof (Dr.) Kamlesh ,   RustamJi Institute of Technology (RJIT), Takenpur, Gwalior, Madhya Pradesh, India
Published: August 2019

The advancements in internet and 5G communication technologies enormously use images as a crucial element for effective digital communication. Most of the digital devices support image communication as a prominent way of communication in digital Era. Most of the unauthorized access of digital Era communications leads to serious issues in digital data or digital image communications. Hence, Image Security in digital communication becomes an egress area of research in Digital Era. This paper is to design and implement an algorithm with a 96 bits cryptographic system. The result analysis carries out in this paper on input images and presents the comparative analysis of our proposed algorithm with the standard algorithms through standard performance evaluation metrics.
Diamond Thin Film Coating on WC Substrate by HFCVD Method using Different Seeding Powders and Its Characterization
Authors:   Mechanical Engg. Dept., VSSUT, Burla, India., Padhi Sachidananda , Behera Minaketan ,   Mechanical Engg. Dept., VSSUT, Burla, India., Pattnaik Sisira Kanta ,   Mechanical Engg. Dept., VSSUT, Burla, India., Sarangi Saroj Kumar ,   Mechanical Engg. Dept., VSSUT, Burla, India.
Published: August 2019

The formation of diamond thin solid film is studied by Hot Filament Chemical Vapor Deposition (HFCVD) by using different seeding powders on WC substrate. Here, we have deposited microcrystalline diamond (MCD) on SPUN cemented carbide (WC-Co) cutting tool insert using conventional HFCVD technique. The substrates were ultrasonically seeded with titanium, tungsten, molybdenum, diamond, combined diamond and tungsten powder at the same operation parameters to observe the difference in the growth of diamond by different seeding. Nucleation of diamond coating was studied after 40 minutes of coating with seeded substrate. The physical characteristics were studied by X-ray Diffraction (XRD).The Scanning Electron Microscope (SEM) was used to study the surface morphology. The diamond purity was studied with the help of Raman spectroscopy (RS). Reduction of cobalt percentage before and after pretreatment was studied by Energy Dispersive Spectroscopy (EDS). A very dense and uniform coating was deposited on the diamond powder seeded substrate. The nucleation density was found to be highest in diamond powder when compared with molybdenum and tungsten powder individually, because in initial stage the deposited material contains more sp2 content as compared to sp3 content. By using diamond and tungsten mixed powder the coating was uniform rather in case of only tungsten powder coating the discrete crystals were formed.
Classification of Mammograms using Various Feature Extraction Methods and Machine Learning
Authors:   Department of Computer Science & Engineering, NITTR, Sector 26, Chandigarh , India., kaur Apanveer , Doegar Amit ,   Department of Computer Science & Engineering, NITTR, Sector 26, Chandigarh – 160019, India.
Published: August 2019

Breast cancer is an alarming disease which takes millions of lives every year. In 2018, it was anticipated that 627,000 women died due to breast cancer – which is around 15% of all deaths caused due to different types of cancers among women. Currently, risk factors of breast cancer cannot be avoided, and early detection is the only way of survival. Automated detection of breast cancer with the help of image processing methods and machine learning algorithms helps in giving more accurate results and less human power. In the proposed system, multiple features are extracted using HSV histogram, LBP, GLCM, 2-D DWT. Support vector machine and LIBSVM classifiers are used for the classification of mammogram images if it’s benign or malign in nature. For classification, the INbreast dataset have been used which includes 115 cases containing 410 images. The dataset is divided into benign and malign category based upon BI-RAIDS scale. According to this partition we have 243 benign images and 100 malign images present in this dataset and a feature matrix of 595 features in total is generated for balanced and unbalanced datasets respectively and fed into SVM and LIBSVM to distinguish the data. The balanced datasets on LIBSVM gave best results with 92% accuracy, 84% sensitivity, 100% specificity and 91.30% F1 score followed by SVM which gave 75% accuracy, 73.61% sensitivity, 76.66% specificity and 75.8% F1 score.
Agglomeration Effects in Spatial Development of Russia’s Regions
Authors:   Plekhanov Russian University of Economics, Russia, Nikitskaya E.F. , Rusanovskiy V.A. ,   Saratov Socioeconomic Institute of Plekhanov Russian University of Economics, Russia, Valishvili M.A. ,   Plekhanov Russian University of Economics, Russia, Gretchenko A.A. ,   Plekhanov Russian University of Economics, Russia, Demenko O.G. ,   Plekhanov Russian University of Economics, Russia
Published: August 2019

The article addresses the issue of the twofold role of territorial agglomeration entities in the spatial development of Russian regions. The authors look at the possibilities of both stimulating and dissimulating effects of expansion of urban agglomerations on the socioeconomic status and innovation development of Russia’s regions, which cause the economic growth on the national level to speed up or slow down. On the one hand, urban agglomerations become “growth poles” that help spread business activity from the centre to the periphery and stimulate the diffusion of innovations. On the other hand, agglomeration trends in spatial development create centripetal economic effects that lead to greater inter- and intraregional socioeconomic disparity. The authors pay special attention to the forming of urban agglomerations as a socioeconomic phenomenon that preconditions economic disparity between territories. This becomes a problem from the viewpoint of state management, as Russia’s federative model of government grants priority to regulative influence in the economic space of regions. As a result, the socioeconomic development gap grows quite large, making national economic and innovation policies less effective in general. Based on the conducted studies, the authors demonstrate that it is necessary to transfer to a balanced combination of interregional cooperation aimed at eradication of regional disparity.
Spectrogram Enhanced Pitch Period Tracking using MWSG Filter in Noisy Environments
Authors:   ECE, University College of Engineering, JNTUK, Kakinada, India, Sathakarni T.Balasri , Kumari Dr.B.Leela ,   ECE, University College of Engineering, JNTUK, Kakinada, India.
Published: August 2019

Speech Processing is the study of speech signals which carry individual information such as speaker characteristics, acoustic environment, etc due to which the parameters defining the signal are unique. Pitch Period, Duration, Intensity are the parameters that play the main role in coding speech applications such as authentication, surveillance, speaker recognition. As the conventional filters are static in nature, for non-linear and non-stationary variations of signal parameters adaptive filtering models which are robust are required. Hence the tracking and estimation of the parameters can be done by using Particle-Kalman Filter. It is very important that the signal has to track perfectly even in the presence of noise, by removing the noise and thereby enhancing the output. The approach in this paper is to propose a method for enhancing the performance, using multiple window Savitzky-Golay Filter (MWSG Filter). The performance of filter is measured by parameters Viz., SNR and PSNR.
WHO Sanitary Inspection based Assessment of Contamination Risk in Drinking Water from Community Tubewells with Handpump in Rural India
Authors:   Civil Engineering Department, MANIT, Bhopal, India., Kulshrestha Mukul , Singh Prasad ,   Civil Engineering Department, MANIT, Bhopal, India.
Published: August 2019

This paper evaluates contamination risks associated with community based rural tubewells with handpump in rural areas of nine districts of the State of Uttar Pradesh in Northern India. A total of 324 such sources of drinking water were field surveyed to assess the prevalence of contamination risk based on the World Health Organization sanitary inspection guidelines. In the field survey conducted, a total of 37.7% of all community based tubewells with handpump in rural areas were found unsafe. Significantly, the prevalence of medium to very high risk was widespread: as many as 28.7% of all the 324 sampled community tubewells with handpump were found infested with medium, high or very high Risk levels, clearly portraying a rather alarming situation that needs immediate attention of field engineers, planners and policy makers, who need to coordinate work in order to minimize total risk of contamination in drinking water.
Artificial Neural Network (ANN) Based DDoS Attack Detection Model on Software Defined Networking (SDN)
Authors:   Department of Computer Science and Engineering, SRM Institute of Engineering and Technology, Chennai, India., R Pradeepa , M Pushpalatha ,   Department of Computer Science and Engineering, SRM Institute of Engineering and Technology, Chennai, India
Published: August 2019

Software Defined Networking (SDN) is a modern emerging technology in networking. The great advantage of this network is, decoupling of the carrier plane and the control plane as well as which provides centralized control. A Controller is the intelligent part of SDN. It offers several benefits such as network programmability, dynamic computing, and cost-effective, high bandwidth. However, SDN has many security issues. The DDoS attack on SDN is a significant issue, and various proposals have been proposed for the detection and prevention of attacks. The main objective of this proposal is to detect DDoS attacks with the help of SDN techniques. In this proposal, a deep learning based Artificial Neural Network (ANN) model is used to detect the DDoS attacks. This can reduce learning time as well as detection time. To evaluate our model we use different machine learning algorithms and deep learning algorithm with different optimizers to train the network traffic which is generated in Mininet emulator and evaluates the results by various metrics such as detection rate, accuracy score, and confusion matrix with classification report. The result shows less detection time (4Secs) with a high accuracy score of 92% in our proposed Artificial Neural Network (ANN) model.
Pre-Monsoon Cyclogenesis Over Bay of Bengal
Authors:   Department Civil Engineering, Centurion University of Technology and Management, Odisha, India., Mishra Siba Prasad , Sethi Kumar Charan ,   Department Civil Engineering, Centurion University of Technology and Management, Odisha, India., Mishra Durga Prasad ,   Ganesh Bhawan, Old Sadar Thana lane, Puri, Odisha, India., Siddique Mohammed ,   Department Mathematics, Centurion University of Technology and Management, Odisha, India
Published: August 2019

Cyclonic disturbances in the Bay of Bengal are natural, recurrent, and a regular devastator to the east coasts of Ceylon and India (especially to Odisha coast), Bangladesh and Myanmar. The destruction depends upon the frequency, intensity, place of formation, life span in Bay, SST, ENSO, El Nino Modoki, Indian Ocean Dipole, boreal summer atmospheric phenomena, Madden–Julian oscillation and the climatology of India’s mainland. The effective management of these vulnerable storms can reduce fatalities, degradation to environment and socio-economic consequences. The investigation to decadal trend of pre-monsoon bay disturbances for last 129 years reveals that the decadal distributions of cyclonic disturbances in BOB were irregular. From last 30 years pre-monsoon landfall data (1990 to 2019) divulges that frequencies of CS in BOB are increasing during La-Nina Modoki years than normal La-Nina years. The frequencies of SCS increase during warm, strong La-Nina years than La-Nina Modoki years and particularly during negative ONI events, La Nada, Strong ENSO, high PIOD events. Individually the events may not be conclusive regarding conceive strong pre-monsoon cyclonic storms but they become severe when taken in combination.
Dual Career Couples: Role of Technology VS Communication Gap
Authors:   M.phil Research Scholar in Department of Management Studies in DKM College for Women Vellore, India, Parveen N.Anisha , Palaniammal V.S. ,   Assistant Professor of Management Studies in DKM College for Women Vellore, India
Published: August 2019

Dual Career Couples, to be precise in the southern part of India which is referring to the metropolitan states like Tamil Nadu, Karnataka etc., are in a very huge numbers. As this tremendous increase in the commuting couples rise has the best logical explanation / factors such as the inflation, financial management of their family, children’s education, MNC’s establishment in a very big major city like Chennai have been cited as the best reason for migrating from their own places to the capital of Tamil nadu, i.e., Chennai. There might be some miscommunication that this lifestyle leads to chaos as we can see for ourselves that most people we came across are falling into this category.
Framework and Evolution of Task Orientation using Fuzzy and GA
Authors:   Department of Mathematics, SRMS College  of Engineering & Technology, Bareilly, Affiliated to Dr. A. P. J Abdul  Kalam Technical University, Lucknow, India., Khandelwal Dr. Anju , Kumar Prof. Avanish ,   Former Head, Department of Math Sc & CA, Bundelkhand University, Jhansi, Chairman CSTT, MHRD, New Delhi, India.
Published: August 2019

The process of selecting employees in any organization is done by mostly old ways. There is a lack of hypothetical support in this method, and error is possible in the result. In the research paper presented, we have outlined the recruitment and selection process of employees with the help of Fuzzy Triangular Number. The selection process given here is completely different from the methods given earlier. To find the ideal employee here, we use the modified method of solving assignment problem. Using certain linguistic variables, we use robust ranking method here. The solution obtained from this method is minimized using the revised approach of assignment. This modified approach is simpler than the Hungarian method previously used by other authors. Using this modified solution, the minimum solution is achieved by reducing the number of recurring assignments. After assignment process, finally selection of employees is given using criterion of GA.
Impact of Social Media in Education Among the Engineering Graduates with Special Reference to Chennai City
Authors:   Department of Commerce, VISTAS, Chennai, TamilNadu, India., Rani S.Vennila Fathima , Jayakani S. ,   Department of Commerce, VISTAS, Chennai, TamilNadu, India., Gururaj A.David Maxim ,   Mathematics Division, Vellore Institute of Technology, Chennai, TamilNadu, India
Published: August 2019

In today’s realm of connected knowledge, the impact of social media on education has become a major motivating element. Reaching other parts of the world has become easy, and with the help of technology such as social media, the style of delivering instruction has been constantly shifting. Many educational platforms such as Swayam, MOOC, NPTEL, Virtual labs, Udemy, etc provides online teaching to the students in a very effective way. The technical tools that permit these podiums to function are also one of the driving forces behind the impact of this technology on learning. Teachers have started to equip themselves into the arcade of electronic avenues. Students too have started to use the Social media for education purposes. Hence the topic on Impact of social media in Education among the Engineering graduates would be an eye-opener for all the teaching and learning community to equip themselves to web connected learning through social media. In this paper, the authors have made a conscious effort in studying the social media effect in education among the engineering graduates using ANOVA and T-Test.
PERANCANGAN PROTEKSI KEBAKARAN OTOMATIS PADA KAPAL BERBASIS ARDUINO
Authors: Hidayat Dody
Published: August 2019

Kebakaran dapat terjadi dimana saja salah satunya dapat terjadi di alat transportasi air yakni kapal. Kebakaran selalu menyebabkan hal-hal yang tidak diinginkan baik kerugian material maupun ancaman keselamatan jiwa manusia. Seiring dari kejadian tersebut musibah kecelakaan kapal yang disebabkan oleh bahaya kebakaran sangatlah mungkin terjadi. Salah satu yang dapat mencegah kejadian kebakaran pada kapal haruslah dapat mendeteksi dini kebakaran tersebut. Untuk mendeteksi dini terjadinya kebakaran dikapal maka dirancanglah sebuah alat proteksi kebakaran otomatisberbasis adruino. Dimana Arduino merupakan board yang memiliki sebuah mikrokontroller sebagai  otak kendali sistem. Sistem otomatisasi atau controller tidak akan terlepas dengan apa yang disebut  dengan ‘sensor’. Sensor adalah sebuah alat untuk mendeteksi atau mengukut sesuatu yang digunakan untuk mengubah variasi mekanis, magnetis, panas, sinar dan kimia menjadi tegangan dan arus listrik. sistem yang dirancang ini dilengkapi dengan beberapa sensor diantaranya adalah sensor apiUV-Tron R2868, sensor asap MQ-2 dan kemudian sensor suhuDS18B20. Mikrokontroller sebagai pengendali akan merespon input yang berupa sensor tersebut ketika data yang dibaca oleh sensor mendeteksikebakaran diantaranya mendeteksi adanya asap, kemudian api dan suhu. Sebagai output dari sistem berupa racun api (fire extinguisher)dimana kandungan yang ada pada racun api tersebut berupa Dry Chemical Powder dan Carbon Dioxide (CO2) yang fungsinya digunakan untuk memadamkan api serta dilengkapi buzzer sebagai alarm peringatan jika terjadi kebakaran.