bluuebunny/crossref_metadata_2025 huggingface dataset:
Foreseeing Employee Attritions using Diverse Data Mining Strategies
Authors:   Department of Information Technology, Chandubhai S. Patel Institute Of Technology(CSPIT), Faculty of technology & Engineering (FTE), Charotar University of science and Technology (CHARUSAT), Changa, Anand, India, Vasa* Jalpesh , Masrani Kanksha ,   Faculty of Applied Science, Simon Fraser University, Vancouver, Canada.
Published: October 2019

“Employee turnover is a noteworthy matter in knowledge-based companies.” On the off chance that employee leaves, they carry with them tacit information, often a source of competitive benefit to the other firms. Keeping in mind the end goal, to stay in the market and retain its employees, an organization requires minimizing employee attrition. This article discusses the employee churn/attrition forecast model using various methods of Machine Learning. Model yields are then scrutinized to outline and experiment the best practices on employee withholding at different stages of the employee’s association with an organization. This work has the potential for outlining better employee retention designs and enhancing employee contentment. This paper incorporates and condenses the capacity to gain from information and give information-driven experiences, choice, and forecasts and thinks about significant machine learning systems that have been utilized to create predictive churn models.
Load Balancing of Unbalanced Matrix Problem of Maximum Machines with Min Min Algorithm
Authors:   CSE, University of Kalyani, WB, India, Mondal* Ranjan Kumar , Ray Payel ,   CSE, University of Kalyani, WB, India, Nandi Enakshmi ,   CSE, University of Kalyani, WB, India, Sarddar Dr. Debabrata ,   CSE, University of Kalyani, WB, India
Published: October 2019

Most eminent computing technology related to the cloud is an exclusively web-based approach where resources are hosted on a cloud; it prospers the resources. Cloud computing is the most promising technologies that offer a standard for bulky sized computing. That is a structure for enabling applications to execution on virtualized resources and accessed by a network protocol. It provides resource and services in a very elastic behavior that can be scaled according to the required of the clients. Limited numbers of devices execute less number of tasks at that time. So it is more complex to perform each task at once. Several devices execute each task, so it has required balancing total loads that reduce the completion time and executes each task in a definite way. We have said earlier that there are not feasible to stay behind an equal server to execute similar tasks. The tasks that are to be executed by machine in the cloud system must be less than the united VM for a time. Overloaded servers have to perform a less number of jobs. Here in our approach, we want to show a scheduling algorithm for balancing of loads and presentation with minimum execution time and makespan.
A Metallic WBAN Dielectric Resonator Antenna for ISM Band Applications
Authors:   Research Scholar, Department of ECE, K L E F, Vaddeswram, Guntur, India., Rao* L. Nageswara , Govardhani Dr. I. ,   Professor, Department of ECE, K L E F, Vaddeswaram, Guntur, India.
Published: October 2019

A compact cylindrical dielectric resonator antenna (CDRA) for Industrial, Scientific and Medical (ISM) applications is proposed in this article. The simple microstrip feeding system can be used to stimulate a certain CDRA. An implemented dielectric resonator delivers the functionalities for an efficient radiator with the feeding specifications. The permitted band can be accumulated by varying the design specifications. The standardized design comprises the resonator to attain frequency of 2.4 GHz. The ISM band is used in wireless body area networks (WBAN) technology for transmission of real time traffic such as video and information to monitor the health conditions. A U-shaped metal strip is located over the dielectric resonator material in order to miniaturize the size and enhance the resonator appearance. The consequences on antenna appearance for various radio wire specifications are explored. The intended model has competitive prices, lower volumes, and adequate containment. The evaluation of antenna illustrates the optimal bandwidth, coefficient of reflection (< -10 dB) as well as substantial gain across the specified bands. Coefficients of reflection, voltage standing wave ratio (VSWR) and radiation structure were discovered in each scenario. Architecture content and simulated results of Ansoft's HFSS are demonstrated. For ISM band implementations, the constructed antenna is sensible.
An Efficient Romanization of Gurmukhi Punjabi Proper Nouns for Pattern Matching
Authors:   APS Neighbourhood Campus, Punjabi University, Patiala, India. (Research Scholar at RIMT University), Singh* Harjit , Oberoi Ashish ,   School of Engineering, RIMT University, Mandi-Gobindgarh, India.
Published: October 2019

A Romanization system is used to convert some text of a source script to the Roman script through word by word mapping. The phonological characteristics of the source word are not lost. Only writing script is changed, without any changes in the spoken language. This paper presents a rule based approach for Romanization of Gurmukhi script proper nouns. The aim is to develop a lightweight Romanization system, which may produce multiple possible results for the same input word. The algorithm uses a list of Gurmukhi script characters along with their equivalent character combinations in Roman script. Direct mapping of Gurmukhi script characters to their equivalent Roman script character combinations does not produce efficient results, so some rules are applied to get the correct mappings. The rules are basically to place or remove the letter ‘a’ in between the mapped consonants. Three different sets of rules are applied to get three different Romanized outputs. All these outputs are acceptable for information extraction using pattern matching. In Gurmukhi, some words are written differently than these are pronounced. To handle such words, these words or part of these words are stored in a database table. Along with these words their Romanized form is also stored in second column. The table is used to directly pick the Romanization from the table and use it for Romanization of these words. The result of this Romanization system is a set of possible words that can be generated from the source script word. It enables an application to pattern match those output words with some text or database to get the required information.
Missing Values Imputation using Feed Forward Neural Network
Authors:   Research Scholar, School of Computing, Sathyabama Institute of Science and Technology, Chennai, India., P* Saravanan , Samuel Justin ,   Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, India., V Nirmalrani ,   School of Computing, Sathyabama Institute of Science and Technology, Chennai, India., G Mathivanana ,   School of Computing, Sathyabama Institute of Science and Technology, Chennai, India.
Published: October 2019

Data cleaning intends to make the data as highly qualified one in terms of completeness and noisy free to makes the pattern outcome as high quality. Since most of the real world data possess these crucial issues, finding the most probable value for the holes introduced in data collection becomes a challenging task. This paper attempts to employ the feed forward neural network to make the collected dataset as complete which in turn the pattern outcome also complete. The collected dataset which possess the missing values is used to generate the identity matrix where the filled cells might get one and rest of the cells as zero. The given dataset gets normalized using minmax variety after replacing the missing cells as zero which will become a target matrix. By adjusting the weight values for the edges across the various edges the net value gets computed. The process gets repeated with a small increment done over the input to reach the target till the loss function yields the desirable value. The method is experimented with various UCI machinery dataset for different standard missing ratios. The proposed system performance is evaluated through RMSE parameter and the above method shows better accuracy with other popular methods.
Computational Modeling on Thermal Control of Electronics using Water-Silicon Carbide Nanofluid
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla (Sambalpur), Odisha, India., Kund* N. K.
Published: October 2019

For the current exploration, CFD codes are developed and executed with water-SiC nanofluid to visualize the thermal concerns of ICs. The convective governing equalities of mass, force and drive are computed for envisaging the thermal issues of ICs. The time pace selected throughout the intact computation is 0.0001 s. The soundings affect CFD forecasts of temperature curve, temperature arena plus fluid-solid boundary temperature of IC. The fluid-solid boundary temperature of IC is viewed as 309 K. This stands far less than the chancy limit of 356 K temperature wished for the objective of outwitting thermal cataclysm of IC. Tritely, the temperature of water-SiC nanofluid stands peak contiguous to the IC locality. Further, the temperature of water-SiC nanofluid gently drops with improvement in aloofness from IC. Afterwards, this becomes surrounding temperature in the distant arena precinct. The analogous tinted temperature curve stands accessible. Besides, the harmonizing graph of temperature against distance from IC stands revealed. Tritely, the development of CFD interpretations stand alongside the experiences of outlooks.
Soil Spectral Signature Analysis for Influence of Fertilizers on Two Different Crops in Raver Tahshil
Authors:   Department .of Computer Science & Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India,, Borole* Vipin Y. , Kulkarni Dr. Sonali B. ,   Department .of Computer Science & Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India., Bhise Pratibha R. ,   Department .of Computer Science & Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India..
Published: October 2019

Soils as a significant ingredient of terrestrial ecosystems are extremely important in agriculture field. Soil having different physical, biological, chemical properties. Physicochemical soil properties are the basic indicator of soil efficiency, it is strongly related to agronomic output. Soil parameters are very important in soil fertility that helps for plant growth as well as production. The soil quality is uniformly important as crop invention. The primary goal of this research is to use remote sensing techniques to evaluate soil properties. This goal is satisfied by emerging soil analysis on the basis of spectral data collected by FieldSpec4 spectroradiometer. The spectral analysis technique includes soil samples preparation, acquisition of spectral signatures and selection suitable statistical method. In this regard, soil properties and their consequent soil spectral signature measure. Statistical mean and series of processes are performed using View Spec pro Software. In the collected soil samples, surface soil parameters are more reflected than subsurface soil parameters. The spectral reflectance data can be alternative to the traditional methods for determining soil properties.
Smart Yield Accuracy Prediction using Linear Regression and Collaborative Filtration
Authors:   Department of Information Science and Engineering, MSRIT, Bangalore, Karnataka, India., Ram* V Prithvi , S B Rajeshwari ,   Assistant Professor, Department of Information Science and Engineering, MSRIT, Bangalore, Karnataka, India., Kallimani Dr Jagadish S ,   Associate Professor, Department of Computer Science and Engineering, MSRIT, Bangalore, Karnataka, India
Published: October 2019

India is mainly based on farming. Agriculture is the main source of economy in India, but the farmers are suffering with many problems such as lack of crops yield, lack of water, soil fertility etc. To address those issues this recommendation system is proposed, and it significantly influences the crops yields. The need for the accessible data on the accomplishment for getting crops in good yields are investigated. To accomplish that, real-time data are collected from the farmers from different places of Karnataka. In this paper linear regression and collaborative filtering are used, and results are compared to draw an inference for more accurate recommendation system.
Research on Magnetic-Valve Controllable Reactor Based on ANSYS
Authors:   School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China., Darko* Samuel Addo , Tian Mingxing ,   School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China., Zhang Huiying ,   School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Published: October 2019

Magnetic-valve controllable reactor (MCR) has become many researcher’s topic of the day because of its versatile use in power systems. MCR utilizes the concept of magnetic saturation to control power flows in the power grid. It is as simple to operate and maintain, and reliable as an ordinary transformer. However, magnetic-valve controllable reactor works under a more variety of complex excitation condition because of the superposition action of AC and DC excitations. This paper carefully discusses the distribution of magnetic field of MCR core, provides an understanding of the range of inductance adjustments and further analyzes the working current waveform. Based on that, the finite element analysis software ANSYS Maxwell is used to design and examine a 3-D prototype model under different control voltage levels. The method of transient solution is applied for the reason being that it simultaneously has both AC and DC voltages. The AC voltage is kept constant while the DC voltage is varied from the minimum to the maximum rated value. The simulation results confirm that the magnetic-valve controllable reactor works in the saturation region of the magnetization curve under the combined excitation of AC and DC. The inductance adjustment range shows that the MCR inductance value can be smoothly and continuously varied. In addition, the working output current contains little odd-order harmonics that can be mitigated if filtering device is used or the magnetic valves are designed carefully. By observing the simulation results and analysis, one can gain a thorough understanding of MCR under actual working condition. It provides a reliable basis for the performance design of magnetic-valve controllable reactor.
Classification of Land Cover from Remote Sensing Images using Morphological Linear Contact Distributions and Rough Sets.
Authors:   Associate professor, Sri. A.B.R. Govt. degree college, Repallle, Guntur(Dt), Andhra Pradesh, India and Research scholar, Jawaharlal Nehru technological university – Kakinada, Kakinada, Andhra Pradesh, India., Kavitha* A.V. , Srikrishna Dr. A. ,   Professor and HOD, Department of Information and Technology, RVR JC College of engineering, Chowdavaram, Guntur, Andhra Pradesh, India., Satyanarayana Dr. Ch. ,   Professor, Department of computer science, Jawaharlal Nehru technological university - Kakinada, Kakinada, Andhra Pradesh, India
Published: October 2019

Remote sensing image classification plays an essential role in computer vision and image processing to address the problems in the areas of agriculture, forest monitoring, urban development, environment protection, etc. A lot of literature is available on remote sensing image classification. But, it is still a research task even today because of the multitude of problems. RTBFCA (Rough Texture Based Features Classification Algorithm), a new classification algorithm has been proposed in this paper. This paper aims at classifying the remote sensing images into various cover types using mathematical morphology and rough sets. Morphological texture features (linear contact distributions) along with first order statistics are used to identify the pixels of various classes and the concepts of lower and upper approximations of rough sets are used for clustering the features of the pixels and then are finally classified to display the classified image. The proposed method was tested on Google Earth images and is able to classify even various crops patterns of a land cover image. The algorithm is compared with other algorithms like ”GLCM with rough sets”, ”intensity values with rough sets” and with ”linear contact distributions with rough sets”.
Feature Selection with Centre of Gravity Method using Ant Colony Optimization
Authors:   Department of Computer Application, M E S College, Marampally, Aluva, Ernakulam, Kerala, India., Sekhar* Leena C , Vijayakumar R ,   School of Computer Science, Mahatma Gandhi University, Kottayam, Kerala, India, Sabu M K ,   Department of Computer Application, Cochin University of Science and Technology, Kochi, Kerala, India
Published: October 2019

The high dimensional dataset with irrelevant, redundant and noisy features has much influence on the performance of machine learning problems. In this work, an existing Ant Colony Optimization (ACO) based feature selection algorithm is modified by attaching a dimensionality reduction method as a data pre-processing step. This is achieved by introducing the concept of Centre of Gravity (CoG) of a set of points. After reducing the dimension, the ACO algorithm is used to generate the optimal subset of features. The performance of the proposed algorithm is evaluated using Artificial Neural Network (ANN) classifier. The performance comparison using various dataset shows that the proposed method outperforms the existing ACO based feature selection methods.
Machine Learning based Test Case Prioritization in Object Oriented Testing
Authors:   CSE Department, DCRUST Murthal, Sonipat, India., Singh* Ajmer , Bhatia Rajesh Kumar ,   CSE Department, PEC University , Chandigarh, India., Singhrova Anita ,   CSE Department, DCRUST Murthal, Sonipat, India.
Published: October 2019

Software maintenance is one of the most expensive activities in software life cycle. It costs nearly 70% of the total cost of the software. Either to adopt the new requirement or to correct the functionality, software undergoes maintenance. As a consequent of maintenance activities, software undergoes many reforms. Newly added software components may affect the working of existing components and also may introduce faults in existing components. The regression testing tries to reveal the faults that might have been introduced due to these reformations. Running all the prior existing test cases may not be feasible due to constraints like time, cost and resources. Test case prioritization may help in ordered execution of test cases. Running a faulty or fault prone component early in testing process may help in revealing more faults per unit of time. And hence may reduce the testing time. There have been many different criteria for assigning the priority to test cases. But none of the approaches so far have considered the object oriented design metrics for determining the priority of test cases. Object oriented design metrics have been empirically studied for their impact of software maintainability, reliability, testability and quality but usage of these metrics in test case prioritization is still an open area of research. The research reported in this paper evaluates subset of CK metrics. Metrics considered from CK suite include Coupling between objects (CBO), Depth of Inheritance tree (DIT), weighted methods per class (WMC), Number of children (NOC), and Response for a class (RFC). Study also considers four other metrics namely publically inherited methods (PIM), weighted attributes per class (WAC), number of methods inherited (NMI) and number of methods overridden. A model is built based on these metrics for the prediction of software quality and based on the quality measures software modules are classified with the help of Support Vector Machine (SVM) algorithm. The proposed approach is implemented in WEKA tool and analysed on experimental data extracted from open source software. Proposed work would firstly help the tester in identifying the low quality modules and then prioritize the test cases based on quality centric approach. The work also attempts to automate test case prioritization in object oriented testing. The results obtained are encouraging.
Optimization of Embankment Widening with Different Soils
Authors:   Department of Civil Engineering, VNRVJIET, Hyderabad-90, Telangana, India., kumaar* Mangali Akhil , Kommu Suresh ,   Assistant Prof, VNRVJIET, Hyd,Research Scholar, KL University, Guntur Dist, AP, India., Asadi SS ,   Associate Professor, Department of Civil Engineering, Vignan's Foundation for Science Technology and Research, Deemed to be University, Guntur, A.P., India
Published: October 2019

Due to increasing in the population and vehicular volume the existing roads are becoming inadequate. To overcome this problem, widening of existing roads or embankments are obtained, which required a huge amount of soils of suitable properties but due to industrialization and urbanization the availability of good soils are getting reduced because of which the construction should be carried out with unsuitable or weaker soils of inadequate properties and also the widening process involves accumulation of large land area which results in uneconomic of project. In this study three different soils are considered to analyze the influence of weaker soils on embankment widening which involves the stability analysis and reinforcement contribution analysis. Also study involves optimization of embankment widening using Different embankment sections with different slope angles ( via 1V:1H, 2V:1.5H, 2V:1H and 2.5V:1H ) and geo-synthetic reinforcement, which results in reductions of additional land required and backfill material but ensuring minimum factor of safety of 1.5. The analysis performed based on Limit equilibrium methods using SLOPE/W software. The results shows that the reinforcement mobilizes the stabilizing force in embankment which increases the stability and corresponding factor of safety of embankment and for the reinforced section the factor of safety value is a contribution of both reinforcement and shifted critical slip circle and percentage of contribution depends upon slope angle, soil properties & reinforcement. The cost analysis of embankment widening with different soils and different slope angles shows that steep section is the most economical section in all the cases.
Effectiveness of the EBRD Strategies in the Eurasian Economic Union Countries
Authors:   The Department of Economics and Management, Armavir state Pedagogical University, Armavir, Russia., Bondarenko* Irina Alekseevna , Vandina Olga Georgievna ,   The Department of Economics and Management, Armavir state Pedagogical University, Armavir, Russia., Charakhchyan Konstantin Karenovich ,   The Department of Economics and Management, the Kuban State University branch in Armavir, Armavir, Russia., Mukuchyan Razmon Rubenovich ,   The Department of Economics and Management, Armavir state Pedagogical University, Armavir, Russia.
Published: October 2019

The given research is devoted to studying the experience of the European Bank for Reconstruction and Development (the EBRD) in term of developing a roadmap of its strategic plan in the countries of the Eurasian Economic Space. The aim of the article is to consider the results the EBRD investment activity in the Republics of Armenia, Belarus, Kazakhstan, Kyrgyzstan, Tajikistan and in the Russian Federation, to indentify the specific nature of the bank financing strategies of projects in each particular country. The objectives of the article are to consider the investment projects in the EAEU countries from the content point of view, to compare them in terms of implementation conditions, duration, capital investment and volumes of financing, to analyze the effectiveness of ongoing projects, to identify ineffective activities in order to adjust the EBRD strategic plans. Methodology. The research is carried out within the institutional approach, the theory of collective action and the concept of political opportunities. Results. The EBRD projects are categorized in terms of bank activities, a comparative analysis of projects of the same type in the countries of the Eurasian Economic Space was conducted. Conclusion. Studying the experience of the European Bank for Reconstruction and Development in the field of investment projects that implement the Bank’s strategies for the development of "green economy", energy conservation, quality of corporate governance and road infrastructure shows that the scope of activity of traditional banking institutions and their interests are expanding to global institutional projects taking into account the objective circumstances of the modern stage of development of the countries of operations.
Automatic Movable Platform for Crossing Railway Track
Authors:   Department Of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology, Coimbatore, India, G* Indumathi. , R Kuralarasi. ,   Department Of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore, India, S Kalieswari. ,   Department Of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore, India, M Kanimozhi. ,   Department Of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore, India, N Kanimozhi. ,   Department Of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore, India
Published: October 2019

In order to facilitate the passengers in railway stations without disturbing the train activities, staircase and bridges were laid foundation. But during peak hours, it becomes more rush and crowded that becomes very difficult for the elderly persons or handicapped persons to use the bridge. To overcome this circumstance, we propose the idea of closing and opening the mobile platform in railway tracks automatically in this project. Mobile platform is one that connects two platforms together and thus facilitates passengers to use the path efficiently and reach the opposite stage. In this module, we make use of two Sensors on both sides of the track. When the train reaches the stage, the first sensor automatically closes the mobile stage. Once the train leaves the station, the second sensor helps to bridge two platforms mechanically. We make use of infrared sensors along with integration of microcontroller to sense the presence of train and it sends the pulses to stepper motor device that helps in closing the mobile stage. In order to avoid the confusions to the pedestrians regarding the usage of bridge, we implement green and red signal indication. When the signal is green, the pedestrians can use the bridge. If it turns red it indicates that train is arriving and hence bridge is closed and cannot be used until it leaves. The basic block diagram along with involved hardware and software devices are discussed in detail.
Design and Performance Evaluation of IP Based Intelligent Transportation System with Packet Sender’s Location Tracking Scheme
Authors:   Yeshwantrao Chavan College of Engineering, Nagpur, India,, Dorge* Prabhakar D. , Dorle Sanjay S. ,   G. H. Raisoni College of Engineering, Nagpur, India, Nikam Snehal ,   D.M.C.E. Navi Mumbai, India
Published: October 2019

In today’s modern era the congestion problem of vehicles is increasing, resulting in traffic jam, accidents, etc. Also today’s transportation system is far away from intelligent and important message broadcasting within the vehicular network. To overcome these problems there is need of Intelligent Transportation System (ITS) which can boost up the usefulness of the vehicular network infrastructure. In this paper we have designed IP based intelligent transportation system by using WiMAX network protocol with reactive routing protocols like Ad hoc On-demand Distance Vector (AODV) and Ad hoc On-demand Multipath Distance Vector (AOMDV). Also in this transportation system we have incorporated the scheme of particular data packet sender’s location tracking to extract the exact location of the specific data packetsender during transmission and reception process for intelligence agency. The performance evaluation of this vehicular ad hoc network (VANET) is done through performance parameter like throughput and delay for AODV and AOMDV routing protocols.
Performance of Vapor Compression Refrigeration System using Nanoparticles – Based Mineral Oil Lubricant
Authors:   Pursuing M. Tech in Thermal Power Engineering , Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bengaluru., Devendra*  , M Raviprakash ,   Associate Professor in the department of Mechanical Engineering at Nitte Meenakshi institute of technology Bengaluru., Kapilan N. ,   Professor and HOD in the department of Mechanical Engineering at Nagarjuna College of Engineering and Technology, Bengaluru., Yadav Shiv Pratap Singh ,   Assistant Professor in the Department of Mechanical Engineering at Nitte Meenakshi Institute of Technology Bengaluru.
Published: October 2019

In general, mineral oil and polyester oil are used as lubricants in a refrigeration system compressor. The present work focuses mainly on the mineral oil based lubricant based on MWCNT nanoparticles. The different characterization of the multi-wall carbon nanotube (MWCNT) was performed using different methods such as Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), and Transmission Electron Microscopy (TEM), which will result in size, structure and morphology of the CNT nanoparticle. First prepare the Nano-lubricants by adding nanoparticles in mineral oil with different concentrations of 0.05, 0.075 and 0.1wt% with the help of an ultrasonicator which will give the homogeneous mixture of Nanolubricant. Nanoparticles mixed with mineral oil used in a refrigeration system work safely and normally. The experiment were conducted on refrigeration system for different concentration, namely 0.05, 0.075 and 0.1wt% which will mixed with mineral oil and without nanoparticles in mineral oil. The result shows that 0.1wt% Nanolubricant which will give higher improvement in heat transfer efficiency and increase in the Coefficient of Performance (COP) by 37%. And energy savings is 9.6%.
Similarity Detection in Large Volume Data using Machine Learning Techniques
Authors:   Department of Information Technology, School of Engineering, Cochin University of Science and Technology, Cochin, Kerala, India., Gopal* Viji , Paul Dr. Varghese ,   Professor, Department of Information Technology, Rajagiri School of Engineering and Technology, Kakkanad, Kochi, Kerala, India., Elayidom Dr.M Sudheep ,   Professor, Department of Computer Science, School of Engineering, Cochin University of Science and Technology, Cochin, Kerala, India, Gopalan Dr.Sasi ,   Associate Professor, Division of Applied Sciences and Humanities, School of Engineering, Cochin University of Science and Technology, Cochin, Kerala, India.
Published: October 2019

When unauthorized copying or stealing of intellectual properties of others happen, it is called plagiarism. Two main approaches are used to counter this problem – external plagiarism detection and intrinsic plagiarism detection. External algorithms compare a suspicious file with numerous sources whereas intrinsic algorithms are allowed to solely inspect the suspicious file in order to predict plagiarism. In this work, the area chosen for detecting plagiarism is with programs or source code files. Copying the entire source code or logic used in a particular program without permissions or copyright is the stealing that happens in the case of source codes. There exist many ways to detect plagiarism in source code files. To perform plagiarism checking for a large dataset, the computational cost is very high and moreover it’s a time consuming job. To achieve a computationally efficient similarity detection in source code files, the Hadoop framework is used where parallel computation is possible for large datasets. But the raw data available to us is not in a suitable form for the existing plagiarism checking tools to work with, as their size is too high and they possess features of big data. Thus a qualifying model is required for the dataset, to be fed into Hadoop so that it could efficiently process them to check for plagiarism in source codes. To generate such a model, machine learning is used which incorporates big data with machine learning.
Estimation and Analysis of IRNSS Satellites Differential Code Biases using Real Data
Authors:   Electronics and Communication Engineering, G.Pullaiah College of Engineering and Technology(Autonomous),Kurnool,Andhra Pradesh, India, Ramulamma K. , Swamy Dr. K.C.T. ,   Department of Electronics and Comunication Engineering ,G.Pullaiah College of Engineering and Technology(Autonomous),Kurnool,Andhra Pradesh, India
Published: October 2019

IRNSS is a regional navigation system developed by the Indian Space Research Organization (ISRO) for precise position and navigation services over the Indian sub-continent. However, the IRNSS measurements are being affected by the many residuals or biases. Differential Code Biases (DCB) are very significant in the precise measurement of ionosphere Total Electron Content (TEC). In this paper, DCB of all available IRNSS satellites and receiver is derived from the pseudorange measurements of IRNSS on L5 and S-band signals. Results show that the estimated daily mean DCB of IRNSS satellites is in the range between -0.60 nanoseconds(ns) and 0.606 ns. Further, the receiver DCB is obtained as 7.904 ns.
An Augmented Reality Assisted Order Picking System using IoT
Authors:   Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India., Nagda* Mayank Kumar , Sinha Sankalp ,   Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India., E Poovammal ,   Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
Published: October 2019

It is widely recognized that order picking is the most complicated and time-consuming task in warehouse operations and often termed as the major bottleneck in warehouse workflow. Over the years the process of order picking has been extensively studied and many methods have been proposed to deal with its challenges. However, most of these solutions involve complex and expensive components with elaborate setups. In this paper, we propose RASPICK a modular, robust and cost-efficient order picking system that is scalable and can be used in warehouses of all sizes. The proposed system aims to reduce the cognitive load on the picker by providing crucial and relevant information for each item on the picking list. For a baseline, the proposed system is also compared to manual paper-based picking and shows significant improvements in average trip-time for lists of different sizes. The system combines the convenience of Augmented Reality with the power of the Internet of things to facilitate central control and management of pickers and attempts to address the low-level order picking bottlenecks.
Evaluation of Mechanical Characteristics of Magnesium Foam by Varying the Percentages of Foaming Agent
Authors:   Assistant Professor, Department of Automobile Engineering at the Sathyabama Institute of Science and Technology of Chennai since, Sivashankari* P. , Krishnamoorthy A. ,   Professor of Mechanical Engineering in Sathyabama Institute of Science and Technology, Chennai, India.
Published: October 2019

Magnesium metal foams have the ability to withstand the structural material impact for the lightweight applications. However, the main disadvantages of using magnesium are due to high reactivity and consequently the mechanical characteristics. The present study aims at evaluating the effect of porosity on the mechanical characteristics. The magnesium metal foams are fabricated by powder metallurgy technique using the crucible made of silica gel for holding the particles. The magnesium powder of 350 microns of mesh size was used as raw material. The mechanical behaviors were evaluated by the universal testing machine. Foams with 36%-43% porosity have the compression strength of 17.134MPa - 85.032 MPa.
Splicing Localization Based on Noise Level Inconsistencies in Residuals of Color Channel Differences
Authors:   Department of Computer Science & Engineering, Gandhi Institute of Technology and Management, Visakhapatnam, India., Sekhar* PNRL Chandra , Shankar T N ,   Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India.
Published: October 2019

With the rapid usage of networking sites there is an enormous increase in image sharing over the internet. At the same time altering or tempering images has become much easier with the availability of photo editing software. Splicing is one of the tempering method, where an object from one image is copied and pasted into another image, is often used with the aim of either getting attention for fun or misleading the general masses. Thus, authenticity of images shared on internet is debatable. Active research is going on in the field of image forensics in order to examine the trustworthiness of the images. Amongst several techniques available for dealing with image splicing, the statistical based methods are gaining attention in research community as it uses image’s local statistics. We propose a simple and effective method based on noise inconsistencies in residuals of Color channel difference for forensic analysis to localize the splicing image forgery. First the image is decomposed in to super pixels and extracted in regular shapes. From each super pixel, three color channel differences are extracted and noise level is estimated on the residual. Finally, the super pixels are clustered into two groups using Farthest Distributed Centroids Clustering (FDCC) method for classifying superpixel as tampered or original. The experimental results show the simplicity and effectiveness of the proposed method over the state of the art.
Intelligent Vehicular Flow Management System for Educational Hub
Authors:   Computer Department, Vishwakarma Institute of Information Technology, Pune, India., Swami* Onkar , Sakhare Dr Sachin ,   Computer Department, Vishwakarma Institute of Information Technology, Pune, India., Tatale Subhash ,   Computer Department, Vishwakarma Institute of Information Technology, Pune, India.
Published: October 2019

In rural and urban arenas, quantity of vehicle is expanding. To find parking area is turning into a primary concern. To design parking framework which is able to neglect physical efforts and also provide arena for vehicles parking. In later, instructive grounds are expanding which consist of Universities, designing, Art, Commerce and Science Colleges. The issue is parking spots either inadequate as indicated by the requests of understudies and staff or these spaces are ineffectively overseen. With each new individual entering college premises have an issue on grounds. In this method, we present the idea of the shrewd vehicle flow management. Here we will convey an Internet of Things (IoT) based framework which is utilized to detect the nearness and development of vehicles. Here, we have considered example of our V.I.I.T college campus to develop prototype which has 5 openings for each division. The vehicle flow management parking framework is creating in 2 stages. In the principal stage, the information, for example, vehicles utilized, offices, and so on about the educator and staff data will be gathered and information is grouped according to office. In the second stage, the observation camera is catching pictures of the vehicle. By utilizing a novel methodology like Quadrature lock-in Discrimination (QLD), decreasing poor visibility because of stray light or mist to peruse the vehicle plate number. For the majority of part, in existing propelled frameworks doesn’t give office shrewd separate stopping framework. We proposed a framework which has diverse vehicle flow management framework for various office and understudy/educator just from the office can stop in apportioned spaces. The framework utilizes Raspberry Pi has confederated with the Radio Frequency Identification (RFID) per user, associated with a website page by means of its integrated Wi-Fi. RFID tags are distributed to college members and slot allocation is given dynamically by system.
Machinability of Rolled Aluminum using Advanced Coated Cutting Tools 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., Banishree Bej Debajyoti ,   Mechanical Engg. Dept., VSSUT, Burla, India., Sarangi Saroj Kumar ,   Mechanical Engg. Dept., VSSUT, Burla, India.
Published: October 2019

Because of multiple properties like higher values of corrosion resistance, formability, weldability along with greater structural utility aluminum alloys are generally gaining more and more demand in industries and household. With this the requirement for searching of higher quality cutting tool to machine aluminum is also growing. Here different cutting tools like MTCVD+TiCN+Al2O3, MTCVD+TiCN+Al2O3+TiOCN, MTCVD+TiN+TiCN+Al2O3+TiN, PVD AlTiN, cemented carbide (k-10) insert brazed with Polycrystalline Diamond and Polycrystalline Diamond Inserts are being used to machine rolled aluminum in dry condition and then comparative analysis are made. The cutting is of orthogonal type and capstan lathe is used for the same. Under different conditions of cutting the surface roughness along with morphology of chip are analyzed. Under constant depth of cut (doc) along with variable velocities and feed, the turning operation is performed. With SEM and XRD the identification including characterization of cutting tool were also performed. The polycrystalline diamond tool is found to give optimum surface finish, thin type of chip along with mirror like finish during machining operation.
Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables
Authors:   Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India., Ranganayaki* Dr.S. , Kasthuri Dr.R. ,   Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India., Vasanthi Dr.P. ,   Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India.
Published: October 2019

An EOQ model with demand dependent on unit price is considered and a new approach of finding optimal demand value is done from the optimal unit cost price after defuzzification. Here the cost parameters like setup cost, holding cost and shortage cost and also the decision variables like unit price, lot size and the maximum inventory are taken under fuzzy environment. Triangular fuzzy numbers are used to fuzzify these input parameters and unknown variables. For the proposed model an optimal solution has been determined using Karush Kuhn-Tucker conditions method. Graded Mean Integration (GMI) method is used for defuzzification. Numerical solutions are obtained and sensitivity analysis is done for the chosen model.
Technology for Solving the Problems Related To the Implementation of the Concept of Preserving Capital in Accounting and Statistics
Authors:   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Kosolapova* Marina V. , Muravitskaya Nataliya K. ,   Ph.D., professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Tolmachev Mihail N. ,   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Melnikova Lyubov A. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Petrov Alexander M. ,   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia
Published: October 2019

At the present stage of economic theory development, a special role as a comprehensive indicator of the efficiency of activity is acquired by the current cost of the organization’s capital. The definition of the value of an asset was first explained by Fisher “The cost of a capital asset equals the sum of the present value of all future cash flow receipts” [17]. The concept of the current value of invested capital is the main tool for increasing the transparency of financial statements and a component of the concept of value and capital. In his work “The Nature of Capital and Income,” the American economist Fisher stated that "The theory of capital is that the value of an asset is equal to future cash receipts, reduced to present value based on the appropriate discount rate ”[1]. As for John Barr William, a well-known investor wrote in his book “The Theory of Investment Value” that “the value of any company is determined by incoming and outgoing cash flows, adjusted at a discount rate” [5]. The specific interpretation of capital by international standards largely determines the methodology for accounting for specific facts of economic life, as well as the approach to providing the financial position of an organization in its financial statements.
Proximity Matrix Completion and Ranking Ant Colony Optimization technique in Semantic web
Authors:   School of Computer Sciences, M G University, Kottayam, Kerala, India., Jose* Rubin Thottupurathu , Poulose Dr Sojan Lal ,   Principal, Mar-Baselious Institute of Technology and Science, Kothamangalam, Kerala, India.
Published: October 2019

The semantic web consists of a large number of data that is difficult to retrieve the answer for the user queries. An existing method in the query processing in the semantic web has three main limitations namely, query flexibility, query relevancy or lack of ranking method and high query cost. In this study, Proximity Matrix Completion technique (PMC) is applied to impute the missing data in the dataset that helps to increase the query flexibility and Ranking Ant Colony Optimization (RACO) technique is used to select the relevant features from the dataset and arrange them to increase relevancy. The result shows that the PMC-RACO method has a higher performance compared to the exiting method in semantic web. The mean precision value of the PMC-RACO method in sports data is 87%, while the existing method has the precision value of 83%.
An Anatomy for Recognizing Network Attack Intention
Authors:   Faculty of Electrical & Computer Engineering, Arba Minch University, Arba Minch, Ethiopia., Bijalwan* Anchit , Sando Satenaw ,   Faculty of Electrical & Computer Engineering, Arba Minch University, Arba Minch, Ethiopia., Lemma Muluneh ,   Dean Research, AMIT, Arba Minch University, Arba Minch, Ethiopia.
Published: October 2019

Research in the field of Network forensics is tremendously expanding with the tendency to help in arbitrating, capturing and detaining the exponential growth of the cyber crimes. With this expansion, the field of Network forensics is still not clear and is uncertain. In this paper, we have presented the architecture of an analysis mechanism for network forensics. The work followed by generic process model for network forensics investigation is also presented and discussed in detail. Overall this paper presents an overview of the network forensics architecture, generic process models to help a user in the times of emergency by considering the incident and thus maintaining the privacy and security policies.