bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Modified Particle Swarm Optimization Algorithm for Image Contrast Enhancement
Authors:   MCA Department, PSNA College of Engineering and Technology, Dindigul, India., Balasubramanian* K. , Marimuthu Rajinikannan ,   Associate Professor, Department of Computer Applications, PSNA College of Engineering and Technology affiliated to Anna University, Chennai, India., Katharine Vanitha ,   Associate Professor, Department of Computer Applications, PSNA College of Engineering and Technology affiliated to Anna University, Chennai, India., R. Muthumeenakshi ,   Assistant Professor, Department of Computer Applications, PSNA College of Engineering and Technology affiliated to Anna University, Chennai, India., Sivakumar Dr. G. ,   Librarian, PSNA College of Engineering and Technology affiliated to Anna University, Chennai, India
Published: February 2020

Image contrast enhancement is mostly preferred approach for Medical Image Processing field. In this work, a new Histogram Specification (HS) based image contrast enhancement scheme is described. The optimal values of the weighing constraints are progressed through the standard of Modified Particle Swarm Optimization (MPSO) with respect to the histogram of the input processed images. The proposed scheme improves the contrast of the input processed image superior than its existing histogram equalization methods. Henceforth, this method can efficiently be utilized in the fields including image processing, electronics etc. The overall evaluation of the HS scheme can be computed by means of Discrete Entropy (DE) and Contrast Improvement Index (CII).
Extracting Information from Microblogs Posted During Natural Disasters
Authors:   Associate Professor in the department of CSE, School of Computing & IT, Manipal University Jaipur, India., Vishwakarma* Dr. Santosh K. , Chandel Rishabh Singh ,   Master’s Student in Computer Science & Engineering from Gyan Ganga Institute of Technology and Sciences, Jabalpur, India., Hora Parul ,   Masters Student in Computer Science & Engineering Department of Gyan Ganga Institute of Technology and Sciences, Jabalpur, India.
Published: February 2020

Social Networking websites plays an important role in our life. The usage of the above websites is in every domain of our lives and they have increasingly infused itself into daily life. In recent years, the social networking websites such as Twitter, Facebook, are used in natural disasters. Many features have been included in Twitter for fast responses in such kind of unexpected events. This paper is based on the experiments performed on the 2017 Microblog Track provided by Forum of Information Retrieval & Evaluation. The Classification schemes are used with two predefined labels as need and availability. The various pre-processing and natural language processing techniques are applied before the training of the model. The experiments showed that the classification accuracy is increased when the term weight is modified by using the information gain method and using the SVM classifier. This system automatically annotated the FIRE-2015 dataset of microblog track with 97% accuracy.
Solving Random Travelling Salesman Problem using Firefly Algorithm
Authors:   Department of Computer Engineering OM Engineering College, Junagadh, India., Sureja* Dr. Nitesh M
Published: February 2020

The firefly algorithm is a recently developed optimization algorithm, which is suitable for solving any kind of discrete optimization problems. This is an algorithm inspired from the nature. In this paper, a firefly algorithm is proposed to solve random traveling salesman problem. The solution to this problem is already proposed by the algorithms like simulated annealing, genetic algorithms and ant colony algorithms. This algorithm is developed to deal with the issue of accuracy and convergence rate in the solutions provided by those algorithms. A comparison of the results produced by proposed algorithm with the results of simulated annealing, genetic algorithms and ant colony algorithm is given. Finally, the effectiveness of the proposed algorithm is discussed.
Stock Prediction Analysis by using Linear Regression Machine Learning Algorithm
Authors:   department of EECE, GITAM Deemed to be university, Visakhapatnam, India., Rao* Sankranti Srinivasa
Published: February 2020

Stock market is varying day to day. Many factors such as government policies, industry performance, market sentiment etc are the main cause of up and downs in stock market. To invest money in stock market, study and analysis of stock market is essential. This type of analysis can be done by using Machine learning algorithms. The main objective of this paper is to predict the stock market future values by using linear regression machine learn algorithms based on past values. The methodology is developed and implemented in python on APPLE and TSLA stock.
Development of Air Contolled Cotton Cleaning Machine in Blow Room
Authors:   Department, Mechanical Engineering, Walchand Institute of technology, Solapur., Hibare* Mr.Prasad Sanjeev , Deshmukh Dr. B.B. ,   Asassistant professor, Department, Mechanical Engineering, Walchand Institute of technology, Solapur.
Published: February 2020

In textile industries cleaning of cotton is essential due to impurities which are present in the cotton such as firestones, leaves, seeds etc. fibre cleanliness influences the processibility of cotton and yarn. Coventional machineries used for cleaning uses mechanical beaters for opening and cleaning of fibers. The change in the settings of beaters at different stages of blow room changes the cleanliness of fibres For this purpose firstly we need to study conventional cotton cleaning machine.This this paper deals with the air controlled cotton cleaner whose main advantage is that it does not required to change the setting at all and also the compressed air which is available in mill premises itself and also it requires less maintainence and damage to fibers are less than conventional machinery
Seamless LTE Wi-Fi Architecture for LTE with Efficient UE Authentication
Authors:   E&TC Engineering, Satyabhama Institute of Science and Technology, Chennai, India., Shinde* Bhausaheb E. , Vijayabaskar Dr.V. ,   E&TC Engineering Satyabhama Institute of Science and Technology, Chennai, India.
Published: February 2020

Due to heavy demand of data uses and exponential increase in mobile users mobile network is suffering from heavy traffic overload in the metropolitan area network. Therefore, due to congestion as well as network overload mobile users are experiencing coverage issues such as latency, network access and very low throughput. At present network operators are actually capping data usages and throttling in speed of connection have very negative impact on satisfaction of mobile users. In such a scenario alternate solutions are expected like access point (AP) based network can be used as a complementary network. In this paper we have proposed a seamless LTE-Wi-Fi architecture by using packet gateway in LTE and Wi-Fi for maintaining the seamless connectivity for users and Wi-Fi is used as a complementary network over LTE. This proposed architecture has ANQP-DS (Access network query protocol Data Server) and AZC (Access Zone Control) are two main components to Wi-Fi network for balancing and controlling the load of User equipment’s (UE) in between access points (AP). It can used as one of the mechanism in the LTE and Wi-Fi Integration Process.
A Smart Automobile for Intelligent Traffic System using VANET Protocols
Authors:   Department of Computer Science and Engineering, Swami Vivekananda Subharti University, Meerut, India., Anubha*  , Patel Krishan Mohan ,   IoT Research and Development, Xtrans Solutions Private Limited, Bangalore, India.
Published: February 2020

The overall automobile industry in the world has encountered remarkable growth, vehicle increases traffic density which seems in increasing accidents. Thus the automobile Industries, researchers and government are shifted their focus in the direction of improving on-road safety instead of improving the condition of the roads. The top development in the wireless technologies emerged a diverse new sort of networks together with Vehicular Ad Hoc Network, VANET uses wireless network technology wherein driving gets safer by inter-vehicle communication. Using this technology, automobiles are not only envisioned to contact between each other, but also to get information from and transmit data to infrastructural units. In this, we have discussed about the traits and applications of VANET along with routing protocols. The routing protocols states how two communiqué individuals interchange information which covers the methods to generate path, to retain the route or improve from routing fiasco. In this we have explained two routing protocols i.e. Topology based routing protocol and Geographic (Position-based) routing protocol with its types, advantages and disadvantages as well as we have examined the performance of AODV and GPSR routing protocols using quality matrix.
Service Technology in Enterprises
Authors:   Z.V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Smirnova*
Published: February 2020

This article reveals the essence of the service process in service activities organizations. It analyzes the service activities and ways to improve the work of enterprises in the service sector. Examples of the application of after-sales service at service enterprises are given. The main features of improving the organization of the enterprise.
Identification of Autism Spectrum Disorder (ASD) using Autoencoder
Authors:   Department of CSE, GMR Institute of Technology, Rajam 532127, AP, India., R* Priya Vaijayanthi , Gunturu Ashok ,   UG Student, Department of CSE, GMR Institute of Technology, Rajam 532127, AP, India., Krishna Vamsi ,   Department of CSE, GMR Institute of Technology, Rajam 532127, AP, India.
Published: February 2020

Deep Learning (DL) techniques are computational models based on representation learnings. They are demonstrated to be the best reasonable strategies to deal with information with various portrayals and with numerous degrees of reflection. Recognizable proof of ASD has been a test as there is no demonstrated reason for it. The issue has been tended to by numerous specialists with the utilization of fMRI. As MRI and its varieties have 3D representations, Machine Learning and Deep Learning techniques are appropriate to deal with and handle them. This paper extends the recognizable proof of ASD from fMRI pictures utilizing Autoencoder organize. The examinations are led on the benchmark dataset ABIDE II. Results uncover that DL strategies are bringing out better classifiers delivering a great degree of arrangement exactness.
Meteorological Factor Multivariate Models Affecting Solar Power Prediction using Long Short-term Memory
Authors:   Dept. Of Information and Communication Engineering, Honam University, Gwang-Ju Korea., Son Nam Rye , Yang* Seung Hak ,   Dept. Of Electrical Engineering, Honam University, Gwang-Ju, Korea.
Published: February 2020

Solar power systems have been recently installed in buildings to efficiently manage their energy consumption and production in them. Because electrical energy is produced and consumed simultaneously owing to its physical nature, it is necessary to predict the exact solar power necessary to maintain a stable power supply. To manage the building energy management system (BEMS) effectively, this paper proposes 6 models (solar radiation, sunlight, humidity, temperature, cloud cover, wind speed) and compares the performances of these models. Through this comparison, we solved the traditional long short-term memory (LSTM) problem and proposed a new LSTM. It was determined that the meteorological factors for forecasting solar power varied by season. The performance was shown in order of solar radiation, sunshine, wind speed, temperature, cloudiness and humidity at annual average. Additionally, the proposed LSTM performed better than the traditional LSTM.
Portable Food Balls Extrusion Machine
Authors:   Dean, College of Education Central Bicol State University of Agriculture Philippines., Bonito* Ana Maria A.
Published: February 2020

This study developed a portable extrusion machine for food balls products. The study used the Research and Development (R&D) process for it involved the preparation and construction of a finished product that can be used in the field of education. The extrusion machine’s cost efficiency was 10 times better than the manual method but twice lower compared to the commercial machine. There was significant variation in the weights of the food balls produced by the three methods, and the instructional and commercial value of the machine obtained an overall mean rating of 4.46 or very satisfactory. Thus, it is technically feasible to construct the portable extrusion machine in view of the expected functionality of the designed parts, the availability of supplies and materials and affordability of its cost. The construction of the machine requires procedure to follow for ease and accuracy. The portable extrusion machine is superior over the manual method but inferior to commercial units as to production ratio. Furthermore, it is more economically viable to use the portable extrusion machine for small-scale food balls production than the manual method. Potential for technology transfer/ generation and business incubation should be conducted before its release in the Philippine market
Combined Impact of Viscous Dissipation, Heat Source and Radiation on Mhd Flow Past a Exponentially Stretching Sheet with Soret and Dufour Effects
Authors:   Department of Science and Humanities, Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, Telangana State. INDIA, Reddy B Narsimha , Maddileti P ,   Department of Mathematics, Mahatma Gandhi University, Nalgonda, Telangana State, INDIA, Reddy* B Shashidar ,   Department of Science and Humanities, Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, Telangana State. INDIA.
Published: February 2020

This paper is perpetrated to inspect the impact of viscous dissipation, Heat Source, Radiation and Soret and Dufour on heat mass transfer MHD flow past a exponentially stretched sheet. The equations governing the flow restricted with boundary conditions are altered to a group of non-linear coupled O.D.Es by means of appropriate transformation. Initially the equation of momentum is linearized and then are converted to a group of linear equations by applying implicit finite difference scheme. The group of linear equations is solved numerically by Thomas algorithm. The impact of diverse parameters are discussed through graphical representations and tables. The study reveals that the magnetic field reduces the fluid velocity. Temperature and fluid Concentration drops down with an hike in Dufour number. Raise in Dufour number, rate of heat transfer drops but and mass transfer enhances.
Non-Conventional Factors for Keystroke Dynamics as a Support Factor for Authenticating User
Authors:   Sardar Patel Institute of Technology, Mumbai, India., Raul* Nataasha , Shankarmani Radha ,   Sardar Patel Institute of Technology, Mumbai, India. Padmaja Joshi, CDAC, Mumbai, India.
Published: February 2020

Keystroke Dynamics Are Most Frequently UsedIn Situation Where Password Security Is The Major Concern. In The Event That The User’s Secret Word Is Disclosed, AndThe Keystroke Rhythm Of The Genuine Client Is Known, The Application Will Not Accept The Fake User In Spite Of Having Valid Credentials. This Paper Focuses On Strengthening The Keystroke Dynamics By Introducing Non-Conventional Features For Authenticating A User Using Static Keystroke Dynamics. The Paper Also Discusses The Improvement In Far, Frr, Err, And Accuracy After The Application Of The Proposed Non-Conventional Feature Set Along With The Existing Timing Feature Set.
Assessment of Fluctuations in Traffic Noise Levels with Simultaneous Traffic Density
Authors:   Ph.D scholar, Civil engineering department, Sardar Vallbhai National Institute of Technology, Surat, India., Yadav* Manoj M. , Tandel Bhaven N. ,   Assiatant professor, Civil engineering department, Sardar Vallbhai National Institute of Technology, Surat, India.
Published: February 2020

Transportation is one of the important pillars of the nation’s economic and overall growth. As transportation is very important, it has its negative impacts on the environment as well as human health. One of its negative impacts is traffic noise pollution. This paper focuses on the study of the relation between traffic density and an increase or decrease in noise levels. The study has been conducted in Surat city, India (tier 2). The noise levels were monitored in a total of 5 stretches and 12 locations of a busy commercial area of Surat city for the day time. Traffic count was done in the form of 2 wheelers, 3 wheelers, 4 wheelers, bus, and trucks. It was found that noise levels in the area are 77dBA, which is higher than the permissible standards set by the Central Pollution Control Board (CPCB) in the Government of India. Also, the study indicates that, if the number of vehicles is increasing, it is not necessary that the equivalent noise level should increase and vice versa, because noise levels are dependent on a lot of other factors like traffic flow, honking of horns, lane indiscipline, unauthorized parking, heterogeneity of vehicles in traffic. Heterogeneous nature of traffic in India and lane indiscipline by vehicle users, traffic often gets congested which results in honking of horns. Ttraffic noise levels are not always directly proportional to traffic count, they may fluctuate very randomly, due to reasons enumerated above.
Improving AI Planning using Map Reduce
Authors:   Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia., Elkawkagy* Mohamed , Elbeh Heba ,   Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Published: February 2020

Today, the Landmark concept is adapted from the classical planning to work in hierarchical task network planning. It was shown how it is used to extracts landmark literals from a given hierarchical planning domain and problem description and then use these literals to update the the planning domain by ruling out the irrelevant tasks and methods before the actual planning is performed. In this paper, we compine the landmark concept with the Map-reduce framework to increase the performance of the planning process. Our empirical evaluation shows that the combination between landmark and Map-Reduce framework dramatically improves performance of the planning process.
Nano Alumina Based High Strength Concrete
Authors:   Assistant Professor, Civil Engineering Department, Jamia Millia Islamia, New Delhi, India., Rahman* Ibadur , Dev Nirendra ,   Professor & Head, Civil Engineering Department, Delhi Technological University, Delhi, India.
Published: February 2020

Very recently, the world of nano technology has initiated to fabricate new materials owing to the demand for their use in enhancing the properties of different materials in general and, materials used in the construction industry in particular. In this study, the results of an exhaustive experimental analysis, on the use of nano alumina with cement powder to enhance the grade and strength of concrete has been undertaken. The influence of the nano alumina in concrete with different proportions has been studied to assess mechanical properties of concrete with reference to normal concrete. The test results indicate that the use of nano alumina in concrete has enhanced the mechanical properties of hardened concrete. This nano alumina based high strength concrete (HSC) has an enhanced compressive strength of 64.17 N/mm2 (MPa) after 28 days, which is a significant improvement over normal concrete. All the mixes having nano alumina in different proportions gave better results as compared to normal conventional concrete mix. The Rebound Hammer, Ultrasonic Pulse Velocity, SEM and TEM analysis further validate the above findings.
Potency of Red Mud Concrete by Partial Replacement of Cement with and without Hydrated Lime
Authors:   M-Tech student, Civil Engineering, Department at Institute of Aeronautical Engineering college Dundigal, Hyderabad (Telangana) India., Singh* Takoor. Ankith , Baraik Suraj ,   Assistant Professor in Civil Engineering at Institute of Aeronautical Engineering college, India.
Published: February 2020

The study was carried out to know the properties of concrete by using red mud as the cementious material in concrete mix. The Bayer procedure for the alumina from Bauxite metallic is described by low vitality talent and it brings approximately the advent of noteworthy measures of resiude like, extra bauxite deposits defined as red mud. Currently red mud is produced almost at equal mass ratio to metallurgical alumina and is disposed into sealed or unsealed artificial impoundments (landfills), leading to important environmental issues. In the present study an experimental investigation was conducted on M40 grade red mud concrete to check the workability, strength and durability with and without using hydrated lime. Seven mix trials are taken for this study like 0%, 10%, 20%, 30%, 40%, 50% and 60% of red mud with and without 5% hydrated lime..
A Machine Learning Model to Identify Duplicate Questions in Social Media Forums
Authors:   Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India, Panda Sandeep Kumar , Bhalerao Vivek ,   Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India., AR* Sathya ,   Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India.
Published: February 2020

In recent years, digital platform forums where question and answers are being discussed are attracting more number of users. Many discussions on these forums would be repetitive nature. Such duplicate questions were provided by Quora as a competition on Kaggle. It is observed that the dataset provided by Quora, requires many modifications before training machine learning models to obtain a good accuracy. These modifications include feature extraction, vectorization and tokenization after which the data is ready for training desired models. While analyzing each model after prediction, it gives plenty of information about its efficiency and many other factors. Later, these information of different models are compared and helps to choose the best model. These models later can be combined and used as a single model with best accuracy. In this paper, a Machine Learning model which will predict duplicate questions is proposed.
Performance of Exterior Column Beam Connections as built at site
Authors:   Research Scholar, Department of civil Engg. DBATU Lonere, Maharashtra, India, Gujar* Abhay , Pore Dr. Sachin M. ,   Associate Professor, Department of civil Engg. DBATU, Lonere, Maharashtra,India.
Published: February 2020

Comparing performance of ill detailed and ductile detailed connections as per IS: 13920 was the prime aim of this study. It was by and large observed during literature review that, usually investigations are done at laboratory casting and curing conditions. How-ever, site conditions are grossly different from laboratory conditions. It is a general experience that the ductile detailing is rarely followed at site. Thus it was felt necessary to investigate performance of such ill detailed constructions at site testing conditions. Specimen for this experiment were manufactured by site people at site conditions and cured at site conditions. A 6-storied MRF constructed in Satara (IS: 1893, Zone 3) was analyzed. An exterior column-beam connection from first slab was chosen for assessment. Design for seismic requirements was carried out referring to suggestions from latest revisions of IS :1893 and IS: 13920. Four 0.3:1 scaled down specimen from actually site sourced concrete and steel were constructed. Out of the four, two were detailed as per actual site practice. Two specimen were detailed as per IS:13920. Specimen were subjected to reverse cyclic displacement loading protocol. It was observed that latest revisions from IS codes ensure that beam fails prior to the connection. Overall performance characteristics were seen improved in case of ductile detailed connections.
Heart Disease Prediction using Supervised Machine Learning Algorithms
Authors:   CSE, Vellore Institute of Technology, Chennai, India., Yeturu* Sri Sai Saran Reddy , Sarobin M Vergin Raja ,   CSE, Vellore Institute of Technology, Chennai, India., Anbarasi Jani ,   CSE, Vellore Institute of Technology, Chennai, India., Gunapathi Mohith Krishna ,   CSE, Vellore Institute of Technology, Chennai, India., D Helen ,   CSE, Amet University. Chennai, India,
Published: February 2020

Generally, the most complicated task in the healthcare field is the diagnosis of the disease itself. The diagnosis phase in disease detection is usually the most time-consuming task and is prone to most of the errors. Such complications can be effectively handled if the disease detection process is well automated by incorporating effective machine learning algorithms trained with some benchmark datasets. It should also be noted that huge amounts of data that are acquired from Heart Specialization Hospitals are being wasted every year. In this paper, various classification algorithms have been used to train the machine to diagnose heart disease. By a comparative study of various learning models, we have identified the appropriate learning model for the heart disease dataset. Initially, the work will begin with an overview of various machine learning algorithms followed by the algorithmic comparison.
Noise-Tolerant Circuits in Deep-Submicron using Delay Pass Transistor Circuit
Authors:   Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, KSA Dept. of Computer and Systems Engineering, Faculty of Engineering, University of Alexandria, Egypt., Mahmoud* Hanan A. Hosni
Published: February 2020

In this paper, we propose a technique to increase the noise tolerance significantly over that of the existing circuit components and design styles. The paper proposes noise tolerance in the discrete, yet interrelated, areas of computational components design, powerless/groundless design style, dynamic circuit style, and memory design. Our results indicate a huge gain in noise-tolerance over the existing circuits and styles. The circuit components and design styles, developed by the technique, are integrated into architectures to study and demonstrate the combined effects of the techniques. This will be in addition to observing and analyzing the individual noise-tolerances of each components and circuit styles developed. We are proposing the limiter pass transistor technique, which is a new method to immune dynamic circuits from noise. Our proposed technique demonstrates 5.9X times gain in noise tolerance over the convectional dynamic circuit and 3.0 X gains over the best known method in the literature. Based on the preliminary proposed technique, we expect to come with dynamic circuit styles that can provide an order of magnitude more noise-immunity.
Active and Reactive Load Ability Improvement using BBO Algorithm with FACTS Devices
Authors:   Electrical Engineering Department, National Institute of Technology,Jamshedpur,Jharkhand,India., Gupta* Sushil Kumar , Kumar Lalit ,   Electrical Engineering Department, National Institute of Technology,Jamshedpur,Jharkhand,India., Kumar Kar Manoj ,   Electrical Engineering Department, National Institute of Technology,Jamshedpur,Jharkhand,India., Kumar Sanjay ,   Electrical Engineering Department, National Institute of Technology,Jamshedpur,Jharkhand,India., Singh Gaurav ,   Electrical Engineering Department, National Institute of Technology,Jamshedpur,Jharkhand,India.
Published: February 2020

Biogeography-based optimization (BBO) technique is used for the optimal positioning of FACTS devices under various loading cases in IEEE 14 bus system. In this paper, the effects of active and reactive loadings are studied and power flow analysis is performed for the proper placement of FACTS devices. The suggested method with active and reactive loading using FACTS devices is compared with Krill herd algorithm (KHA). It is found that the BBO algorithm improves real power loss, operating cost and system loadability significantly.
Optimal Virtual Machines Placement in Cloud Computing Environment
Authors:   DCS, Babasaheb Bhimrao Ambedkar University, Lucknow, India., Kumar* Narander , Awasthi Mayank ,   DCS, Babasaheb Bhimrao Ambedkar University, Lucknow, India., Kumar Surendra ,   DCS, Babasaheb Bhimrao Ambedkar University, Lucknow, India.
Published: February 2020

In the cloud computing frameworks, when utilizing virtualization technology, the client's mentioned information data or storing away assistance is obliged by a lot of imparted virtual machines (VM) in a scale and flexible way. These VMs are put in at least one server point as per the point stores capacities or probabilities. The VM arrangement accessibility refers to the probability that in any event one lot of all client's mentioned VMs works during the requested. In this research paper we proposed an algorithm for better VM placement load balancing. Allocation is made based on the Assignment Problems arrangement strategy idea, which is planned for cloud computing. Assignment issues whose decision making parameters are summed up numbers as triangular fuzzy set as well as Centroid Ranking Technique is used for ranking the dataset. The linguistic variables are used to change the subjective information into quantitative information. Another positioning strategy is proposed to defuzzify the fuzzy numbers, trailed by Hungarian system for ideal cost and time. A numerical model is proposed methodology for better assignment of VM in the physical machine for cloud computing environment.
A Qualitative Interpretation of Code Clone Detection Techniques
Authors:   Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India., Kaur* Amandeep , Sharma Sandeep ,   Head Professor, Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India.
Published: February 2020

Clone is the software code snippets that are similar to each other with little modifications. There is a 10-20 percent clone mostly present in the software. Many techniques are developed for detection. With the code clone detection, the software developer gets an idea of removing, refactoring the clone. Code clone has both advantages and disadvantages in the particular software. In this paper, we explore the types of code clones, advantages, and disadvantages, the reason for cloning. Typically, this paper describes various techniques by using several parameters. Lastly, we discuss gaps in the research.
An Elasto-Plastic Ball Bearing Contact with Bilinear Hardening
Authors:   Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Yau* Leong Chee , Zamri* Wan Fathul Hakim W. ,   Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Din Muhammad Faiz Md ,   Department of Electrical & Electronics, Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur, Malaysia., Mohamed Intan Fadhlina ,   Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Ariffin Ahmad Kamal ,   Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Published: February 2020

This study is an analytical evaluation of contact and wear on ball bearings using the finite element method. Ball bearings are used in various sectors, such as in the automobile, turbine and aircraft engine industries, to reduce rotational friction and support radial loads. Nevertheless, ball bearings often experience failure due to wear as a consequence of contact pressure. The contact between the ball bearing components will affect the surface of the balls, and the inner and outer rings. Therefore, the main objective of this study was to examine the stress distribution and elasto-plastic deformation in order to analyse the contact between the ball bearing components. Most of the existing contact and wear models for ball bearings only take into account the elastic model. However, an analytical evaluation of contact and wear using an elastic model, while ignoring plastic deformation, is inaccurate. In this study, a contact analysis was performed using elasto-plastic models of a ball bearing, and the results were validated using data from a previous research. Boundary loads of between 100 N to 800 N were applied and plasticity values of 550 MPa, 1050 MPa, 1550 MPa and 2050 MPa were used to analyse the contact behaviour. As the boundary load increased, the maximum contact pressure and displacement of the ball bearing increased. As the plasticity, E2 rose higher, the maximum plastic strain was lowered proportionally.
Physicomechanical and Operational Properties Polyurethane Thermal Panels
Authors:   Kazan (Volga region) Federal University, Kazan, Russia., L. N. Shafigullin , N. V. Romanova ,   Kazan (Volga region) Federal University, Kazan, Russia., M. I. Sotnikov ,   Kazan (Volga region) Federal University, Kazan, Russia., A. A. Bobryshev ,   Kazan (Volga region) Federal University, Kazan, Russia., V. T. Erofeev ,   National Research Mordovia State University, Saransk, Russia., S. A.* Korotaev ,   National Research Mordovia State University, Saransk, Russia.
Published: February 2020

Evaluation of consumer properties of polyurethane thermal panels is the goal of the work. Physico-mechanical and operational characteristics of thermal panels are determined to achieve the purpose of the work. Methods of IR spectroscopy and thermo gravimetric analysis were used to study the structure of the samples. Satisfactory consumer properties of the studied thermo panels are brought out: compliance of clinker with the DIN EN 121 standard; absence of visual defects and change of color of thermo panels after 50 cycles of freezing-thawing; absence of changing color of thermo panels after influence of UV of radiation with the wavelength of 240-320 nanometers within 607 hours 30 minutes; high values of coefficients of sound absorption in the frequency range from 600 to 1600 Hz; low heat conductivity of the FPU layer. The influence of UV-radiation on thermal stability of foamed polyurethane is valued. Thermal analysis methods and IR spectroscopy are used to assess the degree of UV - destruction of polyurethane foam. At destruction of foamed polyurethane there is a rupture of chemically weak communication and formation of alcohols, air, olefins. The results of IR-spectroscopy illustrate the beginning of the processes of destruction of samples of FPU under the influence of UV-radiation. Using the thermo gravimetric analysis the research of the FPU thermal properties under the influence of UV - radiations is conducted. It is established that compositions from FPU under the influence of UV- radiation have lower temperature of the beginning of decomposition, than initial material. The influence of UV-radiation on heat stability of the studied compositions is shown. The possible mechanism of destruction of FPU is confirmed in the research. The DSС method has estimated the resistance of FPU to the oxidizing influence characterizing the material operation time. The studied consumer properties of thermal panels show that they can be used in civil engineering as effective protection structures of buildings.
Trust Computation using Belief Model in Mobile Ad Hoc Network Avoiding Ballot Stuffing and Bad Mouthing
Authors:   Information Technology department, L.D.College of Engineering, Ahmedabad, India., Diwanji* Hiteishi
Published: February 2020

Trusted path in MANET ensures packet delivery and reduces the packet dropping which results in a saving of bandwidth and energy of the mobile node. Trust path finding mechanism has been proposed in the literature based on direct and indirect observations and applying Bayesian theory, Dempster-Shafer theory involving probability logic. In this paper, we studied trust computation problem in MANET with predefined fixed movement and random movement (frMANET) to compute trust to get over bad mouthing and ballot stuffing. Our scheme(frMANET scheme) is based on subjective logic based belief model involving uncertainty in behavior. We use consensus for parallel paths and discounting for transitive paths. We use public key based digital signature to deal with nonrepudiation. This identifies the node if denying that it is bad mouthing or ballot stuffing. Unlike trust management in a conventional scheme that computes trust based on packet dropping and forwarding, we have added a parameter - state of the node indicating priority work and unable to participate notification. We include service rating as well considering file sharing and file downloading as service rating parameter. We have evaluated University case study of a course offered by a professor in university to the enrolled and not enrolled students. The simulation results show an increase in packet delivery ratio with marginal overhead in average message transmission. The scheme helps in avoiding unnecessary fluctuations in trust values of trustworthy nodes and also ensures less computational overhead. This research is helpful when communication is frequent and failure of delivery of message is not tolerable in MANET and nodes need to be rated for goodness.
Statistical Modelling of Groundwater for Environmental Sustainbilty
Authors:   Professor, Department of Civil Engineering, Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India., Moparthi* Dr. Satish Kumar , Kumar Mr. Ambati Dattatreya ,   Assistant Professor, Department of Civil Engineering, V. R. Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India., Kumari Ms. G. Venu Ratna ,   Assistant Professor, Department of Civil Engineering, P.V.P. Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India., Sankar Mr. P. Siva ,   Assistant Professor, Department of Civil Engineering, Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India., Reddy Mr. A. Vijaya Bhaskar ,   Assistant Professor, Department of Civil Engineering, Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India.
Published: February 2020

In the worldwide calculations groundwater of urban areas has been depleting very rapidly by leaving its huge scarcity for the upcoming future generation due to uncontrolled and unpredictable census year by year along with migrations from rural to urban areas, at the other face the available groundwater is becoming polluted due to the unscientific handling like over lifting of water years together from one particular point which caused intrusion of pollutants in to the underground aquifers along with releasing of chemicals and other pollutant substances on the open ground as well as in to the nearby water bodies are the prime reasons for groundwater contamination. Modeling of groundwater with respect to its quality along with the quantity is an immediate need to be taken why because groundwater plays vital role and very important component to meet the total requirement of water lifting from the underground aquifers for both domestic and agricultural needs. By lifting water from the same point there is a possibility for deteriorating of water content in that aquifer and it may leads to permanent destruction of water quality in that respective aquifer, to overcome these consequences the modeling technique where withdraw of water will be regulated along with injection of water into the aquifer can be adopted. In the present study we have identified ten sampling localities from Guntur municipal corporation, Andhra Pradesh, India by considering severe problems associated with groundwater in both quality and quantity point of view, in all the locations five sub locations were identified for water sampling. Samples were collected for three times from the bore wells and hand pumps, average of three times analysis was considered as final values. Analysis was done by using standard analytical methods. The results were compared with IS 10500 -2012 drinking water quality standards to get the scenario of water quality.
Thermal Performance Improvement of a Fin-Arrayed Horizontal Heat Sink Corroborating Optimal Orientation Angle
Authors:   Department of Mechanical Engineering, Dr. B.C. Roy Engineering College, Durgapur, 713206 (W.B.), India Department of Mechanical Engineering, National Institute of Technology, Durgapur, 713209 (W.B.), India, Mandal* Pabitra Kumar , Sengupta Sayantan ,   Department of Mechanical Engineering, National Institute of Technology, Durgapur, 713209 (W.B.), India, Rana Subhas Chandra ,   Department of Mechanical Engineering, National Institute of Technology, Durgapur, 713209 (W.B.), India, Bhanja Dipankar ,   Department of Mechanical Engineering, National Institute of Technology, Silchar, 788010 (Assam), India
Published: February 2020

The present study deals with a simple but effective technique for improving the forced convective cooling of a horizontal heat sink with vertical pin-fin-array.The pin fins are embedded in a staggered arrangement on thebase-plate of the horizontal sink. Air, while passing through the fin-array, convects the heat conducted from the solid base-plate to the fins’ surface. The objective of this paper is to examine the role of the orientation angle (  ) on the performance of the heat sink.  is varied from 0 to 360by rotating the horizontal sink about a vertical axis passing through the center of the sink. A detailed CFD (computational fluid dynamics) study is coordinated over a wide range of inflow Reynolds number ( Re) to explore the possibility for obtaining an optimum orientation angle (  ) for which Nusselt number ( Nu ) would be the maximum. Results indicate that optimum angle hovers around   120regardless of the values of Re.
Deep Learning Classifier for Gene Expression Datasets using a Hybrid LSTM Network
Authors:   Pursuing, Ph.D, Computer Science, Bharathidasan University. Tamil Nadu, India., Mercy A.* Immaculate , M. Chidamabaram ,   Assistant Professor, Computer Science, Rajah Serfoji Government College (RSGC), Thanjavur. India.
Published: February 2020

A deep learning system Long Short-term memory (LSTM) is incorporated for the classification of differentially expressed genes which causes certain abnormalities in the human body. The LSTM is employed along with the K-Nearest Neighbour (KNN) algorithm so as to achieve the classification to its precision. The feature selection process plays a vital as some of the existing algorithms tend to neglect the features of concern. The classification further leads to enhanced prediction method. The K-Nearest Neighbour method is used to filter the correlation degree between each value with target value. This hybrid algorithm has a clear leverage over the existing methods. This work is well supported by the Feature Selection which includes a hybrid of Principal Component Analysis and the CHI square test. This hybrid approach provides with a good feature selection which aides in the seamless flow of the process towards classification and prediction. The Eigen values and the Eigen vectors are computed which effectively leads to the identification of Principal components. The Chi Square test is implemented for calculating the scores. The features that are obtained are ranked by these scores and the datasets which has the highest scores are further taken for training. The algorithms employed in this work has a clear advantage over the Bayesian networks as the Bayesian networks are prone to errors within the layers which may cause the values to explode or vanish. The accuracy of the classification and the prediction process achieved is unsurpassed when compared to the existing methods.
Security and Authentication Scheme for Software Defined Network
Authors:   Senior Assistant Professor, Electronics and Communication Engineering, City Engineering College, Bangalore, INDIA., S.* Ravindra. , Dr. Shankaraiah  ,   Professor and Head, Electronics and Communication Engineering, JSS Science and Technology University (Formerly SJCE), Mysore, INDIA
Published: February 2020

Software-Defined Network (SDN) is regarded as one of the most significant areas for future networking. SDN architecture is a revolutionary new concept that offers more mobility, a high degree of automation and shorter delivery time by pushing the conventional network to be software-based. SDN architecture dynamically separates the control plane from the network data (forwarding) plane, providing a centralized view of the network as a whole and making it easier to manage and monitor the resources of the network. Furthermore, the SDN's initial design, with its centralized control point, does not accurately perceive the security requirements, which poses additional challenges to security issues. Security and authentication scheme in SDN is being surveyed in this paper providing advances in this field to both the research community and the industry. Then start with a list of identified threats to security and SDN breaches. The article analyzes previously outlined security and authentication solutions for SDN. The challenges in securing the network from the attacker are discussed and the holistic security approach required for SDN is described. It will identify future directions for research that will be key to providing network security in SDN.
Multi Objective Flexible Jobshop Scheduling Problem using Heuristic Algorithm
Authors:   Assistant Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., Vigneshwaran* M. , Gowtham S. ,   Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., Jayapranesh M. ,   Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., Mohanakumar A.N. ,   Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., Ahamed S Ljaz ,   Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: February 2020

Flexible workshop problem (FJSP) is an extension of the classic job shop problem (JSP) that allows one operation that can be performed from a collection of alternative machines on a single machine. It is closer to the actual condition in manufacturing. Due to the additional conditions to assess the allocation of system operations, FJSP is more It's also a typical problem in combinatorial optimization. But the difference is that all the workers in the shop floor may or may not be handled in all the computers. In just one machine or two machines, a job can be processed or a separate task in all machines may have to go through the processing in order to be finished. Each computer has different work sequences. So it's an internet str complex. The classical workshop scheduling problem varies from the problem of the flow shop and the work flow is not unidirectional. It is more complex than JSP, combining all JSP's problems and complexities. All workers have the same operations series. In this field, in the objective of minimizing "make period time" and mean flow time, the problem is considered with bi-criteria.. nitially manual calculation is done with the question of literature and then with the method of Gantt chart for collecting industrial data.