bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerous Clustering Techniques with Application and Limitations in Wireless Sensor Network
Authors:   Computer Engineering department, Jamia Millia Islamia, New Delhi, India., kushwaha* Arvinda , Amjad Mohd ,   Computer Engineering department, Jamia Millia Islamia, New Delhi, India.
Published: November 2019

Wireless Sensor Network (WSN) is a very common area to work with different technology which is very useful for real time application. There are various application works with the help of WSN .some of internet of things, machine learning, big data etc. in WSN there are four basic component of WSN that is sensing unit, transceiver unit, processing unit, and storage unit. Energy is the important critical design issue in WSN. By applying clustering approach we can save the energy and attain load balancing of a network. Sensor nodes are viewed as homogeneous since the looks into in the field of WSNs have been advanced, however, a few nodes might be of various energy levels and it is draw out the lifetime of a WSN and its unwavering quality. Clustering methods are required so that sensor networks can work long time with different area. In this paper, we discussed the various clustering techniques those are helpful to maximize the lifespan of WSN.
Kinematics Analysis of Manipulator using Soft Computing Technique
Authors:   Department of ECE, YCOE, Punjabi University Guru Kashi Campus, Talwandi Sabo, Bathinda, India., K.* Ashwani , K. Vijay ,   Department of ECE, Amritsar College of Engineering & Technology, Amritsar, India., K. Darshan ,   Depatment of ME, Beant College of Engineering & Technology, Gurdaspur, India.
Published: November 2019

In this paper, the analysis and modeling of six joint axes of a robotic arm having three DOF spherical arm and three DOF spherical wrist have been done to solve the kinematics and inverse kinematics. Kinematics provides the rational explication of a robotic manipulator. For the analysis of industrial robotics manipulator a particular type of kinematics model is required. The Denavit Hartenberg criterion has been used to solve the kinematics equations. MATLAB, Firefly Algorithm (FFA) and Roboanalyzer have been used to get the home position and differences in error at different values of six-DOF manipulator. Error can be optimized to as low as 10-17with the firefly algorithm.
Optimization of Fin Spacing of Vertical Plate Fin Heat Sink in Natural Convection
Authors:   Asso. Professor Dept.of Mechanical Engineering Matoshri College of Engineeing Nasik Maharastra, Palande D.D. , Mahalle A.M. ,   Professor Govt. College of Engineering, Amaravati, India., Ghuge N.C. ,   Asso. Professor Dept.of Mechanical Engineering Matoshri College of Engineeing Nasik Maharastra, Belkhode P.N. ,   Dept. of General Engineering L.I.T. Nagpur
Published: November 2019

Heat sinks are frequently used in the cooling of electrical and electronics devices If the heat sink have very close fin spacing, it increases the surface area but reduces the heat transfer coefficient. On the other hand, if heat sink has wide fin spacing, it reduces the surface area but increases the heat transfer coefficient. Therefore, there is need to optimize the fin spacing that enhanced the heat transfer from the heat sink. A properly selected heat sink may reduced the operating temperature and reduce the risk of failure of components. A steady state natural convective heat transfer from aluminum plate fin heat sink was examined experimentally. The length and thickness of fin was kept constant while height were varied from 5mm to 25mm and spacing varied between 5.5mm to 17mm.After experimentation, it was observed that fin spacing plays important role than any other geometrical parameters. Response surface methodology is used for optimization of fin spacing. It is observed that optimum fin spacing of heat sink is 8.28mm.The error analysis is done with the help of ANN and flow visualization were done using CFD
Optimal Location and Sizing of Capacitors for Net saving Maximization in Radial Distribution System using ALO
Authors:   Assistant Professor, Department of Electrical Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India., Vijayalakshmi N. , Gayathri K. ,   Associate Professor, Department of Electrical Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India
Published: November 2019

The key factor for voltage stability of a distribution system is one among the most interesting areas of industry and research sectors far and wide. It considered the steady load activity and permissible voltage limits all over the network nodes. Of this, the capacitor is equipped for providing reactive power in the network which effects of limiting the power misfortunes and improves the voltage profile and stability of the system. In this paper, net saving maximization is consider as a target and as speaking to an expense of energy loss, installation, purchase and operating costs of capacitors. It is solved by using an Ant Lion Optimizer (ALO) algorithm. The ALO is to actualize the issue in order to maximize the objective of problem formulation. The fixed and switched type capacitors have used in this approach. The prevalence of the presented method is veteran on 34-node and 69-node systems. The assessment results of this approach are compared with the existing report.
Development of an ANN Model to Simulate the Auxiliary Power Generation from an Irrigation Barrage
Authors:   Research Scholar, Karunya Institute of Technology and Sciences, TamilNadu-641114, India., S. Koshy P. , G. Prince Arulraj ,   Professor and Dean, ,Karunya Institute of Technology and Sciences, TamilNadu-641114, India., J. Brema ,   Professor, Civil Engineering Department, Karunya Institute of Technology and Sciences, TamilNadu-641114, India.
Published: November 2019

The aim of this paper is to correlate the auxiliary power generation from an irrigation reservoir with the power generation of its upstream hydro power project in a cascade reservoir system. System considered for the study is the Pamba Basin- Kakkad Hydro Power Project and Maniyar Reservoir of Pamba Irrigation Project of Kerala State. In a water year from the 1st June to 31st May, irrigation period spans for seven months from November to May in the Irrigation Project. As the water release of the upstream Hydro Electric Plant exceeds the irrigation demand, even during the peak irrigating months of January and February, there is surplus inflow for power generation. A water year is divided to two seasons namely, Irrigation and Non-Irrigation. An Artificial Neural Network (ANN) based model is developed to optimize the power generation using the surplus water and the outputs are compared with the real time data. In the ANN model, the inputs considered are the Generation in units of the upstream Kakkad Hydro Electric Project (Kakkad-HEP), the Rainfall in the catchment and the Irrigation Supply. Spillage from the barrage and the Power Generation in the adjoining Carborandum Universal Madras India Ltd. company’s Small Hydro Electric Project (CUMI-SHEP) is considered as the output. The results obtained shows that the power generation from the ANN model closely matches with the real time data. Analysis is done with the aid of MATLAB ANN tool box.
A Methodology for Identification of Failures in Software Development Process
Authors:   Cse Department, Centurion University Technology And Management, Paralakhemundi, India., Seekoli Avinash , Yarramalle Dr. Srinivas ,   IT Department, GITAM Institute Of Technology, Vishakapatnam,
Published: November 2019

Software reliability is a branch of software engineering, which in specific deals with the performance of the software. In terms of identification of failures many methodologies that were present in the literature fail to identify the failure rate of a newly developed application. Hence the proposal article aims at understanding the failure rate at an early stage. The methodology proposed based on normal distribution.
Decision Support System and Integrated Asset Optimization (DSS & IAO)
Authors:   BHEL, Corporate Research & Development, Hyderabad, India., Prasad N.V.P.R. Durga , Radhakrishna Dr. C. ,   Professor of Ekectrical Engineering, Former Director UGC-ASC Jawaharlal Nehru Technolgical Unviersity Hyderabad, India,
Published: November 2019

In order to achieve the target of substations maintenance at minimum cost and high reliability, a comprehensive maintenance management system which will enable the execution of maintenance activities incorporating the various optimization strategies and policies is required. In today’s scenario for achieving effective maintenance number of systems, instrumentation technologies, etc. are in use to achieve the targeted benefits. At the substation level these systems are working independently and maintenance engineer is required to coordinate these systems for achieving the synchronization with the overall substation level. Computerized Maintenance Management System (CMMS) with built-in Decision Support System (DSS) are in use to address this issue. Present CMMS systems do not provide a comprehensive platform to implement DSS along with rule base expert systems for event based maintenance and other abnormalities management. In this paper a new platform DSS&IAO which is a comprehensive, integrated and expandable system for the substation maintenance management is proposed. Right from the preventive maintenance to condition based maintenance coupled with event based to equipment specific rule based expert system have been implemented. DSS&IAO is a platform wherein new optimization algorithms, new device interfaces, etc., can be easily incorporated.
Groebner Basis and its Applications
Authors:   Department of Mathematics, School of Applied Sciences, Reva University, Bangalore, India., Singh Yengkhom Satyendra , Lairenjam Benaki ,   Department of Mathematics, School of Applied Sciences Reva University, Bangalore, India.
Published: November 2019

This paper is a survey on Groebner basis and its applications on some areas of Science and Technology. Here we have presented some of the applications of concepts and techniques from Groebner basis to broader area of science and technology such as applications in steady state detection of chemical reaction network (CRN) by determining kinematics equations in the investigation and design of robots. Groebner basis applications could be found in vast area in circuits and systems. In pure mathematics, we can encounter many problems using Groebner basis to determine that a polynomial is invertible about an ideal, to determine radical membership, zero divisors, hence so forth. A short note is being presented on Groebner basis and its applications.
Antecedents to Employee Attrition Behavior in Indian IT/ITES Sector
Authors:   Depatment of Operations and IT, IBS, IFHE, Hyderabad, India, Parimi Sashikala , Chakraborty Samyadip ,   Depatment of Operations and IT, IBS, IFHE, Hyderabad, India
Published: November 2019

Attrition is the biggest challenges being faced by the HR managers in today’s competitive environment especially with IT/ITES sectors. The study identifies clarity, career growth and advancement, personal priorities and organizational environment as the vital antecedent factors which impacts employee attrition. Further through multi-group analysis the paper studies the impact of agile environment on the said relationships in low and high agile environment. The study uses exploratory factor analysis, confirmatory factor analysis and structural equation modeling for obatinig path linkages. In high agile group all the path linkages were highly significant and the path coefficients were stronger
Behaviour of Steel Reinforced Concrete Section with CFRP Wrapping Under Axial Compression
Authors:   Post Graduate student at department of civil engineering, SRM University, Chennai, India, Kethireddy Mounika , Juluru Srija ,   Assistant Professor at department of Civil Engineering, AVIT, Chennai, India.
Published: November 2019

The composite structural element under study is a carbon fiber wrapped, steel I section reinforced concrete column. The wrapped CFRP is under tension and reinforced concrete under radial compression. The aim of the research is to determine the behavior of the composite structural element under axial loads. The Stress-strain characteristics and load bearing capacity of control and CFRP wrapped tubular columns were determined experimentally. Further, Finite element analysis of steel, reinforced concrete and CFRP wrapped concrete columns sections, was conducted using ANSYS Workbench 15.0 software. The experimental and analytical results were compared.
Multi-Version-PulsatingSTM: A Multi-Version Optimistic Concurrency Control Scheme for Highly Parallel in-Memory Workload in a Multi Core Environment
Authors:   Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India),, Jafar* Sana , Rajnish Ranjana ,   Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India),, Kumar Pankaj ,   Department of Computer Science and Engineering, Sri Ram Swaroop College of Engineering and Management, Lucknow, India.
Published: November 2019

Large in-memory data structures have a significant application in the fields of graphics, gaming, military and all the possible areas where Big Data can be employed. Their fame in the area of science and technology is attributable to fast in-memory access by the processor as compared to on-disk data structures. These enormous data structures can be accessed still fast and efficiently through parallel computing. For employing highly parallel computations, equally parallel algorithms are required. One of the most desirable attributes of such algorithms is their ability to control concurrency and avoid any deadlocks while being time and energy efficient. This paper presents a multi-version optimistic concurrency control algorithm based on timestamping. This algorithm is lock free and is tested on 64 simulated CPU cores on a multi core simulator. The algorithm is a Software Transactional Memory approach employing 16, 32, 40 and 50 threads in different tests running on the simulator. Half of the threads are doing reading and half are doing writing operation in each case while accessing an in-memory dynamic array. Being lock free and employing lazy timestamp calculations, this approach is better than other existing concurrency control approaches.
A Robust Video Stabilization Method Based on Feature Point Extraction and Warping
Authors:   Professor and Head, Dept of E&TC Engineering in Smt Kashibai Navale College of Enginering, Pune, Jagtap Dr.Sonal.K. , Ghorpade Himali Babanrao ,   Assistant Professor in Smt Kashibai Navale college of Engineering, Pune, Dombale Kanchan Laxman ,   Department of Electronics and Telecommunication Engineering Smt Kashibai Navale college of Engineering, Pune
Published: November 2019

In recent technologies there are various applications which include a camera joined to a moving platform, for example, cars, drones and Unmanned Aerial Vehicles (UAV). The moving platform may suffer from vibrations which may cause unwanted motion in recordings that can cause degradation of performance in various applications like surveillance, tracking and detection of object. Stabilization of video in various applications is an emerging research area nowadays. To remove the unwanted motion from video, the stabilization is necessary to preserve the important content present in the video. In this paper the feature points from recorded videos are detected and then these feature points are extracted and matched. The obtained feature points are smoothed by K means clustering, a mesh grid on every video frame is set up and every grid is warped by matching and comparing the features points, from original video frame with the smoothed and stabilized feature points. The reduced distortions in the video are estimated from various parameters. The efficiency of algorithm is compared in which the robust video stabilization algorithm based on feature extraction and mesh grid warping obtains better improvement in Inter-frame Transform Fidelity (ITF) factor than the traditional video stabilization algorithm.
Strength Behavior of Lateritic Soil Treated With Alccofine
Authors:   Civil Engineering Department, Mar Baselios Christian College of Engineering and Technology-Peermade, Idukki, India., L Abhijith , Joy Joel ,   Civil Engineering Department, Mar Baselios Christian College of Engineering and Technology-Peermade, Idukki, India., Nair Gopu S ,   Civil Engineering Department, Mar Baselios Christian College of Engineering and Technology-Peermade, Idukki, India.
Published: November 2019

One of the factors that affect the long term performance of a structure is the strength of the underlying soil strata. Presence of weak soil strata beneath the structure will affect the structural integrity. So, enhancing the engineering properties of the weak soil results in the betterment of bearing capacity of the soil. Nowadays, for improving the stability of the weak soil, various soil stabilization techniques are adopted. This paper presents an investigation of using alccofine as a soil stabilizing agent. Variation in shear strength parameters and compaction parameters of the soil is studied by adding different percentages of alccofine 1101 such as 1%, 2%, 3%, 4%, and 5%. Test results revealed that at the optimal rate of alccofine 1101, the shear strength characteristic is increased by 53.71% after a curing period of 3 days.
Mechanics of Grains Size and Orientation on the Machining of AISI S-7 Steel Grade Using Numerical Technique
Authors:   Department of Mechanical Engineering, Centurion University, Odisha, India., Mohanta Dillip Kumar , Abhinav  ,   Department of Mechanical Engineering, Alliance University Bangalore, India., Mohanty Ardhendu Mouli ,   Department of Mechanical Engineering, Centurion University, Odisha, India.
Published: November 2019

Two-dimensional models namely homogeneous, uniformly distributed grains and non-uniformly distributed grains were developed for AISI S-7 steel grade metal, to investigate the effect of the grains size and orientation on the chip morphology and temperature rise during the orthogonal machining process. A Johnson-Cook model was used for the simulation study. The machining was done at a medium speed of 60 ms-1 and the depth of cut was maintained at 5 mm in all the above cases. Compared to other models, results showed that nonuniformly distributed grains develop alternate low and high shear bands and generate maximum temperature in the high shear band zone, which was found to be detrimental during the machining process compared to other models. Intergranular chip segmentation was observed in the case of uniformly distributed grains. For the same material, three different chip morphologies and temperature profiles were observed during the orthogonal machining process. Detailed discussion on the mechanics of machining of the above-said models was done that may be advantageous for material and tool design scientist.
Panoptical View of the Sentiment Analysis Techniques
Authors:   Assistant Professor, Department of Computer Science, Delhi University India., Vashisht* Geetika , Jaillia Manisha ,   Assistant Professor, Department of Computer Science, Delhi University India.
Published: November 2019

Sentiment analysis (SA) is a rapidly evolving field that aims at computationally categorizing the opinions of people about a particular product, movie, brand or anything that can be opined. It has changed the way the information is perceived and utilized by big business groups, brands and marketing agencies by demonstrating that the computational recognition of a sentimental expression is feasible. The fruition of Internet based applications has generated huge amount of personalized views on the Web. These reviews exist in different forms like social Medias, blogs, Wiki or forum websites. The boom of search engines like Yahoo and Google has flooded users with copious amount of relevant reviews about specific destinations, which is still beyond human comprehension. Sentiment Analysis poses as a powerful tool for users to extract the needful information, as well as to aggregate the collective sentiments of the reviews. This research will explore and compare the various techniques used for Sentiment Analysis in the last decade.
Hybrid PV Solar, PEM Fuel Cell and Battery with Active Power Management for Electric Vehicles.
Authors:   Electrical & Electronics Engineering Department, Sharda University, Greater Noida, India., Pany* Premananda
Published: November 2019

Hybridization of Different electrical sources helps to enhance the overall performance of electric vehicles. Due to the advantages of hybridization of power sources, in this work three energy sources such as Fuel cell (FC), Battery and solar have been considered to supply power adequately to electric vehicles. This paper focuses on power management of these three energy sources during vehicle driving. Because of their different characteristic, power sharing at different time and condition is different and the proposed control strategy demonstrates the active power sharing of the three energy sources. The feasibility of the proposed system is verified through computer simulation using matlab/simulink software. The demonstration of simulation results shows the performance of electric drive system is more satisfactory over the entire drive operation, fulfilling the power management rules and load requirement.
Near Dry and Powder Mixed Near Dry Electric Discharge Machining
Authors:   Mechanical Engineering Dept, Delhi Technological University, Delhi, India., Sundriyal Sanjay , Vipin  ,   Mechanical Engineering Dept, Delhi Technological University, Delhi, India., Walia *Ravinder Singh ,   Mechanical Engineering Dept, Delhi Technological University, Delhi, India.
Published: November 2019

Electric discharge machining (EDM) is a non conventional machining method to fabricate very tough and hard materials. Although EDM has played a vital role in machining industry but with advancement of technology, alternative advanced methods of machining have been evolved such as near dry EDM (ND-EDM) and powder mixed near dry EDM (PMND-EDM). These technologies have been proven more efficient than traditional EDM in terms of machining performance characteristics such as higher material removal rate (MRR), better surface finish (Ra) and low tool wear rate (TWR) with high tolerance quality products. In this study an approach has been made to draw experimental comparison between ND-EDM and PMND-EDM in terms of MRR, SR and TWR. The experimental result and analysis revealed that PMND-EDM was better machining method than ND-EDM as in the former technique, the M RR increased by 45.04 % while SR and TWR reduced by 45.33 % and 60.60% respectively.
A Rule Based Stemmer
Authors:   Department of Computer Science, Bishop Heber College , Tiruchirapalli, India., Priya R.Cynthia Monica , Sathiaseelan Dr.J.G.R. ,   Department of Computer Science, Bishop Heber College , Tiruchirapalli, India
Published: November 2019

The present digital world generates enormous amount of data instantaneously. The need to effectively mine knowledge seems to be the need of the hour. Sentiment Analysis, a part of web content mining which is a subpart of web mining has gained momentum in the field of research. It analyses the opinion of variety of people all over the world. Sentiment Analysis encompasses preprocessing, feature selection, classification and sentiment prediction. Preprocessing is an important process and it deals with many techniques. Stop word removal, punctuation removal, conversion of numbers to number names are some of the basic techniques. Stemming is yet another important preprocessing technique that reduces the different words form to its root. There are basically three types of stemmers namely truncating, statistical and hybrid. The aim of this paper is to propose a rule based stemmer that is a truncating stemmer. It deals with rules for truncation and replacement. The data given as input passes through a series of rules. If the condition specified gets satisfied then the associated rule gets executed otherwise the input is checked with the next rule and the process continues further. The result of execution is stemmed words. The performance of the proposed rule based stemmer is compared with the existing stemmers under the same rule based category namely Porter and Lancaster. Various metrics have been used for evaluation. The observations reveal the fact that the proposed stemmer out performs the Porter and Lancaster stemmers in terms of correctly stemmed words factor and shows a good average conflation factor and lesser over stemming and under stemming errors.
Gain Enhancement of Microstrip Antenna using Ebg Structure for Wi-Fi Application
Authors:   Department of E&C, VSM’SSRKIT Nipani, Kattimani Bharamappa , S Dr. Jagadeesha ,   Department of E&C, SDMIT Ujire
Published: November 2019

A microstrip patch antenna is low profile antenna mounted over a high impedance electromagnetic bandgap (EBG) substrate is proposed. In this paper, Microstrip patch antenna with rectangular EBG structure is proposed and studied. The proposed antenna has compact structure with a total size of 29.44x38.036mm2. The designed antenna resonates at Particular Single frequency with improved return loss, VSWR and gain. The resonant frequency of the antenna 2.4GHz without and with EBG and improved return loss of -17.61dB and -18.30dB. With rectangular EBG the antenna gives improved gain of 2.09 dB. The Proposed antenna is simulated by using Simulation software ie.(IE3D) and simulated results are in good with practical antenna characteristics.
Design & Implementation of Power Bank using Supercapacitor
Authors:   Department of Electronics & Communication Engineering, N. M.A. M. Institute of Technology, (Visvesvaraya Technological University, Belagavi) Nitte 574110, Udupi district, Karnataka, India., B. Bommegowda K. , Prasad Durga ,   Department of Electronics & Communication Engineering, N.M.A.M. Institute of Technology, (Visvesvaraya Technological University, Belagavi) Nitte 574110, Udupi district, Karnataka, India.
Published: November 2019

Portable power banks are comprised of battery in a case with a circuit to control power flow. Power banks are becoming increasingly popular because the battery life of phones, tablets and portable media players is exceeded by the number of time gadgets used in aday. In this paper, the design and implementation of power bank using supercapacitors as a charge storage device is presented. Existing power banks use batteries to store charges and it takes a long time to charge completely. In this work, batteries are replaced with supercapacitors to take advantage of its quick charging and slow discharging feature. Supercapacitors are charged using charging and regulation circuit. An output regulator circuit delivers the necessary power for charging portable devices. A display is also implemented using a PIC microcontroller for monitoring.
Improvisation of Coke Quality by Co-Carbonization of Vacuum Residue and Bio Oil: A Batch Process
Authors:   Graduate Engineer Trainee, Oriental Carbon and Chemical Limited, Dharuhera, India., Singh Prabhsimran , Singh Parminder ,   Assistant Professor in Chemical Engineering Department at Thapar Institute of Engineering & Technology, Patiala, India.
Published: November 2019

Effects of feed properties during co-carbonization of vacuum residue (VR) and bio oil feed mixed in different proportions in a batch reactor at temperature range of 480°C-490°C and at atmospheric pressure on coke lumps produced after reaction was studied and proposed based on experimental results obtained. Detailed experimental study was done on co-carbonization process of bio-oil and vacuum residue mixed in different proportions in an experimental setup capable of producing solid coke comparable to that produced in commercial delayed coker which helps to study effects of parameters like temperature and pressure on product properties. Product yield and specifications of products and feed were recorded and studied in terms of thermogravimetric analysis. Coke produced was analyzed as compared to Anode grade coke, for its spongy appearance and catalogued based on its properties when compared with anode grade coke. Addition of bio oil to vacuum residue up to 1:1 indeed ameliorate the hardness of coke and reduce the VCM content of coke, transforming it to better quality sponge coke and can be used as anode grade coke. Coke yield was improved by increasing micro carbon residue (MCR) weight percentage. Additionally, asphaltene content of feed directly contribute to solid product yield and gas yield reinforce the anisotropy of coke formed that govern the coke quality. Bio-oil enhance the gas yield till 1/1 mixture required to improve the coke quality.
Characterization of Friction Surfaced Deposits on Low Carbon Steel
Authors:   Assistant Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana, S Ravi Sekhar , V Chittaranjan Das ,   Professor, Department of Mechanical Engineering, RVR & JC College of Engineering, Guntur, Andhra Pradesh, D Govardhan ,   Professor, Department of Mechanical Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, Subbiah Ram ,   Associate Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana
Published: November 2019

Surfacing With Friction Is A Process Derived From Friction Welding With Advantages Over Commercial Fusion Welding Processes, With Solid Phase Bonding. Here An Experiment Is Conducted To Produce Friction Surface Coating For Three Different Materials Like Aluminum And Stainless Steel And Tool Steel M2 Coating On Low Carbon Steel By Friction Surfacing. The Aim Of This Work Deposition Of Different Materials Is To Identify The Feasibility Of Friction Surfacing And Industrial Applications, Testing Of Deposits For Quality Evaluation Are Carried Out.
A Report on Haui-Miner and Ehaupm Algorithms on Pattern Mining with Upper Limits
Authors:   Professor in CSE dept, GRIET, Hyderabad, India., Anuradha Dr. K. , Srilakshmi V. ,   Assistant Professor in CSE dept, GRIET, Hyderabad, India., Bandla Madhuri ,   pursuing master’s degree program in Computer science and engineering in GRIET, Hyderabad, India.
Published: November 2019

Utility-mining is the present developing discipline of information-mining. Utility-mining combines different structures such as High relevant item-set mining, Relevant successive item-set mining, Negative relevant item-set mining, Uncommon high relevant item-set mining and so forth. Each procedure of these item-sets mining doesn’t acknowledge length of item-sets. An ongoing improvement in the field of Utility-mining is high normal utility item-set mining. The normal Utility-mining deals with length of item- sets alongside the utility of item-sets. Here few calculations are introduced to recover high average relevant item-sets present in the database. Primary target of the present work was to look at the three High Normal Utility Models calculations:1)High Normal Utility Models (HAUP) calculation, 2)High Normal Utility Item-Set-Excavator (HAUI-Miner) Calculation and 3)Productive High Normal Utility Pattern-Mining (EHAUPM) calculation. The execution-time and memory-space are examined as achievement measures for correlation. The EHAUPM calculation is more efficient compared to other calculations; this is discovered from the performed analysis.
Mobile App for Grading of Peanuts using Fuzzy Inference System
Authors:   Associate Professor, Department of MCA, Siddaganga Institute of Technology, Tumkur, Karnataka, India, Karegowda Asha Gowda , R Pushpalatha.K. ,   Assistant Professor,Department of MCA,Sri Siddhartha Institute of Technology, Sri Siddhartha Academy of Higher Education (SAHE), Tumkur,Karnataka, India., P Pramod. ,   Student, Department of MCA,Siddaganga Institute of Technology, Tumkur Karnataka, India.
Published: November 2019

The peanut a globally adopted vegetable protein with appreciable nutritive contents. The grading is one of the significant way to ensure that quality of the peanuts regulate the appropriate price in market. The proposed work is carried out in two phases. As part of first phase segmentation is done using canny edge detection followed by extraction of four Shape Features (SF): Area (Ar), Major Axis (MajAxis), Minor Axis (MinAxis), Perimeter (PeriMt). As part of second phase, Fuzzy Inference System (FIS) has been adopted for grading of four categories of peanuts. .The interval scaled shape features obtained in phase one are converted to Linguistic Terms (LingTerms). The fuzzy data base rules are attained using Association Rules with the constraints that the consequent can have only class label. The proposed work is developed as mobile app which takes peanut image as input and processes the image using FIS and provides the output in terms of pie chart. The pie chart provides the percentage of different qualities of peanuts (low/medium/good/fine) in the input image. The proposed work resulted in an accuracy of 95% when compared with the ground truth. The work can be applied in automation process for grading of food grains using mobile apps, which helps the lay customer to know about the quality of peanuts. The work can also be used for auto separation of peanuts for packing based on grade of the peanuts.
Discriminant Analysis and Hilbert Huang Based Power Quality Assessment
Authors:   Department of Electrical and Electronics Engineering, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, India, Datta Stuti Shukla , Dhanda Namrata ,   Department of Computer Science and Engineering, Amity University Uttar Pradesh, Luknow Campus, Lucknow, India
Published: November 2019

This work deals with Hilbert Huang transform and discriminant analysis based assessment of power signals. Hilbert Huang transform is a combination of Empirical mode decomposition (EMD) and Hilbert Transform. EMD is a data assisted processing technique that works on the time scale difference between local extremas (maxima and minima points of a signal). Unlike Fourier Transform, Wavelet Transform and Stockwell Transform, EMD does not employ any basis function or a window function and highly depends on the data of the signal. Power system is a highly vulnerable system subjected to several technical constraints and hence deviation of power signals from their normal level is inevitable. Thus, in order to study the reasons that cause the deviation of normal values, signal processing technique based on EMD is applied to power signals which are obtained by simulating various power scenarios in MATLAB Simulink platform. Decomposed components are then transformed in the frequency domain using Hilbert Transform. Hilbert transform helps in the extraction of features of the signal in consideration. These features are then subjected to discriminant analysis based classifier to identify the class of the raw input. Efficiency of the methodology is evaluated and results obtained are highly promising.
Use of KNN Classifier for Emotion Recognition Based on Distance Measures
Authors:   Department of Electronics and Telecommunication, Government College of Engineering, Amravati/ Sinhgad Academy of Engineering, Pune, India., Bharate Vishal D. , Chaudhari Devendra S. ,   Department of Electronics and Telecommunication, Government College of Engineering, Jalgaon, Jalgaon, India., Chaudhari Mayur D. ,   Data Architect, Parkar Labs, Pune, India.
Published: November 2019

Human-computer interaction (HCI), in recent times, is gaining a lot of significance. The systems based on HCI have been designed for recognizing different facial expressions. The application areas for face recognition include robotics, safety, and surveillance system. The emotions so captured aid in predicting future actions in addition to providing valuable information. Fear, neutral, sad, surprise, happy are the categories of primary emotions. From the database of still images, certain features can be obtained using Gabor Filter (GF) and Histogram of Oriented Gradient (HOG). These two techniques are being used while extracting features for getting the expressions from the face. This paper focuses on the customized classification of GF and HOG using the KNN classifier.GF provides texture features whereas HOG finds applications for images exhibiting differing lighting conditions. Simplicity and linearity of KNN classifier appeals for its use in the present application. The paper also elaborates various distances used in KNN classifiers like city-block, Euclidean and correlation distance. This paper uses Matlab implementation of GF, HOG and KNN for extracting the required features and classification, respectively. Results exhibit that the accuracy of city- block distance is more .
Load Frequency Control of Photovoltaic-Gasifier for Interconnected Two-Area Power Systems
Authors:   Department of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna, Tak, Thailand., Yukhalang Sawat
Published: November 2019

Load frequency control (LFC) in interconnected power system of small distribution generation (DG) for reliability in distribution system. The main objective is to performance evaluation load frequency control of hybrid for interconnected two-area power systems. The simulation consist of solar farm 10 MW and gasifier plant 300 kW two-area in tie line. This impact LFC can be address as a problem on how to effectively utilize the total tie-line power flow at small DG. To performance evaluation and improve that defect of LFC, the power flow of two-areas LFC system have been carefully studied, such that, the power flow and power stability is partially LFC of small DG of hybrid for interconnected two-areas power systems. Namely, the controller and structural properties of the multi-areas LFC system are similar to the properties of hybrid for interconnected two-area LFC system. Inspired by the above properties, the controller that is propose to design some proportional-integral-derivative (PID) control laws for the two-areas LFC system successfully works out the aforementioned problem. The power system of renewable of solar farm and gasifier plant in interconnected distribution power system of area in tie – line have simulation parameter by PID controller. Simulation results showed that 3 types of the controller have deviation frequency about 0.025 Hz when tie-line load changed 1 MW and large disturbance respectively. From interconnected power system the steady state time respond is 5.2 seconds for non-controller system, 4.3 seconds for automatic voltage regulator (AVR) and 1.4 seconds for under controlled system at 0.01 per unit (p.u.) with PID controller. Therefore, the PID control has the better efficiency non-controller 28 % and AVR 15 %. The result of simulation in research to be interconnected distribution power system substation of area in tie - line control for little generate storage for grid connected at better efficiency and optimization of renewable for hybrid. It can be conclude that this study can use for applying to the distribution power system to increase efficiency and power system stability of area in tie – line.
Prioritizing and Positioning of Thailand’s Program of OTOP Product for Elderly using AHP
Authors:   Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University., Suttipong Ratanaree , Wangmai Athiwat ,   Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University., Phanphet Suwattanarwong ,   Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University., Reungsri Saowaluk ,   Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University., Chattinnawat* Wichai ,   Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University.
Published: November 2019

One Tambon One Product (OTOP) is one of the major enabler of Thailand to stimulus local entrepreneurship to support locally made products of Thailand's 7,255 Tambons (sub-district). This OTOP program has been initiated since 2001 and has substantially generate incomes for local entreprenuers. Currently, five groups of OTOP product have been promoted and used by Thai Government to gaurantee the quality of the OTOP product. However this research aims to utilize the nexus model of academia–policy maker and business to develop an approach to derive the product improvement policy to increase business market opportunities for the elderly cosumers in Thailand. This research studies and identified differences of needs among each group of product. This research conducted large systematic focus groups on 1,275 elderly consumer together with expert interview and quantitative analysis to identify the top three groups of OTOP product that need to be strategically emphasized. Four new criterions of Business, Opportunity, Self- Sustainability, and Environment were developed and used as criteria to identify and prioritize the needs of those five OTOP groups. The AHP technique was employed to identify the weights and compare the five major groups with respect to those developed criteria. This results were used for the government to position the OTOP product that meet the need of elderly consumer segment. The results of the analysis lead to strategic action plan for product and process development of northern Thailand OTOP developemt program. This proposed concept helps Thai govenrment to effectively exercise OTOP program policy mobility and evolution.
Multiport DC-DC Boost Converter for Utilization in PV System with Improved Gain
Authors:   School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamil nadu, India., Gokhe Salil , C Umayal. ,   School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamil nadu, India., G* Kanimozhi. ,   School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamil nadu, India.
Published: November 2019

Consumption of energy is progressively rising at a regular rate. To accommodate the demand for electric supply with the exhaustion of typical resources like fossil fuels, renewable energy sources like solar power, wind farms and fuel cells are preferred. DC-DC multilevel converters with high gain appear a crucial segment of the renewable energy system. When compared with common topologies the multilevel DC – DC converter has low harmonic distortion, less stress in voltage, minimum EMI noise, and a raised efficiency. To use photovoltaic (PV) systems for standalone applications or micro grid applications, the low output voltage should be boosted to a certain level, i.e a 400V micro grid will be fed with a boost converter having 20V input voltage and gain of 20 to have 400 V at its output.
Anaerobic Treatment of Dye Wastewater for the Removal of Organic Pollutant
Authors:   Assistant Professor, Department of Civil Engineering, Government Engineering College, Thanjavur, Tamilnadu, India., T Kavimani. , Balaji Dr.K. ,   Assistant Professor, Department of Civil Engineering, University College of Engineering, Anna university, Panruti Campus, Tamilnadu., Poongothai Dr.S. ,   Professor, Department of Civil Engineering, Annamalai University, Chidambaram, Tamilnadu., Senthilkumar PL. ,   Assistant professor, Department of Civil Engineering, Government College of Engineering, Thanjavur,, Ali Dr.J.Mohamed Ashik ,   Lecturer , Department of Civil Engineering, Srinivasa Subbaraya Government Polytechnic College. Puthur. Nagai dist.
Published: November 2019

The removal of cotton textile dye wastewater to the environment is a greater problem by its toxicological and aesthetical reasons. Many physicochemical methods were employed for treating the cotton textile dye wastewater. High cost and dangerous products produced by the physicochemical treatment reduce using these treatment methods. Hence the biological processes are employed for treating the cotton textile dye wastewater due to its cost effectiveness and less toxic effects. . Bio filter can be an effective solution for producing high quality water and saving water for recirculation. Bioball gives 80% reduction efficiency in BOD whereas Fixed filter media gives approx. 70% reduction efficiency in BOD The overall performance of the HUASBR achieved maximum COD removal of 87% at 24hrs HRT respectively. It is clearly understood that the % COD reduction is directly proportional to the HRT. Hence the HUASBR is suitable for treating real textile dye wastewater even upto 1300mg/l efficiency.
Implementation of Heric Transformer-Less Inverter with Multiple Sources
Authors:   EEE department, Alagappa Chettiar Government College of Engineering & Technology, Karaikudi, TamilNadu, India., A Arunya Revathi
Published: November 2019

In this paper, the implementation of HERIC transformer less inverter with variable energy sources as input is discussed.In order to get better efficiency, instead of using normal inverter transformer-less HERIC inverter had been used. The HERIC inverter contains fewer amounts of leakage current and conduction losses. Due to various climatic conditions, anyone of the energy sources (solar/wind) deliver low power. At that condition, the proposed structure is used to compensate the load requirement with the useful of battery. UP-PWM modulation is used in this proposed work.The performances were examined by using MATLAB/Simulink software. The hardware implementation of the proposed model is also discussed.
An Optimal Algorithm to Improve Resource Utilization in Cloud Data Centre
Authors:   Elakkya Manoharan, Deepika.U, Arunkumar.KEaswari Engineering College, RamapuramRamapuram Chennai, India, Raja S.Kanaga suba , Hema Mrs.M. ,   Easwari Engineering College , Chennai, India
Published: November 2019

Cloud Computing Plays significant role in all type of business due to it features of measured service. so 89% of business are moving toward cloud that increases more number of data centers. Because of this there is more carbon dioxide emission.utilizing data centres for the efficient usage of client requests is major issue in the growing scenario amongst cloud users. Waiting for the data in queue for a long period of time increases the delay to obtain specific data. Our system focuses on reducing the delay of users, increasing the bandwidth thus giving an optimized system in cloud using software defined network. The software defined network has a central control over the entire system which efficiently manages the client requests. We have used the genetic load balancing algorithm to process the client requests in an orderly manner to enhance the data distribution between the various users of cloud.