bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of fuzzy combined SVM & graph theory for agriculture productivity prediction
Authors: Prabakaran Gunasekaran , Vaithiyanathan Dhandapani , Ganesan Madhavi 
Published: December 2020

Abstract
A fuzzy integrated support vector machine and graph theory concepts are represents the data models for predicting a production. On this account, it has been used in various platforms such as agriculture, medicine, and various engineering applications. Therefore, the development of new computational development for predicting the productivity of events in terms of farming structure is very significant in agriculture. This method used fuzzy integrated support vector machine and graph theory to perform structural tasks suggested by crop influencing factors. Finally, the results obtained illustrate the advantage of predicting the rate of productivity, in addition to the importance of system recommendations that fail to produce the expected output volume at the time of setup or fail to produce the expected output quantum.
A numerical study on inverse quadratic optimal shape parameter in interpolation problems
Authors: Chanthawara K , Kaennakham S 
Published: December 2020

Abstract
The main purpose of this work is to shed more light into the inverse quadratic radial basis function (RBF) in the application of interpolation. This RBF contains a parameter that plays a crucial role in determining the final result quality. Five strategies of variable shape parameters are numerically investigated. Both types of node distribution; normally and scattered, are considered. It is discovered that good results can be obtained when using some strategies particularly in 1D problem. Challenges become appearing when dealing with 2D and deserves further study.
Safe Eternal m - secure sets in Graphs
Authors: Reji Kumar K. , Satheesh E.N. 
Published: December 2020

Abstract
An eternal 1-secure set, in a graph G = (V, E) is a set D ⊂ V having the property that for any finite sequence of vertices r
1, r
2,…,rk
, there exists a sequence of vertices v
1,v
2,…,vk
and a sequence D = D
0, D
1, D
2,…, Dk
of dominating sets of G, such that for each i, 1 ⩾ i ⩾ k, Di
= (D

i-1 − {vi
}) ∪ {ri
}, where vi
∈ D

i−1, and ri
∈ N[vi
], where ri
= vi
is possible. The cardinality of a smallest eternal 1 - secure set in a graph G is called the eternal 1 - security number of G. This situation can be interpreted as defending an attack at the place ri
by moving a guard from vi
to ri
, where guards are deployed at the places, which are represented by the vertices in D

i−1. An eternal m - secure set is defined in a similar way with only one exception that in response to an attack more than one guards can move to its adjacent locations to defend an attack. A vertex is safe eternal m - secure if it is either adjacent to exactly one vertex in an eternal m - secure set or present in the set itself. In this paper we study some properties of safe eternal m - secure sets. Safe eternal m - security number (σsm
) is the minimum cardinality of all safe eternal m - secure sets in a graph. We also find the safe eternal m - security number of some classes of graphs.
Interleaved high power improved two-stage flyback inverter for photovoltaic applications
Authors: Kavathekar Gajkumar R , Patil Manoj D 
Published: December 2020

Abstract
The interleaved flyback converter is used to increase the power level and decrease the current ripple, Harmonics, passive component size, and total cost. The topology of flyback is used for lower output power in micro inverters. The flyback converter in this paper is designed for high output power. The grid is developed based on the interleaved topology of flyback converter, which is connected to central type photovoltaic inverter. The principles of the converter operation are discussed in detail. In MATLAB software the designed converter is simulated. Dual-stage flyback converter interleaving is being investigated for flyback inverter design rated at 01KW. The conversion system is run in DCM, providing a quick, easy to monitor dynamic response and no losses due to switchover action. As 90.16 percent, 3.9 percent and 0.998, the proposed efficiency of flyback inverter, total harmonic distortion, and the power factor were calculated.
Design and analysis of a three stage CMOS op-amp using indirect feedback compensation
Authors: Kumar Kandi Praveen , Vaithiyanathan D 
Published: December 2020

Abstract
With the rapid change in CMOS technology, the scaling has resulted in faster transistors. But the rate of decrease in threshold voltage is too low. The intrinsic gains from the transistors is diminishing and hence the open-loop gain. This led to paths for the techniques like vertical stacking which is not well suited for low power designs and has constraints on swing. Thus, horizontal cascading must be used to achieve higher gains for the op-amp at lower VDD. This paper presents a simple three stage class A op-amp using Indirect Feedback Compensation. The op-amp has been designed and simulated at 180nm process and it produces an open-loop gain of 84.7db, 45.65MHz unity gain frequency, 89° phase margin and 14.45V/μSec SR and it is capable to drive a 30pF load.
Degradation studies of electrical, physical and chemical properties of aged transformer oil
Authors: Siva Sai R , Rafi J , Farook S , Kumar NMG , Parthasarathy Meera , Ashok Bakkiyaraj R 
Published: December 2020

Abstract
Transformer is crucial equipment in the transmission of electric power. Various types of insulating materials used in the transformer among those mineral oil or transformer oil is used for the insulation. To reduce the failure percentage of transformer it is necessary to maintain the purity of oil. This paper investigates work on different properties of aged transformer oils and pure transformer oil. The aged oils are taken as filtered and unfiltered after using in the transformer. The electrical, physical and chemical properties are investigated for pure and aged transformer oils. UV-spectroscopy is used to test the quality of oil based on the absorbance value and FTIR analysis is performed to determine the functional groups existing in the pure and aged transformer oils. The results showed that breakdown strength is less for used transformer oil due to formation of acidic functional groups. The absorption peak is high for unfiltered oil followed by filtered oil and pure oil.
Performance analysis of double tail dynamic comparators
Authors: Sonar S , Vaithiyanathan D , Mishra A 
Published: December 2020

Abstract
Low power high speed and high precision comparator circuits are studied. Dynamic comparators are key building block for the implementation of analog to digital converters, sense amplifiers. High precision, low voltage operation, lower power consumption, high speed, less offset voltage and more reliability and are some of the important factors in designing the dynamic comparators. Since one circuit cannot provide all the mentioned properties, attempt is being made to study the performance of some dynamic comparators and compare their properties to ease the selection of suitable comparator circuit depending on the application. The circuits were rebuilt using GPDK (General Purpose Design Kit) 180nm CMOS technology in Cadence virtuoso tool.
Wide band rectangular wearable microstrip ring antenna with textile substrate and its performance after washing
Authors: Roy Pritam Singha , Guha Moumita , Roy Chandan Sinha 
Published: December 2020

Abstract
In this paper introduced a wearable wideband rectangular microstrip patch antenna, fabrication and measurement of different parameters of designed antenna. The textile cotton material was used as substrate in the designed antenna. Here the very thin layered copper material sheet was selected as a ground plates and radiating elements. The conductive copper sheet was mounted on the textile materials by synthetic adhesive. We designed a ring antenna based on ring resonator techniques and measured the dielectric constant of the textile substrate material. The variation result of the proposed antenna with variation of thickness of the textile substrate has been investigated. For performance characteristics, three textile antenna with different substrate as wool, jeans and corduroy material are used.
Renewable energy powered DC charging system for electric vehicle
Authors: Jyothi P , Saketh P , Vignesh Ch , Kirthika Devi V S 
Published: December 2020

Abstract
Recently, Electric Vehicles (EV) have pulled in a great deal of consideration attributable to the utilization of clean energy. However, the challenge is that developing number of EVs implies request in charging is tremendous which will aggregate the power grid load. In this paper, a renewable based DC charging system is introduced which integrates power from sun, wind and battery energy storage system (BESS) to provide an uninterruptible power supply for the load. Variable irradiance and wind speeds are considered for this study. Incremental conductance method with boost converter and hill climb method with buck converter are implemented in solar and wind respectively to maximize the system efficiency. Three phase uncontrolled diode bridge rectifier is used to convert the AC power output of wind to DC power. Surplus amount of power generated is preserved in the battery storage system which is retrieved in the absence of renewable sources. A bidirectional converter is designed to allow the forward and reverse flow of power. A controller is designed using PID to limit the discharge current of the storage system. Modelling and validation of proposed system is done using MATLAB Simulink platform.
Single image haze removal using variable fog-weight
Authors: Shoaib Mohammed , Mohsin Mohd , Ansari Imbeshat Khalid , Maddhesiya Harshat , Acharya Upendra Kumar 
Published: December 2020

Abstract
In this paper, a new Image Haze Removal technique is proposed using variable fog-weight. The objective of the proposed technique is to improve the visibility, to remove the impact of weather factors and make image more usable. To achieve this, it is required to estimate the transmission map as well as atmospheric light by using Dark Channel Prior. The main contribution in this work, is to vary the fog-weight during transmission estimation. It is varied according to the density of haze in the input image. If the density of the haze in the input image is low, then lower fog-weight value will be applied and if the haze density in the input image is higher, than higher fog-weight value will be applied, according to the haze concentration. A guided filter is used as a refiner of transmission map to avoid the halo artifacts at the boundary of the edge. It provides smoothness to the image and build-up the visibility of the image, so that we restore a superior haze free image. At last, the performance of the proposed method is compared with some of the existing methods in terms of visibility, computational time and avoidance of halo effect.
A novel reconfigurable G shaped patch antenna for wireless IoT applications using BAR64-02W PIN diode
Authors: Vamseekrishna A , Madhav B T P , Rammohan B , Tanna Rajesh 
Published: December 2020

Abstract
In this paper, a novel reconfigurable antenna for wireless IoT operations is proposed.The antenna dimensions of 27.5 x 8 x 0.8 mm3 and fabricated on the FR-4 dielectric substrate with a hlaf ground plane. The desined antenna works in the frequency range of WiMAX, I.S.M. and X band (3.2-3.8 GHz, 5.2-6.9 GHz, and 7.1-10 GHz). The frequencies can be reconfigured by one P.I.N. diode BAR64-03W, and antenna attained the gain ranging of 2.84-3.26 dBi. The proposed antenna has bidirectional radiation at higher-frequency bands and unidirectional at lower frequency bands. The suggested frequency reconfigurable antenna has a radiation efficiency of 96.12% at 3.5 GHz and 94.34% at 5.9 GHz,92.02% at 8.4 GHz in ON state. Antenna giving the best agreement between the measured and simulated results (C.S.T. Microwave Studio)
Dynamic torque response improvement of direct torque controlled induction motor
Authors: Kumar Dasari Deekshith , Praveen Kumar N 
Published: December 2020

Abstract
Induction motor is extensively being used with variable frequency drive (VFD) in variable speed service. Direct Torque control (DTC) of induction machines is simple compared to the Field oriented control (FOC). Although DTC has advantages there are some disadvantages like torque ripple is high, switching frequency is variable. This paper proposes a dynamic over modulation strategy which can be implemented in DTC to improve the dynamic response and to reduce the torque ripple. The objectives are achieved by switching voltage vector that produces the most tangential component to the circular flux locus. The principle advantage of the proposed technique is its effortlessness, since it requires a minor change to the conventional DTC-hysteresis-based structure. 80% reduction in torque ripple and 40% improvement in dynamic response are achieved in the proposed method compared to conventional method.
A Microstrip Patch Antenna with Enhanced Bandwidth for Millimeter Wave 5G Application
Authors: Balachandran Pooja , Nidadavolu Avinash , Kumar Om Prakash , Vincent Shweta , Ali Tanweer 
Published: December 2020

Abstract
The cellular network of 5G works in the centimeter wave (3-30 GHz) and Millimeter-wave (30-300GHz). Here worldwide a vast amount bandwidth remains unused. A new microstrip antenna of dimension 10 × 10 × 1.6 mm3
has been designed and simulated using HFSS for Millimeter wave (MMW) applications, in this paper. The proposed antenna shows wide bandwidth, stable radiation patterns, and enhanced reflection coefficient at 24.5 GHz for possible 5G use. It shows impedance bandwidth of 2.05GHz(23-26 GHz) with a maximum gain of 6.32 dBi.
Reduced switch z-source multilevel inverter using constant boost control methods for renewable energy sources
Authors: Nagaraja Rao S , Rohith H M , Kiran Kumar B M 
Published: December 2020

Abstract
This paper presents single phase seven level Reduced Switch Z-Source Multi-level Inverter (RSZSMLI) for Renewable Energy Sources (RES). The performance ofRSZSMLI topology is analysed using Constant Boost Control (CBC) methodsbased on sine reference and third-harmonic reference Phase Shift Modulation (PSM) techniques. RSZSMLI will have three DC sources, three Z-source networks, ten power switches and ten main diodes. In the suggested RSZSMLI topology, the output voltage is not limited to summation of DC input voltagescompared to traditional Multilevel Inverters (MLIs).The output voltage can be amplified with shoot-through ratio (K) of Z-source network.Hence, additional DC to DC converter is not required and the topology is more immune to short circuit. The RSZSMLIis analysed using two CBC methods with variable shoot-through ratio (K) to gain additional boost capability. The performance of the RSZSMLItopology is validated with simulation results using MATLAB/SIMULINK.
Evaluation of chemical composition and appraisal of groundwater appropriateness for drinking and agricultural practice in rural areas near Rania city of Haryana state, India
Authors: Kumar Parul , Jain Sushma 
Published: December 2020

Abstract
Haryana being the green land of the nation is highly cultivated state with a huge consumption of agrochemicals. The present study area Rania is the agricultural dominated area where the economy mainly depends upon agriculture. The present work emphasizes on the evolution of the hydro chemistry of the groundwater. For this, 30 representative groundwater samples have been collected in the month of May 2017 and analyzed for a number of quality parameters. Based upon the results of the quality analysis, a number of parameters such as Kelly’s index (KI), Sodium absorption ratio (SAR), residual sodium carbonate (RSC) and magnesium ratio (MR) have been considered to evaluate the aptness of groundwater for irrigation. Chloro-alkaline indices and Gibb’s ratios were calculated to understand the hydrochemistry of groundwater. A comparison of the results of the quality analysis has been made with the WHO standards to check the fitness for consumption. Pearson’s correlation coefficient has been used to establish the connection among various parameters.
Foamcrete construction blocks using industrial wastes- A sustainable approach
Authors: Jose Sajan K , Soman Mini , Sheela Evangeline Y 
Published: December 2020

Abstract
There is a wide growth in construction industry in recent years, which is a very important area of concern for all the stakeholders. There is a wide-ranging diminution of natural resources, especially river sand. Also, the current statistics shows that for the production of one ton of cement, there is a discharge of one ton of carbon dioxide, which creates lot of environmental pollution. This has directed the investigators to find a more sustainable solution. Hence this study is oriented towards the development of a new building material in foamed concrete, in which natural river sand is completely substituted with manufactured sand, which is being substituted partially with quarry fine dust, which is an industrial by-product. The production of alternate building blocks using fly ash, GGBS and quarry dust can be very effectively used for the overwhelming construction processes. The consumption of industrial by-products in foamcrete, compensates the deficiency of natural resources, which solves the disposal of the above waste materials and safeguards the nature. With the use of this foamcrete blocks (density less than 1800 kg/m3) as infills, slender sections can be designed for the framed construction works. Correspondingly, the thermal insulation properties of foamcrete blocks make it more acceptable in the present construction scenario. This is an attempt to focus the attention to discuss the utilization of industrial wastes in construction blocks. It has been observed that the construction blocks, made with these industrial wastes, have similar strength and other characteristics as that of conventional bricks. The maximum attained compressive strength is 13.29 N/mm2.
Analysis of handwriting task using electromyography
Authors: Govindhan Anitha , Gnanavel P , Venkat Subiksha , Vigneshvaran B 
Published: December 2020

Abstract
Writing is one of the most important medium for communication which can represent in one of the easiest ways like symbols and sign. Handwriting is one of the most complex activities in human motions which results in major disorders. Handwriting disorder is one of the major problems in humans and hence it should be rectified before leading into major disorders like dyspraxia, dysgraphia and others. This work is a step to identify the writing disorder in early stage by using EMG sensor. It consists of EMG -sensor which measures the muscle potential from two important muscles extensor digitorum and flexor carpi radialis. The electrodes are placed in such a way that it pick up the muscle potential. The extensor digitorum helps in movements of the elbow and wrist where we obtain minimum potential compared to flexor carpi radialis which is just the flexor of the wrist only. So extensor digitorum is the most prominent muscle where we obtain maximum potential because it extents the metacarpophalangeal joint. The prototype is tested against people of two aged groups, one with people aged above 50 years and the other with adult age between 16-30 years including both the genders. They are allowed to write in their own speed of three types slow, normal, fast, of standard sentence at one stretch to obtain better muscle potential without any deviation. The acquired muscle potential shows good results about muscle potential with respect to age while writing. This prototype can be extended to the early diagnosis of handwriting disorder which helps to rectify the neurogenerative disorder before leading into severe complications.
Real-time object detection and face recognition system to assist the visually impaired
Authors: Aralikatti Anish , Appalla Jayanth , Kushal S , Naveen G S , Lokesh S , Jayasri B S 
Published: December 2020

Abstract
The application system presented here is for use in an Android based mobile phone by the visually impaired for detecting objects in their vicinity, which will help them move around safely, without crashing into objects. The detection of objects is done from a real time video taken from the mobile phone camera. People and objects are detected from this video using OpenCV, YOLO and FaceNet. If a human is detected, the system identifies the person. His identity will then be converted into audio and presented to the user. Similarly, objects detected in the vicinity will be presented in audio format to the user.
Student Attendance Manager Using Beacons and Deep Learning
Authors: Mohanasundar M , Thelly Kevin J , Raveendran Pranav , Rajalakshmi S , Angel Deborah S 
Published: December 2020

Abstract
An efficient method for attendance management system is always been a challenging task for any organization varying from schools and colleges. This paper discusses about the attendance management system (AMS) and it's challenges. The paper proposes a student attendance system for schools and colleges using Beacon technology and Deep Learning techniques. The aim of this device is too savvy smart attendance system which includes the removal of issues like intermediary participation (for example proxy attendance for a student by another student). This is accomplished by obtaining live feeds from a fisheye camera at the beginning of each hour, which would be processed by a Convolutional Neural Network in the back end to enable students to choose their heads in the picture provided to them in their interface when they are in beacon proximity. Teachers interface will receive this same picture at the end of each hour to solve any discrepancy after which the data will be stored in a database. Hence, providing a foolproof system and efficient attendance tool.
Market segmentation for profit maximization using machine learning algorithms
Authors: Janardhanan Sruthi , Muthalagu Raja 
Published: December 2020

AbstractIn this present era with growing population, markets play an important role in providing the required and desired utilities to the people. For this it is important to enhance the Customer Relationship Management which can be achieved by segmenting the market utilities by various factors like weekly sales, demand and supply. In this research paper we discover the valuable information that is weekly sales and develop an efficient business strategy model to increase the profitability of the market through supply as well meet the demands of the customers. Our objectives are i) To find the top profitable products of the market across all the branches as well as their correlation with other products, ii) Understand the customer behavior according to the market flow and iii) Forecast the sales using ARIMA (Auto Regressive Moving Average). In this project, as we lack proper information about the customer identity, we use k means clustering which is an unsupervised learning model to cluster the customers according to the weekly sales behavior. Since we concentrate on the Weekly Sales to understand the market behavior, the best method to be applied on the dataset is the moving average technique. Here, we use ARIMA model to get the best results for forecasting as our time series data is considered to be stationary.