bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combining electrocardiogram signal with Accelerometer signals for Human Activity Recognition using Convolution neural network
Authors: Varshney Neeraj 
Published: August 2021

Abstract
As the environment getting polluted, people are suffering with different medical problems also people are causes about their health as well. Considering this in the mind, Body sensor based human activity recognition attracting researcher towards this direction. A fusion of electrocardiogram signals and accelerometer signals processed through convolution neural network is proposed in this paper. Accelerometer placed at different location of the human body are fused with the electrocardiogram signals, generated through the ECG sensors placed at the chest of the human body. These fused signal are processed through convolution neural network to automatically detect the features and finally apply softmax for classification of the activities. We choose mHEALTH dataset for the experiment and achieve 98.91% validation accuracy.
Connected Vertex-Edge Dominating Sets and Connected Vertex-Edge Domination Polynomials of Gem Graph Gn
Authors: Radhika V.S. , Vijayan A. 
Published: August 2021

Abstract
Let G be a simple connected graph of order n. Let D
c
ν
e (G, i) be the family of connected vertex-edge dominating sets of G with cardinality i. The polynomial D
c
ν
e (G, x) =

D

c
υ
e

(
G
x
)
=

∑

​

i
=
γ
c
υ
e

n

(
G
)

d

c
υ
e

(
G
i
)

x
i

is called the connected vertex-edge domination polynomial of G where d
c
ν
e (G, i) is the number of vertex edge dominating sets of G. In this paper, we study some properties of connected vertex-edge domination polynomials of the Gem graph G

n
. Also we obtain some properties of D
c
ν
e (G

n
, x) and their coefficients. Also, we find the recursive formula, to derive the connected vertex-edge dominating sets of the Gem graph G

n
.
Survey on Data Mining Techniques, Process and Algorithms
Authors: Nivethithaa K.K. , Vijayalakshmi S. 
Published: August 2021

Abstract
The term “Data Mining” is refers to the extraction of patterns and knowledge from large amounts of raw data and often defined as finding hidden information in a database. It insinuate analyzing data patterns in large volume of data using one or more software. Data mining involves effective data collection and warehousing as well as computer processing.
Machine Learning Design Thinking for Fluid Models
Authors: Priyadharshini P. , Divya P. 
Published: August 2021

Abstract
Machine learning and particularly algorithms based on artificial neural networks establishes a field of research lying at the intersection of different disciplines such as mathematics, statistics, computer science, and neuroscience. This approach is characterized by the utilization of algorithms to extract knowledge from large and heterogeneous data sets. A neural network technique is played to implement machine learning or to design intelligent machines for constructing mathematical models that can perform various complicated tasks. The set of machine learning algorithms have modernized and structured for fluid flows. It is helped to develop flow modeling and improvement techniques using neural networks the biologically impressed algorithms, current lines of mechanics research, and industrial applications.
Fuzzy Corner Metric Based Brain Tumor Segmentation and Grade Classification
Authors: Kalyana Sundaram M.S. , Krishna Veni K.S. , Gnanavadivel J. 
Published: August 2021

Abstract
The main idea of this work is to reduce the physician time by assessing with computer aided tumor detection Human investigation is the routine technique for brain MRI tumor detection and tumors classification. Interpretation of images is based on organized and explicit classification of brain MRI and also various techniques have been proposed. The proposed system segments the Brain MR images with the help of fuzzy corner points and the segmented tumor area is subjected for grade classification. Support vector machine classifier is implemented for the grade classification. The proposed system is addressing a simple and robust technique for the tumor diagnosis and also the performance is 89.5% which is comparatively high when compared to the traditional classification method.
Effective Utilization of Pineapple Waste
Authors: Madhumeena S. , Preetha R. , Prasad Sandip 
Published: August 2021

Abstract
India is the largest fruit and vegetable producer. Until fruit is eaten, fruit peel stays waste. Phenolic acids, ascorbic acid, β-carotenes, and flavonoids are the most bioactive components of pineapples. This is one of the secondary plant metabolites abundantly present in pineapple skins in this sample, ferulic acid. Ferulic acid is a low-toxic phenolic acid widely used in diet and cosmetics. Ferulic acid is extracted using different conventional and non-conventional methods such as Soxhlet extraction, Supercritical fluid extraction and Solvent extraction and the amount of ferulic acid is quantified using High performance liquid chromatography (HPLC). The study also evaluated the presence of total phenolic content (Gallic acid equivalent/GAE)and antioxidant activity. Soxhlet extraction using methanol and petroleum ether was the best solvent, methanol showed maximum ferulic acid concentration (0.7696 g/100g), phenolic content (2.365 mg g/GAE), antioxidant activity (45%) and percentage yield (90.5% mg). This study also analysed micronutrients such as vitamins (A, B, B1, B2, B6, B12 and C), calcium, potassium, phosphorus, iron, manganese, zinc and dietary fibre in the pineapple peel
Enzymatic Degradation of Polycarbonates: Response Surface Methodology (RSM) based approach.
Authors: G Sudha , V Ganesh 
Published: August 2021

Abstract
Polycarbonate is a tough polymer known for its extreme toughness, inertness and transparency and is considered to be chemically resistant. Polycarbonates are susceptible to photo degradation and thermal degradation. The mechanism followed in the degradation of similar polymeric compounds is found to be mostly hydrolysis reactions. Reactions of Bisphenol A polycarbonate with the lipase Candida rugosa were carried out over a period of 72 hours at different temperatures ranging from 25 oC to 65 oC and at different lipase activities of 400 U/ml, 800 U/ml, 1200 U/ml and 1600 U/ml. The weight loss of polycarbonate was studied against various factors. It is found that there is a rapid loss of polycarbonate around the time period above 48 hrs and at the temperature 55 oC for above enzyme activities. The supernatant was subjected to FTIR and the presence of the Bisphenol A, a monomer was found. The results were subjected to the statistical tool, Design of Experiments, in which the fitness of the results were statistically analyzed and the interactions between the parameters studied. The Response surface methodology (RSM) and the ANOVA analysis were performed on the experimental data and the parameters were found to be non interactive. The model equation for the degradation kinetics is obtained from the coefficients of the ANOVA analysis and the fitness of the model data with the actual obtained experimental data is found to be close and similar over the parameters
Process design scheme on the feasibility of 1-decanol as a solvent in liquid-liquid extraction to recover anhydrous citric acid from water
Authors: Krishnan Suresh , Kapoor Ashish , Venkatesan D. , Sofiya K. , Balasubramanian S. 
Published: August 2021

Abstract
In this present study, we developed a theoretical process design scheme (PDS) to check the feasibility of solvent 1-decanol to recover citric acid from water by liquid-liquid extraction followed by series of unit operations such as vacuum evaporator, crystallizer, and filter using ASPEN PLUS TM. Literature suggested that the 1- decanol can serve as a solvent to recover the citric acid from water. However, the conditions maintain for the maximum production of anhydrous citric acid have been reported under the equilibrium condition. We incorporated the binary interaction parameters of the NRTL model in the simulation, as reported in the literature. The separation factor obtained from the simulation is compared and validated with the published literature data under a room temperature (25◸C). We performed the mass balance and sensitivity analysis for the developed PDS. The results show that the maximum quantity of anhydrous citric acid is obtained in the extract phase when the solvent to feed ratio is more than six.
Design and Implementation of 7 Stage Bandstop Filter for Wireless Modem
Authors: Aarthy S.T. , Kolangiammal S. , Ukendran G 
Published: August 2021

Abstract
In modern wireless communication, microwave system performance can be degraded because interference can occur due to the signals from other existing wireless communication networks. The 802.11a WLAN in-band signal, which occupies the 5-6 GHz range and 802.11b WLAN system signals covering the 2.4-2.48 GHz frequency band, is currently the main interference.
Artificial Neural Network Model for Predicting Fraudulent Attacks
Authors: Archana P , Divyabharathi P , Camry Joshya Y , Sudha  
Published: August 2021

Abstract
Now a days Artificial Intelligence is an emerging technology. Neural network concepts used in many applications at present situation. The usage of internet increases day by day as well as the lack of security increases day by day. Mainly phishing scams emerges highly in case of network security. In this paper Neural network concepts, how to train and test the data using Artificial neural network has been discussed which gives an brief idea about usage of Neural net concepts in field of Network security. The properties such as feed forward back propagation network form, gradient descent momentum training purpose, sigmoid transfer function, supervised learning model used to train the model for predicting fraudulent attacks.
Authentication and Identity Validation Blockchain Application
Authors: Arun N , Mathiyalagan R , Suchithra  
Published: August 2021

Abstract
The biggest obstacle to electronic migrations of many systems is the need to protect the details and to check the identity of users. Currently, the use of dual-factor authentication is based occasionally on a password. The problem with these approaches is that passwords are extremely insecure and authentication by two factors usually involves the sending of code via SMS or a third-party provider. The blockchain might be a solution to this problem. A 50 billion dollar currency is managed by blockchain. But authentication could be subject to the same cryptographic principles. Thus, blockchain authentication eliminates someone from maliciously modifying the ledger when they distribute a ledger to all network members. A majority of the network shall check its validity any time a block of data is attached to a chain. That guarantees the completeness of the ledger. You can then make sure to send passwords safely using public-key encryption, such as highly protected RSA encryption. The receiver could then search for an entry in the unchanged blockchain, which would result in a remarkably safe and reliable way of handling identity verification. These rules apply for the transformation into a stable, fast, reliable, and readily available service from the election process, state identifiers to dual-factor authentication.
A Study On Finding The Most Prevalent Age Groups Of Diabetic Retinopathy Among Diabetic Population Using Fuzzy Matrix Theory
Authors: Subhramaniyan T. , Suruthi S. , Paulraj M.S. , Ragunathan M. G. , Jayanthi J. 
Published: August 2021

Abstract
In this paper, authors identified the age group of Diabetic population which is affected by Diabetic Retinopathy (DR) using Fuzzy Matrix Theory. It has been shown that there is no significant difference between the men and women age group among Diabetic population developing DR.
Renewable Energy Sources: A Review
Authors: Neha  , Joon Rambeer 
Published: August 2021

Abstract
As a result of the rising everyday energy demand of the entire world population, the earth becomes an increasingly global village, while the earth cannot swing its form. For meeting human communal as well as economic development, education as well as health, drive and its related assets are increasingly needed. The return to sustainability to help fight temperature change is an ideal way to meet potential energy demand. The study looked at prospects related to renewables such as energy security, access to energy, social as well as economic development, and temperature change mitigation and environmental and health issues reduction. Given such benefits, the growth of clean energy sources is hindered by obstacles to climate change mitigation. This include market failures, lack of awareness, access to raw materials for future use of clean energy and our daily carbon footprint. The report has recommended a number of measures and policy recommendations to help meet the goal of carbon reduction, climate change mitigation and the safeguarding of a clean atmosphere and affordable resources for future generations.
Arduino Controller Based 3-Switch Isolated DC-DC Boost Converter for PV and Battery Application
Authors: William Christopher I. , Jones Priya J. , Raghul Axin X , Vignesh Kumar P. , Vimal Raj S. 
Published: August 2021

Abstract
This paper discusses a Arduino controlled 3-switch Isolated DC-DC Boost converter for PV and battery application. The presented converter has vital benefits such as a switch reduction, snubber circuit elimination with an additional diode, a capacitor; obtain the same primary and secondary voltage waveforms of the transformer with duty cycle variation. The MATLAB Simulink model of the presented converter for 95W PV system has been developed for 20V dc input. The hypothetical forecasts and the performance of the PV based presented converter has been effectively confirmed with the aid of simulation results. The experimental setup of the presented converter for 100W PV module has been successfully implemented using Arduino Uno microcontroller to confirm the simulation outcomes.
Numerical Modeling of Flow through the Vertical Rectangular Microchannel for Drug Screening Applications
Authors: Seelam Kalpana , Daisy Rani A. 
Published: August 2021

Abstract
A numerical study of flow in the rectangular vertical microchannel for drug screening applications is described. The flow characteristics through the microchannel are presented by incompressible Naiver-Stroke equations. Flow rate is evaluated from numerical modeling to simulate the drug flow through the microchannel. Here in this study, computational fluid dynamics based finite element method commercial software COMSOL is used for simulation of drug flow through the artery for cancer drug screening applications. The simulation work also presents the diffusion velocity at the intersection area between the drug and cancer cells..
Load Allocation as Quality and secured in Mobile Cloud Networking Location
Authors: Elizabeth Rani G. , Ajay Sukumar G. V. , Umesh Chandra T. , Anki Reddy K. , Sakthimohan M. 
Published: August 2021

Abstract
In portable cloud organizations (MCNs), a versatile client is associated with a cloud worker through an organization entryway, which is answerable for giving the necessary nature of-administration (QoS) to the clients. On the off chance that a client expands its administration interest, the associating passage may neglect to give the mentioned QoS because of the over-burden interest, while different entryways remain underloaded. Because of the expansion in burden in one Gateway, the sharing of burden among all the passages is one of the imminent answers for giving QoS-ensured administrations to the portable clients. Moreover, if a client makes trouble, the circumstance turns out to be all the more testing. In this paper, we address the issue of QoS-ensured made sure about help provisioning in MCNs. We plan a utility boost issue for quality-guaranteed made sure about burden sharing (QuaLShare) in MCN, and decide its ideal arrangement utilizing sell off hypothesis. In QuaLShare, the over-burden passage identifies the getting out of hand Gateways, and, at that point, keeps them from partaking in the closeout cycle. Hypothetically, we portray both the issue and the arrangement approaches in a MCN climate. At last, we explore the presence of Nash Equilibrium of the proposed plot. We expand the answer for the instance of different clients, trailed by hypothetical examination. Mathematical investigation sets up the accuracy of the proposed calculations.
Prediction of GPS TEC during the X9.3 Solar Flare for DGAR low latitude station by using OKSM
Authors: Kiruthiga S , Mythili S , Mukesh R , Karthikeyan V , Vijay M 
Published: August 2021

Abstract
The effect of solar flares on the ionospheric regions of earth, which in turn affects signals of the various Global Navigation Satellite Systems, is a very important criterion to be considered in satellite communication. In this paper, we are investigating the prediction capability of the Kriging based Model and its effect on calculating the signal delay of GPS system on 6.9.2017during which NASA have observed a solar flare which have recorded X9.3 on solar storm scale. The GPS data used in this paper for prediction of TEC is taken from the DGAR Island station. The Vertical Total Electron Content data for GPS is predicted from 3rd September 2017 to 7th September 2017 by using the previous collected 6 days of TEC data of the low latitude DGAR station from IONOLAB and also by using the input parameters like Kp index, SSN, Ap index and Dst index. The predicted results are validated by comparing them with IRI 2016 and IRI PLAS 2017 model collected during the same dates.
IoT Based Energy System in A Facts of Principle Intrusion on Power Administration
Authors: Rajasekaran M , Srinithi R , Sanjana S , Saadurya K V 
Published: August 2021

Abstract
The Stimulation to accomplish energy usage at a residential direct Asian country is influenced by political economy, status, and technical reasons. Economically, it offers a discount of state subsidies and electricity bills. The ecological condition facet permits the reduction of CO2 level. we are able to limit the availability to the house by pre-default setting the worth to be consumed so energy will be managed by limiting. the facility administration system comprises of Alphanumeric Power cadences are put in apiece shopper unit and an Electricity e-Billing scheme at the energy supplier aspect. Wireless sensing element network sends its power usage reading exploitation data back to the energy supplier wirelessly. On the facility supplier aspect, they’ll amendment the devices’ priority once power is distributed within the low vary.
An Enhanced Fuel Consumption Machine Learning Model Used in Vehicles
Authors: Dhanalaxmi B. , Varsha M. , Roshan Chowdary K. , Mokshitha P. 
Published: August 2021

Abstract
In the present world, some of the people are not able to pay expenses for petrol/diesel. The model which we are generating will be useful for many people. The system which we are generating is a data summary approach will be based on distance rather than traditional conventional time period when developing personalized machine learning model for fuel consumption. This system is utilized within conjunction with vehicle pace Also seven predictors inferred starting with way review to prepare a neural system model utilizing machine Taking in that predicts Normal fuel utilization done vehicles. The proposed model can be easily developed for each individual vehicle and fitted into one fleet to optimize fuel consumption over entire fleet. The model’s predictors are comprehensive on fixed window sizes and on the distance travelled. Different window sizes are evaluated and the results mean that the 1km window can estimate the fuel consumption with a coefficient of 0.91 and it also means less than 4% peak to peak percentage error for routes that include both city and highway duty cycling sections.
Electric vehicle routing problem optimal solution
Authors: Mesa F , González Granada J R , Correa Velez G 
Published: August 2021

Abstract
The large distribution companies of goods have the challenge of solving the problem of offering an optimal service in which different interests are faced which determine the decisions of the company, the problem is reduced to providing the best customer assistance, with low restrictions. operating cost on a route. Due to this, we see the need to make the programming of the routes of each vehicle as equitable as possible in terms of the capacity of the vehicle and the available fuel, in addition, it seeks to reduce the distances in which the vehicle travels without load. In this article we will demonstrate in detail in a document the optimal solution to the electric vehicle routing problem, which consists of determining optimal routes for a transport company to make efficient use of available resources, saving electricity and time, among other variables. Initially, the basic concepts about the operation of electric vehicles are described, later the concepts and modalities of vehicle routing are discussed, among which are the problem of routing open vehicles and the problem of routing vehicles with backhauls, later the scenario to develop the respective routes. and show the results with the optimal routes and routes, finally the conclusions obtained from the development of the techniques are exposed.
Active learning and knowledge in physics: a reading from classroom work
Authors: Prada Nuñez R , Hernández C A , Gamboa A A 
Published: August 2021

AbstractThis research article shows the findings of a study that sought to demonstrate the results of a methodological intervention implemented in classes of an eleventh-grade course in the area of Physics, in a public school in the city of San José de Cúcuta, Colombia. The intervention consisted of applying some active learning strategies accompanied by methodological tools such as collaborative work in order to measure the impact of the intervention on the level of disciplinary knowledge of students with a pre-test and post-test. The results show a significant increase with a value of 0.49 at the end of the intervention, which suggests that the subjects participating in the study improved their level of conceptual appropriation in physics after the application of active learning strategies.
Construction of an amusement park using STEAM and LEGO education to participate in the science fair
Authors: Rico-Bautista N A , Rico-Bautista D W , Arévalo-Pérez N 
Published: August 2021

Abstract
This article explains details of the participation in the Science Fair that took place in the 2019 school year by some seventh-grade students from “Colegio Isidro Caballero Delgado”, Floridablanca, Colombia. This event is a space established by the institution, which takes place once a year to show different projects and experiments carried out by students from each of the school grades. The seventh-grade students for their participation took as their theme an Amusement Park; with this theme, they built different prototypes that resemble mechanical attractions using LEGO Education cards and applying STEAM. The aim is to explain different themes seen in the mathematics course during the year playfully and amusingly to the participating public through the operation of each of these prototypes and physics topics in its structure or operation. The structure of the document contains a first section, the introduction in which the context of the educational institution, the development of the science fair, and the use of LEGO Education cards for the 2019 version are addressed; a section II where the methodology and the applied strategy are detailed; in section III the results obtained are mentioned, and finally, in section IV the conclusions and possible recommendations are presented.