bluuebunny/crossref_metadata_2025 huggingface dataset:
Translation of Sign Language for Deaf and Dumb People
Authors:   Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore, Tamil Nadu, India., Tamilselvan K. S. , kumar P. Bala ,   under graduate scholar of Kongu Engineering College, Perundurai, Erode, Tamilnadu, India., kshmi B. Rajala ,   Under Graduate scholar of Kongu Engineering College, Perundurai, Erode, Tamilnadu, India., Roshini C. ,   is the under graduate scholar of Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
Published: February 2020

Deaf-mute people can communicate with normal people with help of sign languages. Our project objective is to analyse and translate the sign language that is hand gestures into text and voice. For this process, RealTimeImage made by deaf-mute peopleiscapturedanditisgivenasinput to the pre-processor. Then, feature extraction process by using otsu’s algorithm and classification by using SVM(support Vector Machine) can be done. After the text for corresponding sign has been produced. The obtained text is converted into voice with use of MATLAB function. Thus hand gestures made by deaf-mute people has been analysed and translated into text and voice for better communication.
Numerical Solutions for Chemically Reactive Non-Newtonian Nanofluid over a Semi Infinite Moving Flat Plate with Heat Generation
Authors:   Department of Applied Mathematics, Yogi Vemana University, Kadapa, A.P., Babu* M. Sreedhar , Sankar G. Ravi ,   Department of Applied Mathematics, Yogi Vemana University, Kadapa, A.P., Rammana V.Venkata ,   Department of Applied Mathematics, Yogi Vemana University, Kadapa, A.P.
Published: February 2020

A hypothetical report was performed to contemplate the consistent two-dimensional flow of incompressible non-Newtonian nanofluids on a semi-infinite moving plate, considering viscous scattering of heat generation and third-request chemical responses. The methodology of Eyring Powell is utilized for the liquid. The solution is derived for the transformed equations by utilizingRunge-Kutta4thorder method in conjunction with shooting technique. The numerical convergence and precision of the outcomes are exhibited. The effects of the different parameters identified with this investigation are exhibited through graphs and tables separately. The outcomes demonstrate that there exists a significant improvement in the velocity of nanofluid along with the increase of both velocity and material parameters. Further, there is an improvement in the temperature of the nanofluid and decrement in the pace of heat move for the expanding enlarges of heat generation parameter. Furthermore, by increasing viscous dissipation parameter nanofluid temperature and Sherwood number are increased and Nusselt number decreased. At long last, the consequences of this investigation were contrasted and the outcomes gave in the writing.
Diagnosis of Peripheral Artery Disease using Cnn Classifier
Authors:   Assistant Professor, Department of Information Technology, Vel Tech High Tech Dr.Rangarajan Dr. Sakunthala Engineering College, Chennai, Florance D* Daya , Ajitha  ,   Assistant Professor, Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, Chennai, P Shobhanjaly ,   Assistant Professor, Department of Information Technology, Vel Tech High Tech Dr.Rangarajan Dr. Sakunthala Engineering College, Chennai, M Gopinath ,   Assistant Professor, Department of Information Technology, Vel Tech High Tech Dr.Rangarajan Dr. Sakunthala Engineering College, Chennai
Published: February 2020

Peripheral Arterial Disease is common to all elderly peoples, which reduces the blood flow to the limbs. Due to PAD, the affected person unable to walk and gives pain while they try to walk. This PAD does not have any specific symptoms to affected persons in the earlier stage. This paper presents a solution to find the disease in which stage the person was affected. The Peripheral arterial disease is evaluated using convolution neural network classifier to identify in early stage to take treatments. The affected persons image (particular part of the body. Eg. Leg) is compared with the dataset. The dataset contains the collection of images that contains both normal and Peripheral arterial disease affected images. The CNN classifier compares with the dataset and shows that the given input image is in normal stage or it is affected by the Peripheral Artery disease. The accuracy level is high. This methodology helps to find the disease in earlier stage.
Mathematical Modelling and Implementation of Solar Based Water Pumping System for Irrigation
Authors:   Department of Electrical Engineering, Medi-Caps University, Indore, India., Kenge* Kunal , Hasija Mohit ,   Department of Electrical Engineering, Medi-Caps University, Indore, India., Tare Ruchika ,   Department of Electrical Engineering, Medi-Caps University, Indore, India., Raghuwanshi Santosh S ,   Asst. Prof., Department of Electrical Engineering, Medi-Caps University, Indore, India.
Published: February 2020

This paper presents mathematical design of solar based irrigation system for water pumping employing MATLAB/Simulink environment. Perturb and observe (P&O) technique, which is an algorithm, is used for obtaining maximum amount of power from the output. The Perturb and Observe MPPT technique is realized on a cuk converter. The performance of PV system is tested at various solar irradiance and temperature of cell. The results confirmed that motor-pump speed, current and power increases on increasing solar insolation. This paper and piece of research will aid system designers in analyzing the performance of the system at various atmospheric condition in rural irrigation.
Critical Succes Factor Information System Model
Authors:   School Information System, University of Bina Nusantara, West Jakarta, Indonesia., Inayatulloh  , Meyliana  ,   School Information System, University of Bina Nusantara, West Jakarta, Indonesia., Hidayanto Ahmad Nizar ,   Faculty Computer Science, Indonesia University , Depok, Indonesia., Prabowo Harjanto ,   School Information System, University of Bina Nusantara, Jakarta, Indonesia.
Published: February 2020

The successful application of knowledge management as information system is determined by many factors where these factors are a component or part of knowledge management. The success of developing knowledge management will depend on these important factors. So far the knowledge system model that was built is only based on the main part without looking at the important parts of the model. This research aims to build a information system model based on factors of critical success. The identification of the critical success factors was sourced from 51 articles with a time span between 2006 and 2019. The results of this paper are a collection of several factors that determine the success of building a information management system. The most critical factor for information management systems is management support and organizational culture. Future research will continue research on strategies for implementing information management systems.
Minimization of Torsional Parameters in Dual Asymmetrical Building through Proper Configuration of Centres
Authors:   Department of Civil Engg.,MuffakhamJah College of Engineering & Technology, Hyderabad, India., Siddiqui* Muhammed Masihuddin , Krishna Prof. N. Murali ,   Department of Civil Engg., CVR college of Engineering, Ibraheempatnam, India.
Published: February 2020

Columns are the core lateral load resisting elements in the buildings which do not have any other forms of resisting components. The sectional dimensions of the columns are often judge based upon the gravitational loading or a combined effect of gravitational and lateral loading on the structure. As per the early research on irregular buildings, they are highly vulnerable for damage when subjected to lateral forces (seismic/wind) when compared to regular shaped buildings, due to the presence of torsional forces. It has also been proved that these torsional forces are generated due to structural eccentricities of the system. The centres of stiffness and strength are predominantly dependent upon the configuration of the lateral load resisting elements. In this study, the effect of proper configuration of column’s dimensions on torsional parameters of irregular buildings is carried out. Non-linear Time History analysis on Plan irregular building with dual asymmetry is performed using scaled acceleragrams and the torsional parameters such are diaphragm’s rotation, torsional irregularity ratio, angular acceleration of the diaphragm are compared with the basic model.
Prediction of Prostate Cancer using Machine Learning Algorithms
Authors:   Associate Professor, Department of Computer Science, GITAM Deemed to be University, Visakhapatnam, India., Srivenkatesh* Dr. M
Published: February 2020

Background/Aim: Prostate cancer is regarded as the most prevalent cancer in the word and the main cause of deaths worldwide. The early strategies for estimating the prostate cancer sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered informational collection from kaggle and we have done pre-processing tasks for missing values .We have three missing data values in compactness attribute and two missing values in fractal dimension were replaced by mean of their column values .The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a prostate cancer disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Random forest, Naive Bayes classifier and logistic regression on the dataset taken in a region to present an accurate model of predicting prostate cancer disease. Results: The machine learning algorithms under study were able to predict prostate cancer disease in patients with accuracy between 70% and 90%. Conclusions: It was shown that Logistic Regression and Random Forest both has better Accuracy (90%) when compared to different Machine-learning Algorithms.
Exploration of Attribute Based Encryption Schemes on Cloud Computing Storage
Authors:   Department of CSE, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India., Vignesh* M. , Naresh Dr. R. ,   Department of CSE, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
Published: February 2020

The storage of Electronic Health records on cloud storage has lead to the need for security and privacy concern. Different methods were proposed to prevent both internal and external threat in the healthcare framework. To guarantee security on health care records access control approach is required. In this paper different access control mechanisms used to provide security on Personal Health Records.
Synthesis and Characterisation of Carboxymethyl Cellulose Based Bentonite Polymer Blend
Authors:   Department of Chemistry, St.Peter’s University, Chennai, India., Palani* Shalini , Jambulingam Ranjitha ,   CO2 Research and Green Technologies Centre, VIT University, Vellore., Mohanam* Anand ,   Department of Chemistry, Kingston Engineering College, vellore, Srinivasan Gokul Raghavendra ,   CO2 Research and Green Technologies Centre, VIT University, Vellore, India. Department of Mechanical Engineering, Bharath Institute of Higher Education and Research, Chennai, India.
Published: February 2020

Polymer blend of carboxymethyl cellulose (CMC) and bentonite clay were prepared in the presence and absence of the cross linking agent glutaraldehyde. The synthesized compounds were characterized using FT-IR, XRD, TGA and DSC analysis. The percentage of yield obtained is higher for the polymer blend prepared with glutaraldehyde as cross liking agent. The result of FTIR studies showed the various peaks corresponding to the functional groups present in the two polymer, which clearly indicates the presence of strong cross linking between the polymer and cross linking agent. Similarly, thermal gravimetric analysis revealed that enhanced thermal stability for the polymer blends along with glutaraldehyde. X-ray diffraction studies prove that the polymer blends have higher crystallinity when blending with glutaraldehyde.
Reduction of Current Harmonics by Cascaded Multilevel Inverter based Shunt Active Power Filters
Authors:   Assistant Professor EEE Department, G. Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India., Rani* R. Sheba , Rao* Dr. C. Srinivasa ,   Professor, EEE Department, G. Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India., Kumar Dr. M. Vijaya ,   Professor, EEE Department, JNTUA, Ananthapuramu, Andhra Pradesh, India.
Published: February 2020

Majority of loads in use today are power electronics based non-linear devices. Despite being compact and providing low energy consumption these loads generate inherent harmonics. Harmonics have several adverse effects such as interference with the communication lines, incorrect meter readings, increased losses, increased heating of electrical and sensitive electronic equipment. Sophisticated power electronic converter based filters named as Shunt Active Power Filters (SAPF) are widely being employed that provide superior harmonic filtering capabilities. Basic objective of SAPF is to generate or absorb currents that compensate harmonic currents produced by non- linear loads. These currents should be opposite in phase but have equivalent magnitude as that of harmonic currents. As compared to Diode-Clamped and Flying capacitor multilevel inverters, Cascaded multilevel configuration is employed for many applications due to ease of control and simple structure. In this research paper, power quality in a three-phase three- wire system is improved by reducing source side current harmonics produced by a non-linear load. Initially a three-level Cascaded multilevel inverter based SAPF is developed and its performance is analyzed by using advanced Adaptive Neuro Fuzzy Inference System (ANFIS) controller. DC link capacitor voltage and percentage Total Harmonic Distortion (%THD) in source currents is measured at PCC for balanced loading conditions and results are compared. In this paper, it is also proposed to incorporate multilevel inverter topology concepts by employing Five-Level and Seven-Level Cascaded Multilevel Inverters as VSI circuit for SAPF. Performance of these multilevel Shunt Active power filters is analyzed by ANFIS controller. Instantaneous Active-Reactive power theory is implemented to compute reference compensating currents for all Shunt Active power filter models. Phase Disposition type Pulse Width modulation is chosen for generating gate pulses for VSI circuits of all Cascaded multilevel inverter configurations. Three-level, Five-level and Seven-level Shunt active power filter models are developed and simulated using MATLAB/ Simulink and results are presented.
Key Feature Extraction for Video Shot Boundary Detection using CNN
Authors:   Research Scholar, J. J. T. University, Rajasthan. Assistance Prof. JSPM’s ICOER Wagholi, Maharashtra, India., Kumar* Neelam Labhade , Sharma Dr. Yogeshkumar ,   Associate Prof. Shri J. J. T. University, Churella, Jhunjhunu, India., Arora Dr. Parul S. ,   Associate Prof. JSPM’s ICOER Wagholi, Maharashtra, India
Published: February 2020

Now days as the progress of digital image technology, video files raise fast, there is a great demand for automatic video semantic study in many scenes, such as video semantic understanding, content-based analysis, video retrieval. Shot boundary detection is an elementary step for video analysis. However, recent methods are time consuming and perform badly in the gradual transition detection. In this paper we have projected a novel approach for video shot boundary detection using CNN which is based on feature extraction. We designed couple of steps to implement this method for automatic video shot boundary detection (VSBD). Primarily features are extracted using H, V&S parameters based on mean log difference along with implementation of histogram distribution function. This feature is given as an input to CNN algorithm which detects shots which is based on probability function. CNN is implemented using convolution and rectifier linear unit activation matrix which is followed after filter application and zero padding. After downsizing the matrix it is given as a input to fully connected layer which indicates shot boundaries comparing the proposed method with CNN method based on GPU the results are encouraging with substantially high values of precision Recall & F1 measures. CNN methods perform moderately better for animated videos while it excels for complex video which is observed in the results.
Implementing Classification Techniques in Predicting Incidents in a Higher Education Institution in the Philippines
Authors:   PhD*, Graduate Studies, College of Science and Computer Studies, De La Salle University Dasmarinas, Philippines, Dasig Jr. Daniel D. , Taduyo Mary Ann B. ,   IT Department, College of Computer Studies and Engineering, Jose Rizal University, Philippines., Gatpandan Mengvi P. ,   IT Department, College of Computer Studies and Engineering, Jose Rizal University, Philippines., Guarin Rudolph Val F. ,   IT Department, College of Computer Studies and Engineering, Jose Rizal University, Philippines, Gatpandan Paulino H. ,   IT Department, College of Computer Studies and Engineering, Jose Rizal University, Philippines.
Published: February 2020

The holistic success of the student in the university heavily relies on the curricula and student development programs. In this milieu, the increasing demand for designing, implementing, monitoring and controlling of major and minor violations of the students' demands formative, reformative, rehabilitative, and restorative remediation programs. This paper presents the implementation of classification technique in predicting incidents, develop a predictive model, and implement the model in a recommender system. The researchers utilized a Descriptive Developmental research design. During the development, business rules, use cases and processes of an HEI were used in developing the recommender system and evaluated using ISO 9126 for Software Quality. The developed predictive model was tested using Classification and Regression (C&R) Tree, C5.0, Quest Tree, Logistic Regression, random tree and Classification technique. On the basis of the findings, the Classification Technique was adopted since it had a higher accuracy rate. The recommender system helped improve employees in incident resolutions, productivity and efficiency, and have provided a significant reduction of students’ major and minor offences based on the classifiers using the CHAID Algorithm. The researchers recommend that further studies and empirical investigation be conducted on the analytical reports, and other data mining techniques may be applied to further improve the system, processes, and student services.
LSA-GA: A Hybrid Algorithm for Solving Economic Emission Dispatch Problem
Authors:   Department of Electrical Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India., Sharma* Raginee , Jain Achala ,   Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India., Huddar Dr. Anupama ,   Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Bhilai, Chhattisgarh, India.
Published: February 2020

In this proposal, a hybrid algorithm is conveyed for unraveling Economic Emission Dispatch (EED) issue of the hybrid warm wind power age framework. The hybrid philosophy is a mix of Lightning Search Algorithm (LSA) with Genetic Algorithm (GA). In this, the consolidated endeavor of LSA-GA is utilized for upgrading the warm generators blends dependent on the vulnerability states of wind power. For catching the vulnerability states of wind power, Particle Swarm Optimization (PSO) with Artificial Neural Network (ANN) is utilized, so framework guaranteed the breeze power usage at higher. In this manner, the proposed philosophy is utilized for streamlining of the hybrid warm wind power age framework and limited the all out expense of activity. For assessing the adequacy of the proposed hybrid strategy, the six and the ten units of warm age is examined initially without wind power and besides with wind power. The two clashing goals for example fuel cost and outflow are streamlined at a similar interim of time. The proposed procedure is actualized in MATLAB/reproduction stage and results are analyzed by contrasting the got outcome and the consequence of Genetic Algorithm (GA). The examination uncovers that proposed approach has ability to deal with multi-target issues of advancement of electrical force frameworks, more efficiently.
Type Ii Fuzzy Logic Controllers for VM Management and Task Assignment in Cloud System
Authors:   PhD Scholar (CSE), Maulana Azad National Institute of Technology (MANIT), Bhopal, India., Lodhi* Rashmi Singh , Pateria Dr. R. K. ,   Associate Professor, Dept. of Computer Science & Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, India.
Published: February 2020

Task distribution and VM (virtual machine) management are the foremost requirements for efficient resource utilization and ensuring SLO (service level objective) of a cloud computing system. To achieve this, it is important to configure VMs depending upon the requirements of the tasks, find proper VM-Task pairs to distribute the tasks over VMs and control the status of VMs. In this paper, a type-II fuzzy logic controller (FLC) based cloud resource management approach is presented. The presented approach contains four type-II FLCs based decision-making systems. The proposed algorithm firstly try to find the most suitable VM-task pair for task assignment, secondly, if it fails in the first step, then it creates a new VM with an appropriate configuration for the given task, at last, it controls the status (Active, Sleep, Shutdown, and Terminate) of running VMs based on their activities and resources utilization to free up resources and reduce power consumption. The simulation result shows that the proposed cloud VM management and task algorithm provides better QoS (quality of service), reduces the resources and power requirement.
Dynamic Congestion Control Mechanism in Mobile Adhoc Network: TCP Westwood-DCC
Authors:   M.Sc.IT Department, Shree M. M. Patel Institute of Sciences and Research, Gandhinagar, India., Haveliwala* Sejal , Vyas Dr. Dhaval ,   Master of Philosophy, C. U. Shah University, Wadhwan, India., Shah Dr. Hemal ,   ICT Department, Ganpat University, Mehsana, India.
Published: February 2020

Transmission control protocol faces a problem of packet loss differentiation in the wireless and mobile adhoc network. Congestion control is not properly done here. It cannot manage the congestion window as per type of loss and it reduces Congestion window unnecessarily and that degrades the performance. TCP Westwood cannot identify congestion or link failure loss, and it cannot manage the congestion window as per available bandwidth. This paper discusses that TCP Westwood performs bandwidth estimation, setting up a congestion window and a slow start threshold. In mobile adhoc network, link failure may happen frequently, and it should be handled properly. Link failure can be detected with the help of retransmission timeout. Once timeout occurs Westwood performs congestion avoidance. Proposed Westwood manages three states of congestion 1) Avoidance 2) congestion and 3) No congestion, it updates congestion window and slow start threshold as per the status of network. It maintains congestion window dynamically. Network status is identified by estimated bandwidth and proportionality ratio. Proposed method is tested on NS2.35 and compared with the existing TCP variants. The proposed Westwood performs optimized link utilization and congestion control mechanism. Hence it gives significant performance for loss recovery.
Modeling Academic Performance of The Students by using Partial Least Square
Authors:   Informatis Engineering department, University of Brawijaya, Malang, Indonesia., Marji*  , Handoyo Samingun ,   Statistics department, University of Brawijaya, Malang, Indonesia., Handamari Endang Wahyu ,   Mathematics department, University of Brawijaya, Malang, Indonesia., Wardhani Ni Wayan Surya ,   Statistics department, University of Brawijaya, Malang, Indonesia
Published: February 2020

This study aims to model the relationship between predictor variables consisting of learning motivation (LM), parents' socioeconomic status (SS), and school environment (SE) which are all latent variables to academic achievement (AC) which are not latent variables. Modeling is done by the method of partial least square (PLS) which is expected to explore the various effects found in the inner model and also confirm the questionnaire items forming the latent variables. With a real level of 5%, almost all loading values on each latent variable are significant. Likewise, a simple linear relationship consisting of 5 models has a coefficient that has a significant effect. The influence of learning motivation (LM), parents' socioeconomic status (SS), school environment (SE) on academic achievement are 0.270, 0.249, and 0.320, respectively. while learning motivation (LM), socioeconomic status of parents (SS) contributing to academic achievement (AC) were 17.7% and 3.13%, respectively
Segmentation of Lungs in Chest Radiographs using Optimized Clustering Technique
Authors:   Department of Computer Science, Assumption Autonomous College, Changanacherry, Kerala, India., V J* Mary Jaya , Krishnakumar S. ,   Department f Electronics, School of Technology and Applied Sciences, MG University Research Centre, Edappally, Kochi, Kerala, India.
Published: February 2020

Lung Cancer is considered the most common type of disease, when compared to that of the other types. It is one of the leading types of cancer that causes majority of the patient death worldwide. It is often detected only at the later stage as they are usually diagnosed at their advanced stages. Survival of patients with lung cancer is almost impossible. They often die within one year after the onset of clinical symptoms. Screening and early detection play an important role in saving the life of a patient. Chest radiography and computerized tomography scans are the techniques mostly used to diagnose and detect tumor in lungs. They require less radiation dose, and is available in most of the diagnostic centers. Their cost is also less when compared to the other techniques used for diagnosis. Nodule detection by using conventional radiographs is still not much effective, so there arises a need for alternative image processing techniques to improve the efficiency of detection. Image segmentation is considered as the first step in processing an image. Further analysis of the image would be made more effective if segmentation is efficient. There exits many segmentation algorithms based on clustering and thresholding approaches. In this paper, a bimodal, optimized and modified k-means algorithm is developed to segment the chest images.
Data Mining Application in Process Control of Smart Material Manufacturing
Authors:   Pursuing PHD, Ast, Amity University, Gwalior, India., Sandhu* Nymphea Saraf , Upadhyay Dr. A. K ,   Professor, ASET, Amity University, Gwalior,India., Sharma Dr. Sanjiv ,   Assistant professor in Department of Computer science Engineering and Information Technology in Madhav Institute of Technology and Science, Gwalior, Indian.
Published: February 2020

According to Industry 4.0 concept, huge amounts of data is generated in Smart Material Manufacturing and this data needs to be collated, stored, organised and analysed in order to develop a more efficient manufacturing system. This study focuses on the prediction of smart material manufacturing process, based on the current production data. It presents a route of knowledge gain about predicting future manufacturing systems, using data mining. The model proposed for the actual manufacturing process is made to acquire the necessary data for process control. Implementing particular methods of data mining, and by altering the input parameters, we can predict the behaviour of the manufacturing processes. This prediction is then verified by the use of a simulation model. After analysing various methods, the method using neural networks is chosen for deployment of the latest data in the concluding phases. This research aims at designing and verifying the tools for mining data for supporting system control in manufacturing. It aims at improvement of the process of decision making. The practical control strategies can be accurately modified, depending on the predictions made and the targeted results of production. These strategies can then be used in real time manufacturing, without a chance of failure.
Implementation of 5-Level H-Bridge Inverter with Multicarrier based Modulation Techniques
Authors:   Asst. Prof. in EEE Dept. at CVR college of engineering, Hyderabad., Shravani* Chapala
Published: February 2020

Paper Setup must be in A4 size with Margin: Top In the present paper multi carrier sinusoidal modulation technique which is an efficient method of producing control signals is used for a symmetrical inverter with several levels in cascade H Bridge is discussed. The Cascaded H-Bridge performance output levels depend on the DC voltage sources used at the input side. With the help of two DC voltage sources, five level output can be obtained whereas three sources gives levels of seven in output voltage. In this paper, multi-carrier SPWM switching is obtained for switching of multilevel inverter based switches. Two signals are used in this switching method, among which one of the signals is reference which is a low frequency sinusoidal signal and the one is a carrier signal. In case of sinusoidal PWM method of modulation technique, the reference signal is a sinusoidal one and triangular signal can be used as a carrier signal. These types of inverters have the ability to generate inverted output voltage with an efficient harmonic spectrum and reliable output results. This document provides switching signal for H-bridge inverter structure which can improve harmonic performance. The 5-level multilevel inverter is simulated for traditional carrier-based pulse-width modulation (PWM) phase change carrier techniques. The total harmonic performance of the output voltages is analyzed for the two PWM control methods. The performance of the symmetrical PWM CHB is simulated using MATLAB-SIMULINK model. Model results show that THD can be minimized to a limit with level shifted modulation method of the sinusoidal pulse width. The results from the simulations show that the quality of the waveform of the output voltage improves with less loss and with a lower THD.
Imminent Challenges of Adoption of Big Data in Educational Systems in Sub-Saharan Africa Nations
Authors:   Department of Computing and Information Technology, Kampala International University,Kampala, Uganda, Umezuruike* Chinecherem , Ngugi Habiba Njeri ,   Department of Computing and Information Technology, Kampala International University,Kampala, Uganda
Published: February 2020

Exponential technological development as seen in the 21st century has led to the generation of the very large volume of data in different formats and at a very high speed, such that traditional processing methods cannot be used to process these data. With the evolution of big data and its processing techniques, useful information has been derived from these volumes of data that has been useful in decision making in various domains, education inclusive. In the developed economy land stride has been made in the use of big data analytics especially academic and learning analytics, but such cannot be said in the developing economy like sub-Saharan Africa. Researchers have done thorough work on the benefits and challenges of big data as a trend and in extension big data analytics in education. This work systematically reviewed works in big data, academic analytics, learning analytics, identifying generalized challenges of big data and it extends to identifying salient factors that are hindering adoption of big data in educationin sub-Saharan Africa in line with the 4th sustainable development goal 2030Development Agenda of the United Nations; using online sources as it bulk of data collection. These issues that formed the gap are addressed in the different sections of the article.
Design and Development of a Cooler used for Air Cooling and Refrigeration
Authors:   M.Tech Student, Department of Mechanical Engineering, Government Engineering College Jagdalpur, Chhattisgarh, India., Sahare* Bhupendra , Sahu Chhavikant ,   Assistant Professor, Department of Mechanical Engineering, Government Engineering College Jagdalpur, Chhattisgarh, India.
Published: February 2020

In this research paper we have discussed the utilization of a cooler for air cooling as well as refrigeration. The purpose of this paper is to design modification of the existing design of, in which a refrigeration box is made of mild steel is attached inside the cooler tank and this tank of cooler is insulated by rubber pad from outside to avoid any loss of heat. All the surfaces of the box are in contact with tank water except the front face which is door of a refrigeration box. The proposed model is experimentally validated by conducting a series of experiments in a controlled atmosphere inside a room in the climate of Raipur, Chhattisgarh, India. Box is loaded with fruits / vegetables and parallel to this, the same quantities of fruits / vegetables are kept outside in the room and daily weight loss is measured.
Promoting a Clean and Hygienic Environment using IoT
Authors:   Research Scholar, Department of Computer Science, St. Joseph’s College (Autonomous), Tiruchirappalli, Affiliated to Bharathidasan Univiersity, Tiruchirappalli, Tamilnadu, India., Anitha* A. Arul , Arockiam Dr. L. ,   Associate Professor, Department of Computer Science, St. Joseph’s College (Autonomous), Tiruchirappalli, Affiliated to Bharathidasan Univiersity, Tiruchirappalli, Tamilnadu, India.
Published: February 2020

Internet of Things (IoT) based smart devices are the core elements for any smart environment. The sensors and actuators make the life easier when they are connected to one another and to the Internet. The Smart city and ‘Swach Bharath Abhiyan’ projects introduced by the Government of India tried to promote clean and hygienic Environment. The constant growth of population, industrialization and urbanization increase the unorganized manner of dumping the solid waste in landfills. Smart waste management is the must in all countries due to the voluminous generation of solid waste. In this paper, a methodology for monitoring the dustbins in smart cities, household or organization is proposed. The dustbins are monitored very often to check the garbage level. Whenever the dustbins reach maximum level, alert will be sent to the corresponding authorities with the bin details to dispose the waste. Additionally, the gas sensors in the dustbins detect the bad smell and alert when it reaches the threshold level though the garbage level will not reach the dustbin’s maximum capacity. The areas which require emptying the dustbins very often are also identified. Large-scale implementation of the system will promote a clean and hygienic environment.
Performance Measurement and Optimization of Relays Used for 5G Ultra Reliable Low Latency Communication Network
Authors:   Eastern Telecom Project, Bharat Sanchar Nigam Limited (BSNL), Gangtok, India., Padhy* Mr. Saraju Prasad , Panda Mrs. Madhusmita ,   Department of ECE -ITER, SOA University, Bhubaneswar, India., Sethi Dr. Srinivas ,   Department of Computer Science Engineering & Applications, Indira Gandhi Institute of Technology (IGIT), Sarang, India, Tripathy Dr. Aruna ,   Department of Instrumentation and Electronics College of Engineering and Technology ( CET), Bhubaneswar, India.
Published: February 2020

The objective of this paper is to analyse and optimize the performance parameters of Relay nodes used in the finite block length (FBL) regime. A relaying system with a single Decode and Forward (DF) Relay is used for this purpose. Here using FBL, the performance parameters like coding rate, decoding error probability etc are obtained for different scenarios like without relay, with relay and using cooperative relaying. Effects of SNR and code Block length on performance parameters are analyzed. To enhance the performance of the Relay in URLLC scenario, power distribution between source and Relay node is optimized using evolutionary algorithms such as Multi-Objective Particle Swarm Optimization (MOPSO) and Infeasibility Driven Evolutionary Algorithm (IDEA). Low error probability and high throughput at the desired block length and power were the optimization goals. After using both the algorithms, the optimized Relay has shown improvement in performances like throughput (coding rate) and decoding error probability. It is also observed that IDEA optimization approach is found to be more efficient than MOPSO to provide optimum design parameters.
Experimentation on Mechanical Properties and Machinability of Al7075/Al2o3/Gr/Sic Metal Matrix Component
Authors:   Assistant Professor, VNR Vignana jyothi of Engineering and Technology, Hyderabad, India., Tiwari* Mr. Gourav , Teja Mr. P. Satya Dharma ,   Pursuing M.TECH (AMS), VNR Vignana jyothi of Engineering and Technology, Hyderabad, India.
Published: February 2020

Aluminum based metal matrix composite was prepared by stir casting process. Generally metal matrix composites are having some benefits due to the present’s reinforcement particles. Basically aluminum material does not have much strength, for increasing its strength and mechanical properties reinforcement particles are like SiC, Boron Carbide, Aluminum Oxide, Titanium Carbide, Fly Ash, Graphite added to base material. In this experiment 2.5% of Al2O3, 5% of Graphite and 5% of Silicon Carbide are added toAl7075 (base material). The Microstructure of composite has been identified under optical microscope. Impact, Hardness, Tensile tests were conducted to find out the strength of the metal matrix composite. To find out the surface finish of composites after machining Taguchi method was adopted for the design of experiments and L9 Orthogonal array was taken to identify the optimum machining parameters affecting surface finish. In adding of 2.5% of Al2O3, 5% of Gr and 5% of SiC the Impact Strength of Izod test is decreased by 23%, 30%, 46% and the Impact Strength of Charpy test is increased by 20%,-20%, and 20% respectively. The Brinell hardness value and Rockwell Hardness is increased by 9%, 3%, 28% and 9%, 1%, 6% respectively compare to the base material Al7075.Tensile Strength is decreased by 17%, 12%, 50% by adding of 2.5% of Al2O3, 5% of Gr and 5% of SiC respectively compare to base alloy. The better surface finish is obtained at speed 1500 rpm, feed 0.05 mm/rev and 1 mm depth of cut for the materials Al7075.The lowest Tool Wear occurred for the material Al7075 at1000 rpm, feed at 0.05 mm/rev and depth of cut at 0.25.
The Perception of Electronic Learning System Among Students in the College Poly-Tech Mara Batu Pahat
Authors:   Faculty of Education, in Universiti Tun Hussein Onn Malaysia UTHM., Heong* Ts. Dr. Yee Mei , Sharberi Siti Nur Maizura Binti ,   Postgraduate Student, Department of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia (UTHM)., Othman Nurhidayah Binti ,   Audit Committee, Department of ISO Execution, KPTM Batu Pahat., Ching Prof. Madya Ts. Dr. Kok Boon ,   Associate Professor, Universiti Tun Hussein Onn Malaysia UTHM., Kee Jiar Prof. Dr Yeo ,   Professor, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.
Published: February 2020

The Electronic Learning System (OLES) is seen as a main medium in the development of 21st century education. Students need to be fully involved in their learning process to produce excellent and effective quality of learning that is transformed through the implementation of electronic learning systems (OLES). Therefore, this study was conducted to identify the perception of students in College Poly-Tech MARA Batu Pahat on the level of student readiness in terms of knowledge, usage and motivation in electronic learning system. The design of the research selected study is a survey research which uses quantitative approach and using questionnaire as a research instrument. The respondents in this study were 258 students from College Poly-Tech MARA Batu Pahat comprises of various fields. The study found that the level of student knowledge of the electronic learning system was moderate to a mean score of 2.73. While the level of student use of the electronic learning system is moderate, the mean score is 2.17. The level of student motivation towards the use of the electronic learning system is also at a moderate level with a mean score of 2.97. Correlation analysis also shows that there is a significant positive relationship between knowledge, use and motivation towards the use of electronic learning systems. Some improvements must be made to preserve the use of electronic learning systems to ensure excellence in education results can be achieved.
Temperature, Heat Distribution and Performance Analysis in a Variable Compression Ratio Internal Combustion Engine
Authors:   Associate Professor, Mechanical Engineering Department, Rabindranath Tagore University Bhopal-464993, M.P., India, Singh* Dr. Dinesh Kumar , Gupta Dr. Rajesh ,   Associate Professor, Mechanical Engineering Department, Maulana Azad National Institute of Technology, Bhopal-464993, M.P., India., Singh Rahul Kumar ,   PhD Scholar, Mechanical Engineering Department, Rabindranath Tagore University Bhopal-464993, M.P., India
Published: February 2020

The internal combustion engines are also known as heat engines because of the utilization of heat energy of the fuel to convert it in to mechanical energy of the engine which finally runs the vehicle. Therefore, it is necessary to examine the generation and utilization of heat inside and outside the engine. For the above mentioned purpose, a variable compression ratio engine was used to perform experiment. The heat distribution of the used engine was investigated to recognize the heat loss areas from the engine. The experiments were performed by changing compression ratio from 15 to 21 and an optimum compression ratio was found. The experiments are further extended to find an optimum load value at standard compression ratio of the engine. The analysis was performed by using various factor of heat utilization such as heat supplied by fuel, heat equivalent to brake power, heat loss to exhaust gases, heat loss to engine cooling water and heat unaccounted. The proposed research will be useful to overcome the challenges during selection of compression ratio for design of an engine in industries.
De-Inking of ONP Paper by using Different Surfactants: In Dissolved Air Flotation Process
Authors:   Centurion University of Technology and Management, Odisha, India, Panda* Surjya Narayan , Biswal Susanta Kumar ,   Centurion University of Technology and Management, Odisha, India
Published: February 2020

Meeting the demand of paper and paper product requirement and at the same time decreasing the availability of fibrous raw materials, keeping an eye on cost effectiveness is challenging. Thus, recycling of paper is an alternative. Corrugated box, old newspapers and office waste papers are the sources of raw materials for paper and paper product industries. Deinking is an important step for recycling of old waste writing, printing and newsprint papers. The efficiency of ink separation in the process of waste paper recycling depends on the ink properties, kind of the additives, surfactants used, age of waste papers, the printing techniques and printing conditions. In general, deinking process consumes a large amount of chemicals which makes this method expensive, pollution intensive and even quality is compromised. In this study the effectiveness of surfactants like benzene dodecyl sulphonate, lauryl benzene sulphonate and sodium carbonate for cost effective deinking process by optimizing the chemical doses has been studied. The physical strength and optical properties of the paper after deinking was also explored. The surfactant better for both physical strength properties and optical properties of paper is identified to be the sodium dodecyl benzene sulfonate.
Particle Swarm Optimization Algorithm to Optimize the Activity Patterns of Internal Globus Pallidus in Parkinson Disease
Authors:   Department of Applied Sciences, The North Cap University Gurugram, Haryana, India., Dhar* Shri , Yadav* Sanjay ,   Department of Applied Sciences, The North Cap University Gurugram, Haryana, India., Singh Jyotsna ,   IILM Academy of Higher Learning, College of Engineering and Technology, Greater Noida, Uttar Pradesh, India., Yadav AK ,   Amity School of Applied Sciences, Amity University Haryana, Gurugram, India., Singh Phool ,   Department of Mathematics, SoET, Central University of Haryana, Mahendergarh, Haryana, India.
Published: February 2020

Parkinson disease, one of the widely known brain disorders, affects the movement of body parts due to dopamine reduction in the basal ganglia. In this paper, a model of internal globuspallidus is taken into consideration for a primate suffering from Parkinson disease. The discharge patterns generated for a primate suffering from Parkinson disease are compared with the discharge patterns of a healthy primate. The lags in the discharge patterns of primate with Parkinson disease due to slow movement are shown in the result section of the paper. On the basis of analysis of the model, four parameters have been optimized to remove these lags; which are membrane potential from GPe to GPi (denoted by ), membrane potential from STN to GPi (denoted by ), synaptic conductance from GPe to GPi (denoted by ) and synaptic conductance from STN to GPi (denoted by ) as the model is most sensitive to these four parameters among all the parameters taken into consideration. Optimization of these parameters has been carried out using particle swarm optimization algorithm over a time span of 300 msec. A qualitative comparison has been made using correlation coefficient computed between the discharge patterns for a healthy primate and primate with Parkinson disease. The value of correlation coefficient turns out to be 0.9994 showing very high degree of overlap between the two discharge patterns, and validates the high degree of accuracy of the results obtained by particle swarm optimization algorithm.