bluuebunny/crossref_metadata_2025 huggingface dataset:
Multivariate Classification of Drugs using Parametric and Nonparametric Machine Learning Models
Authors:   Associate Professor, PG Department of Computer Science, SDNB Vaishnav College for Women (Affiliated to University of Madras), Chennai, India., Priya Dr. N. , Shobana* G. ,   Assistant Professor, Department of Computer Applications, Madras Christian College (Affiliated to University of Madras), Chennai, India.
Published: January 2020

In pharmaceutical research, traditional drug discovery process is time consuming and expensive, where several compounds are experimentally tested for their biological activities. Series of lab experiments are conducted to analyze newly synthesized drug’s pharmaceutical activities and its biological effects on human. With every new drug discovery, the required clinical properties can be determined using machine learning models and this greatly reduces the experimental cost. This paper explores parametric and non-parametric machine learning models to classify administration properties of drugs and its toxicity. The multinomial classification of drugs was based on their physicochemical and ADMET properties. Balanced data samples were drawn from chEMBL and was pre-processed. Features were reduced using Recursive Feature Elimination and the attributes were ranked based on their importance to reduce highly correlated attributes. The performance of parametric and non-parametric machine learning models was analyzed on cheminformatic data that includes physiochemical, biological and pharmaceutical properties of the drug molecules. Selecting the potent drug candidate along with its administration properties greatly reduces wet lab experimental time and cost. Multiclass classification can be determined efficiently using non-parametric machine learning model. Optimal feature engineering, tuning hyperparameters and adopting hybrid algorithms would result in more accurate predictions in future for cheminformatics data.
Performance Analysis of Chromium Carbide Overlay in Coal Nozzle Tip for Utility Boilers
Authors:   Department of Mechanical Engineering, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613403, Tamil Nadu, India., Ramasamya N. , Jeyasimman D. ,   Department of Mechanical Engineering, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613403,Tamil Nadu, India..
Published: January 2020

Coal Nozzle Tip substrates are laid with chromium carbide alloy overlay to improve the performance life cycle of the component in power boiler. Overlay with hard faced materials exhibits better erosion / wear resistance of the components. Nozzle tips are located in front of the fire ball and gets heated up to 650 ºC due to radiations. The purpose of the investigation is to evaluate the performance of chromium carbide over lay in terms of life cycle. The Chromium rich tubular electrode was used to overlay on plate SA 240 type 309S substrate by Shielded Metal Arc Welding process. Test specimens were prepared for SEM/EDAX, microstructure analysis, hardness and jet erosion test. Surface hardness and jet erosion tests were carried out on hard faced surfaces at elevated temperature 600 ºC and 700 °C. Test results were analyzed and found that the Chromium carbide overlay resulted with low hardness and high erosion at elevated temperature with steeper impact angle.
Hardware-Based Physical Layer Security Solutions and Algorithms for Iot Devices on FPGA Platform
Authors:   Research Scholar, PRIST University, Thanavur, Tamilnadu, India., R.* Bharathi , Parvatham N. ,   Associate Professor, PRIST University, Thanjavur, Tamilnadu, India.
Published: January 2020

The Physical Layer Security mechanism has emerged as a powerful concept that can provide high-level security and can even replace encryption oriented schemes, which necessitate various difficulties and practical challenges for future communication systems (e.g., IoT). Therefore, the critical goal of this work is to enhance the security performance at IoT and prevent the network from various eavesdropping attacks. In this Manuscript, analyze the hardware-based Physical Layer Security solutions and suitable cryptographic Algorithms for IoT applications. The Cryptographical Algorithms include AES, DES, Light Encryption Devices (LED), PRESENT, Extended Tiny Encryption Device (XTEA) are analyzed on the Hardware platform. The Hardware constraints like Area, Frequency, Latency Throughput, and efficiency are evaluated on FPGA devices.
An Efficient Resource Provisioned Technique in Cloud Computing Environment.
Authors:   Research Scholar, Department of Computer Science Engineering, Parul University, Vadodara, India., Shah* Jaimeel , Patel Dr. Chirag ,   Associate Professor, Department of Computer Science Engineering, Parul University, Vadodara, India.
Published: January 2020

Different ICT-empowered service providers additionally have either embraced distributed computing or began moving administrations to cloud framework. Be that as it may, the expanding interest for cloud based foundation has come about into extreme issue of managing the resources and adjusting of load for cloud specialist providers and customers. Specialists have recommended various resource provisioning techniques for effective resource usage. An epic burden adjusting procedure addressing the movement of the outstanding task at hand from over-stacked VM to gently stacked VM in distributed computing conditions is presented in this paper. An undertaking is made to help the cloud accomplices to beat the imbalanced asset utilization issue is shown in this paper.
Recognizing Outlet Points Description on Watershed in Ottanchatram Taluk by GIS
Authors:   Department of Civil Engineering, RVR & JC College of Engineering, Guntur, India., Chandramohan* Dr. R. , Vignesh N. Siva ,   Geo analyst, ARS Geomatics, Dindigul, Tamil Nadu, India.
Published: January 2020

Groundwater becomes mandatory in day-to-day routine life without any limitation; we were using groundwater for irrigation, domestic and industrial needs. Unlimited groundwater pumping has decreased groundwater levels in some areas of the review region. The purpose of this document is to present the description of the outlet points of the river basin. This document explains the method of revealing the DEM-based basin outlet point. With Geographic Information System (GIS) support, river boundary basins and drainage areas are discharged into an area where a pumping station can be installed in the Ottanchatram district of Dindigul, Tamilnadu. To provide easy flow of wastewater to a treatment plant or river basin. Using an environmental GIS hydrology module, the watersheds for Ottanchatram taluk have been illustrated. The result of this experiment indicates that this method can effectively solve the problem of parallel routes and the main channel out of its natural position. In flat, mountain and landscape areas this method can reveal pour point by using DEM.
A Novel Technique to Enhance Performance of Multibiometric Framework using Bin based Classifier Based on Multi-algorithm Score Level Fusion
Authors:   Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, India., Modak* Sandip Kumar Singh , Jha Vijay Kumar ,   Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, India.
Published: January 2020

This work shows a multibiometric framework to upgrade the recognition rate and reduce the error rate using Bin based classifier based on score level (multi-algorithm) fusion. In this work Bin based classifier is used as the combination rule which integrate the matching scores from two distinct modalities namely iris and face. An optimization technique, PSO is utilized to minimize the unwanted information after combination of the feature sets of the iris and face using different feature extraction algorithms like PCA, LDA and LBP. The test results demonstrate that the multibiometric system as a Bin based classifier employing multi-algorithm score level fusion provides better outcomes than the other fusion rule like Likelihood Ratio based fusion, Linear Discriminant Analysis (LDA) and support vector machine (SVM). The experimental result on Face (ORL, BANCA,FERET) and iris (CASIA, UBIRIS) shows that the proposed multimodal system derived from CBBC (continuous bin based classifier) with PSO as an optimization technique achieve EER=0.012 , which outperform than the other fusion technique with EER=0.018 for SVM (RBF) and EER=0.02 for SVM linear.
Bracing Applications for Improving the Earthquake Performance of Reinforced Concrete Structures
Authors:   Mechanical Engineering Department, University of Zakho , Zakho, Iraq., Ali* Diyar Yousif
Published: January 2020

Braced frames, besides other structural systems, such as shear walls or moment resisting frames, have been a valuable and effective technique to increase structures performance against seismic loads. In wind or seismic excitations, diagonal members react as truss web elements which would afford tension or compression stresses. This study purposes at considering the effect of bracing diagonals on values of base shear and displacement of building. Two models were created and nonlinear pushover analysis has been implemented. Results show that bracing members enhance the lateral load performance of RC frames considerably. The purpose of this article is to study the nonlinear response of reinforced concrete Structures which contain Hollow Pipe Steel braces as the major structural elements versus earthquake loads. A five-storey reinforced concrete structure was selected in this study; two different reinforced concrete frames were considered. The first system was un-braced frame while the last one was braced frame with diagonal bracing. Analytical modelings of the bare frame and braced frame were realized by means of SAP 2000. The performances of all structures were evaluated using the nonlinear static analyses. From these analyses, the base shear and displacements were compared. Results are plotted in diagrams and discussed extensively and the results of the analyses showed that, the braced frame was seemed to capable of more lateral load carrying, had the high value for stiffness and lower roof displacement in comparison with bare frame.
A Comprehensive Big Data Analytics Based Framework for Premature Recognition of Breast Cancer
Authors:   Associate Professor, Dept. Of E&TC, D.Y.Patil Institute of Technology, Pimpri, Pune, India., Venkatesan* Mithra , Kulkarni Anju.V. ,   Professor, Dept. Of E&TC, D. Y. Patil Institute of Technology, Pimpri, Pune, India, Menon Radhika ,   Professor, Dept. Of Mathematics, D. Y. Patil Institute of Technology, Pimpri, Pune, India, Ramakrishnan V. ,   Dept. Of E&TC, Software Architect, Siemens PLM , Pune, India
Published: January 2020

Healthcare industry is fast growing and expanding in rapid pace. The volume and veracity of data generated in the industry is massive and requires huge storages and handling capability. Big data is empowered with such robust abilities and hence most suitable for handing large amount of data. Further, hese data could be utilized towards building predictive and forecasting models. Breast cancer is a deadly form of cancer majorly affecting women around the globe. The concept of big data and predictive analytics is being explored in the paper towards early diagnosis of breast cancer. This paper surveys various literatures available on application of big data analysis for breast cancer. Subsequently a comprehensive framework is being proposed based on the gaps identified. Different machine learning algorithms which can be applied in the framework is also detailed in the paper. Such frameworks when implemented will greatly help in handling the massive data available and aid in early detection of breast cancer.
Improved the Efficiency of Generalized Sidelobe Canceller Algorithm by using Speech Presence Probability
Authors:   Department of Information Technologies and Programming Faculty, University ITMO, Saint-Petersburg, Russian Federation., The* Quan Trong
Published: January 2020

Speech signal processing application always encounter certain difficulties in real complex environment. The captured signal on microphones often interfered by coherent, incoherent, stationary, non-stationary noise and self acoustic mismatch. To solve this problem, the necessary requirement is speech enhancement to extract target speaker from observed signals in condition minimum speech distortion, while removing background noise. The author proposed a speech enhancement generalized sidelobe canceller based on an estimation of speech presence probability. Main ideal of the algorithm is accuracy estimation of auto and cross power spectral densities of main and reference signal, which used in process of filtering. The experimental result ensures the effectiveness of the proposal algorithm, the background noise is suppressed while the quality of speech is improved in compared with the conventional generalized sidelobe canceller. The proposed algorithm can be evaluated as a frontend for automatic speech application.
Fault Diagnosis of Industrial Gear Hobbing Machine
Authors:   Scholar (PhD, Mechanical) in Mechanical Engineering Department, Suresh Gyan Vihar University, Jaipur, Rajasthan India., Vasnani* Mr. Himanshu , Kumar Dr. Neeraj ,   Professor, Department, Mechanical Engineering, Suresh Gyan Vihar University, Jaipur, Rajasthan India.
Published: January 2020

The aim of this paper is to develop a fault diagnosis algorithm by vibrational analysis for an industrial gear hobbing machine. Gear Hobbing is the most dominant and profitable process for manufacturing high quality gears. In order to sustain the market competition gear manufacturers, need to produce high quality gears with minimum possible cost. However, catastrophic failures do occur in gear hobbing process which causes unexpected machine down time and revenue loss. These failures can be avoided by using condition monitoring approaches. In the proposed approach vibration data during different faults such as lubrication error, excessive feed rate, loose bearing error is collected from an industrial gear hobbing machine using three axis MEMS accelerometer. The collected data is analyzed and classified with spectral kurtosis and Dynamic Time Warping algorithm. The efficiency of the proposed approach is 90 percent as determined by experimental results. The proposed approach can provide a low-cost solution for predictive maintenance for gear hobbing industries..
Smart Transport System using Automatic Number Plate Recognition
Authors:   Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India., B K* Vinay , K H Sunil Kumar ,   Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India., M D Malini ,   Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India.
Published: January 2020

In this paper, a Smart Transport System using Automatic Number Plate Recognition (ANPR) of a vehicle is proposed. License plate number of a vehicle is recognized to check the details of the vehicle like the make, type of the vehicle, checking for traffic rule violations and to collect the toll in hospitals, highways, tech parks, paid parking slots of shopping malls, and supermarkets in real time. This paper proposes a system implementation consisting of modules to capture the video of the vehicle, segmentation of video into frames, optical character recognition (OCR) to recognize the characters present on the number plate using Canny edge detection. After capturing the image, it is processed and the extracted characters are compared with the results in the database. A sample RTO database with all the required information about the vehicle would be created for the purpose of comparison. The obtained result after the validation of the vehicle number plate with different parameters has to be displayed from the master PC onto the monitor which lets the defaulter know of his/her violations. This is done using IOT. Once the violations have been displayed, the corresponding amount would then be deducted from the defaulter’s bank account.
Impedance Cardiography Signal Enhancement through Block Based Adaptive Cancellers for Distant Medical Care
Authors:   KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India., Soniya* N. , Arunabala Dr. C. ,   Professor, Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India., Vinaykumar Vadlamudi ,   Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India., Kumar Rayanuthala Praveen ,   Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India., Kumar Suraparaju Sai Pavan ,   Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India., Reddy Vare Rudra ,   Department of ECE, KKR & KSR Institute of Technology and Sciences (KITS), Guntur. India.
Published: January 2020

The impedance Cardiography (ICG) assists the impedance occurred in the heart. The ICG also known as Thoracic Electro Bio-Impedance (TEB).This projects various flexible and mathematical reduced adaptive methods to visualize the extreme clear TEB modules. In the medical premises, TEB wave notifies the several physiological and non-physiological incidents, that covers small characteristics which are predominant for finding the volume of the stroke. In addition, mathematical difficulty is a significant constraint to novel healthcare observing tool. Therefore, the paper project novel wave working methods for TEB improvement in isolated arrangements. So that we selected higher preference adaptive eliminator as a fundamental constituent in the procedure. To recover the original signal, convergence rate, to minimize mathematical difficulty of the wave working method, we relate the data normalization to extract the ideal wave. The projected realizations are simulated with practical TEB waves. At last, outcomes proves projected extracted normalized higher order filter is appropriate to realistic medical arrangement.
Earthquake Resisting Elements and Techniques in High Rise Buildings
Authors:   Research Scholar, Department of Civil Engineering, Dr.Babasaheb Ambedkar Technological University, Lonere, India., Mahadik* Sanjivan , Bhagat S. R. ,   Associate Professor, Department of Civil Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, India.
Published: January 2020

An earthquake resisting elements are the components that are introduced in a structure to improve its seismic resistance and method of application of these elements are said as techniques. Though structures are designed and detailed as per code provision there remains some possibility of damage or failure in strong earthquake. Performance of buildings may be improved using earthquake resistant elements and techniques. An earthquake produces seismic waves on earth surface of earth due to releases of large energy from lithosphere which produces waves in earth surface causing disturbance in structures resulting failure of seismically weak structures. Seismic waves then travels in horizontal and vertical direction. It causes horizontal and vertical ground movement or vibration. These seismic waves cause disturbances in in buildings. The disturbance caused depends on position of building with respect to the center of disturbance called as epicenter. Intensity of these seismic waves is maximum at center and goes on reducing away from epicenter. Generally horizontal waves are of stronger than vertical so buildings are designed to horizontal seismic forces. These valves travel in any direction but from design purpose it is resolved in two orthogonal directions. Few constructional precautions may help to avoid or minimize damage in buildings. Earthquake resistance of building may be improved with proper design and construction of structures. Some earthquake resisting elements like shear wall, moment resisting frame or innovative techniques like base isolation, or energy dissipation system are used in many high rise buildings to avoid or minimize damage and hence loss of lives and properties. Shear walls are RC member generally introduced in a structure during construction in symmetrical manner. Base isolators in the form bearings are placed between sub and super structure to reduce stiffness of structures. Structures are braced with seismic dampers in energy dissipation system. Composites are used by mixing in concrete or as a warp. All these techniques are reviewed herewith with special attention on shear walls.
Performance Characteristics of Weld Defect Inspection by Magnetic Particle Testing
Authors:   Research Scholar, Suresh Gyan Vihar University, Jaipur (Raj) India., Kumar* Vikash , Kumar Neeraj ,   Professor, Suresh Gyan Vihar University, Jaipur (Raj) India.
Published: January 2020

The industrial product like nozzle consist of magnetic nano-particles for the Ferro fluid black plays an important role under the domain of mechanical engineering applications. In this research work, Non-Destructive Testing (NDT) technique based on deposition of a Ferro fluid Black 140CM, Grey 249 and 147-A/2 is used for the defect testing of the boiler nozzle’s surface. Magnetic Particle Testing (MPT )is one of the widely used method for Ferromagnetic material because it is fast and relatively easy to apply as compared to other NDT method. The only requirement from an inspect ability stand point is that the component being inspected must be made from ferromagnetic material (iron, nickel, cobalt or some of their alloy). This method uses magnetic field and small magnetic particles to detect flow in component & obtained defects (linear or rounded indication) of the welded part must be machined with diamond cutter grinding machine till the defects removed.
An IoT based Drainage Overflow Forecast Monitoring System
Authors:   Professor, Department of Information Technology, PVP Siddhartha Institute of Technology, Vijayawada, India., Rao* B V Subba , Sirisha J ,   Assistant Professor, Department of Information Technology, PVPSIT, Kanuru, Vijayawada, India., Kumar S.Sai ,   Assistant Professor, Department of Information Technology, PVPSIT, Kanuru, Vijayawada, India.
Published: January 2020

Recent days IoT is emerging as a latest innovative technology. For varies societal applications. In our proposed method we are going to come up with an innovation to identify the drainage overflow in advance. We will consider the drainage manholes as nodes, and all these nodes are connected to the main server (or) root node with a suitable network topology. We will keep the water level sensors at respected nodes. These sensors are embedded with a tiny microcontroller with some DC voltage. All these nodes with microcontrollers are connected to the main server. All these sensors are set up with a uniform water level measure. Whenever there is a slight abnormality (lower/higher) in water levels, then this nodes with microcontroller sends a message to the main server and the identity of this nodes is recorded in the server along with its water level in the mobile app/dashboard. With the help of this mobile app we can do the remedial action immediately so that we can avoid overflow in advance.
Constituency Parser for Clinical Narratives using NLP
Authors:   Department of CSE, Gitam University, Visakhapatnam, India, Kedawat* Anjali , Senthil Dr. A. ,   Department of CSE, Mody University, Laxmangarh, India.
Published: January 2020

Clinical parsing is useful in medical domain .Clinical narratives are difficult to understand as it is in unstructured format .Medical Natural language processing systems are used to make these clinical narratives in readable format. Clinical Parser is the combination of natural language processing and medical lexicon .For making clinical narrative understandable parsing technique is used .In this paper we are discussing about constituency parser for clinical narratives, which is based on phrase structured grammar. This parser convert unstructured clinical narratives into structured report. This paper focus on clinical sentences which is in unstructured format after parsing convert into structured format. For each sentence recall ,precision and bracketing f- measure are calculated .
Improving the Technology of Forming the Creative Competence of the Future Teacher
Authors:   a Senior Teacher of Chair of General Pedagogy, Tashkent State Pedagogical University named after Nizami, Tashkent city, Uzbekistan., Morkhova* I.V.
Published: January 2020

Today, at the demand of time, it is necessary not only to obtain a volume of knowledge in all subjects but also to be ready for change, for creativity. To form creativity and a creative approach precisely - this should become one of the main tasks of modern education today. And it is a creative approach to business, non-standard thinking, independent judgments that help future specialists to navigate in an unstable society. The presence of creativity and creative abilities determines the effectiveness of the work, affects the professionalism of the work, is essential in the selection of young personnel. That is why today in Uzbekistan the question arises about the formation of future teachers, and specialists in various fields, the “new formation” in the process of studying at a university, the process of active integration into the world community is underway thanks to scientifically developed reforms closely related to education. This article was written with the aim of improving the technology for creating the creative competence of a future teacher. In accordance with the purpose of the study, the research objectives are defined: to analyze and generalize the historical and pedagogical domestic and foreign experience and the current state of the problem of improving the technology of creative competence of the future teacher; to improve the typology of teachers according to the level of creative approach to the creative development of the student; to develop a system of innovative modules for improving the technology of formation of students' creative competence; substantiate the need for qualitative formal and substantial changes in the course of general pedagogy at a pedagogical university, taking into account the creative nature of the teacher’s activities and experimentally confirm the effectiveness of the proposed system, introduce it into the practice of preparing a future teacher. A technology has been developed for the formation of the creative competence of a future teacher, including methods, forms and means identified, recommendations and conclusions.
Backdoor Implementation in Android using Open Source Tools
Authors:   Student, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India., Reddy. R* Rajasekhar , Sri P.S.G. Aruna ,   Associate Professor, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India.., Sai.P Ram ,   Student, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India., B Jedediah. ,   Student, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India., M Anusha. ,   Associate Professor, Department of Computer Science Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India
Published: January 2020

In this paper, we are showing the usage of hacking into android framework with the help of an open source tool. Turn around TCP opens an indirect access on the target system and which is remotely operated by the attacker without the target's information. However the connection must be initiated by the victim. The Metasploit tool is an open source tool. It help about the susceptibilities and helps in performing penetration testing. Metasploit framework consists of an exploits database, payloads, and vulnerabilities. By this attack, the assaulter creates a payload, and that payload is transferred into the victim system. When the payload is initiated, the attacker gets access to the victim’s system, files, images, contacts, messages etc.
Fleet Monitoring System using GSM, GPS and Web Server with Drunken Driving Alerts
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India., Patwari* Ashish , Godasi Kavya ,   B. Tech ECE Alumni, Vellore Institute of Technology, Vellore, India., Reddy P Meghana ,   B. Tech ECE Alumni, Vellore Institute of Technology, Vellore, India.
Published: January 2020

This paper explains the design and implementation of an on-demand vehicle tracking and alcohol activity detection system using microcontroller and suitable peripherals. Correct information about a vehicle’s location is extremely important in managing fleet, logistics and cab services. Unfortunately, operators or owners of such services find a tough time to perfectly spot their trucks or vehicles owing to irresponsible, reluctant, untruthful and unlawful drivers. We propose a system based on Global System for Mobile Communication (GSM), Global Positioning System (GPS), PIC microcontroller, alcohol sensor etc., which can provide the whereabouts of the vehicle in the form of an SMS to the owner’s mobile phone. A working prototype of the proposed system was created and tested successfully. Such systems will be of great utility to cab and fleet operators in developing countries such as India etc.
AI based E-Healthcare in Rural Areas
Authors:   School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India., Rao* Dr. B. V. A. N. S. S. Prabhakar , Kumar Dr. Kadupukotla Satish ,   Associate Professor, Department of Computer Science, St. Peter’s Engineering College, Chennai, India., Sundeep Mr. Pidugu ,   Department of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.
Published: January 2020

This research objective is to provide valuable healthcare services to the people who are unable to access the health services. Many rural and agency people till date struggling like anything without having proper health care. Where there is a shortage of Medical services such as Doctors, Nurses, and Paramedical Staff member, Artificial Intelligence Technology can be handy. There is a huge amount of data being generated from different hospitals, handling this amount of data using relative database system is very difficult. This is the place where big data come to the rescue. Big data is one of the key pillars in the digitization of the world. There are many NGO’s or healthcare organizations in the world who is trying to provide various services to the people. But they need information of people who are suffering in order to provide services. Where do they get the information? This is where AI & Big Data come into the picture. After analyzing the disease pattern with big data offers different solutions to accomplish disease control steps. We should ensure a process for the collection of data and processing of the data through AI. The main theme is how Artificial Intelligence helps authorities to take a decision in critical situations for providing compassionate healthcare services to the rural & agency people..
Experimental Effect of the Impact of Stagnant Water on Solar Modules
Authors:   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria, Anyaka* B.O. , Mbunwe M.J. ,   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State., Ogbuefi U.C. ,   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria, Okoro P. A. ,   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria, Chike K. C. ,   Department, University of Nigeria, Nsukka, Post graduate hall residence, Nsukka
Published: January 2020

In this research, an experimental study of the impact of stagnant water on solar modules is investigated. Two different experiments using two identical photovoltaic (PV) modules S1 and S2 were used for the study. In the first experiment, the PV module S1 was covered with stagnant water and the second PV module was unshielded with water. In the second experiment, the PV modules were swapped with S2 covered with stagnant water and S1 unshielded with water. The experiments were carried out under normal operating temperature of PV cells at the Department of Electrical Engineering, University of Nigeria, Nsukka on latitude 6:52 degrees north, longitude 7:23 degrees. Results obtained from the first experiment show that the efficiency and power output of S1 PV module decreased by 9.3% and 8.0% respectively when compared with that of S2 PV module. In the case of output voltage and current, it was found that shielding of PV module S1 with stagnant water caused an increase in the output voltage by 1.93% and a decrease in the output current by 10.26%. In the second experiment, the efficiency and Output power of PV module S2 decreased by 9.21% and 8.18% respectively when compared with the unshielded PV module S1. In the case of voltage and current, it was found that shielding of PV module S2 with stagnant water caused an increase in the Output voltage by 1.63% and decrease in the output current by 10.91%.
An Association Rule Mining Based Model to Predict Learning Performance of a student with e-Learning Activity Log Data
Authors:   Dept. of Computer Science and Science Applications, Periyar Maniammai Institute of Science and Technology,Thanjavur, India., Arumugam* S. , Kovalan A. ,   Dept.of Computer Science, VSB College of Arts and Science, VSB Group of Institutions, Karur, India., Narayanan A.E. ,   Department. of Computer Engineering, Periyar Institute of Science and Technology, Thanjavur, India.
Published: January 2020

There is a wider scope in research on log data of computed aided learning and interactive learning. We have an enormous collection of log data of students’ activities during their learning process. Data Mining(DM) algorithms help us to discover knowledge and information from a huge and complex data sets. In a time-series log data, it is very complicated to verify the DM algorithms to mine the dataset. e-Learning activity log data is taken and converted into categorical data to predict the learning behavior of the students to implement the algorithms. The excavated knowledge can be used to modify the e-learning system. It is very easy from the result to note the slow learners and advanced learners well in advance before conducting an examination. Time series data is a numeric data that measures in a time period in successive order. The dataset used in this work is a UCI EPM dataset. It is a Non-Linear Time-Series Data. The converted dataset is used to apply a rule mining algorithm to predict the performance of a student. The measurements support and confidence will help us to predict the students’ performance. The results also have been compared with other classification mining algorithms. It assists to improve and to build an educational model on e-Learning. In turn it supports students, teachers, and educational system as well Learning Management System.
Fixed off Time Based Power-Factor Correction for AC-DC Converter
Authors:   Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India, Sonar* Santosh , Jahangeer  ,   M.D.U University Rohtak and master’s degree in electrical engineering from Thapar Institute of Engineering and Technology, Patiala, India.
Published: January 2020

The conversion of A.C to D.C determines the distortion of the mains current A.C., which degrades the input power factor. The main reason for a poor power factor is the non-linear nature of the circuit. In this paper power factor is improved by using a basic boost converter and a control technique based on the fixed off time(FOT) approach .The traditional approach to the correction of the power factor in the boost converter is the continuous conduction mode with fixed frequency (FF-CCM) and the transition mode (TM) PWM (fixed connection time, variable frequency). In the first mode, the inductor operates in continuous conduction mode (CCM) and uses the average current-mode control mode; a complex technique involves a considerable number of components. The second method uses the more complex control technique of the peak current mode that makes the inductor work between continuous and discontinuous mode, which uses fewer components, unstable greater than 50% duty cycle and is more cost efficient. A third approach, the fixed off time (FOT) is gaining popularity which is conditionally stable for a duty cycle of over 50% and does not need compensation. The paper work carried out to use the power factor correction (PFC) based on DC-DC Flyback converter. To verify the design and operation of the circuit, the simulation is performed in PSIM .A prototype is developed and results are presented.
Development of Algorithm for Audio Watermarking Embedding and Decoding using Patchwork Method under Attacks
Authors:   Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, India., Chincholkar* Yugendra D. , Ganorkar Sanjay R. ,   Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, India.
Published: January 2020

To protect digital multimedia content from unauthorized reproduction, digital audio watermarking played crucial role. Audio watermarking for the patchwork method has a relatively good level of perception quality.The challengesbetween security, robustness, and imperceptibility is contemporary area of researchand remains relevant issues. This paper introduces discrete cosine transforms (DCT)-based audio watermarking process using the patchwork method for conventional and advanced signal processing attacks. In the first stage of the watermarking audio signal is divided into an equal number of segments and its sub-segments, and then its coefficients are computed. After eliminating high-frequency related coefficients, remaining coefficients are used to form frame pairs of equal length. Watermarks are embedded in a frame using specific criteria and secured data key.The adjustments are made in such a way that the identification ofWatermarked pairs of DCT frames is done in the decoding process by applying the selection criteria used during the embedding process. From watermarked frames, watermark data is extracted by using a secure data key. The proposed audio watermarking algorithm is implemented and tested under conventional and advance signal processing attacks for robustness, imperceptibility, security, and data payload.
Implementation of Black hole Attack for Random Mobility for Single and Multiple Connection in MANET
Authors:   Student, GTU Graduate School of Engineering and Technology, Gandhinagar, India., Omprakash* Sharma Hitesh , Suthar Margam K. ,   Assistant Professor, Gujarat Technological University, Ahmedabad, India.
Published: January 2020

Mobile Ad hoc network is a temporary network. It helps to communicate two or more devices for short range. Routing Protocols are use to establish a communication in MANET. As it is a open network , it has many vulnerabilities from security point. Black hole Attack is one of the major concern in MANET. In this paper, we have implemented Black hole Attack in random mobility environment and analyse its impact on MANET using various parameters for single and multiple connection in MANET. Black hole attack disturbs one of the connection in the network while remaining connection are unaffected. During our analysis, we found that performance result of black hole attack in multiple connection network give a similar kind of output mentioned in various research paper related to gray hole attack, which will make difficult to analysis the type of attack in the network.
Hybrid Optimization for Optimal Distributed Generation Unit Placement in Radial Distribution System
Authors:   Electrical & Electronics Engineering department, SDM Institute of Technology, Ujire, D.K, Karnataka, India, affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., D.P* Somashekar , Ankaliki Shekhappa G. ,   Electrical & Electronics Engineering department, SDMCET, Dharwad, India, affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., T Ananthapadmanabha ,   Electrical and Electronics Engineering department, NIEIT, Mysuru, India., N.S Ramya ,   Electrical & Electronics Engineering department, Research Scholar, VTU, Ujire, India., Kumar P.N Santosh ,   Electrical & Electronics Engineering department, SDM Institute of Technology, Ujire, D.K., India, affiliate to Visvesvaraya Technological University, Belagavi, Karnataka, India.
Published: January 2020

In recent years, the demand for electric power is growing at a faster rate. This makes present time power system into a more composite one in structure and in terms of placing utility elements, operation, maintenance and control of power system to deliver the electric power to customers. To satisfy the demand for electricity is necessitate more generating units nearer to customer points and need of proper operational planning. The power loss is a major concern towards distribution system performance. Hence, minimization of losses in the system is a major consideration. The distributed generation plays significant role in satisfying the need for electricity demand and also helps in minimization of system losses by adopting intelligent algorithm technique. Among all its advantages, power losses, voltage enhancement and cost benefits are the prime areas of study in distributed generation units. So, placing and allocation of distributed generation acquire more attention towards distribution system. In this paper, an intelligent hybrid optimization technique is proposed for optimal distributed generating unit for minimizing the losses in radial distribution system. The proposed optimization technique is implemented for IEEE 33-bus system radial distribution system. The obtained simulated results provide the good applicability and enhancement in execution of the proposed hybrid method.
A Hybrid and Automated Epileptic Seizure Detection Model using Improved PSO and Extreme Learning ANFIS Network
Authors:   Assistant Professor, Department of Electronics and Telecommunication Engineering, Trident Academy of Technology, B.P.U.T, Bhubaneswar, Odisha, India., Mohapatra* Sumant Kumar , Swain Biswa Ranjan ,   Assistant Professor, Department of Electronics and Telecommunication Engineering, Trident Academy of Technology, B.P.U.T, Bhubaneswar, Odisha, India., Mohanty Madhusmita ,   Department of Electronics and Telecommunication Engineering, Trident Academy of Technology, B.P.U.T, Bhubaneswar, Odisha, India.
Published: January 2020

The main aim of the proposed work is to generate an accurate automated seizure detection model for the performance evaluation of the improvement on epileptic patients in an improved manner. Long data sets of EEG signals are recorded for a long duration of time which has taken from PhysioNet CHB-MIT EEG datset for this experimental work. Six types of elements are excerpted from EEG signals by using WPT method and which is then classified by using CFS method. Then, all the features are combinely inputted to the rule based twin- support vector machines (TSVMs) to detect normal, ictal and pre-ictal EEG segments. The developed seizure detection WPT-KWMTSVM method achieved excellent performance with the average Accuracy, specificity, sensitivity, G-mean, positive predictive value, and Mathews correlation coefficients are 97.14%, 97.33%, 97.00%, 97.31%, 96.85%, 95.96% respectively The average area under curve (AUC) is approximately 1. The proposed method is able to enhance the seizure detection outcomes for proper clinical diagnosis in medical applications.
Fill Time Analysis of 8 Cavities Parison Mould using Taguchi Method
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Suriani Rizal Najiy Rizal , Jumahat* Aidah ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Mohamad Nor Nor Hafiez ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Published: January 2020

In the plastic injection molding process, the optimization of the process parameters is a complex task. This paper presents the optimum conditions of the injection process for 8 cavities mold for 20g parison filled with Polyethylene Terephthalate (PET) by utilizing the Taguchi method. In the Taguchi method, the performance parameter is assumed to be the optimal parameter for injection molding process. An L16 (43) orthogonal array is considered as an experimental plan for the design parameters as suggested in Minitab version. The objective of this study is to propose an approach for efficiently optimizing injection molding parameter, i.e. fill time, with three different outputs, i.e. melting temperature, runner size and mold temperature. The illustrative application and comparison of results show that the proposed methodology outperforms the existing methods and can help injection molding process to efficiently and effectively identify optimal fill time process parameter. The result indicates the best performance for the highest contribution for each respond. This is due to the interaction of factors and it also gives the percentage contribution with 95% confidence level. The analysis using the Taguchi method showed the optimized fill time. The results show that the optimal parameters for the fill time during injection process of 8 cavities mold 20g parison is A1B1C4.
Simulation and Design of Neutral Point Type Buck Converter
Authors:   Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia., Omar* Mohamad Fauzi , Haris Harizan Che Mat ,   Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia.
Published: January 2020

This paper presents the simulation and design of Neutral Point Type (NPT) converters that have been used to increase power factor near one (1) which is unity. The circuit of the simulation has been design using Simulink MATLAB. The circuit was set to 50 kHz to generate Pulse Width Modulation (PWM) with carrier signal and comparing it with the reference signal. By adjusting the capacitor in the main circuit, the result of the simulation shows that the input current and voltage were in phase which is unity power factor while the output current and voltage produced having a low ripple. Thus, the simulation shows that the Neutral Point Buck type converter is suitable for maximizing power factor close to unity (1).