bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation of Supercapacitor Energy Storage System with Bi DC-DC converters
Authors: Reddy Tripuravaram Chandrasekhar , Reddy Koki Kesavardhan , Venkatesh Biyyala , Muthusamy Maheswari , Pillai Adarsh Vijayan
Published: November 2019

FACTS devices are extensively employed to enhance power system quality and security. They are capable of exchanging limited real power even though they have real and reactive power exchanging capability with power system. The main reason for the limited ability to exchange real power is not considering energy storage device. In FACTS devices STATCOMs are most commonly employed because of many advantages. STATCOMs coupling with Energy Storage Devices (ESD) like batteries, Supercapacitor, flywheels, semiconductor magnetic energy storage (SMES) were initiated to increase real power exchanging capability with the power system. Because of slow chemical reaction batteries the power discharging capability is limited. Present trend is to employ energy storage for short term to improve dynamic stability. Supercapacitor ESD will help in the dynamic stability and quality with STATCOMs. Even though they have less energy storing capability power exchanging capability is large when comparison with batteries. In this paper design of energy storage system with Supercapacitor is discussed and coupling with bi dc/dc converters with controlled strategies. To control the SCESS system a peak current mode controller is used. SCESS system is constructed in MATLAB simulink and results with Supercapacitor and without Supercapacitor are discussed in this paper.
NON INVASIVE HEARING AID USING THE NATURAL AMPLIFICATION OF EAR THROUGH BONE CONDUCTION
Authors: Thresa P. , Sundaram V. , Swamynathan P.V. , Kumar A.Kishore , Nisanth M.B. , Chandran K.Ajith
Published: November 2019

Several hearing aids have been invented for outer ear drum problems whereas inner ear drum problem is permanent and it can be fixed only by surgical means. This hearing aid is designed to use the natural amplification of ear. This device consists of a AVR controller, a GSM module, a playback module and a relay. Any signal that is received by the GSM module is transmitted to the piezoelectric actuator by the AVR controller which generates the vibrations that is sent to cochlea through the teeth. This way the sound is imported from the impaired ear to hearing ear. This device can be fixed on the teeth and no alteration of the teeth is required. It is completely non-invasive. The GSM module receives incoming calls and automatically answers the calls via AT commands. The playback module allows the user to hear music and receive the incoming calls giving priority to calls. A relay is used to switch between the music playback and GSM module. It is simple, removable and customizable according to the users will.
DESIGN, FABRICATION AND ANALYSIS OF PERSONAL VACUUM ASSISTED CLIMBER
Authors: Shanmugasundar G. , Jagadeeshwar P , Adithya S , Nagappan V , Bhaskar M
Published: November 2019

There are various instances where a human as to climb the walls of a high-rise building. Some of them are inspection of high pipes and wall, fire rescue operations, painting and repairs. Unlike the traditional method of using grappling hooks used for wall climbing, this device uses the principle of vacuum to scale the walls. The major motive of this project is to make the manufacturing and usage of this device simple. The suction is produced using the vacuum motor setup and a release valve mechanism is used to help the climber take successive steps. The suction force produced by suction pads is designed by considering both the external conditions and the loads of working equipment. In this research work we have performed a basic experiment on the vacuum suction force of suction pads attached to a vertical wall under various load conditions.
RETRACTED: CO-EXERCISE OF DT AND KNN CLASSIFIERS FOR FAULT DETECTION AND CLASSIFICATION OF SEMI SUPERVISED MACHINE LEARNING
Authors: Caroline El Fiorenza J , Sikerwar Deepeli , Reddy Jayasyam , Nitisha k , Joshi Muskan
Published: November 2019

In this paper a new comprehensive scheme for fault finding and logging for a compound progression is presented. This paper concentrates on the progression facts and skilful data, a trivial amount of labelled data and a large amount of unlabelled progression data are used for constructing the neighbourhood weighted graph. The optimal prediction label matrix of unlabelled data and the optimal regression function are obtained by solving the optimal problem. Then the monitoring data is projected to the low dimensional with the regression function, and the state label matrix of monitoring data can be acquired. This scheme can guarantee intrinsic structural of data by constructing an undirected weighted graph, and is suitable for the complex progression with nonlinear trait.
Automated car parking system
Authors: Azshwanth D. , Koshy Mithul Titten , Balachander Mr.T.
Published: November 2019

The main aim that we have is to create a completely automated car parking system with minimal human interference. With the rising population in the world, time is of the essence and hence we need to minimize the time taken by trivial activities such as finding a place to park in a busy place and avoid traffic congestion. We have seen in existing systems sometimes accidents can occur in parking situations by cars going at high speed o caused by frustrated drivers unable to find a parking space for a long period of time. In our project we propose a smart and automated car parking model that will help the user in booking their parking spaces beforehand and the vehicle will be able to park automatically once in the parking zone. The difference between our project of automated car parking systems is we hope to minimize human interaction as much as possible and make both the vehicle and the parking area fitted with sensors that will help us execute a safe and efficient way of parking. Hence, we aim to provide a completely safe and automated experience that is robust and can be implemented in real time and hopefully be implemented as the general norm for parking systems in the future.
Intelligent Transportation Cyber Physical system toward Comfort and Safety perspective using Fuzzy Logic
Authors: Selvanayaki P.Sri Sindhuja , KumarKaliappan Vishnu
Published: November 2019

Intelligent transportation cyber physical system (ITCPS) is used to enhance the safety and performance of the road transportation of a country. A crucial element that affects road safety is passengers comfort factor since a large crowd always invites accidents. An Intelligent Transportation Cyber Physical System is proposed using fuzzy logic for automatic crowd monitoring in buses. Sub-sentential research has been undertaken in ITCPS to manage traffic, safety, and security among which safety measures in the public transportation system is crucial. The main focuses of this paper are on passengers comfort factor and safety. The proposed framework gathers a large set of input parameters using an onboard sensor. Fuzzy logic is applied to identify whether the passenger bus is crossing the safety limit, the data are stored in cloud storage. The Intelligent Transportation Cyber Physical System then monitors the crowded area and allocates another bus by providing proper intimation to the users, the process avoids bus bunching. The test bed is created to simulate the Intelligent Transportation Cyber Physical System framework, with the different scenario the performance is measured.
WSN Based Tariff and Electrical Loads Theft Identification
Authors: Sasirekha N , Harirajkumar J , Haripriya S , Janani T , Jahan R Juhi , Janani R
Published: November 2019

Energy storing has turned into a notable statement for the society of nowadays. This paper displays a Wireless Sensor and Actuator Network (WSN) intended to offer help to a programmed framework, based on the GSM, which empowers a mindful utilization of vitality. The proposed system plays out a proficient administration of devices, machines and procedures, upgrading their activity to accomplish a decrease in their general vitality use at some random time. For this reason, significant information is gathered from smart sensors, which are placed at the required areas, just as from the vitality showcase through the wireless communication. This data analysis is to give learning about load use, and to enhance proficiency.
Intellectual Homography Based Global Motion Estimation For Blocks In Video Coding
Authors: Mathew Sharon Elsa , Kokila S.
Published: November 2019

Block matching techniques for estimation of motionis very commonly utilized for current video coding standards as it is simple and has reasonable performance. There always lies a homography among the consecutive frames in the sequences of video that is taken using the PTZ cameras because of the restricted movements. This symmetrical relationship of the frame is very useful to decrease the spatial redundancy. The estimation of motion is playing a very significant part in science nowadays. Many algorithms are been proposed to observe movement of the objects present in the space. In this project, a homographybased local maximum search algorithm is proposed for the accurate guidance of the small bodies present in the space. This method will helps for the accurate movement detection. The proposed method is proven to be more for the sequences when compared with the traditional fast algorithms. The simulation is carried out using MATLAB software.
A Comprehensive Analysis of Privacy-preserving Techniques in Deep learning based Disease Prediction Systems
Authors: Andrew J , Mathew Shaun Shibu , Mohit Batra
Published: November 2019

With the rise in demand for deep learning models due to its ability to learn features from data, and predict, it is widely used in disease prediction systems. However, as patient medical records are considered to be highly confidential due to them consisting of personal information, its privacy-preservation is of prime importance. Conventional privacy-preserving techniques often tend to hinder the utilitarian aspect of the system. In this paper we carry out a comprehensive analysis of privacy-preserving techniques for disease prediction systems that use deep learning along with a comparison of the different privacy-preserving techniques. This paper also discusses the existing privacy-preserving approaches in deep learning. They are cryptographic approaches, attribute-based encryptions, homomorphic encryptions and other hybrid approaches.
Iot Based Air Pollution Monitoring System Using Esp8266-12 With Google Firebase
Authors: Jenifer  , Aravindhar D. John
Published: November 2019

In this progress I am progressing to build an IOT air pollution monitoring System within which I will be able to monitor a Air Value done by internet server using net and may activate a alarm once the air value goes down on the far side an exact level, means that once there square measure enough quality of harmful gases measure within the air like co2, smoke, alcohol, benzene, NH3, temperature and wetness. it’ll show the air value in PPM in web-page so I will be monitoring it terribly simply. During this IOT project, will be monitoring the pollution level from anyplace using your pc or mobile. I will install this method anyplace and accurate data from devices using internet application using HTTP Protocol.
RETRACTED: Facial Recognition Using Aggregation and Random Forest Classification Method
Authors: Aishwarya K. , Kumar B. Suresh , Raju S. Viswanadha
Published: November 2019

Face detection and recognition performs an essential role in computer. There was tremendous increase in face recognition during the last years. There are numerous applications that require the face detection. As this face detection is the first step. There are many growing applications such as bank authentication, security access in system, enforcement of law, verification of credit cards, biometric authentication which works based on face detection. The goal of this paper is to presents a facial recognition system with deep learning methodologies. In this paper machine learning aggregation method is used to store the feature of detecting image and random forest algorithm also used to classify a detected image which is applied on face database and compared with previous algorithm which shows accurate ratio.
Power Quality Enhancement in Microgrid With Dstatcom Using Modified Reinforcement Learning Algorithm
Authors: Prabaakaran K , Krishnakumar Sri , Srividhya R , Ganesh Raw R , Gotham R , Tamilarasan R
Published: November 2019

To enhance the power quality issue in grid system a new strategy with modification in algorithm is presented as reinforcement learning. A new technique will mitigate issues like reactive power, harmonics, voltage sag, voltage swell. A system as a current controller to enhance the current issue and the voltage controller to enhance the power quality issues in voltage. Due to an issue of unbalanced load in the grid the weak AC supply can be compensated by using the modified reinforcement learning algorithm. During the occurrence of the power quality issue in the grid modified reinforcement learning algorithm is proposed due to quick response.
Detection of Bacterial Contamination and Ph Quantity Using Digitalization Strategy
Authors: Jayakumar D. , Rajmohan R. , Saravanan D. , Ramkumar MO.
Published: November 2019

Food is essential for all the human being. In the food we are gained the more number of energy to our body. But now days, Lot of chemical substances that are added in the food. That makes human being to be unhealthy person. Children are also affected due to unhealthy food. In our proposal, we used to find the quality of food using the pH sensor. The pH sensors are used to find the pH value of the food and also find the bacterial contamination of the food. This project is used for the government to find the quality of food in the restaurant and display their result in the server and also check the quality of food and display the output pH value in the message using GSM. In additional, we can also share the location of the restaurant.
Automatic Balance Provider
Authors: Prema G , Shobana G , Gowtham N K B
Published: November 2019

Rupee Note is the basic requirement in day-to-day life which are used everywhere. The Rupee Notes are in the denomination ₹10, ₹20, ₹50, ₹100, etc. and the coins are in the denomination ₹1, ₹2, ₹5. It is not sure to get the exact amount for the product while purchasing. It may be a difficult task for the shopkeeper to search the coins and provide the balance to each and every customer. This is the main purpose of designing such a machine. This machine designed for providing the balance amount in coins automatically to the customer. This machine captures the image of the note provided by the customer and the value of the note determined using image processing technique. The Image Processing is done with the help of Python OpenCV.
Heat transfer enhancement in thermosyphon with nanofluid
Authors: Das Sidhartha , Giri Asis , Samanta S.
Published: November 2019

Heat transfer enhancement in a two phase closed thermosyphon was studied. CuO nanofluid and deionized water as a working medium was investigated. The experiment was carried out at different heat input of 10W and 16W. To see the effect of inclination angle, thermosyphon was varied at different inclination angle of 30°, 45°, 60° and 90°. The average size of the nanoparticles were around 50 nm in size.
Pattern Classification of Continued Fractions With Square Number as Base
Authors: Venkatachalam A. , Balamurugan P.
Published: November 2019

In number theory, study of number sequences is an enthusiastic area. Among these the sequence of polygonal numbers gives a unique richness in is applicability. Polygonal numbers which have both order, rank of are of various dimensions. Here, the study is only on two dimensional figurate numbers. Here the ratios of polygonal numbers are studied as continued fractions. In this paper different types of properties and characteristics of sequence of continued fraction which represent ratios of polygonal number of same rank are discussed. As any polygonal can be sub divided into smaller squares, square numbers have been taken as base here. Based upon on this study the nature and periodicity of the general sequence can be studied in detail.

Notations:

1. 〈 u
0, u
1, u
2, u
3, …., un
〉 – Continued fraction expansion

2. S
5,n
- Pentagonal number

3. S
6,n
- Hexagonal number

4. S
7,n
- Heptagonal number AMS Classification: 11A55
Assessment of Co-Variance for Transmission Flow Series-Parallel Reliability Systems
Authors: Razak K. Abdul , Rajakumar K.
Published: November 2019

A methodical hypothesis of dependability depends on likelihood hypothesis. It is outstanding that the ordinary unwavering quality examination utilizing the probabilities has been observed to be insufficient to deal with the uncertainty of disappointment in information and displaying. The fluffy set hypothesis gives a helpful instrument to supplement customary dependability speculations. This paper proposes the transmission stream framework outline in arrangement parallel structure to assess the most extreme unwavering quality subject to the frame work cost. The co-productive of variation (CV) is acquainted with evaluate every enrollment work. This approach is to discover least CV with high reliability gauge.
Solving fully fuzzy linear systems by Gauss Jordan Elimination Method
Authors: Muruganandam S. , Razak K. Abdul , Rajakumar K.
Published: November 2019

In this paper, we discuss fully fuzzy linear systems with triangular fuzzy numbers. A Gauss Jordan Elimination Method is proposed for solving fully fuzzy linear systems (FFLS). We used elementary row operations augmented matrices of crisp linear system of equation to arrive the row reduced form. The method in detail is discussed and illustrated by a numerical example.
Solving Transportation Problem with Four Different Proposed Mean Method and Comparison with Existing Methods for Optimum Solution
Authors: Sathyavathy M. , Shalini M.
Published: November 2019

In this article, finding an optimal solution is the prime requirement for the transportation problems. We compared a four different proposed mean (PAM, PHM, PGM, PQM) to find out the optimum solution of a TP. The most attractive feature of this method is that requires very simple statistical and rational calculation, that’s why it is very easy even for layman to understand and use. This method will be very beneficial for those decision makers who are dealing with logistics and supply chain related issues. A Numerical illustration is established and the optimality of the result received by this method is also verified. MSC: 90C08
A Survey on Animal Voice Recognition: Mood and Behaviour using Machine Learning Approach
Authors: Santhanakrishnan C. , Jha Nitish , Verma Vishal
Published: November 2019

Voice recognition frameworks turned into the fundamental applications for discourse recognition innovation, a creature affirmation framework bolstered creature voice design recognition rule has been created. The proposed creature voice recognition framework uses the zero-cross rate, MelFrequency Cepstral Coefficient and Dynamic-Time wrap joint calculations in light of the fact that the instruments for recollecting the voice of the genuine creature. ZCR is utilized for the begin point recognition of testing voice indicated the commotion might be expelled. MFC is utilized for the strategy for quality extraction wherever an extra consolidated and less excess of the delegate voice might be accumulated from the testing voice. while the voice order will be finished by abuse DT WRAP rule. At that point the voice coordinating is done to distinguish and characterize the creature seen by the framework. The program made and data noted demonstrates the recognition framework works.
A Survey on Tracing Heart Attacks by Pulse Monitoring in IoT
Authors: Santhanakrishnan C. , Poojitha N. Gayathri , Jahnavi Reddy L
Published: November 2019

Safeguarding one’s health is optimal for longevity and a good life. Heart attacks have become so common amongst the public due to the lifestyle and food habits being followed. Early detection of an oncoming heart attack can help reduce seriousness of the incident and safeguard the patient’s health. Technology has always been used in healthcare and has proved to be extremely beneficial. Internet of Things is a phenomenon that is utilized in day to day human activities. It is an interlinked collection of hardware devices, home appliances that are interfaced with electronics, software, sensors, and actuators. Internet is the backbone of connectivity and Things mean objects or devices. Sensors play a vital part in the field of IoT. To provide a system where heart attacks can be detected early, heart beats of the patient are monitored using a pulse sensor and a temperature sensor, which is then interfaced with a microcontroller. This sensor will be installed in a wearable device. When the heartbeat of the patient exceeds a certain threshold value, an alert will be sent to the remote family, and the medical authorities with the help of the Internet. Sensor is used for sensing the heart beats. The microcontroller receives these beats and evaluates pulse. If the pulses are above or lower than the threshold value, the microcontroller initiates WiFi module and sends out distress message to mobile contacts previously stored inside microcontroller.
A Survey On Auto-Image Colorization Using Deep Learning Techniques With User Proposition
Authors: Santhanakrishnan C. , Durgapal Neeraj , Yadav Deepak
Published: November 2019

An approach based on deep learning for automatic colorization of image with optional user-guided hints. The system maps a gray-scale image, along with, user hints” (selected colors) to an output colorization with a Convolution Neural Network (CNN). Previous approaches have relied heavily on user input which results in non-real-time desaturated outputs. The network takes user edits by fusing low-level information of source with high-level information, learned from large-scale data. Some networks are trained on a large data set to eliminate this dependency. The image colorization systems find their applications in astronomical photography, CCTV footage, electron microscopy, etc. The various approaches combine color data from large data sets and user inputs provide a model for accurate and efficient colorization of grey-scale images.
RETRACTED: Automatic Image Captioning Using Convolution Neural Networks and LSTM
Authors: Subash R. , Jebakumar R. , Kamdar Yash , Bhatt Nishit
Published: November 2019

PC vision has turned out to be universal in our general public, with applications in a few fields. Given a lot of pictures, with its inscription, make a prescient model which produces regular, inventive, and intriguing subtitles for the concealed picture. A speedy look at a picture is adequate for a human to call attention to and portray a monstrous measure of insights regarding the visual scene. To rearrange the current issue of producing inscriptions for pictures by making a model which would give exact subtitles to these pictures which can be additionally utilized in other helpful applications and use cases. Be that as it may, this momentous capacity has ended up being a tricky errand for our visual acknowledgment models. Most of the past research in scene acknowledgment has concentrated on naming pictures with a predetermined arrangement of visual classifications and extraordinary advancement has been accom-plished in these undertakings. For a question picture, the past strategies recover pertinent hopeful normal language states by outwardly contrasting the inquiry picture with database pictures. In any case, while shut vocabularies of visual ideas comprise a helpful demonstrating suspicion, they are boundlessly prohibitive when contrasted with the colossal measure of rich depictions that a human can form. These methodologies forced a breaking point on the assortment of inscriptions produced. The model ought to be exempt of suppositions regarding explicit pre decided formats, standards or classes and rather depend on figuring out how to create sentences from the preparation information. The model proposed utilizes Convolution Neural Networks which help to separate highlights of the picture whose subtitle is to be created and afterward by utilizing a probabilistic methodology and Natural Language Processing Techniques reasonable sentences are framed and inscriptions are produced.
Neutrosophic Transportation Problems Using Zero Suffix Method
Authors: Sathya geetha S. , Selvakumari K.
Published: November 2019

The aim of this paper is to propose a method for finding an optimal solution for Neutrosophic Fuzzy Transportation Problem (TP). Here, a new ranking approach to solve fuzzy Neutrosophic transportation problems under the approach of zero suffix method together with the scalar division of fuzzy numbers is introduced. The solution of the given problem which satisfies the conditions of optimality and feasibility by proposing the method together with scalar division and triangular ranking technique.
AnatomyMR: A Multi-User Mixed Reality Platform for Medical Education
Authors: Murugan Amarnath , Balaji Ganesh.A , Rajkumar R.
Published: November 2019

Mixed Reality (MR) has opened up new means of imparting education, especially in the medical field. Students could view the whole human anatomy and it’s components at multiple levels of scale to learn their location and naming nomenclature, and also interact with them separately to familiarize themselves with their functions. In this paper we propose a platform for Medical education in MR which creates shared experiences, providing support for teaching within classrooms. The application would also work as a standalone experience, augmenting important information over the anatomy model for the student’s reference when a shared experience is not in session, thereby facilitating self-study. The platform would be built in such a way that the instructors would also have the option to add 3D models and relevant content to the existing courseware and have it rendered in the mixed reality space.
Enhancement Of Navigation Technology Using Augmented Reality
Authors: Kumar Bakka Naveen , Saranya P. , Bindra Keshav
Published: November 2019

Navigation technology has observed a tremendous advancement in the last 10 years with people shifting from using traditional maps to satellite based navigation smartphone apps such as Google maps and Apple maps. These applications mainly focus on outdoor navigation and represent the route in a 2-D layout, which sometimes lacks clarity when it comes to distinguishing between overlapping paths. One more area where this project is focused is indoor navigation. Indoor navigation can be helpful for navigating inside big buildings like hospitals, malls and airports. For example, when a user enters a mall and he or she needs to find a particular showroom, he just needs to put the name of that showroom and he would get 3-D augmented objects on his device which will point to that showroom as he follows the designated path. Augmented reality is used combined with satellite based GPS technology to navigate outdoors as well as indoors. The application uses 3-D markers to point the direction to the user in a real time environment on their devices which will be easy to understand and navigate. At the same time it will augment location based point of interest along the path, which will provide more clarity to the user about his or her environment. From this project we hope to develop a navigation application for users which is easy to use and understand.
Smart Iot-Based Latecomer / Defaulter Prediction System For Educational Institutions
Authors: Amutha S. , Ananthi G. , Raja Sekar J.
Published: November 2019

In current scenario, educational institutions insist the learners to be punctual. Usually students who are late to their classes are being monitored manually. It is not feasible to monitor regularly since there is a need for manpower at a particular time to register the students those who are late. In such cases there is a need for an automated system to monitor the late comers. This is implemented by acquiring input information from sensors. Passive Infrared Sensor is used to detect the motion of the object whereas RFID is used to retrieve the student details which can be mapped from their unique Id. Along with this, a camera module is used to capture the images of the unidentified entries those does not wear ID cards. The activation of the monitoring system can be customized with the help of the application deployed at a local server. The system can be made active in particular duration with the various time specified. As part of the automation process, an alert mail will reach the respective authority with the list of latecomers and the images those who are unidentified by RFID. By these methods the identification of the late comers will be automated and makes an easier way to track the late comers.
Preprocessing Techniques and Area Estimation of ECG from a Wireless ECG Patch
Authors: Kumar G Sai Phani , Sajith Variyar VV , Soman KP
Published: November 2019

In electrocardiograms (ECGs), most of the clinically helpful information is found within the wave intervals, amplitudes, or morphology. This is principally motivated by increasing aid prices and propelled by recent technological advances in miniature bio sensing devices, electronics, and wireless communications. This paper tries to comprehensively review and experiment economical and strong strategies for machine driven ECG pre-processing and delineation for ECG information from a wearable device named WiPoint Patch HP111x developed by HMicro, Inc. ECG signal quality is the key factor in determining the diseases of the heart. The proposed methods delineate the P and T waves and helps to get the area of the wave. This information can be further used to identify the specific cardiac problems.
Analysis of Air Pollution in Three Cities of Kerala by Using Air Quality Index
Authors: Jyothi S.N , Kartha Kishan , Divesh  , Mohan Adarsh , Pai U Jithin , Prasad Geena
Published: November 2019

Air pollution has an appalling effect on human health and our planet has a whole. This study quantifies air pollution using a parameter – Air Quality Index and compare the pollution of air in six major sites across Kerala, India (South over bridge and Eloor in Ernakulam district, Pettah and Veli in Thiruvananthapuram district, Chavara and Kadappakada in Kollam district). The significant differences in seasonal variation of pollutants in the three districts are also studied. The conclusion of the study shows: a) Air Quality Index in all these areas is predominantly determined by Particulate Matter concentration; b) Ernakulam district has the highest Air Quality Index among both industrial and residential areas and Kadappakada, Kollam has the lowest Air Quality Index among all the six areas studied; c) The air quality deteriorates during winter and summer because of limited pollutant dispersion.
A Comprehensive Survey of Spam Profile Detection Methods in Online Social Networks
Authors: Krithiga R. , Ilavarasan E.
Published: November 2019

Social networks have grown into a popular way for internet surfers to interact with friends in addition to family members, reading news, and also discuss events. Users spend more time on popular social platforms (e.g., Facebook, Twitter, etc.) storing and sharing their personal information. This fact together with the prospect of communicating thousands of users fascinates the concentration of malicious users. They exploit the implicit trust interactions concerning users with the purpose of accomplishing their malicious objectives, for instance, create malicious links inside the posts/tweets, spread fake news, send out unsolicited messages to genuine users and so on. In this paper, we reviewed various existing techniques on spam profile detection in online social networks.
Optical and Structural properties of Ni-doped Co3O4Nanostructure Thin films Via CSPM
Authors: Chiad Sami Salman , Noor Hussein Ali , Abdulmunem Oday Mazin , Habubi Nadir Fadhil
Published: November 2019

In this research, Co3O4:Ni thin films have been prepared by a chemical spray pyrolysis method (CSPM). The synthesized samples, structure and morphology of creating Co3O4:Ni thin films were characterized by X-ray diffractions (XRD), and Atomic Force Microscopy (AFM).

The impacted of Ni concentration were changed from 0 to 4 % by XRD results cause increasing the crystallite size, while the Microstrain and the dislocation density are decreasing. Furthermore, the AFM imaging shows of Co3O4:Nithin films involving a classic amorphous polymer-metal complex synthetic route where Co3O4 films are uniformly embedded with 3D nanoparticles Ni skeleton. The optical properties approve that the energy gap increased from 2 eV to 2.5 eV at 4% Ni doping.
Comparative Investigation for Solar Thermal Energy Technologies System
Authors: Al_Qasab Mohammed R. , Abed Qahtan A. , Abd Al-wahid Wisam A. , Al-Naffakh Jameel T.
Published: November 2019

The multiple uses of fossil fuels make them depleted in the coming years. Also, the large amount of pollution produced by the use of this fuel has made the world seriously think of environmentally familiar alternative sources of energy. Universal energy is vast and diverse energy, with the ability to cover the individual’s energy needs in various fields in the coming years. The focus of this study was a parabolic dish system. There are different uses solar of parabolic dish applications that can be limited by two main groups: thermal generation and electric power generation. A thermal generation used to generate steam, solar cooking, water heating, and water distillation. The briefly objective is to review and analysis the thermal generation published by taken into considering used parabolic collector system. Also, evaluate solar dish operators in differences covering like, the composition of concentrators, the material of reflector, receiver design, parabolic dish diameter, rim angle, and focal length. These characteristics drive to entire structure possible for a parabolic dish. Finally, this article may be useful for the new research worker to consider the requirement for Thermal solar generation integrated with a parabolic dish.
Synthesis and characterization of cobalt-doped cadmium oxide thin films prepared by sol–gel spin coating method
Authors: Kannan Nithin K V , Krishnappa M. RM.
Published: November 2019

In this work, cobalt-doped Cadmium oxide thin films are prepared by sol-gel spin coating technique on the glass substrate. The effects of annealing temperature and Co concentration on Structural, optical properties of the thin films are studied. XRD pattern indicates that a CdO single phase with a cubic polycrystalline structure is formed in all the samples. Prepared thin film samples were revealed by EDX analysis. Optical measurements show that the optical transmission of the layer is reduced and the optical-band gap decreases due to the increase in molar concentrations. The optical-band gap is decreasing while increasing of Co concentration and annealing temperature.
Deep Analytics based Patterns Evaluation from Nano-Particle Datasets
Authors: Ubaid Ahmed Qasim , majeed Nadia Mohammed , Ali Savore Ahmed Mohammed
Published: November 2019

The nano-particles are not limited to the domain of physics rather it is now days used for the applications in information technology and bio-informatics whereby the assorted streams can be integrated. In this research paper, the analysis of the nano-particles related to the brain waves are taken so that the predictions on the datasets can be done for effective discovery and identification of the brain related diseases. This manuscript is having focus on the usage of machine learning based approach for the predictive analysis of the brain related diseases and found that the need to integrate the information technology to biological domains are quite mandatory for the medical sciences.
Analysis and Design of Mechanically Stabilized Reinforced Earth Wall
Authors: Varma B ASHOK , Sekhar G CHANDRA , Avinash P SAI
Published: November 2019

Soil confinement systems are very important elements for every highway design. Different types of soil reinforced wall have evolved over the last past 20 years. For many years retaining structures were made of reinforced concrete. The cost of conventional retaining walls increases rapidly with increase in height of wall. Reinforced earth walls are cost effective soil retaining structures and can tolerate large settlements than conventional concrete retaining wall. Due to this reason Reinforced earth technology has completely replaced conventional concrete retaining structures. Geo-grid reinforced earth wall retaining structures have gained wide acceptance. Present research deals with analysis, design and construction of back to back RE wall. At present observations were done during construction of RE wall carried by TECHFAB INDIA LTD for ensuring knowledge of designing the RE wall. Analysis and design of RE wall was done based on following FHWA – 043 code and BS: 8006. Similarly steel strips reinforced earth wall and concrete retaining wall are designed. Cost comparison is made which shows that Geo-grid reinforced earth walls are more economical than concrete retaining walls. Cost calculation of Geo-grid reinforced earth wall is done by varying angle of internal friction of reinforced soil.
Theorizing Communicative Styles on Social Media: An Etymological Shift
Authors: Ramachandiran Chandra Reka , Mahmud Malissa Maria
Published: November 2019

Distinct polarities of gender stereotypes ascertain that communicative styles demonstrated by men and women are fundamentally disparate. Numerous researches have established varying communicative styles and methods involved in interpersonal communication, predominantly in the analysis of conversational styles as well as etymological strategies. Nevertheless, the widespread of social media has contributed to a pivotal, fascinating shift in the utilization of lexes, encompassing less conventional gender-based articulacy and distinctness amongst youths within virtual setting. Drawing on the data from both disseminated survey and purposive observations on sampled Twitter accounts, this study probed on the correlation between gender stereotypes, communicative styles and linguistic features, manifesting the aggressive, assertive, passive-aggressive and passive traits which are associated with gender-based, stereotypical communicative styles. The findings yielded dominating percentages of males against females in which males possess and exhibit all four traits of communicative styles whereas the observations revealed that both genders demonstrate passive-aggressive and assertive traits.
A survey on machine learning algorithms for the blood donation supply chain
Authors: Mahadevan Subramanian , Poornima S , Tripathi Kartikeya , Pushpalatha M
Published: November 2019

With the proliferation of big data, the need for intelligent and automated systems has risen. This need is probably felt the most in the field of health care, especially in the area of blood transfusion, since they require supplies at the earliest. Currently, transfusion services are heavily manual in nature, which is not ideal. The rising demand for blood and the decline in donation rates has put a lot of strain on the blood donation supply chain. Hence, creating intelligent systems that can make decisions and improve communication across the supply chain is of great importance. In this paper, we are going to give a general summary of the various machine learning techniques which have been applied to this domain and compare their advantages and disadvantages.
BOT Kitchen for Pantry
Authors: Devi M.Uma , Phogat Shaifali , Kapur Pranav
Published: November 2019

This system is software which is helpful for the businesses operate hardware stores, where storeowner keeps the records of sales and purchase. Mismanaged inventory means disappointed customers, too much cash tied up in warehouses and slower sales. This project eliminates the paper work, human faults, manual delay and speed up process. Inventory Management System will have the ability to track sales and available inventory, tells a storeowner when it’s time to reorder and how much to purchase. In this project, the inventory is managed for the stock on grocery on hotels. The grocery is the important factor for the food preparation industries. The remaining stock in store room is identified using the load cell and the RFID tags. If the weight of the particular item gets reduced below the threshold, then automatic SMS will be sent to the super market. All these details of the load cell are updated in the IOT cloud with date and time. The owner can easily monitor the store room status from anywhere and at any time.
URL Scrutiny to Circumvent Phishing
Authors: Mahalakshmi P. , Motwani Bharat , Bajpai Akhil
Published: November 2019

Increasing the number of cyber-crimes and frauds it has become the need of hour to seriously consider the threat and make some solid security arrangement against it. The links or Uniform Resource locator (URL) can be classified as benign, spam or malicious thus informing the user beforehand about its safety. As emails are hook to attach malicious URL, luring to catch the users. Malicious URL are the most common tool used in breaking identity and attacking either the system database or some financial frauds. Instead of focusing the source of such links if the rigorous testing on various attributes is performed on the URL itself using Random forest algorithm for threat detection and Support Vector Machine (SVM) to consider even the extreme cases is expected to improve the coverage and thus can provide the system user with high level security from counterfeited URL.
An Approach to Secure Software Defined Network against Botnet Attack
Authors: Ravindran Sreevidhya , Moorthy Vaishnavi , Venkataraman Revathi
Published: November 2019

The traditional hierarchical networking models, although still in use by many networks of today, are inflexible and unable to manage the huge networking infrastructure. This has led to shifting to a more flexible, dynamic and virtualized network infrastructure called Software Defined Network. SDN being a dynamic network manages the traffic flow efficiently due to its OpenFlow controllers. Although SDN is the most conventional model used today, some of its drawbacks have caused disruption on a large scale. Security is one such drawback, which is of major concern in recent times. There have been multiple researches and attempts to address this issue with an aim to permanently eliminate the threat, but with the rapid technological development, an equivalent powerful trust computing protocol is required to be implemented in order to overcome it. This paper focuses on a Botnet Distributed Denial Of Service (DDOS) attack that takes place in the control plane of the Software Defined Network. This malicious attack has proved to be the most dangerous threat of the web. From flooding a website to bringing down the entire server, this ‘zombie’ network has created haphazard among reputed businesses. An attempt is made to implement a powerful secured technology that can tackle the botnet attack, protect the networks and minimize their vulnerability to such threats that can eventually bring down the ratio of cybercrime in today’s world.
Online Book Recommendation System using Collaborative Filtering (With Jaccard Similarity)
Authors: Rana Avi , Deeba K.
Published: November 2019

Recommendation System (RS) is software that suggests similar items to a purchaser based on his/her earlier purchases or preferences. RS examines huge data of objects and compiles a list of those objects which would fulfil the requirements of the buyer. Nowadays most ecommerce companies are using Recommendation systems to lure buyers to purchase more by offering items that the buyer is likely to prefer. Book Recommendation System is being used by Amazon, Barnes and Noble, Flipkart, Goodreads, etc. to recommend books the customer would be tempted to buy as they are matched with his/her choices. The challenges they face are to filter, set a priority and give recommendations which are accurate.

RS systems use Collaborative Filtering (CF) to generate lists of items similar to the buyer’s preferences. Collaborative filtering is based on the assumption that if a user has rated two books then to a user who has read one of these books, the other book can be recommended (Collaboration). CF has difficulties in giving accurate recommendations due to problems of scalability, sparsity and cold start. Therefore this paper proposes a recommendation that uses Collaborative filtering with Jaccard Similarity (JS) to give more accurate recommendations. JS is based on an index calculated for a pair of books. It is a ratio of common users (users who have rated both books) divided by the sum of users who have rated the two books individually. Larger the number of common users higher will be the JS Index and hence better recommendations. Books with high JS index (more recommended) will appear on top of the recommended books list.
An Investigation of the DC Charging System and Electric Vehicle in Relation To Autonomous Distributed V2G Implementation
Authors: Almyaly Amer Himza
Published: November 2019

Vehicle-to-Grid (V2G) forms one of the promising platforms capable of supplying the power system with the distributed spinning reserve. This paper proposes an autonomous V2G control scheme through which user convenience in vehicles could be managed. Also, the proposed system strives to support the management of the power system contribution and battery condition during idle time. To verify the performance of the proposed system’s interface, system efficiency, and communication and control structure, an integrated interface controller, a controllable bi-directional power conditioner, and the test system responsible for electric vehicle battery test bed coordination (with a DC charging port) are used.
An Understanding of Artificial Bee Colony Algorithm from the Perspective of Computation and Applied Mathematics: A Comparative Study
Authors: Mohammed Ali Hassan , Yasir Asmahan Abed
Published: November 2019

In the recent past, one of the swarm-based algorithms that have been introduced is Artificial Be Colony (ABC) algorithms. The role of ABC lies in the stimulation of honeybee swarms’ intelligent foraging behavior. This study applied the ABC algorithm toward large numerical test function optimization. Also, the results were compared with those that had been reported by experimental studies employing evolution strategies, differential evolution algorithm, particle swarm optimization algorithm, and genetic algorithm. From the findings, the study established that ABC exhibits superior performance compared to population-based algorithms, with other situations also witnessing the algorithm’s performance likened to or similar to the population-based algorithms. The factor that explained the superiority of the ABC algorithm was that it employs fewer control parameters.
Examining a Round Vessel Relative to the Impact Posed By Porous Media and Constant Wall Permeability on the Creeping Flow: In Relation to Computational and Applied Mathematics Techniques
Authors: Hamil Shahed Ali , Majeed Abdulrahman H.
Published: November 2019

In this study, the main aim was to determine the impact of the parameters of porous media and constant wall permeability on the round vessel’s creeping flow. To determine the exact solution, the study employed the inverse technique. Also, the mathematical expression for leakage flux, flow rate, pressure distribution, wall shear stress, velocity components, and stream function were used to understand the flow behavior. The motivation was to determine how flow properties exist relative to porous media and wall permeability. From the findings, the study established that there is a reduction in fluid velocity when the permeability of the porous medium is low. The maximum permeation rate was recorded at 84% and was obtained following high osmotic pressure drop and increased wall permeability. Similarly, the porous media’s state of porosity did not affect the amount of permeable fluid, as well as leakage flow. Rather, these parameters dependent on the nature of constant wall permeability.