Asian Journal of Convergence in Technology
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A Novel Approach Towards Prediction of Mosquito-Borne Diseases
Get PDFCommunicable diseases, particularly vector-borne diseases, are a leading cause of morbidity and mortality worldwide. In the age of big data, answering broad-scale, basic issues regarding the nuanced nature of these diseases would increasingly necessitate the synthesis of diverse datasets to produce new biological information. Data mining and deep learning have the potential to make important advances in understanding fundamental aspects of vector-host-pathogen interactions, and their use in this area should be welcomed. Data mining and machine learning approaches such as deep learning lag in this area and should be used in conjunction with existing methods to speed hypothesis and information generation. Deep learning is used in this research to forecast mosquito-borne diseases based on environmental factors
A learning and helping virtual reality app using voice frequency
Get PDFVirtual Reality is implemented by a combination of technologies that are used in order to visualize and provide interaction with a virtual environment.Computer generated Reality is carried out by a blend of advances that are utilized to picture and furnish connection with a virtual climate. These conditions frequently portray three-dimensional space which might be reasonable or nonexistent, plainly visible or infinitesimal and dependent on sensible actual laws of elements, or on fanciful elements. The large number of situations that VR might be utilized to portray make it comprehensively appropriate to the numerous regions in instruction. A vital element of VR is that it permits multi-tactile collaboration with the space being pictured. Here we take a gander at how this mix of multi-tactile perception and intuitiveness make VR unmistakably appropriate for compelling learning and attempt to clarify this viability regarding the benefits managed by dynamic learning through encounters
Radial Fatigue Analysis of Automotive Wheel Rim(ISO 3006)
Get PDFDue to many unexpected harsh environmental conditions of the road, automotive wheel is a vital part to ensure the vehicle safety and performance. ISO-3006 provides a comprehensive fatigue life experiment to validate proper wheels. This article is investigating a car wheel under the dynamic radial fatigue test of the ISO standard. This study aims to compare five different commercially available materials of the wheel concerning the ISO test conditions. As the wheel rim weight has a great impact on the performance of the vehicle, this comparison is considering the weight of the wheel made of various materials. The test is simulated via ANSYS software with a dens mesh to ensure the highest possible accuracy of results. Among selected materials, the CFRP is demonstrating the best fatigue strength to weight ratio in ISO radial fatigue test
Development of gravitational acceleration measurement set up based on laser beams
Get PDFIn this paper, using three parallel laser beams system we have calculated the value of gravitational acceleration (g) by deriving a simple equation, where there is no velocity term, is reported. The numerator of the equation is always positive irrespective of distances. The setup consists of commonly available three red laser light-emitting diodes and three sensors using very common fast transistors. A free-fall object intercepts the laser beams to produce three voltage pulses across the collector-emitters of three transistors. These voltage pulses are fed to a storage oscilloscope for measuring the two time-intervals between two subsequent gaps of three laser beams with millisecond resolutions. Time intervals are also measured by two-microsecond timers in microsecond resolution. The object may fall from any height above first laser beam, but the 'g' calculated remains the same. Measurements were done by letting an object fall from two different heights, six times from each height, and the average value of 'g' of 9.8036916315 meters per second squared is calculated using the data of two-microsecond timers, which has a 0.03% deviation from the standard value of 9.80665 meters per second squared. Results obtained using microsecond timers are more accurate than that obtained using oscilloscope millisecond data
Control of Hybrid Energy Storage System for Hybrid Electric Vehicles using Uniform Continuous Higher Order Sliding Mode Control
Get PDFThe goal of this paper is to control a fully active hybrid energy storage System (HESS) with a battery and super capacitor (SC) by introducing an uniform higher order sliding mode control. The system parameters to be tracked are the battery and SC current. To track the reference values of battery and SC currents, an uniform continuous higher order sliding mode controller (UCHOSMC) is applied which is a combination of two controllers one is an uniform super twisting control for disturbance rejection and other is uniform time convergence for a disturbance free system. Current references to be trackedare generated by a rule-based energy management system, the stability of the system is validated using Lyapunov stability analysis. The simulation results show the robustness of the controller with an effective tracking of the reference values under different load conditions
Biomedical Sleep Inducer System
Get PDFSleeping difficulty called insomnia, can involve difficulty in falling asleep one who has first go to bed at night, waking up too early in the morning and waking up often during night. The lack of restful sleep can affect your ability to hold out daily responsibilities. All types of insomnia can cause day time drowsiness, poor concentration, and therefore the inability to feel refreshed and rested in the morning. Magnetic flux related to the plannet is termed geo-magnetic fields. It is essentially dipolar on the earth’s surface. Many of us experience sleeping well within the natural surroundings into a tent or a wooden hut. This fact is because of not only to the healthy atmosphere but also from our unconscious ability to perceive natural earth’s magnetic fields. Our paper is about this sort of geo-magnetic –fields. This has been designed a circuit, which radiates an electromagnetic field which is low frequency through a radiator coil and our aim is to perceive them, in this manner our brain is surrounded by a perfect environment for a sound sleep
An IoT Based Intelligent Parking System for the Unutilized Parking Area With Real-Time Monitoring Using Mobile and Web Application
Get PDFThe parking place number still remains insufficient despite the continuous growth in vehicle number. This study proposed a solution using modern technology to resolve these parking issues. The proposed solution is an automated parking management system that reduces parking scarcity by providing unused car parking places. This project has used IoT, mobile application, a web application to serve the following services, parking management, parking place availability monitorization, real-time invoice generation, payment system and, parking management. By proving this system, the hassle of people will be reduced as they are getting updates on nearby available parking spots. Alongside IoT, mobile application, web application other technologies such as GPS -GSM module, image processing method, and other technologies were integrated. The system offers both web and android app-based solutions for better customer experience and easy usage. Moreover, there is also an offline mode to use the system
Solar Photovoltaic Array Reconfiguration for Reducing Partial Shading Effect
Get PDFIn the photovoltaic (PV) system some problems happen causes a substantial reduction in power generation, one of these problems are Partial shading (PS), and (PS) happen when some obstacles block the sun's rays on the photovoltaic (PV) cells in a PV array, panel, or module in the PV system. Therefore, this paper suggests a method for reducing the effects of partial shading and increasing output power by reconfiguring a solar photovoltaic array using a new shade dispersion strategy (NSDS). The improvements achieved in maximum power point MPP when the shadows are angled or have a significant size, NSDS is also suitable for any photovoltaic array size. The simulation in this study was done by using MATLAB-software Simulink. Different shapes for shades were taken like Short and Wide (SW), Short and Narrow (SN), Long and Wide (LW), and Long and Narrow (LN) partial shading in addition to diagonal shade (DI). The suggested method was used on 6x3 photovoltaic panels to solve the partial shadow problem that cannot be solved by some previous shadow dispersion methods like so du Ku and stepwise. Also, it is applied to a 4x2 PV array which is considered difficult to spread the shadows to all PV panels because of its small size. Analysis and comparisons of the output characteristic were done using Cadmium telluride (CdTe) F-4112-3 PV panels and it was found that the increment in the generated power is more than 30% in comparison with the typical series-parallel (SP) for the SW and LW shades while it is more than 30% and 20% in comparison with the Total-Cross-Tied (TCT) configuration for the SW and LW shades respectively
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
Get PDFDue to the rapid growth of the E-Commerce industry, the use of credit cards for online purchases has increased dramatically. In recent years, credit card fraud is becoming a major complication for banks as it has become very difficult for detecting fraud in the credit card system. To overcome this hardship Machine learning plays an eminent role in detecting the credit card fraud in the transactions. Modeling prior credit card transactions with data from ones that turned out to be fraudulent is part of the Card Fraud Detection Problem. In Machine learning the machine is trained at first to predict the output so, to predict the various bank transactions various machine learning algorithms are used. The SMOTE approach was employed to oversample the dataset because it was severely unbalanced. This paper the examines and overview the performance of K-nearest neighbors, Decision Tree, Logistic regression and Random forest, XGBoost for credit card fraud detection. The assignment is implemented in Python and uses five distinct machine learning classification techniques. The performance of the algorithm is evaluated by accuracy score, confusion matrix, f1-score, precision and recall score and auc-roc curve as well
Re-Visualizing Modest Fashion: Use of LED in changing Fashion Trends
Get PDFThe fashion industry is one of the biggest industries in the world and we are living in the” Insta- age” where new technological innovations have emerged into the fashion industry and affected the lifestyles of people today. New technology also termed an emerging technology is defined as innovation in any beneficial methods that offer critical improvement based on established machinery. Technologies like Artificial Intelligence, Magic mirrors, 3-D printing, and Virtual Reality, etc. have played major roles in reshaping the fashion market. Consumers are intertwined in the digital world, and designers embrace the latest innovations in their designs, manufacturing, and marketing. This paper explores the blend of traditional designs from the Gulf region, with inbuilt hi-tech and digital inclusions using LED (Light Emitting Diode). The objective of the paper is to retain the value of heritage and yet align with existing and future trends.