Journal of Science & Technology (JST)
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Synthesis and Characterization of Faujasite Type Zeolite From Fly Ash by Hydrothermal Treatment
Get PDF: In many countries, thermal power stations are releasing huge quantities of Fly ash leads more environmental issues, while disposing. Various efforts have been conducted by researchers to arrive at some alternatives, that are able to significantly reduce high energy consumed and environmental impacts. The cleaner technologies in concrete production, such as substituting relatively high percentage of cement by fly ash, the use of other natural pozzolans, development of concrete with recycling or waste materials, This paper deals with the extraction of useful Faujasite type Zeolite, from fly ash, collected at Tuticorin Thermal Power Station, by hydrothermal treatment and also discussed the applications of Zeolite. The product formed is insoluble in water and Mineral acids. This is characterized by XRD, FT-IR, and Solid state 27Al NMR. ________________________________________________
Implementation of Fuzzy Logic Controller For BLDC To Control Indirect Flux and Torque
Get PDFIn the present scenario, utilization of BLDC drives are increasing rapidly, as a result of more efficiency, more power density, normal to control and great inertia torque ratio. This rag proposes a concept of sensorless control of drive using Fuzzy based DTC system. An indirect flux control proposed in this rag is similar to the direct torque controller for controlling of BLDC motor by the reference signals from the direct axis currents. A fuzzy regulator also proposed in this rag for better controlling of brushless DC drive. Simulink/Matlab is used to test the proposed DTC-Fuzzy based BLDC drive
Performance Comparison of Convolutional Neural Network-based model using Gradient Descent Optimization algorithms for the Classification of Low Quality Underwater Images
Get PDFUnderwater imagery and analysis plays a major role in fisheries management and fisheries science helping developing efficient and automated tools for cumbersome tasks such as fish species identification, stock assessment and abundance estimation. Majority of the existing tools for analysis still leverage conventional statistical algorithms and handcrafted image processing techniques which demand human interventions and are inefficient and prone to human errors. Computer vision based automated algorithms need a better generalisation capability and should be made efficient to address the ambiguities present in the underwater scenarios, and can be achieved through learning based algorithms based on artificial neural networks. This paper research about utilising the Convolutional Neural Network (CNN) based models for under water image classification for fish species identification. This paper also analyses and evaluates the performance of the proposed CNN models with different optimizers such as the Stochastic Gradient Descent (SGD),Adagrad, RMSprop, Adadelta, Adam and Nadam on classifying ten classes of images from the Fish4Knowledge(F4K) database
Smart Health Monitoring and Management Using Internet of Things, Artificial Intelligence with Cloud Based Processing
Get PDFSmart health monitoring system is a system that shortens the distance between a patient and the relevant medical organization. These systems have rapidly evolved during the past two decades and have the potential to change the way health cases are currently delivered. The Internet of Things (IoT) is an innovation for smart health management. It provides monitoring patients remotely and guarantees giving patients the medication and getting complete health care without the latter getting infected. As we know that the NovelCorona-virus also known as covid-19 expanded its impacts from China and still expands its catchment, national as well as international measures are being taken to contain the outbreak such as the placing of lockdown in nations. As a result, many people are being infected making the hospital incapable of providing proper healthcare. This paper proposes a smart health system that monitors the patients holding the coronavirus remotely and to protect the lives of the health service members (like physicians, nurses) from infection. This smart system observes patients by using sensors, to gather rich information every minute seconds. This benefits the patient as well as the service members because the physicians can observe the patient while freeing up beds in the hospitals for the critical cases
Development of an IoT-Based QR Code Access Control and Payment System using Arduino and ESP8266
Get PDFIn this research, we present the development and implementation of an IoT-based access control and payment system utilizing QR code technology, Arduino microcontroller, and ESP8266 Wi-Fi module. The system is designed to enhance security and streamline payment processes in various applications such as parking lots, public transport, and restricted access areas. The core components include an ESP camera for QR code scanning, a Liquid Crystal Display (LCD) for user feedback, and a pair of motors to control physical barriers. Upon scanning a QR code, the system verifies its validity and either grants access or denies it based on pre-set criteria. For valid QR codes, the system deducts a specified amount from the user’s balance, displays the updated balance on the LCD, and operates the motors to allow entry. Invalid QR codes trigger an audio alert via a buzzer. The system communicates transaction data to a remote server using the ESP8266 module, ensuring real-time logging and monitoring. The project highlights the integration of hardware components with software modules to achieve a robust and efficient access control solution. By leveraging IoT technologies, the system offers improved security, real-time data processing, and automated transaction handling. This research contributes to the field of IoT-based automation by demonstrating a practical application in access management and payment systems, providing a scalable and versatile solution for modern access control challenges
DEVELOPMENT AND CHARACTERIZATION OF EXQUISITE PASSION FRUIT
Get PDFCarbonated water is water containing dissolved carbon dioxide gas, either artificially injected under pressure. soda contain added or dissolved minerals such as potassium bicarbonate, sodium bicarbonate, sodium citrate. Carbonated water does not appear to have an effect on gastroesophageal reflux disease and improves satiety or feeling of fullness that could be a benefit for people who constantly feel hungry. In this study nutritious passion fruit is used as flavouring and it is a tropical fruit that grows on vines belonging to the genus Passiflora. The pulp is typically bright yellow or orange, with a gelatinous texture. Its flavour is an exquisite blend of sweet and tart. Provides key nutrients Rich in antioxidants, Good source of Fiber, Low glycaemic index, Improve insulin sensitivity Boosts the immune system, Supports heart health, Reduce anxiety. This study to develop the Flavoured carbonated soda from passion fruit nectar in different concentration (10%, 15 %,20%) along with granulated sugar, water, citric acid, carbon dioxide etc.
In vitro antagonistic activity of Plant Growth Promoting Rhizobacterial (PGPR) isolates against mulberry charcoal rot pathogen, Macrophomina phaseolina
Get PDFThe charcoal rot caused by Macrophomina phaseolina is the most virulent soil-borne disease in mulberry. Due to the issues of pollution, disparity in soil ecosystem along with possible risks to silkworms, the natural control method known as a promising technique for the management of root diseases. The objective of this study was to evaluate the antifungal efficacy of Plant Growth Promoting Rhizobacteria (PGPR) isolates against M. phaseolina. The charcoal rot causing pathogen, M. phaseolina was isolated from infected mulberry roots and its morphological and microscopical characters were observed. A total of 10 PGPR isolates were purified from healthy mulberry rhizosphere soil and identified isolates were belonging to the genera of Bacillus. The antifungal activity showed that BSSY9 isolate showed maximum growth inhibition of 58.5 % followed by BSKP3 isolate with 54.07%. Hence, this isolates could be useful in developing an eco-friendly root rot management practices
SMART CROP PROTECTION SYSTEM USING DEEP LEARNING
Get PDFAgriterrorism with regard to animal damage greatly affects the crop yield for farmers, resultingto some of them recording large losses. Farm animals like buffaloes, cows, goats and birdstrespass in the fields trample the crops and this can only be destructive for farmers since theycannot constantly protect their shambas. Measures such as the use of barriers, wire fences, orpersonnel vigilance yield most of the time insufficient results. In addition to scarecrows, whichenemies can easily bypass with many animals, farmers also employ human effigies.To controlthese problems, we introduce an AI-based Scarecrow system using video processing in real-time for crop protection from wildlife. The system uses a camera to record videos and analyzesthem with YOLOv3, an object detection model together with OpenCV and the COCO namesdatabase. If any animal or bird is identified, then the system produces a sound alerting theanimal not to invade the compound. Moreover, if an animal has been sensed for more than oneminute consecutively, the system will alert the farmer sending him/her an e-mail and dialingthe farmer`s phone number. This approach thus provides an efficient and automated way ofprotecting crops than depending on deterrent measures
IOT and RTC based smart drug admin system
Get PDFThe main aim is to make a Smart medicine box for those users who regularly take medicines and the prescription of their medicine may be very long as it is hard to remember to patients. Also, Old age patients face problem to take pills on proper time which causes certain health issues for patients having Permanent diseases like diabetes, blood pressure, breathing problem, heart problems, cancer diseases, etc. We saw these problems in hospitals & people around us who have such kind of diseases and thus based on these two problems we made smart medicine box which solve these problems by Setting up time table of prescribed medicines as given in prescription. Therefore, at the time of taking medicine, the system generate buzzer and display the Bright light in certain pill boxes and pill box gets open. So, patient can know the specific number of boxes from which he has to take out medicines. All pill boxes are pre-loaded in the system which patient needs to take at given time. Thus, final result of our system provides fast curing of patient health by using our advantageous system. every time we will set the time, medicine description using IOT Telnet application from mobile phone. For every remanding interval of time respective voice alert will alert you. Every status of project is monitor in LCD using 16*2 modules. The proposed system is designed using ARDUINO microcontroller using Arduino IDE software. 5V regulated power supply used to control ARDUINO microcontroller
Road Condition Monitoring with Grading System
Get PDFIndia has the highest number of two-wheeler riders in the entire world. As Indians think that twowheelers are more convenient a lot of people use them for their daily activities. Delivery boys for a lot of companies also prefer to use a two-wheeler as it is more economically convenient. Along with this, people also use twowheelers for rushing to the workplace avoiding a lot of traffic. The majority of these people can be classified as young adults. A lot of people complain about back issues due to the bad road conditions that they face while travelling every day. Our system uses the sensor consisting of the accelerometer and the gyroscope to analyze the condition of the road and classify how bad the current condition of the road actually is. The system will not only classify the road as good or bad but also provide a rating to the road based on how severe the condition of the road actually is. The sensors will be calibrated according to a particular vehicle which will be beneficial for the rider. The system will also provide the best option of the road from travelling from point A to point B provided if there are multiple options available and the analysis of all the options has been done previously. Keywords: Machine Learning; Road Conditions; Impact Analysis _______________________________________________________