Asian Journal of Convergence in Technology
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Determining the Factors Associated with Knowledge and Practice Regarding Artificial Intelligence in Dentistry Among the Dental Professionals of North India
Get PDFHuman cognition has is an intriguing dimension for researchers and developers. To understand and map out this structure, a broader term has been coined. Artificial Intelligence is a branch term for all the developing systems, furnished with human intelligence. Even though Artificial Intelligence can be useful in field of dentistry and can be of help in dental office but is not used extensively. A gap exists in the knowledge regarding application of Artificial Intelligence in Dental offices. Therefore, the present study was carried to determine the factors associated with knowledge and perception regarding use of Artificial Intelligence in dentistry among the dental professionals
Performance Analysis of Fuel cell Powered Electric Vehicle Using MATLAB
Get PDFIn this research article, a proton exchange membrane fuel cell (PEMFC) is instrumented as an electrical generator that utilizes hydrogen gas as fuel and air as an oxidizing agent to perform photoelectricity through electrochemical reactions simulated in MATLAB-Simulink environment. Most of the model is based on specifications with direct real-world significance, with a focus of going beyond empirically reporting the features of the fuel cell. Further exploration manifested that the execution of the PEMFC depends on the air supply pressure and rate of fuel supply. The output voltage and current waveforms from the fuel cell stack and the lithium-ion battery’s efficiency and voltage waveforms are plotted as well. We also designed the powertrain systems required for a Fuel cell powered electric vehicle. The Fuel cell vehicle presented draws its power from the hydrogen powered fuel cell instead of relying on a separate battery. Electric Vehicle parameters such as speed and distance have also been plotted showing the efficiency and performance of the system. Obtained results under MATLAB/Simulink and some experimental ones are presented and discussed
Kisan Assistant (Crop Price Prediction)
Get PDFThe Kisan assistant and harvest value forecast web application help ranchers, for crops that can be developed, the reference yield for each yield and compost suggestion for crops in view of soil test tried. Optional and micronutrients needed for soil are proposed to the rancher, E-Agri shopping will assist the rancher with purchasing better items for farming. The day-by-day live cost of harvests and yield value forecast will help the rancher for better yield promoting. The yield value forecast will anticipate the yield cost for the following a year which will assist ranchers with realizing the harvest cost at the collecting time or selling time
Structure of Soil Moisture Sensing Electronic Irrigation System
Get PDFAppropriate environmental conditions are necessary for optimum plant growth, improved crop yields, and efficient use of water and other resources. Automating the data acquisition process of the soil condition allows plant growth with less labor requirement. This project on "Structure of Soil Moisture Sensing Electronic Irrigation system" is intended to create an automated irrigation mechanism that turns the pumping motor ON and OFF on detecting the moisture content of the earth. In the domain of farming, utilization of appropriate means of irrigation is significant. The benefit of employing these techniques is to decrease human interference and still make certain appropriate irrigation. The objective of this project is to design a simple, easy-to-install microcontroller-based circuit to monitor and record the values of soil moisture levels that are continuously modified and controlled to optimize them to achieve maximum plant growth and yield. This automated irrigation project brings into play an Arduino board ATmega328P microcontroller used is a low power, cost-efficient chip by ATMEL that is programmed to collect the input signal of changeable moisture circumstances of the earth via a moisture detecting system. An integrated Liquid crystal display (LCD) is also used for the real-time display of data acquired from the sensor and the status of the various devices. Also, the use of easily available components reduces manufacturing and maintenance costs. The design is quite flexible as the software can be changed at any time. It can thus be tailor-made to the specific requirements of the user This makes an efficient system for optimization of yield with minimum use of water. This system is also economical, portable, and user-friendly
Bidirectional buck boost converter with PI control for Electric Vehicle Application
Get PDFThis paper represents a PI control Bidirectional buck boost converter for electric vehicle application. Electric vehicle is known for the cleanliness and environment friendly. So, a source for electric vehicle source with highly efficient converter that can be used for less price as we know the fuel prices are very high so a less price source has been research in many papers. In this paper a converter is proposed that will supply the electric vehicle
An Assessment on Cardiovascular Disease Prediction and Diagnosis using Machine Learning Algorithms
Get PDFWe live in a postmodern era, and our everyday lives are undergoing significant changes that have a beneficial and negative impact on our health. As a result of these developments, the prevalence of numerous diseases has skyrocketed. The diagnosis of cardiovascular disease is the most challenging task in medicine. Cardiovascular disease diagnosis is complex because it relies on the grouping of enormous amounts of clinical and pathological data. As a result of this issue, there has been a substantial surge in interest among researchers and clinical experts in the efficient and precise prediction of cardiac disease. When it comes to heart disease, getting a proper diagnosis at an early stage is crucial because time is a crucial issue. Heart disease is the leading cause of mortality worldwide, and predicting heart disease at an early stage is crucial. In recent years, machine learning has emerged as one of the most progressive, dependable, and supporting tools in the medical arena, providing the most help for disease prediction with proper training and testing. This study work aims to present a survey of knowledge discovery strategies in databases employing data mining techniques that are already in use in medical research, specifically in Cardiovascular Disease Prediction
Improvement of Dynamic Performance in SEIG WECS by Using ANFIS Controller
Get PDFA new hybrid controller for the Self-Excited Induction Generator (SEIG) driven by the Wind Energy Conversion Scheme (WECS) was proposed in this paper. The dynamic stability of the control grid is essential for both user protection and system performance. There must be a full grasp of the effects of power system volatility to research and govern power systems. The suggested control systems were examined using frequency-domain approaches that focused on the nonlinear design of a device that is subjected to severe faults on a related bus, which was tested using time-domain strategies. In this paper, a novel 3-level inverter is designed and controlled by the ANFIS control for the Dynamic Response of the system at the load side. The ANFIS approach can be used to regulate a self-excited induction generator in this study. The design incorporates wind power to give on-grid electricity access. SEIGs are used to power wind turbines in this project, which generates alternating current (AC) for the grid. The system model uses a rotor reference frame and dynamic vector control for the machine reference model. Wind power voltage and active power are controlled by an ANFIS controller in the converter. The ANFIS controller's performance is evaluated in all abnormal scenarios, including the worst-case scenario. System modeling and simulation in Simulink-Matlab allow it to be used in SEIG configurations. Wind power system quality and stability are both improved by the ANFIS control unit, according to simulation results
Condition Monitoring and Vibration Signal measurement of of Rolling Contact Bearing
Get PDFIn this paper, an investigation of the condition observing of the roller contact bearing is introduced. Bearing example information comprises of four unique circumstances as having flawed internal race, deficient external race, having deserts on roller and a solid bearing. For the readiness of the example bearing, laser machine is utilized for presentation of the miniature size deserts on the surfaces. A startling disappointment of the moving contact bearing might cause huge monetary misfortunes. Therefore, shortcoming conclusion in bearing has been the subject of serious examination. Vibration signal examination has been broadly utilized in the shortcoming recognition of pivot apparatus. The vibration sign of a moving contact bearing conveys the mark of the shortcoming in the bearing, and early issue identification of the bearing is conceivable by examining the vibration signal utilizing different sign handling procedures. From that vibration estimation strategy is generally utilized in the business for condition checking of various hardware and it tends to have the option to identify 92% of deficiencies or disappointment in the machines by the adjustment of vibration signals. Consequently it is vital to comprehension of the vibration signals related with moving component orientation
EmpowerSoC: An Open-Source Power Analysis Engine based on Qflow
Get PDFThe paper introduces EmpowerSoC which is an open-source power analysis engine based on the Qflow tool chain. Both active and standby power consumption can be estimated using this tool. Qflow is used to run the RTL to GDSII flow a target design and is a silicon proven flow [1]. Power estimation in EmpowerSoC is done by extracting transistor-level post-layout netlists for various building blocks/cells on an automated basis. It has a user-friendly GUI through which users can set input bit patterns and other simulation parameters. It has been tested on various digital blocks and the obtained results have been presented
Comparative Analysis of Papr Using PTS and SLM Reduction Techniques for 5g Communication System
Get PDFEnables license the quantity of subcarriers, high data rate and high unearthly proficiency. One of the significant downside in OFDM is the high top to average power ratio(PAPR). High PAPR prompts power shortcoming and sign contortion with pragmatic power intensifiers utilized at the transmitter. As in 5G framework use of ability to be productive and creator attempted to analyze the methods utilized for diminishing PAPR are cutting, particular planning (SLM),interleaving and fractional send sequence(PTS). In SLM , it delivers various option send groupings from similar information source and afterward chooses the communicate signal showing the least PAPR where as in PTS , there are two different ways of lessening PAPR , either by isolating the first OFDM signal into various sub-blocks or by duplicating the first OFDM signal with various stage arrangements