learn bench india

                                                         Power electronic interface with its effective control scheme plays a major role in the utilization of energy sources for electric vehicle application. For this purpose, a hybrid fuzzy PI based control scheme for a multiple input converter (MIC) topology is proposed. The proposed hybrid fuzzy PI controller includes a conventional PI controller at steady state and fuzzy PI at transient state. Also, the proposed control design helps in tracking a predefined speed profile to have complete realization of electric vehicle. Detailed simulation study and performance comparisons with conventional controller are performed. The results show that the developed control scheme is robust providing bidirectional power management, fast tracking capability with less steady state error, better dynamic response by enhancing the flexibility and proper utilization of energy sources. Simulation in MATLAB/SIMULINK environment is carried out to verify th

                                                   In modern days, a tremendous amount of data is being generated online every day. However, an unprecedented amount of the data flooded on the Internet is fake news, which is generated to attract the audience, to influence beliefs and decisions of people, to increase the revenue generated by clicking, and to affect major events such as political elections. Readers are misguided by deliberately spreading false information. Obtaining and spreading information through social media platforms has become extremely trouble-free, which makes it difficult and nontrivial to detect based merely on the content of news.                   

                                                                                                                      

                                  The study proposes an automated deep learning-based classification model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate for COVID-19. The training dataset consists of 3616 COVID-19 chest X-ray images and 10,192 healthy chest X-ray images which were then augmented. Initially using the dataset, the symptoms of COVID-19 were detected by employing eleven existing CNN models. MobileNetV2 showed enough promise to make it a candidate for further modification. The resulting model produced the highest accuracy of 98% in classifying COVID-19 and healthy chest X-rays among all the implemented CNN models. The results suggest that the proposed method can efficiently identify the symptoms of infection from chest X-ray images better than existing methods.

                                                Chest X-ray images play a crucial role in pneumonia diagnosis, with deep transfer learning being a widely adopted method for pneumonia detection. However, effectively handling feature data extracted from deep models without succumbing to the challenges of feature dimensionality remains a formidable task. In response to this complex issue, we propose a novel two-stage deep feature selection (FS) method utilizing the voting differential evolution (VDE) algorithm. In this approach, a dimension adaptive search strategy is meticulously devised to ensure robust feature selection while concurrently reducing the dimension. To expedite the optimization process, we devise a CR adaptive adjustment method to enhance the efficiency of the algorithm

                                                                                             Considering the road transport data inclusive of traffic and accidents, the idea of automatic speed control is very crucial since it aims to provide maximum road safety as well as driving ease at traffic with the use of technology. In a world where everyone rushes till the nth hour, a system like this is mandatory, to automatically control the speed of any vehicle at smart zones like schools, hospitals, etc. This indeed envisions a future that is accident-free and stresses the importance of road safety and rules beyond human errors and false testimony approval. This project is designed in such a way that speed is regulated and confined at the marked smart zones with the help of the RF module. When the vehicle enters the smart zone, the speed would be automatically controlled with the help of IOT app. This happens automatically beyond manual control when the region is committed to that particula

                         This work proposes a new multilevel inverter topology composed of a PUC5 and an MPUC7 convert cascaded connected fed by only one dc power source by using a highfrequency link. This topology can provide 35-level voltage by using four asymmetrical dc-links, and only twelve power switches. The second dc-link operates as a floating capacitor, while the two smaller dc-links are supplied by the dc-source through a high-frequency transformer (HFT) rated at 7.6% of the total load power when operating at nominal voltage. A self-balance sensor-less strategy is integrated into the switching control and is used to control the voltage of the floating capacitor while the HFT balances two dc-links providing the required power flow. A Nearest Level Control (NLC) and an analysis of power distribution among each dc-link are presented in detail. Besides, comparisons with other multilevel topologies using HFT are carried out. Experimental results are presented to validate the pr

                                                    The aim of our project is to design and fabricate a pneumatically operated drilling device. With this device a number of operations can be performed. They are as follows: 1.          Drilling 2.          Reaming 3.          Boring 4.          Grinding 5.          Screw driving           This device is operated by compressed air. A high pressure compressed air is forced on a fan and the fan is made to rotate. This rotation is transmitted to the machining head by a shaft and the required operation is carried out.           Further if a hole is to be drilled in a part in an automobile, the particular part is to be dismantled from the vehicle. By using this pneumatically operated device holes can be drilled in the required part with one dismantling it from the vehicle.

Fraud and malware detection are fundamental for maintaining the security and integrity of the Google Play ecosystem. Search rank fraud involves tactics like fake downloads, reviews, and keyword manipulation that artificially inflate an app’s ranking, undermining user trust and creating an unfair marketplace. Google Play addresses this issue through automated detection systems, behavioral analysis, and manual reviews, applying penalties to fraudulent apps to ensure rankings reflect genuine user interest and app quality. On the other hand, malware detection focuses on identifying harmful apps designed to damage devices or steal sensitive information.                                                                                            

                                                        Attendance is considered as the action or state of going regularly to or being present at a place or event. Attendance system is being used in every organization around the globe The manual attendance record system is inefficient and more time consuming . Hence a system is needed which will solve the flaws which often occurs in manual attendance Face recognition is among the most productive image processing applications and has a pivotal role in the technical field. The development of this system is aimed to accomplish digitization of the traditional system of taking attendance  and maintaining pen-paper records.

face recognition has received substantial attention from researchers in biometrics, pattern recognition, and computer vision communities. The machine learning and computer graphics communities are also increasingly involved in face recognition. This common interest among researchers working in diverse fields is motivated by our remarkable ability to recognize people and the fact that human activity is a primary concern both in everyday life and in cyberspace. Besides, there are a large number of commercial, security, and forensic applications requiring the use of face recognition technologies. These applications include automated crowd surveillance, access control, mugshot identification (e.g., for issuing driver licenses), face reconstruction, design of human computer interface (HCI), multimedia communication (e.g., generation of synthetic faces) and content-based image database management. A number of commercial face recognition systems have been deployed, such as Cognitec, Eyematic, V

                                                                                                                                                            The abstract of this project is to provide clean and hygienic toilets or washrooms. Clean and hygiene toilets would reduce infections and risk of illness caused to human beings.This project “Smart washroom “ is developed to provide automatic flush , automatic toilet lid opener and automatic air fragrance sprayer. Automatic flush would conserve water and automatic air fragrance sprayer would maintain hygiene. This project incorporates ultrasonic sensor, infrared sensor, three servo motors which are controlled and processed by Arduino Nano controller.These sensor values are sensed and w hen ultrasonic sensor detects a person, the toilet lid would be opened automatically and infrared sensor detects toilet occupancy and when there is no occupancy, automatic flush and automatic air fragrance sprayer would be turned ON.

                                                             Electrical linemen play a crucial role in maintaining and repairing power distribution systems. Nowadays, electrical accidents to the line man are increasing, while repairing the electrical lines due to the lack of communication between the electrical substation and maintenance staff. The password-based circuit breaker system is designed to provide an additional layer of protection by restricting unauthorized access to electrical circuits.This project incorporates a 4*3 keypad panel equipped with a password input mechanism and a ESP 32 microcontroller-based circuit breaker unit. The linemen must enter a valid password on the keypad to activate or deactivate the circuit breaker. If the password is valid, the relay would be switched ON while when the password is invalid , buzzer would be alarmed and an alert message is displayed on LCD.

                         Feeling sleepy while driving could cause hazardous traffic accident. However, when driving alone on highway or driving over a long period of time, drivers are inclined to feel bored and sleepy, or even fall asleep. Nowadays most of the products of driver anti-sleep detection sold in the market are simply earphone making intermittent noises, which is quite annoying and inefficient. As such, there is a high demand for cheap and efficient driver sleep detection. Therefore, we came up with an idea and successfully developed a sleepy detection and alarming system, which could effectively meet this demand.

                                                                           As electric vehicles (EVs) gain popularity, the demand for innovative charging solutions has risen. Traditional charging methods often present challenges related to downtime and infrastructure limitations. Wireless charging systems offer a promising alternative by allowing for dynamic charging without the need for physical connections. This project focuses on developing a wireless charging mechanism for a four-wheel-drive robot, simulating potential applications in real-world vehicles. Utilizing an Arduino Uno microcontroller for control and monitoring, the project showcases how wireless technology can be effectively employed to enhance the mobility and efficiency of electric-powered systems.

                             We offer latest technology  and Best Arduino project center in chennai for ECE department students in hands-on training for very low price with well project explanation.         Final year projects in Chennai  for students pursuing  B.E, B.Tech, M.E, M.tech, MCA, Bsc & Msc . We help students in completing the project with detailed explanation on Project development. Training will be provided on each and every module by our highly skilled project development team with faculties