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Integrated Vehicle Safety System (IVSS)
Travelling is important and necessity for human life and now-a days it is turned to be as dangerous due to more number of road accidents. Integrated Vehicle Safety System (IVSS) prevents accidents and helps the driver to reduce the impact at emergency situation. It also limits and controls the speed of the vehicle in specific zones to avoid accidents in low speed areas. A vehicle emission control unit is also integrated to reduce the emission produced by motor vehicles especially internal combustion engines.
Underground Cable Fault Detection
The growth of the electrical system grid has resulted in extensive use of underground cables. Due to subsurface environment, decline and rodents, underground cables are at risk of a wide range of problems. It is challenging to locate the root of the problem because the entire line must be dug up to inspect the cable line for problems. Only that section needs to be dug up to find the source of the defect because the repairmen are aware exactly which part is at fault. As a result, it helps to service subterranean cable lines more quickly and saves a lot of time and money. The aim of this venture is to calculate the underground cable fault's KM distance from the base station.
Preventing Data Threats using Cloud Computing with Block Chain Technology
Cloud services are susceptible to attacks because they're extensively available. In Cloud computing, a fairly new service that falls under the marquee of cloud services, data manipulation poses a significant trouble to data integrity. Cloud computing in a variety of operation disciplines want to be certain that the data they use is dependable and accurate. On the other end of the diapason, block chain is a digital tally that cannot be altered. It can be combined with Cloud technology to produce a secure Cloud computing terrain. For all homomorphic encryption styles, this paper proposes a system that combines block chain and cloud computing to guarantee data integrity. The proposed plan uses the intricate Fault Tolerance agreement to construct a distributed network of processing CSPs for ultimate authority over the data. After specific computations performed by all CSPs, they produce an expert hash an incitement for their information base. Master hash values are saved in Bit coin or Ethereum block chain networks to guarantee the product of inflexible data. The expert hash values can be gotten by following the block title address for check purposes. We discovered that Ethereum outperforms Bit coin in terms of online performance and lower customer fiscal costs. Also, we describe the proposed scheme's data security conditions, ground- position perpetration, and planned work.
Design of Temperature Based Automatic Fan Speed Controller Using Arudino
This paper is an independent automatic fan speed controller that uses an electronic circuit made out of an Arduino board to control the speed of an electric fan in accordance with the requirements. This closed-loop applications feedback-control system is effective and reliable due to the use of embedded technology. Since the Arduino board is one of the most innovative controller circuits, we used it to regulate the speed of the fans. The proposed framework is designed to ascertain the room's temperature and transmit that information to the Arduino board. At that time, the Arduino board runs a built-in programme that calculates the difference between the current temperature and the target temperature.
IoT Based Air Pollution Monitoring System
This paper proposes an IOT based air pollution monitoring system that utilizes a multitude of sensors to measure air pollution levels and provide real-time data to users. Specifically, a gas sensor, dust sensor, humidity sensor, sound sensor, temperature sensor, Arduino controller, and LCD are used to measure and display the various levels of air pollution. Furthermore, the system is powered by the IOT, allowing for the data to be streamed online, providing users with a better understanding of their local air pollution levels. This system can be used to inform users of the air quality in their area and help them take necessary steps to protect themselves from the dangers of air pollution.
Smart IoT Based Water Distribution System
A major issue on the planet is water waste management. There are many different kinds of water monitoring systems, but they all require manual operation. The proposed system is arduino was used in this system's design, which enables controlled water release from the pipe automatically through mobile application. Real time status and the controlling of motor and the distributing valve by anywhere in the world connected through internet. In urban areas, most people live in flats, apartments where they need to get water from the corporation and then they bought to supply for each flat and apartments. Supplying water in normal ways consist of a greater number of technical problems and is difficult to access on a regular basis. In this project, we have built a working prototype to solve these problems. Our model contains one Main water tank. Each node (Solenoid Valve) can function automatically based on the microcontroller operation or for other problems and we will get real time information on smart phone via Wi-Fi. In this project we will be using ESP8266 as microcontroller.
An Advanced Facial Emotional Recognition Using HAAR Cascade Algorithm in Machine Learning
Interpersonal relationships rely heavily on facial expression-based nonverbal cues. A typical part of human-machine points of interaction is the programmed acknowledgment of looks; It could also be used in behavioral science and clinical practice. Despite the fact that people see facial expressions almost immediately, machine expression recognition still faces challenges. From the point of view of automatic recognition, a facial expression can be thought of as changes in the pigmentation of the face or disfigurements of the facial parts and their spatial relationships. Automatic facial expression recognition research focuses on the issues surrounding the representation and arrangement of static or dynamic qualities of these distortions or face pigmentation.
Experimental Analysis of Solar Dryer for Crops
This paper presents the plan and improvement of a sun-based power dryer used to eliminate the dampness content from natural products, vegetables, fish, and other rural things includes sun drying, which utilizes energy that is both free and sustainable. The moisture content, motor speed and heat chamber temperature are all monitored and controlled with the help of an Arduino Uno and the appropriate sensors. The agricultural products are distributed evenly across the conveyer belts, which are then subjected to heated air to extract the moisture from them. To ensure that agricultural products maintain the required moisture content, the conveyer belts speed is accordingly adjusted. Utilization of the sun dryer cycle will bring about ruining during evening. The proposed sun powered drying frameworks; in which items are dried in a shut framework with a more prominent inside temperature are improvements over sun drying. The model of the framework is created and controlled utilizing sun based photovoltaic energy produced from the 10W sun powered charger. It proposes that the public authority ought to help in the strategy and increment utilization of the sunlight based drying gear.
Research on Text Summarization Techniques Based on Deep Learning-WS-Attention
The bonafide semantic understanding of human language text, exhibited by its effective summarization, may well be the holy grail of natural language processing (NLP). That statement isn't as hyperbolic as it sounds: as true human language understanding definitely is the holy grail of NLP, and genuine effective summarization of said human language would necessarily entail true understanding, transitivity would back me up on this. However, the show must go on, and there currently exist an array of actual techniques for summarizing text, some of which stretch back decades. These techniques take different approaches to reach the same goal, and can be classified into a fairly narrow set of categories for pursuing their shared goal.
Artificial Intelligence Based MPPT Techniques of Photo Voltaic System
In this paper, Particle Swarm Optimisation (PSO) investigates the global optimal solution by taking advantage of the memory of the particle and the swarm. PSO has evolved into one of the most significant Swam Intelligence techniques and Evolutionary Computation algorithms due to its characteristics of low constraint on the continuity of goal function and joint of search space, and capacity to adapt to dynamic environments. The development of algorithms over the years is then discussed, along with applications in multi-objective optimisation, neural networks, electronics, etc. The remaining issues and potential prospects for PSO research are then examined. One of the concepts of swarm intelligence introduced in the field of computing and artificial intelligence is particle swarm optimisation (PSO). PSO is a novel collective and distributed intelligent paradigm for problem solving, primarily in the field of optimisation, without centralized control or the provision of a global model. In this work, the basic PSO, its improvements, its applications to various systems, including electric power systems, and its premature convergence as well as its combination with other intelligent algorithms to enhance search capacity and shorten the time required to exit local optimums are all thoroughly reviewed.
Detecting Spammers on Social Networks
Social media is an online platform, one person can make social relations with the other persons easily via social platform (Facebook, twitter, LinkedIn).Nowadays in social media platform peoples are sharing their personal information’s, habits, carrier interest, activities to their friends. Various information is propagating through online social networks including both the positive and negative. Online information sharing is becoming ubiquitous every day. In this paper, naïve Bayes algorithm is used to detect the wrong information for example the online rumors, and it is also used to work out the distinguish and predictive problems. And Naïve Bayes algorithm is also used for text classification, spam filtering, hybrid recommender system and collaborative filtering.
Hybrid Energy Based Wireless Charging In Electric Vehicle
A Wireless Power Transfer (WPT) system should be visible with the proper ground clearance of the electric car in order to enable wireless charging of electric automobiles. Eliminating the use of wires cable jammed by connecting the electric cars and charger is the next step in contemporary charging procedure regularisation to make the charging process easier. An EV charging system is combined with solar and conventional electricity to make the hybrid. Without the need for interconnections, electricity is delivered from a source to an electrical load. The mutual inductance theory was in use. This system deals with a hybrid solar and AC power source, a converter, a gearbox coil, a receiving coil, and an electric load powered by batteries a receiving coil, a hybrid solar and AC power source, and n coil.
E-Commerce Product Management System
The online “E-commerce website” services department to provide solutions to develop the shopkeeper. The project entitled “E-COMMERCE PRODUCT MANAGEMENT SYSTEM” designed by using React js and Node js. To help reduce the pressure and time. It’s helpful to the local shopkeeper. Easily to add the product and modify the product by vendor. Admin will analyze the product whether it is standard or substandard. If the product is substandard admin have the rights to takeout the product from the list. Admin have the power to enable or disable the product. User can buy the product what they want to search the product in a search list bar. Vendor will maintain the order based on accept and reject. To implement a “SOCKET” functions in the website. “CRED” operations to be performed. To implement a payment gateway also. To referred a Razorpay payment gateway. Product Management system is a website for all operating system it’s designed to help users maintain and organize the shop virtually. The various products to buy the members make users possible to get the product easily.
Smart Syringe Infusion Pump
Delivery of fluids such as nutrients and medications into a patient’s body in a controlled environment is one of the essential prerequisites of a treatment that requires precise flow control. In manual liquid drug delivery systems, fluctuations may occur while operating by a nurse or hospital staff. At present, syringe pumps are used worldwide for healthcare purpose as well as research purpose. Syringe pump is a small infusion pump used for controlled administration of small amounts of drugs or medications to a patient or for use in chemical, biomedical research, etc. With the advancement of communication technology specially internet of things (IoT), there is an opportunity for syringe pumps to be integrated with IoT. This project presents an integration of semi-automated syringe pump with IOT for real time monitoring and remote control of fluid flow.
Experimental Research on Bubble Technology – Experimental Behaviour of Concrete by Partial Replacement of Fine Aggregate Using Tiles Powder
The important part of a concrete is the aggregate present in the concrete. It makes up almost 75%of the volume of the concrete. It plays an important role in the deciding the physical and chemical properties of the concrete. In this present paper, an attempt has been, made to partially replace the fine aggregate in various percentages with the tiles powder in concrete making. Hence tiles powder is used as a partial replacement for fine aggregate in concrete construction. The final result will reduce the usage of M-sand as fine aggregate in construction techniques. The tiles powder is added proportion of 5%, 10%, 20%, 30%, and 40% instead of M-sand in M20 concrete mix. The concrete mix ratio is found out and the study materials are mixed. These are then cast into cubes, cylinders and taken out and cured for 7, 14 and 28 days each. And additional added for coconut coir in1%of weight of cement.
Analysis and Design of Disease with Real Time Tracking System
The World Health Organization has classified the Covid-19 corona virus outbreak as a global pandemic. Lockdown and awareness (social distance, wearing of masks, etc.) among individuals are found to be the only ways to stop the community spread of this disease given the worrisome increase in affected cases around the world. Without widespread public awareness and proactive actions taken by the populace, it is exceedingly challenging to stop the communal transmission even during a lockdown in a highly populated nation like India. Recently, numerous containment zones across the nation were found and separated into red, orange, and green zones, respectively. The user can receive an alarm system from this programme if they search for or track any location, say they do so in an area that has been infected by the COVID-19 virus. The development of an Java to alert users to the Covid-19 containment zones and deter trespassing there is the primary topic of this article. The positions of the places on a map that are designated as containment zones are updated by this web application. The application also alerts users to the online database if they enter a containment zone. Therefore, this application can be utilized as a tool to raise social awareness of the growing need for people to take preventative action.
An Experimental Study on fiber Reinforced Hybrid Concrete
In this project modified hybrid concrete- a novel construction material is manufactured with fibers (steel fibers, polypropylene fibers) and silica fume by drilling through the cement and mortar in order to develop a high strength concrete. The main purpose is to develop a concrete with improved physical and mechanical properties. Experiments to study the mechanical properties of the hybrid concrete were carried out. The present study aims at producing the concrete specimen by reinforcing constant level of fibers (steel fibers of 0.7%, and polypropylene fibers of 0.3%) with the different percentage (5%, 10%, 15% and 20%) of silica fume and then comparing it with normal and fiber reinforced concrete. Different tests were carried out on the hybrid concrete specimen like compressive strength test, flexural strength test, and durability tests on normal concrete. The result obtained from the above tests were supreme than the normal concrete, the hybrid concrete exhibits series of cracks while loading and also has higher flexural and compressive strength than the normal concrete.
Traffic Violation Prediction Using Deep Learning
Smart transportation infrastructure is needed and technology is now ready to help us. Artificial intelligence (especially deep learning) can help improve the performance of existing systems in many ways. The ability to effectively identify and classify tools is critical to the success of an intelligent machine. This device can play an important role in helping us travel in a country like India where there are many people but limited space. We present an advanced framework for detecting cyclists ignoring helmet rules using deep convolutional neural networks (CNNs). The system includes motorcycle, detection, helmet and no helmet, classification and calculation using the YOLO algorithm. Convolutional Neural Network with Sequential CNN model is used in the license control process. The CNN classification model proposes to classify the permission in the image and extract the user's content. Then calculate the penalty. Finally, make an SMS service that sends reminders to users to avoid motorcycle accidents and pay within a week. Automatically block accounts and send notifications if user doesn't pay. Finally, the administrator updates the user's license after receiving the penalty. We measure the accuracy and speed of the frame.
IoT Application on Secure Smart Shopping System
The IoT based smart trolley is designed using Arduino. The system eliminates the unnecessary time at a queue. In shopping mall shopping is a daily activity in metro cities. User will have to various products and keep them into the trolley & will have to go to the counter for bill payment of all the products. By using barcode reader, the cashier will make the bill at the billing counter. To make a system that can be used to solve the difficulties of customer and save the valuable time of users is the main aim of this project. In the shopping mall all the goods will have beset with RFID tags. When a user will keep the products in the trolley, the code and the weight & the name of product will be detected and the total amount of those products will be saved in system memory, the name of product and total amount is shown on server and it will be sent to cashier counter by wirelesses ESP modules. It would reduce the rush at shopping mall & save the unnecessary time at billing counter. Automatic billing is done through the RFID tag.
A Study on Evaluation of Temperature Stresses in Fiber Reinforced Concrete Slab
Temperature is an important parameter which affects the design and performance of both flexible and rigid pavements. Temperature variations within the rigid pavement structure induces many distresses. Knowledge of temperature effects is essential for the design and maintenance requirement. The temperature differential depends mainly on the thickness of slab and the grade of concrete.