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  Subjects -> ELECTRONICS (Total: 207 journals)
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Research & Reviews : Journal of Embedded System & Applications
Number of Followers: 7  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 2321-8533
Published by STM Journals Homepage  [67 journals]
  • Electric Vehicles in India: Green Sustainable Energy Environment
           Challenges and Opportunities

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      Authors: Nayan Kusare; Saloni Desai
      Abstract: The increasing depletion and pollution of natural resources have led to a growing need for products that are renewable and environmentally sustainable. One such development is electric automobiles. Electric vehicles are the replacement for petroleum-based cars. These are the source of the emerging technology in addition to being green and viable. The substitution of internal combustion engines with electric-powered counterparts holds the potential to significantly decrease pollution and prove beneficial for consumers. Many countries around the world have adopted this initiative, actively participating in efforts to enhance the environment. In this research paper, researchers contribute towards the opportunities and challenged confronted in India over imposing electric vehicles. This is done through survey conducted for better understanding of people’s perspective regarding the electric vehicle, its benefits and limitations. The questions are centered around analyzing the global demand for electric vehicles.
      PubDate: Thu, 11 Jan 2024 09:18:45 +000
       
  • Minimising Round Road Trip Using Automated Traffic Navigation System

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      Authors: Shreyas Girish Chitnis; Anushka Vitthal Kadu, Maithilee Bharat Shinde, Swaraj Dilip Zavare, Abhaysinh Bhosale
      Abstract: The concept of traffic navigation without the reliance on conventional traffic signals is gaining prominence. This novel approach seeks to enhance urban vehicular movement by obviating the need for traditional signal systems. This summary delves into the multifaceted realm of signal-free traffic navigation, encompassing cutting-edge technologies like artificial intelligence, machine learning, and sensor arrays. The advantages, including congestion reduction, heightened fuel efficiency, and enhanced traffic fluidity, are expounded upon. Moreover, the abstract acknowledges hurdles such as ensuring safety, managing intersections, and orchestrating vehicular trajectories. The call for additional research and advancement in this domain is underscored, as it holds the potential to usher in a paradigm shift in urban mobility.
      PubDate: Sat, 30 Dec 2023 00:00:00 +000
       
  • Automated Liquid Filling and Mixing using Visual Studio

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      Authors: Karthik S; Nithyashree S, Nithyashree S.
      Abstract: The automated liquid mixing and filling project is designed to simplify the process of color mixing and filling by using RGB to produce multiple shades of color. It is controlled through a mobile application, where the user inputs the desired percentages of red, green, and blue. The input is then sent to a controller, which regulates the pump of all three containers of RGB for a specified amount of time. The mixture is then mixed using an automated mixing system until the desired shade is achieved. This project is user-friendly, efficient, and adaptable to various applications such as in the cosmetics or paint industries.
      PubDate: Thu, 21 Dec 2023 06:05:53 +000
       
  • Physical Activity based Vehicle Control Using ESP32

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      Authors: Arjun P. Katwa, Ayush Agarwal, Sharath Kumar Y. N; Kaustubh Kishore Jha, Harsh Detha
      Abstract: This paper introduces an optimized and reliable project that is Move-Buddy, a device that encourages physical movement in children. This is a way of engaging children in a game which causes them to move their body in different positions (for example, wave their arms and move their legs) for the device to move forward, backward, left and right according to the action performed by the child. The device uses multiple sensors placed on a pair of gloves/sleeves and knee-braces which detect the movement of the hands and legs. According to the detected movement the robot-car starts moving. Various parameters are detected such as change in position of limbs and speed of the movement of the limbs which causes different types of movement of the car such as forward, backward, left and right. The velocity of the robotic vehicle is influenced by the speed at which its limbs move. This is done by speed control of the used dc motors. The car is connected to the sensors on the limbs over Bluetooth. This describes the mechanism by which sensors transmit signals to the microcontroller within the car. Using these readings, the microcontroller makes the necessary calculations and makes the motors move. When the car needs to move left, the speed of the right motor increases and the speed of the left motor decreases. Similarly, when the car needs to move right the speed of the left motor increases and the speed of the right motor decreases. Depending on the input received, the car can move backwards as well. Once the limbs become stationary in the calibrated position, the car stops moving.
      PubDate: Thu, 21 Dec 2023 06:04:23 +000
       
  • IoT Based Driver's Doziness Detection

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      Authors: Manish Mokal; Aaman Sayyad, Anushka Patil, Rutuksha Kedari, Charusheela Pandit
      Abstract: This time, a couple of lakh injuries have happened because of numerous elements, together with terrible using, brushing off protection, motive force fatigue, and so forth. According to the statistics, driver indolence reasons 40% of injuries. IoT and era can assist us decrease the quantity of accidents. To resolve this trouble, a machine for the motive force's doziness detection is furnished in this have a look at. This device uses a system learning algorithm to usually monitor the driver's eye moves and activates a buzzer if any signs and symptoms of doziness are visible on the driver's face. Right here, a small safety digicam with a snap function is applied to examine the driving force's face and check his eyes for symptoms of drowsiness. The sensor for alcohol will hit upon the inebriated driver and sound an alarm to prevent him from operating a car. This generation can decrease visitor’s accidents and improve delivery protection.
      PubDate: Tue, 05 Dec 2023 11:45:17 +000
       
 
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  Subjects -> ELECTRONICS (Total: 207 journals)
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