Authors: Md. Ziaul Haque Zim

Affiliation:

Abstract:
Research in Unmanned Surface Vehicles (USVs) and Autonomous Mobile Robots navigation has demonstrated some success in navigating flat indoor environments while avoiding obstacles. But in common resilience to unsafe conditions, unmanned surface vehicles (USVs) and autonomous mobile robots have wide applications in security reconnaissance, investigation of an obscure domain, and crisis reaction. Various examinations have been directed on the driving mechanism, motion planning, and trajectory tracking strategies for robots, yet restricted investigations have been led with respect to the obstacle detection and avoiding ability of robots. However, for little scale robots that contain sensitive surveillance sensors and can't afford to utilize heavy defensive shells, the nonappearance of obstacle avoidance solutions arrangements would leave the robot helpless before possibly risky hindrances. In this paper, we present an algorithm for obstacle detection and avoidance system has been developed for miniature Unmanned Surface Vehicles (USVs) and autonomous mobile robots. We show an investigation differentiating heading build rules and relative course directions dodging distinctive operators in multi-specialist conditions, estimating separation between the two robots. (See more)

Abstract:
In the medical system, it is crucial to hold patient past health records to give the correct treatment to the patient and ensure the medical practitioner's physical health safety. The ‘PatiCare’ patient healthcare monitoring system is a promising alternative to the conventional method of checking the human body and checking the patient health record. Despite the ongoing investigation, an outbreak of a pandemic disease called COVID-19 it creates a situation involving exposure to a danger to medical practitioners. In this paper, we implement a Patient Care Monitoring system called PatiCare to reduce viral diseases affection risk. We use IoT and WEB service for communication with users or patients and take his past health record and a doctor can check remotely to his patient. Our implemented prototype gathers biomedical and orientation information through sensors and re-serves it in a WEB Server. A doctor or a medical practitioner is able to assign medicine remotely and monitor patient instant health.

Abstract:
Humans and animals have a brain and nervous system, and they process information with neural networks. Trillions of neurons (nerve cells) exchanging brief electrical pulse called action potentials form neural networks. The endeavor of this paper aims to present the development of a neural network robot that mimics these biological structures to distinguish them from the squishy things in-side of animals. This robot is divided into hardware and OS (Operating System) part. In hardware, this robot has embedded systems that include an AVR microcontroller, L293D motor driver controller, OLED display, 4 LDR/Photoresistor, and DC gear motors. The AVR microcontroller working as the brain of this robot. This robot has an OS written in C programming language. This OS has a user interface that gives 3 options to select the operation mode. To train this robot a feed-forward backpropagation network is used. Some results about testing and validating the robotic system are presented and discussed.

Abstract:
The field of electric power distribution is still in its infancy, and state of the art solutions from modern technology is not easily adapted. IoT and AI could also be bringing a wind of change, but hitherto in large amounts of electrical power users and distributors hooked in to humans is to see the vitality meter and abandoning the bills to the claimant of that home monthly. Most defects of this infrastructure are that human reliance to filter the meter of every house and abandoning the bills. So ever, further bill amounts or notice from power distributors after paying bills are basic blunders. To defeat this kind of inaccuracy this paper considers the creation of a smart energy meter device. Considering power consumption, cost efficiency, speed, and importance on the performance we used ESP8266 based nodeMCU and AVR microcontroller based Arduino development board. The task of nodeMCU gives notification and shows current pursuing with costs through the online page. In this exploration, we complete the accuracy of meter perusing with the help of an LCD that shows which prone to KWh, voltage, current and power factor perusing. The main convenience of this system doesn't lose any data caused by power interrupt, where others AVR based system fails to save the delivery data before turning off the power.

Abstract:
Big pipelines and sewerage systems make our daily life easier and give us portability. But a long use of this system is facing problems. Identifying those problems is not easy because this system spreads like tree roots in a city or country. Problems like detecting pipeline leakage, sewerage damage, or sewerage jam are not that much easy. In this study, we present a pipeline inspection robot design and implementation to overcome this type of problems. Our developed model has the size and shape to go through the pipeline. This robot has the ability to pass through L-shaped, S-shaped, T-shaped angels with full control by its design and the controlling power. Inspection robots had the limitations of overcoming L and T shapes, and the proposed model will solve the previous limitations. Another big drawback of the previous robots was it had to carry on an optical fiber along with it to communicate but we use long-range wireless communication.