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Control of Objects from a remote distance became an important factor for mankind about decades ago. Since then there has been a tremendous amount of improvements in the field of remote control. Once the \"Internet of Things(IoT)\" had been introduced, remote control technology across various applications has also opted for this method of data transmission from device to device over the internet. Through this work, a new way of controlling a robotic arm that can mimic/repeat human hand gestures and operate in a remote location through the use of loT technology is proposed. The robotic arm design involves generative designing for weight reduction over a five end-effector model for cost and weight reduction purposes, also for the cause of hand gesture recognition a Neural Network has been trained and implemented behind an application that has been completely programmed in python. As compared to traditional methods of controlling a robotic arm the proposed method provides better cost efficiency, data transmission, data collection, and accessibility due to the abundant availability of computers, and adaptability towards the growing technology.

The system is novel approach to combine wireless power transmission system (WPT) and automated guided vehicle (AGV). The wireless power transfer for charging the mobile robot is implemented using inductive coupling method. The system setup consists of transmitter coils whose switching action is controlled through transistors, receiver coil connected to full ridge rectifier and mobile robot. The track consists of number of transmitter coil which transmits power in form of electromagnetic waves. The receivers in the robot, which receives these waves and converts it back to electric power to charge the battery. The robot tracks its target destination based on the user command from the smart phone through Bluetooth. Very few theoretical researches are available on this field. A prototype was developed and tested based on the researches. The system achieves good range but falls short in efficiency to charge a battery, charging of battery takes longer time than regular charging time. Further research and extensive exploration can bring this technology from theory to practice.

Waste management is a massive issue in India, most of the present systems cannot manage waste on a scalable level, thus creating pressure on the ecosystem. Before the elimination of waste, segregation needs to be done to manage individual types of waste. Hence taken the same approach to solving the problem, which most of the present-day systems fail to do. The goal is to segregate the garbage generated in individual households into solid, liquid, biodegradable, non-biodegradable, combustible, and non-combustible, using many subsystems that involve electro pneumatics, compression, and storage. Image processing techniques will further advocate the process. The desired system will further reduce the waste of an in-built pulverizer. After conducting in-depth research on the present solutions for the urban waste processing chain, the level of complexity increases as the waste goes further along the chain and, in the end, the only option left is incineration was figured out. The solution allows endpoints of the chain to process different types of garbage in a more organized fashion. Municipal solid waste (MSW) is solid waste that results from municipal community, commercial, institutional, and recreational activities. This paper aims to segregate the MSW generated by households into biodegradable, non-biodegradable, combustible, and non-combustible.

Extracting text from an image and reproducing them can often be a laborious task. We took it upon ourselves to solve the problem. Our work is aimed at designing a robot which can perceive an image shown to it and reproduce it on any given area as directed. It does so by first taking an input image and performing image processing operations on the image to improve its readability. Then the text in the image is recognized by the program. Points for each letter are taken, then inverse kinematics is done for each point with MATLAB/Simulink and the angles in which the servo motors should be moved are found out and stored in the Arduino. Using these angles, the control algorithm is generated in the Arduino and the letters are drawn.

Abstract Background: Effective delivery of inhaled drugs in chronic obstructive pulmonary disease (COPD) depends on patients' ability to correctly use an inhalation device. Nebulized delivery may be appropriate for COPD patients who cannot coordinate breath with inhalation or generate adequate inhalational force. Until recently, long-acting muscarinic antagonists (LAMAs), used for maintenance treatment of COPD, were available for delivery only via handheld inhalers. Lonhala™ Magnair™ (glycopyrrolate inhalation solution) is a LAMA delivered via the eFlow® closed-system (eFlow CS) vibrating membrane nebulizer. We assessed patient-reported ease of use and satisfaction with the eFlow CS nebulizer in the GOLDEN (Glycopyrrolate for Obstructive Lung Disease via Electronic Nebulizer)-5 study. Methods: GOLDEN-5, a phase 3, randomized, open-label trial, evaluated the safety and efficacy of glycopyrrolate/eFlow CS 50 μg twice daily versus tiotropium 18 μg once daily (administered via HandiHaler™) in patients with moderate-to-very severe COPD. Only patients in the glycopyrrolate/eFlow CS group completed a study-specific device use questionnaire, evaluating patients' perceptions about ease of use, confidence in drug delivery, and overall device satisfaction at week 48 or end of study. Responses were summarized by counts and percentages. Results: Of 620 patients who received glycopyrrolate/eFlow CS, 454 completed the questionnaire (mean age [standard deviation, SD] 63.3 [8.5] years; mean BMI [SD] 28.45 [6.208] kg/m2). Based on patient-reported perceptions, most patients (83%) were “confident” to “very confident” that the drug was delivered into their lungs with the eFlow CS; >70% rated the eFlow CS as “easy” or “very easy” to assemble, operate, and clean. Most (75%) patients ranked themselves as being “satisfied” or “very satisfied” overall with the eFlow CS nebulizer. Conclusions: High levels of satisfaction, confidence, and ease of use were reported with the eFlow CS nebulizer in this study. These findings support the use of the eFlow CS for maintenance treatment of COPD with glycopyrrolate inhalation solution.