Abstract-In this paper, we investigate a multi-node multiantenna wireless-powered sensor networks (WPSN) comprised of one power beacon and multiple sensor nodes. We have implemented a real-life multi-node multi-antenna WPSN testbed that operates in real time. We propose a beam-splitting beamforming technique that enables a power beacon to split microwave energy beams towards multiple nodes for simultaneous charging. We experimentally demonstrate that the beam-splitting beamforming technique achieves the Pareto optimality. For perpetual operation of the sensor nodes, we adopt an energy neutral control algorithm that keeps a sensor node alive by balancing the harvested and consumed power. The joint beam-splitting and energy neutral control algorithm is designed by means of the Lyapunov optimization technique. By experiments, we have shown that the proposed algorithm can successfully keep all sensor nodes alive by optimally splitting energy beams towards multiple sensor nodes.
The research proposes controlling DC motor angular speed using the Proportional Integral Derivative (PID) controller and hardware implementation using a microcontroller. The microcontroller device is Arduino Uno as data processing, the encoder sensor is to calculate the angular speed, and the motor driver is L298. Based on the hardware implementation, the proportional controller affects the rise time, overshoot, and steady-state error. The integral controller affects overshoot and undershoot. The derivative controller affects overshoot insignificantly. The best parameter PID is Kp=1, Ki=0.3, and Kd=0.1 with system response characteristic without overshoot and undershoot. Using various set point values, the controller can make the DC motor reach the reference signal. Thus, the PID controller can control, handle, and stabilize the DC motor system.
A highway visual tracking system using UAV based digital image. This highway tracking system created by using computer vision. The methods used in this system are the RGB-HSV conversion, colour detection, edge detection, thresholding, dilation canny edge detection, Hough transform, and moments. Prior to image processing, capture video of the highway. In image processing, highways video is prepared to enter image preprocessing, then administer the thresholding and dilation process. This was followed by the method of moments to get the coordinates of the first phase tracking. Next, the X-coordinate is used as a reference to determine the region of interest (ROI). ROI is processed using the Canny edge detection followed hough transform to refine the detected lines into the desired line. Coordinates x line average can be computed which then shows the position of the highway. The programs used in the process of road tracking are using OpenCV 2.3.1 and Visual Studio 2010. The programming language used is C++. Tests carried out using video of highway taken directly from Youtube. The highway HSV colour values are in the range of 20, 3, 30-180, 32.169 and the environment around the highway consists of green vegetation, terrain, office buildings, houses, and trade stalls. The materials that affect the outcome of visual tracking are the presence of a vehicle on the highway and other objects that exist around the highway.
The development of the world of transportation in Indonesia is growing very rapidly, especially in the field of land transportation. This can be seen from the number of motorized vehicles, both cars, and motorcycles in Indonesia, which continues to increase from year to year. According to data from Badan Pusat Statistik (BPS), the number of motorized vehicles reached 126,508,776 units, the data increased 5.9 percent from the previous year 2017 wherein that year the number of motorized vehicles was 118,922,708 units. The problem that still often occurs for land transportation infrastructure is that there are still many damaged roads such as potholes, so prevention is needed by recording road damage data such as the depth of holes during manual recording, so in this study, we discuss how to measure these holes using ultrasonic sensors. integrated with GPS data to record the location of potholes. The result is that the measurement error using ultrasonic is 4.9 %. Meanwhile, for the results of testing the GPS data, the error in latitude data is 0.00061 %, the data for longitude error is 0.00004 %..
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.