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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 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 %..

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.

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In this paper, we introduce a testbed for testing the RF energy transfer technology in the Internet of Things (IoT) environment, and provide experimental results obtained by using the testbed. The IoT environment considered in this paper consists of a power beacon, which is able to wirelessly transfers energy via microwave, and multiple sensor nodes, which makes use of the energy received from the power beacon. We have implemented the testbed to experiment the RF energy transfer in such IoT environment. We have used off-the-shelf hardware components to build the testbed and have made the tesbed controlled by software so that various energy and data transmission protocol experiments can easily be conducted. We also provide experimental results and discuss the future research direction.

Ikan mas koki sangat populer dan diminati untuk dipajang di dalam kolam kaca atau akuarium karena ikan tersebut memiliki warna yang cantik dan menarik. Tetapi banyak pembudidaya ikan hias yang kesulitan dalam memaksimalkan hasil budidaya bahkan sampai menimbulkan kerugian yang cukup besar.  Pada saat ini para pembudidaya masih melakukan pemantauan dan mengontrol kolam secara langsung. Penelitian ini melakukan monitoring serta kontrol otomatis kadar keasaman (pH) dan suhu untuk perangkat yang dapat diakses secara online dengan menggunakan jaringan wifi supaya pengguna dapat dengan mudah untuk melakukan monitoring serta kontrol dari jarak jauh. Dengan monitoring air kolam ikan menggunakan sensor suhu DS18B20 dan Module 4502C dengan sensor pH electrode, untuk kontrol menggunakan 2 solenoid valve (asam dan basa), water heater dan  fan cooler. Monitoring dan kontrol pH dan suhu dilakukan menggunakan aplikasi Blynk dengan program ada pada ESP32 serta koneksi jaringan Wi-Fi sebagai penghubung. Hasil penelitian dengan Alat Sensor DS18B20 adalah 0,631% hampir tidak ada kesalahan karena penempatan sensor yang tepat dan berdampingan dengan suhu digital dan pada sensor diberikan resistor 4,7 kOhm sehingga teganggan yang masuk pada sensor DS18B20 menjadi stabil. Pengamatan pH Module 4502C 4,128% hal ini didaptkan suatu kesalahan karena memang teganggan yang masuk pada Module  4502C kurang stabil dikarenakan jalur jumper yang dilewati arus dari Module 4502C  mempengaruhi tegangan yang masuk ke sensor pH electrode. Pengamatan Water Heater dengan hasil suhu DS18B20 selama 5 menit 1,939°C dan suhu digital 1,950°C. pengamatan Fan Cooler dengan hasil suhu selama 10 menit 3,039°C dan suhu digital 3,097°C. Solenoid Valve asam dan basa hasil rata-rata dari keluaran Solenoid Valve selama 6 detik sama dengan 1mil air asam dan basa yang keluar dengan pengukuran pH Electrode yaitu  2,907 dan PH Digital yaitu 2,840.