Academic literature on the topic 'Netduino'

AbstrakSeiring perkembangan teknologi banyak metode pengukuran arus, tegangan serta faktor daya yang dikembangkan. Pada penelitian ini dilakukan inovasi pengembangan sistem instrumentasi yaitu alat ukur daya listrik yang dapat diakses secara online sehingga informasi jumlah penggunaan daya listrik dan jumlah tagihan dapat diakses melalui website. Sistem ini dirancang menggunakan Netduino Plus berbasis ARM SAM7X, sensor ACS712 5A sebagai sensor arus dan juga menggunakan modul pengukur tegangan yang digunakan untuk mendeteksi tegangan dengan prinsip penyearah arus dan rangkaian pembagi tegangan. Mekanisme perhitungan penggunaan listriknya dilakukan dengan mengakumulasi daya yang dihitung setiap detik. Purwarupa alat ukur daya listrik ini berhasil dibuat dengan baik dan diketahui bahwa sensor arus pada sistem ini memiliki presentase keakuratan sebesar 98,4%, pada modul pengukur tegangan memiliki presentase keakuratan sebesar 96,6%. Kata kunci— Alat Ukur Daya Listrik, Netduino Plus, ethernet, website AbstractAlong with the development of technology a lot of methods of current, voltage and power factor measurement are developed. In this research is developing innovative instrumentation systems that use electrical power measuring devices that can be accessed online so that information on the number of power consumption and the amount of the bill can be accessed through the website . This system was designed using the Netduino Plus, ACS712 5A as sensor for detecting current and also use voltage gauges module that is used to detect the voltage with using the principle of current rectifier with a voltage divider circuit . The mechanism of usage electricity accumulation which is calculated for every second. Prototypes of electric power measuring instrument is successfully made and it is known that the current sensor system has the percentage accuracy of 98.4 %, the voltage measuring module has a percentage accuracy of 96.6 % . Keywords— Power Measurement , Netduino Plus , ethernet , website

Green house is generally a building of small or large structures. The structure of the green house is made of walls and the translucent roof, with the capability of maintaining the planned climatic condition. It ensures the growth of plants that requires a specified level of soil moisture, sunlight, humidity and temperature. The green house systems available are human monitored systems that entail the continuous human visit causing distress to the worker and also decrease in the yield if the temperature and the humidity are not properly and regularly maintained. This paves way for the concept of the green house automation. The green house automation formed by the incorporation of the Internet of things and the embedded system addresses the problem faced in the green house and provides with the automated controlling and monitoring of the green house environment replacing the undeviating administration of the farmers. This paper also proposes the automation using internet of things in green house environment by using the Netduino 3 and employing the sensors for the sensing the moisture, temperature, sunlight and humidity, to enhance the production rate and minimize the discomfort caused to the farmers.

This paper presents the use of IOIO and Android devices in mechatronics design projects. Mobile devices such as smartphone and tablets become very popular gadgets for the consumers in recent years. There is a need for these mobile devices to communicate with other peripherals and embedded systems through the use of microcontroller (MCU) to further extend their use. Some current MCU architectures such as ARM9, Renasas RX, Intel8051, Atmel microchip, PIC32, 68HC12, NI Single-Board Rio, Arduino, Netduino, and BASIC Stamp are known not work very well with these mobile devices. The latest hi-tech low-cost IOIO MCU, however, has demonstrated excellent capability to control peripheral devices or embedded systems via Android compatible mobile devices (smartphones or tablets) through a custom-made Android application. The IOIO provides robust connectivity to Android devices via a USB or a Bluetooth connection. It contains a single MCU that acts as a USB host and interprets commands from an Android application. Additionally, it can interact with peripheral devices in the same way as most MCUs. In other words, it provides an awesome computing power with an internet/bluetooth connectivity, a touch screen, and can interface with a variety of sensors through Android devices. This increases the IOIOs ability to easily add peripheral devices to interact with the outside world of mechatronics design projects.

Savvy social orders have an expanding interest for quality-arranged administrations and framework in an Industrial Internet of Things (IIoT) worldview. Savvy urbanization faces various difficulties. Among them, made sure about vitality Demand Side Management (DSM) is of specific concern. The IIoT renders the mechanical frameworks to malware, digital assaults, and other security chances. The IIoT with the mixture of Big Data investigation can give effective answers for such difficulties. This paper proposes a made sure about and trusted multi-layered DSM motor for a shrewd social society utilizing IIoT-based Big Data examination. The proposed motor uses an incorporated way to deal with accomplish ideal DSM over a Home Area Network (HAN). To upgrade the security of this motor, a payload-based confirmation conspire is used that depends on a lightweight handshake component. Our proposed strategy uses the lightweight highlights of Constrained Application Protocol (CoAP) to encourage the customers in observing different assets dwelling over the worker in a vitality productive way. Likewise, information streams are handled utilizing Big Data examination with MapReduce equal preparing. The proposed confirmation approach is assessed utilizing NetDuino Plus 2 loads up that yield a lower association overhead, memory utilization, reaction time and a vigorous safeguard against different vindictive assaults.

The aim of this work was to create a self-localization unit. The basis of the unit is an electronic platform Netduino Plus, which is connected with a measurement unit MTi-G and a camera based sensor, which is able to detect the position of points on the schools testing polygon. Configuration of the measurement unit MTi-G was done by a modified previously developed program. The program of the platform uses lover level communication with the sensor without using predefined classes from the manufacturer. This should improve the speed of processing the data from the sensor. To check the accuracy of the position provided by the self-localization unit another program was created. This program receives messages form a more accurate localization system that is mounted to the robot. The localization system is based on Trimble DB982 receiving modules.