A. Yudhana, Iqbal Cahya Kurniawan, Ikhwan Anshori, Ilham Mufandi
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引用次数: 0
Abstract
Abstract The error detection method is a system that determines errors in the data transmission process. One of the algorithms used to calculate this process is cyclic redundancy by sending binary data using mathematical analysis. The result of error detection found that a success rate of 65% and an error of 35%, it can be stated that the wireless communication process using module nRF24L01 has a high connection rate. Furthermore, connection loss can cause packet loss to the recipient during the communication process. This research was applied to assist disabled people with leg disabilities. These systems were equipped with nRF24L01 as transmitter and nRF24L01 as receiver. Both are installed Arduino Nano and Arduino Mega 2560. A controller smart glove tools are installed on an electric wheelchair as a support device with nRF24L01 module communication. This research was successfully implemented on the electric wheelchair.
错误检测方法是一种对数据传输过程中的错误进行检测的系统。用于计算该过程的算法之一是通过使用数学分析发送二进制数据的循环冗余。错误检测结果发现,成功率为65%,错误率为35%,可以说明采用nRF24L01模块的无线通信过程具有较高的连接率。此外,在通信过程中,连接丢失会导致接收方丢包。这项研究被应用于帮助有腿部残疾的残疾人。这些系统配备nRF24L01作为发射机,nRF24L01作为接收机。两者都安装了Arduino Nano和Arduino Mega 2560。控制器智能手套工具安装在电动轮椅上作为支撑装置,与nRF24L01模块通信。本研究在电动轮椅上成功实施。
期刊介绍:
nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity