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Communications
Published in Julio Sanchez, Maria P. Canton, Embedded Systems Circuits and Programming, 2017
Julio Sanchez, Maria P. Canton
In this chapter we focus on digital communications techniques used in PIC interfacing with I/O devices, integrated circuits, and other forms of programmable logic. Communications, in general, refer to the exchange of information following rules, sometimes called a protocol. Digital and computer communications come in two flavors: serial and parallel. Serial communications take place when the data is sent one bit at a time over the communications channel. In parallel communications all the bits that compose a single symbol or character are sent simultaneously.
Communications
Published in Julio Sanchez, Maria P. Canton, Microcontroller Programming, 2018
Julio Sanchez, Maria P. Canton
In this chapter we focus on digital communications techniques used in PIC interfacing with I/O devices, integrated circuits, and with other forms of programmable logic. Communications, in general, refers to the exchange of information following rules, sometimes called a protocol. Digital and computer communications come in two flavors: serial and parallel. Serial communications take place when the data is sent one bit at a time over the communications channel. In parallel communications all the bits that compose a single symbol or character are sent simultaneously.
Number Systems, Number Representations, and Codes
Published in Joseph Cavanagh, Digital Design and Verilog HDL Fundamentals, 2017
There are two basic types of serial communication: synchronous and asynchronous. In synchronous communication, information is transferred using a self-clocking scheme; that is, the clock is synchronized to the data, which determines the rate of transfer. Self-clocking is presented in detail in a later chapter. Alternatively, there may be a separate clock signal to determine the bit cell boundaries. Information is normally sent as blocks of data, not as individual bytes, and may contain error checking.
Multiple regression model for prediction of rock properties using acoustic frequency during core drilling operations
Published in Geomechanics and Geoengineering, 2020
Vijaya Kumar, Harsha Vardhan, Ch. S. N. Murthy
The sound pressure level was measured for all bit-rock combinations using the DAQ microphone by means of the LabVIEW software. For all sound pressure level measurements, the microphone was set aside at a distance of 1.5 cm from the outer edge of the drill bit diameter, as shown in Figure 2. The audio signals during drilling were recorded by the microphone to the computer, using the DAQ NIUSB-9234 (data acquisition module from national instrumentation) 24-bit ADC (analog to digital converter), which captured 51,200 samples within one second. The resolution of the response was maintained at 1 Hz by reading all the samples, which were obtained in one second. This module was connected to the system and the data were obtained using serial communication. Fast Fourier transformation (FFT) was analysed to obtain the resonant frequencies with their amplitude of sound pressure level.
Real Time Stability Analysis with Distributed Generation in Multi-fed RDN Using PMU and Feed Forward Technique
Published in Electric Power Components and Systems, 2020
Ayindrila Roy, Jitendranath Bera, Gautam Sarkar
The PMUs and SMs transmit data to the PC by serial communication @115.2 KBps. Each PMU transmits a data frame of 23 bytes (2-byte SYNC word, a 2-byte meter ID code, 4 bytes for time stamp, a 13-byte payload data and 2 bytes check sum) to the PC in 1.997 ms. The 13 byte data consists of values of voltage and angle (4 bytes), current and angle (4 bytes), delta (1 byte), active and reactive power (4 bytes) signals. Similarly, 18 bytes of data are transmitted to the PC by every SM where the 19 bytes contains 2-byte SYNC word, 2-byte SM ID code, 4-byte time stamp, 9-byte payload data and 2-byte CHECK SUM. The 9 byte data signal consists of current and angle (4 bytes), active and reactive power (4 bytes) and 1 byte to indicate import/export of power. This data is transmitted to the PC by serial communication in 1.65 ms.
Characterization of the fine hand movement in badminton by a smart glove
Published in Instrumentation Science & Technology, 2020
Xian Song, Yuxin Peng, Bingcheng Hu, Wenming Liu
The analysis of the complex and unpredictable hand movements requires a well-established system based on state of art technologies. As shown in Figure 1, the overall system in this paper is divided into three sections: the data acquisition module, the data processing module, and the data visualization module. In the data acquisition module, flex sensors and pressure sensors are employed to convert the status of the hand movement into a voltage signal as the angle and pressure measurements, respectively. The acquired data are subsequently sent to an Arduino platform data processing module for analog-to-digital conversion. Next, the converted data are transmitted to a personal computer (PC) through wireless serial communication. Lastly, the measurements are visualized in the PC via the computer graphing and finite element processes in order to generate illustrations for the flex status and the pressure distribution.