Notice of Violation of IEEE Publication Principles: Development of a Programmable System on Chip(Psoc) based Quadcopter

Bg, Alakananda; N, Venugopal

doi:10.1109/icoei48184.2020.9143059

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) 2020

DOI: 10.1109/icoei48184.2020.9143059

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Notice of Violation of IEEE Publication Principles: Development of a Programmable System on Chip(Psoc) based Quadcopter

Alakananda Bg

Venugopal N

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Cited by 2 publications

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A Study of Programmable System on Chip (PSoC) Technology for Engineering Education

Adi

Kitagawa

Sihombing

et al. 2021

J. Phys.: Conf. Ser.

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This paper obtain the introducing of Programmable System on Chip (PSoC) technology for Engineering Education, consisting of 2 types of PSoC, i.e, CyPress Semiconductor CY8CKIT-049-42xx, and PSoC 6 Bluetooth Low Energy (BLE), in this paper it focuses on learning at the level basic and introduction to these 2 types of PSoC. moreover, Learning consists of introducing the PSoC input-output with a block diagram of a typical MCU, PSoC Creator features, installation, and testing using Light Emitting Diode (LED). It is hoped that students in the engineering field can understand PSoC as one of the competing microcontrollers of the Arduino or ATmega328p, therefore, that obtains the gain knowledge about the MCU extensively.

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A Study of Programmable System on Chip (PSoC) Technology for Engineering Education

Adi

Kitagawa

Sihombing

et al. 2021

J. Phys.: Conf. Ser.

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Fast and Accurate Approximation Methods for Trigonometric and Arctangent Calculations for Low-Performance Computers

Kusaka¹,

Tanaka

2022

Electronics

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In modern computers, complicated signal processing is highly optimized with the use of compilers and high-speed processing using floating-point units (FPUs); therefore, programmers have little opportunity to care about each process. However, a highly accurate approximation can be processed in a small number of computation cycles, which may be useful when embedded in a field-programmable gate array (FPGA) or micro controller unit (MCU), or when performing many large-scale operations on a graphics processing unit (GPU). It is necessary to devise algorithms to obtain the desired calculated values without an accelerator or compiler assistance. The residual correction method (RCM) developed here can produce simple and accurate approximations of certain nonlinear functions with minimal multiply–add operations. In this study, we designed an algorithm for the approximate computation of trigonometric and inverse trigonometric functions, which are nonlinear elementary functions, to achieve their fast and accurate computation. A fast first approximation and a more accurate second approximation of each function were created using RCM with a less than 0.001 error using multiply–add operations only. This achievement is particularly useful for MCUs, which have a low power consumption but limited computational power, and the proposed approximations are candidate algorithms that can be used to stabilize the attitude control of robots and drones, which require real-time processing.

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Notice of Violation of IEEE Publication Principles: Development of a Programmable System on Chip(Psoc) based Quadcopter

Cited by 2 publications

References 6 publications

A Study of Programmable System on Chip (PSoC) Technology for Engineering Education

A Study of Programmable System on Chip (PSoC) Technology for Engineering Education

Fast and Accurate Approximation Methods for Trigonometric and Arctangent Calculations for Low-Performance Computers

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