This article is about programming C/C++ language with Arduino Nano, Arduino Uno,LGT8F328P [NANO F328P-C], ET-BASE AVR EASY32U4 or other boards and platforms that use C language to store temperature/humidity data from the DHT11 sensor (Figure 1) with a dual linked list data structure. The basics of memory reservation, access, memory deallocation can be read in the previous article (Singly Linked List).
This article is about programming C/C++ language with Arduino Nano, Arduino Uno,LGT8F328P [NANO F328P-C] and ET-BASE AVR EASY32U4 (Figure 1) or other boards and platforms using C language for learning to code another type of data structure management program that has different storage and management methods, called BST or Binary Search Tree, as in Figure 2, which is a structure that can be applied to collecting data with attributes in which the data on the left node is less than current node and the right node is greater than current node or the opposite, the left node is greater and the right noe is less. Thus, searching for data in the event that the tree is balanced both left and right on the BST structure saves time or number of searches per round by half of available data, for example, there are 100 data sets in the first round, if the current node is not what you’re looking for it, the choice left is to find from the left or right node. This selection causes the data of the other side to be ignored or cut it in half approximately but if the Binary Search Tree is unbalanced, the search speed will not be much different from the Sequential Search.
The previous article discussed how to improve the display speed by using the double buffer technique. It is applied for the analog clock display as shown in Figure 1. We used Trigonometric calculations to determine the coordinates (x,y) of the tips of the seconds, minutes and hours. Each second operation uses a timer to make the operation closer to real-time than the Loop or Delay.
In the previous article, programming to implement queue-based data structures was introduced. In this article, we introduce programming to manage another type of data structure which has different storage and management methods called BST tree or Binary Search Tree, as shown in Figure 1, which is a structure that can be applied to data collection with attributes in which the data in the left branch is less than itself and the right branch is greater than itself or the opposite, i.e. the left branch has a greater value and the right branch is less. It enables searching for data in cases where the tree is balanced on the left and right in the BST structure, saving half the time or number of search times per round of available data, e.g. 100 data sets in the first round if it is not the information you are looking for will be left with a choice to find from the left or right branches which the selection causes the information of the other side is not considered or cut off approximately half. However, if the Binary Search Tree is out of balance, the search speed is not much different from the sequential search.
In this article, we use Python that works on either a Python 3 or MicroPython interpreter to store the data, adding information ,searching for information as an example of further development.
This article discusses the previously recommended compiling (build) and use of MicroPython for esp32-C3 microcontrollers. The procedure is the same as for compiling for esp32-s2. In addition, we have solved the issue of RS232-to-USB from the board using CH340 to external pin using CP2102 instead and connecting the display module with OLED as Figure 1.
We have been using the esp8266, especially the esp-01 and esp-01s modules, to manage the sensor network for quite some time and with the limitation in terms of the number of pins used, the system must be designed to work with STM32F103C8T6 or STM32F401CCU6/STM32F411CEU6. To ensure stable operation, no problems with the esp8266’s WDT were encountered, and over time, espressif released several other microcontrollers such as esp32, esp32-s2, esp32-c3 and esp32-s3.
We have tested and used esp32 almost all the time until esp32-s2 with LILYGO board made us try to order it. The main problem is that the development tools are very late. However, as of now, espressif has released a development kit for Arduino or Arduino Core for ESP32 version 2.0 with support for esp32 esp32-s2 and esp32c3, making it work with ESP32 and ESP32-S2. We got the esp-c3-32s board so this article was born.
This article is compiled from the datasheet of ESP32-C3 WROOM-02, in this article we use the board as shown in Figure 1. The example program is to drive an RGB LED on the board to work by using Arduino Core for ESP32 and the improved ESP-IDF from the article in Ep. 3
From the previous ulab article, it was found that Micropython can implement the same dataset processing instructions as used in Numpy through the previous ulab library v.0.54.0 which is the older version of ulab (currently v.3.0.1) brought up this article. This article describes how to create a Micropython that integrates the ulab library and uses it with SPIRAM versions of esp32.
(Figure. 1 Module list of ulab)
ulab3
From Figure 1, it can be seen that the structure of the ulab library has changed from the original. This causes the programming from the previous example to have to be modified. Under ulab there are libraries of numpy and scipy. The details of numpy that are supported are as follows.
