The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

Seeed Studio XIAO ESP32C6 is powered by the highly-integrated ESP32-C6 SoC, built on two 32-bit RISC-V processors, with a high-performance (HP) processor with running up to 160 MHz, and a low-power (LP) 32-bit RISC-V processor, which can be clocked up to 20 MHz. There are 512KB SRAM and 4 MB Flash on the chip, allowing for more programming space, and binging more possibilities to the IoT control scenarios.

This project is a reference project for ESP32-S3-MINI-1 to develop your IoT ideas. The board has RGB LEDs, USB C for firmware, EN and BOOT buttons, and 2 IO connectors for development #IoT #WiFi #MCU #RF #ESP32 #project #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference project for ESP32-S3-WROOM-1 to develop your IoT ideas. The board has 3 LEDs, USB C for firmware, EN and BOOT buttons, and 2 IO connectors for development #IoT #WiFi #MCU #RF #ESP32 #project #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference project for ESP32-S3-WROOM-1 to develop your IoT ideas. The board has 3 LEDs, USB C for firmware, EN and BOOT buttons, and 2 IO connectors for development #IoT #WiFi #MCU #RF #ESP32 #project #referenceDesign #simple-embedded #espressif #template #reference-design

A low-power, single-core Wi-Fi high-performance microcontroller SoC with a rich set of IO capabilities. #esp32 #wifi #low-power

nRF52840 part of Boron development kit from Particle io.

100 W, 7–55 MHz Broadband Class‑AB RF Power Amplifier for Yaesu FT‑818 with 50 Ω I/O, 13.8 V/15 A Supply, Relay T/R Switching, PTT/ALC Interface, Selectable 5th‑Order Chebyshev LPF Bank, and Overtemperature‑Controlled Fan Support

A low-power, single-core Wi-Fi high-performance microcontroller SoC with a rich set of IO capabilities. #esp32 #wifi #low-power

como puedo corregir este codigo para que funcione en flux.io import time import random import matplotlib.pyplot as plt import io import base64 from fluxio import Flow flow = Flow() @flow.task def linear_search(arr, target): for i in range(len(arr)): if arr[i] == target: return i return -1 @flow.task def binary_search(arr, target): low = 0 high = len(arr) - 1 while low <= high: mid = (low + high) // 2 if arr[mid] == target: return mid elif arr[mid] < target: low = mid + 1 else: high = mid - 1 return -1 @flow.task def measure_time(func, arr, target): start_time = time.time() func(arr, target) end_time = time.time() return end_time - start_time @flow.task def generate_data_and_measure(): sizes = [100, 1000, 5000, 10000, 50000, 100000] linear_times = [] binary_times = [] for size in sizes: arr = random.sample(range(size * 2), size) target = random.choice(arr) sorted_arr = sorted(arr) linear_time = measure_time(linear_search, arr, target) binary_time = measure_time(binary_search, sorted_arr, target) linear_times.append(linear_time) binary_times.append(binary_time) return sizes, linear_times, binary_times @flow.task def plot_results(sizes, linear_times, binary_times): plt.plot(sizes, linear_times, label='Búsqueda Lineal') plt.plot(sizes, binary_times, label='Búsqueda Binaria') plt.xlabel('Tamaño del Array') plt.ylabel('Tiempo de Ejecución (segundos)') plt.title('Análisis de Complejidad Temporal') plt.legend() plt.grid(True) buf = io.BytesIO() plt.savefig(buf, format='png') buf.seek(0) img_str = base64.b64encode(buf.read()).decode('utf-8') plt.close() return img_str @flow.task def main(): sizes, linear_times, binary_times = generate_data_and_measure() img_str = plot_results(sizes, linear_times, binary_times) return img_str if __name__ == "__main__": flow.run(main)

Arduino Electrical Control Shield -Redundant Temp. Sense -Geometric Monitoring -Dual RS232 Communication -USB Communication -Dual Motor Control -5 24V Control Relays -15 10V Analog IO -22 24V Protected IO

Ruggedized battery-powered PeakNode 1 LoRa PWAN node with SX1262 LoRa mesh over SPI, LTE Cat-M1/NB-IoT modem, GNSS, LPCNet-capable audio path, USB-C charging and LiFePO4 power management. Targets a 4-layer 90 mm x 60 mm IPC Class 2 layout with 3.3 V main and 1.8 V I/O rails, dual SMA antennas, two RGB status LEDs, three tactile buttons, low-leakage power architecture for sub-10 uA sleep, and defined RF keep-out zones under the LoRa and LTE antenna regions.

Objetivo: leer coordenadas X/Y en un panel resistivo casero con Arduino Nano. Componentes: Arduino Nano, 16 MHz, 5 V (1x) MCP23017, expansor I/O I²C de 16 pines (1x) ADS1115, ADC I²C 16 bits (1x) Panel táctil casero, 2 láminas aluminio (1x) Resistencias serie 4.7 kΩ – 10 kΩ (4x) Fuente 5 V (USB/external) Funcionamiento: MCP23017 controla X+/X-/Y+/Y- → aplica 5 V y GND al eje activo. Ejemplo: para leer X → MCP energiza X+/X-, deja Y flotante. ADS1115 mide voltaje en el eje sin energía (ej: Y+/Y-) en modo diferencial. Arduino Nano recibe lecturas por I²C, procesa coordenadas X/Y. Coordenadas enviadas por USB serial al PC. Conexiones: Arduino Nano ↔ I²C bus ↔ MCP23017 y ADS1115 (SDA, SCL en común). MCP23017 pines → X+/X-/Y+/Y- (con resistencias serie). ADS1115 entradas analógicas → eje libre (Y+/Y- o X+/X- según ciclo). Alimentación común: 5 V + GND.

Handheld computing carrier board for a salvaged CPU module using a 100-pin mezzanine socket, with preserved 2S battery charging, balancing, and service-friendly edge I/O.

ESP32-S3-PLC For Home and Small Industry, include 8 12V SSR to control DC and AC Current, 8 isolated I/O and a ESP32 as a brain with a USB C to upload the code and the connectivity advantages of the ES32 like WIFI and Bluetooth.

This is the project template for the Raspberry Pi Pico 2, the latest addition and update to Pi Pico line up. Raspberry pi pico 2 is equipped with the RP2350, a cutting-edge, high-performance microcontroller designed with enhanced security and versatility in mind. Every element of its design has been upgraded, from the advanced CPU cores to the innovative PIO (Programmable I/O) interfacing subsystem. The Raspberry Pi Foundation has integrated a robust security architecture centered around Arm TrustZone for Cortex-M, ensuring data protection and integrity. Additionally, new low-power states and expanded package options broaden the range of applications, making the Pico 2 an ideal choice for diverse, power-sensitive projects. To learn more about what's the key differences between the original Pi Pico and the new Pi Pico 2, read our blog https://www.flux.ai/p/blog/whats-new-in-the-raspberry-pi-pico-2-a-showdown-with-the-original-raspberry-pi-pico #project-template #template #raspberry #pi #pico2 #newpico

Specially designed for IoT ESP-WROOM-32E-based main controller board with dual-core chips. #ESP32 #ESP32WROOM #RF #WIFI #MCU

Industrial Welding IoT Controller — schematic and placement preserved; PCB routing cleanup still required before manufacturing.

This project is a IoT templates for an RP2350A MCU from Raspberry Pi Pico 2 Development board #RaspberryPi #Raspberry #Pi #RPi #Pico2 #internetOfThings #referenceDesign #project #MCU #simpleEmbedded #polygon

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Brave is a versatile and efficient power board that can provide 12v, 5v and 3.3v outputs for various applications. It can be powered by battery or solar panel, and the battery can be recharged by solar energy. It can also be powered by a USB port if needed. This board is ideal for IoT projects that require reliable and stable power supply in different environments. #IoT #power #management #usb