Skip to main content

Popular posts from this blog

▷ USRP USB Software-Defined Radio Platform

➡️  #USRP #SoftwareDefinedRadio #28GHz #DFRobot About this item RF Specifications: Channels: 1 TX, 1 RX; Frequency range: 70 MHz to 6 GHz; Instantaneous Bandwidth: Up to 56 MHz; IIP3 (at typical NF): -20 dBm; Power Output: >10 dBm; Receive Noise Figure: <8 dB Conversion Performance and Clocks: ADC Sample Rate (Max.): 61.44 MS/s; ADC Resolution: 12 bits; DAC Sample Rate (Max.): 61.44 MS/s; DAC Resolution: 12 bits; Host Sample Rate (16b): 61.44 MS/s; Frequency Accuracy: +/-2.0 ppm Environment: Operating Temp. Range: 0 - 45 °C USRP; Hardware Driver 3.9.2 (or later); GNU Radio Synchronization: 10 MHz clock reference; PPS time reference Power: USB Power 5V Product Description The USRP B205mini-i is a flexible and compact platform that is ideal for both hobbyist and OEM applications. It is designed by Ettus Research and provides a wide frequency range (70 MHz to 6 GHz) and a user-programmable, industrial-grade Xilinx Spartan-6 XC6SLX150 FPGA. The RF front end uses the Analog Device...

▷ Data visualization: of Temperature, Humidity, and CPU Temp.

  For this post, two sensors have been deployed for real-time data collection, currently operational in the city of Guayaquil: one for humidity and another for temperature. Both sensors utilize LoRA technology to transmit collected information to a Gateway. This Gateway serves as a central connection point, receiving data from the sensors and forwarding it to the Google Cloud platform via LTE cellular connectivity. Leaflet viewer with OpenStreetMap Leaflet viewer with OpenStreetMap Once the data is stored on the Google Cloud platform, a customized web interface has been developed. This interface facilitates the visualization and analysis of the sensor-collected data, offering users a clear and easily accessible representation. In this post, we'll explore how to visualize real-time data from Google Cloud using JavaScript and the powerful charting library, Chart.js. The goal is to create an interactive environment that visually...

▷ The Importance of Energy Consumption Prediction in Data Centers

➡️  #EnergyConsumption #EnergyPrediction #DataCenter In the digital age, data centers are a key piece of the technological infrastructure that drives the global economy. From managing large databases to cloud services, these centers consume large amounts of energy, making it crucial to have a good energy consumption prediction. Here we will explain why it is important to have a good energy consumption prediction in data centers. ➡️ Reducing Costs Energy consumption in data centers can be a significant cost for companies. Therefore, it is important to have a good energy consumption prediction to be able to plan and control costs efficiently. A good energy consumption prediction will allow companies to allocate budgets and plan appropriately, which will help reduce long-term costs. ➡️ Reducing Environmental Impact In addition to costs, data centers also have a significant impact on the environment. Generating energy for data centers often involves burning fossil fuels, contribut...