Many users who analyze data, develop and verify algorithms, or create software applications leave the MATLAB environment to import data from external hardware. This extra step creates inefficiencies by forcing the user to manually transfer data from one environment to another and to learn and maintain multiple software tools.Using a Garmin handheld Global Positioning System (GPS) receiver with an RS-232 serial interface as an example, this article demonstrates how you can use MATLAB and to work with diverse external devices without leaving the MATLAB environment. It explains how to communicate with a serial device, interact with the device in MATLAB, and automatically generate a MATLAB script that can be shared, reused, or incorporated into a MATLAB application.The MATLAB scripts used in this article are available for. RS-232 serial devices, such as GPS receivers, and instruments, such as oscilloscopes and signal generators, can be configured and controlled in MATLAB with Instrument Control Toolbox (Figure 1). Our example uses a consumer-grade Garmin ETrex 12-channel GPS device, typically used while hiking and boating.
The example uses electrical and data communications specified by National Marine Electronics Association (NMEA) 183 communication, which should work with any GPS device capable of serial communication. You could use other protocols, including Garmin’s proprietary protocol, if you have access to the specifications. We can now send data to the hardware and read the responses. For our example, all we need to do is read the data broadcast from the GPS. We can confirm that we are communicating properly and that the data of interest is available by clicking the Read button several times to observe that properly formatted strings are being acquired in the sequential log. After a few attempts, the GPS coordinates of interest appear in the results, together with several other NMEA data types.
Finally, we close the connection to the GPS device to capture the disconnect as MATLAB script in the session log for later reference. While the MATLAB workflow discussed so far will be sufficient for some applications, others might benefit from incorporating the MATLAB script into a reusable driver. We can incorporate the MATLAB script into a reusable driver by using MIDEdit, a driver development tool in Instrument Control Toolbox (Figure 7).
Notebook Hardware Control 2.4.3 Beta Crack Full Version Latest. Control your hardware components with ease. Notebook Hardware Control.
MIDEdit lets you incorporate lower-level commands into higher-level commands that are easier to access. After launching MIDEdit from the command line, we create a new generic instrument driver through the File-New context menu. To demonstrate the use of a self-contained, reusable driver in MATLAB, we will add just two pieces of functionality to the driver: configure the GPS device and acquire the GPS location. With MIDEdit we could also create more advanced drivers comprising hundreds of lines of code.To configure the GPS device, we browse to the automatically generated MATLAB script in the TMTool session log. This script sets the baud rate and then opens the port. We can now copy this information into a driver. Within MIDEdit, we select the Connect tab from the Initialization and Cleanup node and set the Function Style to M-Code.
We then paste the script from TMTool into the function created in the driver editor. Noting that the serial interface may be obtained from the variable obj passed into this function, the MATLAB script is adjusted to use the serial port interface.To acquire the GPS location, we select the Function node in MIDEdit and add a new function called getLocation. This function will obtain the latitude, longitude, and cardinals.
In the MATLAB code editor pane, we paste in the MATLAB script that reads the NMEA lines. As in our first example, we modify the function to return an array representing the GPS location. We add logic that instructs getLocation to find only the GPS coordinates in the NMEA stream and to return the location. More functions could be added for each type of NMEA information found in the stream. Finally, we save the driver to our workspace as nmeareceiver.mdd.
Notebook Hardware Control
The driver is now ready to be used with the GPS device. We use TMTool to expand the Instrument Drivers node and create a new interface object by right-clicking the Interface Objects node under the Instrument Objects node. We select a serial port interface object and set the port to the serial port to which the GPS is connected. The interface object could be configured, opened, and read using the process described in the previous section, but this time we will use the instrument driver to perform our acquisition and analysis tasks.We select the Instrument Objects node and enter the information for the instrument driver nmeareceiver.mdd by right-clicking and selecting new Device Object. We then connect the GPS to the serial port represented by the interface object. It is possible to change the interface if the device and driver support more than one interface.
When completed, the nmeareceiver instance will appear under the Device Objects node.We can now connect to the GPS using the Connect button. Under the Functions tab, we can execute the getLocation function, resulting in the current location being acquired. We can export the results to the workspace for further analysis.MATLAB script is automatically generated when you interact with the driver in TMTool. As when working with the GPS device without using a driver, this generated script lets you reuse your work later to communicate with the device% Create a SERIAL object.interfaceObj = serial( 'COM4');% Create a device object.deviceObj = icdevice( 'nmeareceiver.mdd', interfaceObj);% Connect device object to hardware.connect(deviceObj);% Call the getLocation function.invoke(deviceObj, 'getLocation');%.% Disconnect device object from hardware.disconnect(deviceObj);We can enhance the reusability of the driver by adding functions, such as the datum being used, date and time, or waypoints. The driver can be shared with users who do not need to understand in detail how to communicate with their device.
Notebook Hardware Control Serial 2.4.3 Free
We used a GPS device to demonstrate how to configure and acquire data from external hardware without leaving the MATLAB environment. We used MATLAB and Instrument Control Toolbox to communicate with this hardware without writing a MATLAB script, demonstrated how to reuse our work using a MATLAB script automatically generated to communicate with the hardware, and how to incorporate functionality into MATLAB function calls through drivers. Using MATLAB improves work efficiency by eliminating the need to manually transfer data from one environment or learn and maintain multiple software tools.
Portable monitoring and control to achieve maximum performance and low power consumption is difficult nature of working with specialized software in this field unless you do this. Notebook Hardware Control 2.4.3 a in Organizing management monitor and To obtain the maximum performance of laptop hardware laptop.By this tool, you are able to detail exactly the CPU, CPU temperature, CPU speed and voltage of a laptop battery is a direct monitor.
Notebook Hardware Control acts exactly like an intelligent robot, for example, when the temperature CPU to be able to send a warning or critical level laptop is off.This tool is able to track and optimize laptop battery is the exact details of the laptop battery gives the laptop, there is also an option to control the fan noise that you can hear the fan when running the game or program Heavy down.