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The Internet of Things (IoT) has significant potential in upgrading legacy production machinery with monitoring capabilities to unlock new capabilities and bring economic benefits. However, the introduction of IoT at the shop floor layer exposes it to additional security risks with potentially significant adverse operational impact. This project addresses such fundamental new risks at their root by introducing a novel endpoint security by design approach. The approach is implemented on a widely applicable production machinery monitoring application by introducing real time adaptation features for IoT device security through subsystem isolation and a dedicated lightweight authentication protocol.
Data Types:
  • Software/Code
The GBSAR-Proc Python package is designed to load and process data gathered from Cranfield University's ground based Synthetic Aperture Radar (SAR) system. Included in the package are a series of classes designed to manipulate raw data, process it into range profiles and finally use the Backprojection Algorithm to plot high quality near-field SAR images. In addition to the more common planar SAR images, there is functionality to both generate and plot volumetric SAR images, formed on either the CPU or GPU.
Data Types:
  • Software/Code
A one-dimensional soil water balance model that partitions daily rainfall into evapotranspiration, surface runoff and drainage. Options allow irrigation to be scheduled according to rules, water table position to be simulated with field under drainage, and soil water salinity to be estimated. The installation package includes a user manual, technical manual and a tutorial with sample data.
Data Types:
  • Software/Code
The GBSAR-Proc Python package is designed to load and process data gathered from Cranfield University's ground based Synthetic Aperture Radar (SAR) system. Included in the package are a series of classes designed to manipulate raw data, process it into range profiles and finally use the Backprojection Algorithm to plot high quality near-field SAR images. In addition to the more common planar SAR images, there is functionality to both generate and plot volumetric SAR images, formed on either the CPU or GPU.
Data Types:
  • Software/Code
A one-dimensional soil water balance model that partitions daily rainfall into evapotranspiration, surface runoff and drainage. Options allow irrigation to be scheduled according to rules, water table position to be simulated with field under drainage, and soil water salinity to be estimated. The installation package includes a user manual, technical manual and a tutorial with sample data.
Data Types:
  • Software/Code
A simple on-screen calculator to calculate daily, or monthly reference evapotranspiration from weather data according to the Penman, Modified Penman (FAO24), Penman Monteith (FAO56) or Hargreaves methods.
Data Types:
  • Software/Code
The GBSAR-Proc Python package is designed to load and process data gathered from Cranfield University's ground based Synthetic Aperture Radar (SAR) system. Included in the package are a series of classes designed to manipulate raw data, process it into range profiles and finally use the Backprojection Algorithm to plot high quality near-field SAR images. In addition to the more common planar SAR images, there is functionality to both generate and plot volumetric SAR images, formed on either the CPU or GPU.
Data Types:
  • Software/Code
A simple on-screen calculator to calculate daily, or monthly reference evapotranspiration from weather data according to the Penman, Modified Penman (FAO24), Penman Monteith (FAO56) or Hargreaves methods.
Data Types:
  • Software/Code
Aerosonde Simulink simulation with mission simulator, and fault simulator. Development of work by Whidborne, Saban, et al
Data Types:
  • Software/Code
Author details: Aisyah Md Khalid (n.mdkhalid@cranfield.ac.uk) and Professor Howard Smith (howard.smith@cranfield.ac.uk). Backup contact: Cranfield University research data support (researchdata@cranfield.ac.uk). Code description: This code is used to calculate the aerodynamic coefficients of CL, CD and CMac. The steps for executing the program is as follows:1. Open Matlab and type Main in the command window until Main window is opened. 2. Type the name of the project in the Project name box.3. Under the Geometry Panel section, click Base Geometry to create the geometry of the wing until SurfEdit window is opened.4. Fill in the Section Parameters by putting x, y and z coordinates, chord length and incidence angle. Choose the aerofoil section by choosing the NACA aerofoil or click the airfoil file path to choose aerofoil from inFoils folder. Enter the Nb (number of spanwise section) and Nc (number of chordwise section) under the Surface Discretization section. When all information above is filled, click apply until the saved box under Select - Edition Surface Section is checked.5. Select Sec 2 to enter information for section 2 of the wing. If the number of wing section is more than 2, additional section can be added by clicking New Section. After filling all information required for all wing section, click OK to generate the wing geometry. The full span wings are created with a symmetry plane at the centre of the wing.6. Put the aerodynamic conditions under Aerodynamic Parameters in the Main window.7. Under Selection Case section, click refresh and Run the aerodynamic case - The program calculates the aerodynamic forces and moments on each strip based on their local velocities. Wait until the program finishes calculating the CL and CD. These values will appear on the Main window under workspace segment. 8. Repeat the above process to calculate CMac by choosing the Quasi-3D solver_CM folder and the calculated CM values will appear in the command window.
Data Types:
  • Software/Code