All Outputs (26)

Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter (2020)
Journal Article
Ullah, S., Mehmood, A., Khan, Q., Rehman, S., & Iqbal, J. (2020). Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter. International journal of control, automation and systems, 18(7), 1671-1678. https://doi.org/10.1007/s12555-019-0302-3

In this paper, a robust backstepping integral sliding mode control (RBISMC) technique is designed for the flight control of a quadcopter, which is an under-actuated nonlinear system. First, the mathematical model of this highly coupled and under-actu... Read More about Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter.

Estimation of Surgical Needle Insertion Force Using Kalman Filter (2020)
Journal Article
Jafri, S. R. U. N., Jamshaid, A., Jafri, S. M. U. N., & Iqbal, J. (2020). Estimation of Surgical Needle Insertion Force Using Kalman Filter. Journal of Electrical Engineering & Technology, 15(2), 899-906. https://doi.org/10.1007/s42835-020-00355-3

This paper presents a novel low-cost technique to measure the insertion force of a surgical needle on a testing surface to check needle strength. A combination of a load cell with a current sensor for a linear DC motor has been used to estimate the i... Read More about Estimation of Surgical Needle Insertion Force Using Kalman Filter.

On the improvement of calibration accuracy of parallel robots - Modeling and optimization (2020)
Journal Article
Bentaleb, T., & Iqbal, J. (2020). On the improvement of calibration accuracy of parallel robots - Modeling and optimization. Journal of Theoretical and Applied Mechanics (Poland), 58(1), 261-272. https://doi.org/10.15632/JTAM-PL/115863

This paper proposes kinematic based calibration methods for Delta parallel robots. The boundary of the robot workspace is computed using a forward kinematic model. Influence of errors in kinematic parameters on the workspace boundaries is investigate... Read More about On the improvement of calibration accuracy of parallel robots - Modeling and optimization.

Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy (2020)
Journal Article
Tambe, N., Pires, I. M., Moore, C., Cawthorne, C., & Beavis, A. (2020). Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy. British Journal of Radiology, 93(1106), https://doi.org/10.1259/bjr.20190535

Objectives: Radiotherapy plan quality may vary considerably depending on planner's experience and time constraints. The variability in treatment plans can be assessed by calculating the difference between achieved and the optimal dose distribution. T... Read More about Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy.

Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis (2020)
Journal Article
Ćuković, S. M., Taylor, W., Luković, V., Ghionea, I., Baizid, K., Iqbal, J., & Karuppasamy, S. (2020). Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis. Computer-Aided Design and Applications, 17(6), 1313-1325. https://doi.org/10.14733/cadaps.2020.1313-1325

In this paper, we developed a methodology for a non-invasive 3D diagnosis based on a digitized dorsal surface of the patient enabling assessment and monitoring of Adolescent Idiopathic Scoliosis (AIS). We applied a novel 3D registration algorithm, wh... Read More about Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis.

Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes (2020)
Journal Article
Yang, X., Han, X., Li, Q., He, L., Pang, M., & Jia, C. (2020). Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes. IEEE Access, 8, 40861-40880. https://doi.org/10.1109/ACCESS.2020.2976847

With the rapid development of point cloud processing technologies and the availability of a wide range of 3D capturing devices, a geometric object from the real world can be directly represented digitally as a dense and fine point cloud. Decomposing... Read More about Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes.