Differentially Fed CDRA Array with Phase Inverter for High Gain and Reduced Cross Polarization
(2019)
Presentation / Conference Contribution
Hasan, M. N., Simorangkir, R. B., Esselle, K. P., & Shad, S. (2019, July). Differentially Fed CDRA Array with Phase Inverter for High Gain and Reduced Cross Polarization. Presented at 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, GA, USA
Outputs (4349)
Recommendation-based Trust Model for Vehicle-to-Everything (V2X) (2019)
Journal Article
Alnasser, A., Sun, H., & Jiang, J. (2020). Recommendation-based Trust Model for Vehicle-to-Everything (V2X). IEEE Internet of Things Journal, 7(1), 440-450. https://doi.org/10.1109/jiot.2019.2950083Intelligent Transportation System (ITS) is one of the main systems which have been developed to achieve safe traffic and efficient transportation. It enables the vehicles to establish connections with other road entities and infrastructure units usin... Read More about Recommendation-based Trust Model for Vehicle-to-Everything (V2X).
Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation (2019)
Book Chapter
Atapour-Abarghouei, A., & Breckon, T. (2019). Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation. In P. L. Rosin, Y. Lai, L. Shao, & Y. Liu (Eds.), RGB-D image analysis and processing (15-50). Springer Verlag. https://doi.org/10.1007/978-3-030-28603-3_2Even though obtaining 3D information has received significant attention in scene capture systems in recent years, there are currently numerous challenges within scene depth estimation which is one of the fundamental parts of any 3D vision system focu... Read More about Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation.
Singular enrichment functions for Helmholtz scattering at corner locations using the Boundary Element Method (2019)
Journal Article
Gilvey, B., Trevelyan, J., & Hattori, G. (2020). Singular enrichment functions for Helmholtz scattering at corner locations using the Boundary Element Method. International Journal for Numerical Methods in Engineering, 121(3), 519-533. https://doi.org/10.1002/nme.6232In this paper we use an enriched approximation space for the efficient and accurate solution of the Helmholtz equation in order to solve problems of wave scattering by polygonal obstacles. This is implemented in both Boundary Element Method (BEM) and... Read More about Singular enrichment functions for Helmholtz scattering at corner locations using the Boundary Element Method.
Discussion on "Factors influencing undrained strength of fine-grained soils at high water contents" (2019)
Journal Article
Nagaraj, H. B., Sravan, M. V., & Deepa, B. S. (2021). Discussion on "Factors influencing undrained strength of fine-grained soils at high water contents". Geomechanics and Geoengineering, 16(4), 325-329. https://doi.org/10.1080/17486025.2019.1670875Following the standard testing procedures, many well-cited publications report variations in undrained strength at the liquid limit obtained by both percussion cup and fall-cone tests. Assuming fixed strength of undrained strength at liquid limit and... Read More about Discussion on "Factors influencing undrained strength of fine-grained soils at high water contents".
Rain Statistics Investigation and Rain Attenuation Modeling for Millimeter Wave Short-range Fixed Links (2019)
Journal Article
Huang, J., Cao, Y., Raimundo, X., Cheema, A., & Salous, S. (2019). Rain Statistics Investigation and Rain Attenuation Modeling for Millimeter Wave Short-range Fixed Links. IEEE Access, 7, 156110-156120. https://doi.org/10.1109/access.2019.2949437Millimeter wave (mmWave) communication is a key technology for fifth generation (5G) and beyond communication networks. However, the communication quality of the radio link can be largely affected by rain attenuation, which should be carefully taken... Read More about Rain Statistics Investigation and Rain Attenuation Modeling for Millimeter Wave Short-range Fixed Links.
Indoor Material Properties Extraction from Scattering Parameters at Frequencies from 750 GHz to 1.1 THz (2019)
Presentation / Conference Contribution
Sheikh, F., Mabrouk, I. B., Alomainy, A., Abbasi, Q. H., & Kaiser, T. (2019, July). Indoor Material Properties Extraction from Scattering Parameters at Frequencies from 750 GHz to 1.1 THz. Presented at 2019 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP), Bochum, GermanyThis paper reports the first ever transmission measurements for a wide choice of different indoor materials such as wood, plastic, paper, brick, glass and leather at frequencies from 750 GHz to 1.1 THz using up-conversion (frequency-domain) method em... Read More about Indoor Material Properties Extraction from Scattering Parameters at Frequencies from 750 GHz to 1.1 THz.
Low-profile Pattern Reconfigurable Antenna for Wireless Body Area Networks (2019)
Presentation / Conference Contribution
Mohamadzade, B., Simorangkir, R. B., Hashmi, R. M., & Shrestha, S. (2019, September). Low-profile Pattern Reconfigurable Antenna for Wireless Body Area Networks. Presented at 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA), Granada, Spain
Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning (2019)
Journal Article
Liu, B., Brigham, J. C., He, J., Yuan, X., & Hu, H. (2019). Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning. Engineering Research Express, 1(2), Article 025018. https://doi.org/10.1088/2631-8695/ab4af0An end-to-end machine learning approach for classifying rolling contact fatigue (RCF) defects utilizing defect images is presented and evaluated. The core component of this approach is the use of a fine-tuned AlexNet architecture (FT-AlexNet), which... Read More about Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning.
Small to large strain mechanical behaviour of an alluvium stabilised with low carbon secondary minerals (2019)
Journal Article
Sargent, P., Rouainia, M., Diambra, C., Nash, D., & Hughes, P. (2020). Small to large strain mechanical behaviour of an alluvium stabilised with low carbon secondary minerals. Construction and Building Materials, 232, Article 117174. https://doi.org/10.1016/j.conbuildmat.2019.117174Deep dry soil mixing is a popular ground improvement technique used to strengthen soft compressible soils, with Portland cement being the most popular binder. However, its continued use is becoming less sustainable given the high CO2 emissions associ... Read More about Small to large strain mechanical behaviour of an alluvium stabilised with low carbon secondary minerals.