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- Body sensor networks (1)
- Cryptographic primitives (1)
- Data privacy (1)
- Electromyography (1)
- Energy capability (1)
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- Energy resources (1)
- FDTD simulation (1)
- Generation algorithm (1)
- MSM-PD. (1)
- Medical computing (1)
- Muscle (1)
- Muscle activities (1)
- Network security (1)
- Privacy enhancing technologies (1)
- Random number generation (1)
- Security protocols (1)
- Sensor nodes (1)
- Subwavelength aperture (1)
- Surface electromyography signals (1)
- Surface plasmon polaritons (1)
- Wearable sensors (1)
- Wireless body sensor networks (1)
- [RSTDPub] (1)
Articles 1 - 2 of 2
Full-Text Articles in Electronic Devices and Semiconductor Manufacturing
Muscle Activity-Driven Green-Oriented Random Number Generation Mechanism To Secure Wbsn Wearable Device Communications, Yuanlong Cao, Guanghe Zhang, Fanghua Liu, Ilsun You, Guanglou Zheng, Oluwarotimi W. Samuel, Shixiong Chen
Muscle Activity-Driven Green-Oriented Random Number Generation Mechanism To Secure Wbsn Wearable Device Communications, Yuanlong Cao, Guanghe Zhang, Fanghua Liu, Ilsun You, Guanglou Zheng, Oluwarotimi W. Samuel, Shixiong Chen
Research outputs 2014 to 2021
Wireless body sensor networks (WBSNs) mostly consist of low-cost sensor nodes and implanted devices which generally have extremely limited capability of computations and energy capabilities. Hence, traditional security protocols and privacy enhancing technologies are not applicable to the WBSNs since their computations and cryptographic primitives are normally exceedingly complicated. Nowadays, mobile wearable and wireless muscle-computer interfaces have been integrated with the WBSN sensors for various applications such as rehabilitation, sports, entertainment, and healthcare. In this paper, we propose MGRNG, a novel muscle activity-driven green-oriented random number generation mechanism which uses the human muscle activity as green energy resource to generate …
Nano-Patterned High-Responsivity Gaas Metal-Semiconductor-Metal Photodetector, Ayman Karar, Chee Leong Tan, Kamal Alameh, Yong Tak Lee
Nano-Patterned High-Responsivity Gaas Metal-Semiconductor-Metal Photodetector, Ayman Karar, Chee Leong Tan, Kamal Alameh, Yong Tak Lee
Research outputs 2011
In this paper, we use the finite difference time-domain (FDTD) method to optimize the light absorption of an ultrafast nano-grating plasmonic GaAs metal-semiconductor-metal photodetector (MSM-PD) employing double metal nano-gratings. The geometry of the MSM-PD is theoretically investigated, leading to improved light absorption near the design wavelength of GaAs due to plasmon-assisted electric and magnetic field concentration through a subwavelength aperture. Simulation results show up to 8- and 21-times light absorption enhancement for the single and double nano-grating structure, respectively, in comparison to conventional MSM-PDs. Experimentally, more than 4 times enhancement in photocurrent is demonstrated for a single top nano-grating MSM-PD …