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Sunkari Pradeep, Yogesh Kumar Sharma, Chaman Verma, Gutha Sreeram and Panugati Hanumantha Rao
Modern computers? network interface cards (NICs) are undergoing changes in order to handle greater data rates and assist with scaling problems caused by general-purpose CPU technology. The inclusion of programmable accelerators to the NIC?s data channel ...
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Weikun Xie, Wenjing Qi, Xiaohui Lin and Houjun Wang
With the rapid development of integrated circuit production technology, the scale of FPGA circuits has expanded to billions of gates. The complexity of the internal resource structures in the FPGAs (field programmable gate arrays) is continually increasi...
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Fatima Zahra Guerrouj, Sergio Rodríguez Flórez, Mohamed Abouzahir, Abdelhafid El Ouardi and Mustapha Ramzi
Convolutional Neural Networks (CNNs) have been incredibly effective for object detection tasks. YOLOv4 is a state-of-the-art object detection algorithm designed for embedded systems. It is based on YOLOv3 and has improved accuracy, speed, and robustness....
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Ahmed Jawad A. AlBdairi, Zhu Xiao, Ahmed Alkhayyat, Amjad J. Humaidi, Mohammed A. Fadhel, Bahaa Hussein Taher, Laith Alzubaidi, José Santamaría and Omran Al-Shamma
In the last decade, there has been a surge of interest in addressing complex Computer Vision (CV) problems in the field of face recognition (FR). In particular, one of the most difficult ones is based on the accurate determination of the ethnicity of man...
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Iouliia Skliarova
It is well known that network-based parallel data processing algorithms are well suited to implementation in reconfigurable hardware recurring to either Field-Programmable Gate Arrays (FPGA) or Programmable Systems-on-Chip (PSoC). The intrinsic paralleli...
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Ian Andrew Grout and Lenore Mullin
In embedded electronic system applications being developed today, complex datasets are required to be obtained, processed, and communicated. These can be from various sources such as environmental sensors, still image cameras, and video cameras. Once obt...
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Seojin Jang, Wei Liu and Yongbeom Cho
Owing to their high accuracy, deep convolutional neural networks (CNNs) are extensively used. However, they are characterized by high complexity. Real-time performance and acceleration are required in current CNN systems. A graphics processing unit (GPU)...
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Muhammad Rashid, Harish Kumar, Sikandar Zulqarnain Khan, Ismail Bahkali, Ahmed Alhomoud and Zahid Mehmood
This paper presents a high-speed and low-area accelerator architecture for shared key generation using an elliptic-curve Diffie-Hellman protocol over ????(2233)
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. Concerning the high speed, the proposed architecture employs a two-stage pipe...
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Darryl Franck Nsalo Kong, Chong Shen, Chuan Tian and Kun Zhang
This paper mainly studies the performance of an acoustic beamforming technique applied to a low-cost hydrophone in a linear array of two to four elements for the detection and localization of underwater acoustic sound waves. It also evaluates the integra...
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Mikhail Lavrentiev, Konstantin Lysakov, Andrey Marchuk, Konstantin Oblaukhov and Mikhail Shadrin
Events of a seismic nature followed by catastrophic floods caused by tsunami waves (the incidence of which has increased in recent decades) have an important impact on the populations of littoral regions. On the coast of Japan and Kamchatka, it takes nea...
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