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Maria Inês Frutuoso, Horácio C. Neto, Mário P. Véstias and Rui Policarpo Duarte
Wearable devices used for personal monitoring applications have been improved over the last decades. However, these devices are limited in terms of size, processing capability and power consumption. This paper proposes an efficient hardware/software embe...
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Diba Das, Mehdi Hasan Chowdhury, Aditta Chowdhury, Kamrul Hasan, Quazi Delwar Hossain and Ray C. C. Cheung
The electrooculogram (EOG) is one of the most significant signals carrying eye movement information, such as blinks and saccades. There are many human?computer interface (HCI) applications based on eye blinks. For example, the detection of eye blinks can...
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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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Riaz-ul-haque Mian, Michihiro Shintani and Michiko Inoue
Decimal arithmetic using software is slow for very large-scale applications. On the other hand, when hardware is employed, extra area overhead is required. A balanced strategy can overcome both issues. Our proposed methods are compliant with the IEEE 754...
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Parham Haririan
Dealing with resource constraints is an inevitable feature of embedded systems. Power and performance are the main concerns beside others. Pre-silicon analysis of power and performance in today?s complex embedded designs is a big challenge. Although RTL ...
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Régis Leveugle, Asma Mkhinini and Paolo Maistri
In the Internet of Things (IoT), many strong constraints have to be considered when designing the connected objects, including low cost and low power, thus limited resources. The confidentiality and integrity of sensitive data must however be ensured eve...
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Pascal Bouvry,Rudolf Mayer,Jakub Muszynski,Dana Petcu,Andreas Rauber,Gianluca Tempesti,Tuan Trinh,Sébastien Varrette
Pág. 46 - 63
Ultrascale computing is a new computing paradigm that comes naturally from the necessity of computing systems that should be able to handle massive data in possibly very large scale distributed systems, enabling new forms of applications that can s...
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