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Luís P. N. Mendes, Ana M. C. Ricardo, Alexandre J. M. Bernardino and Rui M. L. Ferreira
We present novel velocimetry algorithms based on the hybridization of correlation-based Particle Image Velocimetry (PIV) and a combination of Lucas?Kanade and Liu?Shen optical flow (OpF) methods. An efficient Aparapi/OpenCL implementation of those method...
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Qing Li, Decheng Zuo, Yi Feng and Dongxin Wen
Backpack computers require powerful, intelligent computing capabilities for field wearables while taking energy consumption into careful consideration. A recommended solution for this demand is the CPU + NPU-based SoC. In many wearable intelligence appli...
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Yongmeng Qi, Qiang Li, Zhigang Zhao, Jiahua Zhang, Lingyun Gao, Wu Yuan, Zhonghua Lu, Ningming Nie, Xiaomin Shang and Shunan Tao
Large-scale floods are one of the major events that impact the national economy and people?s livelihood every year during the flood season. Predicting the factors of flood evolution is a worldwide problem. We use the two-dimensional Saint-Venant equation...
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Seungtae Hong, Hyunwoo Cho and Jeong-Si Kim
As embedded systems, such as smartphones with limited resources, have become increasingly popular, active research has recently been conducted on performing on-device deep learning in such systems. Therefore, in this study, we propose a deep learning fra...
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Yakun Wu, Li Luo, Shujuan Yin, Mengqi Yu, Fei Qiao, Hongzhi Huang, Xuesong Shi, Qi Wei and Xinjun Liu
The Simultaneous Localization and Mapping (SLAM) algorithm is a hotspot in robot application research with the ability to help mobile robots solve the most fundamental problems of ?localization? and ?mapping?. The visual semantic SLAM algorithm fused wit...
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Amine Saddik, Rachid Latif and Abdelhafid El Ouardi
Today?s on-chip systems technology has grounded impressive advances in computing power and energy consumption. The choice of the right architecture depends on the application. In our case, we were studying vegetation monitoring algorithms in precision ag...
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Kaijie Fan, Biagio Cosenza and Ben Juurlink
Energy optimization is an increasingly important aspect of today?s high-performance computing applications. In particular, dynamic voltage and frequency scaling (DVFS) has become a widely adopted solution to balance performance and energy consumption, an...
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Sangkyun Lee and Jeonghyun Lee
Deep neural networks (DNNs) have been quite successful in solving many complex learning problems. However, DNNs tend to have a large number of learning parameters, leading to a large memory and computation requirement. In this paper, we propose a model c...
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Thomas Faict, Erik H. D?Hollander and Bart Goossens
Intel recently introduced the Heterogeneous Architecture Research Platform, HARP. In this platform, the Central Processing Unit and a Field-Programmable Gate Array are connected through a high-bandwidth, low-latency interconnect and both share DRAM memor...
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David Pfander, Gregor Daiß and Dirk Pflüger
Clustering is an important task in data mining that has become more challenging due to the ever-increasing size of available datasets. To cope with these big data scenarios, a high-performance clustering approach is required. Sparse grid clustering is a ...
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