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Yu Dai, Jiaming Fu, Zhen Gao and Lei Yang
Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energ...
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Feiya Li, Chunyun Fu, Dongye Sun, Hormoz Marzbani and Minghui Hu
Geometric map features, such as line segments and planes, are receiving increasing attention due to their advantages in simultaneous localization and mapping applications. However, large structures in different environments are very likely to appear repe...
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Chengxu Feng, Yasong Luo, Jianqiang Zhang and Houpu Li
The underwater acoustic communication technique for high-speed and highly reliable information transmission in the ocean has been one of the popular research focuses facing the fast-growing information technology sector and the accelerating development o...
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Qixun Xiao, Wenying Zheng, Yifan He, Zijie Chen, Fanxin Meng and Liyan Wu
The use of Internet of Things (IoT) technology for real-time monitoring of agricultural pests is an unavoidable trend in the future of intelligent agriculture. This paper aims to address the difficulties in deploying models at the edge of the pest monito...
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Zhenshan Bao, Junnan Guo, Wenbo Zhang and Hongbo Dang
FPGA-based accelerators have shown great potential in improving the performance of CNN inference. However, the existing FPGA-based approaches suffer from a low compute unit (CU) efficiency due to their large number of redundant computations, thus leading...
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Yingjie Wang, Lianhong Zhang, Wei Ma, Yanhui Wang, Wendong Niu, Yu Song and Weimin Wang
Accurate quantitative plankton observation is significant for biogeochemistry and environmental monitoring. However, current observation equipment is mostly shipborne, and there is a lack of long-term, large-scale, and low-cost methods for plankton obser...
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Shuo Wang, Zhiqiang Zhou, Hongjie Zhang and Jing Li
In the cloud datacenter, for the multi-tenant model, network resources should be fairly allocated among VDCs (virtual datacenters). Conventionally, the allocation of cloud network resources is on a best-effort basis, so the specific information of networ...
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Hongqiang Wei, Guiyun Zhou and Wenyan Dong
Depression (pit or sink) filling is a key preprocessing step for the automatic hydrologic analysis of surface topography. The Planchon and Darboux (P&D) algorithm is a widely used depression filling algorithm. In this study, we propose an improved va...
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Zhipeng Lin, Wenjing Yang, Houcun Zhou, Xinhai Xu, Liaoyuan Sun, Yongjun Zhang and Yuhua Tang
Multiphase flow solvers are widely-used applications in OpenFOAM, whose scalability suffers from the costly communication overhead. Therefore, we establish communication-optimized multiphase flow solvers in OpenFOAM. In this paper, we first deliver a sca...
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Fengmei Liang, Yajun Xu, Weixin Li, Xiaoling Ning, Xueou Liu and Ajian Liu
To overcome the limitation of artificial judgment of meibomian gland morphology, we proposed a solution based on an improved fuzzy c-means (FCM) algorithm and rough sets theory. The rough sets reduced the redundant attributes while ensuring classificatio...
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