New parallel processing strategies in complex event processing systems with data streams
Sensor network–based application has gained increasing attention where data streams gathered from distributed sensors need to be processed and analyzed with timely responses. Distributed complex event processing is an effective technology to handle these
Fuyuan Xiao +4 more
semanticscholar +1 more source
Ship Detection Using Transfer Learned Single Shot Multi Box Detector
Ship detection in satellite images is a challenging task. In this paper, we introduce a transfer learned Single Shot MultiBox Detector (SSD) for ship detection.
Nie Gu-Hong +4 more
doaj +1 more source
Parallel processing by cortical inhibition enables context-dependent behavior
Physical features of sensory stimuli are fixed, but sensory perception is context dependent. The precise mechanisms that govern contextual modulation remain unknown.
K. Kuchibhotla +7 more
semanticscholar +1 more source
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation.
Yanan Zhong +5 more
semanticscholar +1 more source
Robustness Analysis of Floating-Point Programs by Self-Composition
Robustness is a key property for critical systems that run in uncertain environments, to ensure that small input perturbations can cause only small output changes.
Liqian Chen +4 more
doaj +1 more source
Understanding and Statically Detecting Synchronization Performance Bugs in Distributed Cloud Systems
In such an information society, the Internet of Things (IoT) plays an increasingly important role in our daily lives. With such a huge number of deployed IoT devices, Cyber-Physical System (CPS) calls for powerful distributed infrastructures to supply ...
Chen Zhang +3 more
doaj +1 more source
Self-Collaborative Unsupervised Hashing for Large-Scale Image Retrieval
Learning based hashing approaches have achieved considerable success in large-scale image retrieval due to the query effectiveness and efficiency. However, most studies highly rely on supervised knowledge like data labels, thus might fail in unsupervised
Hongmin Zhao, Zhigang Luo
doaj +1 more source
A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering
Non-maximum suppression is an important step in many object detection and object counting algorithms. In contrast with the extensive studies of object detection, NMS method has not caused too much attention.
Zhao Xin, Wang Yue-Qing, Dou Yong
doaj +1 more source
DD-MIC(O) preconditioning of rotated trilinear FEM elasticity systems
New results about preconditioning of rotated trilinear nonconforming FEM elasticity systems in the case of mesh anisotropy are presented. The solver of the arising linear system is based on the constructed efficient preconditioner of the coupled ...
I. Georgiev, S. Margenov
doaj
Developing a new mesh quality evaluation method based on convolutional neural network
One of the difficult requirements imposed on high-quality CFD mesh generation has been the ability to evaluate the mesh quality efficiently. Due to the lack of a general and effective evaluating criterion, the current mesh quality evaluation task mainly ...
Xinhai Chen +5 more
doaj +1 more source

