67 citations · 116 across the 6 of their papers we have counts for
6 papers
FLAG: A Framework for FPGA-based LoAd Generation in Profinet Communication
Ahmad Khaliq, Sangeet Saha. Bina Bhatt, Dongbing Gu +2
Like other automated system technologies, PROFINET, a real-time Industrial Ethernet Standard has shown increasing level of integration into the present IT Infrastructure. Such vast…
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks
Tuo Feng, Dongbing Gu
Recently end-to-end unsupervised deep learning methods have achieved an effect beyond geometric methods for visual depth and ego-motion estimation tasks. These data-based learning…
Profi-Load: An FPGA-Based Solution for Generating Network Load in Profinet Communication
Ahmad Khaliq, Sangeet Saha, Bina Bhatt +2
Industrial automation has received a considerable attention in the last few years with the rise of Internet of Things (IoT). Specifically, industrial communication network technolo…
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
Ruihao Li, Sen Wang, Zhiqiang Long +1
We propose a novel monocular visual odometry (VO) system called UnDeepVO in this paper. UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view…
Exploring Dynamic Environments Using Stochastic Search Strategies
C. A. Piña-García, Dongbing Gu, J. Mario Siqueiros-García +2
In this paper, we conduct a literature review of laws of motion based on stochastic search strategies which are mainly focused on exploring highly dynamic environments. In this reg…
Towards a Standard Sampling Methodology on Online Social Networks: Collecting Global Trends on Twitter
C. A. Piña-García, Dongbing Gu
One of the most significant current challenges in large-scale online social networks, is to establish a concise and coherent method able to collect and summarize data. Sampling the…