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Predictable wireless networking is a basis for real-time cyber-physical-human (CPH) systems such as those in augmented reality, connected and automated vehicles, and industrial automation, and a fundamental problem in predictable wireless networking is predictable control of intra-network interference in the presence of dynamics and uncertainties. We present the Physical-Ratio-K (PRK) wireless interference...
This paper introduces an efficient hardware accelerated feature extraction architecture with a high spec of 1920×1080 image resolution at 120 fps. We choose MoFREAK feature [1] to implement in our real-time action recognition system. MoFREAK is a local spatio-temporal feature, which combines the appearance and motion descriptor independently. We design a two phase architecture to balance the throughput...
We are witnessing the giant leap of Smart Cities and the prosperity of Internet of Things (loTs), but the anomalous vehicle surveillance issues in Intelligent Transportation Systems (ITS) are still challenging, especially when more computing tasks are migrated from Cloud center to the network edge. Different research studies attempted to tackle this problem, however, existing approaches are either...
Based on the actual situation of network attack and defense, a multi-stage attack-defense game model is formulated for the multi-stage attack-defense confrontation with the constraint of incomplete information. Considering that the network attack and defense has been developed rapidly and in real-time condition, the way that traditional discrete multi-stage game model has been used to analyze the...
We develop a data-driven real-time test for controllers' ability to meet given McFarlane-Glover loop-shape specifications. The proposed test provides a data-driven diagnosis for robustness of controllers by detecting controllers proven to fail to meet loop-shape specifications. The test has an important property that many controllers (not necessarily active ones) can be simultaneously tested in real-time...
Contactless physiological measurement is a new trend for long-term monitoring and future home care. Remote image photo-plethysmography (RIPPG) is one of data acquisition method for contactless measurement. Nowadays, the presented frameworks are mostly developed based on PC or smartphone. However, the large scale of image and signal operations can cause the performance issues for image capturing and...
Contact measurements of the respiratory rate by using whether conventional electrocardiogram (ECG) equipment or gas sensors with chest straps would cause inconvenience for patients. Therefore, a novel image-based non-contact technique is developed for respiratory rate evaluation and human target detection based on image depth information is also proposed to achieve automatic human target searching...
The recent rapid development of urbanization and Internet of things (IoT) encourages more and more research on Smart City in which computing devices are widely distributed and huge amount of dynamic real-time data are collected and processed. Although vast volume of dynamic data are available for extracting new living patterns and making urban plans, efficient data processing and instant decision...
Dynamically substructured system (DSS) technique is increasing recognized in the testing field. A DSS method decomposes an entire system into several substructures, which are tested numerically or physically, but run as a whole like the original system. Thus, the advantages of DSS include flexibility, space-saving, and cost-reduction. In a DSS test, actuators produce unexpected disturbance, when transferring...
Real-time information fusion based on WAMI (Wide-Area Motion Imagery), FMV (Full Motion Video), and Text data is highly desired for many mission critical emergency or military applications. However, due to the huge data rate, it is still infeasible to process streaming WAMI in a real-time manner and achieve the goal of online, uninterrupted target tracking. In this paper, a pseudo-real-Time WAMI data...
Efficient area surveillance in the Big Data era requires the capability of quickly abstracting useful information from the overwhelmingly increasing amount of data. Real-time information fusion is imperative and challenging to mission critical surveillance tasks for variant applications. Cloud computing has been recognized as an ideal candidate for Big Data because of many attractive features including...
In this paper, a real-time temperature compensation control system for a tunable high-Q cavity-based filter is designed, implemented and experimentally validated. A high-Q (Q = 400) bandstop resonator that can be tuned by a piezoelectric actuator from 1.27 GHz to 1.79 GHz is monitored in real time by an integrated monitoring resonator that shares the same piezoelectric actuator. Consequently, the...
This panel discussion aims at exploring the potential applications of emerging natural user interface (NUI) technologies and the challenges they pose to the design and deployment of cyber-physical systems. Based on their research work, six panelists will take turns to present the outlook, the cyber-physical requirements and the promising applications of implicit NUI. We hope these short presentations...
This work is motivated by the needs to synchronize task executions where tasks might use semaphores to protect their critical sections and run over accelerators. In particular, the Priority Ceiling Protocol is extended to manage priority inversion caused by accelerator usages. By recognizing the difference between an accelerator and a semaphore, higher-priority tasks are less likely blocked by lower-priority...
Given the rapid expansion of car ownership worldwide, vehicle safety is an increasingly critical issue in the automobile industry. The reduced cost of intelligent mobile phones has made it economically feasible to develop intelligent systems for visual-based event detection for forward collision avoidance and mitigation. In this work, a real-time traffic red light recognition is proposed under mobile...
Epidural anesthesia is one of the most widely used anesthesia methods. We developed a small hand-held OCT forward-imaging needle device for real-time epidural anesthesia surgery guidance and demonstrated its feasibility through ex vivo experiments.
In this paper, the analysis of digitizing the Campbell channel in wide range neutron monitoring (WRNM) system is introduced first and a digital neutron monitoring system of Campbell channel in Tsing Hua Open-Pool Reactor (THOR) is presented. A field programmable gate array (FPGA) based system for data acquisition and digital signal processing on amplified neutron power signal at THOR will be described...
Shrew Distributed Denial-of-Service (DDoS) attacks are stealthy, concealing their malicious activities in normal traffic. Although it is difficult to detect shrew DDoS attacks in the time domain, the existent energy exposes them in frequency domain. For this purpose, online Power Spectral Density (PSD) analysis necessitates real-time PSD data conversion. In this paper, an optimized FPGA based accelerator...
This paper presents a signal processing engine aiming to provide the brush function for electronic papers. The engine contains four stages: (a) screening the detected pixel coordinates, (b) interpolating pixels, (c) image halftoning for generating more visual gray levels, and (d) driving the pixels to the target states. The experimental results show that the engine can complete the pixel interpolation...
An adaptive ecology m-learning framework applied for national parks is proposed in this paper. The traditional ecology guiding service uses static web page or fixed placard to prompt and provide ecology information to learners. It can not provide adaptive learning anytime and anywhere. Learners can not obtain real-time ecology guiding information and have a good adaptive learning based on learners'...
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