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As cloud computing becomes popular, Platform as a Service (PaaS) plays an important role in a modern cloud system. The orchestration and efficiency attract more attention and demand a more intelligent solution. In this paper, we present Next Generation PaaS (NG-PaaS) which provides resource management, application management and performance monitoring. The NG-PaaS is built on docker to enable fine-grained...
In the paper, we propose an effective long-term real-time tracking method to address the problem of robustness and tracking failure in visual tracking with UAVs. Most existing trackers only consider short-term tracking, therefore are unable to cope with partial and complete occlusion, which finally leads to object drifting or loss. Our method still follows the tracking-by-detection framework. However,...
By taking the advantages of both CPU and GPU as well as the shared DRAM and cache, the integrated CPU-GPU architecture has the potential to boost the performance for a variety of applications, including real-time applications as well. However, before being applied to the hard real-time and safety-critical applications, the time-predictability of the integrated CPU-GPU architecture needs to be studied...
Planning treatment of acute cardiac events that limit the blood supply to major organs is particularly difficult for interventional cardiologists. The treatment of pathologies, such as vascular stenosis, can have numerous unforeseen consequences as the blood resumes its flow. Their decisions are largely based on 2D medical imagery and their own experience. This work in progress presents a virtual...
The increasing interest in the integration of Mixed Criticality Systems (MCS) in Commercial-Off-The-Shelf (COTS) platforms leads to an increasing number of challenges. The possibility of sharing computing resources among applications with different time criticalities is a key goal for COTS systems, but still hard to achieve. Classical approaches in real-time systems are not feasible when platform...
We propose a server-based approach to manage a general-purpose graphics processing unit (GPU) in a predictable and efficient manner. Our proposed approach introduces a GPU server task that is dedicated to handling GPU requests from other tasks on their behalf. The GPU server ensures bounded time to access the GPU, and allows other tasks to suspend during their GPU computation to save CPU cycles. By...
The Beaglebone Black single-board computer is well-suited for real-time embedded applications because its system-on-a-chip contains two "Programmable Real-time Units" (PRUs): 200-MHz microcontrollers that run concurrently with the main 1-GHz CPU that runs Linux. This paper introduces "Cyclops": a web-browser-based IDE that facilitates the development of embedded applications on...
Tone mapping operators map high dynamic range images so that they can be displayed with a high dynamic range appearance in a limited range medium. However, due to their large computational complexity, sequential implementation of these operators on CPU cannot achieve the frame rate needed for real-time video image processing. In this paper, we revisit these operators to simplify them so that we can...
Pedestrian detection is considered as an active area of research and the advent of autonomous vehicles for a smarter mobility has spearheaded the research in this field. In this paper, design of a real-time pedestrian detection system for autonomous vehicles is proposed and its performance is evaluated using images from standard datasets as well as realtime video input. The proposed system is designed...
The wide spread of mobile devices has also caused the explosive growth of malwares. Application behavior analysis is a popular technique to fight against malwares. However current app behavior analysis methods still have some limitations. For example, many popular dynamic analysis methods are built on Dalvik virtual machines. They cannot disclose the behavior of native code. VMI based methods can...
We propose a new tracking framework with an attentional mechanism that chooses a subset of the associated correlation filters for increased robustness and computational efficiency. The subset of filters is adaptively selected by a deep attentional network according to the dynamic properties of the tracking target. Our contributions are manifold, and are summarised as follows: (i) Introducing the Attentional...
In this paper, we propose a hardware computing architecture for face detection that classifies an image as a face or non-face. The computing architecture is first designed, modeled and tested in MATLAB Simulink using Xilinx block set and was later tested using a Virtex-6 FPGA ML605 Evaluation Kit. The system uses learned filters which were previously extracted by training on a set of face and non-face...
Accurate prediction of the traffic state can help to solve the problem of urban traffic congestion, providing guiding advices for people's travel and traffic regulation. In this paper, we propose a novel short-term traffic flow prediction algorithm, which is based on Multi-kernel Support Vector Machine (MSVM) and Adaptive Particle Swarm Optimization (APSO). Firstly, we explore both the nonlinear and...
Because of the rapid development of EtherCAT as the standard fieldbus in control and automation and the increasing demands of low cost portable main controllers, we aim to assess the performance of an EtherCAT network in handling real-time demands using open source EtherCAT master protocol on open hardware platforms. In comparison to that of commercial products, the performance of open platforms is...
The ability to access low-level IEEE 802.11 MAC primitives, and in particular to manage single transmission attempts in software at the user space level, is a prerequisite for many application scenarios based on Wi-Fi and characterized by tight timings constraints. Seamless redundancy, traffic scheduling, and TDMA techniques are just a few significant examples. In this paper, a novel software architecture...
A real-time fault detection and isolation strategy for gas sensor arrays is presented in this paper. To improve the efficiency of the basic kernel principal component analysis (KPCA) algorithm, a sample selection method is utilized to extract the approximate basis of the entire training sample set, and reduce the time consumption on the calculation of the kernel matrix. Further, a novel algorithm...
Big Data as expressed as "Big Graphs" are growing in importance. Looking forward, there is also increasing interest in streaming versions of the associated analytics. This paper develops an initial template for the relationship between "traditional" batch graph problems, and streaming forms. Variations of streaming problems are discussed, along with their relationship to existing...
In this paper, hardware implementation of edge detection at real time video signals using Sobel, Robert, Prewitt and Laplacian filters based on FPGA is explained. Besides, filters are compared in many ways. Edge detection is an elemantary and fundamental tool for image segmentation and feature extraction. Very high speed hardware like FPGA's are used to implement the image and video processing algorithms...
Creating an efficient localization algorithm for Internet of Things (IoT) and heterogeneous networks has been of the greatest challenges in the recent years for the researchers and industries. There has been significant efforts to increase the estimation accuracy and computational speed of localization algorithms either by improving the already existing ones or proposing new solutions. In this paper...
Integrated CPU-GPU architecture provides excellent acceleration capabilities for data parallel applications on embedded platforms while meeting the size, weight and power (SWaP) requirements. However, sharing of main memory between CPU applications and GPU kernels can severely affect the execution of GPU kernels and diminish the performance gain provided by GPU. In the NVIDIA Tegra TK1 platform which...
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