This paper presents the preliminary results of the first stage of a proposed framework of existing image detection convolutional algorithms, and sets the image portable detector requirements, focusing on portable dete...
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ISBN:
(数字)9781728164458
ISBN:
(纸本)9781728164465
This paper presents the preliminary results of the first stage of a proposed framework of existing image detection convolutional algorithms, and sets the image portable detector requirements, focusing on portable detection devices. Such devices perform image segmentation and transmit monitoring meta-data. Four pre-trained CNNs have been used to classify images of vehicles passing through toll posts, and the results are presented and compared. At subsequent stages of the presented framework certain types of vehicles will be detected and categorized, based on the type of cargo they carry. The proposed framework is wrapped by an appropriate system architecture which interacts with incident response or facility management systems, and tries to achieve precise speed/memory/accuracy balance for each targeted detection application accordingly. To this end, various ways are investigated and evaluated, to trade accuracy for speed and memory usage in modern mobile convolutional algorithm driven detection systems monitoring specific regions of interest. Such tradeoffs provide increased detection capabilities to incident response systems that interact with such detectors in real-time, or in post-processing with facility management systems for accurate and automated decisions adaptation.
This work focusses on the source code generation of task and communication patterns for different real-time operating systems. On the basis of reusable frames, an initial approach for implementing distributed applicat...
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This work focusses on the source code generation of task and communication patterns for different real-time operating systems. On the basis of reusable frames, an initial approach for implementing distributed applications will be presented. Thereby, distributed real-time systems can be mapped to the operating system framework Hyper Real-time Operating System (HyROS). In this respect, it is of great importance to cleanly separate functional from non-functional properties. Mapping different systems to HyROS can be achieved by using HyFrameLang, a language for frame operations and HyAppLang, an embedded domain specific language. Programming examples for HyFrameLang and HyAppLang are presented for task patterns of PXROS-HR and OSEK/VDX, representative real-time operating systems. Moreover, a short introduction on framing communication aspects is given.
embedded real-time systems are being increasingly used in a major part of critical applications. In these systems, critical real-time constraints must be satisfied even in the presence of failures. In this paper, we p...
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ISBN:
(纸本)1402081480
embedded real-time systems are being increasingly used in a major part of critical applications. In these systems, critical real-time constraints must be satisfied even in the presence of failures. In this paper, we present a new method-based on graph transformation that introduces fault-tolerance in building embedded real-time systems. The proposed method targets distributed architecture and can tolerate a fixed number of arbitrary processors and communication links failures. Because of the resource limitation in embeddedsystems, our method uses a software-based replication technique to provide fault-tolerance. Finally, since we use graph transformation to perform replication, our method may be used by any off-line distribution-scheduling algorithm to generate a fault-tolerant distributed schedule.
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