This paper presents design considerations of indoor and outdoor navigation techniques proposed for unmanned vehicles (UV). In this paper, we mainly investigate the use and the advantages of wireless sensor networks (W...
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This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical o...
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This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical optimization. The coupling uses a standardized XML format for exchange of differential-algebraic equations (DAE) models. OpenModelica supports export of models written in Modelica and the optimization language extension using this XML format, while CasADi supports import of models represented in this format. This allows users to define optimal control problems (OCP) using Modelica and optimization language specification, and solve the underlying model formulation using a range of optimization methods, including direct collocation and direct multiple shooting. The proposed solution has been tested on several industrially relevant optimal control problems, including a diesel-electric power train.
This paper presents a mobile robot aided self deploying wireless sensor network aiming to detect radiation leaks and to measure radiation levels, and explains design considerations to prolong network life. Special att...
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This paper presents a new approach for automatic building detection in very high resolution satellite images. The proposed method is a cooperative multi-agent approach between both an edge and region approach. In the ...
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An L(0,1)-labelling of a graph G is an assignment of nonnegative integers to the vertices of G such that the difference between the labels assigned to any two adjacent vertices is at least zero and the difference betw...
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An L(0,1)-labelling of a graph G is an assignment of nonnegative integers to the vertices of G such that the difference between the labels assigned to any two adjacent vertices is at least zero and the difference between the labels assigned to any two vertices which are at distance two is at least one. The span of an L(0,1)-labelling is the maximum label number assigned to any vertex of G. The L(0,1)-labelling number of a graph G, denoted by λ0.1(G) is the least integer k such that G has an L(0,1)-labelling of span k. This labelling has an application to a computer code assignment problem. The task is to assign integer control codes to a network of computer stations with distance restrictions. A cactus graph is a connected graph in which every block is either an edge or a cycle. In this paper, we label the vertices of a cactus graph by L(0,1)-labelling and have shown that, △-1≤λ0.1(G)≤△ for a cactus graph, where △ is the degree of the graph G.
Wireless sensor networks for monitoring and steering industrial systems have emerged as an important new application area for wireless embedded technology in safety-related systems. Therefore several hardware platform...
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Wireless sensor networks for monitoring and steering industrial systems have emerged as an important new application area for wireless embedded technology in safety-related systems. Therefore several hardware platforms can be targeted. Due to their flexibility and reconfigurability along with high performance and power efficiency, modern Field Programmable Gate Arrays (FPGAs) are an excellent platform to realize such intelligent sensor networks. On one hand, FPGAs can integrate embedded processors and on-chip memory into a single die and can be easily configured to interface with a wide variety of popular communications protocols like SPI, UART and I2C, which are used for sensor communication. On the other hand, the reconfigurability of FPGAs supports the design of self-organizing computing systems, which are increasingly used in sensor applications. In this paper an FPGA-based wireless smart sensor network that integrates acceleration sensors for increasing safety aspects in cognitive systems used for industrial communication is presented.
Sensor communication applications not only require high performance processing but also flexible and reliable computing. Today, standard microprocessor systems are still application oriented and aren't suitable by...
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Sensor communication applications not only require high performance processing but also flexible and reliable computing. Today, standard microprocessor systems are still application oriented and aren't suitable by implication for reliability-related and safety-related applications. In order to achieve a certain safety integrity level (SIL), several measures, methodologies and especially additional components should be considered, which leads to more and more complex systems. For this reason, new application devices should be targeted. In this context, reconfigurable devices such as SRAM-based Field Programmable Gates Arrays (FPGAs) provide a suitable solution due to their flexibility, and the necessary computing performance at affordable design cost and time. In fact, SRAM-Based FPGAs are nowadays frequently used in embedded communication systems due to their design flexibility and reconfigurability. This paper presents a prototyping platform for an FPGA-based safety-related communication system for a wireless sensor network. As a case study an acceleration sensor application is introduced.
This paper proposes a continuous, non-invasive blood pressure monitoring system concept, which uses a safety microprocessor to connect sensors for building a body sensor network. The changes in Pulse Transit Time (PTT...
ISBN:
(纸本)9781467347358
This paper proposes a continuous, non-invasive blood pressure monitoring system concept, which uses a safety microprocessor to connect sensors for building a body sensor network. The changes in Pulse Transit Time (PTT) can be detected with the sensor network. The microprocessor gathers the PTT and other vital signs of the patient to derive changes in blood pressure. Through the new Bluetooth protocol for safety systems, the current blood pressure value can be sent to a variety of terminals present in the wireless network, such as mobile phone, PC and medical monitoring systems. The 1oo2 architecture of the used microprocessor can provide high safety to a rating of safety integrity level 3 (SIL3), thus the whole network can meet the safety required in medical care systems.
With the announcement and development of safety standards such as IEC 61508 and DO-254 standards a basis for the implementation of qualitative and quantitative analyzes in the areas of reliability and safety for elect...
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With the announcement and development of safety standards such as IEC 61508 and DO-254 standards a basis for the implementation of qualitative and quantitative analyzes in the areas of reliability and safety for electronic safety-related systems was laid. Especially with the publication of the second edition of the standard IEC 61508 standard and the introduction of new aspects such as on-chip redundancy and the use of integrated systems in such systems is becoming increasingly attractive. SRAM-based FPGAs are considered as the mainstream FPGA technology and represent an excellent platform for the development of system-on-chips due to their complexity and programming flexibility. In this paper, the implementation of FPGA-based safety-related systems according to the standard IEC 61508 is targeted. First, the advantages and challenges of FPGAs for the use in such systems are presented. Afterwards, measures and methodologies are discussed, which are required for the implementation of such systems. Finally suitable FPGA implementation of these measures is presented.
Simultaneous Localization and Mapping (SLAM) algorithms with multiple autonomous robots have received considerable attention in recent years. In general, SLAM algorithms use odometry information and measurements from ...
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