The IEEE 802.15.4 standard offers a flexible communication solution for low-rate wireless small area networks. When the beacon mode is enabled, real-time communication is possible by using the Guaranteed Time Slots (G...
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The IEEE 802.15.4 standard offers a flexible communication solution for low-rate wireless small area networks. When the beacon mode is enabled, real-time communication is possible by using the Guaranteed Time Slots (GTS) mechanism. However, the beacon-enabled mode only supports a maximum of seven GTS allocated in each superframe, preventing other nodes to benefit from the guaranteed service. This paper introduces the SIGHT (Skips In GTS scHeduling for IEEE 802.15.4 neTworks) model, which incorporates a dynamic GTS allocation policy for IEEE 802.15.4 networks based on the (m,k)-firm task model. Our approach ensures that at least m messages are allocated in a guaranteed slot, for any k consecutive superframes. It adopts a deterministic schedulability test and an on-line prioritization heuristic algorithm called Slotted DBP (Distance Based Priority) to attend requests according to this schedulability model. A simulation model has been developed, in order to compare the behaviour in overload conditions of the proposed Slotted DBP with other approaches (DWCS and FIFO).
Operator training without a process model is necessary in certain plant manufacturing industry's applications because the process models from the control theory perspective are still not available. This paper desc...
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Operator training without a process model is necessary in certain plant manufacturing industry's applications because the process models from the control theory perspective are still not available. This paper describes an experiment that analyzed the benefits of 3D data visualization integrated in HMI for process control in combination with different types of operator training to obtain process knowledge. The benefits of interactive 3D slider training in identifying errors during operation could be proven.
Traffic jam often occurs around the signalized intersection because each takes ¿stop-and-go cost¿ to pass through the intersection. Stop-and-go cost traffic increases air pollution and gas consumption, produ...
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Traffic jam often occurs around the signalized intersection because each takes ¿stop-and-go cost¿ to pass through the intersection. Stop-and-go cost traffic increases air pollution and gas consumption, produces greater wear and tear on vehicles, and costs people and businesses money in the delay it imposes. Hence, traffic signal control has significant meanings in reducing the traffic jams efficiently. A modification method of traffic signal control management based on self-organizing is introduced. The self-organizing observed in nonlinear coupled oscillators is referred to as ¿synchronization¿, where oscillators having difference natural frequencies are phase locked with some phase delay as result of their mutual or one-side intersection. Simulation illustrate that the new approach is technically sound, moreover it can be implemented in real situation even in non-structure intersection like in Indonesia.
A new algorithm based on Modified Particle Swarm Optimization (MPSO) that follows is a local gradient of a chemical concentration within a plume and follows the direction of the wind velocity is investigated. Moreover...
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A new algorithm based on Modified Particle Swarm Optimization (MPSO) that follows is a local gradient of a chemical concentration within a plume and follows the direction of the wind velocity is investigated. Moreover, the niche characteristic is adopted to solve the multi-peak and multi-source problem. Simulations results demonstrate that the new approach is reliable for The Advection-Diffusion odor robotic model. Finally, the statistical analysis shows this new approach is technically sound.
In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts ...
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In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts the health state of the equipment based on its usage and maintenance actions. Based on the health state, the failure rate of the equipment can be estimated. We propose to use this predictive health model to predict the effects of different maintenance actions. The effects of maintenance actions over a future time window are evaluated by a cost function. The maintenance actions are optimized using this cost function. The proposed framework is applied in the optimization of the loading of transformers based on the thermal degradation of the paper insulation.
An electronic nose system had been developed by using 16 quartz resonator sensitive membranesbasic resonance frequencies 20 MHz as a sensor, and analyzed the measurement data through various neural network as a patter...
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An electronic nose system had been developed by using 16 quartz resonator sensitive membranesbasic resonance frequencies 20 MHz as a sensor, and analyzed the measurement data through various neural network as a pattern recognition system. The developed system showed high recognition probability to discriminate various single odors even mixture odor to its high generality properties;however the system still need improvement. In order to improve the performance of the proposed system, development of the sensor and other neural network are being sought. This paper explains the improvement of the capability of that system from the point of neural network system. It has been proved from our previos work that FLVQ (Fuzzy Learning Vectoq Quantization) which is LVQ (Learning Vector Quantization) together with fuzzy theory shows high recognition capability compared with other neural networks, however FLVQ have a weakness for selecting the best codebook vector that will influence the result of recognition. This problem will be anticipated by adding the PSO (Particle Swarm Optimization) method to select the best codebook vector. Then experiment showt that the new recognition system (FLVQ-PSO) has produced higher capability compared to the earlier mentioned system.
The systematic conception of decentralized and self-adaptive software systems, as demanded for the run-time management of today’s distributed, multi-tier software architectures, is an active research area. Here, we d...
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The systematic conception of decentralized and self-adaptive software systems, as demanded for the run-time management of today’s distributed, multi-tier software architectures, is an active research area. Here, we discuss a coordination architecture that facilitates the enactment of externalized coordination models in Multi-agent systems (MAS). Coordination is configured by systemic models, i.e. structures of agent-behaviour interdependencies that denote the mutual influences of agent activities. The systematic, iterative application development is supported by a non-intrusive integration approach that enables developers to adjust application dynamics by complementing agent-based applications with systemic coordination models.
Transbronchial needle aspiration different chest diseases and for staging lung cancer, but the procedure has technical limitations. These limitations are mostly related to the difficulty of accurately placing the biop...
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This paper considers problem of stabilization of the first order nonholonomic chained system using polar-like coordinates. A control method considered here can be regarded as an extension of control solution based on ...
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This paper considers problem of stabilization of the first order nonholonomic chained system using polar-like coordinates. A control method considered here can be regarded as an extension of control solution based on polar coordinate transformation in order to apply it to other system than unicycle. Presented control strategy gives possibility to obtain fast convergence of regulation errors without oscillatory behavior. A robustness of the controller in the neighborhood of the desired point is ensured via additional non-smooth techniques. In order to verify usefulness of developed control strategy simulation results are given.
作者：
Runyao DuanYuan FengMingsheng YingState Key Laboratory of Intelligent Technology and Systems
Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China and Centre for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney New South Wales 2007 Australia
We provide a feasible necessary and sufficient condition for when an unknown quantum operation (quantum device) secretly selected from a set of known quantum operations can be identified perfectly within a finite numb...
We provide a feasible necessary and sufficient condition for when an unknown quantum operation (quantum device) secretly selected from a set of known quantum operations can be identified perfectly within a finite number of queries, and thus complete the characterization of the perfect distinguishability of quantum operations. We further design an optimal protocol which can achieve the perfect discrimination between two quantum operations by a minimal number of queries. Interestingly, we find that an optimal perfect discrimination between two isometries is always achievable without auxiliary systems or entanglement.
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