Recent years have witnessed great advancements in the science and technology of autonomy, robotics, and networking. This paper surveys recent concepts and algorithms for dynamic vehicle routing (DVR), that is, for the...
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Abstract Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experime...
Abstract Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed.
In recent years, ever more difficult market conditions have forced paper mills to give even greater attention than before to reducing costs and increasing production. De-inking plants are being called upon to deliver ...
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In recent years, ever more difficult market conditions have forced paper mills to give even greater attention than before to reducing costs and increasing production. De-inking plants are being called upon to deliver better control of brightness, at higher yield, to use less chemical additive and to operate at higher tonnages. The paper describes an online optimisation and control system that meets all these demands in real time, including online optimisation of flotation yield. Advanced Process control (APC) technology has been used in implementing this system;it recognises the multivariable character of the many variables that determine de-inked pulp brightness, yield and the demand for chemical additives. The paper reports an implementation of this approach on the de-inking plant at Aylesford Newsprint Ltd (ANL), in Kent, England. The optimisation system allows operations personnel to specify the costs of recycled paper, bleach, caustic and polymer for the water cleaning system in real time. Based on these costs and the value of finished de-inked pulp, the system determines optimal operation online. This has delivered a number of very significant benefits, providing a very short project payback time. For the ANL DIP case study reviewed in this paper: • Brightness is controlled tightly, to a standard deviation of less than 0.3 points. • Production can be maximised or automatically adjusted, based on paper machine demand. Production changes can be made while tight brightness control is maintained. • There has been a significant reduction in bleach and caustic use and in the polymer used in water treatment. • The APC system has significantly enhanced the ability to maintain and improve yield against the effect of many factors that would otherwise diminish yield. • The constraint management that APC offers means that the operability of the plant has been significantly improved, including better management of plant bottlenecks. • The DCS screens showing what the APC s
Communication-Based Train control (CBTC) is an automated control system for railways using data communications. CBTC systems have stringent communication latency requirements. However, in rail transit systems, frequen...
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Communication-Based Train control (CBTC) is an automated control system for railways using data communications. CBTC systems have stringent communication latency requirements. However, in rail transit systems, frequent train handoffs can cause severe communication latency. In this paper, we propose a handoff scheme in CBTC systems based on WLANs with multiple-input and multiple-output (MIMO) technologies to improve the handoff latency performance. Particularly, we consider channel estimation errors and the tradeoff between MIMO multiplexing gain and diversity gain in making handoff decisions. The handoff problem is formulated as a partially observable Markov decision process (POMDP), and the optimal handoff policy can be derived to minimize the handoff latency. Simulations results based on real field channel measurements are presented to show the effectiveness of the proposed scheme.
In this paper a new concept of set invariance, called D-invariance, is introduced for dynamical systems described by delay difference equations. We will be interested in the definition and computation of such invarian...
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In this paper a new concept of set invariance, called D-invariance, is introduced for dynamical systems described by delay difference equations. We will be interested in the definition and computation of such invariant sets in a specified bounded region of the state-space. The Minkowski algebra will be used to define mappings over the set of compact sets in direct relationship with the invariance of time-delay systems. Set-iterates based on these mappings can be used for the construction of a non-decreasing sequence of D-invariant sets.
The Discrete Cosine Transform (DCT) is one of the most widely used techniques for image compression. Several algorithms are proposed to implement the DCT-2D. The scaled SDCT algorithm is an optimization of the DCT-1D,...
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The Discrete Cosine Transform (DCT) is one of the most widely used techniques for image compression. Several algorithms are proposed to implement the DCT-2D. The scaled SDCT algorithm is an optimization of the DCT-1D, which consists in gathering all the multiplications at the end. In this paper, in addition to the hardware implementation on an FPGA, an extended optimization has been performed by merging the multiplications in the quantization block without having an impact on the image quality. Tests using MATLAB environment have shown that our proposed approach produces images with quality comparable to the ones obtained using the JPEG standard. FPGA-based implementations of this proposed approach and the Loeffler's algorithm are proposed and compared in this paper using an Altera Startix FPGA family with the synthesis and implementation tool Quartus II. Results show that our approach outperforms the well known Loeffler's algorithm in terms of processing-speed and resources used.
Abstract A Sliding Mode (SM) Regulator is proposed for an Antilock Brake System (ABS) control problem by employing Block control SM and regulation concepts. This regulator has robustness against matched and unmatched ...
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Abstract A Sliding Mode (SM) Regulator is proposed for an Antilock Brake System (ABS) control problem by employing Block control SM and regulation concepts. This regulator has robustness against matched and unmatched perturbations, and the capability to estimate and incorporate the residual dynamics. Numeric simulations are carried on in order to verify the closed-loop system performance, where simulations predict the robustness of the ABS to matched and unmatched perturbations.
Novice Java programmers often cannot make well structured program,so that the program does not have much *** dependency between fields and methods in classes often causes such inappropriate class structure,so responsi...
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Novice Java programmers often cannot make well structured program,so that the program does not have much *** dependency between fields and methods in classes often causes such inappropriate class structure,so responsibility of each class becomes unclear and the readability of the program is *** programs are difficult to identify the causes of bugs,so that novice programmers often lose the desire to learn *** paper proposes a way to learn how to develop a well structured Java program,which includes subject design,evaluation tool,and a web-based programming exercise environment by analyzing some source codes of novice Java programmers.
The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters...
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The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters for renewable energy sources.
The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a ...
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The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a supervised algorithm suited only to two-class discrimination; it is unable to solve multiclass discrimination problems. This paper proposes a new method named the binary common spatial patterns (BCSP) algorithm to extend the basic CSP method to multi-class recognition. Our method arranges the spatial filters and Fisher classifiers in the form of a binary tree whereby N - 1 spatial filters and N - 1 Fisher classifiers are calculated for N class recognition. This is fewer than must be calculated in other methods (e.g. one-versus-rest, OVR). This makes the overall classification procedure less redundant. Simulation results show that BCSP has better performance than the OVR scheme and outperforms the three best teams in the 2008 BCI-competition.
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