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train_908
Multivariable H/sub infinity // mu feedback control design for high-precision
wafer stage motion Conventional PID-like SISO controllers are still the most common in industry, but with performance requirements becoming tighter there is a growing need for advanced controllers. For the positioning devices in IC-manufacturing, plant interaction is a major performance-limiting factor. MIMO control ca...
feedback;weighting filters;servo systems;mimo systems;mechatronics;model uncertainty;motion control;ic manufacture;h/sub infinity / control;mu synthesis;multivariable control systems
train_909
Influence of the process design on the control strategy: application in
electropneumatic field This article proposes an example of electropneumatic system where the architecture of the process is modified with respect to both the specifications for position and velocity tracking and a criterion concerning the energy consumption. Experimental results are compared and analyzed using an indus...
positioning systems;monovariable control;energy consumption;flatness theory;electropneumatic systems;position control;tracking;multivariable control;nonlinear control;velocity control
train_91
IT challenge: cross selling [finance]
Like most financial institutions, FleetBoston, Fidelity and Berkshire Group of Companies are being charged with developing a strong technology platform that will allow them to cross sell their products and services. They discuss their solutions, advice and technology choices
berkshire group;financial institutions;fidelity;fleetboston;cross selling
train_910
Control of a heavy-duty robotic excavator using time delay control with
integral sliding surface The control of a robotic excavator is difficult from the standpoint of the following problems: parameter variations in mechanical structures, various nonlinearities in hydraulic actuators and disturbance due to the contact with the ground. In addition, the more the size of robotic excavators in...
trajectory control;integral sliding surface;tracking;time-delay control;pressure control;dynamics;motion control;robust control;robotic excavator
train_911
Scheduling schemes for an integrated flight and propulsion control system
We describe two schemes for scheduling an integrated flight and propulsion control system for an experimental vertical/short take-off and landing (V/STOL) aircraft concept in the acceleration from hover (0-120 kn) flight phase. Multivariable integrated flight and propulsion controllers are designed at several points ov...
vertical short take-off landing aircraft;state feedback;observers;vstol aircraft;propulsion control;scheduling;fixed-point controllers;flight control;multivariable control systems
train_912
Grey-box model identification via evolutionary computing
This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate blackbox models for immeasurable and local nonlinearities of a practi...
nonlinear system;grey-box models;system identification;genetic evolution;multiobjective optimisation;hydraulic system;evolutionary algorithms
train_913
Control of a coupled map lattice model for vortex shedding in the wake of a
cylinder The flow behind a vibrating flexible cable at low Reynolds numbers can exhibit complex wake structures such as lace-like patterns, vortex dislocations and frequency cells. These structures have been observed in experiments and numerical simulations, and are predicted by a previously developed low-order coupled...
cylinder;spatio-temporal feedback control;1/1 lock-on;vibrating flexible cable;temporal circle map;vortex shedding;vortex dislocations;vortex dislocation;coupled circle map oscillators;low reynolds numbers;proportional feedback;wake;discontinuous nonlinear control;coupled map lattice
train_914
A knowledge management framework for the support of decision making in
humanitarian assistance/disaster relief The major challenge in current humanitarian assistance/disaster relief (HA/DR) efforts is that diverse information and knowledge are widely distributed and owned by different organizations. These resources are not efficiently organized and utilized during HA/DR operations. We pre...
crisis management;organizations;real-time decision-making environments;knowledge reuse;knowledge management framework;information technology;emergency medical assistance;disaster relief;knowledge sharing;decision support system;humanitarian assistance;case-based reasoning;information needs
train_915
A meteorological fuzzy expert system incorporating subjective user input
We present a fuzzy expert system, MEDEX, for forecasting gale-force winds in the Mediterranean basin. The most successful local wind forecasting in this region is achieved by an expert human forecaster with access to numerical weather prediction products. That forecaster's knowledge is expressed as a set of 'rules-of-t...
uncertainty;rules-of-thumb;fuzzy set theory;fuzzy pattern matching;mediterranean basin;meteorological fuzzy expert system;numerical weather prediction products;subjective user input;fuzzy rule base;medex;wind circulation patterns;gale-force wind forecasting;subjective variables;rule specification
train_916
Attribute generation based on association rules
A decision tree is considered to be appropriate (1) if the tree can classify the unseen data accurately, and (2) if the size of the tree is small. One of the approaches to induce such a good decision tree is to add new attributes and their values to enhance the expressiveness of the training data at the data pre-proces...
attribute extraction;data mining;decision tree;training data;association rules;large database;experiments;attribute generation
train_917
Efficient transitive closure reasoning in a combined class/part/containment
hierarchy Class hierarchies form the backbone of many implemented knowledge representation and reasoning systems. They are used for inheritance, classification and transitive closure reasoning. Part hierarchies are also important in artificial intelligence. Other hierarchies, e.g. containment hierarchies, have received...
parallel reasoning;inheritance;containment hierarchy;classification;parallel algorithms;data representation;medical vocabulary;class hierarchy;artificial intelligence;materialized transitive closure representation;part hierarchy;maximally reduced tree cover;knowledge representation;fixed hardware configuration;part hie...
train_918
Schema evolution in data warehouses
We address the issues related to the evolution and maintenance of data warehousing systems, when underlying data sources change their schema capabilities. These changes can invalidate views at the data warehousing system. We present an approach for dynamically adapting views according to schema changes arising on sourc...
system maintenance;structural view maintenance;containment;schema evolution;source relations;view adaptation;data analysis;sql query;data sources;data warehouses;organizational decision-making
train_919
Agents in e-commerce: state of the art
This paper surveys the state of the art of agent-mediated electronic commerce (e-commerce), especially in business-to-consumer (B2C) e-commerce and business-to-business (B2B) e-commerce. From the consumer buying behaviour perspective, the roles of agents in B2C e-commerce are: product brokering, merchant brokering, and...
supply chain management;state of the art;data-mining agents;multi-agent systems;agent-mediated electronic commerce;mobile agents;evolutionary agents;business-to-business e-commerce;consumer buying behaviour;negotiation;product brokering;merchant brokering;business-to-consumer e-commerce
train_92
Wireless-retail financial services: adoption can't justify the cost
Slow adoption by retail investors, costly services and bankrupt vendors has prompted banks and brokerage firms to turn off their wireless applications
wireless applications;banks;brokerage firms
train_920
Three-dimensional periodic Voronoi grain models and micromechanical
FE-simulations of a two-phase steel A three-dimensional model is proposed for modeling of microstructures. The model is based on the finite element method with periodic boundary conditions. The Voronoi algorithm is used to generate the geometrical model, which has a periodic grain structure that follows the original bo...
two-phase steel;kinematic constraints;voronoi algorithm;periodic voronoi grain models;adaptive mesh generator;voronoi tessellation;microstructures modeling;micromechanical fem simulations;ferrite-pearlite steel;stress-strain curves;quadtree/octree-based algorithm;computational time;geometrical model;periodic boundary c...
train_921
Processing of complexly shaped multiply connected domains in finite element
mesh generation Large number of finite element models in modern materials science and engineering is defined on complexly shaped domains, quite often multiply connected. Generation of quality finite element meshes on such domains, especially in cases when the mesh must be 100% quadrilateral, is highly problematic. This...
metal forming processes;automatic step calculation;quadrilateral mesh;parasitic capacitances;iterative basis;printed circuit boards;parasitic inductances;programming implementation;finite element mesh generation;complexly shaped multiply connected domains;structural engineering models;general domain subdivision algorit...
train_922
Smart collision information processing sensors for fast moving objects
In this technical note we survey the area of smart collision information processing sensors. We review the existing technologies to detect collision or overlap between fast moving physical objects or objects in virtual environments, physical environments or a combination of physical and virtual objects. We report devel...
nonconvex objects;air traffic control;continuous time intervals;collision information processing;physical environments;consecutive time frames;high speed machining;tracking;virtual environments;interframe collision detection;collision detection;convex objects;smart sensors;discrete time steps;fast moving objects;milita...
train_923
Design and manufacture of a lightweight piezo-composite curved actuator
In this paper we are concerned with the design, manufacture and performance test of a lightweight piezo-composite curved actuator (called LIPCA) using a top carbon fiber composite layer with near-zero coefficient of thermal expansion (CTE), a middle PZT ceramic wafer, and a bottom glass/epoxy layer with a high CTE. The...
carbon fiber composite layer;glass/epoxy layer;predicted curvatures;lipca;boundary conditions;performance tests;thunder;fiber reinforced plastic layers;near-zero coefficient of thermal expansion;performance test;lightweight piezo-composite curved actuator;177 degc;pzt ceramic wafer;177 degrees c
train_924
Dynamic testing of inflatable structures using smart materials
In this paper we present experimental investigations of the vibration testing of an inflated, thin-film torus using smart materials. Lightweight, inflatable structures are very attractive in satellite applications. However, the lightweight, flexible and highly damped nature of inflated structures poses difficulties in ...
satellite applications;thin-film torus;inflated structures;polyvinylidene fluoride patches;boundary condition;dynamic response;pvdf sensors;modal parameters;kapton torus;smart materials;space device;ground vibration testing;macro-fiber composite actuators
train_925
A fundamental investigation into large strain recovery of one-way shape memory alloy wires embedded in flexible polyurethanes
Shape memory alloys (SMAs) are being embedded in or externally attached to smart structures because of the large amount of actuation deformation and force that these materials are capable of producing when they are heated. Previous investigations have focused primarily on using single or opposing SMA wires exhibiting t...
three-dimensional finite element analysis;flexible polyurethanes;embedded sensor;alloy wires;actuation deformation;actuation strain;recoverable strains;smart structures;deformations;strain recovery;transverse strain fields;sma wires;two-way shape memory effect;flexible polyurethane;one-way shape memory;matrix material
train_926
Experimental investigation of active vibration control using neural networks
and piezoelectric actuators The use of neural networks for identification and control of smart structures is investigated experimentally. Piezoelectric actuators are employed to suppress the vibrations of a cantilevered plate subject to impulse, sine wave and band-limited white noise disturbances. The neural networks u...
piezoelectric actuators;multilayer perceptrons;identification;robustness;error backpropagation;smart structures;cantilevered plate;closed-loop performance;neural networks;white noise disturbances;control;vibration suppression;neurocontroller;active vibration control
train_927
Autonomous detection of crack initiation using surface-mounted piezotransducers
In this paper we report on the application of an in situ health monitoring system, comprising an array of piezoceramic wafer elements, to the detection of fatigue degradation in metallic specimens exposed to cyclic loading. Lamb waves, transmitted through a beam test coupon, are sensed using small surface-mounted piezo...
loading conditions;aircraft;robustness;metallic specimens;in situ health monitoring;piezoceramic wafer elements;cyclic loading;lamb waves;automated in situ structural health monitoring;fatigue operational structures;structural degradation;fatigue degradation;surface-mounted piezotransducer elements
train_928
Weighted energy linear quadratic regulator vibration control of piezoelectric
composite plates In this paper on finite element linear quadratic regulator (LQR) vibration control of smart piezoelectric composite plates, we propose the use of the total weighted energy method to select the weighting matrices. By constructing the optimal performance function as a relative measure of the total kineti...
total weighted energy;total kinetic energy;weighting matrices;damping effect;numerical results;vibration control;optimal performance function;strain energy weight factor;damping ratios;smart piezoelectric composite plates;modal control analysis;computational cost;strain energy;structural control analysis;finite element...
train_929
Closed loop finite-element modeling of active constrained layer damping in the
time domain analysis A three-dimensional finite-element closed-loop model has been developed to predict the effects of active-passive damping on a vibrating structure. The Golla-Hughes-McTavish method is employed to capture the viscoelastic material behavior in a time domain analysis. The parametric study includes the ...
active constrained layer damping;golla-hughes-mctavish method;acld models;viscoelastic layer;structural damping;viscoelastic material;time domain analysis;passive constrained model;active damping model;vibration suppression;passive damping;three-dimensional finite-element closed-loop model
train_93
Help-desk support is key to wireless success [finance]
A well thought out help desk can make or break an institution's mobile play. Schwab, Ameritrade and RBC are taking their support function seriously
ameritrade;schwab;finance;wireless;rbc;help desk
train_930
NARX-based technique for the modelling of magneto-rheological damping devices
This paper presents a methodology for identifying variable-structure nonlinear models of magneto-rheological dampers (MRD) and similar devices. Its peculiarity with respect to the mainstream literature is to be especially conceived for obtaining models that are structurally simple, easy to estimate and well suited for ...
identification;narx models;magnetorheological damping;modelling;minimization;validation;simulation error;model-based control;mrd modelling
train_931
Active vibration control of composite sandwich beams with piezoelectric
extension-bending and shear actuators We have used quasi-static equations of piezoelectricity to derive a finite element formulation capable of modelling two different kinds of piezoelastically induced actuation in an adaptive composite sandwich beam. This formulation is made to couple certain piezoelectric constants t...
quasi-static equations;dynamic response;shear actuators;finite element formulation;shear-induced actuation;piezoelastically;transverse electric field;active stiffness;piezoelectric constants;adaptive composite sandwich beam;linear quadratic regulator;modal domain;finite element procedure;sandwich model;piezoelectricity...
train_932
Modeling of torsional vibration induced by extension-twisting coupling of
anisotropic composite laminates with piezoelectric actuators In this paper we present a dynamic analytical model for the torsional vibration of an anisotropic piezoelectric laminate induced by the extension-twisting coupling effect. In the present approach, we use the Hamilton principle and a reduced bending stiffness ...
reduced bending stiffness;piezoelectric actuators;hamilton principle;pzt;out-of-plane displacement;structural coupling;twisting;equations of motion;torsional vibration;material anisotropy;in-plane displacements;harmonic excitation;anisotropic piezoelectric laminate;anisotropic composite laminates;extension -twisting co...
train_933
Real-time estimations of multi-modal frequencies for smart structures
In this paper, various methods for the real-time estimation of multi-modal frequencies are realized in real time and compared through numerical and experimental tests. These parameter-based frequency estimation methods can be applied to various engineering fields such as communications, radar and adaptive vibration and...
multi-modal frequencies;characteristic equation;real-time estimation;real-time computations;frequency estimation;linearized adaptive notch filter;arma;wing-like composite plates;smart structures;auto regressive and moving average methods;bairstow method;frequency estimation algorithm;cascade notch filter;noise control;...
train_934
Induced-shear piezoelectric actuators for rotor blade trailing edge flaps
Much of the current rotorcraft research is focused on improving performance by reducing unwanted helicopter noise and vibration. One of the most promising active rotorcraft vibration control systems is an active trailing edge flap. In this paper, an induced-shear piezoelectric tube actuator is used in conjunction with ...
finite-element model;vibration control;shear tube actuator flap;aerodynamic loading;inertial loading;12 inch flap;piezoelectric tube actuator;helicopter vibration;helicopter noise;design;active trailing edge flap;12 inch;bench top testing;induced-shear tube actuator;lever-cusp hinge amplification device;rotorcraft
train_935
Experimental feedforward and feedback control of a one-dimensional SMA
composite The control of embedded shape memory alloy (SMA) actuators has recently become a topic of interest in the field of smart structures. The inherent difficulties associated with SMA actuators has resulted in a variety of approaches. Homogenization provides a simplified, yet mathematically rigorous, method of det...
homogenization;sma actuators;smart structures;embedded shape memory alloy;linear matrix;sma;thermal activation;models
train_936
Resonant controllers for smart structures
In this paper we propose a special type of colocated feedback controller for smart structures. The controller is a parallel combination of high-Q resonant circuits. Each of the resonant circuits is tuned to a pole (or the resonant frequency) of the smart structure. It is proven that the parallel combination of resonant...
damping;actuator-sensor;multiple resonant modes;feedback controller;smart structure;smart structures;resonant frequency;multimode resonances;laminate beam;high-q resonant circuits
train_937
Use of neural networks in the analysis of particle size distribution by laser
diffraction: tests with different particle systems The application of forward light scattering methods for estimating the particle size distribution (PSD) is usually limited by the occurrence of multiple scattering, which affects the angular distribution of light in highly concentrated suspensions, thus resulting in fa...
angular distribution of light;fraunhofer optical model;particle shape distribution;solid-liquid suspensions;fluidized catalytic cracking;particle size distribution;laser diffraction;multiple scattering;pattern recognition;powdered materials;forward light scattering;neural network modeling;backpropagation algorithm;imag...
train_938
Fast accurate MEG source localization using a multilayer perceptron trained
with real brain noise Iterative gradient methods such as Levenberg-Marquardt (LM) are in widespread use for source localization from electroencephalographic (EEG) and magnetoencephalographic (MEG) signals. Unfortunately, LM depends sensitively on the initial guess, necessitating repeated runs. This, combined with LM's ...
real brain noise;iterative gradient methods;meg source localization;multilayer perceptron;forward model;levenberg-marquardt method;quasistatic electromagnetic propagation;spherical head;correlated noise;fast accurate localization;computation accuracy;analytical model;real-time localizer;white gaussian noise
train_939
Image reconstruction from fan-beam projections on less than a short scan
This work is concerned with 2D image reconstruction from fan-beam projections. It is shown that exact and stable reconstruction of a given region-of-interest in the object does not require all lines passing through the object to be measured. Complete (non-truncated) fan-beam projections provide sufficient information f...
region-of-interest;x-ray computed tomography;exact stable reconstruction;fan-beam projections;vertex path;3d head phantom;2d image reconstruction;convolution;short-scan condition;radon transform;linear interpolation;rebinning formula;hilbert transform;filtered-backprojection algorithm
train_94
Gearing up for CLS bank
Continuous-Linked Settlement, a dream of the foreign-exchange community for years, may finally become a reality by the end of 2002
foreign-exchange;continuous-linked settlement
train_940
Tools for the analysis of dose optimization. I. Effect-volume histogram
With the advent of dose optimization algorithms, predominantly for intensity-modulated radiotherapy (IMRT), computer software has progressed beyond the point of being merely a tool at the hands of an expert and has become an active, independent mediator of the dosimetric conflicts between treatment goals and risks. To ...
insufficient target coverage;exponential law;treatment goals;one-sided quadratic penalties;low doses;objective function;dose optimization algorithms;treatment risks;treatment planning;quadratic overdose penalty;decision-making process;effect-volume histogram;cell survival;computer software;partial volumes;volume elemen...
train_941
Option pricing formulas based on a non-Gaussian stock price model
Options are financial instruments that depend on the underlying stock. We explain their non-Gaussian fluctuations using the nonextensive thermodynamics parameter q. A generalized form of the Black-Scholes (BS) partial differential equation (1973) and some closed-form solutions are obtained. The standard BS equation (q ...
stock volatility;nongaussian stock price model;black-scholes partial differential equation;closed-form solutions;volatility smile;option pricing formulas;financial instruments;empirical distribution;nonextensive thermodynamics parameter
train_942
Micro-optical realization of arrays of selectively addressable dipole traps: a
scalable configuration for quantum computation with atomic qubits We experimentally demonstrate novel structures for the realization of registers of atomic qubits: We trap neutral atoms in one- and two-dimensional arrays of far-detuned dipole traps obtained by focusing a red-detuned laser beam with a microfabricated ar...
neutral atoms;quantum computation;scalable configuration;far-detuned dipole traps;internal states;microfabricated array;atomic qubits;registers;red-detuned laser beam;microlenses;quantum gate operations
train_943
Implementation of universal quantum gates based on nonadiabatic geometric
phases We propose an experimentally feasible scheme to achieve quantum computation based on nonadiabatic geometric phase shifts, in which a cyclic geometric phase is used to realize a set of universal quantum gates. Physical implementation of this set of gates is designed for Josephson junctions and for NMR systems. In...
nonadiabatic geometric phase shifts;quantum computation;josephson junctions;nmr systems;nonadiabatic geometric gates;operation time;universal quantum gates;cyclic geometric phase;nonadiabatic phase shift
train_944
Conditions for the local manipulation of Gaussian states
We present a general necessary and sufficient criterion for the possibility of a state transformation from one mixed Gaussian state to another of a bipartite continuous-variable system with two modes. The class of operations that will be considered is the set of local Gaussian completely positive trace-preserving maps
bipartite continuous-variable system;quantum information theory;local manipulation;trace-preserving maps;gaussian states;state transformation
train_945
Testing statistical bounds on entanglement using quantum chaos
Previous results indicate that while chaos can lead to substantial entropy production, thereby maximizing dynamical entanglement, this still falls short of maximality. Random matrix theory modeling of composite quantum systems, investigated recently, entails a universal distribution of the eigenvalues of the reduced de...
statistical bounds;entropy production;hilbert spaces;kicked tops;random matrix theory;maximality;quantized chaotic systems;universal distribution;entanglement;reduced density matrices;composite quantum systems;quantum chaos
train_946
Entanglement measures with asymptotic weak-monotonicity as lower (upper) bound
for the entanglement of cost (distillation) We propose entanglement measures with asymptotic weak-monotonicity. We show that a normalized form of entanglement measures with the asymptotic weak-monotonicity are lower (upper) bound for the entanglement of cost (distillation)
entanglement of cost;asymptotic weak-monotonicity;distillation;entanglement measures
train_947
The fully entangled fraction as an inclusive measure of entanglement
applications Characterizing entanglement in all but the simplest case of a two qubit pure state is a hard problem, even understanding the relevant experimental quantities that are related to entanglement is difficult. It may not be necessary, however, to quantify the entanglement of a state in order to quantify the qua...
teleportation;fully entangled fraction;two qubit pure state;fidelity;quantum cryptography;entanglement;quantum information processing;entanglement swapping
train_948
Pairwise thermal entanglement in the n-qubit (n <or= 5) Heisenberg XX chain
We have calculated the concurrence of the pairwise thermal entanglement for the four-qubit and five-qubit Heisenberg XX chain. It is found that there is a great difference between the even-qubit and the odd-qubit chain in the aspect of the critical temperature and of the existence of the entanglement for the case of th...
five-qubit heisenberg xx chain;four-qubit heisenberg xx chain;pairwise thermal entanglement;even-qubit chain;critical temperature;odd-qubit chain
train_949
Reply to "Comment on: Teleportation of an unknown state by W state" [Phys.
Lett. A 300 (2002) 324] In our letter (see ibid., vol. 296, p. 161 (2002)), the main question we consider is whether a general three-particle W state can be used to realize the teleportation of an unknown qubit state. We give the positive answer to this question in our letter, and show that W state can be used to reali...
teleportation;three-particle w state;qubit state;unknown state;probability calculation;normalization coefficient
train_95
SIA shelves T+1 decision till 2004
The Securities Industry Association has decided that a move to T+1 is more than the industry can handle right now. STP, however, will remain a focus
t+1;securities industry association;straight-through-processing
train_950
Quantum sensitive dependence
Wave functions of bounded quantum systems with time-independent potentials, being almost periodic functions, cannot have time asymptotics as in classical chaos. However, bounded quantum systems with time-dependent interactions, as used in quantum control, may have continuous spectrum and the rate of growth of observabl...
classical chaos;quantum complexity;classical lyapunov exponent;time-independent potentials;time-dependent interactions;operator matrix elements;periodic functions;quantum control;quantum sensitive dependence;wave functions;bounded quantum systems;time asymptotics
train_951
How to drive strategic innovation [law firms]
Innovation. It has everything to do with organization and attitude. Marginal improvement isn't enough anymore. Convert your problem-solving skills into a new value for the entire firm. 10 initiatives
change;strategic innovation;law firms;management;clients;experiments
train_953
Take it to the next level [law firm innovation]
It's called innovating. Our clients do it. Our culture worships it. Our future hinges on it. Why is it so difficult in law firms? How can we make it easier? Viva la difference!
law firms;innovation
train_954
Caring for your new lawyers
In any given year, a striking number of lawyers are in a state of flux, from newly minted law school graduates looking for their first job, to senior litigators migrating to new challenges with new firms. The one certainty is that lawyers new to any firm need care and feeding in myriad ways. All of them need to know an...
resources;firm's culture;new lawyers
train_955
From the DOS dog days to e-filing [law firms]
The poster child for a successful e-filing venture is the Case Management and Electronic Case File system now rolling through the district and bankruptcy courts. A project of the Administrative Office of the United States Courts, CM/ECF is a loud proponent of the benefits of the PDF approach and it has a full head of s...
pdf;adobe acrobat;united states courts;case management and electronic case file system;e-filing
train_956
Do you see what I see? [visual technology in law firms]
Think of how well-done computer presentations can aid in the learning experience. They are, however, less common in client meetings, settlement conferences and the courtroom. And you have to wonder why, when the same benefits of attention focus and visual learning apply in those legal communication settings. The softwa...
law firms;computer presentations;visual technology;powerpoint
train_957
A Blog in every law firm?
You don't know today what you'll want to know next year. Rather than trying to solve that problem, focus on providing simple tools to users that create valuable content across the firm. Individual contributions will be more visible, and you will have a searchable archive of your institutional memory and a simplified pr...
web site;law firm;institutional memory;weblogs
train_958
Efficient combinational verification using overlapping local BDDs and a hash
table We propose a novel methodology that combines local BDDs (binary decision diagrams) with a hash table for very efficient verification of combinational circuits. The main purpose of this technique is to remove the considerable overhead associated with case-by-case verification of internal node pairs in typical inte...
internal node pairs;bdd sizes;formal verification;cutsets;overlapping local bdds;internal equivalences;bdd manager;hash table;combinational verification;iscas85 benchmark circuits;binary decision diagrams;structural levels;combinational circuit verification;hard industrial circuits;heuristics;internal correspondence-ba...
train_959
Silicon debug of a PowerPC TM microprocessor using model checking
When silicon is available, newly designed microprocessors are tested in specially equipped hardware laboratories, where real applications can be run at hardware speeds. However, the large volumes of code being run, plus the limited access to the internal nodes of the chip, make it very difficult to characterize the nat...
model checking;circuit design error;hardware testing;verification methodologies;correctness specification;computation tree logic;powerpc microprocessor;circuit debugging;temporal logic
train_96
OMS battle heating up as Chicago Equity ousts LongView for Macgregor
Chicago Equity Partners LLC has gone into full production with Macgregor's Financial Trading Platform. This marks a concentrated effort to achieve straight-through processing
straight-through processing;longview;macgregor;financial trading platform;chicago equity partners
train_960
Bisimulation minimization and symbolic model checking
State space minimization techniques are crucial for combating state explosion. A variety of explicit-state verification tools use bisimulation minimization to check equivalence between systems, to minimize components before composition, or to reduce a state space prior to model checking. Experimental results on bisimul...
experimental results;state space minimization techniques;binary decision diagram;invariance properties;invariance verification;optimization;explicit-state verification tools;bisimulation minimization;state explosion;backwards reachability;symbolic model checking;bdd
train_961
Modular and visual specification of hybrid systems: an introduction to HyCharts
Visual description techniques are particularly important for the design of hybrid systems, because specifications of such systems usually have to be discussed between engineers from a number of different disciplines. Modularity is vital for hybrid systems not only because it allows to handle large systems, but also bec...
visual description techniques;visual specification;hycharts;hierarchic graphs;hybrid computation model;modular specification;hybrid systems;heterogeneous system specifications;statechart;formal specification;denotational semantics;components
train_962
Optimal control using the transport equation: the Liouville machine
Transport theory describes the scattering behavior of physical particles such as photons. Here we show how to connect this theory to optimal control theory and to adaptive behavior of agents embedded in an environment. Environments and tasks are defined by physical boundary conditions. Given some task, we compute a set...
optimal control;liouville machine;transport equation;physical particles;embedded agents;scattering behavior;adaptive behavior
train_963
A computational model of learned avoidance behavior in a one-way avoidance
experiment We present a computational model of learned avoidance behavior in a one-way avoidance experiment. Our model employs the reinforcement learning paradigm and a temporal-difference algorithm to implement both classically conditioned and instrumentally conditioned components. The role of the classically conditio...
reinforcement learning;reduced latency;internal clock;animal behavior;computational model;traditional two-process learning mechanism;proprioceptive feedback;temporal-difference algorithm;instrumentally conditioned components;classically conditioned components;one-way avoidance experiment;learned avoidance behavior
train_964
Modeling group foraging: individual suboptimality, interference, and a kind of
matching A series of agent-based models support the hypothesis that behaviors adapted to a group situation may be suboptimal (or "irrational") when expressed by an isolated individual. These models focus on two areas of current concern in behavioral ecology and experimental psychology: the "interference function" (whic...
group foraging;group situation;individual suboptimality;suboptimal behavior;interference function;multiple agents;focal forager;genetic algorithms;situated action;behavioral ecology;matching law;agent-based models;experimental psychology;spatially explicit environments;situated perception;isolated individual
train_965
Sliding mode control of chaos in the cubic Chua's circuit system
In this paper, a sliding mode controller is applied to control the cubic Chua's circuit system. The sliding surface of this paper used is one dimension higher than the traditional surface and guarantees its passage through the initial states of the controlled system. Therefore, using the characteristic of this sliding ...
cubic chua circuit system;chaos;state change;chattering;sliding mode control;mismatch disturbance;sliding surface;match disturbance
train_966
Controlling in between the Lorenz and the Chen systems
This letter investigates a new chaotic system and its role as a joint function between two complex chaotic systems, the Lorenz and the Chen systems, using a simple variable constant controller. With the gradual tuning of the controller, the controlled system evolves from the canonical Lorenz attractor to the Chen attra...
chen attractors;chen system;transition chaotic attractor;lorenz system;tuning;lorenz attractor
train_967
On the relationship between parametric variation and state feedback in chaos
control In this Letter, we study the popular parametric variation chaos control and state-feedback methodologies in chaos control, and point out for the first time that they are actually equivalent in the sense that there exist diffeomorphisms that can convert one to the other for most smooth chaotic systems. Detailed ...
rossler system;state-feedback;continuous flows;diffeomorphisms;logistic;henon map;lorenz system;parametric variation;chaos control
train_968
Stabilization of global invariant sets for chaotic systems: an energy based
control approach This paper presents a new control approach for steering trajectories of three-dimensional nonlinear chaotic systems towards stable stationary states or time-periodic orbits. The proposed method mainly consists in a sliding mode-based control design that is extended by an explicit consideration of syste...
time-periodic orbits;sliding mode-based control;stable stationary states;three-dimensional nonlinear chaotic systems;chua's circuit;global invariant sets;energy based sliding mode control
train_969
Controlled projective synchronization in nonpartially-linear chaotic systems
Projective synchronization (PS), in which the state vectors synchronize up to a scaling factor, is usually observable only in partially linear systems. We show that PS could, by means of control, be extended to general classes of chaotic systems with nonpartial linearity. Performance of PS may also be manipulated by co...
rossler system;projective synchronization;hyperchaotic system;chua's circuit;scaling factor;nonpartially-linear chaotic systems;control
train_97
Philadelphia stock exchange taps TimesTen for database technology
PHLX rolls out Equity Options AutoQuote System to traders as the first application to leverage its enhanced data architecture
data architecture;timesten;philadelphia stock exchange;equity options autoquote system
train_970
Complex dynamics in nearly symmetric three-cell cellular neural networks
The paper introduces a class of third-order nonsymmetric Cellular Neural Networks (CNNs), and shows through computer simulations that they undergo a cascade of period doubling bifurcations which leads to the birth of a large-size complex attractor. A major point is that these bifurcations and complex dynamics happen in...
neuron interconnection matrix;stable limit cycles;nearly symmetric three-cell cellular neural networks;robustness;period doubling bifurcations;symmetric interconnection matrix;perturbations;complete stability;complex dynamics;large-size complex attractor;differential equations;cnn
train_971
Homogenization in L/sup infinity /
Homogenization of deterministic control problems with L/sup infinity / running cost is studied by viscosity solutions techniques. It is proved that the value function of an L/sup infinity / problem in a medium with a periodic micro-structure converges uniformly on the compact sets to the value function of the homogeniz...
optimal control;homogenization;value function;calculus of variations;cell problem;deterministic control;convergence;averaging;l/sup infinity / running cost
train_972
VoIP: leveraging existing cable architecture
As operators prepare to enter the voice-over-IP fray, they are searching for ways to leverage their existing two-way, interactive infrastructure. There are several approaches for supporting VoIP on top of the core IP transport network. The one garnering the most interest, especially in the United States, is based on th...
voip;packetcable 1.x architecture;core ip transport network;two-way interactive infrastructure;cable architecture;voice-over-ip;united states;packetcable-based approach
train_973
Time-integration of multiphase chemistry in size-resolved cloud models
The existence of cloud drops leads to a transfer of chemical species between the gas and aqueous phases. Species concentrations in both phases are modified by chemical reactions and by this phase transfer. The model equations resulting from such multiphase chemical systems are nonlinear, highly coupled and extremely st...
multiphase chemical systems;chemical species;approximate matrix factorization;sparse jacobians;cloud drops;time-integration schemes;aqueous phase chemistry;multiphase chemistry;size-resolved cloud models;gas phase chemistry;air pollution modelling;linear algebra;operator splitting;chemical reactions
train_974
Extrapolation in Lie groups with approximated BCH-formula
We present an extrapolation algorithm for the integration of differential equations in Lie groups which is a suitable generalization of the well-known GBS-algorithm for ODEs. Sufficiently accurate approximations to the BCH-formula are required to reach a given order. We give such approximations with a minimized number ...
geometric integration;extrapolation methods;approximated bch-formula;differential equations;lie groups;gbs-algorithm
train_975
Algebraic conditions for high-order convergent deferred correction schemes
based on Runge-Kutta-Nystrom methods for second order boundary value problems In [T. Van Hecke, M. Van Daele, J. Comp. Appl. Math., vol. 132, p. 107-125, (2001)] the investigation of high-order convergence of deferred correction schemes for the numerical solution of second order nonlinear two-point boundary value probl...
second order boundary value problems;high-order convergent deferred correction schemes;second order nonlinear two-point boundary value problems;runge-kutta-nystrom methods;algebraic conditions;deferred correction schemes;taylor series expansions
train_976
Completion to involution and semidiscretisations
We discuss the relation between the completion to involution of linear over-determined systems of partial differential equations with constant coefficients and the properties of differential algebraic equations obtained by their semidiscretisation. For a certain class of "weakly over-determined" systems, we show that t...
constant coefficients;differential algebraic equations;strongly hyperbolic systems;matrices;partial differential equations;semidiscretisations;involution;linear over-determined systems;index;uniqueness theorem;completion
train_977
Behavior of Runge-Kutta discretizations near equilibria of index 2 differential
algebraic systems We analyze Runge-Kutta discretizations applied to index 2 differential algebraic equations (DAE's) near equilibria. We compare the geometric properties of the numerical and the exact solutions. It is shown that projected and half-explicit Runge-Kutta methods reproduce the qualitative features of the c...
cut-off techniques;geometric properties;equilibria;index 2 differential algebraic systems;half-explicit runge-kutta methods;discretized ordinary differential equations;continuous system;invariant manifold;scaling techniques;runge-kutta discretizations
train_978
On Implicit Euler for high-order high-index DAEs
The Implicit Euler method is seldom used to solve differential-algebraic equations (DAEs) of differential index r >or= 3, since the method in general fails to converge in the first r - 2 steps after a change of stepsize. However, if the differential equation is of order d = r - 1 >or= 1, an alternative variable-step ve...
variable-order formulas;variable-step method;backward differentiation formula;initial value problem;linear multistep method;convergence;differential index;differential-algebraic equations;stepsize change;implicit euler method
train_979
Design, analysis and testing of some parallel two-step W-methods for stiff
systems Parallel two-step W-methods are linearly-implicit integration methods where the s stage values can be computed in parallel. We construct methods of stage order q = s and order p = s with favourable stability properties. Generalizations for the concepts of A- and L-stability are proposed and conditions for stiff...
stage order;krylov-techniques;linearly-implicit integration methods;shared memory computer;parallel two-step w-methods;convergence analysis;differential equations;stability;large stiff systems
train_98
Automating the compliance and supervision process
New technology enables large broker/dealers to supervise and ensure compliance across multiple branches and managers
supervision;compliance;brokers;risk management
train_980
Convergence of Runge-Kutta methods for nonlinear parabolic equations
We study time discretizations of fully nonlinear parabolic differential equations. Our analysis uses the fact that the linearization along the exact solution is a uniformly sectorial operator. We derive smooth and nonsmooth-data error estimates for the backward Euler method, and we prove convergence for strongly A (v)-...
nonlinear parabolic differential equations;runge-kutta method convergence;nonsmooth-data error estimates;data error estimates;backward euler method;linearization;time discretizations;uniformly sectorial operator
train_981
Basin configuration of a six-dimensional model of an electric power system
As part of an ongoing project on the stability of massively complex electrical power systems, we discuss the global geometric structure of contacts among the basins of attraction of a six-dimensional dynamical system. This system represents a simple model of an electrical power system involving three machines and an in...
six-dimensional model;attractors;power system stability;global map;state space;infinite bus;pathological states;basin configuration;electric power system;global geometric structure;massively complex electrical power systems
train_982
Abundance of mosaic patterns for CNN with spatially variant templates
This work investigates the complexity of one-dimensional cellular neural network mosaic patterns with spatially variant templates on finite and infinite lattices. Various boundary conditions are considered for finite lattices and the exact number of mosaic patterns is computed precisely. The entropy of mosaic patterns ...
spatial entropy;finite lattices;cnn;one-dimensional cellular neural network;infinite lattices;mosaic patterns;boundary conditions;spatially variant templates;transition matrix
train_983
Limitations of delayed state feedback: a numerical study
Stabilization of a class of linear time-delay systems can be achieved by a numerical procedure, called the continuous pole placement method [Michiels et al., 2000]. This method can be seen as an extension of the classical pole placement algorithm for ordinary differential equations to a class of delay differential equa...
delay differential equations;static state feedback;linear time-delay systems;delayed state feedback;numerical continuation;continuous pole placement method
train_984
Bistability of harmonically forced relaxation oscillations
Relaxation oscillations appear in processes which involve transitions between two states characterized by fast and slow time scales. When a relaxation oscillator is coupled to an external periodic force its entrainment by the force results in a response which can include multiple periodicities and bistability. The prot...
harmonically driven stoker-haag piecewise discontinuous equation;external periodic force;harmonically forced relaxation oscillations;bistability;control parameter space;entrainment;nonlinear dynamics;van der pol equation
train_985
Local activity criteria for discrete-map CNN
Discrete-time CNN systems are studied in this paper by the application of Chua's local activity principle. These systems are locally active everywhere except for one isolated parameter value. As a result, nonhomogeneous spatiotemporal patterns may be induced by any initial setting of the CNN system when the strength of...
chua's local activity principle;spiral wave reproducing map cnn;local activity criteria;nonhomogeneous spatiotemporal patterns;period-doubling;logistic map cnn;difference equation;magnetic vortex pinning map cnn;critical coupling coefficient;discrete-time cnn systems;loaded cell impedance;discrete-map cnn
train_986
Wavelet-based level-of-detail representation of 3D objects
In this paper, we propose a 3D object LOD (Level of Detail) modeling system that constructs a mesh from range images and generates the mesh of various LOD using the wavelet transform. In the initial mesh generation, we use the marching cube algorithm. We modify the original algorithm to apply it to construct the mesh f...
range images;wavelet coefficients;hierarchy transformation;marching cube algorithm;surface crease problem;decimation algorithm;wavelet transform;3d object level of detail modeling system;critical problem;mesh simplification;wavelet-based level-of-detail representation;base mesh
train_987
Proof that the election problem belongs to NF-completeness problems in
asynchronous distributed systems This paper is about the hardness of the election problem in asynchronous distributed systems in which processes can crash but links are reliable. The hardness of the problem is defined with respect to the difficulty to solve it despite failures. It is shown that problems encountered in ...
not-fault-tolerant problems;distributed computing;nf-completeness problems;fault-tolerant problems;failure detectors;asynchronous distributed systems;leader election;election problem
train_988
A new merging algorithm for constructing suffix trees for integer alphabets
A new approach for constructing a suffix tree T/sub s/ for a given string S is to construct recursively a suffix tree T/sub o/ for odd positions, construct a suffix, tree T/sub e/ for even positions from T/sub o/ and then merge T/sub o/ and T/sub e/ into T/sub s/. To construct suffix trees for integer alphabets in line...
linear time;integer alphabets;recursive construction;coupled bfs;index data structures;suffix trees;breadth-first search;merging algorithm
train_989
A dynamic checkpoint scheduling scheme for fault tolerant distributed computing
systems The selection of the optimal checkpointing interval has been a very critical issue in implementing checkpointing-recovery schemes for fault tolerant distributed systems. This paper presents a new scheme that allows a process to select the proper checkpointing interval dynamically. A process in the system evalua...
optimal checkpointing interval;communication pattern;distributed computing systems;rollback recovery;dynamic checkpoint scheduling scheme;cost evaluation;fault tolerant computing
train_99
Radianz and Savvis look to expand service in wake of telecom scandals [finance]
With confidence in network providers waning, Radianz and Savvis try to prove their stability. Savvis and Radianz, which both specialize in providing the data-extranet components of telecommunication infrastructures, may see more networking doors open at investment banks, brokerage houses, exchanges and alternative-trad...
network providers;radianz;data-extranet;alternative-trading systems;telecommunication infrastructures;brokerage houses;investment banks;savvis;exchanges
train_990
Pipelined broadcast with enhanced wormhole routers
This paper proposes a pipelined broadcast that broadcasts a message of size m in O(m+n-1) time in an n-dimensional hypercube. It is based on the replication tree, which is derived from reachable sets. It has greatly improved performance compared to Ho-Kao's (1995) algorithm with the time of O(m[n/log(n+1)]). The commun...
pipelined broadcast;replication tree;performance;enhanced wormhole routers;message broadcast;intermediate reception;all-port wormhole router;reachable sets;n-dimensional hypercube;communication complexity;message replication capability
train_991
Estimation of blocking probabilities in cellular networks with dynamic channel
assignment Blocking probabilities in cellular mobile communication networks using dynamic channel assignment are hard to compute for realistic sized systems. This computational difficulty is due to the structure of the state space, which imposes strong coupling constraints amongst components of the occupancy vector. Ap...
importance sampling;standard clock method;quality of service;dynamic channel assignment;strong coupling constraints;blocking probability estimation;approximate tractable models;simulation;bounded relative error;dynamic issc method;single clique models;low-load;high cell capacity;product form stationary state distributi...
train_992
Cross-entropy and rare events for maximal cut and partition problems
We show how to solve the maximal cut and partition problems using a randomized algorithm based on the cross-entropy method. For the maximal cut problem, the proposed algorithm employs an auxiliary Bernoulli distribution, which transforms the original deterministic network into an associated stochastic one, called the a...
rare event simulation;importance sampling;numerical results;randomized algorithm;combinatorial optimization;deterministic network;polynomial complexity;cross entropy method;maximal cut problems;random cuts;partition problems;probability;bernoulli distribution;associated stochastic network
train_993
A large deviations analysis of the transient of a queue with many Markov fluid
inputs: approximations and fast simulation This article analyzes the transient buffer content distribution of a queue fed by a large number of Markov fluid sources. We characterize the probability of overflow at time t, given the current buffer level and the number of sources in the on-state. After scaling buffer and b...
transient buffer content distribution;approximations;importance sampling;buffer resources;simulation methods;bandwidth resources;markov fluid inputs;queuing theory;computational complexity;transient overflow probability;large deviations analysis;atm multiplexers;ip routers
train_994
Design and implementation of a flexible manufacturing control system using
neural network Design and implementation of a sequential controller based on the concept of artificial neural networks for a flexible manufacturing system are presented. The recurrent neural network (RNN) type is used for such a purpose. Contrary to the programmable controller, an RNN-based sequential controller is bas...
recurrent neural network;sequential control;learning;pneumatic system;noisy inputs;fms;flexible manufacturing systems;elman network;programmable controller;ladder language;finite state automata
train_995
Vehicle travel time models for AGV systems under various dispatching rules
The design and evaluation of AGV-based material handling systems are highly complex because of the randomness and the large number of variables involved. Vehicle travel time is a fundamental parameter for solving various flexible manufacturing system (FMS) design problems. This article presents stochastic vehicle trave...
vehicle dispatching rules;longest idle vehicle selection rule;material handling systems;automatic guided vehicle;fms;agv;nearest vehicle selection rule;vehicle travel time;flexible manufacturing system
train_996
Flexible air-jet tooling for vibratory bowl feeder systems
Vibratory bowl feeders (VBFs) are machines that feed various small parts in large volume automatic assembly systems. Their shortcomings, like inflexibility and the propensity to jam, stem from the use of mechanical orienting devices. Air jet based orienting devices can be implemented to overcome these limitations. Appl...
passive air jet;active air jet;parts feeding;orienting devices;automatic assembly systems;vibratory bowl feeders
train_997
Production capacity of flexible manufacturing systems with fixed production
ratios Determining the production capacity of flexible manufacturing systems is a very important issue in the design of such systems. We propose an approach for determining the production capacity (i.e. the maximum production rate) of a flexible manufacturing system with several part types, dedicated pallets, and fixed...
iterative procedure;approximate analytical techniques;single parameter determination;fixed production ratios;dedicated pallets;simulation;multiple part type;building block performance evaluation technique;maximum production rate;numerical experiments;flexible manufacturing systems;stability condition;production capacit...
train_998
Discreteness and relevance: a reply to Roman Poznanski
In reply to Poznanski (see ibid., p.435, 2002) on discreteness and relevance, Eliasmith claims that all of the concerns voiced by Poznanski in his reply fail to offer a serious challenge to the idea that continuity is irrelevant to a good understanding of cognitive systems. Eliasmith hopes that it is evident that he do...
neural systems;relevance;discreteness;cognitive systems;continuity
train_999
The importance of continuity: a reply to Chris Eliasmith
In his reply to Eliasmith (see ibid., vol.11, p.417-26, 2001) Poznanski considers how the notion of continuity of dynamic representations serves as a beacon for an integrative neuroscience to emerge. He considers how the importance of continuity has come under attack from Eliasmith (2001) who claims: (i) continuous nat...
uncertainty;integrative neuroscience;spike trains;dynamic representations;neurons;cognition;neural nets;cognitive systems;continuity;spike arrival times