BibSonomy publications for /tag/modeSun Aug 31 18:03:07 CEST 2008Research Policy2109-123The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government relations292000/2University–industry–government Innovation 2; relations; Triple Mode helix; The Triple Helix of university–industry–government relations is compared with alternative models for explaining the current research system in its social contexts. Communications and negotiations between institutional partners generate an overlay that increasingly reorganizes the underlying arrangements. The institutional layer can be considered as the retention mechanism of a developing system. For example, the national organization of the system of innovation has historically been important in determining competition. Reorganizations across industrial sectors and nation states, however, are induced by new technologies (biotechnology, ICT). The consequent transformations can be analyzed in terms of (neo-)evolutionary mechanisms. University research may function increasingly as a locus in the “laboratory” of such knowledge-intensive network transitions.Tue Aug 12 02:17:28 CEST 2008NIST Modes Operation Symmetric Key Block CiphersThe Galois/counter mode of operation (GCM)2005bcm mode stream nist Tue Aug 12 01:15:56 CEST 2008In Fast Software Encryption 2004The EAX mode of operation: A two-pass authenticated-encryption scheme optimized for simplicity and efficiency2004mac mode encryption bcm stream Thu Jun 19 17:35:00 CEST 2008IEEE Transactions on Semiconductor ManufacturingFebruary186--93Yield enhancement in photolithography through model-based process control: average mode control182005predictive implementation, setpoint modelling algorithms, electron simulated regulatory enhancement empirical microscopy, PROLITH model manufacture, semiconductor fabrication photolithography, genetic process package, control values, nonlinear models, structure, optimal mode parameters, control, feedback integrated strategy, average programming, KLA-Tencor-FINLE scanning circuit facility yield multivariable controller, based inputs, systems, stepper This work describes the fabrication facility (FAB) implementation of a multivariable nonlinear model predictive controller (NMPC) for the regulation of critical dimensions (CD) in photolithography. The controller is based on nonlinear empirical models relating the stepper inputs, exposure dose and focus on the isolated and dense CDs measured by scanning electron microscopy. Since the adjustments are made on the basis of the average value of five measured points in each wafer, this is referred to as average mode control. The optimal structure and parameters of these empirical models were determined by genetic programming, to closely match FAB data. The tuning and testing of the NMPC regulator were facilitated by the use of a simulated photolithography track, using the KLA-Tencor-FINLE PROLITH package, suitably calibrated to match FAB conditions. On implementation in the FAB, the NMPC has been demonstrated to consistently maintain the CDs close to their setpoint values, despite unmeasured disturbances such as shifts in uncontrolled inputs. It was also shown that adopting the multivariable feedback regulatory strategy to regulate the CDs results in significant improvements in the die yield.Wed Apr 23 22:05:04 CEST 2008Signal ProcessingOct3301--308Mode detector of SSB radio131987Mode detection Wed Apr 23 22:05:04 CEST 2008Statistics \& Probability LettersMay2141--152Bump hunting in regression analysis141992Mode 27Wed Apr 23 22:05:04 CEST 2008Statistics \& Probability LettersJun2145--152A new estimate of the mode based on the quantile density431999of the mode Estimation 15Wed Apr 23 22:05:04 CEST 2008Signal ProcessingOct101999--2015Burst mode equalization: optimal approach and suboptimal continuous-processing approximation802000mode Burst equalization Wed Apr 23 22:05:04 CEST 2008Statistics \& Probability LettersAug4367--373Tailweight with respect to the mode for unimodal distributions281996Mode Tue Apr 22 15:17:45 CEST 2008Journal of International EconomicsMar2417--432Mode of entry mode into a foreign market: the case of U.S. mutual funds in Canada622004mode Entry Tue Apr 22 10:36:30 CEST 2008Physica A: Statistical Mechanics and its ApplicationsJun1-4348--360Genesis, selected applications, and future prospects of the mode coupling theory2812000Mode coupling 15Tue Apr 22 10:36:30 CEST 2008Physica A: Statistical and Theoretical PhysicsJun1-2185--195Who runs fastest in an adaptive landscape: sexual versus asexual reproduction3372004of reproduction Mode 01Tue Apr 22 10:36:30 CEST 2008Physica A: Statistical and Theoretical PhysicsOct1-249--98Mode competition in a system of two parametrically driven pendulums with nonlinear coupling2451997Mode competition 15Tue Apr 22 10:36:30 CEST 2008Physica A: Statistical and Theoretical PhysicsDec1-4281--311Mode competition in a system of two parametrically driven pendulums; the role of symmetry2471997Mode competition 15Mon Apr 21 22:09:52 CEST 2008Economics LettersOct1142--149Statistical inference as a bargaining game932006Posterior mode Sun Mar 02 12:33:51 CET 2008Europa AlmanachEuropa Almanach1925/1984film Plastik architecture Malerei germanistik Bühne Bibliothek1 Mode Literatur Musik Sun Mar 02 02:12:02 CET 2008New YorkModern Kinematics : Developments in the last forty years1993MODE 621.811 Wed Jun 20 10:16:09 CEST 2007Genova, ItalyAbstract Book of the XXIII IUPAP International Conference on Statistical Physics9-13 JulyExtraction of buried signals from an Ikeda-type microwave system via empirical mode decomposition2007empirical decomposition mode encryption statphys23 microwave topic-5 Secure communications using chaotic waveforms has became a particular application of nonlinear dynamics appeared at the beginning of 1990s. For example, electronic circuits modeled by nonlinear ordinary differential equations were used very often for the generation of chaotic dynamics, however, the encryption efficiency of these electronic setups is limited by the embedded low-dimensional complexity. Recently, Ikeda-type delay dynamics (DD) has shown to be an outstanding candidate for chaos-based encryption in modern high speed optical telecommunications. It is known that the unique feature of DD is to exhibit extremely complex chaotic behaviours, which can be quantified in terms of Lyapunov spectrum of a given chaotic regime in a reconstructed phase space of finite dimension, and finally a Lyapunov dimension is derived. Dorizzi et al. had shown that the Lyapunov dimension has linear dependence with the ratio $T/\tau$, where $\tau$ is a characteristic response time and $T$ is the delay time. Larger et al. experimentally demonstrated a high masking efficiency in Ikeda-type optoelectronics intended for practical applications, where the Lyapunov dimension can be up to 470 when $T/\tau$ equals 60. Chaos synchronization is widely used for the encoding and decoding technique, in which the output of the receiver replicates the same chaotic waveform as that in the emitter. However, the decoding quality is strongly relied on matching conditions between the emitter and receiver elements. Thus, it would be interesting to ask that {\em Is there a possible way to directly extract message from high-complexity encoded signals?}. In this study, empirical mode decomposition developed by Huang et al. is employed to decode message from an Ikeda-type microwave system. Under considerations of the high-dimensional chaos encryption as well as the high masking efficiency, it is shown that a meaningful data set embedded in chaotic fluctuations can be directly filtered out in a reasonable way. Our approach is quite different from the well-known encoding/decoding technique by use of chaos synchronization. Furthermore, our satisfactory results suggest that empirical mode decomposition can be generally applied to data mining in various systems.Wed Jun 20 10:16:09 CEST 2007Genova, ItalyAbstract Book of the XXIII IUPAP International Conference on Statistical Physics9-13 JulyExtraction of buried signals from an Ikeda-type microwave system via empirical mode decomposition2007microwave empirical decomposition statphys23 topic-5 encryption mode Secure communications using chaotic waveforms has became a particular application of nonlinear dynamics appeared at the beginning of 1990s. For example, electronic circuits modeled by nonlinear ordinary differential equations were used very often for the generation of chaotic dynamics, however, the encryption efficiency of these electronic setups is limited by the embedded low-dimensional complexity. Recently, Ikeda-type delay dynamics (DD) has shown to be an outstanding candidate for chaos-based encryption in modern high speed optical telecommunications. It is known that the unique feature of DD is to exhibit extremely complex chaotic behaviours, which can be quantified in terms of Lyapunov spectrum of a given chaotic regime in a reconstructed phase space of finite dimension, and finally a Lyapunov dimension is derived. Dorizzi et al. had shown that the Lyapunov dimension has linear dependence with the ratio $T/\tau$, where $\tau$ is a characteristic response time and $T$ is the delay time. Larger et al. experimentally demonstrated a high masking efficiency in Ikeda-type optoelectronics intended for practical applications, where the Lyapunov dimension can be up to 470 when $T/\tau$ equals 60. Chaos synchronization is widely used for the encoding and decoding technique, in which the output of the receiver replicates the same chaotic waveform as that in the emitter. However, the decoding quality is strongly relied on matching conditions between the emitter and receiver elements. Thus, it would be interesting to ask that {\em Is there a possible way to directly extract message from high-complexity encoded signals?}. In this study, empirical mode decomposition developed by Huang et al. is employed to decode message from an Ikeda-type microwave system. Under considerations of the high-dimensional chaos encryption as well as the high masking efficiency, it is shown that a meaningful data set embedded in chaotic fluctuations can be directly filtered out in a reasonable way. Our approach is quite different from the well-known encoding/decoding technique by use of chaos synchronization. Furthermore, our satisfactory results suggest that empirical mode decomposition can be generally applied to data mining in various systems.Wed Jun 20 10:16:09 CEST 2007Genova, ItalyAbstract Book of the XXIII IUPAP International Conference on Statistical Physics9-13 JulyLocal hydrophobicity in protein folding: Theoretical model and experimental test with staphylococcal nuclease and its mutants2007statphys23 nuclease staphylococcal empirical local topic-10 mode folding decomposition three-stages hydrophobicity model The local hydrophobicity (LHP) around a residue defined as the sum of hydrophobicity (HP) values of residues surrounding the residue within a specified distance was calculated based on the structure of staphylococcal nuclease (SNase) in the Protein Data Bank. The three-stages (nucleation, assembly, and stabilization) folding model was assumed to investigate the effects of LHP in the folding of SNase. Based on the correlation between HP and LHP, we formulated the correlation coefficient between LHP and secondary structure at each residue to estimate the percentage contents of secondary structures from changes of LHPs in mutants. The estimations are qualitatively and quantitatively consistent with those from Circular Dichroism measurements on mutants W140A (Tryptophan at 140 is replaced by Alanine), F61W/W140A, Y93W/W140A and E75G.modeCommunity for tag(s) mode