Real-time Configuration Research Articles

Mass Customization Management in E-Commerce Configuration with early Supplier Involvement

In terms of transforming supply chain into integrated value systems, the benefits of Early Supplier Involvement (ESI) in product development have been widely accepted. As far as variety management and online configuration are concerned, the difficulties of ESI in online mass customization manifest themselves through two main aspects: (1) Support the seamless information integration with respect to its high variety and large volume not only among internal functions but also with external suppliers; (2) Support real-time online configuration for product configuration generation and optimization based on customer requirements and supplier capabilities. Accordingly, this work proposes two potential solutions. PFA-based integrated information model is established to synchronize the PFA generic structure and supplier product information.

Real-Time Phase Difference Control of Optical Beams Using a Mach–Zehnder Interferometer

We present an experimental scheme for fast phase difference control of optical beams based on a simple, however robust setup of Mach–Zehnder interferometer. We demonstrate to smoothly tune the relative phase by 140° in 275 ms, with an average peak-to-peak phase difference jitter less than 0.9°. The overall achievable tuning range, both for continuous and stepwise scans, can be more than 320°. This scheme is totally immune to intensity fluctuation and allows to engage the conventional phase-shifting imaging. It is especially suitable for real-time configuration control of 2D and 3D optical lattice potentials to study the tunneling and transport effects on cold atomic samples.

A Proposal of Real-Time Configuration Control System for Redundant Manipulators

This paper is concerned with a real-time control system of trajectory tracking and obstacle avoidance using an avoidance manipulability measure for redundant manipulators. To perform the tasks adaptively without path-planning, information on the local environment is naturally restricted by limited recognition time. This means an adaptive configuration control has to manage its shape in real-time and without adequate information on its surroundings. Therefore, when the manipulator executes a task adaptively in a dynamic environment, its avoidance manipulability should always be maintained as high as possible to prepare for sudden avoiding. As a measure for gauging avoidance manipulability, we first propose a new index, “AMSIP.” By combining a concept of ”preview control” with real-time optimization of AMSIP distribution found by “1-step GA,” we next propose a new configuration control method, with future information being referred locally but effectively. The proposed system has been evaluated in simulations in terms of real-time configuration optimization, and the complete system has been proved to be feasible and practical.

回避能力評価指標ＡＭＳＩＰに基づく冗長マニピュレータの実時間形状最適化制御

This paper is concerned with trajectory tracking and obstacle avoidance control using avoidance manipulability of redundant manipulators. We have proposed a new manufacturing system using robot to deal with object with unknown shape by combining an avoidance control system and preview control system. However, through analyses and simulation studies it develops that the shape of redundant manipulator was not always kept to the best configuration on the view point of shape-changing ability. In this paper we propose a new criterion to evaluate the shape-changing ability in the configuration space while tracking the hand-desired trajectory. Using this criterion we constructed real-time configuration control system with preview evaluation by introducing imaginary manipulator in future time. Finally the proposed system was evaluated by several simulations on the point of real-time configuration optimization, and the feasibility of total system was analyzed.

A meteo-hydrological prediction system based on a multi-model approach for precipitation forecasting

Abstract. The precipitation forecasted by a numerical weather prediction model, even at high resolution, suffers from errors which can be considerable at the scales of interest for hydrological purposes. In the present study, a fraction of the uncertainty related to meteorological prediction is taken into account by implementing a multi-model forecasting approach, aimed at providing multiple precipitation scenarios driving the same hydrological model. Therefore, the estimation of that uncertainty associated with the quantitative precipitation forecast (QPF), conveyed by the multi-model ensemble, can be exploited by the hydrological model, propagating the error into the hydrological forecast. The proposed meteo-hydrological forecasting system is implemented and tested in a real-time configuration for several episodes of intense precipitation affecting the Reno river basin, a medium-sized basin located in northern Italy (Apennines). These episodes are associated with flood events of different intensity and are representative of different meteorological configurations responsible for severe weather affecting northern Apennines. The simulation results show that the coupled system is promising in the prediction of discharge peaks (both in terms of amount and timing) for warning purposes. The ensemble hydrological forecasts provide a range of possible flood scenarios that proved to be useful for the support of civil protection authorities in their decision.

Channel adaptive multiple I/O protocol for mixed wireless and wired channels

The presence and availability of several independent wired and wireless networks within a communication environment has led to the channel adaptive multiple I/O (CAMIO) protocol being developed as an appropriate and novel technique for data transmission. The proposed system utilises an intelligent multiplexing technique that enables the transmission/reception of multiple data sources via several wired/wireless networks simultaneously. Real-time configuration and adaptation capabilities when data sources/channels are dynamically added/deleted/modified are described. Data prioritisation methods, combined with traffic control and congestion-reactive techniques, are presented. Simulation results demonstrate that the use of the CAMIO protocol over multiple transmission/reception channels increases the overall data transmission rate, handles the delivery of time-sensitive packets and maintains the quality of service, especially in situations where one or more communication channels fail to operate.

The hydro-meteorological chain in Piemonte region, North Western Italy - analysis of the HYDROPTIMET test cases

Abstract. The HYDROPTIMET Project, Interreg IIIB EU program, is developed in the framework of the prediction and prevention of natural hazards related to severe hydro-meteorological events and aims to the optimisation of Hydro-Meteorological warning systems by the experimentation of new tools (such as numerical models) to be used operationally for risk assessment. The objects of the research are the mesoscale weather phenomena and the response of watersheds with size ranging from 102 to 103 km2. Non-hydrostatic meteorological models are used to catch such phenomena at a regional level focusing on the Quantitative Precipitation Forecast (QPF). Furthermore hydrological Quantitative Discharge Forecast (QDF) are performed by the simulation of run-off generation and flood propagation in the main rivers of the territory. In this way observed data and QPF are used, in a real-time configuration, for one-way forcing of the hydrological model that works operationally connected to the Piemonte Region Alert System. The main hydro-meteorological events that affected Piemonte Region in the last years are analysed, these are the HYDROPTIMET selected test cases of 14–18 November 2002 and 23–26 November 2002. The results obtained in terms of QPF and QDF offer a basis to evaluate the sensitivity of the whole hydro-meteorological chain to the uncertainties in the numerical simulations. Different configurations of non-hydrostatic meteorological models are also evaluated.

Evaluation of the hydro-meteorological chain in Piemonte Region, north western Italy - analysis of two HYDROPTIMET test cases

Abstract. The HYDROPTIMET Project, Interreg IIIB EU program, is developed in the framework of the prediction and prevention of natural hazards related to severe hydro-meteorological events and aims to the optimisation of Hydro-Meteorological warning systems by the experimentation of new tools (such as numerical models) to be used operationally for risk assessment. The object of the research are the Mesoscale weather phenomena and the response of watersheds with size ranging from 102 to 103 km2. Non-hydrostatic meteorological models are used to catch such phenomena at a regional level focusing on the Quantitative Precipitation Forecast (QPF). Furthermore hydrological Quantitative Discharge Forecast (QDF) are performed by the simulation of run-off generation and flood propagation in the main rivers of the interested territory. In this way observed data and QPF are used, in a real-time configuration, for one-way forcing of the hydrological model that works operationally connected to the Piemonte Region Alert System. The main hydro-meteorological events that interested Piemonte Region in the last years are studied, these are the HYDROPTIMET selected test cases of 14-18 November 2002 and 23-26 November 2002. The results obtained in terms of QPF and QDF offer a sound basis to evaluate the sensitivity of the whole hydro-meteorological chain to the uncertainties in the numerical simulations. Different configurations of non-hydrostatic meteorological models are also analysed.

Modelling a variable valve timing spark ignition engine using different neural networks

In this paper different neural networks (NN) are compared for modelling a variable valve timing spark-ignition (VVT SI) engine. The overall system is divided for each output into five neural multi-input single output (MISO) subsystems. Three kinds of NN, multilayer Perceptron (MLP), pseudo-linear radial basis function (PLRBF), and local linear model tree (LOLIMOT) networks, are used to model each subsystem. Real data were collected when the engine was under different operating conditions and these data are used in training and validation of the developed neural models. The obtained models are finally tested in a real-time online model configuration on the test bench. The neural models run independently of the engine in parallel mode. The model outputs are compared with process output and compared among different models. These models performed well and can be used in the model-based engine control and optimization, and for hardware in the loop systems.

Evaluation of a novel high-throughput assay for cytochrome P450 2D6 using 7-methoxy-4-(aminomethyl)-coumarin

We recently reported on the design, synthesis and characterisation of a novel and selective substrate of human cytochrome P450 2D6 (CYP2D6), 7-methoxy-4-(aminomethyl)-coumarin (MAMC). Here, we describe a high-throughput microplate reader assay, which makes use of MAMC as a fluorescent probe for determining the inhibition and activity of CYP2D6 in heterologously expressed systems and human liver microsomes. The high-throughput screening (HTS) assay can be used both in an end-point and real-time configuration, and is easy to use, rapid and sensitive. In addition, end-point measurements by means of flow injection analysis have also successfully been performed. The HTS-assay was validated by performing inhibition experiments for several low- and high-affinity ligands ( n=6) of CYP2D6, and comparing the findings to those obtained with the standard O-demethylation assay of dextromethorphan. The results indicate that all compounds tested display competitive inhibition in both the MAMC and dextromethorphan assay, and the K i values reveal a very good correlation ( R 2=0.984) between the two assays. To further demonstrate the usefulness of the HTS-assay, IC 50 values of a series of five N-substituted analogs of 3,4-methylenedioxyamphetamine for CYP2D6 have been determined. The results obtained demonstrate that the current HTS-assay represents a significant improvement over previous assays, with a higher turnover of MAMC and a higher selectivity for CYP2D6.

Two Real-Time Flow Controls in Wormhole Networks

In this paper, we study wormhole routed networks and envision their suitability for real-time traffic in a priority-driven paradigm. A traditional blocking flow control in wormhole routing may lead to a priority inversion in the sense that high priority packets are blocked by low priority packets for unlimited time. The priority inversion causes the frequent deadline missing even at a low network load. This paper therefore proposes two preemptive flow control policies where high priority packets can preempt network resources held by low priority packets. As a result, the proposed flow controls can resolve the priority inversion. Our simulations show that preemptive flow controls significantly reduce deadline miss ratios for various real-time traffic configurations.

Real-time hologram recording in SeGe films

Hologram characteristics of Se(1-x)Ge(x) (x = 0, 3,5,8, 12 wt.%) films were determined in real-time configuration. Parameters such as film thickness, composition, and exposure power influencing the diffraction efficiency were also studied. The maximum value of the diffraction efficiency achieved was 3.2% with 91.0-mW/cm(2) power in films alloyed with 3% Ge. Microstructural changes before and after the exposure were determined using transmission electron microscopy.

Real-time holography with undeveloped dichromated gelatin films

Holographic characteristics of undeveloped dichromated gelatin films, working in real-time configurations, are described on the basis of experimental data. Applications in double-exposure holography, character recognition, edge enhancement, image subtraction, and phase conjugation are presented.