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A Digital Twin Platform Integrating Process Parameter Simulation ...

The present work aims to develop a digital twin system typical of intelligent manufacturing applications, which has integrated visualization technologies, as well as the process parameter ...

Intelligent Machining System Based on CNC Controller Parameter ...

The effects of the CNC parameters of the controller and the dynamic behavior of a TCP can also be considered. (8,(16) (17) (18)20) The data-driven modeling approach is rapid, accurate, and ...

Efficient workflow for optimizing intelligent well completion using ...

Intelligent Well Completion (IWC) has been successfully deployed over the years to improve reservoir management, with better results in heterogeneous reservoirs. ... Table 4. PSO parameters ...

Intelligent Energy Optimization for User Intelligible Goals in Smart ...

Abstract —Intelligent management of energy consumption is one of the key issues for future energy distribution systems, smart buildings, and consumer appliances.

Estimation of Tire Load and Vehicle Parameters Using …

A new estimation algorithm, which combines intelligent tire and vehicle dynamics, is proposed, which can estimate static/dynamic tire load and vehicle parameters with a fast sampling rate and high robustness. This article focuses on the …

Design of Multi-parameter Monitoring System for Intelligent

Wherein, n, a and b respectively represent the parameters of the impedance coefficient and the power consumption coefficient of the intelligent agricultural greenhouse, the invention relates to a development and design of a multi-parameter monitoring system of a smart agriculture greenhouse in a combination of network technology and an embedded technology, The man …

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SAP Ariba representatives can easily manage site parameters of various SAP Ariba solutions in the Intelligent Configuration Manager workspace. Customer administrators can view all SAP-controlled parameters in Intelligent Configuration Manager, but in the read-only mode.

GA-BiLSTM: an intelligent energy prediction and optimization

The window size and the number of neuron units are important parameters for the deep learning based prediction model. These parameters are obtained through GA …

Intelligent Table Lamp Based on Single Chip Microcomputer

module realizes the display of some k ey parameters of the whole system, such as light intens ity, ... Design of Multifunctional Intelligent Table Lamp Based on STC89C52 Single Chip Microcomputer ...

Machine learning for energy consumption prediction and …

Each appliance has a specific start time, working duration, and eventually a specific end time. These parameters are described in the diagram below (Fig. 8).

Intelligent Modeling and Optimization of ECM Process Parameters …

The process parameters can be set prior to machining. The MRR is the volume of material removed from a work piece in a machining process per unit time. The SR is measured by a profile meter (3D-Hommelework) and it is expressed in µm. There are four input process parameters and the two output parameters that vary in a specified range.

Intelligent Energy Optimization for User Intelligible Goals in Smart ...

Abstract: Intelligent management of energy consumption is one of the key issues for future energy distribution systems, smart buildings, and consumer appliances. The problem …

[PDF] KnobTree: Intelligent Database Parameter Configuration …

KnobTree, an interpertable framework designed for the optimization of database parameter configuration, which building a transparent tree-based model to generate explainable database tuning strategies and slightly outperforms the existing RL-based tuning algorithms in aspects such as throughput, latency, and processing time. Databases are fundamental to …

How do I view/edit a parameter value in Intelligent ...

From the dashboard of Intelligent Configuration Manager, select the configuration type that you want to update (for example, choose Buying and Invoicing> Parameters).; On the Manage parameters page, choose a parameter row to update. Optionally, use the full-text search criteria in the Search field to search for the parameter. The parameters table allows you to view and …

Intelligent Channel Parameter Estimation System Based on

How to estimate channel parameters more effectively, intelligently and accurately is the key problem to realize the requirements of intelligent and adaptive short-wave communication system. Based on the detailed analysis of chirp signal and fractional Fourier transform, an intelligent channel parameter estimation system is constructed. By building and …

Parameter table

The parameter table pattern is used to create parameters in a report, so that users can interact with slicers and dynamically change the behavior of the report itself. For example, a report can show the top N products by category, letting the users decide through a slicer if they want to see 3, 5, 10 or any other number of best products.

Table 1 . Model Parameters (Parameters of the …

Download Table | Model Parameters (Parameters of the Intelligent Driver Model and the ACC model used in the simulations of §2 (4). The first six parameters are common for both models. The last ...

Excel: Die intelligente Tabelle – erstellen, erweitern, …

In diesem Beitrag lernst du, wie man in Excel eine intelligente Tabelle erstellen, erweitern und löschen kann. Intelligente Excel Tabellen sind äußerst praktisch, da sie standardmäßig bereits viele Funktionen mitbringen, ohne dass man sie erst …

MANUAL FOR OPTIMERET ENERGIADFÆRD OG DRIFT I …

parameter af de to, og energieffektive komponenter anbefales derfor som den bedste måde at opnå både en bygning med høj indeklimakvalitet og lavt energiforbrug. Lavt energiforbrug …

Smart energy systems: A critical review on design and operation ...

Sun et al. investigated the end user of a nearly-zero-energy building (NZEB) energy system by focusing on the influence of the macro-parameter on the sizes of key NZEB …

Intelligent decision-making for TBM tunnelling control parameters …

The maximum and minimum empirical value ranges for each parameter are determined by the upper quartile and lower quartile of the statistical data of each parameter, respectively. Table 5 shows the empirical range of TBM tunnelling control parameters and basic performance parameters. It can be seen that:

Research on intelligent implementation of the beneficiation …

The intelligent implementation for multi- parameters of shaking table combines all the results of the previous research such as the exploration of big data, and the deep learning image processing algorithm and machine learning algorithm are nested as a whole, which is an important foundation to realize the intelligent control of shaking table beneficiation process, and …

Optimization method of machining parameters based on intelligent ...

The processing parameters have a particularly significant impact on the quality and efficiency of processing. Selecting the correct processing parameters can greatly improve the processing performance of the machine tool. To this end, by improving the chromosome structure and genetic operators of the GA algorithm, a new GA-BP neural network algorithm is proposed …

Dynamic simulation and evolution of key control parameters for ...

In intelligent compaction, a critical issue is determining the combination of construction parameters (e.g., the rolling speed and the number of passes) for achieving optimal compaction results.

THE SMART ENERGY SYSTEM

in this report as a flexible and intelligent system of integrated energy grids which ensures the most cost effective and sustain-able energy supply, storage, and consumption while promoting …

iGLU 4.0: Intelligent Non-invasive Glucose Measurement and

The conventional glucose measurement method, such as pricking blood from the body, is prevalent, bringing pain and trauma. Invasive measurement methods sometimes raise the risk of blood infection in the patient. Several physiological parameters, such as body temperature and systolic blood pressure (SBP) are responsible for blood glucose level …

(PDF) Intelligent Evolutionary Algorithms for Large Parameter ...

This work proposes two intelligent evolutionary algorithms IEA and IMOEA using a novel intelligent gene collector (IGC) to solve single and multiobjective large parameter optimization problems ...

INTELLIGENT MARITIME TRANSPORTATION SYSTEM: …

Intelligent Maritime Transportation System (IMTS) a. ims to solve marritime issues in Indonesia. Some of those issues are illegal fishing by vessels that are not detected and the absence of public

Intelligent recommendation system of the injection molding …

In this research, a recommendation system was designed for optimizing the injection molding process parameters. The system incorporates the utilization of process windows, eXtreme Gradient Boosting (XGBoost), and genetic algorithms. Computer-aided engineering (CAE) simulations were conducted to generate process window data and …

Intelligent Parameter Tuning in Optimization-Based Iterative CT ...

DOI: 10.1109/TMI.2018.2823679 Corpus ID: 638201; Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning @article{Shen2017IntelligentPT, title={Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning}, author={Chenyang Shen and …

In-process identification of milling parameters based on digital …

The potential benefits of Industry 4.0 have led to an increased interest in smart manufacturing. To facilitate the self-diagnosis and adaptive ability in smart milling system, a digital twin–driven intelligent algorithm for monitoring in-process milling parameters is proposed here. The algorithm can extract the radial width of cut, axial depth of cut, cutter runout parameters, …

Intelligent energy management: Evolving developments, current ...

Intelligent and robust forecasting models capable of predicting hourly, weekly, and annual energy usage is essential as they encourage utility operators to make better …

Short-Term Traffic Flow Prediction Based on the Intelligent Parameter ...

2.3 Improved Distance Measurement. The commonly used distance measurements are Euclidean distance and dynamic time warping distance (DTW). Euclidean distance is proved to have better performance when the sequence length is equal, while dynamic time warping can effectively measure the distance between sequences when the sequence …

[PDF] Estimating Parameters of Van Genuchten Model for Soil …

It was concluded that the IPSO presented here is more reasonable and reliable to estimate the SWRC in term of VG model than the method of GA, SA, RETC and Rosetta. An improved particle swarm optimization (IPSO) was proposed and the intelligent algorithms such as IPSO, genetic algorithm (GA), and simulated annealing algorithm (SA) were introduced to …

Intelligent energy management system for smart home with grid …

The different features and parameters of GES used in this study are presented in Table 2. Indeed, a 5 kW/0.5 kWh system with a water tank volume of 28.63 m 3 is deployed. …

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This guide is for SAP Ariba administrators responsible for configuring their site parameters with Intelligent Configuration Manager.. Many site parameters are available in one centralized location in Intelligent Configuration Manager, where members of the Customer Administrator group can set them. Intelligent Configuration Manager is available from Ariba Administrator.

INTELLIGENT MARITIME TRANSPORTATION SYSTEM: VISUALISASI DATA …

Intelligent Maritime Transportation System (IMTS) a. ims to solve marritime issues in Indonesia. Some of those issues are illegal fishing by vessels that are not detected and the absence of public

Smart and intelligent energy monitoring systems: A …

These experiments exploited 8 input parameters: relative compactness, surface area, wall area, roof area, total height, building orientation, glazing area, and glazing …

sql server

@Olivia Here @table1 is just name of variable. It can be @somavariable or whatever you want. After name of variable you have to specify the name of type. In this case (from your question) it is DataType.So, you create a variable, add data into variable and pass this variable as a parameter into stored procedure