Machine Simulation Articles & Analysis
22 articles found
Your Sinar moisture meter is an essential part of your operation—providing accurate, dependable readings that help you make the right decisions at the right time. But like any precision instrument, it needs regular care to perform at its best. A Sinar Standard Service isn’t just a “tune-up.” It’s a complete health check, deep clean, and recalibration process ...
Advancements in Intelligent Control Systems The modern egg tray making machine fully automatic system incorporates programmable logic controllers (PLCs) and human-machine interface (HMI) touchscreens. ...
This approach involves the computational generation and optimization of novel chemical structures that are predicted to have the desired therapeutic effects. Using advanced algorithms and machine learning techniques, researchers can explore vast chemical spaces to identify promising lead compounds, which can then be further refined and validated through experimental testing. ...
This service utilizes computational methods to simulate the spectroscopic properties of molecules, such as infrared (IR), Raman, and ultraviolet-visible (UV-Vis) spectra. By accurately predicting these spectra, researchers can compare the simulated data with experimental observations, enabling the identification of molecular structures, the elucidation of ...
Abstract – Unexpected metabolism in modification and conjugation phases can lead to the failure of many late-stage drug candidates or even withdrawals of approved drugs. Thus, it is critical to predict the sites of metabolism (SoM) for enzymes, which are known to interact with drug-like molecules, in the early stages of the research. The study presents methods for predicting the ...
The primary aim of end-to-end (E2E) mobile testing is to test from the end-user perspective by: Simulating the real user scenario Validating the system and its components for integration and the data integrity Software systems these days are complex and interconnected with various subsystems. ...
The installation position of the rotor is simulated on the measuring machine equipped in this way, which enables a meaningful analysis of the running properties. ...
All physical principles of current wind machines are applied to Vortex as well, it is just a different and innovative way of harness energy from wind. ...
On the other hand, the Artificial Intelligence attempt to achieve some kind of intelligent machines that work and react like humans depend on huge inputs and databases. We can describe the databases that a system are computer systems that store a large body of facts about some subject in such a way that they can be used to facilitate the process, reduce costs and maximize return ...
In these days, a new triple-effect system with 100 cubic meters of the ECO DPM-SE series is being installed at the customer's premises.The project concerns the ambitious goal of recovering raw materials contained in exhausted solutions, reaching a goal that until now was unimaginable.The particular technology used in this type of evaporators, able to keep in continuous mixing the solution to be ...
In order to provide urban flood early warning effectively, two support vector machine (SVM) models, using a numerical model as data producer, were developed to forecast the flood alert and the maximum flood depth, respectively. An application in the urban area of Jinlong River Basin, Hangzhou, China, showed the superiority of the proposed models. Statistical results based on the comparison ...
This study is trying to develop an alternative approach to the issues of sediment transport simulation. A machine learning method, named least square support vector regression (LSSVR) and a meta-heuristic approach, called particle swarm optimization (PSO) algorithm are used to estimate bed material load transport rate. PSO algorithm is utilized to calibrate ...
Accurate measurement of groundwater levels is often difficult and involves great uncertainty. Therefore, simulating and predicting the fluctuating behavior of groundwater levels is necessary for water resource planning and management. In this study, radial basis function (RBF) neural networks and support vector machines (SVM) were employed to ...
Simulink is a graphical environment for simulation and Model-Based Design of multidomain dynamic and embedded systems. ...
Coliform bacteria and several chemical parameters were used to feed machine-learning (ML) algorithms to simulate a real-time classification method. ...
*Properly design mold exhausting scheme and change number of position of gate as well as position of parting line when necessary to achieve sound exhausting effect. *Select proper injection machine and correctly adjust screw injection stroke to ensure sufficient actual quantity of injection;meanwhile, it should be ensured that the melt stored in the plastication room at the ...
In this paper, a methodology of statistical downscaling using a support vector machine (SVM) approach is presented to simulate and predict the precipitation using general circulation model (GCM) data. ...
It utilises a compensator for the phase and magnitude error introduced by low pass filter, which is being used to avoid DC drift, problem of saturation and to enhance the transient response of the machine. Detailed simulation studies are carried out to verify the efficacy of the system. The viability of the scheme is confirmed by performing detailed experimental ...
This model is based on a modified winding function approach where the machine inductances are calculated directly from the machine winding distribution using machine electrical parameters instead of the geometrical ones. The simulation results for different cases of internal faults in salientpole and nonsalientpole synchronous ...
At these procedures, the stability of zero dynamics has been attained. The simulation results on a single machine connected to an infinite bus confirm the feasibility and show the good performance of the stabiliser.Keywords: sliding mode control, SMC, feedback linearisation, power system stabilisers, zero dynamics, synchronous generators, nonlinear power systems, ...