Digital microfluidic biochips provide a controlled and miniaturized environment to carry out biochemical protocols in an automated fashion. Software-based simulators are essential tools that aid the design of such pro...
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ISBN:
(数字)9783031783807
ISBN:
(纸本)9783031783791;9783031783807
Digital microfluidic biochips provide a controlled and miniaturized environment to carry out biochemical protocols in an automated fashion. Software-based simulators are essential tools that aid the design of such protocols by enabling users to verify correct execution before targeting the physical biochip. To produce a simulation that is faithful to reality, the fluidic behavior of the droplets and their interaction with the driving electrodes must be taken into account. This paper presents a framework for simulating DMF biochips in a resource-constrained web-based environment. The framework is based on a novel droplet model that uses logic-based calculations to capture fluidic behavior. Thus, enabling to faithfully simulate the movement, merging, and splitting of arbitrary-shaped droplets with a low-computational footprint. The simulation framework also includes modular component models to capture the behavior of sensors and actuators, an event-driven simulation engine, and a graphical user interface. The framework is implemented as a client-side web application and runs in a browser. The evaluation carried out using artificial and real-life test cases shows that the framework can deliver real-time simulations with a high level of fidelity.
modeling and simulation methods can result in different types of data sets. These data files may differ in terms of data type, number of variables, file size, etc.. These data contain information that can be analyzed ...
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ISBN:
(纸本)9783031713965;9783031713972
modeling and simulation methods can result in different types of data sets. These data files may differ in terms of data type, number of variables, file size, etc.. These data contain information that can be analyzed using appropriate statistical methods. This paper discusses selected statistical data analysis methods that will be applied to data obtained through simulations. The paper analyzes the data obtained from the simulation of vehicle passage through the terrain. Non-parametric methods are used.
The proceedings contain 158 papers. The special focus in this conference is on Life System modeling and simulation and Intelligent Computing for Sustainable Energy and Environment. The topics include: A Method for Eva...
ISBN:
(纸本)9789819602315
The proceedings contain 158 papers. The special focus in this conference is on Life System modeling and simulation and Intelligent Computing for Sustainable Energy and Environment. The topics include: A Method for Evaluating the Operating Health of Wind Turbines Under Wake Effect;toward Next-Generation Buildings: A Review of Renewable Energy Integration and Intelligent Building Energy Management Technologies;improving the Construction of a Multi-modal Underwater Image Recognition System for Anomaly Detection in Nuclear Power Plant Cooling Source Areas;A Novel Anti-noise Fault Diagnosis Method for Nuclear Energy Steam Turbine Based on VCformer;Short-Term Photovoltaic Power Forecasting Using Multi-timescale Information Based FFTformer Model;wind Power Forecasting Model Based on Feature Processing and Deep Hybrid Kernel Extreme Learning Machine;optimal User-Side Energy Arbitrage Strategy in Electricity Market with Accurate Battery Model Using Benders Decomposition;a Novel Distributed Economic Dispatch Method for Smart Grid with Time-Varying Feedback Gain;benefits, Barriers, and Human Factors of V2X Implementation – A Brief Review;a General Pattern of Permanent Magnet Arrangement for Design Optimization of a Reluctance Magnetic Gear with Enhanced Torque Density for Electric Vehicles;wind Power Scheduling Deviation Compensation Based on Dual-Frequency Pulse Control;a Comprehensive simulation and Validation of Single Particle Aging Mechanism Model for Lithium-Ion Batteries;semi-supervised State of Health Estimation for Lithium-Ion Batteries via Dynamical Self-encoding;a Reduce-Order Model to Understand the Multiscale Coupling of Battery Electrochemical-Thermal Performance;RUL Prediction for Lithium-Ion Batteries Based on Sequence Decomposition and Transformer Networks;An Estimation Method of State of Health of Sodium-Ion Batteries Based on TCN.
The proceedings contain 158 papers. The special focus in this conference is on Life System modeling and simulation and Intelligent Computing for Sustainable Energy and Environment. The topics include: A Method for Eva...
ISBN:
(纸本)9789819602933
The proceedings contain 158 papers. The special focus in this conference is on Life System modeling and simulation and Intelligent Computing for Sustainable Energy and Environment. The topics include: A Method for Evaluating the Operating Health of Wind Turbines Under Wake Effect;toward Next-Generation Buildings: A Review of Renewable Energy Integration and Intelligent Building Energy Management Technologies;improving the Construction of a Multi-modal Underwater Image Recognition System for Anomaly Detection in Nuclear Power Plant Cooling Source Areas;A Novel Anti-noise Fault Diagnosis Method for Nuclear Energy Steam Turbine Based on VCformer;Short-Term Photovoltaic Power Forecasting Using Multi-timescale Information Based FFTformer Model;wind Power Forecasting Model Based on Feature Processing and Deep Hybrid Kernel Extreme Learning Machine;optimal User-Side Energy Arbitrage Strategy in Electricity Market with Accurate Battery Model Using Benders Decomposition;a Novel Distributed Economic Dispatch Method for Smart Grid with Time-Varying Feedback Gain;benefits, Barriers, and Human Factors of V2X Implementation – A Brief Review;a General Pattern of Permanent Magnet Arrangement for Design Optimization of a Reluctance Magnetic Gear with Enhanced Torque Density for Electric Vehicles;wind Power Scheduling Deviation Compensation Based on Dual-Frequency Pulse Control;a Comprehensive simulation and Validation of Single Particle Aging Mechanism Model for Lithium-Ion Batteries;semi-supervised State of Health Estimation for Lithium-Ion Batteries via Dynamical Self-encoding;a Reduce-Order Model to Understand the Multiscale Coupling of Battery Electrochemical-Thermal Performance;RUL Prediction for Lithium-Ion Batteries Based on Sequence Decomposition and Transformer Networks;An Estimation Method of State of Health of Sodium-Ion Batteries Based on TCN.
The proceedings contain 158 papers. The special focus in this conference is on Life System modeling and simulation and Intelligent Computing for Sustainable Energy and Environment. The topics include: A Method for Eva...
ISBN:
(纸本)9789819602247
The proceedings contain 158 papers. The special focus in this conference is on Life System modeling and simulation and Intelligent Computing for Sustainable Energy and Environment. The topics include: A Method for Evaluating the Operating Health of Wind Turbines Under Wake Effect;toward Next-Generation Buildings: A Review of Renewable Energy Integration and Intelligent Building Energy Management Technologies;improving the Construction of a Multi-modal Underwater Image Recognition System for Anomaly Detection in Nuclear Power Plant Cooling Source Areas;A Novel Anti-noise Fault Diagnosis Method for Nuclear Energy Steam Turbine Based on VCformer;Short-Term Photovoltaic Power Forecasting Using Multi-timescale Information Based FFTformer Model;wind Power Forecasting Model Based on Feature Processing and Deep Hybrid Kernel Extreme Learning Machine;optimal User-Side Energy Arbitrage Strategy in Electricity Market with Accurate Battery Model Using Benders Decomposition;a Novel Distributed Economic Dispatch Method for Smart Grid with Time-Varying Feedback Gain;benefits, Barriers, and Human Factors of V2X Implementation – A Brief Review;a General Pattern of Permanent Magnet Arrangement for Design Optimization of a Reluctance Magnetic Gear with Enhanced Torque Density for Electric Vehicles;wind Power Scheduling Deviation Compensation Based on Dual-Frequency Pulse Control;a Comprehensive simulation and Validation of Single Particle Aging Mechanism Model for Lithium-Ion Batteries;semi-supervised State of Health Estimation for Lithium-Ion Batteries via Dynamical Self-encoding;a Reduce-Order Model to Understand the Multiscale Coupling of Battery Electrochemical-Thermal Performance;RUL Prediction for Lithium-Ion Batteries Based on Sequence Decomposition and Transformer Networks;An Estimation Method of State of Health of Sodium-Ion Batteries Based on TCN.
The control of infectious diseases is a perpetual challenge in public health. The need to understand their complex dynamics and the imperative to develop epidemiological surveillance, control and mitigation strategies...
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Grid-connected photovoltaic (PV) systems are crucial to modern renewable energy strategies, but various types of faults can significantly impact their performance. Understanding the behavior of these faults is essenti...
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CTCS-3 train control system is the key system to ensure the safe operation of trains, and its effective combination with automatic train operation technology, which plays an important role in the control of train oper...
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With the increasing probability of software errors being caused by hardware transient faults, hardware engineers require better methods to evaluate the impact of faults and determine how to harden their products again...
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A rapid quantitative loading process using a rotating three bucket is proposed and software simulation of the loading process is conducted. Through software simulation, the feeding and unloading of three buckets and b...
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