This document provides an introduction to stream variables in OpenModelica for beginners. It discusses stream variables as a way to represent physical phenomena that are transported by flow, such as enthalpy and mass fractions. The key points covered include how stream variables are calculated, avoiding singularities at zero flow, handling bidirectional flow, modeling branching and merging of flows, and implementation rules and operators for stream variables. Examples of actualStream and inStream operators are also provided.
24Jun17 MBD-Case - Room and MBD and I Ver3Shigenori Ueda
Caution!
The conservation equation of heat energy on slide 10 is incorrect.
The correct is below.
q=c×ρ×dT/dt
This slide was presented at the joint OpenCAE study meeting in 24/06/2017.
Nabla-chan using in this slide is a mascot character of OpenCAE study meething at kansai.
OpenCAE study meething at kansai and kinoko(@donkinoko) own the copyright of nabla-chan.
24Jun17 MBD-Case - Room and MBD and I Ver3Shigenori Ueda
Caution!
The conservation equation of heat energy on slide 10 is incorrect.
The correct is below.
q=c×ρ×dT/dt
This slide was presented at the joint OpenCAE study meeting in 24/06/2017.
Nabla-chan using in this slide is a mascot character of OpenCAE study meething at kansai.
OpenCAE study meething at kansai and kinoko(@donkinoko) own the copyright of nabla-chan.
OpenStack Days Tokyo 2017で登壇した資料です。
■自動化を支えるCI/CDパイプラインの世界
http://openstackdays.com/program-detail/#d1p5s9
自動化を行うためのCI/CDパイプライン環境を構築し運営する上で、どこに注意すべきなのかをInfrastructure as Codeの視点で紹介します。
OMGが提供する仕様である、SysPhS(SysML Extension for Physical Interaction and Signal Flow Simulation・物理的相互作用とシグナルフローシミュレーションのための SysML拡張)の説明です。
10/14のSERA(システムズエンジニアリング研究会)勉強会での発表資料です。
Modeling an ODE: 3 different approaches - Part 3Scilab
In this tutorial we show how to model a physical system described by ODE using the Modelica extensions of the Xcos environment. The same model has been solved also with Scilab and Xcos in two previous tutorials.
This document summarizes an experiment to study the dynamic response of a two-tank system subjected to step changes in inlet flow rate. The time constant and steady state gain were calculated for each tank at three flow rates. The time constant and gain values are reported in Table 1. No clear trends were observed between the parameters and increasing flow rate. There was a consistent time lag between the response of the first and second tanks.
OpenStack Days Tokyo 2017で登壇した資料です。
■自動化を支えるCI/CDパイプラインの世界
http://openstackdays.com/program-detail/#d1p5s9
自動化を行うためのCI/CDパイプライン環境を構築し運営する上で、どこに注意すべきなのかをInfrastructure as Codeの視点で紹介します。
OMGが提供する仕様である、SysPhS(SysML Extension for Physical Interaction and Signal Flow Simulation・物理的相互作用とシグナルフローシミュレーションのための SysML拡張)の説明です。
10/14のSERA(システムズエンジニアリング研究会)勉強会での発表資料です。
Modeling an ODE: 3 different approaches - Part 3Scilab
In this tutorial we show how to model a physical system described by ODE using the Modelica extensions of the Xcos environment. The same model has been solved also with Scilab and Xcos in two previous tutorials.
This document summarizes an experiment to study the dynamic response of a two-tank system subjected to step changes in inlet flow rate. The time constant and steady state gain were calculated for each tank at three flow rates. The time constant and gain values are reported in Table 1. No clear trends were observed between the parameters and increasing flow rate. There was a consistent time lag between the response of the first and second tanks.
Design of de-coupler for an interacting tanks systemIOSR Journals
This document describes the design of a decoupler for a two-tank interacting system. It first provides background on interacting or coupled multi-input multi-output (MIMO) systems and the goal of decoupling. It then presents the mathematical model and dynamics of the two-tank system. Next, it analyzes the interaction between the two tanks' liquid levels and inlet flow rates. The relative gain array (RGA) method is used to determine appropriate control loop configurations to minimize interaction. Finally, the document derives equations to design decouplers to cancel the effect of one tank's flow rate on the other tank's liquid level, thereby rendering the system as two independent single-input single-output loops. Experimental results
Poster: Characterizing Ignition behavior through morphing to generic curvesEdward Blurock
The qualitative notion that ignition processes have similar behavior, even over an extensive range of starting conditions, is quantitatively demonstrated through the production of a single ’generic’ ignition curve. The key to the production of the generic curve is the recognition that the basic shapes of the species and temperature profiles occurring in the ignition process differ only in their ’timing’. By ’morphing’ the time scale, the profile shapes can be made to align. From the aligned profile shapes a generic or ’average’ profile can be derived. Synchronizing chemical events modifies the ignition progress times. In addition to fixing the ignition time to have the progress value of one, intermediate ignition events (such as selected profile maxima or inflection points) that occur before ignition are also aligned to have specific ’normalized’ times.
Hydraulic Scilab toolbox for water distribution systemsScilab
The purpose of this paper is to show the possibilities offered by Scilab/Xcos to model hydraulic time-dependent systems. In particular, we develop a new Xcos module combined with the use of Modelica language to show how water distribution systems can be modeled and studied. In this paper we construct a reduced library composed by few elements: reservoirs, pipes and nodes. The library can be easily extended to obtain a more complete toolbox. The developed library is tested on a simple well-known hydraulic circuit.
Engineering project non newtonian flow back stepJohnaton McAdam
This document describes a numerical simulation of non-Newtonian fluid flow over a backward-facing step using two viscosity models: the power law model and Carreau model. The incompressible Navier-Stokes equations are solved using finite element analysis in MATLAB. Boundary conditions of no-slip walls and zero traction at the outlet are applied. Simulation results at different inlet velocities show shear thinning and thickening behavior for both models. The Carreau model is found to better handle very low or high shear rates compared to the power law model.
1. Valves are modeled to regulate flow within chemical processes. Important components for modeling include flow, valve coefficient (Cv), pressure drop, control valve gain, rangeability, and installed characteristics.
2. Flow through a valve is described by an equation involving Cv, pressure drop, specific gravity, and flow characteristics. There are three main flow characteristics: linear, quick opening, and equal percentage.
3. Control valve gain describes the change in flow with a change in controller signal. It depends on valve characteristics and whether pressure drop is constant or variable. Constant valve gain is desirable for control.
The document discusses the design of a robotic fish prototype. It covers the biomimetic inspiration of real fish motion, mathematical modeling including kinematics, dynamics, and degrees of freedom. Open and closed loop control strategies are examined through simulation. Potential applications of robotic fish include efficient ship propulsion and leading real fish to safety.
The document discusses the design of a robotic fish prototype. It covers the biomimetic inspiration of real fish motion, mathematical modeling including kinematics, dynamics, and degrees of freedom. Open and closed loop control strategies are examined through simulation. Potential applications of robotic fish include efficient ship propulsion and leading real fish to safety.
The document discusses environmental modeling and transport phenomena. It covers topics like Fick's laws of diffusion, the transport equation, and dimensionless formulations. Numerical methods for solving transport equations like the finite difference method are presented. Case studies on models for river water quality and biodegradation kinetics are analyzed. Redox sequences and their importance in environmental systems are also introduced.
The document discusses the describing function, a tool for predicting oscillations in nonlinear systems. It introduces the concept through an example system with a nonlinear "bang-bang" controller driving a linear plant. By assuming the output oscillates sinusoidally, it shows how the describing function technique can determine the frequency and amplitude of limit cycles in the system. Specifically, it finds the frequency where the plant's transfer function induces a -180 degree phase shift, meeting the conditions for oscillation in the nonlinear closed loop.
Simple Exponential Observer Design for the Generalized Liu Chaotic Systemijtsrd
In this paper, the generalized Liu chaotic system is firstly introduced and the state observation problem of such a system is investigated. Based on the time-domain approach with differential and integral equalities, a novel state observer for the generalized Liu chaotic system is constructed to ensure the global exponential stability of the resulting error system. Besides, the guaranteed exponential convergence rate can be precisely calculated. Finally, numerical simulations are presented to exhibit the effectiveness and feasibility of the obtained results. Yeong-Jeu Sun"Simple Exponential Observer Design for the Generalized Liu Chaotic System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7126.pdf http://www.ijtsrd.com/engineering/engineering-maths/7126/simple-exponential-observer-design-for-the-generalized-liu-chaotic-system/yeong-jeu-sun
This document describes an experiment on conservation of mass in fluid mechanics. The experiment uses a Pressurized Flow System (PFS) to determine the volume flow rate and discharge coefficient of the PFS inlet and stack. It is broken into two parts: 1) measuring leakage to account for it in calculations, and 2) finding the stack discharge coefficient as a function of the ratio of the stack and cap diameters. Equations are derived for mass conservation, discharge coefficient, and volume flow rate. The experiment aims to demonstrate these concepts and relationships between variables.
This document summarizes a large eddy simulation of flow around a sharp-edged surface-mounted cube. The simulation was performed using the Petsc-Fem code developed at CIMEC. The flow conditions matched published benchmarks, with a Reynolds number of 40,000. An upstream channel flow was first simulated to provide turbulent inflow conditions. The simulation results are analyzed to validate the LES implementation and identify areas for improving turbulence modeling.
This document discusses modelling non-Newtonian fluid flow through porous media. It defines Newtonian and non-Newtonian fluids, describes various rheological models including time-independent, viscoelastic, and time-dependent behaviors. It also discusses different modelling methodologies like continuum, bundle of capillaries, and network modelling approaches. Network modelling accounts for physics at the pore level and is computationally affordable. The document outlines strategies for modelling time-independent, viscoelastic, and time-dependent non-Newtonian fluid flow through pore networks.
This document discusses modeling the flow of non-Newtonian fluids in porous media. It defines Newtonian and non-Newtonian fluids and describes different types of non-Newtonian behavior including time-independent, time-dependent, and viscoelastic. Network modeling techniques are presented for simulating flow using pore-scale images and representative rheological models. Strategies are discussed for modeling time-independent, time-dependent, and viscoelastic fluids using network modeling approaches. Future work is noted to implement time-dependent modeling strategies and investigate viscoelastic effects.
- The document details a state space solver approach for analog mixed-signal simulations using SystemC. It models analog circuits as sets of linear differential equations and solves them using the Runge-Kutta method of numerical integration.
- Two examples are provided: a digital voltage regulator simulation and a digital phase locked loop simulation. Both analog circuits are modeled in state space and simulated alongside a digital design to verify mixed-signal behavior.
- The state space approach allows modeling analog circuits without transistor-level details, improving simulation speed over traditional mixed-mode simulations while still capturing system-level behavior.
Modelling, identification and experimental validation of a hydraulic manipula...Mo shk
This document summarizes modelling, identification, and experimental validation of a hydraulic manipulator joint for control purposes. It presents the development of a dynamic model of the joint, which includes submodels of the servovalve, fluid dynamics, and vane and load. System parameters were identified using experimental data from a hydraulic manipulator. The model was validated by comparing simulation results to experimental responses, showing good correlation. The accurate model can be used to develop a robust force controller for the hydraulic manipulator joint.
TEST GENERATION FOR ANALOG AND MIXED-SIGNAL CIRCUITS USING HYBRID SYSTEM MODELSVLSICS Design
In this paper we propose an approach for testing time-domain properties of analog and mixed-signal circuits. The approach is based on an adaptation of a recently developed test generation technique for hybrid systems and a new concept of coverage for such systems. The approach is illustrated by its application to some benchmark circuits.
Similar to OpenModelica tutorials_7-5 Stream variable(超初級チュートリアル7-5.番外編 Stream変数) (20)
This report was presented in CAE beginner circle.
https://cae-beginner.connpass.com/
Presentation and discussion movie upload on youtube.
You can see the video by registering circle web site.
http://160.16.70.137/redmine/projects/caebeginneronly/wiki/%E7%AC%AC10%E5%9B%9E_CAE%E5%8B%89%E5%BC%B7%E3%83%BB%E7%9B%B8%E8%AB%87%E4%BC%9A_
This is a case study of MBD and OpenModelica.
I reported this case at OpenCAE Study group on 4/15/17.
Update
1. add the block diagram of "Outdoor"
2.Input the experimental data of my room temperature
3.to use the "Buildings.Fluid.MixingVolumes.MixingVolume" model
This document discusses minimizing heat loss from an outdoor area to the external air temperature. It notes that with a 30K temperature difference, 10kW of heat is lost through a wall. It also mentions the heat capacity of a room and the amount of heat added to the room.
161126 Introduction of the investigative action about Examples of Modelica St...Shigenori Ueda
この資料はオープンCAE学会のMBD委員会の活動紹介資料です。
Modelica Standard LibraryのExamplesについて委員会メンバーが解説を行った資料をかいつまんで紹介しています。
This is the introduction of MBD Committee activity of OpenCAE society.
This slide introduces commentary materials that made by Committee members about Examples of MSL.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
53. 53
(1) Francesco Casella, Martin Otter, Michael Sielemann and Rüdiger Franke, Stream Connectors - An Extension of
Modelica for Device-Oriented Modeling of Convective Transport Phenomena, 7th Modelica Conference(2009)
(2) Modelica Specification 3.4
参考資料
(3) Overview and Rationale for Modelica Stream Connectors,
https://doc.modelica.org/Modelica%204.0.0/Resources/Documentation/Fluid/Stream-Connectors-
Overview-Rationale.pdf (参照日 2021/8/22)