Rapid Prototyping becomes very popular for faster algorithm development. With a graphical representation of the algorithm and the possibility to simulate complete designs, engineers can help to reduce the time to market. A tight integration with MPLAB-X IDE allows the combination with standard C-coding to easily get mass production code. This solution was used to optimise a sensorless field oriented controlled PMSM motor driven pump efficiency. A model for closed loop simulation was developed using X2C blocks [1][2] for the FOC algorithm based on the existing application note AN1292 [3]. Enhancements to the original version were implemented and verified with simulation. The X2C Communicator was used to generate code of the new algorithm. With the online debugging capabilities and the scope functionality the algorithm was further tuned and optimized to achieve the highest possible efficiency of the pump.
Vlad Trifa - Final PhD Thesis Defense at ETH ZurichVlad Trifa
The final defense of my phd thesis at ETH Zurich. The final report will be posted soon on my personal Web site (vladtrifa.com), once accepted by the school commission and submitted.
Vlad Trifa - Final PhD Thesis Defense at ETH ZurichVlad Trifa
The final defense of my phd thesis at ETH Zurich. The final report will be posted soon on my personal Web site (vladtrifa.com), once accepted by the school commission and submitted.
Arrow function expressions are new functions available in ES6. Using arrow function expressions we can reduce function coding. In Arrow function expressions there is no this inside arrow function. if you call this it will take immediate parent's context.
Some parts of our applications don't need to be asynchronous or interact with the outside world: it's enough that they are stateful, possibly with the ability to handle failure, context, and logging. Although you can use ZIO 2 or monad transformers for this task, both come with drawbacks. In this presentation, Jorge Vásquez will introduce you to ZPure, a data type from ZIO Prelude, which lets you scale back on the power of ZIO 2, but with the same high-performance, type-inference, and ergonomics you expect from ZIO 2 libraries.
Insight into an Emerging Technology: Commercial DronesFoiz Rahman
The idea of using civil or commercial drones is relatively new. The usage of drones in various purposes in everyday life is being discovered and the usage is gradually expanding. This report mainly focuses on civil drones with an insight into the technology, usage and future prospects.
STEALTH AND CAMOUFLAGE: TECHNIQUES AND MATERIALSSachin Kumbhar
Study & Seminar report on Stealth & Military Camouflage: Techniques & Materials. Discuss about stealth & camouflage techniques & materials including deception & decoys. A complete and comprehensive definition of stealth technology. all military equipment take into account low observable principles (L.O.) which has been discussed here.
How to build containerized architectures for deep learning - Data Festival 20...Antje Barth
When it comes to AI data scientists/engineers tend to focus on tools. Though the data platform that enables these tools is equally important, it’s often overlooked. In fact, 90% of the effort required for success in ML is not the algorithm – it’s the data logistics. In this workshop we will talk about common architecture blueprints to integrate AI in your data centers and how the right data platform choice can make all the difference in launching your AI use case into production! Presented at Data Festival Munich, 2019.
Arrow function expressions are new functions available in ES6. Using arrow function expressions we can reduce function coding. In Arrow function expressions there is no this inside arrow function. if you call this it will take immediate parent's context.
Some parts of our applications don't need to be asynchronous or interact with the outside world: it's enough that they are stateful, possibly with the ability to handle failure, context, and logging. Although you can use ZIO 2 or monad transformers for this task, both come with drawbacks. In this presentation, Jorge Vásquez will introduce you to ZPure, a data type from ZIO Prelude, which lets you scale back on the power of ZIO 2, but with the same high-performance, type-inference, and ergonomics you expect from ZIO 2 libraries.
Insight into an Emerging Technology: Commercial DronesFoiz Rahman
The idea of using civil or commercial drones is relatively new. The usage of drones in various purposes in everyday life is being discovered and the usage is gradually expanding. This report mainly focuses on civil drones with an insight into the technology, usage and future prospects.
STEALTH AND CAMOUFLAGE: TECHNIQUES AND MATERIALSSachin Kumbhar
Study & Seminar report on Stealth & Military Camouflage: Techniques & Materials. Discuss about stealth & camouflage techniques & materials including deception & decoys. A complete and comprehensive definition of stealth technology. all military equipment take into account low observable principles (L.O.) which has been discussed here.
How to build containerized architectures for deep learning - Data Festival 20...Antje Barth
When it comes to AI data scientists/engineers tend to focus on tools. Though the data platform that enables these tools is equally important, it’s often overlooked. In fact, 90% of the effort required for success in ML is not the algorithm – it’s the data logistics. In this workshop we will talk about common architecture blueprints to integrate AI in your data centers and how the right data platform choice can make all the difference in launching your AI use case into production! Presented at Data Festival Munich, 2019.
Software Bill of Materials - Accelerating Your Secure Embedded Development.pdfICS
This webinar will cover why SBOMs should be required to improve software supply chain security, what to look for in a SBOM and how to evaluate open source and third-party components as well as how to use a SBOM to identify software risk and eliminate vulnerabilities throughout the software supply chain.
Setting licenses free vs. locking them downteam-WIBU
Typically, we elaborate on techniques that make managing licenses and entitlements a seamless journey for ISVs and their customers. However, there are special conditions that may present themselves during the license lifecycle when you want to take deliberate actions aimed at locking down your licenses swiftly and permanently. Let’s see what these scenarios may be:
You realize that a hacker is attacking your software; with unlimited time on his side to perpetrate reverse engineering and analysis, he may gain some ground; when you put a limit on the number of attempts he can try, you may save not only your intellectual property which is being targeted, but your entire business.
A CmDongle containing a valid license goes missing; whether it was lost or stolen, or the customer is actually trying to mislead you to get a new license for free, you can lock down the license associated with the dongle before shipping a new one, just to make sure that, in case the old dongle resurfaces one day, you still have only a single active license in the field.
A CmActLicense is no longer accessible; whether the computer really needed software or hardware maintenance and the customer could not disable the license before the crash, or the customer is cheating on you, you have the means to lock down the license and protect yourself should the license ever become active again online.
There are multiple avenues to lock licenses down.
CodeMeter offers the unique ability in the global market to lock licenses down:
For the first use case listed above, you can opt for AxProtector, which is enabled by default, and needs just one click to activate the feature that will come to your rescue.
When hardware or software based licenses are compromised because a dongle went missing or a soft-license is no longer accessible, you still have a one-click option with CodeMeter License Central, which is preset by default. If you don’t have a CodeMeter License Central installation or your customer is permanently offline, you can also use CodeMeter API; in both cases, you can create and distribute a software update that includes a blacklist of the compromised CmDongles and CmActLicenses; upon installing the new version of your software, the license that was reported as compromised to the ISV is locked down, whether the customer goes online or stays offline after performing the update from a DVD or USB memory stick. The lock-down can also be set to occur several days after the update to make sure there is no immediate correlation between the two actions.
For accidental cases of license lock-downs, CodeMeter naturally also includes a way to remove locks at any time.
Watch the webinar: https://youtu.be/xFqnwG0c_sA
Global Azure Bootcamp 2019 - AIoT powered by AzureAndri Yadi
It's very late share. The deck I presented when discussing AIoT powered by Microsoft Azure, during Global Azure Bootcamp 2019 - Bandung, Indonesia on April 2019.
Face recognition has countless applications in a lot of different fields from security to marketing. But it usually requires expensive hardware or proprietary software applications. In this session we’re going to describe an open software platform based on Raspberry Pi and OpenCV that covers a subset of this functionality: faces counter. It would be useful when control access to closed spaces such as rooms with a limited capacity is needed. Solution combines cameras, Raspberry Pis, OpenCV, MQTT, embedded Java, and Java SE to cover business needs, privacy constraints, scale out needs, … and much more.
A Real-Time Interface for Xcos – an illustrative demonstration using a batter...Scilab
As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.
Internet of Everything is already happening, driven by the staggering growth of smart devices, systems and sensors. As hardware and software developers look to use connectivity to create IoE devices and apps, they encounter misconceptions about complexities and technology options available to them. This session provides insight into the latest connectivity options and tools to help you add connected interactivity to apps and everyday objects.
Watch this presentation on YouTube: https://www.youtube.com/watch?v=bL-Y1XR-KT0&list=PLxeazpXYyqtNm2EnCbfSzy7aKOkHjiaSi&index=12
Why electric vehicles need model-based design?
Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.
Keynote of the French Space Agency CNES on the Asteroidlander MASCOT boarding the Hayabusa2 mission in collaboration with the Japanese Space Agency JAXA and the German Aerospace Center DLR
Scilab and Xcos for Very Low Earth Orbits satellites modellingScilab
Very Low Earth Orbits are orbits in altitudes lower than 450 km. The interaction between the atmosphere particles and the surfaces of the spacecraft is responsible for the aerodynamic torques and forces. Simulating several aspects of the performance of a satellite flying in VLEO is very important to make decisions about the design of the spacecraft and the mission.
X2C -a tool for model-based control development and automated code generation...Scilab
Peter Dirnberger, Stefan Fragner
Nowadays, the market demands compact, stable, easy maintain-and customizable embedded systems. To meet these requirements, afast, simple and reliable implementation of control algorithms is crucial. This paper demonstrateshow model-based design with the help of Scilab/Xcosand X2C, developed by LCM,simplifiesand speedsup the development and implementation of controlalgorithms. As an example, acontrol schemefor a bearingless motoris presented.
Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCosScilab
The increasing demand in the aerospace industry for safety and performance has been requiring even more resourceful flight control laws in all market segments, since the airliners until the newest flying cars. The de facto standard for flight control laws design makes extensive use of tools supporting numerical computing and dynamic systems visual modeling, such that Scilab and XCos can nicely suit this kind of development.
Multiobjective optimization and Genetic algorithms in ScilabScilab
In this Scilab tutorial we discuss about the importance of multiobjective optimization and we give an overview of all possible Pareto frontiers. Moreover we show how to use the NSGA-II algorithm available in Scilab.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
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KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.