The Bellman–Ford algorithm is an algorithm that computes shortest paths from a single source vertex to all of the other vertices in a weighted digraph. It is slower than Dijkstra's algorithm for the same problem, but more versatile, as it is capable of handling graphs in which some of the edge weights are negative numbers.
The Bellman–Ford algorithm is an algorithm that computes shortest paths from a single source vertex to all of the other vertices in a weighted digraph. It is slower than Dijkstra's algorithm for the same problem, but more versatile, as it is capable of handling graphs in which some of the edge weights are negative numbers.
EE402B Radio Systems and Personal Communication Networks-Formula sheetHaris Hassan
Programmes in which available:
Masters of Engineering - Electrical and Electronic
Engineering. Masters of Engineering - Electronic
Engineering and Computer Science. Master of Science -
Communication Systems and Wireless Networking.
Master of Science - Smart Telecom and Sensing
Networks. Master of Science - Photonic Integrated
Circuits, Sensors and Networks
To enable an extension of knowledge in fundamental data communications to radio communications and networks widely adopted
in modern telecommunications systems. To provide understanding of radio wave utilisation, channel loss properties, mobile
communication technologies and network protocol architecture applied to practical wireless systems
The Bellman–Ford algorithm is an algorithm that computes shortest paths from a single source vertex to all of the other vertices in a weighted digraph.
EE402B Radio Systems and Personal Communication Networks-Formula sheetHaris Hassan
Programmes in which available:
Masters of Engineering - Electrical and Electronic
Engineering. Masters of Engineering - Electronic
Engineering and Computer Science. Master of Science -
Communication Systems and Wireless Networking.
Master of Science - Smart Telecom and Sensing
Networks. Master of Science - Photonic Integrated
Circuits, Sensors and Networks
To enable an extension of knowledge in fundamental data communications to radio communications and networks widely adopted
in modern telecommunications systems. To provide understanding of radio wave utilisation, channel loss properties, mobile
communication technologies and network protocol architecture applied to practical wireless systems
The Bellman–Ford algorithm is an algorithm that computes shortest paths from a single source vertex to all of the other vertices in a weighted digraph.
University Electromagnetism:
Electric field and potential of a capacitor that is partly filled (vertically or horizontally) with dielectric material (connected or not to a battery)
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
3. Charge elements (1): rod, ring, disk Line Ring , radius R Disk , radius R [C/m] O z dz dQ = .dz d R [C/m] dQ = .R.d P Symmetry: If homogeneous: dQ = .2 a.da [C/m 2 ] d a r P dE dQ = .dA = (a.d ) da a r ! 0 < a < R da
4. Charge elements (2): thin plate dQ = dA = dx.dy if plate large : dE // e z P Thin plate , [C/m 2 ] x y z (1) z P dE r e r dE = dE x e x + dE y e y + dE z e z (2) (2) if = f (x) only: x Use result for long wire: z dE r e r P z P with d = . dx dE in XZ-plane = dA = dx.dy , at (x,y) (1)
5. Charge elements (3): tube and rod Avoid using r for radius !! Tube , radius R [C/m 2 ] dz d dA = R. d . dz dQ = R. d . dz Cross section: thin ring, radius R dz d Cross section: ring, radius a, width da Solid rod , radius R [C/m 3 ] dV = (r.d ).dr.dz dQ = (r.d ).dr.dz
6. Arc angle and Solid angle r 1 radian [rad] angle with arc length = radius r. 2 radians on circumference. 1 steradian [sr] solid angle with surface area = r 2 . There are 4 sr on the surface. d = (sin .d ) d r sin Solid angle:
7. Charge elements (4): on/in a sphere dA = u.v = (R.sin .d ).(Rd ) 0 < < 2 ; 0 < < dV = u.v.w = (r.sin .d ).(rd ).dr 0 < < 2 ; 0 < < 0 < r < R R d d R.sin u v Spherical surface element r d d r.sin u v Spherical volume element w R
8. Flux : Definition = 0 = A.S. cos = ( A.e n ) S e n e n e n A S S S 1. Homogeneous vector field A ( e n , A ) = 0 = 90 o Def.: = c.A.S Choice: c 1 2. General vector field A For small surface elements dS: A and e n are constant
9. Gauss’ Law (1): derivation Result is independent of the shape of the surface e n ’ dA’ Flux E ’ through surface A’: A’ R dA e n A Flux E through sphere A: O q Charge q in O
10.
11. Gauss-boxes (1): symmetry 1: symmetry present: everywhere 2+3: no symmetry: averaged E over surface can be calculated only: 1 2 3 A A A
12. Gauss boxes (2) : solid sphere 1. Homogeneously distributed over volume (non-conducting) 2. Conducting: homogeneously distributed over surface A Solid sphere: radius R, charge q 0 R r 0 E ~ 1/ r 2 1 2 1+2
13. Gauss boxes (3) : hollow spheres E R 1 R 2 r O O 2 3 1. Non-conducting; homog. charge Q 2. Conducting; charge Q 3. Idem, with extra q in O Radii: R 1 < R 2 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 1 + + + + + + + + + + + + + - - - - - - - -
14. Gauss-boxes (4): at plates Enclosed charge: S Gauss: 2. E S = S / 0 E = ½ / 0 Convenient choices for surface A: E = 0 or E // dA or E dA large plate, homog. charge [C/m 2 ] x y z Symmetry: E // + e y resp. -e y S Take cylinder for Gauss box Non-zero contributions to from top and bottom only
15. Gauss-boxes (5): around rods Convenient choices for surface A: E = 0 or E // dA or E dA Enclosed charge: L Gauss: E. 2 r.L = L / 0 long bar, homog. charge [C/m] z Non-zero contributions to from side wall only Take cylinder for Gauss box L r Symmetry: E radial direction
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19. Electrostatic Crane (2) From Coulomb: No stable equilibrium possible. Question : Does “Gauss” provide a “ simple” proof? From “Gauss”: this is possible only when at P negative charge present !! Conclusion : no negative charge at P no stable equilibrium Approach : Gauss sphere around P P q,m Q Q Q Q Z For stable equilibrium: all forces on P should point inward sphere
20. Gradient in 2 dimensions P Arrows represent vectorial function: grad f Top view: Steepest slopes: P x y f (x,y) Scalar function: f (x,y)
21. Electric Potential (1): Definition Field force F E Work needed for transport of q, from A to B, “opposing field force” Work per Coulomb = potential difference Work is independent of path choice Conservative field E ~ e r / r 2 dr e r r dl A B Q
22. Electric Potential (2): Reference Circulation-free field If A (= reference point) : “ Potential in B with reference in : In general: Q A B dr e r r dl Q A B
23. E = - grad V A B A’ B’ y x V(x,y) dx dV dy x x+dx df f(x)
27. Particle transport and Flux Particles : density n per m 3 ; velocity v m/s (position dependent) Flux : nr. of particles passing per sec . All particles within v meter from A will pass within 1 sec. from now: n.v = flux density [part. m -2 s -1 ] Suppose all particles carry charge q : Charge flux = current: j = current density Flow tube : contains all particles going through dA dA A v
28. Point Charge opposing Conductor Opposing charges: dipolar field Field lines and equipotential surfaces Charge opposing conductor: image charge inside conductor + +
29. Point charge opposing flat conductor Question: determine (r) [C/m 2 ] Applying image charge and Coulomb: + d Q Cross section E Gauss box: ring-shaped box with radii: r and r+dr r 0
30. Electric field at Interface Surface charge: [C/m 2 ] Thin Gauss box: E - E = / 0 E e n Rectangular loop: E // = E //
31. Energy of/in Charge Distribution Energy for creation = energy for destruction Total Energy released upon destruction : E tot + .............................................. + 2 Q 2 Q 3 Q 4 r 12 r 14 Q 1 r ij =r ji
32. Energy to Charge a Capacitor Question : Energy to charge capacitor C up to end charge Q E Suppose: “Now” already charge Q present potential V=Q / C Adding charge q : does this cost extra energy q.V ? No, because during addition V will change! V = f (Q) Approach : add dQ ; then V remains constant This will cost energy: dE = V.dQ = (Q / C) . dQ In total, charge from 0 to Q E :
33. Change Spacing in a flat Capacitor Important variables: V (=const.) ; C, Q, E all f (s) Energy balance: net supplied energy = growth of field energy Supplied: mechanical and electrical (from battery) ~ A ; ~ s -2 ; ~ V 2 Question: Energy and force to change spacing s to s+ds F Suppose : capacitor connected to battery, potential V s V
34. Conductor: Field at Boundary Everywhere on A: E dA Suppose charge density [C/m 2 ] is f (position) Gauss: E . dA = dA / 0 E = / 0 Self-field of box dA: E s = / 2 0 Field from other charges outside box dA: E oc = / 2 0 A + + + + + + + + + + + + + + + + + + + + E =0 dA E E s E s E oc E oc A dA E
35. Electrical Dipole (1): Far-field Dipole moment: p = q a Potential field (with respect to ) : Far-field approximation: P - q + q a Definition: - q + q a r - r + P - q + q r - r + r a. cos a e r p
36. Electrical Dipole (2): components E = E r e r + E e + E e E = - grad V r P d d e e e r ds r ds ds
37. Electrical Dipole (3): field lines E = E r e r + E e E r E r e r e Field lines perpendicular to equipotential planes
38. Electrical Dipole (4): potential energy Potential energy of a dipole in an homogeneous external field E ext Dipole: p = q a Energetically most favourable orientation: = 0 Minimum energy level E (0). Work needed to rotate dipole from = 0 to : Set zero level: E (0) = - pE ext Potential energy: E ( )= - pE ext .cos E ( )= - p . E ext E ext a. cos E ( ) - E (0) =
39. Electrical Dipole (5): torque Dipole: p = q a Torque at angle : = p E ext | | = 2 F E . ½ a. sin = p E ext sin Direction given by right-hand rule: Torque of a dipole in an homogeneous external field E ext a. cos E ext Electrical force F E on + and - charge
40. Polarization of a Dielectric V = s . dA dQ= n Q s .dA = n p .dA = P . dA = P . dA Internal polarization shows itself as bound surface charge dA Unpolarized molecule ( n mol / m 3 ) E ext = 0 E ext 0 s Separation of charges Dipole: p = q s s = s + - s - s + s - dA Charge transport through internal surface element dA : dQ = N + Q - N - (-Q) = (N + + N - )Q = n.VQ , with V = vol s dA
41. Volume polarization Surface Charge dz Approach : replace dz- integration with dr -integration dp = np.dv = np.dS .dz = P.dS .dr / cos P.dS = P.dS Polarization = surface charges !! z x y P = n p Suppose : n dipoles/m 3 ; each dipole moment p Assume : Z-axis // p A Question : calculate V in A dz A dr r dr = dz. cos r r top r bottom z’ dS dv=dz.dS d d
42. Dielectric Displacement Consider field as representing imaginairy flow D 0 of charges: D 0 = 0 E 0 = Q 0 / S [C/m 2 ] Total charge delivered by battery: Q = Q 0 + Q V 0 +Q 0 -Q 0 1. Upon closing switch: Plates will be charged: Q 0 E 0 Between plates: no flow of charges, but E -field present 2. Insert dielectricum, with V 0 = const. - Q + Q E remains const. extra charge Q needed Now in dielectricum real flow of (bound polarization) charges Q = P.S P V 0 E E Field Free Bound Charges
43. E -field at interface Given : E 1 ; 1 ; 2 Question : Calculate E 2 Needed: “Interface-crossing relations”: Relation D and E: D = 0 r E E 1 E 2 1 2 1 2 Gauss box (empty!): D 1 .A cos 1 - D 2 .A cos 2 =0 D 1 = D 2 Circuit: E 1 .L sin 1 - E 2 .L sin 2 = 0 E 1 // = E 2 //
44. Electret: D and E not always parallel . E D Electret P - - - +++ E = ( D-P ) / 0 D = 0 E + P P D 0 E
45. Capacitors: series and parallel C 1 and C 2 : same V C 1 and C 2 : same Q Q 1 + Q 2 = Q 0 V 1 + V 2 = V 0 V 1 = V 2 = V 0 Q 1 = Q 2 = Q 0 C 0 = C 1 + C 2 C 0 ± Q 0 C 0 ± Q 0 C 1 C 2 ± Q 2 ± Q 1 Series C 2 C 1 ± Q 2 ± Q 1 Parallel