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
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
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...journalBEEI
The wave concept iterative process is a procedure used for analyses a planar circuits This method consists in generating a recursive relationship between a wave source and reflected waves from the discontinuity plane which is divided into cells. A high computational speed has been achieved by using Fast Modal Transform (FMT). In this paper we study a patch antenna and multilayer circuits, to determine the electromagnetic characteristics of these structures.
This presentation explains about the introduction of Bode Plot, advantages of bode plot and also steps to draw Bode plot (Magnitude plot and phase plot). It explains basic or key factors used for drawing Bode plot. It also explains how to determine Magnitude, phase and slope for basic factors. It also explains how to determine stability by using Bode Plot and also how to determine Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin. It also explains drawing Bode plot with an example and also determines stability by using Bode Plot and also determines Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin.
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...journalBEEI
The wave concept iterative process is a procedure used for analyses a planar circuits This method consists in generating a recursive relationship between a wave source and reflected waves from the discontinuity plane which is divided into cells. A high computational speed has been achieved by using Fast Modal Transform (FMT). In this paper we study a patch antenna and multilayer circuits, to determine the electromagnetic characteristics of these structures.
This presentation explains about the introduction of Bode Plot, advantages of bode plot and also steps to draw Bode plot (Magnitude plot and phase plot). It explains basic or key factors used for drawing Bode plot. It also explains how to determine Magnitude, phase and slope for basic factors. It also explains how to determine stability by using Bode Plot and also how to determine Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin. It also explains drawing Bode plot with an example and also determines stability by using Bode Plot and also determines Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin.
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)
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
2. Magnetic Force on Current Wire Lorentz force on one charge: F = q v x B … .. per unit of volume : f = nq v x B = j x B … .. on volume dV : dF = j x B. dV dF = j x B. dS.dl j = j. e T dF = j.dS. e T x B . dl dF = I . dl x B F = I. e T x B dl = F = I. L. e T x B e T dS dl =dl. e T | j | = dI/dS j = n q v (n = part./m 3 ) Suppose: total current = I ; cross section S variable B Straight conductor in homogeneous field: B
3. Hall effect B-field causes deviation of path of charge carriers Stationary case: F magn = F elec q v B = q E Hall Build up of electric field E Hall between Q and P: Q+ ; P- With j = nqv = I/ ( ad ) G H P Q B I I d l a Suppose n charge carriers / m 3 F v
4. Magnetic field of a line current Integration over z from - to + Integration over from 0 to I P R Question : Determine B in P O dl=dz e r Approach : Current line elements dl dl =dl. e T z r Calculation: e T x e r = e ; tangential component only: dB dB e
5. Magnetic field of a circular circuit Question : Determine B in P P R y I l a Approach : Current line elements dl r e r dl dl = dl. e T R r a dB P dB y Calculation: e T x e r = 1 ; symmetry: y- component only: dB dB y
6. Magnetic field of a circular solenoid Each circuit: strip dy; current dI = n.dy.I Result independent of a, L Radius: a ; Current I Length: L Coils: N , or per meter: n Approach: Solenoid = set of circular circuits ; and for each circuit: R is distance from circuit to P Question: Determine B in P y P Result for L : B = 0 n I e y P O y y P L a dy y R=y p -y R
7. Magnetic forces between currents Question: determine F 1 2 1 2 I 1 I 2 r 12 e T1 e T2 e r1 e 1 Relations: F 1 2 B 1 2 Calculation
8. Why is the wire moved by Lorentz force ? (since inside the wire only the conduction electrons move) This force (= F L ) is electrical !! + + + + + + + + + + + + + + + + + + + + + I I electron Conductor : - fixed ion lattice, - conduction electrons Hall effect: concentration of electrons (- charge) at one side of conductor - - - - - - - - Lattice ions feel a force F E upwards + F E B v F L -q B Magnetic field B plane of drawing
9. Ampère’s Law (1) I Long thin straight wire; current I B e r Question : Determine the “ Circulation of B -field” along circle l l
10. Ampère’s Law (2) I B e r l Consequences: 1. More currents through c add up ; 2. Currents outside c do not contribute ; 3. Position of current inside c is not important. Question : Determine the “ Circulation of B -field” along circuit c c r B dl =r. d d
11. B -field from a thick wire Options for current : I: at surface II: in volume (suppose: homogeneous) I Cylinder: radius a Use Ampere-circuits (radius r):
12. Magnetic Induction of a Solenoid Result: inside: B = 0 n I e z outside: B = 0 Radius: R ; Current: I Length: L >> R Coils: n per meter I e z e r e Components: B z B r B G B r : Gauss-box G : total =0 top = bottom wall =0 B r =0 B r c c B : Circuit c (radius r): Ampere: B .2 r=0 B =0 B 1 2 B z : Circuit 2 : B(a)=B(b)=0 Circuit 1: Ampere: B z l= 0 n I l a b l B z
13. Symmetries for Ampere’s Law Wire, long Plane, extending Solenoid, long Toroid, along core line
14. Magnetic Pressure Magnetic pressure: P = ½ 0 j 2 = ½B e 2 / 0 . Example : this situation is met at the wall of a (long) solenoid. Then the pressure is outward, thus maximizing the cross section area. Plane layer L with current density j j L Suppose we add an external field B e , with B e = B L , so that the total field behind the layer = 0 B e j Lorentz force on : ( F L = I.L. e T B ): dF L = ( j .db).dl ½ 0 j e z dF L = ½ 0 j 2 .db.dl e y dl db B e dF L B -field of the layer (circuit l ): 2 B L l = 0 j l B L = ½ 0 j e z l z B L B L x y
15. Vectorpotential A r = f (x,y,z, x’,y’,z’ ) } e r P (x,y,z) r d v ’ Flow tube v’ x’,y’,z’ B = rot A Question: determine A in P from Biot-Savart for B j
16. Magnetic Dipole (1): Far Field Far field: r’ << r P Monopole-term =0 Dipole-term Goal : expression in r P in stead of all r-values over circuit r P r r’ O e rP dl P I
17. Magnetic Dipole (2): Dipole Moment Assume: Y-axis along OP’ Assume: circular circuit, with radius R << r P P P’ y x z r’ e rP r P O Define: dipole moment : m = I. Area. e n = I R 2 . e n e n
18. Magnetization and Polarization Total surface current = I tot Total magnetic moment = I tot S e n L S e n Magnet = set of “elementary circuits” ; n per m 3 Polarization Magnetization Dipole moment: p [Cm] Dipole moment: m [Am 2 ] Polarization P = n p [Cm -2 ] = surface charge / m 2 Magnetization M = n m [Am -1 ] = surface current / m Def .: Magnetization M = magnetic moment / volume = surface current / length V=SL
19. Magnetic circuit: T orque and Energy Torque: moment : = F . b sin = I B l b sin = I B S sin Magnetic dipole moment: m = I S e n Torque: moment: = m x B Potential energy: min for = 0 ; max for = Potential energy: E pot = -MB. cos = - m . B B m F F F F m B b l b.sin I
20. Electret and Magnet E D H B Electret P - - - +++ E = ( D-P )/ 0 D = 0 E + P Magnet M H = B / 0 - M B = 0 H + M
21. B- and H- fields at interface Given : B 1 ; 1 ; 2 Question : Calculate B 2 B 1 B 2 1 2 1 2 Gauss box : B 1 .Acos 1 - B 2 .Acos 2 =0 B 1 = B 2 Circuit: : no I : H 1 .Lsin 1 - H 2 .Lsin 2 =0 H 1// = H 2// Needed: “Interface-crossing relations”: Relation H and B: B = 0 r H
22. Toroid with air gap Question: Determine H g in gap H g d + H m (L-d) = N I B g =B m B g = o H g ; B m = 0 r H m Suppose: - toroid solenoid: R, L, N, r ; - air gap, r =1 , width d <<R; g = gap ; m = metal I Core line; radius R; L = 2 R Relations: Result: d
23. Induction: conductor moves in field E n = non-electrostatic field B v L 1 (t) L 2 (t+dt ) Suppose: circuit L moves with velocity v through field B Question: Show equivalence: v .dt dl Area = v dt dl sin Gauss box : top lid S 1 in L 1 , bottom lid S 2 in L 2 S 1 S 2
24. Induction: Faraday’s Law Suppose changes V ind 0 Non-electrostatic field E N V 0 B c S I 0 Static: V ind Dynamic: B c S I ind Consequence: Let circuit c shrink, with keeping S. S c c S For closed surface :
25. Induction in rotating circuit frame Induction potential difference : (II) Using flux change: B ext e n B ext b l v v v e n = t ; v= ½b (I) Using Lorentz force: = E N
26. Electromagnetic brakes Why is a conducting wire decelerated by a magnetic field? Case I: switch open P Q v B Electrons feel F L F L P Q v B Case II: switch closed Potential difference V PQ : P - , Q + (= Hall effect) ++ ++ - - - - F L v L F L moves electrons: v L , which will act on positive metal ions: F ions . F ions F E F L counteracted by F E I F L2 which causes I and F L2 , ++ ++ - - - - which causes electric field,
27. Coupled circuits (1): M and L Flux through 2: 2 = 21 + 22 = M 21 I 1 + M 22 I 2 M and L are geometrical functions (shape, orientation, distance etc.) 1 2 I 1 Suppose: circuit 1 with current I 1 Part of flux from 1 will pass through 2 : 21 21 ~ I 1 Definition: 21 = M 21 .I 1 M : coefficient of mutual induction : “Mutual Inductance” : [ H ] = [ NA -1 m -1 .m 2 .A -1 ] = [ NmA -2 ] Suppose: Circuit 2 has current as well: I 2 I 2 L : coefficient of self-induction “(Self) Inductance”: M 22 = L 2
28. Coupled circuits (2): toroid Question: determine M 21 Flux from 1 through S : S = BS = 0 r N 1 I 1 S / L Linked flux from 1 through 2: 21 = N 2 S = 0 r N 1 N 2 I 1 S / L This result is generally valid: M ij = M j i Cross section S N 1 , I 1 N 2 Core line: L r Coefficient of mutual induction: M 21 = 0 r N 1 N 2 S / L This expression is symmetrical in 1 and 2: M 21 = M 12
29. Coax cable : Self inductance Flux through circuit: Radii: a and b (a<b) Length: l Current: I ; choice: inside = upward I Ampere : B -field tangential Self-inductance (coefficient of self-induction): per unit of length: (Compare with capacity of coax cable, per meter: Gauss surface B
30. Magnetic Field Energy Magnetic energy : E m = ½ L I 2 = x z y I Circuit c in XY-plane H H -field lines: circles around circuit. A A-surfaces : everywhere H (or B ) -field lines through A: dA dl Compare: electric energy: E e =
31. Maxwell’s Fix of Ampere’s Law Changing B -field causes E -field Question : Does a changing E -field cause a B -field ? j Suppose : chargeing a capacitor using j L S 1 L encloses S 1 : S 2 L encloses S 2 : L encloses S 3 : S 3 Volume enclosed by S 2 and S 3 : D