Microchip's PIC Micro Controller - Presentation Covers- Embedded system,Application, Harvard and Von Newman Architecture, PIC Microcontroller Instruction Set, PIC assembly language programming, PIC Basic circuit design and its programming etc.
Microchip's PIC Micro Controller - Presentation Covers- Embedded system,Application, Harvard and Von Newman Architecture, PIC Microcontroller Instruction Set, PIC assembly language programming, PIC Basic circuit design and its programming etc.
This note is more helpful to S7 CSE students Under kerala University. It Contains the architecture and memory organization PIC 16f873 Microcontrollers.
Arm cortex (lpc 2148) based motor speedUday Wankar
The project is designed to control the speed of a DC and AC motor using an
ARM7 LPC2148 processor. The speed of motor is directly proportional to the voltage
applied across its terminals. Hence, if voltage across motor terminal is varied, then
speed can also be varied. This project uses the above principle to control the speed of
the motor by varying the duty cycle of the pulses applied to it, popularly known as
PWM control. The project uses input button interfaced to the processor, which are
used to control the speed of motor. Pulse Width Modulation is generated at the output
by the microcontroller as per the program. The program is written in Embedded C.
The average voltage given or the average current flowing through the motor
will change depending on the duty cycle, ON and OFF time of the pulses, so the speed
of the motor will change. A motor driver IC is interfaced to the ARM7 LPC2148
processor board for receiving PWM signals and delivering desired output for speed
control. Further the project can be enhanced by using power electronic devices such
as IGBTs to achieve speed control higher capacity industrial motors.
This Presentation describes the ARM CORTEX M3 core processor with the details of the core peripherals. Soon a CORTEX base controller(STM32F100RBT6) ppt will be uploaded. For more information mail me at:gaurav.iitkg@gmail.com.
Presents features of ARM Processors, ARM architecture variants and Processor families. Further presents, ARM v4T architecture, ARM7-TDMI processor: Register organization, pipelining, modes, exception handling, bus architecture, debug architecture and interface signals.
This note is more helpful to S7 CSE students Under kerala University. It Contains the architecture and memory organization PIC 16f873 Microcontrollers.
Arm cortex (lpc 2148) based motor speedUday Wankar
The project is designed to control the speed of a DC and AC motor using an
ARM7 LPC2148 processor. The speed of motor is directly proportional to the voltage
applied across its terminals. Hence, if voltage across motor terminal is varied, then
speed can also be varied. This project uses the above principle to control the speed of
the motor by varying the duty cycle of the pulses applied to it, popularly known as
PWM control. The project uses input button interfaced to the processor, which are
used to control the speed of motor. Pulse Width Modulation is generated at the output
by the microcontroller as per the program. The program is written in Embedded C.
The average voltage given or the average current flowing through the motor
will change depending on the duty cycle, ON and OFF time of the pulses, so the speed
of the motor will change. A motor driver IC is interfaced to the ARM7 LPC2148
processor board for receiving PWM signals and delivering desired output for speed
control. Further the project can be enhanced by using power electronic devices such
as IGBTs to achieve speed control higher capacity industrial motors.
This Presentation describes the ARM CORTEX M3 core processor with the details of the core peripherals. Soon a CORTEX base controller(STM32F100RBT6) ppt will be uploaded. For more information mail me at:gaurav.iitkg@gmail.com.
Presents features of ARM Processors, ARM architecture variants and Processor families. Further presents, ARM v4T architecture, ARM7-TDMI processor: Register organization, pipelining, modes, exception handling, bus architecture, debug architecture and interface signals.
The ATmega16A is a low-power CMOS 8-bit microcontroller based on the AVR enhanced RISC
architecture. By executing powerful instructions in a single clock cycle, the ATmega16A
achieves throughputs approaching 1 MIPS per MHz allowing the system designer to optimize
power consumption versus processing speed.
atemega adalah salah satu mikrokontroller yang banyak digunakan dalam pembuatan otomasi kontrol. mikrokontroller akan berguna layaknya sebuah CPU(central processing unit) dalam komputer.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
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.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...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.
10. Watchdog Timer (WDT) • Internally resets chip if not periodically reloaded. • Supports Debug mode. • Watchdog timer is enabled by software but requires a hardware reset or a watchdog reset/interrupt to be disabled. • Incorrect/Incomplete feed sequence causes reset/interrupt if enabled. • Flag indicates watchdog reset. • Includes programmable 32-bit timer with internal pre-scaler. • Time period can be selected from (TPCLK x 256 x 4) to (TPCLK x 232 x 4) in multiples of TPCLK x 4.