This document summarizes the modeling parameters and performance of the uPC78N08H voltage regulator. It includes:
1) A list of model parameters used in the PSpice model including reference voltage, emission coefficient, and capacitance values.
2) Simulation results showing the input-output voltage differential is within 0.008% of measurements.
3) Ripple rejection ratio simulation of 67.535dB is within -0.684% of measured value.
4) Output characteristic simulation of 7.9796V is within -0.255% of measured 8V output voltage.
This document summarizes the modeling parameters and performance of the uPC78N08H voltage regulator. It includes:
1) A list of model parameters used in the PSpice model including reference voltage, emission coefficient, and capacitance values.
2) Simulation results showing the input-output voltage differential is within 0.008% of measurements.
3) Ripple rejection ratio simulation of 67.535dB is within -0.684% of measured value.
4) Output characteristic simulation of 7.9796V is within -0.255% of measured 8V output voltage.
This document summarizes the modeling parameters and performance of the uPC78N24H voltage regulator. It includes:
1) A list of model parameters for the regulator including reference voltage, emission coefficient, and capacitance values.
2) Simulation results showing the input-output voltage differential is within 0.2% of measurements.
3) Ripple rejection ratio simulation matching measurements within 5%.
4) Output voltage simulation matching measurements to within 0.05% under varying load and input conditions.
This document summarizes the test results of a voltage regulator component. It describes the manufacturer, part number, and PSpice model parameters. It then provides the results of simulating the input-output voltage differential characteristic, ripple rejection ratio, and output characteristic. The simulation results match well with measurements, with less than 1% error in most cases.
This document summarizes the modeling parameters and performance of a voltage regulator component. It describes the manufacturer, part number, and modeling parameters. It then provides simulation results and comparisons to measurements for key characteristics like input-output voltage differential, ripple rejection ratio, and output voltage. The simulations show good agreement with measurements within 1% error for most test cases.
This document summarizes the modeling parameters and performance of a voltage regulator component. It describes the manufacturer, part number, and key electrical parameters used in the PSpice model. Simulation results show the input-output voltage differential is within 0.2% of measured, and ripple rejection ratio matches measured performance. The output characteristic under varying load and input conditions is also modeled within 0.2% accuracy.
This document summarizes the modeling parameters and performance of the uPC78N24H voltage regulator. It includes:
1) A list of model parameters for the regulator including reference voltage, emission coefficient, and capacitance values.
2) Simulation results showing the input-output voltage differential is within 0.2% of measurements.
3) Ripple rejection ratio simulation matching measurements within 5%.
4) Output voltage simulation matching measurements to within 0.05% under varying load and input conditions.
This document summarizes the test results of a voltage regulator component. It describes the manufacturer, part number, and PSpice model parameters. It then provides the results of simulating the input-output voltage differential characteristic, ripple rejection ratio, and output characteristic. The simulation results match well with measurements, with less than 1% error in most cases.
This document summarizes the modeling parameters and performance of a voltage regulator component. It describes the manufacturer, part number, and modeling parameters. It then provides simulation results and comparisons to measurements for key characteristics like input-output voltage differential, ripple rejection ratio, and output voltage. The simulations show good agreement with measurements within 1% error for most test cases.
This document summarizes the modeling parameters and performance of a voltage regulator component. It describes the manufacturer, part number, and key electrical parameters used in the PSpice model. Simulation results show the input-output voltage differential is within 0.2% of measured, and ripple rejection ratio matches measured performance. The output characteristic under varying load and input conditions is also modeled within 0.2% accuracy.
Giới thiệu chung về dịch vụ khảo sát thị trường trực tuyến của InfoQNắng Non
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Yu-Kang Cheng is seeking an opportunity as an International Outreach Counselor. He has 3 years of experience in sales, customer service, and recreation planning. Currently pursuing an MS in Recreation, Sports, and Tourism Management from CSUN with a GPA of 3.5, he has held internships in marketing and events. Previously working as a real estate supervisor in Taiwan, he is a goal-oriented team player with leadership skills and experience in business development.
Resident Evil: Afterlife grossed $296 million worldwide, the highest of the franchise. This proved Paul W.S. Anderson's return as director was successful. The fifth installment, Resident Evil: Retribution, is set for release next year with Anderson directing again. Star Milla Jovovich has been posting on Twitter about castings, stunts, and revealed the film will include the Las Plagas parasite.
El documento resume los momentos más significativos de la historia de las TIC en México, comenzando con la llegada de la primera computadora IBM 650 a la UNAM en 1958 y continuando hasta 2003 con la introducción del microprocesador Athlon XP 3000t de AMD. Se describen hitos tecnológicos como la aparición del teclado y mouse, el disco duro, las primeras computadoras personales y portátiles, el desarrollo de Windows y el surgimiento de Internet.
This document introduces Emily Austin Austrian Crystal Designs, a jewelry company that proudly makes its jewelry in Scottsdale, Arizona. The company offers baseball, golf, yoga, tennis, football, ballroom, soccer, and basketball-themed jewelry as well as evil eye bracelets and wedding jewelry. It also provides information about color charts, trunk shows, retailers, press, affiliates, and contact details. The document is copyrighted by Emily Austin in 2013.
O documento descreve uma corrida e caminhada realizada no Rio de Janeiro para arrecadar fundos para entidades que ajudam portadores de câncer de mama. Também discute a importância do autoexame e detecção precoce do câncer de mama, e apresenta a Fundação Laço Rosa, que oferece perucas gratuitas para pessoas em tratamento e trabalha com prevenção e apoio a pacientes.
El documento discute los desafíos del uso de la tecnología en la educación, tanto en el aula como en la capacitación laboral. Señala que aún existen muchas preguntas sin respuesta sobre cómo afecta efectivamente el aprendizaje y cuáles son los factores que influyen, y que esto dificulta la creación de nuevos modelos educativos basados en la tecnología. También examina la resistencia de los docentes al cambio y la necesidad de que desarrollen nuevas competencias para integrar mejor las tecnologías en sus en
The document contains requests for changes to be made to a final piece, including changing the color of a character's jeans to black, moving the issue date below the logo and stretching the skyline graphic across the page with a red background, editing a letter in a word so white bits are not visible, and moving a text line up closer to other lines to reduce spacing.
The document summarizes the events of West Yorkshire's darkest night of March 14-15, 1941. It describes air raid alerts in Leeds on the evening of March 14th and sustained bombing overnight into March 15th. Several buildings in Leeds were hit by incendiary bombs and high explosives, including the Town Hall, Museum, and numerous fires at markets and other locations. The casualty report listed 65 people killed, including 8 children, and 258 injured as a result of the heavy bombing over those two nights in Leeds.
E-Discovery in Litigation and Records Retentionwcodell
This document discusses electronically stored information (ESI) in the context of litigation and records retention. It defines ESI and common sources of ESI such as email, documents, spreadsheets, databases, and handheld devices. It explains that companies involved in litigation must implement litigation holds to preserve potentially relevant documents. Failure to properly preserve ESI can result in sanctions from courts. The document also outlines best practices for developing an ESI management policy to comply with legal requirements and avoid sanctions, including understanding preservation duties, having a retention plan, and identifying challenges with electronic evidence.
This document summarizes the modeling parameters and performance of a voltage regulator component. It describes the manufacturer, part number, and key electrical parameters used in the PSpice model. Simulation results show the input-output voltage differential is within 0.035% of measured, and ripple rejection ratio is within 1.808% of measured. The maximum output voltage error shown in simulation is 0.447% compared to measurement.
Update 22 models(Schottky Rectifier ) in SPICE PARK(APR2024)Tsuyoshi Horigome
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The document provides an inventory update from April 2024 of the Spice Park collection which contains 6,747 electronic components. It includes tables listing the types of semiconductor components, passive parts, batteries, mechanical parts, motors, and lamps in the collection along with their manufacturer and quantities. One of the semiconductor components, the general purpose rectifier diode, is broken down into a more detailed table with 116 entries providing part numbers, manufacturers, thermal ratings, and remarks.
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This document provides an inventory list of parts at Spice Park as of March 2024. It contains 3 sections - Semiconductor parts (diodes, transistors, ICs etc.), Passive parts (capacitors, resistors etc.), and Battery parts. For Semiconductor parts, it lists 36 different part types and provides the quantity of each part. It then provides further details of Diode/General Purpose Rectifiers, listing the manufacturer and quantity of 652 individual part numbers.
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The document provides an inventory update from February 2024 of Spice Park, which contains 6,694 electronic components. It lists the components by type (e.g. semiconductor), part number, manufacturer, thermal rating, and quantity on hand. For example, it shows that there are 621 general purpose rectifier diodes from manufacturers such as Fairchild, Fuji, Intersil, Rohm, Shindengen, and Toshiba. The detailed four-page section provides further information on the first item, general purpose rectifier diodes, including 152 individual part numbers and specifications.
This document discusses circuit simulations using LTspice. It describes driving a circuit simulation by inserting a 250 ohm resistor between the output terminals. It also describes simulating a 1 channel bridge circuit where the DUT1 and DUT2 resistors are both set to 100 ohms and the input voltage is set to either 1V or 5V.
This document discusses parametric sweeps of external and internal resistance values Rg for circuit simulation in LTspice. It also references outputting a waveform similar to a report on fall time characteristics for a device modeling report with customer Samsung.
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!
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
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Fueling AI with Great Data with Airbyte WebinarZilliz
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Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
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7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
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9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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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
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Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
1. Device Modeling Report
COMPONENTS : VOLTAGE REGULATOR
PART NUMBER : uPC78M08A
MANUFACTURER : NEC Electronics Corporation
Panasonic
Bee Technologies Inc.
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
2. MODEL PARAMETER
Pspice
model Model description
parameter
VREF Reference Voltage
N Emission Coefficient
BETA Tranconductance of JFET Transistor
VAF Early Voltage of Output Pass Transistor
CPZ Output Impedance Zero Capacitor
RB2 Base Resistance of Output Limit Voltage Source
ESC1 Coefficient of Current Limit Voltage Source
ESC2 Coefficient of Current Limit Voltage Source
EFB1 Coefficient of Foldback Current Voltage Source
EFB2 Coefficient of Foldback Current Voltage Source
EFB3 Coefficient of Foldback Current Voltage Source
EB Non-ideal Base-Collector Diode Saturation Current
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
3. Input-Output Voltage Differential Characteristic
Evaluation Circuit
U1
1 3
IN OUT
GND UPC78M08A
2
V1 RL
14 Cout
22.85
0.1u
0
Simulation result
Input - Output
Input
Example
VIN - VOUT Measurement Simulation % Error
14 (V) – 8 (V) 6 (V) 5.9965 (V) -0.058
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
4. Ripple Rejection (RR) Characteristic
Evaluation Circuit
U1
Vin Vout
1 3
IN OUT
GND UPC78M08A
2
D1 D2
S1VBA S1VBA C1 Cout RL
0.47u 0.1u 22.85
V1 D3 D4
VOFF = 0
VAMPL = 1 S1VBA S1VBA
FREQ = 120
V2
14
0
Simulation result
Output
Input
Comparison Table
Measurement Simulation % Error
Ripple rejection ratio
(dB)
81 80 -1.235
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004