This document summarizes the modeling and characterization of the 2SA1837 transistor from Toshiba. It includes:
- A list of the PSpice model parameters for the transistor.
- Graphs of measurements and simulations showing the transistor's reverse and forward early voltage characteristics, DC beta, capacitances, gain vs. collector current, saturation voltages and switching times.
- A circuit diagram used to simulate the output characteristics with varying base currents.
This document summarizes the modeling and characterization of the 2SA1837 transistor from Toshiba. It includes:
- A list of the PSpice model parameters for the transistor.
- Graphs of measurements and simulations showing the transistor's reverse and forward early voltage characteristics, DC beta, capacitances, gain vs. collector current, saturation voltages and switching times.
- A circuit diagram used to simulate the output characteristics with varying base currents.
This document summarizes the modeling of the 2SA1680 transistor from Toshiba. It includes the PSpice model parameters and their descriptions. Graphs show simulations of characteristics like reverse/forward early voltage, DC beta, capacitance, hFE vs IC, VCE saturation, VBE saturation, and switching/output characteristics. The simulations closely match experimental measurements, validating the accuracy of the transistor model.
SPICE MODEL of 2SC3328(Y) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
This document summarizes the modeling and characterization of the 2SC4793 transistor manufactured by Toshiba. It includes:
- A list of PSpice model parameters for the transistor.
- Graphs of measurements and simulations showing the transistor's gain, capacitance, saturation voltage, switching time and other characteristics.
- Tables comparing measurement and simulation results to validate the accuracy of the PSpice model.
This document summarizes the modeling and characterization of the NEC 2SC3632 transistor. It includes PSpice model parameters, measurements and simulations of key transistor characteristics like gain, saturation voltage, switching times and output characteristics. Graphs compare measurement data to simulation results with good agreement. The report establishes an accurate model for representing this transistor in circuit simulations.
SPICE MODEL of 2SA1298(Y) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
This document contains a transistor modeling report for a NEC 2SC4331-AZ(K) transistor. It includes:
1) A description of the PSpice model parameters for the transistor.
2) Graphs of various transistor characteristics like the reverse/forward early voltage, DC beta, capacitance, and more.
3) Circuit simulations and comparisons with measurement data for characteristics like hFE-IC, VCE(sat)-IC, switching times, and the output characteristic.
The report provides a detailed characterization of the electrical behavior and performance of the transistor through measurements and PSpice simulations.
This document summarizes the modeling of the 2SA1680 transistor from Toshiba. It includes the PSpice model parameters and their descriptions. Graphs show simulations of characteristics like reverse/forward early voltage, DC beta, capacitance, hFE vs IC, VCE saturation, VBE saturation, and switching/output characteristics. The simulations closely match experimental measurements, validating the accuracy of the transistor model.
SPICE MODEL of 2SC3328(Y) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
This document summarizes the modeling and characterization of the 2SC4793 transistor manufactured by Toshiba. It includes:
- A list of PSpice model parameters for the transistor.
- Graphs of measurements and simulations showing the transistor's gain, capacitance, saturation voltage, switching time and other characteristics.
- Tables comparing measurement and simulation results to validate the accuracy of the PSpice model.
This document summarizes the modeling and characterization of the NEC 2SC3632 transistor. It includes PSpice model parameters, measurements and simulations of key transistor characteristics like gain, saturation voltage, switching times and output characteristics. Graphs compare measurement data to simulation results with good agreement. The report establishes an accurate model for representing this transistor in circuit simulations.
SPICE MODEL of 2SA1298(Y) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
This document contains a transistor modeling report for a NEC 2SC4331-AZ(K) transistor. It includes:
1) A description of the PSpice model parameters for the transistor.
2) Graphs of various transistor characteristics like the reverse/forward early voltage, DC beta, capacitance, and more.
3) Circuit simulations and comparisons with measurement data for characteristics like hFE-IC, VCE(sat)-IC, switching times, and the output characteristic.
The report provides a detailed characterization of the electrical behavior and performance of the transistor through measurements and PSpice simulations.
SPICE MODEL of 2SC3632-AZ in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
This document summarizes the modeling of the 2SC5808-TL-E transistor. It includes:
1) A list of the transistor model parameters and their descriptions.
2) Graphs of various transistor characteristics like the reverse/forward early voltage, DC beta, capacitance, and more from both measurement and simulation results.
3) Tables comparing measurement and simulation results for characteristics like hFE-IC, VCE(sat)-IC, and switching times.
4) Circuit diagrams used to simulate the transistor characteristics.
SPICE MODEL of 2SA1202(Y) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 2SC5980-TL-E in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
Update 22 models(Schottky Rectifier ) in SPICE PARK(APR2024)Tsuyoshi Horigome
This document provides an inventory update of 6,747 parts at Spice Park as of April 2024. It lists the part numbers, manufacturers, and quantities of various semiconductor components, including 1,697 Schottky rectifier diodes from 29 different manufacturers. It also includes details on passive components, batteries, mechanical parts, motors, and lamps in the inventory.
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.
Update 31 models(Diode/General ) in SPICE PARK(MAR2024)Tsuyoshi Horigome
The document provides an inventory update from March 2024 of parts in the Spice Park warehouse. It lists 6,725 total parts across various categories including semiconductors, passive parts, batteries, mechanical parts, motors, and lamps. The semiconductor section lists 652 general purpose rectifier diodes from 18 different manufacturers with quantities ranging from 2 to 145 pieces.
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.
Update 29 models(Solar cell) in SPICE PARK(FEB2024)Tsuyoshi Horigome
The document provides an inventory update from February 2024 of Spice Park, which contains 6,694 total pieces of electronic components and parts. It lists 36 categories of semiconductor devices, 11 categories of passive parts, 10 types of batteries, 5 mechanical parts, DC motors, lamps, and power supplies. It provides the most detailed listing for solar cells, with 1,003 total pieces from 51 manufacturers listed with part numbers.
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.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
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
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
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
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
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.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Leveraging the Graph for Clinical Trials and Standards
SPICE MODEL of 2SC5201 in SPICE PARK
1. Device Modeling Report
COMPONENTS: TRANSISTOR
PART NUMBER: 2SC5201
MANUFACTURER: TOSHIBA
Bee Technologies Inc.
All Rights Reserved Copyright (c) Bee Technologies Inc. 2006
2. TRANSISTOR MODEL
PSpice
model Model description
parameter
IS Saturation Current
BF Ideal Maximum Forward Beta
NF Forward Current Emission Coefficient
VAF Forward Early Voltage
IKF Forward Beta Roll-off Knee Current
ISE Non-ideal Base-Emitter Diode Saturation Current
NE Non-ideal Base-Emitter Diode Emission Coefficient
BR Ideal Maximum Reverse Beta
NR Reverse Emission Coefficient
VAR Reverse Early Voltage
IKR Reverse Beta Roll-off Knee Current
ISC Non-ideal Base-Collector Diode Saturation Current
NC Non-ideal Base-Collector Diode Emission Coefficient
NK Forward Beta Roll-off Slope Exponent
RE Emitter Resistance
RB Base Resistance
RC Series Collector Resistance
CJE Zero-bias Emitter-Base Junction Capacitance
VJE Emitter-Base Junction Potential
MJE Emitter-Base Junction Grading Coefficient
CJC Zero-bias Collector-Base Junction Capacitance
VJC Collector-base Junction Potential
MJC Collector-base Junction Grading Coefficient
Coefficient for Onset of Forward-bias Depletion
FC
Capacitance
TF Forward Transit Time
XTF Coefficient for TF Dependency on Vce
VTF Voltage for TF Dependency on Vce
ITF Current for TF Dependency on Ic
PTF Excess Phase at f=1/2pi*TF
TR Reverse Transit Time
EG Activation Energy
XTB Forward Beta Temperature Coefficient
XTI Temperature Coefficient for IS
All Rights Reserved Copyright (c) Bee Technologies Inc. 2006
3. Reverse
Reverse Early Voltage Characteristic
Ic
VAR
Vce
Y=aX+b
(X1,Y1)
(X2,Y2)
All Rights Reserved Copyright (c) Bee Technologies Inc. 2006
4. Reverse DC Beta Characteristic (Ie vs. hFE)
Measurement
Simulation
Emitter Current
All Rights Reserved Copyright (c) Bee Technologies Inc. 2006
5. Forward
Forward Early Voltage Characteristic
Ic (X2,Y2)
Y=aX+b (X1,Y1)
Vce
VAF
All Rights Reserved Copyright (c) Bee Technologies Inc. 2006
6. C-B Capacitance Characteristics
Measurement
Simulation
E-B Capacitance Characteristics
Measurement
Simulation
All Rights Reserved Copyright (c) Bee Technologies Inc. 2006
7. Transistor hFE-IC Characteristics
Circuit Simulation Result
1.0K
100
10
1.0
100uA 1.0mA 10mA 100mA
I(vsence)/ IB(Q1)
I(vsence)
Evaluation Circuit
v sence
0Vdc
Q1
Q2SC5201
V1
6Vdc
I1
0Adc
0
All Rights Reserved Copyright (c) Bee Technologies Inc. 2006