SPICE MODEL of 1MBH03D-120 (Professional+FWDP Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH03D-120 (Professional+FWDP Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBH50D-060 (Professional+FWDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH50D-060 (Professional+FWDS Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBH50-060 (Professional Without Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH50-060 (Professional Without Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBH15D-060 (Professional+FWDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH15D-060 (Professional+FWDS Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBC10D-060 (Professional+FWDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBC10D-060 (Professional+FWDS Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBH03D-120 (Professional+FWDP Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH03D-120 (Professional+FWDP Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBH50D-060 (Professional+FWDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH50D-060 (Professional+FWDS Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBH50-060 (Professional Without Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH50-060 (Professional Without Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBH15D-060 (Professional+FWDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBH15D-060 (Professional+FWDS Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 1MBC10D-060 (Professional+FWDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1MBC10D-060 (Professional+FWDS Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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!
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/
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.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
SPICE MODEL of NJM2115 in SPICE PARK
1. Device Modeling Report
COMPONENTS: OPERATIONAL AMPLIFIER
PART NUMBER: NJM2115
MANUFACTURER: NEW JAPAN RADIO
REMARK TYPE: (OPAMP)
Bee Technologies Inc.
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
2. Spice Model
+
- +
+-
-
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
3. Output Voltage Swing
Simulation result
4.0V
0V
-4.0V
-3.0V -2.0V 0V 2.0V
V(Vout)
V_V1
Evaluation circuit
Rload
10K Vout U18
+
- +
+-
V+
-
V1
NJM2115
0Vdc 2.5Vdc
V-
-2.5Vdc
0 0
Comparison table
Output Voltage Swing Data sheet Simulation %Error
V+ 2.2 2.2 0
V- 2.2 2.2 0
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
4. Input Offset Voltage
Simulation result
4.0V
0V
-4.0V
-10mV -5mV 0V 5mV 10mV
V(Vout)
V_Vin
Evaluation circuit
Rload
10k Vout U13
+
-+
+-
- V+
Vin NJM2115
VOFF = 0
VAMPL = 0 V- 2.5Vdc
FREQ = 0
AC = 0
DC = 0 -2.5Vdc
0 0
Comparison table
Measurement Simulation Error
Vos
1 mV 1.02 mV 2 %
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
5. Slew Rate
Simulation result
4.0V
0V
-4.0V
0s 1.0us 2.0us 3.0us
V(Vout)
Time
Evaluation circuit
Rload
10k Vout U18
+
-+
V1 = 0 Vi +-
V2 = 10
TD = 0 -
TR = 10n Vin V+
NJM2115
TF = 10n VOFF = 0
PW = 5u VAMPL = 0 V-
PER = 500u FREQ = 0 2.5Vdc
V2 AC = 0
-1.02m DC = 0 -2.5Vdc
0 0
Comparison table
Data sheet Simulation %Error
Slew Rate(v/us)
4 4.2 5
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
6. Input current
Simulation result
200nA
100nA
0A
0s 0.5ms 1.0ms
I(Vin)
Time
Evaluation circuit
Rload
10k Vout U17
+
- +
+-
-
VOFF = -1.02m
Vi Vin V+
NJM2115
VOFF = 0
VAMPL = 0 VAMPL = 0 V-
FREQ = 0 FREQ = 0 2.5Vdc
AC = 0 AC = 0
DC = 0 DC = 0 -2.5Vdc
0 0
Comparison table
Data sheet Simulation %Error
Ib(nA) 100 98.270 -1.73
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
7. Open Loop Voltage Gain vs. Frequency
Simulation result
100
50
0
1.0Hz 1.0KHz 1.0MHz 30MHz
DB(V(Vout)/V(Vin:+))
Frequency
Evaluation circuit
Vout U18
+
- +
+-
-
V+
NJM2115
Vin V-
VOFF = 0 2.5Vdc
VAMPL = 0
FREQ = 0 -2.5Vdc
AC = 1m
DC = -1.02m
0
Comparison table
Data sheet Simulation %Error
f-0dB(MHz) 12 11.474 -4.383
Av-dc 80 81.328 1.66
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
8. Common-Mode Rejection Voltage gain
Simulation result
-2.184V
-2.185V
-2.186V
-2.187V
0s 1.0s 2.0s 3.0s 4.0s
V(Vout)
Time
Evaluation circuit
Vout U17
+
- +
1.02mVdc V1 +-
-
V+
NJM2115
V-
2.5Vdc
V -2.5Vdc
VOFF = 0
VAMPL = 0.5
FREQ = 1
AC = 0
DC = 0
0
Common Mode Reject Ratio=11651.987/2.453 = 4750.096 = 73.534dB
Comparison table
Data sheet Simulation %Error
CMRR(dB)
74 73.534 -0.629
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005