SPICE MODEL of TPCF8302 (Professional+BDP Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of TPCF8302 (Professional+BDP Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of TPCF8302 (Standard+BDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of TPCF8302 (Standard+BDS) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of LM119J/883 in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of TLP521-2 SAMPLE A in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 2SK4122LS (Professional+BDP Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 2SK4122LS (Professional+BDP Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of TPCF8302 (Professional+BDP Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of TPCF8302 (Professional+BDP Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of TPCF8302 (Standard+BDS Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of TPCF8302 (Standard+BDS) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of LM119J/883 in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of TLP521-2 SAMPLE A in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of 2SK4122LS (Professional+BDP Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 2SK4122LS (Professional+BDP Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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/
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Search and Society: Reimagining Information Access for Radical Futures
SPICE MODEL of NJU7031V in SPICE PARK
1. Device Modeling Report
COMPONENTS: OPERATIONAL AMPLIFIER
PART NUMBER: NJU7031V
MANUFACTURER: NEW JAPAN RADIO
REMARK TYPE: (CMOS OPAMP)
Bee Technologies Inc.
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
2. SPICE MODEL
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
VSS 4 5 IN2
NJU7031
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
3. MOSFET MODEL
Pspice model
Model description
parameter
LEVEL
L Channel Length
W Channel Width
KP Transconductance
RS Source Ohmic Resistance
RD Ohmic Drain Resistance
VTO Zero-bias Threshold Voltage
RDS Drain-Source Shunt Resistance
TOX Gate Oxide Thickness
CGSO Zero-bias Gate-Source Capacitance
CGDO Zero-bias Gate-Drain Capacitance
CBD Zero-bias Bulk-Drain Junction Capacitance
MJ Bulk Junction Grading Coefficient
PB Bulk Junction Potential
FC Bulk Junction Forward-bias Capacitance Coefficient
RG Gate Ohmic Resistance
IS Bulk Junction Saturation Current
N Bulk Junction Emission Coefficient
RB Bulk Series Resistance
PHI Surface Inversion Potential
GAMMA Body-effect Parameter
DELTA Width effect on Threshold Voltage
ETA Static Feedback on Threshold Voltage
THETA Modility Modulation
KAPPA Saturation Field Factor
VMAX Maximum Drift Velocity of Carriers
XJ Metallurgical Junction Depth
UO Surface Mobility
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
4. Output Voltage Swing
Simulation result
Simulation
Evaluation Circuit
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
out
VSS 4 5 IN2
V1 V2 NJU7031 V3
1.45 1.55 R1
1MEG 10
0
Compasion Table
Measurement Simulation %Error
VOM (V) 9.98 9.979 -0.01
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
5. Input Current
Simulation result
Simulation
Evaluation Circuit
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
OUT
VSS 4 5 IN2
V2 V1 NJU7031 V3
0Vdc 0
10
0
Compasion Table
Measurement Simulation % Error
Ib (pA) 1 1.002 0.2
IOS (pA) 1 0.995 -0.5
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
6. Input Offset Voltage
Simulation result
Simulation
Evaluation Circuit
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
OUT
VSS 4 5 IN2
V1 NJU7031 V3
0
10
0
Compasion Table
Measurement Simulation %Error
VOS (mV) 10 9.953 -0.47
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
7. Open loop Voltage Gain
Simulation result
Simulation
Evaluation Circuit
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
OUT
VSS 4 5 IN2
IN
NJU7031 V3
V1
VOFF = 0
VAMPL = 0 10
FREQ = 0
AC = 1m
DC = -9.953m
0
Compasion Table
Measurement Simulation %Error
Av (dB) 95 95.043 0.045
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
8. Unity Gain Frequency
Simulation result
Simulation
Evaluation Circuit
R1
100k
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
IN OUT
VSS 4 5 IN2
V1 VOFF = 0
R2 VAMPL = 0 V3
NJU7031
FREQ = 0 C1
1k AC = 1m
DC = 53.4m 10p
10
0
Compasion Table
AV=40dB,CL=10pF Measurement Simulation %Error
Ft(MHz) 1.5 1.56 4
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
9. Common-Mode Rejection Ratio
Simulation result
Simulation
ACM= 7.5334/534.021
Evaluation Circuit
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
V2 OUT
-9.953m VSS 4 5 IN2
NJU7031 V3
10
V1 VOFF = 0
VAMPL = 0
FREQ = 0
AC = 0
DC = 0
0
CMRR= AV / ACM
Compasion Table
Measurement Simulation %Error
CMRR (dB) 75 72 -4
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005
10. Slew Rate
Simulation result
Simulation
Evaluation Circuit
U1
IN1 1 8 NC
IN- 2 7 VDD
+ -
IN+ 3 6 OUT
OUT
VSS 4 5 IN2
V1 = 0 V1
V2 = 10
NJU7031 V2
TD = 10u
TR = 10n
TF = 10n
PW = 100u 10
PER = 500u
0
Compasion Table
Measurement Simulation % Error
SR (V/us) 3.5 3.52 0.571
All Rights Reserved Copyright (C) Bee Technologies Inc. 2005