SPICE MODEL of IDV02S60C (Professional Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of IDV02S60C (Professional 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 IDV02S60C (Professional Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of IDV02S60C (Professional 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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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
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.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
SPICE MODEL of NJM2732 in SPICE PARK
1. Device Modeling Report
COMPONENTS: OPERATIONAL AMPLIFIER
PART NUMBER: NJM2732
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
5.0V
2.5V
0V
-500mV 0V 500mV
V(Vout)
V_V1
Evaluation circuit
Rload
20K Vout U19
+
-+
+-
- V+
V1
NJM2732
0Vdc
5Vdc
0 0
Comparison table
Output Voltage Swing Data sheet Simulation %Error
VOH 4.95 4.949 -0.02
VOL 0.05 0.05 0
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
4. Input Offset Voltage
Simulation result
5.0V
2.5V
0V
-10mV -5mV 0V 5mV 10mV
V(Vout)
V_Vin
Evaluation circuit
Rload
20k Vout U14
+
- +
+-
-
Vin V+
NJM2732
VOFF = 0
VAMPL = 0
FREQ = 0 5Vdc
AC = 0
DC = 0
0 0
Comparison table
Measurement Simulation Error
Vio
1 mV 1 mV 0 %
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
5. Slew Rate
Simulation result
2.0V
1.0V
0V
0s 2.0us 4.0us 6.0us
V(Vout)
Time
Evaluation circuit
Rload
10k Vout U19
+
- +
+-
-
V1 = 0 Vi
V2 = 10 V+
NJM2732
TD = 0
TR = 10n
TF = 10n 5Vdc
PW = 5u
PER = 500u
V2
-1.00m
0 0
Comparison table
Data sheet Simulation %Error
Slew Rate(v/us)
0.4 0.388 -3
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
6. Input current
Simulation result
60nA
55nA
50nA
45nA
40nA
0s 0.5ms 1.0ms
I(Vin) I(Vi)
Time
Evaluation circuit
Rload
10k Vout U18
+
- +
+-
-
Vin V+
NJM2732
VOFF = -1.00m
Vi VAMPL = 0
VOFF = 0 FREQ = 0 5Vdc
VAMPL = 0 AC = 0
FREQ = 0 DC = 0
AC = 0
DC = 0
0 0
Comparison table
Data sheet Simulation %Error
Ib(nA) 50 50.235 0.47
Iio(nA) 5 5.051 1.02
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
out U19
+
- +
+-
-
V+
NJM2732
Vin
VOFF = 0 5Vdc
VAMPL = 0
FREQ = 0
AC = 1m
DC = -1m
0
Comparison table
Data sheet Simulation %Error
f-0dB(MHz) 1 1.028 2.8
Av-dc 85 86.231 1.448
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
8. Common-Mode Rejection Voltage gain
Simulation result
5.0V
2.5V
0V
0s 1.0s 2.0s 3.0s 4.0s
V(Vout)
Time
Evaluation circuit
Vout U18
+
- +
-1.00mVdc V1 +-
-
V+
NJM2732
5Vdc
V
VOFF = 0
VAMPL = 0.5
FREQ = 1
AC = 0
DC = 0
0
Common Mode Reject Ratio=20490.379/4.654 = 4402.745= 72.874dB
Comparison table
Data sheet Simulation %Error
CMRR(dB)
70 72..95 4.105
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005