Short Spec Optoplex Iii P
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The Optoplex III P is an in-line measurement system that can measure up to 50 transmission or reflectance positions per PC at speeds up to 20 measurements per second. It uses a halogen light source and diode array spectrometer to measure the spectral transmission, reflectance, color, and optional sheet resistivity of samples between 380-1000 nm wavelength with 3.3 nm intervals at a 16-bit resolution. Data is analyzed and displayed using software on a connected PC under Windows XP, including color evaluations in various color spaces and the ability to compile and store up to 6 illustrations per monitor.
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๐๐๐ ๐๐๐ผ๐๐๐๐๐ :
โ
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โ
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โ
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Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Main news related to the CCS TSI 2023 (2023/1695)
An English ๐ฌ๐ง translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech ๐จ๐ฟ version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Monitoring and Managing Anomaly Detection on OpenShift.pdf
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Azure API Management to expose backend services securely
How to use Azure API Management to expose backend service securely
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where weโll 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, weโll 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 sourcesโfrom PDF floorplans to web pagesโusing 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 itโs 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.
Weโll 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!
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
June Patch Tuesday
Ivantiโs Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There weโll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Finale of the Year: Apply for Next One!
Presentation for the event called "Finale of the Year: Apply for Next One!" organized by GDSC PJATK
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Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
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Short Spec Optoplex Iii P
- 1. OPTOPLEX III P In-line measurement of spectral transmission, reflectance, color and sheet resistivity Number of measurement positions Up to 50 transmission or reflectance positions per PC Measurement speed Up to 20 measurements per second Measuring heads: Transmission: Parallel optics Reflection: diffuse / 8ยฐ Measuring spot: appr. 14 mm (Transmission) appr. 7 mm ( Reflectance) Light source Halogen, 9W to 20W, 3000 h MTBF Option : Balancing filter for Blue enhanced light Interface Distance system / computer: Ethernet Virtually unlimited by using switches above 100 m distance Triggering (start): Self triggering by automatic detection of glass edge Manually started Spectrometer: Diode array, single or dual channel Wavelength range : 380 -1000 nm ( option 380 โ 2200 nm) Data point interval : ADC Resolution 3,3 nm 16 bit Repeatability: Wavelength: < 0.05 nm Transmission (stationary sample): < 0.1 % T dE < 0.15 Reflection (stationary sample): < 0.1 % R ( Software: on PC, operates under Windows XP Color evaluation: Y, RT L*, a*, b* (CIELAB) L, a, b (HunterLAB) L', u, v (CIELUV) C, h, Wh, Ye dE (CIELAB, HunterLab), LUV, CIE94, CMC, LCh) Standard illuminants: A, B, C, D50, D55, D65, D75, F2, G, P, TL 84, Xe Standard observation: 2ยฐ, 10ยฐ Illustration of results: Up to 6 illustrations per monitor can be compiled and stored by the display editor Two monitors can be connected to PC Individual spectrums, spectrum groups, 3D illustrations Individual trend, group trend, 3D trend Lateral distribution xy chart Display as table Statistical illustration Further features: Password protection (three levels) Manual and automatic modes System is self calibration ( in gapes between samples) Option measurement of sheet resistivity OPC or DDE data communication