The document appears to be a log of temperature, pressure, and other system readings taken every minute over a 20 minute period. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various pumps and compressors identified as CHP4-VFD, CHP5-VFD, etc. The readings fluctuate slightly but remain relatively stable over the course of the logging period.
The document appears to be logging sensor data from a building system over time. It includes timestamps, temperature readings from various sensors around the building, and operating parameters for different components like chillers and pumps. The readings are recorded every minute and show minor fluctuations in the temperature and system outputs over the 22 minute period.
The document appears to be a log of temperature, pressure, and other sensor readings taken every minute over a period of time. It includes outdoor temperature and humidity, as well as readings for chilled water supply and return temperatures, condenser water supply temperature, and other variables related to HVAC system operation. The readings show minor fluctuations in the measured values from minute to minute.
The document appears to be a log of temperature, pressure, and other sensor readings taken every minute over a period of time. It includes timestamps and measurements such as chilled water supply temperature, condenser water supply temperature, outdoor air temperature, and readings from various sensors labeled CHP4-VFD, CHP5-VFD, etc.
This document contains temperature and other sensor readings taken every minute from 10:03 PM to 10:32 PM on January 25, 2007 at an unspecified location. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various chillers and pumps.
This document contains temperature and other sensor readings logged over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various pumps and chillers in a building system. The readings are recorded every minute from 2:03pm to 2:33pm on January 25, 2007.
The document appears to be a table containing temperature and other sensor readings over time. It includes measurements from various sensors related to chilled water distribution and HVAC equipment taken at one minute intervals from 11:15 to 11:38 on February 11, 2007. The measurements include temperatures for chilled water supply and return, condenser water supply, outdoor air, as well as sensor readings related to chiller and cooling tower operations.
The document appears to be a table containing time-series data collected over a period of about 30 minutes. It includes timestamps, outdoor temperature and humidity, and various other measured or calculated variables related to a building's HVAC system like chilled water supply and return temperatures, condenser water temperatures, and status variables for chillers and pumps. The data is recorded at one-minute intervals and suggests real-time monitoring of a building automation system.
The document appears to be monitoring and logging data from a building system over time. It contains timestamps with corresponding measurements of various temperatures, speeds, and other system variables. The data is recorded in 2-minute intervals and spans from 2:04 PM to 2:34 PM on February 4, 2007.
The document appears to be logging sensor data from a building system over time. It includes timestamps, temperature readings from various sensors around the building, and operating parameters for different components like chillers and pumps. The readings are recorded every minute and show minor fluctuations in the temperature and system outputs over the 22 minute period.
The document appears to be a log of temperature, pressure, and other sensor readings taken every minute over a period of time. It includes outdoor temperature and humidity, as well as readings for chilled water supply and return temperatures, condenser water supply temperature, and other variables related to HVAC system operation. The readings show minor fluctuations in the measured values from minute to minute.
The document appears to be a log of temperature, pressure, and other sensor readings taken every minute over a period of time. It includes timestamps and measurements such as chilled water supply temperature, condenser water supply temperature, outdoor air temperature, and readings from various sensors labeled CHP4-VFD, CHP5-VFD, etc.
This document contains temperature and other sensor readings taken every minute from 10:03 PM to 10:32 PM on January 25, 2007 at an unspecified location. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various chillers and pumps.
This document contains temperature and other sensor readings logged over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various pumps and chillers in a building system. The readings are recorded every minute from 2:03pm to 2:33pm on January 25, 2007.
The document appears to be a table containing temperature and other sensor readings over time. It includes measurements from various sensors related to chilled water distribution and HVAC equipment taken at one minute intervals from 11:15 to 11:38 on February 11, 2007. The measurements include temperatures for chilled water supply and return, condenser water supply, outdoor air, as well as sensor readings related to chiller and cooling tower operations.
The document appears to be a table containing time-series data collected over a period of about 30 minutes. It includes timestamps, outdoor temperature and humidity, and various other measured or calculated variables related to a building's HVAC system like chilled water supply and return temperatures, condenser water temperatures, and status variables for chillers and pumps. The data is recorded at one-minute intervals and suggests real-time monitoring of a building automation system.
The document appears to be monitoring and logging data from a building system over time. It contains timestamps with corresponding measurements of various temperatures, speeds, and other system variables. The data is recorded in 2-minute intervals and spans from 2:04 PM to 2:34 PM on February 4, 2007.
The document appears to be logging temperature, pressure, and other system data over time. It contains over 30 rows of numeric readings for various sensors taken between 6:04 PM and 6:34 PM on February 9, 2007. The readings include outdoor air temperature, chilled water supply and return temperatures, and operating speeds for various pumps and chillers in the system.
The document appears to be logging temperature, pressure, and other system readings over time. It contains a table with over 30 readings taken every minute from 6:00 PM to 6:28 PM on February 8, 2007, with outdoor air temperature around 41-42°F and readings for chilled water supply and return temperatures, condenser water supply temperature, and compressor status values among other metrics.
The document appears to be logging temperature, pressure, and other sensor data over time. It contains over 60 rows of numeric sensor readings for parameters like temperature, pressure, and speeds from various pieces of equipment taken at regular time intervals. The readings are precise to 1 or 2 decimal places and range from 0 to 80 for many of the temperature parameters.
The document appears to be logging temperature, humidity and other sensor data over time. It contains over 50 rows of timestamped readings for variables like outside air temperature and humidity, chilled water supply and return temperatures, and status values for chillers and pumps. The readings were taken at 10 minute intervals throughout a day in February 2007 at an unspecified location.
The document appears to be logging temperature, humidity, and other sensor data over time. It contains over an hour of readings taken at one-minute intervals showing minor fluctuations in various metrics like chilled water supply temperature, return air temperature, and outdoor air humidity and temperature. The readings indicate the monitoring and operation of a building's HVAC system.
The document appears to be logging temperature, pressure, and other system data from a building automation system over time. It contains over 20 timestamps with corresponding readings for outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and other metrics. The readings suggest the document is monitoring an HVAC or other building system in real-time.
This document appears to contain temperature and other sensor readings collected over time from a building. It includes outdoor temperature, chilled water supply and return temperatures, condenser water supply temperature, and runtime percentages for various pieces of HVAC equipment like chillers and pumps. Readings are recorded every minute for over an hour, with date and time stamps. Values fluctuate slightly but remain within a narrow range over the course of monitoring.
The document appears to be a log of temperature, pressure, and other system readings taken over time. It contains time-stamped entries with measurements of outside air humidity and temperature, chilled water supply and return temperatures, condenser water supply temperature, and status readings for chillers, pumps, and other building systems. Each entry includes values for over 20 different metrics captured every minute for part of a day.
The document appears to be a table containing temperature and other sensor readings taken at regular intervals. It includes timestamps, outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water temperatures at different points in the system, and status readings for various components like chillers and pumps. The table contains over 30 rows of timestamped sensor data readings.
This document appears to contain temperature and other sensor data logged over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and runtime percentages for chillers and pumps. The data is recorded in two-minute intervals and includes timestamps from 2:03 to 2:33 PM on February 17, 2007.
The document appears to be logging temperature, pressure, and other sensor data from a building system over time. It contains over 30 timestamps with corresponding readings from sensors around the building measuring values like outside air temperature, chilled water supply temperature, condenser water return temperature, and more. The readings show minor fluctuations in these values from 18:14 to 18:37 on February 14, 2007.
The document appears to be a table containing temperature, pressure and other environmental sensor readings taken every minute over a period of time. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, and operating status of various HVAC components like chillers and pumps.
The document appears to be logging temperature, pressure, and other sensor data from a building system over time. It contains over 30 rows of timestamped readings for variables like outdoor air temperature, chilled water supply and return temperatures, compressor speeds and statuses, and more. The readings are recorded at 10 minute intervals from 10:15 AM to 10:45 AM on February 15, 2007.
- The document appears to be logging temperature, humidity, and other sensor data over time in 6 minute intervals. It contains over 50 rows of multiple sensor readings with timestamps from February 19, 2007.
- Readings include outside air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, and operating status of chillers and pumps.
- Values range from approximately 0 to 90 for most temperature readings and 0 to 1 for other readings like relative humidity and chiller/pump status.
The document appears to be logging data from a building automation system over time. It contains timestamps along with measurements of various temperatures, setpoints, and status values. The data is recorded in minute intervals and spans from 6:04 PM to 6:34 PM on February 18, 2007.
The document appears to be a log of temperature, pressure, and other system readings taken over time. It contains over 30 rows of timestamped data with over 15 data points measured in each row, including temperatures of different areas of a system, pressures, speeds of various components, and other operating data.
The document appears to be a log of temperature, pressure, and other system readings taken over time. It contains over 30 rows of timestamped data showing minor fluctuations in various measured values like outside air temperature, chilled water supply and return temperatures, and compressor speeds.
This document appears to contain temperature and other sensor readings taken every minute for an hour. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, condenser water supply temperature and other readings related to HVAC system operation. The frequent, precise readings over an extended period suggest this document contains performance monitoring data for an HVAC system.
The document appears to be a log of temperature, pressure, and other system readings collected over time. It contains periodic measurements from 2/13/07 between 18:13 and 18:43 of various temperatures, pressures, and states of components in the system like compressors and valves. The measurements are recorded alongside date and time stamps every minute.
The document appears to be a table containing temperature, pressure, and other system measurement data collected over time. It includes timestamps ranging from 10:11 to 10:41 on 2/14/07. For each timestamp there are measurements of outdoor air temperature, chilled water supply and return temperatures, and other values related to chillers and pumps.
This document appears to be logging temperature, pressure, and other sensor data from a building system over time. It contains over 30 rows of numeric data with timestamps ranging from 2:03 to 2:33 on 2/11/07. The data includes outdoor air temperature and humidity, return air temperature, supply air temperature, and status values for various system components that are being monitored.
This document contains temperature and other sensor readings collected over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from other sensors in the HVAC system. The data was collected every minute from 2:03pm to 2:33pm on February 16, 2007.
The document appears to be logging temperature, pressure, and other system data over time. It contains over 30 rows of numeric readings for various sensors taken between 6:04 PM and 6:34 PM on February 9, 2007. The readings include outdoor air temperature, chilled water supply and return temperatures, and operating speeds for various pumps and chillers in the system.
The document appears to be logging temperature, pressure, and other system readings over time. It contains a table with over 30 readings taken every minute from 6:00 PM to 6:28 PM on February 8, 2007, with outdoor air temperature around 41-42°F and readings for chilled water supply and return temperatures, condenser water supply temperature, and compressor status values among other metrics.
The document appears to be logging temperature, pressure, and other sensor data over time. It contains over 60 rows of numeric sensor readings for parameters like temperature, pressure, and speeds from various pieces of equipment taken at regular time intervals. The readings are precise to 1 or 2 decimal places and range from 0 to 80 for many of the temperature parameters.
The document appears to be logging temperature, humidity and other sensor data over time. It contains over 50 rows of timestamped readings for variables like outside air temperature and humidity, chilled water supply and return temperatures, and status values for chillers and pumps. The readings were taken at 10 minute intervals throughout a day in February 2007 at an unspecified location.
The document appears to be logging temperature, humidity, and other sensor data over time. It contains over an hour of readings taken at one-minute intervals showing minor fluctuations in various metrics like chilled water supply temperature, return air temperature, and outdoor air humidity and temperature. The readings indicate the monitoring and operation of a building's HVAC system.
The document appears to be logging temperature, pressure, and other system data from a building automation system over time. It contains over 20 timestamps with corresponding readings for outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and other metrics. The readings suggest the document is monitoring an HVAC or other building system in real-time.
This document appears to contain temperature and other sensor readings collected over time from a building. It includes outdoor temperature, chilled water supply and return temperatures, condenser water supply temperature, and runtime percentages for various pieces of HVAC equipment like chillers and pumps. Readings are recorded every minute for over an hour, with date and time stamps. Values fluctuate slightly but remain within a narrow range over the course of monitoring.
The document appears to be a log of temperature, pressure, and other system readings taken over time. It contains time-stamped entries with measurements of outside air humidity and temperature, chilled water supply and return temperatures, condenser water supply temperature, and status readings for chillers, pumps, and other building systems. Each entry includes values for over 20 different metrics captured every minute for part of a day.
The document appears to be a table containing temperature and other sensor readings taken at regular intervals. It includes timestamps, outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water temperatures at different points in the system, and status readings for various components like chillers and pumps. The table contains over 30 rows of timestamped sensor data readings.
This document appears to contain temperature and other sensor data logged over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and runtime percentages for chillers and pumps. The data is recorded in two-minute intervals and includes timestamps from 2:03 to 2:33 PM on February 17, 2007.
The document appears to be logging temperature, pressure, and other sensor data from a building system over time. It contains over 30 timestamps with corresponding readings from sensors around the building measuring values like outside air temperature, chilled water supply temperature, condenser water return temperature, and more. The readings show minor fluctuations in these values from 18:14 to 18:37 on February 14, 2007.
The document appears to be a table containing temperature, pressure and other environmental sensor readings taken every minute over a period of time. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, and operating status of various HVAC components like chillers and pumps.
The document appears to be logging temperature, pressure, and other sensor data from a building system over time. It contains over 30 rows of timestamped readings for variables like outdoor air temperature, chilled water supply and return temperatures, compressor speeds and statuses, and more. The readings are recorded at 10 minute intervals from 10:15 AM to 10:45 AM on February 15, 2007.
- The document appears to be logging temperature, humidity, and other sensor data over time in 6 minute intervals. It contains over 50 rows of multiple sensor readings with timestamps from February 19, 2007.
- Readings include outside air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, and operating status of chillers and pumps.
- Values range from approximately 0 to 90 for most temperature readings and 0 to 1 for other readings like relative humidity and chiller/pump status.
The document appears to be logging data from a building automation system over time. It contains timestamps along with measurements of various temperatures, setpoints, and status values. The data is recorded in minute intervals and spans from 6:04 PM to 6:34 PM on February 18, 2007.
The document appears to be a log of temperature, pressure, and other system readings taken over time. It contains over 30 rows of timestamped data with over 15 data points measured in each row, including temperatures of different areas of a system, pressures, speeds of various components, and other operating data.
The document appears to be a log of temperature, pressure, and other system readings taken over time. It contains over 30 rows of timestamped data showing minor fluctuations in various measured values like outside air temperature, chilled water supply and return temperatures, and compressor speeds.
This document appears to contain temperature and other sensor readings taken every minute for an hour. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, condenser water supply temperature and other readings related to HVAC system operation. The frequent, precise readings over an extended period suggest this document contains performance monitoring data for an HVAC system.
The document appears to be a log of temperature, pressure, and other system readings collected over time. It contains periodic measurements from 2/13/07 between 18:13 and 18:43 of various temperatures, pressures, and states of components in the system like compressors and valves. The measurements are recorded alongside date and time stamps every minute.
The document appears to be a table containing temperature, pressure, and other system measurement data collected over time. It includes timestamps ranging from 10:11 to 10:41 on 2/14/07. For each timestamp there are measurements of outdoor air temperature, chilled water supply and return temperatures, and other values related to chillers and pumps.
This document appears to be logging temperature, pressure, and other sensor data from a building system over time. It contains over 30 rows of numeric data with timestamps ranging from 2:03 to 2:33 on 2/11/07. The data includes outdoor air temperature and humidity, return air temperature, supply air temperature, and status values for various system components that are being monitored.
This document contains temperature and other sensor readings collected over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from other sensors in the HVAC system. The data was collected every minute from 2:03pm to 2:33pm on February 16, 2007.
The document appears to be a table containing temperature and other sensor readings over time. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, and condenser water supply temperature readings taken between 9:51 AM and 10:13 AM on January 30, 2007. Various other values like differential pressure and VFD speeds are also recorded.
The document appears to contain temperature readings taken hourly over the course of a day from various sensors located in a building. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, and operating status of various chillers and pumps.
This document appears to contain temperature and other sensor readings collected over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various chillers and pumps. Readings are recorded every minute from 6:04 PM to 6:26 PM on February 5, 2007.
This document appears to contain temperature and other sensor readings collected over time from an HVAC or building management system. It includes outdoor air temperature, return air temperature, supply air temperature, chilled water supply and return temperatures, and setpoints for various systems. Readings are recorded every minute from 2:04 PM to 2:34 PM on February 6, 2007.
This document appears to contain temperature and other sensor readings collected over time from a building automation system. It includes outdoor air temperature, return air temperature, supply air temperature, chilled water supply and return temperatures, and status readings for chillers and pumps. The readings are recorded in one-minute intervals from 6:04 PM to 6:34 PM on February 16, 2007.
This document contains tabular data with temperature, pressure, and other readings collected over time. There are over 30 rows of timestamped data with over 20 measured values per row, including outside air humidity and temperature, chilled water supply and return temperatures, and compressor speeds and settings.
The document appears to contain temperature and other sensor readings collected over time. It includes outdoor air temperature, chilled water supply temperature, condenser water temperature and other metrics. Readings were taken every minute from 9:52 AM to 10:20 AM on January 26, 2007.
The document appears to be a log of temperature, pressure, and other sensor readings collected over time. It includes timestamps ranging from 10:04 to 10:25 on 2/5/07 along with measurements such as outside air temperature, chilled water supply temperature, and compressor speeds. The readings were captured approximately every minute and include values ranging from 0 to 84 degrees Fahrenheit.
The document contains temperature and other sensor readings logged over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various pumps and chillers on the system. The readings are recorded at one minute intervals from 10:06 to 10:35 on February 2nd, 2007.
This document contains a table of numerical data logged over time. It includes outdoor temperature, humidity and other environmental readings as well as data from various building systems like chillers and pumps. Readings were taken every minute from 6:16pm to 6:38pm on January 31, 2007.
The document appears to be a log of temperature and other sensor readings taken every minute over a period of time. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, condenser water supply temperature, and setpoints and operating speeds for various pieces of HVAC equipment.
This document contains temperature and other sensor readings collected over time from a building automation system. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and setpoints for various systems like cooling towers and chillers. Readings are recorded every minute for over an hour.
The document appears to be a table containing temperature and other sensor readings over time. It includes measurements such as outdoor air temperature, chilled water supply and return temperatures, and compressor speeds for multiple chillers. Readings are recorded every minute from 6:16 PM to 6:39 PM on February 15, 2007.
This document contains temperature and other sensor readings logged over time. It includes outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and setpoints for chilled water and condenser water systems. Readings were taken every minute from 2:03 to 2:33 PM on February 9, 2007.
This document appears to contain temperature and other sensor readings that were recorded over a period of time. It includes timestamps from 10:04 to 10:34 on 2/6/07 and measurements such as outside air temperature, chilled water supply temperature, condenser water supply temperature, and readings from various sensors around a building. The frequent, timestamped readings indicate it is monitoring and logging real-time system performance data.
This document contains temperature and other sensor readings logged over time. It consists of numeric values organized in a table with timestamps ranging from 2:04 to 2:34 on 2/7/07. The table contains measurements of outdoor air temperature, chilled water supply and return temperatures, and other building system variables such as compressor speeds.
The document appears to be monitoring and logging sensor data from a building system over time. It contains timestamps along with temperature, pressure and other sensor readings recorded every minute. The readings are tabulated with timestamps in the left columns and sensor/system identifiers in the top row.
The document appears to be logging temperature, humidity and other sensor data over time. It contains over 30 rows of numeric data with timestamps ranging from 10:03 to 10:25 on 2/17/07. The data includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures and other system operating parameters.
The document appears to be a log of temperature, pressure, and other system readings taken every minute over a period of time. It contains numeric readings for outdoor air temperature, chilled water supply and return temperatures, condenser water supply temperature, and other metrics. The readings were recorded from 2:03pm to 2:33pm on February 14, 2007.
The document contains temperature readings taken every minute from 2:11 to 2:30 on February 13, 2007 for various locations including outside air, chilled water supply and return, condenser water supply, and others. It also includes readings for variables like differential pressure and speed for different chillers and pumps.
The document appears to contain temperature and other sensor readings collected over time. It includes outdoor temperature, chilled water supply and return temperatures, condenser water supply temperature, and readings from various sensors associated with chillers and cooling towers. The readings are recorded at one-minute intervals from 2:10pm to 2:29pm on February 12, 2007.
The document appears to be logging temperature, humidity and other sensor data from a building system over time. It contains over 30 timestamps with corresponding measurements of outside air temperature, chilled water supply temperature, return air temperature and other metrics. The values fluctuate slightly with each timestamp but generally remain between 40-50 degrees Fahrenheit for outside air and 50-80 degrees for other temperatures.
This document appears to contain temperature and other sensor readings collected over time from a building automation system. It includes outdoor air temperature and humidity, chilled water supply and return temperatures, condenser water supply temperature, and setpoints and operating status of chillers and pumps. Readings are recorded every minute and include date and time stamps. Values shown include temperatures, setpoints, operating modes of equipment, and other sensor values.
This document appears to contain temperature and other sensor readings collected over time from a building automation system. It includes outdoor air temperature and humidity, return air temperature, supply air temperature, chilled water supply and return temperatures, and status readings for chillers and pumps. Readings are recorded every minute from 2:03pm to 2:25pm on February 10, 2007.
[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.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 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 🇨🇿 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 .
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
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.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.