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Chapter 2 mineral admixures
This document discusses mineral admixtures used in concrete, including fly ash, blast furnace slag, silica fume, and metakaolin. It provides details on the production, physical and chemical properties, and effects on fresh and hardened concrete of each admixture. For fly ash specifically, it describes the combustion process that produces fly ash, its physical characteristics such as particle size and shape, methods for measuring fineness and specific surface, typical chemical compositions, and influence on properties of concrete such as setting time, workability and strength.
Numerical and statistical_methods.compressed
The document is gibberish text without any discernible meaning or content to summarize. It contains random letters without any words, sentences or coherent ideas.
Applications in Machine Learning
Provides a brief overview of what machine learning is, how it works (theory), how to prepare data for a machine learning problem, an example case study, and additional resources.
ADMIXTURE
1. The document presents information on various types of admixtures used in concrete, including retarders, workability agents, waterproofing admixtures, and miscellaneous admixtures.
2. Retarders are used to slow the hydration process of concrete. Common retarders include calcium sulfate, starch, sugar, and acids. Workability agents improve the workability of concrete. Examples include finely divided materials and superplasticizers.
3. Waterproofing admixtures prevent the penetration of moisture into dry concrete. Some examples mentioned are Accoproof, Trip-l-Seal, and Cement. Miscellaneous admixtures provide unique properties and include admixtures for pumping concrete,
Chemical Admixtures & Mineral Additives
Use of chemical admixtures and mineral additives in various kinds of high performance and high strength concrete is essential. I have explained how it works.
Ppt ON ADMIXTURES
1. Admixtures are added to concrete to modify properties in both fresh and hardened states by reducing water content or increasing workability.
2. This study evaluated two superplasticizers on concrete workability and strength properties.
3. The results showed that both superplasticizers increased compressive, tensile, and flexural strengths at various mix ratios and water-cement ratios compared to plain concrete. Rheobuild 561M performed better than Rheobuild 1100 in most tests.
Laboratory Balance: How They Work, Checking Their Accuracy
- Modern laboratory balances use magnetic force restoration, where an electromagnet opposes the downward force of the object being weighed. A detector measures the current needed to maintain the object's position.
- Checking a balance's accuracy involves testing for reproducibility, linearity, calibration, and cornerload errors. Reproducibility ensures consistent readings, linearity checks accuracy across the weighing range, calibration compares readings to standards, and cornerload checks for position-dependent errors.
- Proper handling and storage of weights and controlled temperature and airflow are important for accurate balance measurements.
Recommended
Chapter 2 mineral admixures
This document discusses mineral admixtures used in concrete, including fly ash, blast furnace slag, silica fume, and metakaolin. It provides details on the production, physical and chemical properties, and effects on fresh and hardened concrete of each admixture. For fly ash specifically, it describes the combustion process that produces fly ash, its physical characteristics such as particle size and shape, methods for measuring fineness and specific surface, typical chemical compositions, and influence on properties of concrete such as setting time, workability and strength.
Numerical and statistical_methods.compressed
The document is gibberish text without any discernible meaning or content to summarize. It contains random letters without any words, sentences or coherent ideas.
Applications in Machine Learning
Provides a brief overview of what machine learning is, how it works (theory), how to prepare data for a machine learning problem, an example case study, and additional resources.
ADMIXTURE
1. The document presents information on various types of admixtures used in concrete, including retarders, workability agents, waterproofing admixtures, and miscellaneous admixtures.
2. Retarders are used to slow the hydration process of concrete. Common retarders include calcium sulfate, starch, sugar, and acids. Workability agents improve the workability of concrete. Examples include finely divided materials and superplasticizers.
3. Waterproofing admixtures prevent the penetration of moisture into dry concrete. Some examples mentioned are Accoproof, Trip-l-Seal, and Cement. Miscellaneous admixtures provide unique properties and include admixtures for pumping concrete,
Chemical Admixtures & Mineral Additives
Use of chemical admixtures and mineral additives in various kinds of high performance and high strength concrete is essential. I have explained how it works.
Ppt ON ADMIXTURES
1. Admixtures are added to concrete to modify properties in both fresh and hardened states by reducing water content or increasing workability.
2. This study evaluated two superplasticizers on concrete workability and strength properties.
3. The results showed that both superplasticizers increased compressive, tensile, and flexural strengths at various mix ratios and water-cement ratios compared to plain concrete. Rheobuild 561M performed better than Rheobuild 1100 in most tests.
Laboratory Balance: How They Work, Checking Their Accuracy
- Modern laboratory balances use magnetic force restoration, where an electromagnet opposes the downward force of the object being weighed. A detector measures the current needed to maintain the object's position.
- Checking a balance's accuracy involves testing for reproducibility, linearity, calibration, and cornerload errors. Reproducibility ensures consistent readings, linearity checks accuracy across the weighing range, calibration compares readings to standards, and cornerload checks for position-dependent errors.
- Proper handling and storage of weights and controlled temperature and airflow are important for accurate balance measurements.
Wcecs2010 pp699 705
A study of correlation of field data and Simulation of cement raw mixes and estimation of potential kiln feed as well as formed clinker made using a computer program through fitting of results obtained with field data. This enables production control by controlling quality of clinker within required specifications
Cement Grinding Optimization
This document discusses optimizing cement grinding circuits through pre-crushing of clinker using a Barmac crusher prior to grinding in a two-compartment ball mill. Bond calculations and population balance modeling are used to analyze the potential benefits. Modeling suggests the total energy consumption for grinding can be reduced up to 10% by pre-crushing clinker to a finer size before ball milling. A case study of a cement plant found pre-crushing could lower the required ball mill power by 9-15% and increase grinding circuit capacity with relatively low capital investment compared to alternatives like high-pressure grinding rolls.
111658903 kiln-burning-systems
The pyroprocessing stage of cement manufacturing involves heating raw materials in a kiln to produce clinker. This is done using various kiln systems that transfer heat from hot exhaust gases to preheat the raw materials. Early systems included wet and long dry kilns, while improved systems like the Lepol and cyclone preheater kilns transfer heat more efficiently using mechanisms like traveling grate preheaters and cyclone separators to further reduce fuel consumption and increase production rates. The pyroprocessing stage is critical as it determines the clinker composition and involves the most operating costs.
Conducting rc as
RCA is a process analysis method used to identify the underlying causes of adverse events. It aims to determine what happened, why it occurred, and how to prevent recurrence. RCA investigations focus on systems and processes rather than individual performance. They should be initiated promptly for high risk incidents and completed within 2 months. The major steps include defining the problem, mapping timelines, identifying causes, developing recommendations, and writing a report with conclusions and risk reduction plans. The goal is to convert causal findings into actions to mitigate risks and ensure safety.
Design ofexperimentstutorial
The document provides an example to illustrate how design of experiments (DOE) can be used to determine the sensitivity of an amplifier design to process variations. In the example, DOE is used to study the effects of three design elements - width (W), resistor (R), and capacitor (C) - on amplifier gain. Eight experiments are run by assigning values of -1 and +1 to represent variations in each element. Main effects and interaction plots are generated to determine that the resistor has the largest impact on gain variability compared to the other elements. DOE helps identify sensitive parts of the design that can then be adjusted to improve robustness and yield.
Summary research on c pk vs cp
The document discusses process capability analysis using Cp and Cpk metrics. Cp measures how well a process fits within specification limits, while Cpk also considers centering. A Cpk over 1 indicates a capable and centered process. Values over 1.33 represent 4-sigma capability. Cp over 1 but Cpk below 1 means the process is capable but not centered. Histograms and Cp, Cpk values are used to compare baseline and improved processes.
Lecture 14 cusum and ewma
The document discusses various statistical process control charts for detecting small shifts in processes, including CUSUM (Cumulative Sum) charts and EWMA (Exponentially Weighted Moving Average) charts. CUSUM charts cumulatively sum process deviations and are more effective at detecting small shifts than Shewhart charts. EWMA charts create a weighted average of recent process data where older data is downweighted using an exponential factor. Both CUSUM and EWMA charts can be designed using maximum likelihood estimation and control limits to balance type I and type II error rates for detecting shifts of a given size.
C321 09 s_l1_glassware
This document provides instructions for calibrating volumetric glassware used in a chemistry lab. Students will calibrate a 50 mL buret and volumetric pipet by weighing the amount of water delivered at a measured temperature. They will determine the "true volume" delivered and record the values to account for any errors in the glassware markings. Proper technique and care of glassware is emphasized to obtain precise quantitative measurements.
Bomb calorimetry
1) Bomb calorimetry is used to determine the heat of combustion and enthalpy of formation of substances by completely combusting samples in a sealed bomb surrounded by water and measuring the temperature change.
2) Standards like benzoic acid are combusted to determine the calorimeter constant, then samples like sucrose are combusted to calculate their enthalpies of formation.
3) Food products are also combusted to determine their energy content in kJ/gram, which can be compared to labeled calorie contents.
2 pa32 bomb calorimeter procedure
This document describes a procedure to use bomb calorimetry to measure the energy of combustion of stearic acid, as a model for camel fat. It aims to determine the molar enthalpy of combustion of stearic acid and estimate the amount of metabolic water produced from oxidizing the fat stored in a camel's hump. The experiment involves calibrating the bomb calorimeter with benzoic acid, then combusting samples of stearic acid to determine its energy of combustion. Calculations are made to find thermodynamic properties and estimate the energy stored and water produced by a camel oxidizing the fat in its hump.
Introduction to-bomb-calorimetry
Bomb calorimetry involves measuring the heat of combustion (calorific value) of fuels and other combustible materials. A bomb calorimeter consists of (1) a bomb vessel where combustion occurs, (2) a bucket containing water for absorbing heat, (3) an insulating jacket, and (4) a thermometer. The heat released by combusting a sample in oxygen is absorbed by water in the bucket, causing its temperature to rise. By comparing this rise to that of a standard material, the sample's calorific value can be calculated after applying corrections. Safety precautions must be followed when using high-pressure oxygen.
Practice guide stopwatches and timer calibrations
This document provides guidance on calibrating stopwatches and timers. It describes common timing devices that require calibration, such as stopwatches and timers. It discusses specifications and tolerances, outlining how to interpret manufacturer specifications and determine required tolerances for legal metrology. The document introduces various calibration methods, including direct comparison, totalize, and time base methods. It provides procedures for each method and examines associated measurement uncertainties. The guidance aims to assist metrologists in properly calibrating timing devices.
Technical information glassware
This document provides technical information about Pyrex glassware. It describes the chemical composition and physical properties of Pyrex glass. It also discusses standards that Pyrex glass meets and its resistance to heat, acids, bases, and hydrolysis. Quickfit glassware components like conical joints and screwthreads are also outlined.
2 pa32 bomb calorimeter procedure
This document describes using a bomb calorimeter to measure the energy of combustion of stearic acid, as a model for camel fat. The experiment aims to determine the molar enthalpy of combustion of stearic acid in order to estimate the amount of metabolic water produced from oxidizing fat stored in a camel's hump. The procedure involves calibrating the calorimeter with benzoic acid and then performing combustion runs with stearic acid samples. Calculations are done to determine energy and enthalpy of combustion values, which can provide insight into the role of a camel's hump fat in energy storage and water production.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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Wcecs2010 pp699 705
A study of correlation of field data and Simulation of cement raw mixes and estimation of potential kiln feed as well as formed clinker made using a computer program through fitting of results obtained with field data. This enables production control by controlling quality of clinker within required specifications
Cement Grinding Optimization
This document discusses optimizing cement grinding circuits through pre-crushing of clinker using a Barmac crusher prior to grinding in a two-compartment ball mill. Bond calculations and population balance modeling are used to analyze the potential benefits. Modeling suggests the total energy consumption for grinding can be reduced up to 10% by pre-crushing clinker to a finer size before ball milling. A case study of a cement plant found pre-crushing could lower the required ball mill power by 9-15% and increase grinding circuit capacity with relatively low capital investment compared to alternatives like high-pressure grinding rolls.
111658903 kiln-burning-systems
The pyroprocessing stage of cement manufacturing involves heating raw materials in a kiln to produce clinker. This is done using various kiln systems that transfer heat from hot exhaust gases to preheat the raw materials. Early systems included wet and long dry kilns, while improved systems like the Lepol and cyclone preheater kilns transfer heat more efficiently using mechanisms like traveling grate preheaters and cyclone separators to further reduce fuel consumption and increase production rates. The pyroprocessing stage is critical as it determines the clinker composition and involves the most operating costs.
Conducting rc as
RCA is a process analysis method used to identify the underlying causes of adverse events. It aims to determine what happened, why it occurred, and how to prevent recurrence. RCA investigations focus on systems and processes rather than individual performance. They should be initiated promptly for high risk incidents and completed within 2 months. The major steps include defining the problem, mapping timelines, identifying causes, developing recommendations, and writing a report with conclusions and risk reduction plans. The goal is to convert causal findings into actions to mitigate risks and ensure safety.
Design ofexperimentstutorial
The document provides an example to illustrate how design of experiments (DOE) can be used to determine the sensitivity of an amplifier design to process variations. In the example, DOE is used to study the effects of three design elements - width (W), resistor (R), and capacitor (C) - on amplifier gain. Eight experiments are run by assigning values of -1 and +1 to represent variations in each element. Main effects and interaction plots are generated to determine that the resistor has the largest impact on gain variability compared to the other elements. DOE helps identify sensitive parts of the design that can then be adjusted to improve robustness and yield.
Summary research on c pk vs cp
The document discusses process capability analysis using Cp and Cpk metrics. Cp measures how well a process fits within specification limits, while Cpk also considers centering. A Cpk over 1 indicates a capable and centered process. Values over 1.33 represent 4-sigma capability. Cp over 1 but Cpk below 1 means the process is capable but not centered. Histograms and Cp, Cpk values are used to compare baseline and improved processes.
Lecture 14 cusum and ewma
The document discusses various statistical process control charts for detecting small shifts in processes, including CUSUM (Cumulative Sum) charts and EWMA (Exponentially Weighted Moving Average) charts. CUSUM charts cumulatively sum process deviations and are more effective at detecting small shifts than Shewhart charts. EWMA charts create a weighted average of recent process data where older data is downweighted using an exponential factor. Both CUSUM and EWMA charts can be designed using maximum likelihood estimation and control limits to balance type I and type II error rates for detecting shifts of a given size.
C321 09 s_l1_glassware
This document provides instructions for calibrating volumetric glassware used in a chemistry lab. Students will calibrate a 50 mL buret and volumetric pipet by weighing the amount of water delivered at a measured temperature. They will determine the "true volume" delivered and record the values to account for any errors in the glassware markings. Proper technique and care of glassware is emphasized to obtain precise quantitative measurements.
Bomb calorimetry
1) Bomb calorimetry is used to determine the heat of combustion and enthalpy of formation of substances by completely combusting samples in a sealed bomb surrounded by water and measuring the temperature change.
2) Standards like benzoic acid are combusted to determine the calorimeter constant, then samples like sucrose are combusted to calculate their enthalpies of formation.
3) Food products are also combusted to determine their energy content in kJ/gram, which can be compared to labeled calorie contents.
2 pa32 bomb calorimeter procedure
This document describes a procedure to use bomb calorimetry to measure the energy of combustion of stearic acid, as a model for camel fat. It aims to determine the molar enthalpy of combustion of stearic acid and estimate the amount of metabolic water produced from oxidizing the fat stored in a camel's hump. The experiment involves calibrating the bomb calorimeter with benzoic acid, then combusting samples of stearic acid to determine its energy of combustion. Calculations are made to find thermodynamic properties and estimate the energy stored and water produced by a camel oxidizing the fat in its hump.
Introduction to-bomb-calorimetry
Bomb calorimetry involves measuring the heat of combustion (calorific value) of fuels and other combustible materials. A bomb calorimeter consists of (1) a bomb vessel where combustion occurs, (2) a bucket containing water for absorbing heat, (3) an insulating jacket, and (4) a thermometer. The heat released by combusting a sample in oxygen is absorbed by water in the bucket, causing its temperature to rise. By comparing this rise to that of a standard material, the sample's calorific value can be calculated after applying corrections. Safety precautions must be followed when using high-pressure oxygen.
Practice guide stopwatches and timer calibrations
This document provides guidance on calibrating stopwatches and timers. It describes common timing devices that require calibration, such as stopwatches and timers. It discusses specifications and tolerances, outlining how to interpret manufacturer specifications and determine required tolerances for legal metrology. The document introduces various calibration methods, including direct comparison, totalize, and time base methods. It provides procedures for each method and examines associated measurement uncertainties. The guidance aims to assist metrologists in properly calibrating timing devices.
Technical information glassware
This document provides technical information about Pyrex glassware. It describes the chemical composition and physical properties of Pyrex glass. It also discusses standards that Pyrex glass meets and its resistance to heat, acids, bases, and hydrolysis. Quickfit glassware components like conical joints and screwthreads are also outlined.
2 pa32 bomb calorimeter procedure
This document describes using a bomb calorimeter to measure the energy of combustion of stearic acid, as a model for camel fat. The experiment aims to determine the molar enthalpy of combustion of stearic acid in order to estimate the amount of metabolic water produced from oxidizing fat stored in a camel's hump. The procedure involves calibrating the calorimeter with benzoic acid and then performing combustion runs with stearic acid samples. Calculations are done to determine energy and enthalpy of combustion values, which can provide insight into the role of a camel's hump fat in energy storage and water production.
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Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
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Building Production Ready Search Pipelines with Spark and Milvus
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GraphRAG for Life Science to increase LLM accuracy
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Removing Uninteresting Bytes in Software Fuzzing
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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.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
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Artificial Intelligence for XMLDevelopment
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We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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