This document discusses efforts to reduce variability in thermal output and maximize safe power production at a nuclear plant. A cross-functional team was formed and implemented standardized work practices for reactor operation. This reduced variability by 39% for Unit 1 and 44% for Unit 2. Process capability charts show improvements in reducing excursions outside specification limits from March 2005 to March 2006. The standardized approach generated an additional $500k in annual revenue.
Oracle Systems _ Tony Jambu _ Exadata The Facts and Myths behing a proof of c...InSync2011
Tony Jambu presented on a proof of concept conducted using Oracle's Exadata database machine. The key findings from the proof of concept were:
1) Transactions on Exadata were on average 11.6 times faster than the legacy system with no code or schema changes required.
2) Increasing the parallelism degree from 1 to 16 on Exadata provided additional performance gains.
3) SQL Loader on Exadata was 6 times faster and used 94% less CPU compared to the legacy system.
4) Oracle's Hybrid Columnar Compression on Exadata provided 84% storage savings on uncompressed data.
Time Series Flow Forecasting Using Artificial Neural Networks for Brahmaputra...aniruudha banhatti
The document discusses using artificial neural networks (ANNs) to forecast streamflow in the Brahmaputra River at selective gauging stations in India. It presents results from training and testing different ANN architectures, including variations in activation functions, numbers of hidden neurons, and preprocessing techniques applied to the daily streamflow time series data from 1980 to 1999. The best performing models were able to explain over 98% of the variation in streamflow, with RMSE values around 1000 cumecs or less for one to three day ahead forecasts.
1. The document presents a Lean Six Sigma project to reduce liquid particle counts (LPC) in plastic injection molded ramp components produced by ultrasonic washing and drying processes.
2. Baseline data shows the current processes have high variability and are not capable of meeting a new, stricter LPC specification required by customers.
3. The project aims to improve the washing processes for two representative ramp products to achieve a process mean LPC lower than 70% of the new specification by analyzing sources of variation and implementing process improvements.
Process Capability: Step 4 (Normal Distributions)Matt Hansen
This document provides instruction on assessing the capability of a process that follows a normal distribution. It discusses key metrics like Cp, Cpk, Pp and Ppk which measure process performance relative to customer specifications. The document also explains how to calculate and interpret process capability metrics like DPMO from the output of a process capability analysis in Minitab.
This ADDMM report analyzed a database named 'RDEV' over a period from August 16th to August 17th. It found that:
1) Top SQL statements by database time and CPU usage were responsible for over 40% and 23% of activity respectively. Tuning these statements was recommended.
2) CPU usage was high, also recommending SQL tuning.
3) Additional findings included heavy I/O, undersized memory components, and wait events. Corresponding recommendations included SQL tuning, memory configuration changes, and investigating wait events.
Design of Controllers for Continuous Stirred Tank ReactorIAES-IJPEDS
The objective of the project is to design various controllers for temperature control in Continuous Stirred Tank Reactor (CSTR) systems. Initially Zeigler-Nichols, modified Zeigler-Nichols, Tyreus-Luyben, Shen-Yu and IMC based method of tuned Proportional Integral (PI) controller is designed and comparisons are made with Fuzzy Logic Controller. Simulations are carried out and responses are obtained for the above controllers. Maximum peak overshoot, Settling time, Rise time, ISE, IAE are chosen as performance index. From the analysis it is found that the Fuzzy Logic Controller is a promising controller than the conventional controllers.
This document summarizes and compares various tuning methods for a PID controller for temperature control of an electric oven. It describes the Ziegler-Nichols first and closed loop tuning methods, and a genetic algorithm tuning method. The genetic algorithm approach was able to automatically tune the PID controller gains to minimize error for the temperature control system, and its performance was compared to the other methods. The document also discusses identifying the parameters of the oven plant through open loop step response testing.
Oracle Systems _ Tony Jambu _ Exadata The Facts and Myths behing a proof of c...InSync2011
Tony Jambu presented on a proof of concept conducted using Oracle's Exadata database machine. The key findings from the proof of concept were:
1) Transactions on Exadata were on average 11.6 times faster than the legacy system with no code or schema changes required.
2) Increasing the parallelism degree from 1 to 16 on Exadata provided additional performance gains.
3) SQL Loader on Exadata was 6 times faster and used 94% less CPU compared to the legacy system.
4) Oracle's Hybrid Columnar Compression on Exadata provided 84% storage savings on uncompressed data.
Time Series Flow Forecasting Using Artificial Neural Networks for Brahmaputra...aniruudha banhatti
The document discusses using artificial neural networks (ANNs) to forecast streamflow in the Brahmaputra River at selective gauging stations in India. It presents results from training and testing different ANN architectures, including variations in activation functions, numbers of hidden neurons, and preprocessing techniques applied to the daily streamflow time series data from 1980 to 1999. The best performing models were able to explain over 98% of the variation in streamflow, with RMSE values around 1000 cumecs or less for one to three day ahead forecasts.
1. The document presents a Lean Six Sigma project to reduce liquid particle counts (LPC) in plastic injection molded ramp components produced by ultrasonic washing and drying processes.
2. Baseline data shows the current processes have high variability and are not capable of meeting a new, stricter LPC specification required by customers.
3. The project aims to improve the washing processes for two representative ramp products to achieve a process mean LPC lower than 70% of the new specification by analyzing sources of variation and implementing process improvements.
Process Capability: Step 4 (Normal Distributions)Matt Hansen
This document provides instruction on assessing the capability of a process that follows a normal distribution. It discusses key metrics like Cp, Cpk, Pp and Ppk which measure process performance relative to customer specifications. The document also explains how to calculate and interpret process capability metrics like DPMO from the output of a process capability analysis in Minitab.
This ADDMM report analyzed a database named 'RDEV' over a period from August 16th to August 17th. It found that:
1) Top SQL statements by database time and CPU usage were responsible for over 40% and 23% of activity respectively. Tuning these statements was recommended.
2) CPU usage was high, also recommending SQL tuning.
3) Additional findings included heavy I/O, undersized memory components, and wait events. Corresponding recommendations included SQL tuning, memory configuration changes, and investigating wait events.
Design of Controllers for Continuous Stirred Tank ReactorIAES-IJPEDS
The objective of the project is to design various controllers for temperature control in Continuous Stirred Tank Reactor (CSTR) systems. Initially Zeigler-Nichols, modified Zeigler-Nichols, Tyreus-Luyben, Shen-Yu and IMC based method of tuned Proportional Integral (PI) controller is designed and comparisons are made with Fuzzy Logic Controller. Simulations are carried out and responses are obtained for the above controllers. Maximum peak overshoot, Settling time, Rise time, ISE, IAE are chosen as performance index. From the analysis it is found that the Fuzzy Logic Controller is a promising controller than the conventional controllers.
This document summarizes and compares various tuning methods for a PID controller for temperature control of an electric oven. It describes the Ziegler-Nichols first and closed loop tuning methods, and a genetic algorithm tuning method. The genetic algorithm approach was able to automatically tune the PID controller gains to minimize error for the temperature control system, and its performance was compared to the other methods. The document also discusses identifying the parameters of the oven plant through open loop step response testing.
The OPC Logger allows for better collection and organization of process data from experiments. It uses triggers and spanning functions to control when and how data is logged. Triggers can be scheduled, recurring, or based on monitored item conditions. Spanning adds timestamps to keep data organized. The group set up triggers and spanning for three experiments, logging data to an Excel file. This allows generation of graphs from specific logged variables over time. Industry users of the OPC Logger include major companies across many sectors.
The document discusses lean implementation efforts at a production cell that manufactures connectors. It outlines the challenges of reducing lead time by 60%, work in progress by 70%, and other metrics. Process analysis was conducted including value stream mapping. Opportunities were identified and prioritized. Changes implemented included layout redesign, standard work, visual management boards, and focused improvement teams. Lessons from kaizen events were documented. The lean transformation efforts showed improvements across key metrics and engaged the team.
This document discusses Microsoft IT's efforts to reduce its environmental impact and become more sustainable. It outlines opportunities to improve efficiency in areas like data centers, computing, and office workspaces. Microsoft IT has achieved notable successes through consolidating labs, improving power usage effectiveness in data centers, promoting virtualization and energy-efficient policies. The document encourages adopting electronic workflows, teleconferencing, and recycling to further lower the environmental footprint while growing the business.
Design and implementation of modified clock generationeSAT Journals
Abstract
Performing delay test needs the automatic test equipment (ATE) which is used to provide the high-speed clocks, which is then used to generate at-speed test. ATE has some limitations such as it has limited number of clock pins, and is limited in supplying maximum clock frequencies. Expensive ATE has number of pins that works in high frequencies but that will be very expensive to go with to avoid that in this project at speed pulses is generated by a logic that is given to STUMP based LBIST
Keywords — ATE, LBIST
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document provides an overview of total quality management (TQM) concepts for manufacturing, including standard operating procedures (SOP), statistical process control (SPC), process capability indices, and control charts. It discusses how SOPs and quality control process charts are used to standardize operations and check quality. Statistical process control tools like control charts help monitor processes for variation. Process capability indices like Cp and Cpk indicate if a process is capable of meeting specifications. Together, these TQM elements aim to reduce variation and improve quality in manufacturing operations and supply chains.
The document describes the automation of labour reporting at a depot through a Kaizen process.
The initial labour reporting process was paper-based, time-consuming, and prone to errors. Team Leaders would manually record hours on paper sheets that were then transferred to electronic sheets by administrators. This created inefficiencies.
Through Kaizen proposals, an electronic database was created to automate the reporting. Data from individual workstations was automatically compiled into daily reports with minimal effort. This saved over 18 manhours per day and €54,500 annually while improving accuracy and providing standardized daily feedback. Employees and managers recognized benefits including improved productivity tracking and root cause analysis capabilities.
The document discusses a case study involving the evaluation of a measurement system for an important quality variable, CTQ1, at W.R. Grace. A measurement systems analysis (MSA) study was conducted involving the four worldwide sites that produce the raw material. The results showed a high %GR&R of 94.3% and P/T ratio of 116%, indicating significant measurement error. When analyzed separately, the sites showed varying levels of measurement capability, with one site having a %GR&R of 38.9%. The MSA study identified opportunities to improve the measurement system and link it back to process improvements.
This document discusses improvements to nested loop joins (NLJs) in Oracle 11g. A new technique called table batching is introduced that creates two NLJs - one for the index and another for the table. This performs similarly to the prefetching technique in 9i. Testing shows that consistent gets are reduced from 42,000 to 34,000 from 10g to 11g for all techniques. The batching technique is fastest while classic NLJ is slowest. Array size also impacts consistent gets by determining the number of network round trips. In conclusion, prefetching benefits non-unique indexes, and 11g optimizations improve performance versus 10g for all join techniques.
This report analyzes the impact of relative humidity, cooling load, and wet bulb temperature on the energy efficiency of a chiller plant. It finds that wet bulb temperature is the main driver of chiller efficiency, while relative humidity most impacts cooling tower efficiency. A regression model is developed to optimize the approach temperature, which could save an estimated 4.78% of total monthly energy consumption if implemented. However, the model may not generalize to other plants due to differences in capacity and conditions.
One of the most important, yet often overlooked, aspects of predictive modeling is the transformation of data to create model inputs, better known as feature engineering (FE). This talk will go into the theoretical background behind FE, showing how it leverages existing data to produce better modeling results. It will then detail some important FE techniques that should be in every data scientist’s tool kit.
The document discusses a case study evaluating the measurement system for a key quality variable (CTQ1) at W.R. Grace. A measurement systems analysis was conducted across four sites measuring CTQ1. The results showed high measurement variation compared to process variation, with an overall %GRR of 94.3. While some sites had acceptable P/T ratios and variation, the overall system lacked discrimination. Improving the measurement system accuracy and precision could help reduce hidden factory costs and further process improvements.
Six sigma-in-measurement-systems-evaluating-the-hidden-factory (2)Bibhuti Prasad Nanda
The document discusses a case study conducted at W.R. Grace to evaluate the measurement system for an important quality variable, CTQ1, at four worldwide production locations. An MSA study was performed to determine the %GRR, P/T ratio, and bias of the CTQ1 measurement. The results showed high measurement variation contributed by the operators and interactions between operators and samples. Process data was then linked to the MSA study, showing representative samples were selected and improvements to the measurement system could reduce hidden factory costs from over-processing and rework.
This document provides an overview of process capability and how to calculate it. Process capability is a measurement of how well a process is performing compared to customer requirements. It is calculated by collecting process data, checking if the data is normally distributed, and using formulas to determine metrics like Cp, Cpk which indicate if the process mean and variability are able to meet specifications. If a process is found to be incapable, actions would be taken like process improvement projects to address performance gaps.
The document discusses a case study measuring a critical quality trait (CTQ1) at a manufacturing company. A measurement study of CTQ1 was conducted across four worldwide sites to evaluate the measurement system. The results showed high measurement error, with an overall %GRR of 94.3% and P/T ratio of 116%. When analyzed by site, two sites showed significant differences in CTQ1 averages. The high measurement variability masked potential process improvements. Improving the measurement system capability could help the company better understand real process variation and identify opportunities to optimize production.
This document describes the design and development of a reaction time and impact force measuring device. The device uses sensors, a data acquisition system, and LabVIEW programming to measure impact force, reaction time, and response time during a punching bag target experiment. Prototypes were developed using various materials and components like load cells, a footswitch, and laser pointer. The device was calibrated and used to collect both static and dynamic force measurements as well as to study force loss through absorption materials. Programming in LabVIEW incorporated state machines to control the experiment sequence and collect/display the measured data.
The OPC Logger allows for better collection and organization of process data from experiments. It uses triggers and spanning functions to control when and how data is logged. Triggers can be scheduled, recurring, or based on monitored item conditions. Spanning adds timestamps to keep data organized. The group set up triggers and spanning for three experiments, logging data to an Excel file. This allows generation of graphs from specific logged variables over time. Industry users of the OPC Logger include major companies across many sectors.
The document discusses lean implementation efforts at a production cell that manufactures connectors. It outlines the challenges of reducing lead time by 60%, work in progress by 70%, and other metrics. Process analysis was conducted including value stream mapping. Opportunities were identified and prioritized. Changes implemented included layout redesign, standard work, visual management boards, and focused improvement teams. Lessons from kaizen events were documented. The lean transformation efforts showed improvements across key metrics and engaged the team.
This document discusses Microsoft IT's efforts to reduce its environmental impact and become more sustainable. It outlines opportunities to improve efficiency in areas like data centers, computing, and office workspaces. Microsoft IT has achieved notable successes through consolidating labs, improving power usage effectiveness in data centers, promoting virtualization and energy-efficient policies. The document encourages adopting electronic workflows, teleconferencing, and recycling to further lower the environmental footprint while growing the business.
Design and implementation of modified clock generationeSAT Journals
Abstract
Performing delay test needs the automatic test equipment (ATE) which is used to provide the high-speed clocks, which is then used to generate at-speed test. ATE has some limitations such as it has limited number of clock pins, and is limited in supplying maximum clock frequencies. Expensive ATE has number of pins that works in high frequencies but that will be very expensive to go with to avoid that in this project at speed pulses is generated by a logic that is given to STUMP based LBIST
Keywords — ATE, LBIST
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document provides an overview of total quality management (TQM) concepts for manufacturing, including standard operating procedures (SOP), statistical process control (SPC), process capability indices, and control charts. It discusses how SOPs and quality control process charts are used to standardize operations and check quality. Statistical process control tools like control charts help monitor processes for variation. Process capability indices like Cp and Cpk indicate if a process is capable of meeting specifications. Together, these TQM elements aim to reduce variation and improve quality in manufacturing operations and supply chains.
The document describes the automation of labour reporting at a depot through a Kaizen process.
The initial labour reporting process was paper-based, time-consuming, and prone to errors. Team Leaders would manually record hours on paper sheets that were then transferred to electronic sheets by administrators. This created inefficiencies.
Through Kaizen proposals, an electronic database was created to automate the reporting. Data from individual workstations was automatically compiled into daily reports with minimal effort. This saved over 18 manhours per day and €54,500 annually while improving accuracy and providing standardized daily feedback. Employees and managers recognized benefits including improved productivity tracking and root cause analysis capabilities.
The document discusses a case study involving the evaluation of a measurement system for an important quality variable, CTQ1, at W.R. Grace. A measurement systems analysis (MSA) study was conducted involving the four worldwide sites that produce the raw material. The results showed a high %GR&R of 94.3% and P/T ratio of 116%, indicating significant measurement error. When analyzed separately, the sites showed varying levels of measurement capability, with one site having a %GR&R of 38.9%. The MSA study identified opportunities to improve the measurement system and link it back to process improvements.
This document discusses improvements to nested loop joins (NLJs) in Oracle 11g. A new technique called table batching is introduced that creates two NLJs - one for the index and another for the table. This performs similarly to the prefetching technique in 9i. Testing shows that consistent gets are reduced from 42,000 to 34,000 from 10g to 11g for all techniques. The batching technique is fastest while classic NLJ is slowest. Array size also impacts consistent gets by determining the number of network round trips. In conclusion, prefetching benefits non-unique indexes, and 11g optimizations improve performance versus 10g for all join techniques.
This report analyzes the impact of relative humidity, cooling load, and wet bulb temperature on the energy efficiency of a chiller plant. It finds that wet bulb temperature is the main driver of chiller efficiency, while relative humidity most impacts cooling tower efficiency. A regression model is developed to optimize the approach temperature, which could save an estimated 4.78% of total monthly energy consumption if implemented. However, the model may not generalize to other plants due to differences in capacity and conditions.
One of the most important, yet often overlooked, aspects of predictive modeling is the transformation of data to create model inputs, better known as feature engineering (FE). This talk will go into the theoretical background behind FE, showing how it leverages existing data to produce better modeling results. It will then detail some important FE techniques that should be in every data scientist’s tool kit.
The document discusses a case study evaluating the measurement system for a key quality variable (CTQ1) at W.R. Grace. A measurement systems analysis was conducted across four sites measuring CTQ1. The results showed high measurement variation compared to process variation, with an overall %GRR of 94.3. While some sites had acceptable P/T ratios and variation, the overall system lacked discrimination. Improving the measurement system accuracy and precision could help reduce hidden factory costs and further process improvements.
Six sigma-in-measurement-systems-evaluating-the-hidden-factory (2)Bibhuti Prasad Nanda
The document discusses a case study conducted at W.R. Grace to evaluate the measurement system for an important quality variable, CTQ1, at four worldwide production locations. An MSA study was performed to determine the %GRR, P/T ratio, and bias of the CTQ1 measurement. The results showed high measurement variation contributed by the operators and interactions between operators and samples. Process data was then linked to the MSA study, showing representative samples were selected and improvements to the measurement system could reduce hidden factory costs from over-processing and rework.
This document provides an overview of process capability and how to calculate it. Process capability is a measurement of how well a process is performing compared to customer requirements. It is calculated by collecting process data, checking if the data is normally distributed, and using formulas to determine metrics like Cp, Cpk which indicate if the process mean and variability are able to meet specifications. If a process is found to be incapable, actions would be taken like process improvement projects to address performance gaps.
The document discusses a case study measuring a critical quality trait (CTQ1) at a manufacturing company. A measurement study of CTQ1 was conducted across four worldwide sites to evaluate the measurement system. The results showed high measurement error, with an overall %GRR of 94.3% and P/T ratio of 116%. When analyzed by site, two sites showed significant differences in CTQ1 averages. The high measurement variability masked potential process improvements. Improving the measurement system capability could help the company better understand real process variation and identify opportunities to optimize production.
This document describes the design and development of a reaction time and impact force measuring device. The device uses sensors, a data acquisition system, and LabVIEW programming to measure impact force, reaction time, and response time during a punching bag target experiment. Prototypes were developed using various materials and components like load cells, a footswitch, and laser pointer. The device was calibrated and used to collect both static and dynamic force measurements as well as to study force loss through absorption materials. Programming in LabVIEW incorporated state machines to control the experiment sequence and collect/display the measured data.
Similar to Best in Industry Practices Thermal Trimming of a Nuclear Reactor (20)
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
Levelised Cost of Hydrogen (LCOH) Calculator ManualMassimo Talia
The aim of this manual is to explain the
methodology behind the Levelized Cost of
Hydrogen (LCOH) calculator. Moreover, this
manual also demonstrates how the calculator
can be used for estimating the expenses associated with hydrogen production in Europe
using low-temperature electrolysis considering different sources of electricity
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
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Best in Industry Practices Thermal Trimming of a Nuclear Reactor
1. 3458.03457.53457.03456.53456.03455.53455.03454.5
LSL USL 3458
Unit 1 MW T March 05 8 hr avg.
3458.03457.53457.03456.53456.03455.53455.03454.5
LSL USL 34583458
Unit 2 MW T March 05 8 hr avg
Before Improvement 2 Weeks After Kaizen
XO-1
XO-2
3457.753457.153456.553455.953455.353454.753454.15
LSL USL 3458
Unit 1 8 hr avg MW Thermal Sept 07
3457.53457.03456.53456.03455.53455.03454.5
LSL USL 3458
Unit 2 8 hr avg. MW Thermal Sept. 07
“THE ELIMINATION OF WASTE” BENEFITS / RESULTS
Operator Variability was present Shift to Shift and Crew to Crew
Team implemented Stardardized Work
> All Crews Applied same method for operating the Core Thermally <
Results = additional $500K revenue / year
2. SMART Goal / Purpose:
Establish clear guidance and improved tools to monitor and
safely maximize power production at steady state full power
Project Scope Information:
Reduce variability in Reactor Thermal output by establishing
a best practice.
Deliverables / Desired Outcomes:
•Clear guidance
•Plant Computer and/or tool modifications
•Training required for Operations and Management
Sponsor: Tim Clouser
Team Leader: Brian St. Louis
Coach: Scott Helm / Todd
McCann / Bob Phillips
Team Members:
• Doug Basinger
• Jim Dunlap
• Clint Burgett
• Joe Egan
• Tim Hope
• Mark Winkelblech
• Cody Lemons
Event Dates: 2-08-06 to 6-30-06
Team Charter For: Maintain 3458 MWth
3. 3458 MWth Improvement Progression Path
“Tightening Up the Capability of the Process STEP 1”
4. 3458 MWth Improvement Progression Path
“Tightening Up the Capability of the Process STEP 2”
5. 3458.03457.53457.03456.53456.03455.53455.03454.5
LSL USL 3458
Unit 1 MW T March 05 8 hr avg.
3458.03457.53457.03456.53456.03455.53455.03454.5
LSL USL 34583458
Unit 2 MW T March 05 8 hr avg
Before After
3458 Team
Unit 1
Note Spec Limits + .5 MWt
Variation reduced 48%
SPC and
Best Practices
3457.53457.03456.53456.03455.53455.03454.5
LSL USL 3458
Unit 2 Dec 07 MWt 8 hr avg.
3457.83457.23456.63456.03455.43454.83454.23453.6
LSL USL 3458
Unit 1 Dec 07 MWt 8 hr avg.
Unit 2
6. 3457.83457.23456.63456.03455.43454.83454.2
LSL USL 3458
Process Data
Sample N 730
StDev (Within) 0.187127
StDev (O v erall) 0.432405
LSL 3456
Target *
USL 3457
Sample Mean 3456.64
Potential (Within) C apability
C C pk 0.89
O v erall C apability
Pp 0.39
PPL 0.50
PPU 0.27
Ppk
C p
0.27
C pm *
0.89
C PL 1.15
C PU 0.63
C pk 0.63
O bserv ed Performance
PPM < LSL 52054.79
PPM > USL 171232.88
PPM Total 223287.67
Exp. Within Performance
PPM < LSL 285.53
PPM > USL 28784.30
PPM Total 29069.84
Exp. O v erall Performance
PPM < LSL 68000.45
PPM > USL 205597.01
PPM Total 273597.46
Within
Overall
Unit 1 Dec. 06 8 hr. avg. Process Capability
3457.85
3457.60
3457.35
3457.10
3456.85
3456.60
3456.35
3456.10
LSL USL 3458
Process Data
Sample N 744
StDev(Within) 0.0976995
StDev(O verall) 0.241094
LSL 3456.5
Target *
USL 3457.5
Sample Mean 3456.93
Potential (Within) C apability
C C pk 1.71
O v erall C apability
Pp 0.69
PPL 0.59
PPU 0.79
Ppk
C p
0.59
C pm *
1.71
C PL 1.46
C PU 1.95
C pk 1.46
O bserved Performance
PPM < LSL 45698.92
PPM > USL 2688.17
PPM Total 48387.10
Exp. Within Performance
PPM < LSL 6.16
PPM > USL 0.00
PPM Total 6.16
Exp. O v erall Performance
PPM < LSL 38223.62
PPM > USL 8748.98
PPM Total 46972.60
Within
Overall
Unit 1 March 08 MWt 8 hr avg.
3458.03457.63457.23456.83456.43456.03455.6
LSL USL 3458
Process Data
Sample N 738
StDev (Within) 0.15937
StDev (O v erall) 0.343769
LSL 3456
Target *
USL 3457
Sample Mean 3456.93
Potential (Within) C apability
C C pk 1.05
O v erall C apability
Pp 0.48
PPL 0.90
PPU 0.07
Ppk
C p
0.07
C pm *
1.05
C PL 1.95
C PU 0.14
C pk 0.14
O bserv ed Performance
PPM < LSL 8130.08
PPM > USL 474254.74
PPM Total 482384.82
Exp. Within Performance
PPM < LSL 0.00
PPM > USL 336706.30
PPM Total 336706.30
Exp. O v erall Performance
PPM < LSL 3328.45
PPM > USL 422543.39
PPM Total 425871.84
Within
Overall
Unit 2 Dec. 06 8 hr. avg Process Capability
3458.03457.63457.23456.83456.43456.03455.63455.2
LSL USL 3458
Process Data
Sample N 369
StDev (Within) 0.157203
StDev (O v erall) 0.395786
LSL 3456.5
Target *
USL 3457.5
Sample Mean 3456.83
Potential (Within) C apability
C C pk 1.06
O v erall C apability
Pp 0.42
PPL 0.27
PPU 0.57
Ppk
C p
0.27
C pm *
1.06
C PL 0.69
C PU 1.43
C pk 0.69
O bserv ed Performance
PPM < LSL 178861.79
PPM > USL 37940.38
PPM Total 216802.17
Exp. Within Performance
PPM < LSL 18903.58
PPM > USL 9.17
PPM Total 18912.75
Exp. O v erall Performance
PPM < LSL 204702.40
PPM > USL 44407.83
PPM Total 249110.23
Within
Overall
Unit 2 March 08 MWt 8 hr avg.
7. 3457.63456.83456.03455.23454.43453.6
LSL USL 3458
Process Data
Sample N 721
StDev (Within) 0.12954
StDev (O v erall) 0.6198
LSL 3456
Target *
USL 3457
Sample Mean 3456.2
Potential (Within) C apability
C C pk 1.29
O v erall C apability
Pp 0.27
PPL 0.11
PPU 0.43
Ppk
C p
0.11
C pm *
1.29
C PL 0.52
C PU 2.06
C pk 0.52
O bserv ed Performance
PPM < LSL 294036.06
PPM > USL 67961.17
PPM Total 361997.23
Exp. Within Performance
PPM < LSL 60617.29
PPM > USL 0.00
PPM Total 60617.29
Exp. O v erall Performance
PPM < LSL 373016.51
PPM > USL 98603.62
PPM Total 471620.12
Within
Overall
Process Capability of 8 hr 1
3457.63456.83456.03455.23454.43453.6
LSL USL 3458
Process Data
Sample N 709
StDev (Within) 0.121947
StDev (O v erall) 0.38627
LSL 3456
Target *
USL 3457
Sample Mean 3457.1
Potential (Within) C apability
C C pk 1.37
O v erall C apability
Pp 0.43
PPL 0.95
PPU -0.08
Ppk
C p
-0.08
C pm *
1.37
C PL 2.99
C PU -0.26
C pk -0.26
O bserv ed Performance
PPM < LSL 9873.06
PPM > USL 623413.26
PPM Total 633286.32
Exp. Within Performance
PPM < LSL 0.00
PPM > USL 783483.59
PPM Total 783483.59
Exp. O v erall Performance
PPM < LSL 2281.40
PPM > USL 597745.39
PPM Total 600026.79
Within
Overall
Process Capability of 8 hr 1
The results show an increase of
0.9 MWth and a 39% reduction in
variation
March 2005
March 2006
Unit 1 Thermal MW data
8 Hour average
Operating System
Initiative 19.09 –
Maintain 3458MWth
8. 3458.0
3457.5
3457.0
3456.5
3456.0
3455.5
3455.0
3454.5
LSL USL 34583458
Process Data
Sample N 469
StDev (Within) 0.104038
StDev (O v erall) 0.658612
LSL 3456
Target *
USL 3457
Sample Mean 3455.85
Potential (Within) C apability
C C pk 1.60
O v erall C apability
Pp 0.25
PPL -0.08
PPU 0.58
Ppk
C p
-0.08
C pm *
1.60
C PL -0.48
C PU 3.69
C pk -0.48
O bserv ed Performance
PPM < LSL 582089.55
PPM > USL 19189.77
PPM Total 601279.32
Exp. Within Performance
PPM < LSL 926819.78
PPM > USL 0.00
PPM Total 926819.78
Exp. O v erall Performance
PPM < LSL 590739.05
PPM > USL 40250.15
PPM Total 630989.20
Within
Overall
Process Capability of 8 hr 2
3458.03457.53457.03456.53456.03455.53455.03454.5
LSL USL 3458
Process Data
Sample N 721
StDev (Within) 0.13827
StDev (O v erall) 0.369146
LSL 3456
Target *
USL 3457
Sample Mean 3457.18
Potential (Within) C apability
C C pk 1.21
O v erall C apability
Pp 0.45
PPL 1.06
PPU -0.16
Ppk
C p
-0.16
C pm *
1.21
C PL 2.83
C PU -0.42
C pk -0.42
O bserv ed Performance
PPM < LSL 2773.93
PPM > USL 712898.75
PPM Total 715672.68
Exp. Within Performance
PPM < LSL 0.00
PPM > USL 898276.78
PPM Total 898276.78
Exp. O v erall Performance
PPM < LSL 722.95
PPM > USL 683095.25
PPM Total 683818.20
Within
Overall
Process Capability of 8 hr 2
The results show an increase of
1.2 MWth and a 44% reduction in
variation
March 2005
March 2006
Unit 2 Thermal MW data
8 Hour average
Operating System
Initiative 19.09 –
Maintain 3458MWth
9. From: Clouser, Tim
Sent: Friday, March 07, 2008 9:17 AM
To: Mccann, Todd
Subject: RE: February 3458 Results
To: Basinger, Doug; Phillips, Bob; Clouser, Tim; St Louis, Brian; Helm, Scott; Dunlap, Jim; Egan, Joseph; Burgett, Clinton; Lemons, Cody; Winkelblech, Mark; Hope, Timothy
Cc: Mitchell, Brian; Ross, Greg; Goodwin, Dave; Harvey, Scotty; Fuller, David; Davis, Doug; Vines, Dale; Flores, Rafael
Subject: RE: February 3458 Results
To everyone,
I am not one to look backward all of the time, but I can vividly recall the big picture course of events that led up to the this Best in Class Guidance of operating our plant thermally.
Kick-off: Brain St. Louis Facilitating the team, at the NOSF.
Sincerely, What I saw was a high potential team of people being built to create a safe and reliable standard of work with how we thermally trim reactor power.
Together we exposed fears and aspirations about what we were getting ourselves into in the forthcoming workflows, building guidance and then implementing the guidance, measuring our efforts, checking and
adjust what we said we were going to do with the guidance to continuously improve. Tim Clouser’s unconditional support for the team, which from my perspective was pivotal to success.
Our time out at STC and the formation of a cross functional self directed work team focused on working through the potential barriers and operational traps. Outside In View: Doug B. volunteering to call other
stations regarding their current guidance and mode of thermal operation. Eye Opening!
Tim Hope’s support and insights from the perspective of Regulatory Affairs, and our alignment to the letter of the law if you will.
Mark Winkelblech’s unveiling of the inner workings of the Calometric measurement and the HOW it Happens, versus what we see on the screen in the control room. I believe Mark was a big part of the
formation of new mental models of operation through sharing information and this information positively impacted and promoted our learning process and new found knowledge of digital control operation.
I think we referred to the Calometric as a little black box, (I know I did) My ignorance of the controls combined with intellectual curiosity plus being a nuclear neophyte, drove my active listening to a higher level
during the communications of the HOW the controls work.
This awareness of ignorance and change in mindset took me to a new level of operational understanding. Thanks Mark and Team, you helped create new knowledge.
Our religion and commitment around proper communications demonstrated by the team then Sharing the new knowledge through providing exceptional formal training before any changes were operationally
implemented coupled with constant during implementation and then reviewing for necessary course corrections and then making them happen. The PDCA Plan Do Check Act continuous improvement cycle at
work…
The biggest part was all of the operations folks, not just the team members, who deliberately pulled their thoughts together to create superior guidance for themselves to support the entire station, always
keeping nuclear safety at the forefront, taking new found knowledge and situational awareness to a new level when interfacing with the Calometric and properly implementing new guidance for trimming the
plant thermally to a reach Superior levels of performance. A picture of Excellence.
Thanks to all who contributed and sorry for the winded storyline..