Puppet Camp Düsseldorf 2014: Continuously Deliver Your Puppet Code with Jenki...Puppet
Continuously Deliver Your Puppet Code with Jenkins, r10k and Git (Intermediate) - Toni Schmidbauer, IT Solutions at Spardat GmbH given at Puppet Camp Düsseldorf 2014
Puppet Camp Duesseldorf 2014: Toni Schmidbauer - Continuously deliver your pu...NETWAYS
At s-IT solutions we manage a diverse environment of about 1000 linux (redhat), solaris 10/11 and AIX hosts with the help of puppet open source.
In this talk we give a brief introduction of continuous delivery and explain how we manage our current puppet infrastructure with a focus on the deployment process. We introduce jenkins, a continuous integration server and how we use it to continuously deliver our puppet code base. We also explain how we use git and r10k to manage internal and external (github/forge) puppet modules.
Furthermore, we discuss current shortcomings of our setup and how we plan to improve.
Debugging Intermittent Issues - A How ToLloydMoore
Debugging intermittent issues present a unique set of challenges and requirements to the developer. Of particular interest is question “did this fix actually solve the problem, or am I just getting lucky today?” This talk will show you how to determine, with some level of confidence, if the issue is really solved or just not showing up. In addition issues which only show up rarely have a habit of accumulating until some issue seems to be happening all the time. Techniques for untangling the interaction of multiple issues will be discussed.
Training for Production Management regarding the basic line management procedureRadwan Ahmed Rahat
This Training slide was meant for FCI Group's Line Managements to enlighten them regarding their Job responsibilities and day to day work flow. This training was given by FCI Group's Lean Management Trainers to the line management to make sure they are well aware about the company's change of style in production management.
Mechatronics is a multidisciplinary field that refers to the skill sets needed in the contemporary, advanced automated manufacturing industry. At the intersection of mechanics, electronics, and computing, mechatronics specialists create simpler, smarter systems.
PLC Programming Example - Conveyor Reject (Shift Register)ACC Automation
More information can be obtained at our website.
http://accautomation.ca/plc-programming-example-shift-register-conveyor-reject/
We will apply the five steps to PLC Program development to our next programming example of a shift register - conveyor reject.
1.Define the task
2.Define the inputs and outputs
3.Develop a logical sequence of operation
4.Develop the PLC program
5.Test the program
Another example of programming PLC Shift Registers can be seen at on our product sorting application. This will use 3D factory IO to demonstrate sorting colour tags.
PLC Programming Example – Sorting Station (Shift Register)
http://accautomation.ca/plc-programming-example-sorting-station-shift-register
PLC Programming Example - Sorting Station Testing - Video
https://youtu.be/W0aibYb3DnE
PLC Programming Example - Sorting Station - Video
https://youtu.be/YMl2DPm_yaU
http://www.accautomation.ca
Troubleshooting QC Problems: Your QC has failed, what do you do next?Randox
Randox Quality Control's next 'Improving Laboratory Performance Through Quality Control' educational guide has been published with helpful tips that your laboratory can use in order to ensure it has effective troubleshooting procedures in place.
So you ran QC this morning and realised that one of your analytes has been flagged as 'out-of-control', what do you do next? Do you ignore the warning and continue patient testing, repeat the control until it's within range or do you halt patient testing and investigate the source of the error?
When it comes to troubleshooting QC errors, unfortunately there is no easy path to take. However, it's important that you have standard operating procedures in place, outlining what to do in the event of an out-of control error. Errors occur in laboratories all over the world. A lab with effective troubleshooting procedures in place will still have errors but will be able to detect them, quickly reducing their impact and reducing the risk of wasting both time and money.
Puppet Camp Düsseldorf 2014: Continuously Deliver Your Puppet Code with Jenki...Puppet
Continuously Deliver Your Puppet Code with Jenkins, r10k and Git (Intermediate) - Toni Schmidbauer, IT Solutions at Spardat GmbH given at Puppet Camp Düsseldorf 2014
Puppet Camp Duesseldorf 2014: Toni Schmidbauer - Continuously deliver your pu...NETWAYS
At s-IT solutions we manage a diverse environment of about 1000 linux (redhat), solaris 10/11 and AIX hosts with the help of puppet open source.
In this talk we give a brief introduction of continuous delivery and explain how we manage our current puppet infrastructure with a focus on the deployment process. We introduce jenkins, a continuous integration server and how we use it to continuously deliver our puppet code base. We also explain how we use git and r10k to manage internal and external (github/forge) puppet modules.
Furthermore, we discuss current shortcomings of our setup and how we plan to improve.
Debugging Intermittent Issues - A How ToLloydMoore
Debugging intermittent issues present a unique set of challenges and requirements to the developer. Of particular interest is question “did this fix actually solve the problem, or am I just getting lucky today?” This talk will show you how to determine, with some level of confidence, if the issue is really solved or just not showing up. In addition issues which only show up rarely have a habit of accumulating until some issue seems to be happening all the time. Techniques for untangling the interaction of multiple issues will be discussed.
Training for Production Management regarding the basic line management procedureRadwan Ahmed Rahat
This Training slide was meant for FCI Group's Line Managements to enlighten them regarding their Job responsibilities and day to day work flow. This training was given by FCI Group's Lean Management Trainers to the line management to make sure they are well aware about the company's change of style in production management.
Mechatronics is a multidisciplinary field that refers to the skill sets needed in the contemporary, advanced automated manufacturing industry. At the intersection of mechanics, electronics, and computing, mechatronics specialists create simpler, smarter systems.
PLC Programming Example - Conveyor Reject (Shift Register)ACC Automation
More information can be obtained at our website.
http://accautomation.ca/plc-programming-example-shift-register-conveyor-reject/
We will apply the five steps to PLC Program development to our next programming example of a shift register - conveyor reject.
1.Define the task
2.Define the inputs and outputs
3.Develop a logical sequence of operation
4.Develop the PLC program
5.Test the program
Another example of programming PLC Shift Registers can be seen at on our product sorting application. This will use 3D factory IO to demonstrate sorting colour tags.
PLC Programming Example – Sorting Station (Shift Register)
http://accautomation.ca/plc-programming-example-sorting-station-shift-register
PLC Programming Example - Sorting Station Testing - Video
https://youtu.be/W0aibYb3DnE
PLC Programming Example - Sorting Station - Video
https://youtu.be/YMl2DPm_yaU
http://www.accautomation.ca
Troubleshooting QC Problems: Your QC has failed, what do you do next?Randox
Randox Quality Control's next 'Improving Laboratory Performance Through Quality Control' educational guide has been published with helpful tips that your laboratory can use in order to ensure it has effective troubleshooting procedures in place.
So you ran QC this morning and realised that one of your analytes has been flagged as 'out-of-control', what do you do next? Do you ignore the warning and continue patient testing, repeat the control until it's within range or do you halt patient testing and investigate the source of the error?
When it comes to troubleshooting QC errors, unfortunately there is no easy path to take. However, it's important that you have standard operating procedures in place, outlining what to do in the event of an out-of control error. Errors occur in laboratories all over the world. A lab with effective troubleshooting procedures in place will still have errors but will be able to detect them, quickly reducing their impact and reducing the risk of wasting both time and money.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
1. Lecture 6
Introduction to Neural Networks
and Fuzzy Logic
President University Erwin Sitompul NNFL 6/1
Dr.-Ing. Erwin Sitompul
President University
http://zitompul.wordpress.com
2 0 2 1
3. President University Erwin Sitompul NNFL 6/3
Solution: Homework 5
Fuzzy Control
Fuzzy Logic
r = 5 cm
y = 7 cm
e = –2 cm
y = 1 cm
e = +4 cm
level is too high
error is negative
level is too low
error is positive
4. President University Erwin Sitompul NNFL 6/4
FC with 5 Rules
Solution: Homework 5 (Cont.)
Fuzzy Control
Fuzzy Logic
Rule 1: IF level is okay, THEN valve is no change.
Rule 2: IF level is low, THEN valve is open fast.
Rule 3: IF level is high, THEN valve is close fast.
Rule 4: IF level is okay AND rate is negative,
THEN valve is open slow.
Rule 5: IF level is okay AND rate is positive,
THEN valve is close slow.
Rule 1: IF error is zero, THEN valve is no change.
Rule 2: IF error is positive,THEN valve is open fast.
Rule 3: IF error is negative,THEN valve is close fast.
Rule 4: IF error is zero AND error rate is positive,
THEN valve is open slow.
Rule 5: IF error is zero AND error rate is negative,
THEN valve is close slow.
error = reference – level
rate of error = – rate of level
e = r – y
e = r – y
e = – y
5. President University Erwin Sitompul NNFL 6/5
Solution: Homework 5 (Cont.)
Fuzzy Control
Fuzzy Logic
Valve control signal [%/s]
–30 –20 –10 0 10 20 30
1
Rate of level error [cm/s]
zero positive
negative
–4 –0.5 0 0.5 4
1
Level error [cm]
zero positive
negative
–5 –4 0 4 5
1
1st Set of Membership Functions
6. President University Erwin Sitompul NNFL 6/6
Solution: Homework 5 (Cont.)
Fuzzy Control
Fuzzy Logic
Different
membership
functions will
result
different
control
results.
7. President University Erwin Sitompul NNFL 6/7
Solution: Homework 5 (Cont.)
Fuzzy Control
Fuzzy Logic
Level error [cm]
zero positive
negative
–5 -1 0 1 5
1
2nd Set of Membership Functions
Valve control signal [%/s]
–30 –20 –10 0 10 20 30
1
Rate of level error [cm/s]
zero positive
negative
–4 –0.5 0 0.5 4
1
8. President University Erwin Sitompul NNFL 6/8
Solution: Homework 5 (Cont.)
Fuzzy Control
Fuzzy Logic
Different
membership
functions will
result
different
control
results.
9. President University Erwin Sitompul NNFL 6/9
Solution: Homework 5 (Cont.)
Fuzzy Control
Fuzzy Logic
Level error [cm]
zero positive
negative
–10 –? 0 ? 10
1
3rd Set of Membership Functions
Valve control signal [%/s]
–30 –20 –10 0 10 20 30
1
Rate of level error [cm/s]
zero positive
negative
–4 –0.5 0 0.5 4
1
10. President University Erwin Sitompul NNFL 6/10
Solution: Homework 5 (Cont.)
Fuzzy Control
Fuzzy Logic
Different
membership
functions will
result
different
control
results.
11. President University Erwin Sitompul NNFL 6/11
PID-like Fuzzy Controllers
Fuzzy P Controller
u
+
–
e
r y
Fuzzy Control
Fuzzy Logic
There are many possible realization of fuzzy controllers, as
presented in the following slides.
12. President University Erwin Sitompul NNFL 6/12
PID-like Fuzzy Controllers
Fuzzy PD Controller
u
+
–
e
r
y
Fuzzy Control
Fuzzy Logic
13. President University Erwin Sitompul NNFL 6/13
PID-like Fuzzy Controllers
Fuzzy PID Controller
u
e
r y
+
–
• Weakness: too many rules
Fuzzy Control
Fuzzy Logic
14. President University Erwin Sitompul NNFL 6/14
PID-like Fuzzy Controllers
Fuzzy PD+I Controller
r
+
–
e
y
Du
Fuzzy Control
Fuzzy Logic
15. President University Erwin Sitompul NNFL 6/15
PID-like Fuzzy Controllers
r u
+
–
e y
++
Du
Fuzzy PD+I Controller
Fuzzy Control
Fuzzy Logic
16. President University Erwin Sitompul NNFL 6/16
PID-like Fuzzy Controllers
Fuzzy PD+I Controller
r u
+
–
e y
++
Fuzzy Control
Fuzzy Logic