Designing control algorithms with Gebhardt flex conveyor kit.
Conveyor System Design with already defined flow intensities, decision table and experiment.
Tank liquid level control using narma l2 and mpc controllersMustefa Jibril
Liquid level control is highly important in industrial applications such as boilers in nuclear power plants.
In this paper a simple liquid level tank is designed based on NARMA-L2 and Model Predictive control controllers.
The simple water level tank has one input, liquid flow inn and one output, liquid level. The proposed controllers is
compared in MATLAB and then simulated in Simulink to test how the system actual liquid level track the desired
liquid level with two input desired signals (step and white noise). The response of the NARMA-L2 controller is then
compared with a MPC controller. The results are shown sequentially and the effectiveness of the controller is
illustrated
Experimental results of vector control for an asynchronous machineTELKOMNIKA JOURNAL
The aim of this article is contributeto the advanced vector control strategy of asynchronous machines. Analyzes of experimental of indirect field-oriented control are presented. In this context, we propose vector control algorithms to provide solutions to the disadvantages of field-oriented control FOC.The results obtained from various methods of determining the parameters for asynchronous machine are compared. We calculate the various parameters and then we present the technical characteristics of each element of the asynchronous machine; finally, we implement the vector control used asbasis of comparison between the simulation under Matlab/Simulink software and experiments. The simulation and experimental tests show that the proposed controller is suitable for medium and high-performance applications.
Channelization is a multiple-access method in which the available bandwidth of a link is shared in time, frequency, or through code, between different stations. The three channelization protocols are FDMA, TDMA, and CDMA
The Cerebellar Model Articulation Controller (CMAC) is an influential cerebrum propelled processing model in
numerous pertinent fields. There are different researches done using CMAC in many applications using its
characteristics in easy implementation and good results for example: facial expression recognition, pattern
recognition etc. In this paper we have presented some methods of using CMAC and presents their results.
Tank liquid level control using narma l2 and mpc controllersMustefa Jibril
Liquid level control is highly important in industrial applications such as boilers in nuclear power plants.
In this paper a simple liquid level tank is designed based on NARMA-L2 and Model Predictive control controllers.
The simple water level tank has one input, liquid flow inn and one output, liquid level. The proposed controllers is
compared in MATLAB and then simulated in Simulink to test how the system actual liquid level track the desired
liquid level with two input desired signals (step and white noise). The response of the NARMA-L2 controller is then
compared with a MPC controller. The results are shown sequentially and the effectiveness of the controller is
illustrated
Experimental results of vector control for an asynchronous machineTELKOMNIKA JOURNAL
The aim of this article is contributeto the advanced vector control strategy of asynchronous machines. Analyzes of experimental of indirect field-oriented control are presented. In this context, we propose vector control algorithms to provide solutions to the disadvantages of field-oriented control FOC.The results obtained from various methods of determining the parameters for asynchronous machine are compared. We calculate the various parameters and then we present the technical characteristics of each element of the asynchronous machine; finally, we implement the vector control used asbasis of comparison between the simulation under Matlab/Simulink software and experiments. The simulation and experimental tests show that the proposed controller is suitable for medium and high-performance applications.
Channelization is a multiple-access method in which the available bandwidth of a link is shared in time, frequency, or through code, between different stations. The three channelization protocols are FDMA, TDMA, and CDMA
The Cerebellar Model Articulation Controller (CMAC) is an influential cerebrum propelled processing model in
numerous pertinent fields. There are different researches done using CMAC in many applications using its
characteristics in easy implementation and good results for example: facial expression recognition, pattern
recognition etc. In this paper we have presented some methods of using CMAC and presents their results.
Abstract The data can get lost, reordered or duplicated due to the presence of routers and buffer space over the unreliable channel in the conventional networks. The data link layer deals with frame formation, flow control, error control, and addressing and link management. All such functions will be performed only by data link protocols. The sliding window protocol will detect and correct error if the received data have enough redundant bits or repeat a retransmission of data. The paper shows the working of this duplex protocol of data link network. Keywords: ACK, GOBACK, ARQ, NACK.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Performance Analysis in Cellular Networks Considering the QoS by Retrial Queu...IJCNCJournal
In this article, a retrial queueing model will be considered with persevering customers for wireless cellular networks which can be frequently applied in the Fractional Guard Channel (FGC) policies, including Limited FGC (LFGC), Uniform FGC (UFGC), Limited Average FGC (LAFGC) and Quasi Uniform FGC (QUFGC). In this model, the examination on the retrial phenomena permits the analyses of important effectiveness measures pertained to the standard of services undergone by users with the probability that a fresh call first arrives the system and find all busy channels at the time, the probability that a fresh call arrives the system from the orbit and find all busy channels at the time and the probability that a handover call arrives the system and find all busy channels at the time. Comparison between four types of the FGC policy can befound to evaluate the performance of the system.
PERFORMANCE ANALYSIS IN CELLULAR NETWORKS CONSIDERING THE QOS BY RETRIAL QUEU...IJCNCJournal
In this article, a retrial queueing model will be considered with persevering customers for wireless cellular
networks which can be frequently applied in the Fractional Guard Channel (FGC) policies, including
Limited FGC (LFGC), Uniform FGC (UFGC), Limited Average FGC (LAFGC) and Quasi Uniform FGC
(QUFGC). In this model, the examination on the retrial phenomena permits the analyses of important
effectiveness measures pertained to the standard of services undergone by users with the probability that a
fresh call first arrives the system and find all busy channels at the time, the probability that a fresh call
arrives the system from the orbit and find all busy channels at the time and the probability that a handover
call arrives the system and find all busy channels at the time. Comparison between four types of the FGC
policy can befound to evaluate the performance of the system.
Fuzzy Control of a Large Crane Structureijeei-iaes
The usage of tower cranes, one type of rotary cranes, is common in many industrial structures, e.g., shipyards, factories, etc. With the size of these cranes becoming larger and the motion expected to be faster and has no prescribed path, their manual operation becomes difficult and hence, automatic closed-loop control schemes are very important in the operation of rotary crane. In this paper, the plant of concern is a tower crane consists of a rotatable jib that carries a trolley which is capable of traveling over the length of the jib. There is a pendulum-like end line attached to the trolley through a cable of variable length. A fuzzy logic controller with various types of membership functions is implemented for controlling the position of the trolley and damping the load oscillations. It consists of two main types of controllers radial and rotational each of two fuzzy inference engines (FIEs). The radial controller is used to control the trolley position and the rotational is used for damping the load oscillations. Computer simulations are used to verify the performance of the controller. The results from the simulations show the effectiveness of the method in the control of tower crane keeping load swings small at the end of motion.
Distance protection scheme for transmission line using back propagation neura...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Multi-Machine Stability Using Dynamic Inversion Technique IJECEIAES
Stability studies of multi machine system are a major concern to power system engineers due to the increasing complexity involved. This paper deals with the application of a nonlinear technique called Dynamic Inversion, to TCSC for the improvement of stability of multi-machine system. The transient stability studies for various cases: without any controller, with 75% line compensation and with Dynamic Inversion technique, are compared. The critical clearing time as well as the maximum loading ability is also discussed. The result for the nonlinear controller is found to be better than all the other cases.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A simple faulted phase-based fault distance estimation algorithm for a loop d...nooriasukmaningtyas
This paper presents a single ended faulted phase-based traveling wave fault localization algorithm for loop distribution grids which is that the sensor can get many reflected signals from the fault point to face the complexity of localization. This localization algorithm uses a band pass filter to remove noise from the corrupted signal. The arriving times of the faulted phase-based filtered signals can be obtained by using phase-modal and discrete wavelet transformations. The estimated fault distance can be calculated using the traveling wave method. The proposed algorithm presents detail level analysis using three detail levels coefficients. The proposed algorithm is tested with MATLAB simulation single line to ground fault in a 10 kV grounded loop distribution system. The simulation result shows that the faulted phase time delay can give better accuracy than using conventional time delays. The proposed algorithm can give fault distance estimation accuracy up to 99.7% with 30 dB contaminated signal-to-noise ratio (SNR) for the nearest lines from the measured terminal.
A simple faulted phase-based fault distance estimation algorithm for a loop d...IJEECSIAES
This paper presents a single ended faulted phase-based traveling wave fault localization algorithm for loop distribution grids which is that the sensor can
get many reflected signals from the fault point to face the complexity of localization. This localization algorithm uses a band pass filter to remove noise from the corrupted signal. The arriving times of the faulted phasebased filtered signals can be obtained by using phase-modal and discrete
wavelet transformations. The estimated fault distance can be calculated using the traveling wave method. The proposed algorithm presents detail
level analysis using three detail levels coefficients. The proposed algorithm is tested with MATLAB simulation single line to ground fault in a 10 kV grounded loop distribution system. The simulation result shows that the
faulted phase time delay can give better accuracy than using conventional time delays. The proposed algorithm can give fault distance estimation accuracy up to 99.7% with 30 dB contaminated signal-to-noise ratio (SNR)
for the nearest lines from the measured terminal.
Research Inventy : International Journal of Engineering and Scienceinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Excel Tutorials - Finding & Removing the Duplicate ValuesMerve Nur Taş
Excel Tutorials with screenshots.
Useful Tricks: Learn how to find and remove the duplicate values in Excel.
Duplicate cells in excel
Filtering data
Microsoft Excel for Mac (2016 Version)
Abstract The data can get lost, reordered or duplicated due to the presence of routers and buffer space over the unreliable channel in the conventional networks. The data link layer deals with frame formation, flow control, error control, and addressing and link management. All such functions will be performed only by data link protocols. The sliding window protocol will detect and correct error if the received data have enough redundant bits or repeat a retransmission of data. The paper shows the working of this duplex protocol of data link network. Keywords: ACK, GOBACK, ARQ, NACK.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Performance Analysis in Cellular Networks Considering the QoS by Retrial Queu...IJCNCJournal
In this article, a retrial queueing model will be considered with persevering customers for wireless cellular networks which can be frequently applied in the Fractional Guard Channel (FGC) policies, including Limited FGC (LFGC), Uniform FGC (UFGC), Limited Average FGC (LAFGC) and Quasi Uniform FGC (QUFGC). In this model, the examination on the retrial phenomena permits the analyses of important effectiveness measures pertained to the standard of services undergone by users with the probability that a fresh call first arrives the system and find all busy channels at the time, the probability that a fresh call arrives the system from the orbit and find all busy channels at the time and the probability that a handover call arrives the system and find all busy channels at the time. Comparison between four types of the FGC policy can befound to evaluate the performance of the system.
PERFORMANCE ANALYSIS IN CELLULAR NETWORKS CONSIDERING THE QOS BY RETRIAL QUEU...IJCNCJournal
In this article, a retrial queueing model will be considered with persevering customers for wireless cellular
networks which can be frequently applied in the Fractional Guard Channel (FGC) policies, including
Limited FGC (LFGC), Uniform FGC (UFGC), Limited Average FGC (LAFGC) and Quasi Uniform FGC
(QUFGC). In this model, the examination on the retrial phenomena permits the analyses of important
effectiveness measures pertained to the standard of services undergone by users with the probability that a
fresh call first arrives the system and find all busy channels at the time, the probability that a fresh call
arrives the system from the orbit and find all busy channels at the time and the probability that a handover
call arrives the system and find all busy channels at the time. Comparison between four types of the FGC
policy can befound to evaluate the performance of the system.
Fuzzy Control of a Large Crane Structureijeei-iaes
The usage of tower cranes, one type of rotary cranes, is common in many industrial structures, e.g., shipyards, factories, etc. With the size of these cranes becoming larger and the motion expected to be faster and has no prescribed path, their manual operation becomes difficult and hence, automatic closed-loop control schemes are very important in the operation of rotary crane. In this paper, the plant of concern is a tower crane consists of a rotatable jib that carries a trolley which is capable of traveling over the length of the jib. There is a pendulum-like end line attached to the trolley through a cable of variable length. A fuzzy logic controller with various types of membership functions is implemented for controlling the position of the trolley and damping the load oscillations. It consists of two main types of controllers radial and rotational each of two fuzzy inference engines (FIEs). The radial controller is used to control the trolley position and the rotational is used for damping the load oscillations. Computer simulations are used to verify the performance of the controller. The results from the simulations show the effectiveness of the method in the control of tower crane keeping load swings small at the end of motion.
Distance protection scheme for transmission line using back propagation neura...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Multi-Machine Stability Using Dynamic Inversion Technique IJECEIAES
Stability studies of multi machine system are a major concern to power system engineers due to the increasing complexity involved. This paper deals with the application of a nonlinear technique called Dynamic Inversion, to TCSC for the improvement of stability of multi-machine system. The transient stability studies for various cases: without any controller, with 75% line compensation and with Dynamic Inversion technique, are compared. The critical clearing time as well as the maximum loading ability is also discussed. The result for the nonlinear controller is found to be better than all the other cases.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A simple faulted phase-based fault distance estimation algorithm for a loop d...nooriasukmaningtyas
This paper presents a single ended faulted phase-based traveling wave fault localization algorithm for loop distribution grids which is that the sensor can get many reflected signals from the fault point to face the complexity of localization. This localization algorithm uses a band pass filter to remove noise from the corrupted signal. The arriving times of the faulted phase-based filtered signals can be obtained by using phase-modal and discrete wavelet transformations. The estimated fault distance can be calculated using the traveling wave method. The proposed algorithm presents detail level analysis using three detail levels coefficients. The proposed algorithm is tested with MATLAB simulation single line to ground fault in a 10 kV grounded loop distribution system. The simulation result shows that the faulted phase time delay can give better accuracy than using conventional time delays. The proposed algorithm can give fault distance estimation accuracy up to 99.7% with 30 dB contaminated signal-to-noise ratio (SNR) for the nearest lines from the measured terminal.
A simple faulted phase-based fault distance estimation algorithm for a loop d...IJEECSIAES
This paper presents a single ended faulted phase-based traveling wave fault localization algorithm for loop distribution grids which is that the sensor can
get many reflected signals from the fault point to face the complexity of localization. This localization algorithm uses a band pass filter to remove noise from the corrupted signal. The arriving times of the faulted phasebased filtered signals can be obtained by using phase-modal and discrete
wavelet transformations. The estimated fault distance can be calculated using the traveling wave method. The proposed algorithm presents detail
level analysis using three detail levels coefficients. The proposed algorithm is tested with MATLAB simulation single line to ground fault in a 10 kV grounded loop distribution system. The simulation result shows that the
faulted phase time delay can give better accuracy than using conventional time delays. The proposed algorithm can give fault distance estimation accuracy up to 99.7% with 30 dB contaminated signal-to-noise ratio (SNR)
for the nearest lines from the measured terminal.
Research Inventy : International Journal of Engineering and Scienceinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Excel Tutorials - Finding & Removing the Duplicate ValuesMerve Nur Taş
Excel Tutorials with screenshots.
Useful Tricks: Learn how to find and remove the duplicate values in Excel.
Duplicate cells in excel
Filtering data
Microsoft Excel for Mac (2016 Version)
Excel Tutorials - Creating a Hyperlink in ExcelMerve Nur Taş
Excel Tutorials on Mac. For Mac and for windows.
Creating a hyperlink in excel
Adding a link to excel between sheets
HYPERLINK function
Hyperlink Command
Adding URL's to excel
Excel Tutorials - Deleting the Empty Rows Merve Nur Taş
Excel Tutorials with screenshots.
Useful Tricks: Learn how to delete the empty rows in excel
Cleaning empty cells
Filtering data
'Go To' Dialog box in excel
Microsoft Excel for Mac (2016 Version)
Excel Tutorials - VLOOKUP and HLOOKUP FunctionsMerve Nur Taş
Excel Tutorials with screenshots.
Reference and lookup functions in Excel: How to use VLOOKUP and HLOOKUP functions. VLOOKUP function example.
MS Excel 2016 for Mac
This case study focuses on retail distribution in Istanbul, Turkey. We are offering an online sales platform for several independent fashion designers who cannot afford to build one only for themselves or have not yet done it due to lack of knowledge or experience. We will provide an end-to-end service from creation of the platform, marketing, order management, delivery and after sales customer service such as enabling returns and analysing customer satisfaction.
Hub location optimization, delivery routes, customer and order data, delivery options, and much more.
E-payment systems in B2B commerce: A supply Chain Management Perspective.Presentation.
The payments industry has advanced remarkably during the last decade. With the new technologies and increasing mobility, payments can be realized much more efficiently, and the trend is growing rapidly. Advanced e-payment systems are not just helping current businesses to offer better service for their customers but also thanks to e-payments systems it is much easier to build a company from scratch, supply chain finance is much more manageable, sustainability is achieved on a completely different edge that companies willing introduce e-invoicing systems for their customers and much more. However, despite the new developments in the payments industry, for the business-to-business (B2B) transactions, the industry response in much slower compared to business-to-customer (B2C). Introducing electronic payment systems to B2B commerce is increasing visibility and connectivity as well as the simplicity of the transaction process, and this is a radical change for an industry whose major challenges are inefficiency and poor information. This paper is designed to present the compressive benefit analysis of electronic payment systems for B2B industries and motivations and possible barriers for its future applications in the industry.
Resources are citated.
E-payment systems in B2B commerce: A supply Chain Management Perspective.
The payments industry has advanced remarkably during the last decade. With the new technologies and increasing mobility, payments can be realized much more efficiently, and the trend is growing rapidly. Advanced e-payment systems are not just helping current businesses to offer better service for their customers but also thanks to e-payments systems it is much easier to build a company from scratch, supply chain finance is much more manageable, sustainability is achieved on a completely different edge that companies willing introduce e-invoicing systems for their customers and much more. However, despite the new developments in the payments industry, for the business-to-business (B2B) transactions, the industry response in much slower compared to business-to-customer (B2C). Introducing electronic payment systems to B2B commerce is increasing visibility and connectivity as well as the simplicity of the transaction process, and this is a radical change for an industry whose major challenges are inefficiency and poor information. This paper is designed to present the compressive benefit analysis of electronic payment systems for B2B industries and motivations and possible barriers for its future applications in the industry.
The objective of this ramp-up project is to
change from the old to the new layout. The
implementation requires a clear strategy to use
resources efficiently while compromising the
operations as least as possible.
Challenges in ramp-up process according to the findings in articles, Ishikawa analsis for the challenges in ramp-up. Strategies to overcome the mentioned challenges and appopriate ramp-up categories for the strategies.
References are given.
Presentation of findings on Bibliometrics; description, methods with examples, advantages and disadvantages. Methods: Citation counts, Publication counts, H-index and Journal Impact Factor (JIF).
Resources used are shared, please use them.
Ishikawa Diagram, 6-3-5, 6 Thinking HatsMerve Nur Taş
Management Tools presentation: Ishikawa Diagram (Fishbone Diagram), 6-3-5 Technique, Six Thinking Hats
Technical University of Applied Sciences Wildau, October 2017
Resources for the ppt are provided in the last slide.
Claudia Gomez
Hassan Nasirzadeh
Merve Nur Tas
Leonor Filipe
Smart Manufacturing & Manufacturing as a ServiceMerve Nur Taş
Introduction to Smart Manufacturing & Manufacturing as a Service.
Three important concepts are described in the light of various references: Cloud computing, internet of things and advanced data analytics.
Introduction to Smart Manufacturing & Manufacturing as a Service presentation.
Three important concepts are presented: Cloud computing, internet of things and advanced data analytics.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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Designing Control Algorithms with Gebhardt FlexConveyor Kit
1. TECHNICAL UNIVERSITY OF APPLIED SCIENCES WILDAU
FACULTY OF ENGINEERING AND NATURAL SCIENCES
Material Handling Control Systems
Lab Session: Designing Control Algorithms with
GEBHARDT FlexConveyor Modular Conveyor Kit
Academic Master Study programme
“Logistics and Supply Chain Management”
Merve Nur Tas
Supervisor of the Module Course: Prof. Dr. -Ing. Gaby Neumann
2. i
Contents
1 Section 1............................................................................................................................. 1
1.1 Task Definition............................................................................................................ 1
2 Section 2............................................................................................................................. 1
2.1 Initial Control Algorithm and System Layout............................................................. 1
2.2 Formalized Representation.......................................................................................... 2
2.3 Objectives .................................................................................................................... 2
2.4 Working Principle........................................................................................................ 2
3 Section 2: Experiment ........................................................................................................ 3
3.1 Objective(s) ................................................................................................................. 3
3.2 Setting / Working Principle ......................................................................................... 3
3.3 Experimentation Plan / Input....................................................................................... 4
3.4 Observations / Output.................................................................................................. 4
3.5 Results ......................................................................................................................... 5
3.6 Conclusions ................................................................................................................. 5
Figures List:
Figure 1: System Layout ............................................................................................................ 1
Figure 2: Routes ......................................................................................................................... 2
Figure 3: Conveyor System........................................................................................................ 3
Figure 4: FlexControl Monitor................................................................................................... 4
Figure 5: Conveyor System and Boxes used in the Experiment................................................ 5
3. 1
1 Section 1
1.1 Task Definition
i ) Develop alternative control algorithms (and system layout) for enabling effective,
flexible object flows in a conveyor system between 2 sources (ratio of flow
intensities 2:1) and 3 sinks (ratio of demand 1:2:1)
ii ) Plan and run experiments for implementing, testing and evaluating control
algorithms (and system layout) – either or both of the aspects might be adjusted if
problems or malfunctions occur
2 Section 2
2.1 Initial Control Algorithm and System Layout
112
116115
133
111
Figure 1: System Layout
118
129
119
113 128 114
127
4. 2
The system layout used for the experiment is portrayed above in Figure 1. The system
consists of short and long basic conveyors along with multi directional conveyors. The
sources are numerically represented by 112, 111 and are colored orange. The sinks are
represented by the numbers 133, 115, 116 and are colored green. The length of the single
elements is not crucial but the numerical representation in the diagram is imperative for route
depicting purposes. Finally, all these elements can be adjusted according to the availability in
the laboratory. The available conveyor modules are showed below.
Conveyor Modules:
1. Long Basic Conveyor
Used Pieces: 4
2. Short Basic Conveyor
Used Pieces: 5
3. Twisting Basic Conveyor
Used Pieces: None
4. Multi-directional Conveyor
Used Pieces: 3
Conveyor Routes:
Figure 2: Routes
113 128 114
112
118
129
133
115 116
127
119
111
5. 2
Route 1: 112-118-129-133 --- 6 of every 8 boxes fed from 112 will be sent to 133
Route 2: 112-118-119-113-128-115 --- 2 of every 8 boxes fed from 112 will be sent to 115
Route 3: 111-119-127-114-128-115 --- 1 of every 4 boxes fed from 111 will be sent to 115
Route 4: 111-119-127-116 --- 3 of every 4 boxes fed from 111 will be sent to 116
2.2 Formalized Representation
A decision table is the method selected to represent the working algorithm. The main
advantage of this method is that they help you detect every possible combination of
conditions and reduce the risk of having missing requirements that have not been detected and
therefore not tested or developed. Each column in the table corresponds to a rule in the
working logic that describes the unique combination of circumstances that will result in the
actions. The decision table with the complete rules is given below (Table 1). To give an
example, one of the rules is “Send the box to sink 116 if the box is fed from the source 111
and Route 3 is already used.”
Table 1: Decision Table
Rules
Conditions Box is fed from source 112 T T T T F F F F
Box is fed from source 111 F F F F T T T T
Route 1 is used 6 times. F T F T
Route 2 is used 2 times. F F T T
Route 3 is already used. F T F T
Route 4 is used 3 times. F F T T
Actions Send the box to Sink 115 X X X
Send the box to Sink 133 X X
Send to Sink 116 X
Finish Counting and Start from 0. X X
2.3 Objectives
Enabling effective and flexible object flows in a conveyor system between 2 sources (ratio of
flow intensities 2:1) and 3 sinks (ratio of demand 1:2:1).
2.4 Working Principle
For this experiment, the Gebhardt flexible conveyor technology is being used to design the
material handling control system. This technology is composed out of several elements
(conveyors, sensors, actuators) which can be connected and disconnected through cables to
each other. Each conveying segment has female and male input ports. The cables have a
female and male outputs, thus connecting the conveying segments respectively. When
properly connecting cables between components the flow of electricity is ensured along with
6. 3
correct identification of system control algorithm by the main computer. After connecting to
power and proper assembly of the elements there is no further set up needed for the system to
be controlled from the Gebhardt software and represent the system structure and layout on the
screen. Gebhardt FlexConveyor Kit, uses a HTML5-based multifunctional configurator. The
configurator named FlexControl, displays the system layout including each individual
conveyor module and the route definitions. After selecting the Flex Basic mode, system
allows the operator to draw and define the transport route manually with a drag and drop
technique on the screen. The route can be easily redefined, deleted or an existing route
definition can be selected.
3 Section 2: Experiment
3.1 Objective(s)
The objective of this experiment is assembling a conveyor system that allows the flow
of objects between 2 sources (ratio of flow intensities 2: 1) and 3 sinks (ratio of
demand 1: 2: 1).
Further, verify if the control algorithm developed in Section 1 achieves the specified
ratio of flow and demand between sources and sinks.
3.2 Setting / Working Principle
To assemble the conveyor system, 9 sections of (long and short) conveyors and 3
multidirectional conveyors were used. They were connected to each other by means of two
cables, one of them is the data cable and the other is to pass power to the system.
Each conveyor section has an arrow that indicates the direction in which it must be connected,
in some of these components the direction also determines if they are sources or sinks. The
Figure 3: Conveyor System
7. 4
data cable must be connected in the lateral part located ports because the ports below the
conveyor section are used to add other components such as RFID and Data Matrix readers,
and then each cable is secured by a special lock that keeps the cables in place and safe.
The power cable is used to pass electricity from one of the sources that is plugged directly
into the electrical outlet to the entire system through the connection of cables between the
components. Once the entire system is connected, the available conveyors are displayed on
the FlexControl’s screen for system configuration.
3.3 Experimentation Plan / Input
The algorithm was implemented using FlexBasic mode of FlexControl. Through this
controller different routes can be drawn to link a source and a sink.
To perform and test the ratio of flow intensities (2: 1), 12 boxes were used, feeding the
system with 8 boxes from source 112 and with 4 boxes from source 111.
The routes determined before (Route 1, 2, 3 and 4) were drawn by the FlexBasic mode on the
FlexContol monitor. FlexBasic requires the user to draw all the necessary routes and number
them. Then the system applies the drawn routes according to order and when the last route is
used it starts from the route number 1 again and so on. Thus the routes were drawn: route 1-
six times, route 2 - twice, route 3 - once and route 4 - 3 times. This was done taking into
consideration the decision table.
3.4 Observations / Output
The demand rate of each sink was achieved, thus it resulted in receiving sink 1 - six
boxes, sink 2 - three boxes and sink 3 - three boxes out of every 12 boxes have been
sent from two sources.
If the data cables are not properly connected between the conveyors, then the system
does not recognize them.
There were no bottlenecks during any of the experimentation rounds.
Figure 4: FlexControl Monitor
8. 5
3.5 Results
It was proved that the algorithm written in section 1 could be implemented and
complied with the statement.
All boxes were sent and received according to the experimentation plan.
The experiment was run twice continuously, obtaining the same results.
The conveyors must be fitted together and then the safety locks must be placed.
Thanks to the design of the conveyor system there were no bottlenecks or long waiting
times.
3.6 Conclusions
The objective of the developed laboratory session was to design a control algorithm for
enabling an effective and flexible object flow in a conveyor system between 2 sources and 3
sinks. This was done first by describing a structured concept of the technical system to be
automated including the functional components found in the system, and making a formal
representation of the flows and the control strategies to use the conveying technology from
Gebhardt FlexBasic mode.
As a conclusion from the laboratory experiments carried, it can be stated that the control
mode performed in a successful and efficient way as it always reached the objective of having
correct ratios per both, source and sink.
Figure 5: Conveyor System and Boxes used in the Experiment