What features should your Automation Change Management software have?MDT Software
You already know your automation programs need to be backed-up and the different versions of the program need to be stored and managed, so you always have a copy for quick disaster recovery. To do this, you need automation change management software (CMS). This SlideShare will explain the main features needed for a CMS to be effective.
Fuzzy numbers, Nth - order Fuzzy Initial Value Problems, Runge-Kutta method, ...IOSR Journals
A numerical study is presented of two-dimensional laminar steady-state on megneto-hydrodynamics
(MHD) free convection for heat flow patterns within trapezoidal enclosures. A finite element analysis is
performed to investigate the effects of unifor heating and is also used for solving the Navier-Stokes and
Energybalance equations.In this study, cold bottom walls, uniformly heated left and right (side) walls and
insulated top walls with inclination angles (ф) are considered in a trapezoidal enclosure. The present numerical
procedure adopted in this investigation yields consistent performance over a wide range of parameters, Prandtl
numbers, (Pr = 0.026 - 0.7), and Rayleigh numbers (Ra = 103 – 105), Hartmann number (Ha = 50) with various
tilt angles Ф = 450, 300 and 00(square).Numerical results are presented in terms of streamlines, isotherms, heat
function (total heat flux) and nusselt numbers.for different Ra and Pr. As Ra increases conduction dominant
region changes for different Pr. Complete heat transfer analysis is performed in terms of local and average
nusselt numbers.
What features should your Automation Change Management software have?MDT Software
You already know your automation programs need to be backed-up and the different versions of the program need to be stored and managed, so you always have a copy for quick disaster recovery. To do this, you need automation change management software (CMS). This SlideShare will explain the main features needed for a CMS to be effective.
Fuzzy numbers, Nth - order Fuzzy Initial Value Problems, Runge-Kutta method, ...IOSR Journals
A numerical study is presented of two-dimensional laminar steady-state on megneto-hydrodynamics
(MHD) free convection for heat flow patterns within trapezoidal enclosures. A finite element analysis is
performed to investigate the effects of unifor heating and is also used for solving the Navier-Stokes and
Energybalance equations.In this study, cold bottom walls, uniformly heated left and right (side) walls and
insulated top walls with inclination angles (ф) are considered in a trapezoidal enclosure. The present numerical
procedure adopted in this investigation yields consistent performance over a wide range of parameters, Prandtl
numbers, (Pr = 0.026 - 0.7), and Rayleigh numbers (Ra = 103 – 105), Hartmann number (Ha = 50) with various
tilt angles Ф = 450, 300 and 00(square).Numerical results are presented in terms of streamlines, isotherms, heat
function (total heat flux) and nusselt numbers.for different Ra and Pr. As Ra increases conduction dominant
region changes for different Pr. Complete heat transfer analysis is performed in terms of local and average
nusselt numbers.
Impact of Hepatitis B Virus (HBV) Vaccination in Childrens Born to HBV Positi...IOSR Journals
Perinatal HBV transmission is common in South East Asia approximately 25- 30% of the carrier
pool. The problem is not only to the mother but also pertains to the offspring, in pregnancy hepatitis; the
immune alterations in pregnancy may modify the dynamics of the disease. The infants of the mothers, who are
carrying both HBsAg and HBeAg, have the highest risk of acquiring the HBV infection by the perinatal route.
The over all risk may vary from one population to another, depending on the prevalence of HBeAg positivity in
the pregnant women. It is reported and estimated that 22,000 pregnant women in the United States get infected
with hepatitis B virus, which necessitated hepatitis B vaccination of the newborn mandatory in the United
States.
This study was aimed to bring about authenticated documentation on impact of preventive measures by
vaccination that are essential features to plan and implement health measures package in a country.
Results: Inspite of neonatal vaccination against hepatitis B given to all 158 children born to their HBsAg
positive mothers, 6.8% (6/87) of these infants reached the status of chronic HBV infection from their infected
mothers after 12 months follow-up.
Conclusion: 6.8% (6/87) of the infants developed chronic HBV infection in spite of hepatitis B vaccination all
the children by acquiring HBV from their infected mothers as confirmed by twelve months of follow-up
Hey folks,
Please find attached file with concept of window application or Desktop application testing concept, how it differ from client server application, what type of testing should be carried out on window application, how to perform it and related checklists etc.
hope this will be helpful to newbie of testing in window application.
Thanks,
Trupti
Model-driven Framework for Dynamic Deployment and Reconfiguration of Componen...Madjid KETFI
Model-driven Framework for Dynamic Deployment and Reconfiguration of Component-based Software Systems
M. Ketfi and N. Belkhatir
Published in the proceedings of the Metainformatics Symposium, MIS 2005, Esbjerg, Denmark, November 08-11, 2005 (20 pages).
There are many ways to ruin a performance testing project, there is just a handful of ways to do it right. This publication analyses the most widespread performance testing blunders. It is impossible in one article to expose all the varieties of testing wrongdoings; as such, this publication is definitely an open-ended.
Dynamic Component Deployment and (Re) Configuration Using a Unified FrameworkMadjid KETFI
Dynamic Component Deployment and (Re) Configuration Using a Unified Framework
M. Ketfi and N. Belkhatir
Proceedings of the ISCA 18th International Conference on Computer Applications in Industry and Engineering, CAINE 2005, November 9-11, 2005, Honolulu, Hawaii, USA. ISBN 1-880843-57-9 (pages 85-90).
An analysis of software aging in cloud environment IJECEIAES
Cloud computing is the environment in which several virtual machines (VM) run concurrently on physical machines. The cloud computing infrastructure hosts multiple cloud services that communicate with each other using the interfaces. During operation, the software systems accumulate errors or garbage that leads to system failure and other hazardous consequences. This status is called software aging. Software aging happens because of memory fragmentation, resource consumption in large scale and accumulation of numerical error. Software aging degrads the performance that may result in system failure. This happens because of premature resource exhaustion. The errors that cause software agings are of special types and target the response time and its environment. This issue is to be resolved only during run time as it occurs because of the dynamic nature of the problem. To alleviate the impact of software aging, software rejuvenation technique is being used. Rejuvenation process reboots the system or reinitiates the softwares. Software rejuvenation removes accumulated error conditions, frees up deadlocks and defragments operating system resources like memory. Software aging and rejuvenation has generated a lot of research interest recently. This work reviews some of the research works related to detection of software aging and identifies research gaps.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
F017264143
1. IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 2, Ver. VI (Mar – Apr. 2015), PP 41-43
www.iosrjournals.org
DOI: 10.9790/0661-17264143 www.iosrjournals.org 41 | Page
Restoration and Degeneration of the Applications
Rajesh Venkatesan, Ankit Jain and Prateek Arora
Abstract: This study is to analyze and identify solutions for software degeneration lifecycle.
A software runs on multiple platforms (Operating Systems) these days and makes use of their resources which
communicate directly with the hardware. It is, at the time of installation, in its most critical and vulnerable
state because at that moment, it is dealing the system files which were created or configured with latter. Hence,
a software is likely and most probable to degenerate at this stage.
So, in a mechanism where the application state can be saved during its update and installation would act as a
rescue measure if the software degeneration happens during the same.
One crossroad we may come across in the discussion is that the framework that deals with saving the
application state shall be embedded along with the application or can it be made a cross platform extension or
shall it be a facility in the operating system.
Also, from a user point of view, Application Installation, an Upgrade or a Critical Software Patch are always
vulnerable. This not only involves unexpected functioning of the software but also affects the utilization of
resources in the operating system.
This seeks for a restoration framework at the application level. Yes, the operating system for its own self does it
today using checkpoints however it is not for the softwares running over it. Restoring applications specifically
across platforms is required today for clear software installations and upgrades.
I. Experiments and Data analysis:
Observation of the software failures leads to discovery of an important fact that the softwares are
generally in the high risk of failure during their update/upgrade cycle. For a software, when it is in its useful life
as described in the graph below, it undergoes its upgradation many a times and for each single time, there is
dramatic increase in its failure rate.
Fig 1.0
These failure rates makes the software less immune to unstability and thus risk of degeneration in each
upgrade rises as a spike. This graph can help us determine the checkpoints of the restoration that we need to
create in a software’s lifecycle and dispose off when not required.
Now, lets have a look at what the idealized software failure rate curve should look like :-
2. Restoration and Degeneration of the Applications
DOI: 10.9790/0661-17264143 www.iosrjournals.org 42 | Page
Fig 2.0
If we compare the idealized curve to the actual curve, we can easily figure out the drastic increase in
failure rates of the software. The software becomes more and more unstable with each upgrade/change instead
of becoming more stable. Idealized curve shows a consistent drop in slope of the failure rate, but in reality, on
the contrary, upgrades tend to come in each software’s lifetime which leads to the creation of spikes depicting
unstability in the softwares configuration and lifecycle. Each of these spikes calls for the creation of checkpoint
in the underlying system’s permanent memory. As a result, we can come closer to the idealized curve, which is
beneficial for the software as well as the operating system it is running upon.
II. Discussions & Results:
The restoration of the application state can take place by the following three methods:
1) OS to handle application restoration.
2) Standalone Cross Platform Agent.
3) Application level restoration.
OS:-
For the current research and discussion let us take ".dat" files for consideration as they can
appropriately help to understand the whole motive of this research in a nutshell.
The ".dat" files are the ones which provide the information to OS to protect against the pre-existing
virus (if any) in it. A minor change in the configuration data in these files can make them act as their
counterparts i.e. Virus. This has happened in the past in many of the similar software updates. However, if a
healthy state for the application exists, we can make it roll back to that state. For the determination of creation of
checkpoint following procedure can be followed:
An application when installs maintains its entries in the file system and registry. If the file system
changes go smooth during update, then the registry entries are made. So prior to the file system changes, the
current configuration for the application can be saved in the already created file system in some other location in
permanent memory. As a result of this, a disturbed update for the application, as soon as it suspected, can be
rolled back using the data which was stored prior to the update.
There is a drawback in the inbuilt-OS level restoration framework. It will cyreate restoration
framework for all the applications making use of OS resources and user will have no choice to select only a few
particular application which he wants to stored. Also, storing status of every application will use a lot of
memory in the system. For this purpose, we can have an idea of a standalone restoration agent which overcomes
the mentioned drawbacks.
Application Level restoration:
Application level restoration deals with the restoration of the application data using the framework
associated with the application itself. The application level framework will keep check on the upgradation
3. Restoration and Degeneration of the Applications
DOI: 10.9790/0661-17264143 www.iosrjournals.org 43 | Page
cycles and maintain the record of the application data by itself. In working, the application level restoration
framework will work in similar fashion as OS one.
Standalone Cross Platform Agent:
Working of the standalone agent will be similar to the the one as mentioned above in the OS part but
this agent will have the provision of selecting the applications to create the restoration files for. This may be a
standalone application having a UI for selecting the application to create restoration check points.
The agent shall be a cross platform application like as that of JVM which can be made available to all
the OS currently in existence.
III. Conclusion
With all the options considered, it appears that the efficiency of these three restoration methods is still
an open ended question but one thing for sure is that, the applications if restored at certain milestones can help
improve the lifetime of a software. The methods which are mentioned above can precisely help in determining
the checkpoints/milestones for the restoration. In the plot against time and efficiency, it is quite possible to
move the curve more to the ideal line as we restrain the application from withering away its life span everytime
it receives an update.
References:
[1]. https://www.tele-task.de/archive/podcast/9186/
[2]. Operating System Concepts: by Avi Silberschatz, Peter Galvin, Greg Gagne
[3]. Guide to Software Development: Designing and Managing the Life Cycle by Arthur M. Langer
[4]. Operating System: A Design-oriented Approach by Charles Crowley
[5]. A Brief Introduction to Software Development and Quality Assurance Management
[6]. by Steven C. Shaffer