1. A thermodynamic system is defined as a definite area or space where a thermodynamic process takes place.
2. Temperature is an intensive property of a thermodynamic system, while properties like volume, mass, and energy are extensive.
3. The temperature at which the volume of a gas becomes zero is called the absolute zero temperature.
4. Mechanical engineering questions in competitive exams cover topics like thermodynamics, internal combustion engines, and kinematics.
Internal Combustion Engine Fundamental ConceptsHassan Raza
This presentation was prepared by Mechanical Engineering students during their Internal Combustion Course. Students belong to a very prestigious Engineering institute of Pakistan "University of Engineering and Technology Lahore"
Internal Combustion Engine Fundamental ConceptsHassan Raza
This presentation was prepared by Mechanical Engineering students during their Internal Combustion Course. Students belong to a very prestigious Engineering institute of Pakistan "University of Engineering and Technology Lahore"
Know Everything you want to know about steam nozzles(Turbine Excluded).Know more about De-Laval Nozzles and How we achieve Supersonic velocity from nozzles.Also get to know about other essentials such as Critical pressure ratio and Saturated Flow.You can use this ppt in your projects,journals.It is not copyright protected.
Know Everything you want to know about steam nozzles(Turbine Excluded).Know more about De-Laval Nozzles and How we achieve Supersonic velocity from nozzles.Also get to know about other essentials such as Critical pressure ratio and Saturated Flow.You can use this ppt in your projects,journals.It is not copyright protected.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
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DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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
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
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"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.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Most frequently asked mechanical engineering questions in competitive exams
1. MOST FREQUENTLY ASKED MECHANICAL ENGINEERING QUESTIONS IN COMPETITIVE EXAMS
1. A definite area or space where some thermodynamic process takes place is known as
A thermodynamic system B thermodynamic cycle
C thermodynamic process D thermodynamic law
2. Which of the following is an intensive property of a thermodynamic system?
A volume B Temperature
C mass D energy
3. Temperature at which the volume of the gas becomes 0 is called
A absolute scale of temperature B absolute 0 temperature
C absolute temperature D none of these
4. The unit of energy in SI units is
A joule B joule metre
C watt D joule/metre
5. 1 joule is equal to
A 1 Nm B kNm
C 10 Nm/s D 10 kNm/s
6. In an irreversible process there is a
A loss of heat B no loss of heat
C gain of heat D no gain of heat
7. The following is an SI engine
A diesel engine B petrol engine
C gas engine D none of the above
8. In a 4 stroke cycle petrol engine during suction stroke
A only air is sucked in B only petrol is sucked in
C mixture of petrol and air is sucked in
D none of the above
9. The thermal efficiency of petrol engine as compared to diesel engine is
A lower B higher
C same for same power output D same for same speed
10. Compression ratio of diesel engines may have a range
A 8 to 10 B 10 to 15
C 16 to 20 D none of the above
11 The thermal efficiency of good I.C engine at the rated load is in the range of
A 80 to 90% B 60 to 70%
C 30 to 35% D 10 to 20%
12 Carburettor is used for
A SI engines B gas engines
C CI engines D none of the above
13 In SI engine to develop high voltage for spark plug
A battery is installed B distributor is installed
C carburetor is installed D ignition coil is installed
14 In a four cylinder petrol engine the standard firing order is
A 1-2-3-4 B 1-4-3-2
C 1-3-2-4 D 1-3-4-2
15 The knocking is SI engines increases with
A increase in inlet air temperature B increase in compression ratio
C increase in cooling water temperature D all of the above
16 Petrol commercially available in India for Indian passenger cars has octane
number in the range
A 40 to 50 B 60 to 70
C 80 to 85 D 95 to 100
17 The knocking tendency in C.I engines increases with
A decrease of compression ratio B increase of compression ratio
C increasing the temperature of inlet air D increasing cooling water
temperature
18 The air standard otto cycle comprises
A two constant pressure processes and two constant volume processes
B two constant pressure and two constant entropy processes
C two constant volume processes and two constant entropy processes
D none of the above
19 The thermal efficiency of theoretical otto cycle
A increases with increase in compression ratio
B increases with increase in isentropic index gamma
C does not depend upon the pressure ratio
D follows of the above
20 Thermal efficiency of a gas turbine plant has compared to diesel engine plant is
A higher B lower
C same D may be higher or lower
21 Mechanical efficiency of a gas turbine as compared to internal combustion
Reciprocating engine is
A higher B lower
C same D unpredictable
2. 22 For a gas turbine the pressure ratio may be in the range
A 2 to 3 B 3 to 5
C 16 to 18 D 18 to 22
23 Thermal efficiency of a closed cycle gas turbine plant increases by
A reheating B intercooling
C regenerator D all of the above
24With the increase in pressure ratio thermal efficiency of a simple gas turbine
Plant with fixed turbine inlet temperature
A decreases B increases
C first increases and then decreases D first decreases and then increases
25In two stage turbine plant, reheating after first stage
A increases work ratio B decreases work ratio
C does not affect work ratio D none of the above
26For a jet propulsion unit , ideally the compressor work and turbine work are
A equal B unequal
C not related to each other D unpredictable
27 Various kinematic pairs are given below.choose the lower pair
A ball bearings B tooth gears in mesh
C camm and follower D crank shaft and bearing
28The relation between the number of pairs forming a kinematic chain and the
Number of links is
A l=2p-2 B l=2p-3
C l=2P-4 D l=2p-5
29In a reciprocating engine
A crankshaft and flywheel form 2 kinematic links
B crankshaft and flywheel form 1 kinematics links
C crankshaft and flywheel do not form kinematic links
D flywheel and crankshaft separately form kinematic links
30A kinematic chain is known as a mechanism when
A none of the link is fixed
B one of the links is fixed
C two of the links are fixed
D all of the links are fixed
31 Which of the following is an inversion of single slider crank chain?
A beam engine
B watt’s indicator mechanism
C elliptical trammels
D whitworth quick return motion mechanism
32 control volumes refer to
A a fixed region in space
B a specified mass
C an isolated system
D a closed system
33An isentropic process is always
A irreversible and adiabatic
B reversible and isothermal
C friction less and irreversible
D reversible and adiabatic
34Work done in a free expansion process is
A0
B minimum
C maximum
D positive