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TUVFD Parameter Setting kaise karen Part 2 #vfd #electric #engineer
@tusiya_tech
#Parameter Setting In System Operation
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SSOperating systems in 60 seconds
@sshirg
36.4K
CODay 5 of learning Operating System (OS)
Today I covered a few more algorithms that are often asked in interviews.
If you are also learning OS then must cover these important algorithms
1) First-Come, First-Served (FCFS)
2) Shortest Job First (SJF)
3) Priority Scheduling
4) Round Robin (RR) Scheduling
5) Multilevel Queue Scheduling
6) Multilevel Feedback Queue Scheduling
7) Shortest Remaining Time (SRT)
I practiced questions on each one of them, covered their pros and cons along with their use cases.
These are my notes for today—save this video and take screenshots of the notes for a quick overview anytime!
That’s it for today,
#programminglife #programmingchallenge #csstudents #techcompany #learncoding #operatingsystem #interviewprep #jobready #studytips #resources #codingwithyash
@codingwithyash
65.2K
DRThe control valve system operates in a closed circuit, using a positioner to ensure the precise positioning of the valve based on the control signal. The actuator translates this signal into mechanical movement, adjusting the percentage of valve opening to regulate the fluid flow effectively. This coordination between the control signal (4-20 mA), the positioner, the actuator and the valve position ensures optimal performance in industrial processes, maintaining the desired operational parameters.
@drilling.oil
62.5K
FARELATIONAL DATABASE MANAGEMENT SYSTEMS (RDBMS)|UNIT-1 || SEMESTER-3 ||IMPORTANT ANSWERS EXPLANATION
@fab_ali_khan
64.4K
GOIn this video, we solve a unity feedback control system step by step and determine the closed-loop transfer function.
Starting from the block diagram, we carefully derive the transfer function, simplify the expression, and compare it with the standard second-order system form.
You will learn how to:
• Find the closed-loop transfer function
• Determine the natural frequency (ωn)
• Calculate the damping ratio (ζ)
• Identify whether the system is stable or unstable
• Classify the system as underdamped, overdamped, or critically damped
For this system, we show clearly why it is stable but underdamped, and what that means physically in terms of oscillations and overshoot.
This tutorial is perfect for students studying:
Control Systems
Automatic Control
Engineering Mathematics
Electrical & Electronic Engineering
If you found this helpful, don’t forget to:
Like 👍
Comment 💬
Follow for more #transferfunction #ElectricalEngineering #learningelectricity #controlsystems #electricity
@godswill_elect95
84.7K
MIYour System design fails when an API returns conflicting data.
Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio
1️⃣ Cache isn’t shared across servers
👉 Each server keeps its own cached copy, so one has new data and another still has the old one.
Example: Profile update shows on Server A but Server B still returns yesterday’s info.
⸻
2️⃣ Read replicas are lagging behind primary DB
👉 Writes go to the primary, but reads hit a replica that hasn’t synced yet.
Example: User updates email → replica hasn’t synced → API returns the old email.
⸻
3️⃣ Race conditions between parallel writes
👉 Two servers update the same record at the same time and overwrite each other.
Example: Cart quantity updated twice → you randomly see 1 or 2 items.
⸻
4️⃣ Event updates (Kafka/SQS) arrive at different times
👉 Some servers process the update message earlier, others later.
Example: Server A got the “order shipped” event, Server B is still waiting for it.
⸻
5️⃣ Different app versions running in production
👉 Some servers run new logic, others run old logic.
Example: Discount calculation is updated on v2, but v1 servers still return old prices.
⸻
6️⃣ Multiple sources of truth (SQL + NoSQL mismatch)
👉 One DB updates faster than the other, causing mismatched responses.
Example: Order marked delivered in SQL but still out for delivery in NoSQL.
Show your expertise. Add new points in the comments.
Follow for more ! 💡
#systemdesign #apidesign #distributedsystems #microservices #backenddeveloper #softwaredeveloper #caching #database #scaling #readreplica #racecondition #datainconsistency #loadbalancing #eventdriven #programming #coding #devops #techinterview #api #ai #mission_compile #backenddevelopment
( System Design Failure, API Conflicting Data, Distributed System Inconsistency, API Design Problems, Solving Data Inconsistency, Why API returns different results, Fixing data inconsistency in microservices, System design pitfalls data mismatch, Cache synchronization across servers, Handling race conditions in backend)
@mission_compile
675.3K
TH1 command to update it all* Run cmd or powershell as administrator, then type: winget update --all --include-unknown --accept-source-agreements --accept-package-agreements --silent to update a lot of commonly used and available software. #scripting #powershell #techtok #techsupport #pclifehack #windows #CapCut1min+
@thebeardofknowledge_it
21.1K
EN🎯 Modeling and Simulation of a Double Mass-Spring-Damper System in MATLAB 🎯
📩 DM for Code or check my bio for the Shop 🔗
👨💻 Follow for more:
📧 mregnineer294@gmail.com
📷 Instagram: @engrprogrammer2494
▶️ YouTube: @engrprogrammer
🌐 Shop: buymeacoffee.com/engrprogrammer/extras
#engineers #controlsystems #softwareengineering #controltheory #github
#mathematics #matlab #coding #robotics #automation
#dynamics #mechanic #system #modeling #science
#research #simulation #lagrangian #cad #robotics
#python #physic #maths #control #code @mathworks @matlab
@engrprogrammer2494
25.3K
BU🔧 How to Enter Advanced Startup Menu Using Shift + Restart 🚀
Want to access Windows recovery options? Follow this simple trick!
👉 Step-by-Step Guide:
1️⃣ Press and hold Shift ⏩ on your keyboard.
2️⃣ While holding Shift, click Restart 🔄 from the Start Menu (or login screen).
3️⃣ Your PC will reboot into the Advanced Startup Menu ⚙️.
From here, you can:
✅ Troubleshoot issues 🔍
✅ Boot into Safe Mode 🛠️
✅ Access Command Prompt 💻
✅ Reset your PC 🔄
Try it now and take control of your Windows recovery settings! 🚀💙 #WindowsTips #Troubleshooting #AdvancedStartup
@buzz2daytech
113.8K
CLFollow @cloud_x_berry for more info
#APIResponseTime #SystemDesign #BackendPerformance #WebArchitecture #NetworkingProtocols
API performance comparison, gRPC protocol, GraphQL API, REST API, WebSocket protocol, binary protocol, single endpoint API, HTTP caching, persistent connections, full HTTP request, latency optimization, network overhead, API throughput, real time communication, client server architecture, performance benchmarking, scalable APIs, backend optimization, protocol efficiency, user experience speed
@cloud_x_berry
460.7K
SH✅Answer :
⚡ Optimizing a Slow Microservice (Due to External API Calls) ⚡
Use a combination of caching, async processing, and resilience patterns:
🗄️ 1. Caching Responses
• Cache frequent API responses using Redis or in-memory cache
• Set proper TTL ⏳ to avoid stale data
⚡ 2. Asynchronous / Parallel Calls
• Call external APIs in parallel instead of sequential
• Use message queues (Kafka / RabbitMQ) for non-critical async calls
🛡️ 3. Retry & Circuit Breaker Pattern
• Implement circuit breakers (Resilience4j / Hystrix) to prevent cascading failures
• Use retry with exponential backoff for temporary API issues
🔄 4. Fallbacks & Graceful Degradation
• Provide cached / fallback data if the API is slow or down
• Return partial responses to keep the system responsive
🧱 5. Bulkhead & Timeout
• Set timeouts for all external API calls ⏱️
• Use bulkheads to isolate slow APIs from impacting other services
📦 6. Data Replication / Pre-Fetching
• Pre-fetch or replicate frequent data in your own DB for faster access
✅ Smart combo of caching + async + resilience
can bring 2x–10x performance improvement in real-world microservices 🚀
@shubhamkulkarni_insta
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