Rest API's
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Microservices and rest api's It is important to keep our services small as possible and using REST API we can achieve that. The slideshow give an overview the benefits of a rest api using Node.js or Java (could be any languages).
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Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
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Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
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Rest API's
- 1. REST Rest is a religion RESTafarian VS Pragmatist
- 2. We all agree on why REST - Scalability - Generality - Independence - Latency - Security - Encapsulation Hottest new buzz word MicroServices
- 3. REST - KISS Keep It Simple Stupid
- 4. How to start Find your business entities Understand the requirements
- 6. First: Collection Second: Element Collection/Element [GET] restaurant/1 [GET] restaurant/1/cuisine [GET] restaurants/cuisines/Chinese Human readable no need to read any docs
- 7. Why Follow the Standard 1. Cause that’s the standard and we should follow it. 2. Easier time on documentation 3. We can write a request without using documentation. 4. using the same function for building request from different api end point
- 8. REST Formats Http Method Http status code URI Versioning Request Body Response Body Paging Caching Search / Querying
- 9. Formats? JSON Why Json? - Ubiquity - Simplicity - Readability - Scalability - Flexibility - Node.js/Mongo/Couch I can read it!!
- 10. HTTP Methods [POST] Create [GET] Read [PUT] Update [Delete] Delete Yes you can read with POST and delete with GET This is not mean you should do it!
- 11. HTTP Status Code [1XX] Info (100,101) [2XX] Success (200,201) [3XX]Redirect (301, 304) [4XX] Client Error (401,404,405) [5XX] Server Error (500,503)
- 12. BASE URL api.opentable.com VS opentable.com/services/restaurants/api/v4/ version should be part of the header request default to the newest Media-Type: application/opentable+json;application&version=4
- 13. Request URL: Should be simple and easy (Human Readable) [GET] /restaurants/123/availability?orderBy=desc&… Body/Payload { restaurantId: 123, availability: { … } }
- 14. Response { code: ‘ok’ status: 200, body: { restaurants: [ { restaurant_id: 123, reviews: [ { review_id: 1, … } ] },.. ] } }
- 15. Paging Facebook: limit/offset Twitter page/rpp(RecordPerPage) Linkedin Start/Count The default is limit/offset
- 18. MicroServices a list of some of our apis Restaurants Cuisines Messages Availability Personalizer …
- 19. The Keys •Keep it Simple Stupid •Keep it small service •Dont care about the language use the right tool for the job •Deliver fast •Find the Entities •Use a platform that lets you deploy fast •REST is a common language (should be human readable) •Good REST API is when people don't need your documentation to guess the endpoint