The Panther Project is the best example of successful Teamwork!
Together, HAIMER and OPEN MIND demonstrate how complex milling operations can be mastered in a powerful and dynamic way! The panther, which is about 500mm in length, was machined from an aluminum block in just under 13 hours.
Machine: DMG MORI HSC70 linear
Tools + Holder: Haimer
More about hyperMILL: https://www.openmind-tech.com/
More about HAIMER: https://www.haimer.de/
More about this project: https://www.openmind-tech.com/en/about-us/milling-the-panther.html
The aluminum violin project has been a very special endeavour. Not only is the violin a masterpiece, but so is the design and manufacturing strategies, equipment and expertise truly masterful. To live up to our claim “we push machining to the limit”, we re-designed the wooden body in aluminum and stayed true to the original avant-garde design. The result is a 100% playable violin with a unique sound. The artist Max Grosch describes the sound of the violin as bright with light and clear response as well as a slightly cooler touch than the original.
In university and colleges, software engineering can be a large part of the learning process. Today, we take a look at just why so much emphasis is placed on software engineering in schools, and what are some of the key learning points in it.
Software engineering is all about writing code in a structured and formal way, with the end goal of achieving greater readability and maintainability of code. To do this, the lifecycle of a project is usually divided as follows:
1) Requirements Gathering
In this video, we’ll take a look at each of these phases, and identify some techniques and best practices associated with executing them.
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Data flow testing in software testing and software engineering explained with detailed data flow testing example. This data flow testing in software testing with example tutorial covers what is data flow testing, data flow testing strategies in software testing and data flow testing techniques, Define Use Testing and Program Slices, data flow testing vs control flow testing, data flow testing white box with source code and Control Flow Graph (CFG), data flow testing metrics, Define node or Defining node DEF node, Use node or Usage node, P-use, C-use, O-use, L-use, I-use, anomalies examples and the steps that data flow testing can involve. Data flow testing in software engineering and software testing is a white box testing technique. Data flow testing in software testing methodologies is complementary to other software testing methodologies like requirements based testing. My data flow testing example is based on my pseudo code. View PATH TESTING in Software Testing with Example | Triangle Problem | BASIS Path Testing basic concepts: https://youtu.be/t-C3Bt7f1M8
2:04 – Data Flow testing example
7:20 – Define Use testing
13:22 – Test Coverage in Define Use testing
15:09 – Program Slices
20:41 – Complete Data Flow testing example in detail
सॉफ्टवेयर परीक्षण और सॉफ्टवेयर इंजीनियरिंग में डेटा फ्लो टेस्टिंग उदाहरण के साथ समझाया गया है। यह डेटा फ्लो टेस्टिंग ट्यूटोरियल कवर करता है सॉफ्टवेयर टेस्टिंग और डेटा फ्लो टेस्टिंग तकनीकों में डेटा फ्लो टेस्टिंग स्ट्रैटेजी, डिफाइन यूज़ टेस्टिंग और प्रोग्राम स्लाइस, डेटा फ्लो टेस्टिंग बनाम कंट्रोल फ्लो टेस्टिंग, डेटा फ्लो टेस्टिंग व्हाइट बॉक्स और कंट्रोल फ्लो ग्राफ, डेटा फ्लो टेस्टिंग मेट्रिक्स, डिफाइन नोड, यूज़ नोड, पी-यूज़, सी-यूज़, ओ-यूज़, एल-यूज़, आई-यूज़, आदि, विसंगतियों के उदाहरण और डेटा फ्लो टेस्टिंग चरण। सॉफ्टवेयर इंजीनियरिंग और सॉफ्टवेयर परीक्षण में डेटा फ्लो टेस्टिंग एक सफेद बॉक्स परीक्षण तकनीक है।
Software engineering as it’s taught in universities simply doesn’t work. It doesn’t produce software systems of high quality, and it doesn’t produce them for low cost. Sometimes, even when practiced rigorously, it doesn’t produce systems at all.
That’s odd, because in every other field, the term “engineering” is reserved for methods that work.
What then, does real software engineering look like? How can we consistently deliver high-quality systems to our customers and employers in a timely fashion and for a reasonable cost? In this session, we’ll discuss where software engineering went wrong, and build the case that disciplined Agile methods, far from being “anti-engineering” (as they are often described), actually represent the best of engineering principles applied to the task of software development.
Ziad is a seasoned software developer who loves mentoring and teaching. Currently working as an independent contractor, he previously co-founded and taught full-stack web development at DecodeMTL, Montreal’s first web development bootcamp.
Learn More about the SQL Nanodegree program: https://www.udacity.com/course/learn-sql–nd072
In the SQL Nanodegree program, you will perform analysis on data stored in relational and non-relational database systems to power strategic decision-making. Learn to determine, create, and execute SQL and NoSQL queries that manipulate and dissect large scale datasets. Begin by leveraging the power of SQL commands, functions, and data cleaning methodologies to join, aggregate, and clean tables, as well as complete performance tune analysis to provide strategic business recommendations. Finally, apply relational database management techniques to normalize data schemas in order to build the supporting data structures for a social news aggregator.
Land a job at a big firm like Google, Facebook, Twitter or even the less well known but equally exciting big retail organisations or Government with Devscover tutorials and tips – https://www.devscover.com
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The d&b NoizCalc software uses international standards to model the far field noise immission from one or more d&b loudspeaker systems. NoizCalc takes data from the ArrayCalc simulation software and calculates snapshots showing the sound propagation and relative attenuation values towards the far field for a certain scenario with particular meteorological conditions. With these tools, the optimal sonic experience is delivered reliably and faithfully to the right ears, and not the wrong ones.
The results are displayed on a 3D terrain map showing the calculated immission on the areas surrounding the audience listening zones. This visual representation shows the actual system performance in the far field, enabling users to optimize for listeners while satisfying local noise restrictions and offsite regulations. To ensure the results are reliable, NoizCalc includes all complex data concerning the addition and subtraction of sound waves, including phase information to describe the combination and interaction effects within a loudspeaker system consisting of multiple line arrays, subwoofer arrays and delay systems.
NoizCalc models immissions in the far field according to the internationally accepted ISO 9613-2 and Nord2000 calculation standards. Ground characteristics can be set depending on the absorbency or reflectivity of surfaces, while areas with volume attenuating properties can be defined. Buildings can be included, and the maximum reflection order option adjusts how many reflections are calculated. Parameters for humidity, air pressure and temperature ensure that the correct air absorption figures are accounted. The ISO 9613-2 standard requires limited meteorological information and assumes a worst case scenario. The more sophisticated propagation model, Nord2000 enables a more precise handling of meteorological conditions allowing the user to model with prevailing wind information. d&b NoizCalc was developed in collaboration with SoundPLAN, a specialist software developer for environmental noise prediction.