engineering

Medical intelligence and language engineering lab

Medical intelligence and language engineering lab is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Medical intelligence and language engineering lab rather than just read about it. In short: The Medical Intelligence and Language Engineering Laboratory, also known as the MILE lab, is a research laboratory at the Indian Institute of Science, Bangalore under the Department of Electrical Engineering. The lab is known for its work on Image processing, online handwriting recognition, Text-To-Speech and Optical character recognition systems, all of which are focused mainly on documents and speech in Indian lan…

Key takeaways

Medical intelligence and language engineering lab belongs to engineering; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Medical intelligence and language engineering lab to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Medical intelligence and language engineering lab from memory before moving on to harder problems.

Reference excerpt

The Medical Intelligence and Language Engineering Laboratory, also known as the MILE lab, is a research laboratory at the Indian Institute of Science, Bangalore under the Department of Electrical Engineering. The lab is known for its work on Image processing, online handwriting recognition, Text-To-Speech and Optical character recognition systems, all of which are focused mainly on documents and speech in Indian languages. The lab is headed by A. G. Ramakrishnan.

Research focus One of the commitments of the MILE lab is the development of technology for people with visual impairment to harness knowledge from any available printed material in Indian languages. The lab is working towards reaching this goal. Its work so far has included: document mosaicing of coloured, camera captured images ; text extraction from complex colour images, including camera captured images; document layout analysis; detection of broken and merged characters; OCR technology for Tamil and Kannada; text to speech conversion in Tamil and Kannada; pitch modification using discrete cosine transform in the source domain; automated part of speech tagging; phrase prediction and prosody modeling. Mozhi Vallan, the Tamil OCR product developed by MILE Lab, is being used by Worth Trust and Karna Vidya Technology Centre, Chennai for the conversion of printed school and college books to Braille format. Sri Ramakrishna Math, Chennai is using it to convert their printed philosophical books in Tamil to computer readable text. Lipi Gnani, the Kannada OCR developed by MILE Lab is being used by Braille Transcription Centers of Mitrajyothi and Canara Bank Relief & Welfare Society, Bangalore for similar purposes. Also, Thirukkural, the Tamil TTS system developed by MILE Lab is being used by some school teachers in Singapore for assignments. Madhura, the Kannada TTS developed by the lab, is being used by two blind students, integrated with a screen reader, to read aloud text OCR'ed with Lipi Gnani from Kannada books. Currently, the lab is researching on machine listening and a novel temporal feature named as plosion index has been proposed, which has been shown to be extremely effective in detecting closure-burst transitions of stop consonants and affricates from continuous speech, even in noise. Another feature proposed is DCTILPR, which is a voice source based feature vector that improves the recognition performance of a speaker identification system. In the early days, significant work was carried out in medical signal and image processing. A unique algorithm was proposed for ECG compression by treating each cardiac cycle as a vector, and applying linear prediction on the discrete wavelet transform of this vector, after normalizing its period using multirate processing based interpolation. The maturity of the fetal lung was predicted using image texture features obtained from the liver and lung regions of the ultrasound images obtained from pregnant women An effective technique was proposed for lossless compression of 3D magnetic resonance images of the brain. Each MRI slice was represented by uniform or adaptive mesh; affine transformation was applied between the corresponding mesh elements of adjacent slices and context-based entropy coding, on the residues.

References

External links Department of Electrical Engineering, IISc Medical Intelligence and Language Engineering laboratory A. G. Ramakrishnan Worth Digitization

Worked examples

Example 1 — a first encounter with Medical intelligence and language engineering lab

Start with the simplest possible case. Write down what Medical intelligence and language engineering lab claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Medical intelligence and language engineering lab before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Medical intelligence and language engineering lab ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Medical intelligence and language engineering lab

In research: Medical intelligence and language engineering lab appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Medical intelligence and language engineering lab in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Medical intelligence and language engineering lab is common in secondary-school and first-year university syllabi. It links to neighbouring topics Electrical engineering organizations, Indian Institute of Science, Research in India, so understanding it makes those chapters shorter.
In everyday life: Look for Medical intelligence and language engineering lab outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Medical intelligence and language engineering lab in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Medical intelligence and language engineering lab means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Medical intelligence and language engineering lab out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Medical intelligence and language engineering lab in simple terms?

Why does Medical intelligence and language engineering lab matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Medical intelligence and language engineering lab?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Medical intelligence and language engineering lab.