Run-length encoding (RLE) replaces consecutive repeated characters in data with a single character and count. For example, "aaabbc" would compress to "3a2bc". RLE works best on data with many repetitive characters like spaces. It has limitations for natural language text which contains few repetitions longer than doubles. Variants include digram encoding which compresses common letter pairs, and differencing which encodes differences between successive values like temperatures instead of absolute values.
This presentation is about JPEG compression algorithm. It briefly describes all the underlying steps in JPEG compression like picture preparation, DCT, Quantization, Rendering and Encoding.
Computer Science/ICT - Data Compression
This presentation covers all aspects of data compression you'll need to know such as definition, reasons, types of compression (lossy and lossless) and the types of compression within those sections (JPEG, MPEG, MP3, Run Length and Dictionary Based encoding)
This presentation is about JPEG compression algorithm. It briefly describes all the underlying steps in JPEG compression like picture preparation, DCT, Quantization, Rendering and Encoding.
Computer Science/ICT - Data Compression
This presentation covers all aspects of data compression you'll need to know such as definition, reasons, types of compression (lossy and lossless) and the types of compression within those sections (JPEG, MPEG, MP3, Run Length and Dictionary Based encoding)
Data communication & computer networking: Huffman algorithmDr Rajiv Srivastava
These slides cover the fundamentals of data communication & networking. it covers Huffman algorithm. it is useful for engineering students & also for the candidates who want to master data communication & computer networking.
A general overview of signal encoding
You will learn why to use digital encoding, how signal is transmitted and received and how analog signals are converted to digital
Some digital encoding methods
A presentation prepared by my friend's friend. I have done no editing at all, I'm just uploading the presentation as it is.
Research on character level language modelling using LSTM for semi-supervised learning. The objective is learning inner layer representations of the language model for transfer learning into a classification one.
Generalizing NLP processes using Bi-directional LSTMs to learn character(byte) level embeddings of financial news headlines up too 8 bits ( 2**8 -1) in order to study the relationship between character vectors in financial news headlines in order to transfer learning in to classification models using UTF-8 encoding. Many traditional NLP steps (lemmatize, POS, NER, stemming...) are skipped when diving to byte level making the process more universal in terms of scope then task specific.
Design and Performance Analysis of Convolutional Encoder and Viterbi Decoder ...IJERA Editor
In digital communication forward error correction methods have a great practical importance when channel is
noisy. Convolutional error correction code can correct both type of errors random and burst. Convolution
encoding has been used in digital communication systems including deep space communication and wireless
communication. The error correction capability of convolutional code depends on code rate and constraint
length. The low code rate and high constraint length has more error correction capabilities but that also
introduce large overhead. This paper introduces convolutional encoders for various constraint lengths. By
increasing the constraint length the error correction capability can be increased. The performance and error
correction also depends on the selection of generator polynomial. This paper also introduces a good generator
polynomial which has high performance and error correction capabilities.
National Assessment and Accreditation Council (NAAC)
Criteria 3 Research, Innovations and Extension
Key Indicators (KIs)
Quantitative Metrics - QnM
Standard Operating Procedure (SOP) for Data Validation
An overview about Artificial intelligence and its patterns, different tools, framework,industry examples, demo. The deviation from conventional approach.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2. • If a data item d occurs n consecutive times in the
input stream, replace the n occurrences with the
single pair nd.
• The n consecutive occurrences of a data item are
called a run length of n, and this approach to
data compression is called run-length encoding
or RLE.
Run Length Encoding
3.
4. We have to adopt the convention that only three or
more repetitions of the same character will be
replaced with a repetition factor.
The main problems with this method are the
following:
• In plain English text there are not many repetitions.
• There are many “doubles” but a “triple” is rare.
• The most repetitive character is the space.
• Dashes or asterisks may sometimes also repeat.
• In mathematical texts, digits may repeat.
5. • Example Paragraph
The abbott from Abruzzi accedes to the demands of all
abbesses from Narragansett and Abbevilles from Abyssinia.
He will accommodate them, abbreviate his sabbatical, and
be an accomplished accessory.
• The character “@” may be part of the text in the input
stream, in which case a different escape character must
be chosen.
• Sometimes the input stream may contain every possible
character in the alphabet.
• Example
An example is an object file, the result of compiling a
program. Such a file contains machine instructions and can
be considered a string of bytes that may have any values.
6. • Since the repetition count is written on the output
stream as a byte, it is limited to counts of up to 255.
• This limitation can be softened somewhat when we
realize that the existence of a repetition count means
that there is a repetition (at least three identical
consecutive characters).
• We may adopt the convention that a repeat count of 0
means three repeat characters, which implies that a
repeat count of 255 means a run of 258 identical
characters.
7. • The MNP class 5 method was used for data
compression in old modems.
• It has been developed by Microcom, Inc., a
maker of modems (MNP stands for Microcom
Network Protocol), and it uses a combination
of run-length and adaptive frequency
encoding.
8. Performance
We assume that the string contains M repetitions of
average length L each. Each of the M repetitions is
replaced by 3 characters (escape, count, and data)
Size of the compressed string is N − M × L +M ×3
= N −M(L − 3)
Compression factor = N / N −M(L − 3)
9. Digram Encoding
• A variant of run length encoding for text is digram
encoding.
• This method is suitable for cases where the data
to be compressed consists only of certain
characters, e.g., just letters, digits, and
punctuation.
• Good results can be obtained if the data can be
analyzed beforehand.
• “E”, “T”, “TH”, and “A”, occur often.
10. Pattern Substitution
For compressing computer programs, where certain
words, such as for, repeat, and print, occur often.
Each such word is replaced with a control character
or, if there are many such words, with an escape
character followed by a code character.
Assuming that code “a” is assigned to the word
print, the text “m:print,b,a;” will be compressed to
“m:@a,b,a;”.
11. Relative Encoding [Differencing]
• Successive temperatures normally do not differ
by much, so the sensor needs to send only the
first temperature, followed by differences.
The sequence of temperatures 70, 71, 72.5, 73.1, . .
can be compressed to 70, 1, 1.5, 0.6, . . ..
The differences are small and can be expressed in
fewer bits.
12. The sequence 110, 115, 121, 119, 200, 202, . . .
can be compressed to 110, 5, 6,−2, 200, 2, . . . .
Now need to distinguish between a difference and
an actual value.
The compressor creating an extra bit (a flag) for each
number sent, accumulating those bits, and sending
them to the de compressor from time to time, as part
of the transmission.
Assuming that each difference is sent as a byte, the
compressor should follow (or precede) a group of 8 bytes
with a byte consisting of their 8 flags.
13. Another practical way to send differences mixed with actual
values is to send pairs of bytes. Each pair is either an actual
16-bit measurement (positive or negative) or two 8-bit
signed differences.
Thus actual measurements can be between 0 and ±32K and
differences can be between 0 and ±255.
For each pair, the compressor creates a flag: 0 if the pair is
an actual value, 1 if it is a pair of differences.
After 16 pairs are sent, the compressor sends the 16 flags.
14. • The sequence of measurements 110, 115, 121,
119, 200, 202, . . . is sent as (110), (5, 6), (−2,−1),
(200), (2, . . .), where each pair of parentheses
indicates a pair of bytes.
• The −1 has value 11111111 (binary) , which is
ignored by the de-compressor (it indicates that
there is only one difference in this pair).
15. Reference:-
Data Compression: The Complete Reference, David
Salomon, Springer Science & Business Media, 2004
For any queries contact:
Web: www.iprg.co.in
E-mail: manishti2004@gmail.com
Facebook: @ImageProcessingResearchGroup