The document discusses the digitization of Vedic Sanskrit, an ancient Indian language. It describes the complex orthography of Vedic Sanskrit involving diacritic marks and conjunct characters. It outlines the IndiX text processing engine that was developed to handle the complexities of Vedic Sanskrit. IndiX designed a 5-tier OpenType font to represent the full range of Vedic Sanskrit characters and implemented extensive substitution and positioning rules. This font allows generation of over 24,000 syllable combinations to preserve the ancient Vedic knowledge digitally.
Best Web Designing Tips for Indian LandscapesNOVIINDUS
Welcome to Designing for Diversity: Unleashing the Potential of Web Design in India. Discover the creative possibilities of web design in the diverse landscape of India.
https://noviindus.com/web-designing-company-india/
Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation Systemijtsrd
Sadhu and Cholit bhasha are two significant Bangladeshi languages. Sadhu was functional in ancient era and had Sanskrit components but in present era cholit took its place. There are many formal and legal paper works present in Sadhu language which direly need to be translated in Cholit because its more favorable and speaker friendly. Therefore, this paper dealt with this issue by familiarizing the current era with Sadhu by creating a software. Different sentences were chosen and final data set was obtained by Principal Component Analysis PCA . MATLAB and Python are used for different machine learning algorithms. Most work is being done using Scikit Learn and MATLAB machine learning toolbox. It was found that Linear Discriminant Analysis LDA functions best. Speed prediction was also done and values were determined through graphs. It was inferred that this categorizer efficiently translated all Sadhu words to Cholit precisely and in well structured way. Therefore, Sadhu will not remain a complex language in this decade. Nakib Aman Turzo | Pritom Sarker | Biplob Kumar "Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30792.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30792/interpretation-of-sadhu-into-cholit-bhasha-by-cataloguing-and-translation-system/nakib-aman-turzo
DEVELOPMENT OF PHONEME DOMINATED DATABASE FOR LIMITED DOMAIN T-T-S IN HINDIijaia
Maximum digital information is available to fewer people who can read or understand a particular
language. The corpus is the basis for developing speech synthesis and recognition systems. In India, almost
all speech research and development affiliations are developing their own speech corpora for Hindi
language, which is the first language for more than 200 million people. The primary goal of this paper is to
review the speech corpus created by various institutes and organizations so that the scientists and language
technologists can recognize the crucial role of corpus development in the field of building ASR and TTS
systems. This aim is to bring together all the information related to the recording, volume and quality of
speech data in speech corpus to facilitate the work of researchers in the field of speech recognition and
synthesis. This paper describes development of medium size database for Metro rail passenger information
systems using HMM based technique in our organization for above application. Phoneme is chosen as
basic speech unit of the database. The result shows that a medium size database consisting of 630
utterances with 12,614 words, 11572 tokens of phonemes covering 38 phonemes are generated in our
database and it cover maximum possible phonetic context.
Automatic text summarization of konkani texts using pre-trained word embeddin...IJECEIAES
Automatic text summarization has gained immense popularity in research. Previously, several methods have been explored for obtaining effective text summarization outcomes. However, most of the work pertains to the most popular languages spoken in the world. Through this paper, we explore the area of extractive automatic text summarization using deep learning approach and apply it to Konkani language, which is a low-resource language as there are limited resources, such as data, tools, speakers and/or experts in Konkani. In the proposed technique, Facebook’s fastText pre-trained word embeddings are used to get a vector representation for sentences. Thereafter, deep multi-layer perceptron technique is employed, as a supervised binary classification task for auto-generating summaries using the feature vectors. Using pre-trained fastText word embeddings eliminated the requirement of a large training set and reduced training time. The system generated summaries were evaluated against the ‘gold-standard’ human generated summaries with recall-oriented understudy for gisting evaluation (ROUGE) toolkit. The results thus obtained showed that performance of the proposed system matched closely to the performance of the human annotators in generating summaries.
A SURVEY OF LANGUAGE-DETECTION, FONTDETECTION AND FONT-CONVERSION SYSTEMS FOR...IJCI JOURNAL
A large amount of data in Indian languages stored digitally is in ASCII-based font formats. ASCII has 128
character-set, therefore it is unable to represent all the characters necessary to deal with the variety of
scripts available worldwide. Moreover, these ASCII-based fonts are not based on a single standard
mapping between the character-codes and the individual characters, for a particular Indian script, unlike
the English language fonts based on the standard ASCII mapping. Therefore, it is required that the fonts for
a particular script must be available on the system to accurately represent the data in that script. Also, the
conversion of data in one font into another is a difficult task. The non-standard ASCII-based fonts also pose
problems in performing search on texts in Indian languages available over web. There are 25 official
languages in India, and the amount of digital text available in ASCII-based fonts is much larger than the
text available in the standard ISCII (Indian Script Code for Information Interchange) or Unicode formats.
This paper discusses the work done in the field of font-detection (to identify the font of the given text) and
font-converters (to convert the ASCII-format text into the corresponding Unicode text).
Addressing the three major challenges in IoT segment- Remote Configuration, Monitoring & Update and how to manage these by UCI approach. The approach is been explained using OpenWRT UCI Project (https://openwrt.org/docs/guide-user/base-system/uci) and NetJson (http://netjson.org/)
Best Web Designing Tips for Indian LandscapesNOVIINDUS
Welcome to Designing for Diversity: Unleashing the Potential of Web Design in India. Discover the creative possibilities of web design in the diverse landscape of India.
https://noviindus.com/web-designing-company-india/
Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation Systemijtsrd
Sadhu and Cholit bhasha are two significant Bangladeshi languages. Sadhu was functional in ancient era and had Sanskrit components but in present era cholit took its place. There are many formal and legal paper works present in Sadhu language which direly need to be translated in Cholit because its more favorable and speaker friendly. Therefore, this paper dealt with this issue by familiarizing the current era with Sadhu by creating a software. Different sentences were chosen and final data set was obtained by Principal Component Analysis PCA . MATLAB and Python are used for different machine learning algorithms. Most work is being done using Scikit Learn and MATLAB machine learning toolbox. It was found that Linear Discriminant Analysis LDA functions best. Speed prediction was also done and values were determined through graphs. It was inferred that this categorizer efficiently translated all Sadhu words to Cholit precisely and in well structured way. Therefore, Sadhu will not remain a complex language in this decade. Nakib Aman Turzo | Pritom Sarker | Biplob Kumar "Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30792.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30792/interpretation-of-sadhu-into-cholit-bhasha-by-cataloguing-and-translation-system/nakib-aman-turzo
DEVELOPMENT OF PHONEME DOMINATED DATABASE FOR LIMITED DOMAIN T-T-S IN HINDIijaia
Maximum digital information is available to fewer people who can read or understand a particular
language. The corpus is the basis for developing speech synthesis and recognition systems. In India, almost
all speech research and development affiliations are developing their own speech corpora for Hindi
language, which is the first language for more than 200 million people. The primary goal of this paper is to
review the speech corpus created by various institutes and organizations so that the scientists and language
technologists can recognize the crucial role of corpus development in the field of building ASR and TTS
systems. This aim is to bring together all the information related to the recording, volume and quality of
speech data in speech corpus to facilitate the work of researchers in the field of speech recognition and
synthesis. This paper describes development of medium size database for Metro rail passenger information
systems using HMM based technique in our organization for above application. Phoneme is chosen as
basic speech unit of the database. The result shows that a medium size database consisting of 630
utterances with 12,614 words, 11572 tokens of phonemes covering 38 phonemes are generated in our
database and it cover maximum possible phonetic context.
Automatic text summarization of konkani texts using pre-trained word embeddin...IJECEIAES
Automatic text summarization has gained immense popularity in research. Previously, several methods have been explored for obtaining effective text summarization outcomes. However, most of the work pertains to the most popular languages spoken in the world. Through this paper, we explore the area of extractive automatic text summarization using deep learning approach and apply it to Konkani language, which is a low-resource language as there are limited resources, such as data, tools, speakers and/or experts in Konkani. In the proposed technique, Facebook’s fastText pre-trained word embeddings are used to get a vector representation for sentences. Thereafter, deep multi-layer perceptron technique is employed, as a supervised binary classification task for auto-generating summaries using the feature vectors. Using pre-trained fastText word embeddings eliminated the requirement of a large training set and reduced training time. The system generated summaries were evaluated against the ‘gold-standard’ human generated summaries with recall-oriented understudy for gisting evaluation (ROUGE) toolkit. The results thus obtained showed that performance of the proposed system matched closely to the performance of the human annotators in generating summaries.
A SURVEY OF LANGUAGE-DETECTION, FONTDETECTION AND FONT-CONVERSION SYSTEMS FOR...IJCI JOURNAL
A large amount of data in Indian languages stored digitally is in ASCII-based font formats. ASCII has 128
character-set, therefore it is unable to represent all the characters necessary to deal with the variety of
scripts available worldwide. Moreover, these ASCII-based fonts are not based on a single standard
mapping between the character-codes and the individual characters, for a particular Indian script, unlike
the English language fonts based on the standard ASCII mapping. Therefore, it is required that the fonts for
a particular script must be available on the system to accurately represent the data in that script. Also, the
conversion of data in one font into another is a difficult task. The non-standard ASCII-based fonts also pose
problems in performing search on texts in Indian languages available over web. There are 25 official
languages in India, and the amount of digital text available in ASCII-based fonts is much larger than the
text available in the standard ISCII (Indian Script Code for Information Interchange) or Unicode formats.
This paper discusses the work done in the field of font-detection (to identify the font of the given text) and
font-converters (to convert the ASCII-format text into the corresponding Unicode text).
Addressing the three major challenges in IoT segment- Remote Configuration, Monitoring & Update and how to manage these by UCI approach. The approach is been explained using OpenWRT UCI Project (https://openwrt.org/docs/guide-user/base-system/uci) and NetJson (http://netjson.org/)
A deep dive into Android OpenSource Project(AOSP)Siji Sunny
A deep dive into Android openSource project presented at
International Centre for Free and Open Source Software (ICFOSS), Kerala's OpenSource Mobile Computing Conference
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
A deep dive into Android OpenSource Project(AOSP)Siji Sunny
A deep dive into Android openSource project presented at
International Centre for Free and Open Source Software (ICFOSS), Kerala's OpenSource Mobile Computing Conference
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP