Charith Perera, Saeed Aghaee, Alan Blackwell, Natural Notation for the Domestic Internet of Things , Proceedings of the 5th International Symposium on End-User Development (IS-EUD), Madrid, Spain, May, 2015,
Ai and inclusion - Challenges and Benefits for those with disabilities. E.A. Draffan
Description of a series of challenges and benefits related to AI and Inclusion for those with disabilities. Discussion around automating web accessibility checks and supporting augmentative and alternative communication symbol searches with better classification using linked data, image recognition and machine learning.
Ai and inclusion - Challenges and Benefits for those with disabilities. E.A. Draffan
Description of a series of challenges and benefits related to AI and Inclusion for those with disabilities. Discussion around automating web accessibility checks and supporting augmentative and alternative communication symbol searches with better classification using linked data, image recognition and machine learning.
Voice input and speech recognition system in tourism/social mediacidroypaes
speech recognition softwares in tourism industry.a computer/mobile analysis of the human voice, especially for the purposes of interpreting words and phrases or identifying an individual voice.
Florian “Flo” Leibert earned a bachelor's degree in computer science and business from International University in Bruchsal, Germany in 2006. While attending university, Florian Leibert worked on many machine learning projects, including speech processing.
Brief introduction into Soft Skills based on a model from Daniel Goleman + review of the most impactful future trends which will require development of soft skills
ITS ALL ABOUT EVOLUTION OF PROGRAMMING LANGUAGE
AND ITS GENERATION ....ADVANTAGES AND DISADVANTAGES OF PROGRAMMING LANG..FROM STARTING TO FUTURE........
speech recognition,History of speech recognition,what is speech recognition,Voice recognition software , Advantages and Disadvantages speech recognition, voice recognition,Voice recognition in operating systems ,Types of speech recognition
SEAMS-2016, 16-17 May, 2016, Austin, Texas, United StatesCharith Perera
Amel Bennaceur, Ciaran McCormick, Jesus Garcia Galan, Charith Perera, Andrew Smith, Andrea Zisman and Bashar Nuseibeh, Feed me, Feed me: An Exemplar for Engineering Adaptive Software, Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Austin, Texas, May, 2016, Pages 89-95 (7)
Charith Perera, Ciaran Mccormick, Arosha Bandara, Blaine A. Price, Bashar Nuseibeh, Privacy-by-Design Framework for Assessing Internet of Things Applications and Platforms, Proceedings of the 6th ACM International Conference on Internet of Things (IoT), Stuttgart, Germany, November, 2016, Pages 83-92
HICSS-2014-Big Island, Hawaii, United States, 08 January 2014Charith Perera
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, and Dimitrios Georgakopoulos, MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices, Proceedings of the 47th Hawaii International Conference on System Sciences (HICSS), Kona, Hawaii, USA, January, 2014
Voice input and speech recognition system in tourism/social mediacidroypaes
speech recognition softwares in tourism industry.a computer/mobile analysis of the human voice, especially for the purposes of interpreting words and phrases or identifying an individual voice.
Florian “Flo” Leibert earned a bachelor's degree in computer science and business from International University in Bruchsal, Germany in 2006. While attending university, Florian Leibert worked on many machine learning projects, including speech processing.
Brief introduction into Soft Skills based on a model from Daniel Goleman + review of the most impactful future trends which will require development of soft skills
ITS ALL ABOUT EVOLUTION OF PROGRAMMING LANGUAGE
AND ITS GENERATION ....ADVANTAGES AND DISADVANTAGES OF PROGRAMMING LANG..FROM STARTING TO FUTURE........
speech recognition,History of speech recognition,what is speech recognition,Voice recognition software , Advantages and Disadvantages speech recognition, voice recognition,Voice recognition in operating systems ,Types of speech recognition
SEAMS-2016, 16-17 May, 2016, Austin, Texas, United StatesCharith Perera
Amel Bennaceur, Ciaran McCormick, Jesus Garcia Galan, Charith Perera, Andrew Smith, Andrea Zisman and Bashar Nuseibeh, Feed me, Feed me: An Exemplar for Engineering Adaptive Software, Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Austin, Texas, May, 2016, Pages 89-95 (7)
Charith Perera, Ciaran Mccormick, Arosha Bandara, Blaine A. Price, Bashar Nuseibeh, Privacy-by-Design Framework for Assessing Internet of Things Applications and Platforms, Proceedings of the 6th ACM International Conference on Internet of Things (IoT), Stuttgart, Germany, November, 2016, Pages 83-92
HICSS-2014-Big Island, Hawaii, United States, 08 January 2014Charith Perera
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, and Dimitrios Georgakopoulos, MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices, Proceedings of the 47th Hawaii International Conference on System Sciences (HICSS), Kona, Hawaii, USA, January, 2014
Charith Perera, Arkady Zaslavsky, Michael Compton, Peter Christen, and Dimitrios Georgakopoulos, Semantic-driven Configuration of Internet of Things Middleware, Proceedings of the 9th International Conference on Semantics, Knowledge & Grids (SKG), Beijing, China, October, 2013
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, Sensor Discovery and Configuration Framework for the Internet of Things Paradigm, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Charith Perera, Arkady Zaslavsky, Peter Christen, Michael Compton, and Dimitrios Georgakopoulos, Context-aware Sensor Search, Selection and Ranking Model for Internet of Things Middleware, Proceedings of the IEEE 14th International Conference on Mobile Data Management (MDM), Milan, Italy, June, 2013
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Capturing Sensor Data from Mobile Phones using Global Sensor Network Middleware, Proceedings of the IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), Sydney, Australia, September, 2012
iThings-2012, Besançon, France, 20 November, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, CA4IOT: Context Awareness for Internet of Things, Proceedings of the IEEE International Conference on Green Computing and Communications, Conference on Internet of Things, and Conference on Cyber, Physical and Social Computing (iThings/CPSCom/GreenCom), Besancon, France, November, 2012
MobiDE’2012, Phoenix, AZ, United States, 20 May, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Connecting Mobile Things to Global Sensor Network Middleware using System-generated Wrappers, Proceedings of the 11th ACM International Workshop on Data Engineering for Wireless and Mobile Access (ACM SIGMOD/PODS-Workshop-MobiDE), Scottsdale, Arizona, USA, May, 2012
Charith Perera and Arkady Zaslavsky, Improve the Sustainability of Internet of Things Through Trading-based Value Creation, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Arkady Zaslavsky, Charith Perera, Dimitrios Georgakopoulos, Sensing as a Service and Big Data, Proceedings of the International Conference on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012, Pages 21-29 (8)
COLLABORATECOM-2013, Austin, Texas, United States, 20 October 2013 Charith Perera
Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos and Arkady Zaslavsky, Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN, Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (COLLABORATECOM), Austin, Texas, United States, October, 2013
Intel - Copaco Cloud Event 2015 (break-out 3 en 4)Copaco Nederland
Deze presentatie gaat over de impact van ‘Internet of Things’ op de toekomstige samenleving. Elk device krijgt een IP-adres en een processor, zodat mens en machine slimmer en sneller met elkaar kunnen communiceren en we altijd verbonden zijn met de Cloud. Welke kansen biedt dit, en welke uitdagingen moeten we nog tackelen?
Sensing as-a-Service - The New Internet of Things (IOT) Business ModelDr. Mazlan Abbas
Here's a chance to create new business models for Internet of Things. There are tons of benefits to gain from IOT and sensors. Its a matter of time when we can harness the creativity of the IOT Application Developers. Create a healthy eco-system so that everyone benefits.
What You Need to Know About Paid Search [Visual Summary]MarketingProfs
How does a marketer get started with paid search? What basics should marketers know?
The following visual summary was taken (in real time) during the MarketingProfs University course, "What You Need to Know About Paid Search."
Big Data and Natural Language ProcessingMichel Bruley
Natural Language Processing (NLP) is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language.
Domain Specific Terminology Extraction (ICICT 2006)IT Industry
Imran Sarwar Bajwa, M. Imran Siddique, M. Abbas Choudhary, [2006], "Automatic Domain Specific Terminology Extraction using a Decision Support System", in IEEE 4th International Conference on Information and Communication Technology (ICICT 2006), Cairo, Egypt. pp:651-659
Conversational AI Agents have become mainstream today due to significant advancements in the methods required to build accurate models, such as machine learning and deep learning, and, secondly, because they are seen as a natural fit in a wide range of domains, such as healthcare, e-commerce, customer service, tourism, and education, that rely heavily on natural language conversations in day-to-day operations. This rapid increase in demand has been matched by an equally rapid rate of research and development, with new products being introduced on a daily basis.
Learn More:https://bit.ly/3tBkT81
Contact Us:
Website: https://www.phdassistance.com/
UK: +44 7537144372
India No:+91-9176966446
Email: info@phdassistance.com
https://www.learntek.org/blog/natural-language-processing-applications/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
Change affects languages! In this talk, I present how change in societies affects languages, how that impacts language technologies (or how language technologies struggle with keeping up with change), what can we do about it, and what can you do to help.
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.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
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/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
IS-EUD-2015, Madrid, Spain, 27 May 2015
1. Natural Notation for the
Domestic Internet of Things
charith.perera@ieee.org , saeed.aghaee@cl.cam.ac.uk , alan.blackwell@cl.cam.ac.uk
IS-EUD, Madrid, June 2015
Charith Perera1, Saeed Aghaee2, Alan Blackwell2
1Research School of Computer Science (RSCS) , The Australian National University,
Canberra, ACT, Australia
1Faculty of Maths, Computing and Technology, The Open University, UK
2Computer Laboratory, University of Cambridge, Cambridge, UK
2.
3. Internet of Things Applications
• Healthcare
• Retail
• Transportation and logistics
• Smart environments
– Office
– City
– Home
4.
5.
6. How do people give instructions in the
home as an existing natural task?
7. Participants
• 63 participants in Canberra, Australia
• good working knowledge of English
• 38 were male (60%) and 25 female (40%)
10. Tasks
Context Problem
Laundry Washing Machine filter is clogged. This
happens roughly every 3 months
Kitchen You have prepared food for your kids and about
to leave your house. You won’t come back until
late. Leftover food can be spoiled if it is not
placed in the fridge.
Bathroom Toilet paper roll is used up. You don’t want to
see this happen again.
Garage It is summer!!!.. Your parents have asked to
bring your weed eater when you visit them
next time. Every summer they need your weed
eater to cut their lawn.
Living Room Some relatives come to visit every few
months... Your house is usually a mess
Garbage Bins You always forget to put garbage bags into
outside bins located in front of your house so
the council will pick them up on Mondays
11. Tasks: Addressee
How would you write a sticky note that will
• (version 1) remind you
• (version 2) remind someone you are living
with
• (version 3) be interpreted by a machine (an
intelligent robot or something that can read
sticky notes)
15. Linguistic Structure
Number of Words
The average number of words in a note addressed to
yourself was significantly less than those addressed to
someone else or to an intelligent machine
16. Linguistic Structure
Sentence Types
Sticky notes addressed to an intelligent machine and
the participants themselves have, respectively, the
least and the most number of imperative sentences
21. Visual Language Coding
Visual Regions
• Most cases divided the note into two distinct regions
• Vertical left-alignment was used to indicate items in a list
• Text arrangement within a region was most often conventionally left- and top-
justified
• 11 cases showed consistent centre-alignment of the individual text lines
Title
Body
22. Visual Language Coding
Visual Symbols
• Alphabetic letters were usually lower case with conventional capitalisation
• After alphabetic letters, the most common symbol was use of an exclamation
mark
• Algebraic symbols were used in 8 cases, often in ways that reflected typical
programming language practice.
• Smiley emoticons were used 6 times
24. Visual Language Coding
Visual Pragmatics
Do people adjust the visual language grammar they use when they are writing a sticky
note addressed to an intelligent machine, rather than another person?
1. H1: that there is an identifiable subset (or ‘dialect’, perhaps) of visual language
features that are more often used when addressing machines rather than people
2. H2: that there is a complementary set of visual language features that are more
often used when addressing people rather than machines
3. H3: that people with prior experience of programming are more likely to use an
identifiable subset of visual language features when addressing machines
26. Implications for Design
Multimodal interface
We have shown that the graphical resources of the sticky
note complement natural language understanding, by
allowing the use of visual language cues that establish the
context for instruction, drawing on a number of
commonplace graphical conventions
27. Implications for Design
Human vs. Machine
The difference in the attitude of end-users towards
the communication target should be taken into
account while designing the user experience for
smart home systems.
28. Implications for Design
Expressive Power
More detailed specification, with syntactic and
semantic forms that resemble programming
language constructs
29. Implications for Design
IF vs. WHEN
While a trigger such as ‘relatives paying a visit’ is
accommodated in emerging event-based mashup paradigms
(e.g. IFTTT), the attention investment required for modal
reasoning about temporal context such as “when” may
involve more sophisticated combinations of natural language
and other notational devices
30. Natural Notation for the
Domestic Internet of Things
1Research School of Computer Science (RSCS) , The Australian National University,
Canberra, ACT, Australia
1Faculty of Maths, Computing and Technology, The Open University, UK
2Computer Laboratory, University of Cambridge, Cambridge, UK
charith.perera@ieee.org , saeed.aghaee@cl.cam.ac.uk , alan.blackwell@cl.cam.ac.uk
IS-EUD, Madrid, June 2015
Charith Perera1, Saeed Aghaee2, Alan Blackwell2