This document summarizes the research topics and laboratories of the School of Computer Science at FDU, led by Professor Xiangyang Xue. The school's research includes natural language processing, multimodal dialogue, image classification, and cross-media search. Key laboratories study intelligent media computing, databases, software engineering, and information security. Application areas mentioned include interactive TV, education/gaming robots, and assistant technologies for future smart homes.
The presentation was delivered by FORTH at the 3rd International Workshop on the role of Semantic Web in Provenance Management 2012 (SWPM2012) in Heraklion, Greece on 28th of May 2012.
Abstract:
Workflow systems can produce very large amounts of provenance information. In this paper we introduce provenance-based inference rules as a means to reduce the amount of provenance information that has to be stored, and to ease quality control (e.g., corrections). We motivate this kind of (provenance) inference and identify a number of basic inference rules over a conceptual model appropriate for representing provenance. The proposed inference rules concern the interplay between (i) actors and carried out activities, (ii) activities and devices that were used for such activities, and, (iii) the presence of information objects and physical things at events. However, since a knowledge base is not static but it changes over time for various reasons, we also study how we can satisfy change requests while supporting and respecting the aforementioned inference rules. Towards this end, we elaborate on the specification of the required change operations.
Efficient implementations of machine vision algorithms using a dynamically ty...Jan Wedekind
Current machine vision systems (or at least their performance critical parts) are predominantly implemented using statically typed programming languages such as C, C++, or Java. Statically typed languages however are unsuitable for development and maintenance of large scale systems. When choosing a programming language, dynamically typed languages are usually not considered due to their lack of support for high-performance array operations. This thesis presents efficient implementations of machine vision algorithms with the (dynamically typed) Ruby programming language. The Ruby programming language was used, because it has the best support for meta-programming among the currently popular programming languages. Although the Ruby programming language was used, the approach presented in this thesis could be applied to any programming language which has equal or stronger support for meta-programming (e.g. Racket (former PLT Scheme)). A Ruby library for performing I/O and array operations was developed as part of this thesis. It is demonstrated how the library facilitates concise implementations of machine vision algorithms commonly used in industrial automation. I.e. this thesis is about a different way of implementing machine vision systems. The work could be applied to prototype and in some cases implement machine vision systems in industrial automation and robotics. The development of real-time machine vision software is facilitated as follows 1. A JIT compiler is used to achieve real-time performance. It is demonstrated that the Ruby syntax is sufficient to integrate the JIT compiler transparently. 2. Various I/O devices are integrated for seamless acquisition, display, and storage of video and audio data. In combination these two developments preserve the expressiveness of the Ruby programming language while providing good run-time performance of the resulting implementation. To validate this approach, the performance of different operations is compared with the performance of equivalent C/C++ programs.
Provenance models are crucial for describing experimental results in science. The W3C Provenance Working Group has recently released the PROV family of specifications for provenance on the Web. While provenance focuses on what is executed, it is important in science to publish the general methods that describe scientific processes at a more abstract and general level. In this paper, we propose P-PLAN, an extension of PROV to represent plans that guid-ed the execution and their correspondence to provenance records that describe the execution itself. We motivate and discuss the use of P-PLAN and PROV to publish scientific workflows as Linked Data.
The presentation was delivered by FORTH at the 3rd International Workshop on the role of Semantic Web in Provenance Management 2012 (SWPM2012) in Heraklion, Greece on 28th of May 2012.
Abstract:
Workflow systems can produce very large amounts of provenance information. In this paper we introduce provenance-based inference rules as a means to reduce the amount of provenance information that has to be stored, and to ease quality control (e.g., corrections). We motivate this kind of (provenance) inference and identify a number of basic inference rules over a conceptual model appropriate for representing provenance. The proposed inference rules concern the interplay between (i) actors and carried out activities, (ii) activities and devices that were used for such activities, and, (iii) the presence of information objects and physical things at events. However, since a knowledge base is not static but it changes over time for various reasons, we also study how we can satisfy change requests while supporting and respecting the aforementioned inference rules. Towards this end, we elaborate on the specification of the required change operations.
Efficient implementations of machine vision algorithms using a dynamically ty...Jan Wedekind
Current machine vision systems (or at least their performance critical parts) are predominantly implemented using statically typed programming languages such as C, C++, or Java. Statically typed languages however are unsuitable for development and maintenance of large scale systems. When choosing a programming language, dynamically typed languages are usually not considered due to their lack of support for high-performance array operations. This thesis presents efficient implementations of machine vision algorithms with the (dynamically typed) Ruby programming language. The Ruby programming language was used, because it has the best support for meta-programming among the currently popular programming languages. Although the Ruby programming language was used, the approach presented in this thesis could be applied to any programming language which has equal or stronger support for meta-programming (e.g. Racket (former PLT Scheme)). A Ruby library for performing I/O and array operations was developed as part of this thesis. It is demonstrated how the library facilitates concise implementations of machine vision algorithms commonly used in industrial automation. I.e. this thesis is about a different way of implementing machine vision systems. The work could be applied to prototype and in some cases implement machine vision systems in industrial automation and robotics. The development of real-time machine vision software is facilitated as follows 1. A JIT compiler is used to achieve real-time performance. It is demonstrated that the Ruby syntax is sufficient to integrate the JIT compiler transparently. 2. Various I/O devices are integrated for seamless acquisition, display, and storage of video and audio data. In combination these two developments preserve the expressiveness of the Ruby programming language while providing good run-time performance of the resulting implementation. To validate this approach, the performance of different operations is compared with the performance of equivalent C/C++ programs.
Provenance models are crucial for describing experimental results in science. The W3C Provenance Working Group has recently released the PROV family of specifications for provenance on the Web. While provenance focuses on what is executed, it is important in science to publish the general methods that describe scientific processes at a more abstract and general level. In this paper, we propose P-PLAN, an extension of PROV to represent plans that guid-ed the execution and their correspondence to provenance records that describe the execution itself. We motivate and discuss the use of P-PLAN and PROV to publish scientific workflows as Linked Data.
These are the slides for a plenary talk I gave at GEC 11 in Denver in July 2011. The primary message is that we, the networking community need to fundamentally improve the way we do experimental research.
Discovery and Open Data: slides from #discopen session at JISC cross programme meeting in April 2012. Author: Amber Thomas, JISC. Discusses the data space around discovery issues in education and research, with a focus on open data. CC BY. Please see slide 2 for permissions.
CambridgeIP Fact-based Strategy Development: Accelerating your out-licensingCambridgeIP Ltd
Quentin Tannock (Chairman, CambridgeIP) presented at BIO 2010 in Chicago on the topic 'Fact-based strategy development: Accelerating your out-licensing'. The presentation includes our thoughts on the key directions of innovation in the inhaler device space, together with examples of our work in auto-injectors and other spaces.
Paper ref:
Missier, Paolo, Bertram Ludascher, Saumen Dey, M Wang, Timothy McPhillips, Shawn Bowers, and Michael Agun. âGoldenTrail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository.â In Procs. 7th International Digital Curation Conference (IDCC), 2011.
Invited Talk on "Semantic Model-driven Engineering" at the Microsoft Research Software Summit 2011, Paris, France, April 13-15, 2011; View video at http://research.microsoft.com/apps/video/default.aspx?id=150058
Accelrys Announces Experiment Knowledge Base (EKB) for Enterprise Lab ManagementBIOVIA
Today’s complex lab environments inhibit innovation productivity, slowing time-to-market and increasing costs. Improve lab efficiency, knowledge capture and reuse with a solution that quickly transforms scientific data into knowledge. For Chemicals, Manufacturing and Materials companies.
The digital universe is booming, especially metadata and user-generated data. This raises strong challenges in order to identify the relevant portions of data which are relevant for a particular problem and to deal with the lifecycle of data. Finer grain problems include data evolution and the potential impact of change in the applications relying on the data, causing decay. The management of scientific data is especially sensitive to this. We present the Research Objects concept as the means to indentify and structure relevant data in scientific domains, addressing data as first-class citizens. We also identify and formally represent the main reasons for decay in this domain and propose methods and tools for their diagnosis and repair, based on provenance information. Finally, we discuss on the application of these concepts to the broader domain of the Web of Data: Data with a Purpose.
Slides for a keynote presentation to the EGI Technical Forum, 15th September 2010, Amsterdam on the construction challenges facing the LifeWatch research infrastructure.
Jubatus: Realtime deep analytics for BIgData@Rakuten Technology Conference 2012Preferred Networks
Currently, we face new challenges in realtime analytics of BigData, such as social monitoring, M2M sensor, online advertising optimization, smart energy management and security monitoring. To analyze these data, scalable machine learning technologies are essential. Jubatus is the open source platform for online distributed machine learning on the data streams of BigData. we explain the inside technologies of Jubatus and show how jubatus can achieve realtime analytics in various problems.
These are the slides for a plenary talk I gave at GEC 11 in Denver in July 2011. The primary message is that we, the networking community need to fundamentally improve the way we do experimental research.
Discovery and Open Data: slides from #discopen session at JISC cross programme meeting in April 2012. Author: Amber Thomas, JISC. Discusses the data space around discovery issues in education and research, with a focus on open data. CC BY. Please see slide 2 for permissions.
CambridgeIP Fact-based Strategy Development: Accelerating your out-licensingCambridgeIP Ltd
Quentin Tannock (Chairman, CambridgeIP) presented at BIO 2010 in Chicago on the topic 'Fact-based strategy development: Accelerating your out-licensing'. The presentation includes our thoughts on the key directions of innovation in the inhaler device space, together with examples of our work in auto-injectors and other spaces.
Paper ref:
Missier, Paolo, Bertram Ludascher, Saumen Dey, M Wang, Timothy McPhillips, Shawn Bowers, and Michael Agun. âGoldenTrail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository.â In Procs. 7th International Digital Curation Conference (IDCC), 2011.
Invited Talk on "Semantic Model-driven Engineering" at the Microsoft Research Software Summit 2011, Paris, France, April 13-15, 2011; View video at http://research.microsoft.com/apps/video/default.aspx?id=150058
Accelrys Announces Experiment Knowledge Base (EKB) for Enterprise Lab ManagementBIOVIA
Today’s complex lab environments inhibit innovation productivity, slowing time-to-market and increasing costs. Improve lab efficiency, knowledge capture and reuse with a solution that quickly transforms scientific data into knowledge. For Chemicals, Manufacturing and Materials companies.
The digital universe is booming, especially metadata and user-generated data. This raises strong challenges in order to identify the relevant portions of data which are relevant for a particular problem and to deal with the lifecycle of data. Finer grain problems include data evolution and the potential impact of change in the applications relying on the data, causing decay. The management of scientific data is especially sensitive to this. We present the Research Objects concept as the means to indentify and structure relevant data in scientific domains, addressing data as first-class citizens. We also identify and formally represent the main reasons for decay in this domain and propose methods and tools for their diagnosis and repair, based on provenance information. Finally, we discuss on the application of these concepts to the broader domain of the Web of Data: Data with a Purpose.
Slides for a keynote presentation to the EGI Technical Forum, 15th September 2010, Amsterdam on the construction challenges facing the LifeWatch research infrastructure.
Jubatus: Realtime deep analytics for BIgData@Rakuten Technology Conference 2012Preferred Networks
Currently, we face new challenges in realtime analytics of BigData, such as social monitoring, M2M sensor, online advertising optimization, smart energy management and security monitoring. To analyze these data, scalable machine learning technologies are essential. Jubatus is the open source platform for online distributed machine learning on the data streams of BigData. we explain the inside technologies of Jubatus and show how jubatus can achieve realtime analytics in various problems.
The LEGO Maturity & Capability Model ApproachLuigi Buglione
“Maturity model” (MM) (based on Crosby’s original idea) has been one of the main buzzwords over the past 20 years. A variety of MMs have been created in several application domains, from Software Engineering to Contract Management. Despite several models intending to cover the same domain, their PRMs (Process Reference Models) typically have different scopes, do not always cover the same set of processes, or have different levels of depth, or do not express the same level of granularity when describing concepts. Thus some important questions from the MM users’ viewpoint arise: how to choose the right models for our needs? After selecting those models, how to build a new, tailored MM based on several sources and customized to a specific domain? This paper motivates these important questions and proposes a way to choose, combine and adapt the contents from multiple MMs within a generic-domain approach we call ‘LEGO’ (Living EnGineering prOcess), based upon the well-known kids’ toy that stimulates creativity through combining different bricks. We present three case studies, one of them based upon the development of the Medi SPICE model, illustrating how the proposed approach may be used to develop MCM (Maturity & Capabilty Models) in this context.
Heather Blanchard, Co Founder of CrisisCommons, presents the need for Connecting Data to Operations - The Importance of Data Preparedness, Alternative Resource Support and Surge Capacity. This presentation is based on her testimony to Congress which can be found here: http://crisiscommons.org/2011/07/07/congress_qfr/
NLP on Hadoop: A Distributed Framework for NLP-Based Keyword and Keyphrase Ex...Paolo Nesi
Abstract—The recent growth of the World Wide Web at increasing rate and speed and the number of online available resources populating Internet represent a massive source of knowledge for various research and business interests. Such knowledge is, for the most part, embedded in the textual content of web pages and documents, which is largely represented as unstructured natural language formats. In order to automatically ingest and process such huge amounts of data, single-machine, non-distributed architectures are proving to be inefficient for tasks like Big Data mining and intensive text processing and analysis. Current Natural Language Processing (NLP) systems are growing in complexity, and computational power needs have been significantly increased, requiring solutions such as distributed frameworks and parallel computing programming paradigms. This paper presents a distributed framework for executing NLP related tasks in a parallel environment. This has been achieved by integrating the APIs of the widespread GATE open source NLP platform in a multi-node cluster, built upon the open source Apache Hadoop file system. The proposed framework has been evaluated against a real corpus of web pages and documents.
Hvordan sælger man kreativitet uden for vores egne cirkler?Seismonaut
Direktør Anna Porse Nielsens oplæg for DMJX den 2. oktober 2017 om, hvordan man formidler værdien af kreativitet til dem, som ikke nødvendigvis jubler over den.
Christian Erfurt holdt oplæg om growth hacking hos Be My Eyes til Headstart Morgenseminar d. 20. april 2017.
Christian Erfurt er CEO hos Be My Eyes - en app, der hjælper blinde ved at sætte dem i forbindelse med seende, der via appen kan hjælpe med hverdagens store og små udfordringer.
Claus Hovge Andersen talte om growth hacking i NORDJYSKE medier til Headstarts morgenseminar d. 20. april 2017.
Claus Hovge Andersen har arbejdet med digitale medier de sidste 18 år, og har blandt andet arbejdet med ecommerce, mobil teknologi og de sidste ti år med digitale forretningsmodeller hos blandt andet Bilbasen.dk, dba.dk, eBay Classifieds. De seneste 6 år har Claus Hovge Andersen arbejdet med digital transformation i mediebranchen, herunder tidligere Jyllands-Posten og nu i NORDJYSKE Medier. Og udover dette har Claus Hovge Andersen siddet i bestyrelsen for flere digitale virksomheder som jobzonen.dk, bilzonen.dk og Watch Medier. Er p.t. aktiv i bestyrelser for flere internetvirksomheder.
Serieiværksætter Thomas Madsen-Mygdal fortalte om vækst til Headstarts morgenseminar d. 20. april 2017.
Thomas Madsen-Mygdal er en dansk designer og iværksætter med en lang og imponerende historik. Thomas var frontløber for internettet, hvor han som medstifter af den første kommercielle danske internetvirksomhed, Mondo, var med til at bringe internettet til Danmark. Senere var Thomas med til at lave virksomheden Podio, som forandrede måden folk arbejder på.
I dag står Thomas i spidsen for TwentyThree, som arbejder med at ændre måden virksomheder kommunikerer via video. Thomas er ligeledes igangsætter og bestyrelsesformand for startup organisationen #CPHFTW. Derudover har han også modtaget IT-Branchens og FDIHs ærespriser.
Headstart Morgenseminar: Working as a NetworkSeismonaut
Thomas Asger Hansen, Head of Global Working Culture hos Grundfos, har de sidste 5 år har han arbejdet med at implementere konceptet "digital workplace". I dette oplæg til Headstart Networks morgenseminar om "Netværk i organisationer" fortæller han hvordan en global virksomhed skaber bedre rammer for at arbejde sammen på tværs af afdelinger og tidszoner gennem en intern netværksplatform.
Sælg en oplevelse - om markedsføring af NorthSide på sociale medierSeismonaut
Anne Jensen fra NorthSide fortalte om hvordan de bruger sociale medier som en central del af deres salgsstrategi, og hvor de forsøger at være relevante året rundt - på trods af at de er en festival, der kun sker en gang om året.
Headstart Network morgenseminar 13/9 2016: Hvad er tillid?Seismonaut
I den digitale tidsalder er anmeldelser, reviews, likes og kommentarer med til at skabe en ny form for økonomi, hvor tillid er den valuta vi sparer op, rejser rundt på nettet med og betaler for vores ydelser med. Har man kun dårlige anmeldelser med i bagagen, er der ingen der vil handle, men har folk udtalt sig rosende om en, er det nemt at bruge nettets mange sociale platforme.
Den transparente virkelighed, som alle uundgåeligt er en del af, skaber nye konsekvenser for både virksomheder og individer. Og det handler ikke bare om deleøkonomi - nej, tænk meget større - det er på mange måder den digitale fremtid for os alle, der er i spil.
Men tillid som fænomen er ikke nyt. Så hvad er tillid egentlig? Hvilken betydning har det for vores samfund og økonomi? Og er tilliden i samfundet i forfald eller på vej op? Disse spørgsmål svarede Christian Bjørnskov, professor i økonomi ved Aarhus Universitet, på til Headstarts morgenseminar.
Veronika Janeckova & Nelson Sachse, Made by many - Headstart d. 2. juni 2015Seismonaut
Made by Many has offices in both London and New York, and they will let us in on their way of working in the intersection between business strategy, product design and user insights with global customers like Skype and Universal to ensure the best end result.
Kasper Wodstrup Rost, Delta Projects - Headstart d. 2. juni 2015Seismonaut
The advertising business is changing vastly at the moment as programmatic advertisement is increasingly on companies radar. Kasper will enlightens us about this new trend, and what the advantage there are to combine creativity and advertisement with real time data.
We all know that the world is changing quicker than ever before, and that businesses are always looking for new ways to create advantages for themselves. Cerys will explore the market dynamics that are combining to create a volatile, uncertain, complex and ambiguous operating environment for businesses and the new types of organisational risk that these are creating. Then, looking at some of the most innovative businesses in the world, highlight some of the new business models, organisational structures and ways of working that are coming together to help transform companies for the 21st century.
Creative Executive Club - Johanne Bruun Sørensen, Hello MondaySeismonaut
Johanne Bruun Sørensen fra Hello Monday holdte et inspirerende oplæg på Creative Executive Clubs morgenseminar i Aarhus onsdag d. 15. april 2015.
Creative Executive Club morgenseminarer byder på internationale og nationale eksperter, meningsdannere og kreative topledere med viden om vækst, internationalisering og fremtidens ledelses- og organisationsformer i de kreative industrier.
Creative Executive Clubs mål er at sætte barren endnu højere i de kreative brancher. Vi skal udvikle stærke forretningsområder og -modeller særligt for de kreative erhverv. Og vi skal gøre det ved at videndele og skabe synergier på tværs af brancher.
Creative Executive Club er et samarbejde mellem Erhverv Aarhus og More.Creative.
Creative Executive Club - Stephen Burrell, Kopenhagen FurSeismonaut
Stephen Burrell fra Kopenhagen Fur holdte et inspirerende oplæg på Creative Executive Clubs morgenseminar onsdag d. 15. april 2015.
Creative Executive Club morgenseminarer byder på internationale og nationale eksperter, meningsdannere og kreative topledere med viden om vækst, internationalisering og fremtidens ledelses- og organisationsformer i de kreative industrier.
Creative Executive Clubs mål er at sætte barren endnu højere i de kreative brancher. Vi skal udvikle stærke forretningsområder og -modeller særligt for de kreative erhverv. Og vi skal gøre det ved at videndele og skabe synergier på tværs af brancher.
Creative Executive Club er et samarbejde mellem Erhverv Aarhus og More.Creative.
Digitalisering handler om mennesker - ikke mindst i den offentlige sektor, hvor digitaliseringsstrategier hos både kommuner og stat rulles ud i disse år. Sociale medier er med til at understøtte digitaliseringen på en borgernær måde.
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.
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/
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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…
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
1. Research of Intelligent Media Computing
and its Application
Dr. Xiangyang XUE
Professor & Vice Dean, School of
Computer Science
2. Outline
Introduction of School of Computer Science
Research Topics in our Laboratory
RT1 Natural Language Processing
RT2 Multimodal Dialog
RT3 Image Classification
RT4 Cross-Media Search
Assistant Living Technologies in Future Home
APP1 IPTV ~ video search engine
APP2 Robot ~ multimodal dialog
2009-5-21 2 FDU - Xiangyang XUE
3. School – Staff Members & Students
Staff Members
Totally 160 staff members
19 full professors
39 associate professors Students(full time)
Undergraduates: 1100
Master students: 400
PhD Students: 170
2009-5-21 3 FDU - Xiangyang XUE
4. School – Research Areas
OS: virtualization
Multimedia
Software Engineering
Computer vision
Database
Machine Learning
Compiler
NLP & IR
CSCW
Theory: Complexity, Cryptography & Algorithms
2009-5-21 4 FDU - Xiangyang XUE
5. School – Research Labs
Shanghai Key Laboratory for
Intelligent Information Processing
Laboratory of Intelligent Media Computing
Laboratory of Database Technology
Laboratory of System Software and Software
Engineering
Laboratory of Information Security
Laboratory of Embedded System
2009-5-21 5 FDU - Xiangyang XUE
6. People in our Laboratory
Dr Xipeng QIU
Lab of
Dr Xuanjing
HUANG
Intelligent
Media Computing
Text
Dr Yuefei GUO Dr Yaqian ZHOU Dr Cheng JIN
Image
Machine
Dr Yuejie ZHANG Video
Learning
Dr Mingmin
CHI
Dr Xiangyang XUE
Dr Hong LU
Dr Wei Zhang
Audio
PhD Students:12
Master Students:40
2009-5-21 Dr Wei LI 6 FDU - Xiangyang XUE
7. Projects & Publications in our Laboratory
Projects
Natural Science Foundation of China
Ministry of Science and Technology
Science and Technology Commission of Shanghai
Municipality
Industries
Publications
Journals: IEEE TMM, TKDE, TCAS-VT, TIP; Pattern
Recognition, Neural Networks, Information Processing and
Management etc
Conferences: ACM MM, ICCV, ICML, IJCAI ,ACL, etc
2009-5-21 7 FDU - Xiangyang XUE
8. RT1 Natural Language Processing
Current Works
Word Syntax Discourse
Question answering
Open domain
POS Tag
Named Entity
Recognition Trec 2008, Top 2
Chinese word Sentiment analysis
Chunking Coreference
segment
Product review
Discourse
Parsing
Segment Trec Blog, Top 5
Text
summarization
Fundamental researches in NLP
Information Extraction
2009-5-21 8 FDU - Xiangyang XUE
9. RT2 Multimodal Dialogue System
Application:Robot
Knowledge
Knowledge Knowledge Device
Knowledge Device API
Sources
Sources Manager Manager
Sources
Dialogue
Dialogue Activity
Manager
Move Tree Tree Device
Devices
Device
s
s
Dialogue
Move
Engine
Multimodal Response
Fusion Generator
NLU Gesture NLG Animation
ASR TTS
2009-5-21 9 FDU - Xiangyang XUE
10. RT2 Multimodal Dialogue System
Application:Robot
Knowledge
Knowledge Knowledge Device
Knowledge Device API
Sources
Sources Manager Manager
Sources
Dialogue
NLU Dialogue Activity
Manager
Move Tree Tree Device
Devices
Device
Spoken Language s
s
Unknown words Dialogue
Ontology Move
Engine
Multimodal Response
Dialogue Move Engine
Fusion Generator
Domain adaptation
Semi-Supervised
NLU Gesture NLG Methods
Animation
ASR TTS
2009-5-21 10 FDU - Xiangyang XUE
11. RT3 Image Classification
Wedding
Activity
Party
Coworker
People
Family
Snake
Animal
Lion
2009-5-21 11 FDU - Xiangyang XUE
12. RT4 Cross-Media Search for iTV
• Video Shot Boundary Detection
· 镜头1 镜头2
•
· 镜头1 镜头2
Face Detection and Recognition
镜头1 镜头2
镜头1 镜头2
• Video OCR / ASR
Application
• Correlation Analysis
Movie: Royal Casino Role: James Bond
2009-5-21 12 FDU - Xiangyang XUE
13. Shanghai Industry Intel Developer Forum
Fair 2008 (IDF) 2008
Surveillance in Home
Interactive TV
Education and Gaming for Children
FUWA Robot
Multimodal HCI/Dialog
2009-5-21 13 FDU - Xiangyang XUE