Solving a “Transportation Planning” Problem through the Programming Language “C”Shahadat Hossain Shakil
Solving a “Transportation Planning” problem through the programming language “C”
Presented by
Yousuf Mahid (0615012)
Shahadat Hossain Shakil (0615020)
Khadija Akhter (0615027)
The presentation contain the Thinking about Thinking and Language.
The process of thinking, types, problem solving, various bias, linguistic theories of thinking are included.
Solving a “Transportation Planning” Problem through the Programming Language “C”Shahadat Hossain Shakil
Solving a “Transportation Planning” problem through the programming language “C”
Presented by
Yousuf Mahid (0615012)
Shahadat Hossain Shakil (0615020)
Khadija Akhter (0615027)
The presentation contain the Thinking about Thinking and Language.
The process of thinking, types, problem solving, various bias, linguistic theories of thinking are included.
Visualization of Hajime Yoshino’s Logical Jurisprudence. IRIS 2017Vytautas Čyras
Presentation to publication In: E. Schweighofer, F. Kummer, W. Hötzendorfer, C. Sorge (eds.) Trends and Communities of Legal Informatics. Proceedings of the 20th International Legal Informatics Symposium IRIS 2017, 23–25 February 2017, Salzburg, pp. 349–358. OCG, Vienna. ISBN 978-3-903035-15-7. Also in online journal Jusletter IT, Die Zeitschrift für IT und Recht, 23 February 2017, ISSN 1664-848X, Editions Weblaw, http://jusletter-it.weblaw.ch/issues/2017/IRIS.html. (Peer reviewed – Jury LexisNexis Best Paper Award IRIS2017).
ABSTRACT. Hajime Yoshino’s Logical Jurisprudence (LJ) is an important concept in legal infor-matics. Yoshino aims for a logic-based systematization in the legal domain. He focuses on legal reasoning and systematization. Inevitably, embracing law as a whole brings us to Hans Kelsen’s Pure Theory of Law. In sum, three issues are important in LJ: logic, Kelsen and legal informatics. In this paper we aim to visualize the architecture of LJ. We suggest expanding this with legal ontologies and words. The granularity of word-phrase-sentence-text is about different methods which apply to different units.
In Actors system, we can change State or Behaviors during runtime in actors. There are multiple ways for changing behaviors like conditional based and Hotswap but Finite State Machine(FSM) is the cleanest way. If we have finite number of state in our system then FSM is the good practice.
The objective is to explain how a software design may be represented as a set of interacting objects that manage their own state and operations and to introduce various models that describe an object-oriented design.
Finite State Machines are overlooked at best, ignored at worst, and virtually always dismissed. This is tragic since FSMs are not just about Door Locks (the most commonly used example). On the contrary, these FSMs are invaluable in clearly defining communication protocols – ranging from low-level web-services through complex telephony application to reliable interactions between loosely-coupled systems. Properly using them can significantly enhance the stability and reliability of your systems.
Join me as I take you through a crash-course in FSMs, using erlang’s gen_fsm behavior as the background, and hopefully leaving you with a better appreciation of both FSM and erlang in the process.
It is a mathematical modelling of computation that is extensively used for designing both computer programs as well as sequential logic circuits and can be perceived as an intellectual machine in one of a finite number of states. Copy the link given below and paste it in new browser window to get more information on Finite State Machine:- http://www.transtutors.com/homework-help/computer-science/finite-state-machines.aspx
Supporting Concurrency Abstractions in High-level Language Virtual MachinesStefan Marr
The slides of my PhD defense, more information are available here: http://soft.vub.ac.be/~smarr/2013/01/supporting-concurrency-abstractions-in-high-level-language-virtual-machines/
Visualization of Hajime Yoshino’s Logical Jurisprudence. IRIS 2017Vytautas Čyras
Presentation to publication In: E. Schweighofer, F. Kummer, W. Hötzendorfer, C. Sorge (eds.) Trends and Communities of Legal Informatics. Proceedings of the 20th International Legal Informatics Symposium IRIS 2017, 23–25 February 2017, Salzburg, pp. 349–358. OCG, Vienna. ISBN 978-3-903035-15-7. Also in online journal Jusletter IT, Die Zeitschrift für IT und Recht, 23 February 2017, ISSN 1664-848X, Editions Weblaw, http://jusletter-it.weblaw.ch/issues/2017/IRIS.html. (Peer reviewed – Jury LexisNexis Best Paper Award IRIS2017).
ABSTRACT. Hajime Yoshino’s Logical Jurisprudence (LJ) is an important concept in legal infor-matics. Yoshino aims for a logic-based systematization in the legal domain. He focuses on legal reasoning and systematization. Inevitably, embracing law as a whole brings us to Hans Kelsen’s Pure Theory of Law. In sum, three issues are important in LJ: logic, Kelsen and legal informatics. In this paper we aim to visualize the architecture of LJ. We suggest expanding this with legal ontologies and words. The granularity of word-phrase-sentence-text is about different methods which apply to different units.
In Actors system, we can change State or Behaviors during runtime in actors. There are multiple ways for changing behaviors like conditional based and Hotswap but Finite State Machine(FSM) is the cleanest way. If we have finite number of state in our system then FSM is the good practice.
The objective is to explain how a software design may be represented as a set of interacting objects that manage their own state and operations and to introduce various models that describe an object-oriented design.
Finite State Machines are overlooked at best, ignored at worst, and virtually always dismissed. This is tragic since FSMs are not just about Door Locks (the most commonly used example). On the contrary, these FSMs are invaluable in clearly defining communication protocols – ranging from low-level web-services through complex telephony application to reliable interactions between loosely-coupled systems. Properly using them can significantly enhance the stability and reliability of your systems.
Join me as I take you through a crash-course in FSMs, using erlang’s gen_fsm behavior as the background, and hopefully leaving you with a better appreciation of both FSM and erlang in the process.
It is a mathematical modelling of computation that is extensively used for designing both computer programs as well as sequential logic circuits and can be perceived as an intellectual machine in one of a finite number of states. Copy the link given below and paste it in new browser window to get more information on Finite State Machine:- http://www.transtutors.com/homework-help/computer-science/finite-state-machines.aspx
Supporting Concurrency Abstractions in High-level Language Virtual MachinesStefan Marr
The slides of my PhD defense, more information are available here: http://soft.vub.ac.be/~smarr/2013/01/supporting-concurrency-abstractions-in-high-level-language-virtual-machines/
The session will begin with the history of the oracles endeavor with CDI solutions with their Oracle CDH product and brief functionality of R11i. And the session quickly progresses into the new features and functionality of the R12 version of the CDH product. The session concludes with the potential future aspects of the product beyond R12.
Objectives:
1) Bring the audience up to the speed by discussing R11i version of the Oracle CDH product and TCA.
2) Educate the audience about the improvements and new features made available in R12.
3) And conclude the presentation with oracle’s future directions of the Oracle CDH products beyond R12.
Semantische interoperabiliteit met behulp van een bedrijfsbrede taxonomieRichard Claassens CIPPE
Presentatie bij het paper : Semantische interoperabiliteit
met behulp van een bedrijfsbrede taxonomie;
Wat kunnen we leren van
IBM’s IFW Business Data Concepts Classification
These Lecture series are relating the use R language software, its interface and functions required to evaluate financial risk models. Furthermore, R software applications relating financial market data, measuring risk, modern portfolio theory, risk modeling relating returns generalized hyperbolic and lambda distributions, Value at Risk (VaR) modelling, extreme value methods and models, the class of ARCH models, GARCH risk models and portfolio optimization approaches.
Similar to Sigma Knowledge Engineering Environment (20)
This presentation provides an overview of the Virtuoso platform which special emphasis on its Knowledge Graph and Data Virtualization functionality realms.
Enterprise & Web based Federated Identity Management & Data Access Controls Kingsley Uyi Idehen
This presentation breaks down issues associated with federated identity management and protected resource access controls (policies). Specifically, it uses Virtuoso and RDF to demonstrate how this longstanding issue has been addressed using the combination of RDF based entity relationship semantics and Linked Open Data.
Data is an increasingly common term used on the assumption that its meaning is commonly understood. This presentation seeks to drill down into the very specifics of what data is all about.
This was a presentation given to the Ontolog groups session on Ontology Life Cycles and Software. It covers the implications of the Web as the software platform and realities delivered by the Linked Open Data cloud.
Detailed how-to guide covering the fusion of ODBC and Linked Data, courtesy of Virtuoso.
This presentation includes live links to actual ODBC and Linked Data exploitation demos via an HTML5 based XMLA-ODBC Client. It covers:
1. SPARQL queries to various Linked (Open) Data Sources via ODBC
2. ODBC access to SQL Views generated from federated SPARQL queries
3. Local and Network oriented Hyperlinks
4. Structured Data Representation and Formats.
Detailed Installation Guide for using the Virtuoso ODBC Driver to connect Mac OS X Applications to the Linked (Open) Data Cloud and other Big Data sources.
Detailed Installation Guide for using the Virtuoso ODBC Driver to connect Windows Applications to the Linked (Open) Data Cloud and other Big Data sources.
Exploiting Linked (Open) Data via Microsoft Access using ODBC File DSNsKingsley Uyi Idehen
This is a variation of the initial presentation (which slideshare won't let me overwrite) that includes the use of File DSNs for attaching SPARQL Views to Microsoft Access via ODBC.
Using Tibco SpotFire (via Virtuoso ODBC) as Linked Data Front-endKingsley Uyi Idehen
Detailed guide covering the configuration of a Virtuoso ODBC Data Source Name (DSN) into the Web of Linked Data en route to utilization via Tibco's SpotFire BI tool.
Basically, SpotFire as a Linked (Open) Data fronte-end via ODBC.
This presentation walks you through the process of using Microsoft Access (via ODBC) as a front-end for the massive Linked Open Data Cloud and other Linked Data sources.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Sigma Knowledge Engineering Environment
1. The Sigma Knowledge Engineering
Environment:
An environment for developing large theories
in first- and higher-order logic
Adam Pease, Articulate Software
apease@articulatesoftware.com
http://www.ontologyportal.org/
1
2. Sigma
●
An IDE for SUMO
●
Browsing, inference, debugging
●
Some information extraction
2
3. Suggested Upper Merged
Ontology
●
1000 terms, 4000 axioms, 750 rules
●
Mapped by hand to all of WordNet 1.6
●
then ported to 3.0
●
Associated domain ontologies totalling 20,000 terms and 80,000
axioms
●
Mapped to all of YAGO – millions of facts
●
Free
●
SUMO is owned by IEEE but basically public domain
●
Domain ontologies are released under GNU
●
www.ontologyportal.org
3
4. SUMO+Domain Ontology
SUMO
Structural
Ontology
Base
Ontology
Total Terms Total Axioms Rules
Set/Class
Numeric Temporal Mereotopology
Theory
20977 88257 4730
Graph Measure Processes Objects
Relations: 1280
Qualities
Transnational WMD Mid-Level
Issues
Financial
Geography
Ontology ECommerce
Communications Services
Distributed
Government
People Computing
Military
Terrorist Terrorist
Transportation Economy Attack Types
UnitedStates Terrorist Biological
Elements NAICS
Attacks Viruses
Afghanistan
France 4
World
…
Airports
6. Taxonomy
● What's an
automobile?
automobile – truck or sedan
– Alone it might be
taken as not
including trucks
truck sedan
– Does truck include
18-wheelers?
AdamsHonda
6
7. Automation
● if d is an a, a can't be
a
a d (usually)
b c
d
7
13. Call it by another name
● But is it the same?
● One might assert the term is the same
– is it?
● If definitions are shared but shallow, what
might be missing?
● If definitions are different are they consistent?
– How do you determine consistency?
13
19. Sentiment Analysis
● Emotional content of text
● Pilot project combining
– Sentiment analysis (computational linguistics)
– Concept extraction (linguistic semantics/ontology)
● Note this is just a pilot project and the computational
linguistic method used is really basic, not state of the art
● Applications:
– Fine grained search by features
– Ratings by review, not by stars, and integrated across sources
– Merge hotel ratings from different services that have different
scales by using sentiment
19
20. Meadowood, St. Helena: Restaurant:10
“In recent years the elegant but unstuffy dining room has won rave
reviews, becoming a destination restaurant.“
Marys Lake Lodge and Resort, CO: Roadway: -8
“Not to mention it is very expensive and located in a place that doesn't get
much sun so it's icy and cold; and the maintenance of roads is terrible in
winter.”
20
22. Sigma Functions
Mapping,
merging
and
translation Browsing Analysis and Inference
and display debugging
Mapping&
KBs
Merging
Load/ Browse WordNet KB Consistency Ask/
SaveAs Term Diagnostics Diagnostics Check Tell
Simplified Browse
Graph Local Remote
Browse Word
Browse
WordNet 22
23. ● Simple string distance-based merging
tool
– More complicated algorithms seemed to
have little practical effect
Mapping, – Most of the value was in a convenient
merging
and GUI
translation
– Most ontologies to be merged have so
Mapping&
little to match on
Merging
● Supported Languages
Load/
– SUO-KIF
SaveAs
– OWL
– Prolog
– TPTP
– THF 23
24. Browsing
and display
KBs
Browse
Term
Simplified Browse
Graph
Browse Word
Browse
WordNet
24
26. ● Consistency check
– Attempt to prove
inconsistency
– Incomplete
● Rootless term
● No documentation Analysis and
debugging
● Term with no axioms
● Disjoint parents
WordNet KB Consistency
● File dependency Diagnostics Diagnostics Check
● WordNet-SUMO
hierarchy compare
26
27. ● Local inference engines
– KIF-Vampire, LEO-II, Metis,
SInE Inference
– 40+ TPTP engines remote at U
Miami
Ask/
Tell
Local Remote
27
28. SUMO+
Query ● Pre- and post-
processing to interface
Predicate
Variables with standard provers
● Metis needed for
Higher
Order answer extraction and
proof presentation with
Arithmetic
Functions
Answer+
Proof
many provers
Row Variable Answer
Expansion Extraction
Sort Proof
Prefixing Vampire Simplification
Predicate TPTP
Metis 28
Renaming World
30. SUO-KIF
● variant of the KIF language (Genesereth,
1991)
● LISP-like syntax
● only logical operators in the language itself
– Original KIF had ”definition” and class-forming
operators
30
31. SUO-KIF (continued)
● “free” syntax
– variables in the predicate position
– quantification over formulas
– predicates and instances may share names
● empty conjunctions etc not allowed
● Variables denoted by “?” character
● Sequence variables
● “forall”, “exists”, “=>” and “<=>”
● quantified variables have no explicit sort
syntax 31
32. Class and Instance Creation
Predicates
(instance Adam Human)
(subclass Human Mammal)
not
(Human Adam)
(Mammal Human)
32
33. Sigma Inference
● Since 2002 using a customized version of
Vampire
– Treat sequence variables as macros
– Quantification of free variables
– Quoting second order
– “holds” prefixes (for functions too)
– Adding explicit sorts (* new)
33
36. “holds” prefixing
● Prepend a “dummy” predicate to every
clause with a non-logical operator
● Forces any predicate variables into the first
argument
● A single predicate name ruins performance
● Including number of arguments in name
helps (and use apply_ for functions)
(=> (=>
(inverse ?REL1 ?REL2) (holds_3__ inverse ?REL1 ?REL2)
(forall (?INST1 ?INST2) (forall (?INST1 ?INST2)
(<=> (<=>
(?REL1 ?INST1 ?INST2) (holds_3__ ?REL1 ?INST1 ?INST2)
(?REL2 ?INST2 ?INST1)))) (holds_3__ ?REL2 ?INST2 ?INST1))))
36
37. Quoting Second Order
● Unification still works
(believes Mary
(likes Mary Bill)) ;; fact
(believes Mary (likes ?X Bill)) ;; query
(likes Mary Bill) ;; result
● But logical operators lose their meaning
(believes Mary
(and
(likes Mary Bill)
(likes Sue Bill)))
(believes Mary (likes ?X Bill)) ;; query doesn't unify
37