O documento anuncia vários eventos em setembro e outubro, incluindo grupos de trabalho para adoração começando em 9 de setembro, uma terceira turma em 20 de setembro, e um acampamento INAViva em 29 de novembro.
Nuestra experiencia nos permite crear proyectos a medida de cada cliente y por lo tanto estar siempre al día con las últimas tendencias y técnicas . Ser creativo y de mente abierta es hacernos crecer cada día . Realmente apreciamos ser desafiados , no dude en contactar con nosotros.
mòvil: 996867905
email: arteswh@gmail.com
web: willyhermoza.blogspot.com
We present an approach towards knowledge acquisition of process knowledge for the natural sciences. The work has been conducted within Project Halo, which is creating advanced knowledge authoring and question answering systems for the natural sciences. An analysis of AP®-level questions for Biology, Chemistry and Physics uncovered that process knowledge is the single most frequent type of knowledge required. Thus, we developed means to acquire process knowledge, to formally represent it, and to reason about it in order to answer novel questions about the do-mains.
All these tasks are supported by an abstract process meta-model. It provides the terminology for user-tailored process diagrams, which are automatically translated into executa-ble FLogic code. The meta-model and the code generation are based on the notion of Problem Solving Methods (PSM) which represent an abstract formalization of the reasoning strategies needed for processes.
Kharif crops such as paddy, soybean, maize and cotton are grown during the rainy season from June to October. Rabi crops like wheat, gram, peas and mustard are grown during the winter from November to April. Animal husbandry involves breeding, feeding and caring for domestic animals for purposes like food production.
OWL reasoning with WebPIE: calculating the closer of 100 billion triplesMahdi Atawneh
The document presents a methodology for using MapReduce and WebPIE, a reasoning engine, to perform OWL reasoning on large datasets in a distributed, scalable manner. It extends previous work that used this approach for RDFS reasoning. The methodology partitions data and distributes rules across nodes to perform joins and derive inferences in parallel. An experiment demonstrated the approach could reason over datasets with billions of triples within hours and showed good scalability with input size and node count. However, results for the largest dataset were not reported and the approach may be costly to implement due to its use of MapReduce.
Clustering CDS: algorithms, distances, stability and convergence ratesGautier Marti
Talk given at CMStatistics 2016 (http://cmstatistics.org/CMStatistics2016/).
The standard methodology for clustering financial time series is quite brittle to outliers / heavy-tails for many reasons: Single Linkage / MST suffers from the chaining phenomenon; Pearson correlation coefficient is relevant for Gaussian distributions which is usually not the case for financial returns (especially for credit derivatives). At Hellebore Capital Ltd, we strive to improve the methodology and to ground it. We think that stability is a paramount property to verify, which is closely linked to statistical convergence rates of the methodologies (combination of clustering algorithms and dependence estimators). This gives us a model selection criterion: The best clustering methodology is the methodology that can reach a given 'accuracy' with the minimum sample size.
O documento anuncia vários eventos em setembro e outubro, incluindo grupos de trabalho para adoração começando em 9 de setembro, uma terceira turma em 20 de setembro, e um acampamento INAViva em 29 de novembro.
Nuestra experiencia nos permite crear proyectos a medida de cada cliente y por lo tanto estar siempre al día con las últimas tendencias y técnicas . Ser creativo y de mente abierta es hacernos crecer cada día . Realmente apreciamos ser desafiados , no dude en contactar con nosotros.
mòvil: 996867905
email: arteswh@gmail.com
web: willyhermoza.blogspot.com
We present an approach towards knowledge acquisition of process knowledge for the natural sciences. The work has been conducted within Project Halo, which is creating advanced knowledge authoring and question answering systems for the natural sciences. An analysis of AP®-level questions for Biology, Chemistry and Physics uncovered that process knowledge is the single most frequent type of knowledge required. Thus, we developed means to acquire process knowledge, to formally represent it, and to reason about it in order to answer novel questions about the do-mains.
All these tasks are supported by an abstract process meta-model. It provides the terminology for user-tailored process diagrams, which are automatically translated into executa-ble FLogic code. The meta-model and the code generation are based on the notion of Problem Solving Methods (PSM) which represent an abstract formalization of the reasoning strategies needed for processes.
Kharif crops such as paddy, soybean, maize and cotton are grown during the rainy season from June to October. Rabi crops like wheat, gram, peas and mustard are grown during the winter from November to April. Animal husbandry involves breeding, feeding and caring for domestic animals for purposes like food production.
OWL reasoning with WebPIE: calculating the closer of 100 billion triplesMahdi Atawneh
The document presents a methodology for using MapReduce and WebPIE, a reasoning engine, to perform OWL reasoning on large datasets in a distributed, scalable manner. It extends previous work that used this approach for RDFS reasoning. The methodology partitions data and distributes rules across nodes to perform joins and derive inferences in parallel. An experiment demonstrated the approach could reason over datasets with billions of triples within hours and showed good scalability with input size and node count. However, results for the largest dataset were not reported and the approach may be costly to implement due to its use of MapReduce.
Clustering CDS: algorithms, distances, stability and convergence ratesGautier Marti
Talk given at CMStatistics 2016 (http://cmstatistics.org/CMStatistics2016/).
The standard methodology for clustering financial time series is quite brittle to outliers / heavy-tails for many reasons: Single Linkage / MST suffers from the chaining phenomenon; Pearson correlation coefficient is relevant for Gaussian distributions which is usually not the case for financial returns (especially for credit derivatives). At Hellebore Capital Ltd, we strive to improve the methodology and to ground it. We think that stability is a paramount property to verify, which is closely linked to statistical convergence rates of the methodologies (combination of clustering algorithms and dependence estimators). This gives us a model selection criterion: The best clustering methodology is the methodology that can reach a given 'accuracy' with the minimum sample size.
How to Build a Proactive Candidate Sourcing Strategy Lever Inc.
This document outlines a proactive candidate sourcing strategy in 3 stages: kickoff, search, and outreach. The kickoff stage involves gathering key information about the role and criteria. The search stage consists of preparatory research, market mapping, and identifying sources to search. The outreach stage focuses on motivations-based, personalized outreach using various tools and metrics to measure success.
This tutorial tries to answer the following questions:
What is the best practice for ontology reuse?
Is it fine to use external ontology entities to model my local entities?
Should I import the ontologies that I reuse?
What if I only need a part of an ontology?
What if an external ontology that I reused, changes?
This document provides an introduction to search engine optimization (SEO). It discusses the goal of SEO as increasing website traffic through higher search engine rankings. Both on-page and off-page optimization techniques are covered. Specific optimization strategies are outlined for Google, Yahoo, and MSN, focusing on factors like backlinks, content, site structure and link aging.
In the last few years, a number of new security features have become available to web developers (e.g. Content Security Policy, Strict Transport Security) and a few more are coming up (e.g. Referrer Policy, Subresource Integrity).
As a browser vendor and a member of the W3C WebAppSec working group, Mozilla is busy extending the web platform to provide the tools and features that developers and users need in 2016. In addition to that, the non-profit behind Firefox is experimenting with new ways to protect its users, building on Google's Safe Browsing technology to defend users against tracking.
This talk will introduce developers to the security features of the web platform they can use today and show end-users how they can harden their Firefox browser.
https://www.linuxfestnorthwest.org/2016/sessions/security-and-privacy-web-2016
On Clustering Financial Time Series - Beyond CorrelationGautier Marti
This document discusses clustering financial time series data using correlation matrices. It summarizes that analyzing 560 credit default swaps over 2500 days, the empirical correlation matrix eigenvalues closely match the theoretical Marchenko-Pastur distribution, indicating noise. Only 26 eigenvalues exceed the theoretical maximum, which may correspond to market and industry factors. Hierarchical clustering can reorder assets to reveal correlation patterns. Filtering by this reveals the underlying network structure. Beyond correlations, copulas represent the dependence structure, and a distance measure is proposed combining L1 and L0 distances of cumulative distribution functions to cluster on full distributions rather than just correlations. Stability tests show the proposed approach yields more robust clusters than standard correlation-based methods.
Knowledge representation is a field of artificial intelligence that represents information about the world in a way that a computer system can understand to perform complex tasks. It simplifies complex systems through modeling human psychology and problem-solving. Examples of knowledge representation include semantic nets, frames, rules, and ontologies. Knowledge representation allows for automated reasoning about represented knowledge and asserting new knowledge. While first-order logic provides powerful and compact representation, it lacks ease of use and practical implementation for real-world problems. Effective knowledge representation requires balancing expressive power with practical considerations like execution efficiency.
Windows logon password – get windows logon password using wdigest in memory d...Gol D Roger
This document discusses extracting Windows logon passwords from memory dumps. It begins by explaining how passwords were traditionally extracted from files like SAM and SECURITY using NTLM hashes. It then describes how Mimikatz can extract plaintext passwords using the Windows authentication package Wdigest. The document details the process Mimikatz uses on live systems and shows how to replicate this on a memory dump - finding the processes, dumping relevant DLLs like Wdigest and Lsasrv, and using structures and functions to decrypt passwords stored in memory.
International Upcycling Research Network advisory board meeting 4Kyungeun Sung
Slides used for the International Upcycling Research Network advisory board 4 (last one). The project is based at De Montfort University in Leicester, UK, and funded by the Arts and Humanities Research Council.
How to Build a Proactive Candidate Sourcing Strategy Lever Inc.
This document outlines a proactive candidate sourcing strategy in 3 stages: kickoff, search, and outreach. The kickoff stage involves gathering key information about the role and criteria. The search stage consists of preparatory research, market mapping, and identifying sources to search. The outreach stage focuses on motivations-based, personalized outreach using various tools and metrics to measure success.
This tutorial tries to answer the following questions:
What is the best practice for ontology reuse?
Is it fine to use external ontology entities to model my local entities?
Should I import the ontologies that I reuse?
What if I only need a part of an ontology?
What if an external ontology that I reused, changes?
This document provides an introduction to search engine optimization (SEO). It discusses the goal of SEO as increasing website traffic through higher search engine rankings. Both on-page and off-page optimization techniques are covered. Specific optimization strategies are outlined for Google, Yahoo, and MSN, focusing on factors like backlinks, content, site structure and link aging.
In the last few years, a number of new security features have become available to web developers (e.g. Content Security Policy, Strict Transport Security) and a few more are coming up (e.g. Referrer Policy, Subresource Integrity).
As a browser vendor and a member of the W3C WebAppSec working group, Mozilla is busy extending the web platform to provide the tools and features that developers and users need in 2016. In addition to that, the non-profit behind Firefox is experimenting with new ways to protect its users, building on Google's Safe Browsing technology to defend users against tracking.
This talk will introduce developers to the security features of the web platform they can use today and show end-users how they can harden their Firefox browser.
https://www.linuxfestnorthwest.org/2016/sessions/security-and-privacy-web-2016
On Clustering Financial Time Series - Beyond CorrelationGautier Marti
This document discusses clustering financial time series data using correlation matrices. It summarizes that analyzing 560 credit default swaps over 2500 days, the empirical correlation matrix eigenvalues closely match the theoretical Marchenko-Pastur distribution, indicating noise. Only 26 eigenvalues exceed the theoretical maximum, which may correspond to market and industry factors. Hierarchical clustering can reorder assets to reveal correlation patterns. Filtering by this reveals the underlying network structure. Beyond correlations, copulas represent the dependence structure, and a distance measure is proposed combining L1 and L0 distances of cumulative distribution functions to cluster on full distributions rather than just correlations. Stability tests show the proposed approach yields more robust clusters than standard correlation-based methods.
Knowledge representation is a field of artificial intelligence that represents information about the world in a way that a computer system can understand to perform complex tasks. It simplifies complex systems through modeling human psychology and problem-solving. Examples of knowledge representation include semantic nets, frames, rules, and ontologies. Knowledge representation allows for automated reasoning about represented knowledge and asserting new knowledge. While first-order logic provides powerful and compact representation, it lacks ease of use and practical implementation for real-world problems. Effective knowledge representation requires balancing expressive power with practical considerations like execution efficiency.
Windows logon password – get windows logon password using wdigest in memory d...Gol D Roger
This document discusses extracting Windows logon passwords from memory dumps. It begins by explaining how passwords were traditionally extracted from files like SAM and SECURITY using NTLM hashes. It then describes how Mimikatz can extract plaintext passwords using the Windows authentication package Wdigest. The document details the process Mimikatz uses on live systems and shows how to replicate this on a memory dump - finding the processes, dumping relevant DLLs like Wdigest and Lsasrv, and using structures and functions to decrypt passwords stored in memory.
International Upcycling Research Network advisory board meeting 4Kyungeun Sung
Slides used for the International Upcycling Research Network advisory board 4 (last one). The project is based at De Montfort University in Leicester, UK, and funded by the Arts and Humanities Research Council.
Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey ...SirmaDuztepeliler
"Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey Toward Sustainability"
The booklet of my master’s thesis at the Department of Architecture and Civil Engineering at Chalmers University of Technology. (Gothenburg, Sweden)
This thesis explores the transformation of the vacated (2023) IKEA store in Kållered, Sweden, into a "Reuse Hub" addressing various user types. The project aims to create a model for circular and sustainable economic practices that promote resource efficiency, waste reduction, and a shift in societal overconsumption patterns.
Reuse, though crucial in the circular economy, is one of the least studied areas. Most materials with reuse potential, especially in the construction sector, are recycled (downcycled), causing a greater loss of resources and energy. My project addresses barriers to reuse, such as difficult access to materials, storage, and logistics issues.
Aims:
• Enhancing Access to Reclaimed Materials: Creating a hub for reclaimed construction materials for both institutional and individual needs.
• Promoting Circular Economy: Showcasing the potential and variety of reusable materials and how they can drive a circular economy.
• Fostering Community Engagement: Developing spaces for social interaction around reuse-focused stores and workshops.
• Raising Awareness: Transforming a former consumerist symbol into a center for circular practices.
Highlights:
• The project emphasizes cross-sector collaboration with producers and wholesalers to repurpose surplus materials before they enter the recycling phase.
• This project can serve as a prototype for reusing many idle commercial buildings in different scales and sizes.
• The findings indicate that transforming large vacant properties can support sustainable practices and present an economically attractive business model with high social returns at the same time.
• It highlights the potential of how sustainable practices in the construction sector can drive societal change.