Deep neural-based vulnerability discovery demystified: data, model and performance

2021 ◽  
Author(s):  
Guanjun Lin ◽  
Wei Xiao ◽  
Leo Yu Zhang ◽  
Shang Gao ◽  
Yonghang Tai ◽  
...  
Keyword(s):  
Data Model ◽  
Vulnerability Discovery ◽  
And Performance

scholarly journals Breathing Artifacts of Urban BioClimatic Layers for Post-Anthropocene Urban Environment

2021 ◽  
Vol 13 (20) ◽  
pp. 11307
Author(s):  
Marie Davidová
Keyword(s):  
Urban Design ◽  
Data Model ◽  
Architectural Design ◽  
Cultural Landscape ◽  
Visual Complexity ◽  
Field Studies ◽  
Qualitative Synthesis ◽  
Hard Data ◽  
And Performance ◽  
Climate Comfort

This article seeks the qualitative synthesis of schools of thought from extreme climate regions that could support urban biodiversity and climate change adaptation through architectural design. It proposes that climate comfort and biodiversity are closely related. This article suggests a possible systemic urban metabolism within a built environment that can support a transition to post-Anthropocene, where humans and other species live together in synergy. This article exemplifies and seeks systemic relations and reflections of gathered field studies documentation of case studies of breathing walls, envelopes, and screens generating bioclimatic layers in the cultural landscape, selected for their penetrability and performance. The samples from diverse study journeys that were codesigned through vernacular cultures and the author’s research by design speculations on the responsive screen ‘Ray’ are investigated and speculated upon through gigamapping (visual complexity mapping). This gigamapping is not to present any hard data model but to relate, inform and speculate on the investigated field that is grounded in research by design on cross-species coliving. This is approached through possible architectures and architectural and urban design parasites, transitioning towards synergetic landscapes of our envisioned colived and cocreated futures.

Web Intelligence

Big Data ◽  
2016 ◽  
pp. 711-733 ◽  
Author(s):  
Jafreezal Jaafar ◽  
Kamaluddeen Usman Danyaro ◽  
M. S. Liew
Keyword(s):  
Big Data ◽  
Knowledge Base ◽  
Data Model ◽  
Performance Comparison ◽  
Web Ontology Language ◽  
Web Intelligence ◽  
Knowledge Based ◽  
Ontology Language ◽  
And Performance ◽  
Fuzzy Knowledge

This chapter discusses about the veracity of data. The veracity issue is the challenge of imprecision in big data due to influx of data from diverse sources. To overcome this problem, this chapter proposes a fuzzy knowledge-based framework that will enhance the accessibility of Web data and solve the inconsistency in data model. D2RQ, protégé, and fuzzy Web Ontology Language applications were used for configuration and performance. The chapter also provides the completeness fuzzy knowledge-based algorithm, which was used to determine the robustness and adaptability of the knowledge base. The result shows that the D2RQ is more scalable with respect to performance comparison. Finally, the conclusion and future lines of the research were provided.

scholarly journals Connotation among Structure, Conduct, and Performance: A Panel Data Analysis of Selected Financial Firms in Pakistan

2017 ◽  
pp. 78-101
Author(s):  
Muhammad Jamil Et al.,
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Panel Data Analysis ◽  
Positive Association ◽  
Dynamic Panel Data ◽  
Panel Data Models ◽  
Dynamic Panel ◽  
Financial Firms ◽  
And Performance ◽  
The Relationship

The study of Structure, Conduct, and Performance (SCP) paradigm is important to evaluate the performance of firms. The study scrutinizes the relationship among SCP paradigm of selected financial firms (Banks, Insurance, Modaraba and Exchange companies) in Pakistan. Panel data of 103 financial firms of Pakistan from 2007 to 2015 is employed for this purpose. Various models of panel data have been employed to find the more parsimonious one. It is concluded that there is positive association among SCP using panel data models and dynamic panel data model. It is recommended that all firms are needed to enhance their management regarding expenditures and they also need to increase the number of shareholders to boost the firm’s performance

Web Intelligence

2015 ◽  
pp. 83-104 ◽  
Author(s):  
Jafreezal Jaafar ◽  
Kamaluddeen Usman Danyaro ◽  
M. S. Liew
Keyword(s):  
Big Data ◽  
Knowledge Base ◽  
Data Model ◽  
Performance Comparison ◽  
Web Ontology Language ◽  
Web Intelligence ◽  
Knowledge Based ◽  
Ontology Language ◽  
And Performance ◽  
Fuzzy Knowledge

This chapter discusses about the veracity of data. The veracity issue is the challenge of imprecision in big data due to influx of data from diverse sources. To overcome this problem, this chapter proposes a fuzzy knowledge-based framework that will enhance the accessibility of Web data and solve the inconsistency in data model. D2RQ, protégé, and fuzzy Web Ontology Language applications were used for configuration and performance. The chapter also provides the completeness fuzzy knowledge-based algorithm, which was used to determine the robustness and adaptability of the knowledge base. The result shows that the D2RQ is more scalable with respect to performance comparison. Finally, the conclusion and future lines of the research were provided.

BIM data model requirements for asset monitoring and the circular economy

2020 ◽  
Vol 18 (5) ◽  
pp. 1269-1285 ◽  
Author(s):  
Juan Manuel Davila Delgado ◽  
Lukumon O. Oyedele
Keyword(s):  
Circular Economy ◽  
Data Model ◽  
Data Models ◽  
Monitoring Systems ◽  
Content Type ◽  
Standard Data ◽  
Open Standard ◽  
Asset Monitoring ◽  
And Performance ◽  
Current Standards

Purpose The purpose of this paper is to review and provide recommendations to extend the current open standard data models for describing monitoring systems and circular economy precepts for built assets. Open standard data models enable robust and efficient data exchange which underpins the successful implementation of a circular economy. One of the largest opportunities to reduce the total life cycle cost of a built asset is to use the building information modelling (BIM) approach during the operational phase because it represents the largest share of the entire cost. BIM models that represent the actual conditions and performance of the constructed assets can boost the benefits of the installed monitoring systems and reduce maintenance and operational costs. Design/methodology/approach This paper presents a horizontal investigation of current BIM data models and their use for describing circular economy principles and performance monitoring of built assets. Based on the investigation, an extension to the industry foundation classes (IFC) specification, recommendations and guidelines are presented which enable to describe circular economy principles and asset monitoring using IFC. Findings Current open BIM data models are not sufficiently mature yet. This limits the interoperability of the BIM approach and the implementation of circular economy principles. An overarching approach to extend the current standards is necessary, which considers aspects related to not only modelling the monitoring system but also data management and analysis. Originality/value To the authors’ best knowledge, this is the first study that identifies requirements for data model standards in the context current linear economic model of making, using and disposing is growing unsustainably far beyond the finite limits of planet of a circular economy. The results of this study set the basis for the extension of current standards required to apply the circular economy precepts.

A new cost-performance grid to compare different flood modelling approaches

2021 ◽  
Author(s):  
Rouya Hdeib ◽  
Roger Moussa ◽  
François Colin ◽  
Chadi Abdallah
Keyword(s):  
Data Model ◽  
Cost Effective ◽  
Performance Curve ◽  
Flood Modeling ◽  
Proper Selection ◽  
Cost Performance ◽  
Modeling Approaches ◽  
And Performance ◽  
The Cost ◽  
Selection Of

<p>The wise selection of modeling approaches with an appropriate level of complexity for the study objectives is critical for robust inference. In this paper, the structure of a cost-performance grid designed for flood modeling is presented. The grid is developed to compare different flood modeling approaches of variable complexity and to guide on the proper selection of the couple data-model. The methodology involves defining metrics to quantify the three variables: data costs, model costs, and performance. Preliminarily, eighteen flood modeling applications in literature were arbitrarily selected and analyzed to guide on the implementation of the grid. The cost-performance diagram allows tracing a cost-performance curve and grouping applications in 4 zones corresponding to 4 modeling approaches (empirical and geomorphic, hydrological, hydraulic, and coupling). The grid is a tool to support the comparison, classification, and future selection of cost-effective modeling approaches. It is flexible and can be extrapolated to other modeling objectives.</p>

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