Towards a new knowledge-based framework for integrated quality control planning

2021 ◽  
Vol 15 (5) ◽  
pp. 583
Author(s):  
Fadwa Oukhay ◽  
Ahmed Badreddine ◽  
Taieb Ben Romdhane
Keyword(s):  
Quality Control ◽  
Knowledge Based ◽  
New Knowledge

Towards a New Knowledge-based Framework for Integrated Quality Control Planning

2021 ◽  
Vol 15 (5) ◽  
pp. 1
Author(s):  
Fadwa Oukhay ◽  
Ahmed Badreddine ◽  
Taieb Ben Romdhane
Keyword(s):  
Quality Control ◽  
Knowledge Based ◽  
New Knowledge

Geocartographic thinking in modern science

2020 ◽  
Vol 961 (7) ◽  
pp. 27-36
Author(s):  
A.K. Cherkashin
Keyword(s):  
Differential Geometry ◽  
Fiber Bundle ◽  
Modern Science ◽  
The State ◽  
Theory Of Knowledge ◽  
Knowledge Map ◽  
Knowledge Based ◽  
Geographical Environment ◽  
New Knowledge ◽  
Thematic Layer

The purpose of the study is to show how the features of geocartographic way of thinking are manifested in the meta-theory of knowledge based on mathematical formalisms. General cartographic concepts and regularities are considered in the view of metatheoretic analysis using cognitive procedures of fiber bundle from differential geometry. On levels of metainformation generalization, the geocartographic metatheoretic approach to the study of reality is higher than the system-theoretical one. It regulates the type of equations, models, and methods of each intertheory expressed in its own system terms. There is a balance between the state of any system and its geographical environment; therefore the observed phenomena are only explained theoretically in a metatheoretic projection on the corresponding system-thematic layer of the knowledge map. Metatheoretic research enables passing from the systematization of already known patterns to the formation of new knowledge through the scientific stratification of reality. General methods of metatheoretic analysis are mathematically distinguished

Pattern Matching Synthesis As an Automated Approach to Mechanism Design

1989 ◽  
Author(s):  
D. A. Hoeltzel ◽  
W.-H. Chieng
Keyword(s):  
Neural Network ◽  
Mechanism Design ◽  
Pattern Matching ◽  
Network Models ◽  
Hopfield Neural Network ◽  
Neural Network Models ◽  
Knowledge Based ◽  
Synthesis Of Mechanisms ◽  
New Knowledge ◽  
Programming Techniques

Abstract A new knowledge-based approach for the synthesis of mechanisms, referred to as Pattern Matching Synthesis, has been developed based on committee machine and Hopfield neural network models of pattern matching applied to coupler curves. Computational tests performed on a dimensionally parameterized four bar mechanism have yielded 15 distinct coupler curve groups (patterns) from a total of 356 generated coupler curves. This innovative approach represents a first step toward the automation of mapping structure-to-function in mechanism design based on the application of artificial intelligence programming techniques.

Optimization and validation of the knowledge-based traceability system for quality control in fish waterless live transportation

Food Control ◽  
2021 ◽  
Vol 122 ◽  
pp. 107809
Author(s):  
Wensheng Wang ◽  
Jinchao Xu ◽  
Wenfeng Zhang ◽  
Branko Glamuzina ◽  
Xiaoshuan Zhang
Keyword(s):  
Quality Control ◽  
Traceability System ◽  
Knowledge Based

Developing a Knowledge-Based Organizational Performance Model for Improving Knowledge Flows in Discontinuous Organizations

2011 ◽  
pp. 89-108
Author(s):  
Rahinah Ibrahim ◽  
Mark E. Nissen
Keyword(s):  
Organizational Performance ◽  
Tacit Knowledge ◽  
Affordable Housing ◽  
Organization Theory ◽  
Knowledge Flows ◽  
Performance Model ◽  
Ethnographic Study ◽  
Knowledge Based ◽  
New Knowledge ◽  
Insight Into

Tacit knowledge attenuates particularly quickly in organizations that experience discontinuous membership: the coming and going of organizational roles or positions during a workflow process. Since knowledge flows enable workflows, and workflows drive performance, theory suggests that dynamic knowledge—particularly tacit knowledge—is critical for competitive advantage. This research seeks to extend established organization theory, through integration of emerging knowledge-flow theory, to inform the design of discontinuous organizations. Toward this end, we build a computational model based upon ethnographic study of an affordable housing project that experienced severe discontinuous membership. Analysis of this model reveals problematic theoretical gaps, and provides insight into how scholarly understanding of knowledge flows can extend organization theory to address discontinuous organizations. This research contributes new knowledge for designing knowledge-based organizations in discontinuous contexts.

The Contribution of University Business Incubators to New Knowledge-Based Ventures

2001 ◽  
Vol 15 (4) ◽  
pp. 239-250 ◽  
Author(s):  
Rosa Grimaldi ◽  
Alessandro Grandi
Keyword(s):  
Case Studies ◽  
Empirical Analysis ◽  
Technological Knowledge ◽  
Business Incubators ◽  
Knowledge Based ◽  
New Knowledge ◽  
The Creation ◽  
The Empirical Analysis

This paper examines the role of university business incubators (UBIs) in supporting the creation of new knowledge-based ventures. UBIs are described as effective mechanisms for overcoming weaknesses of the more traditional public incubating institutions. They offer firms a range of university-related benefits, such as access to laboratories and equipment, to scientific and technological knowledge and to networks of key contacts, and the reputation that accrues from affiliation with a university. The empirical analysis is based on the Turin Polytechnic Incubator (TPI) and on case studies of six academic spin-offs hosted at TPI. While TPI does not effectively resolve such problems as inadequate access to funding capital and the lack of management and financial skills in its tenant companies, the networking capacity of incubating programmes is seen as a key characteristic that may help new knowledge-based ventures to overcome such difficulties.

scholarly journals Competing in Architecture. Crowdsourcing as a Research Tool

2013 ◽  
Vol 6 (4) ◽  
Author(s):  
Clare Newton ◽  
Sarah Backhouse
Keyword(s):  
Research Funding ◽  
Research Council ◽  
Academic Research ◽  
Research Process ◽  
School Buildings ◽  
Knowledge Based ◽  
Funding Body ◽  
New Knowledge ◽  
Competition Process ◽  
Architectural Competitions

Architectural competitions are powerful strategies for generating visual ideas for new futures. Academic research generates new knowledge based on rigorous investigations of informed propositions. This paper describes an unusual merging of a research process with a competition process using crowdsourcing to leverage knowledge. The Australian Research Council (ARC) is the pre-eminent funding body of academic research for universities across Australia. In 2010 a multidisciplinary academic team, with twelve industry partners including six education departments, successfully sought ARC research funding.  The application proposed an unprecedented strategy to include an open Ideas Competition in the middle year of a three-year research program as a form of crowdsourcing to leverage knowledge between academia and industry. The research project, entitled Future Proofing Schools, was focused on Australia’s relocatable school buildings.

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