(Field of Science):
- Automation, electronic and electrical engineering (Engineering and Technology)
- Information and communication technology (Engineering and Technology)
- Biomedical engineering (Engineering and Technology)
- Civil engineering and transport (Engineering and Technology)
- Mechanical engineering (Engineering and Technology)
- Environmental engineering, mining and energy (Engineering and Technology)
- Economics and finance (Social studies)
- Management and quality studies (Social studies)
- Education (Social studies)
- Computer and information sciences (Natural sciences)
Ministry points: Help
|2020||70||Ministry Scored Journals List 2019|
|2019||70||Ministry Scored Journals List 2019|
- author's version of the article before the review
- author's version of the article after the review
Status table SHERPA RoMEO
|RoMEO color||Archiving policy|
|Green||can archive pre-prints and post-prints or a version of the publisher|
|Blue||can archive post-prints|
|Yellow||can archive pre-prints|
|White||can not archive any materials|
Papers published in journal
This article presents a survey on the use of KREM, a generic knowledge-based framework for building collective intelligence through experience. After a discussion on the disadvantages of the traditional architecture used to deploy intelligent systems, the KREM architecture (Knowledge, Rules, Experience, Meta-Knowledge) is presented. The novelty of the proposal comes from the inclusion of the capitalisation of experience and the...
In this paper, an algorithm for automatic brain activity class identification of EEG (electroencephalographic) signals is presented. EEG signals are gathered from seventeen subjects performing one of the three tasks: resting, watching a music video and playing a simple logic game. The methodology applied consists of several steps, namely: signal acquisition, signal processing utilizing z-score normalization, parametrization and...
Modeling an effective mechanism for design and control strategies for the implementation of a flexible manufacturing system (FMS) has been a challenge. Consequently, to overcome this issue various techniques have applied in the past but most of these models are effective only for some specific situation or an element of FMS. In this study, the knowledge representation technique of Decisional DNA (DDNA) is applied to FMS to develop...
This paper presents the idea of implementing the virtual Community of Practice for Product Innovation processes towards the establishment of intelligent enterprise. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Engineering plays an important role in manufacturing industries facing global...
This paper presents the idea of Smart Virtual Product Development (SVPD) system to support product design. The foundations of the system are based upon smart knowledge management techniques called Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). It enhances the industrial product development process by using the previous experiential knowledge gathered from the formal decisional activities. This experiential...
Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factoryPublication
Engineering collective intelligence is paramount in current industrial times. This research proposes and presents case studies for collective knowledge structures required in the industry field. Knowledge structures such as Set of Experience and Decisional DNA are extended into more advanced knowledge structures for manufacturing processes. These structures are called Virtual Engineering Object, Virtual Engineering Process and...
In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a fundamental field that dedicates to representing information about the world in a form that computer systems can utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed to support discovering, storing, reusing,...
Smart experience engineering to support collaborative design problems based on constraints modellingPublication
Engineering design is a knowledge intensive process. Experts' experiences from different product life-cycle stages play a key role in problem solving during design decision making by linking up knowledge to find better solutions for a specific design problem. Different approaches have been used to support Collaborative and Concurrent Product Design, such as Constraint Satisfaction Problem (CSP) modelling. Additionally, due to the...
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