Search results for: PRODUCT DEVELOPMENT, PRODUCT DESIGN, SET OF EXPERIENCE KNOWLEDGE STRUCTURE, DECISIONAL DNA, MATERIAL SELECTION PROCESS - Bridge of Knowledge

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Search results for: PRODUCT DEVELOPMENT, PRODUCT DESIGN, SET OF EXPERIENCE KNOWLEDGE STRUCTURE, DECISIONAL DNA, MATERIAL SELECTION PROCESS

  • Experience based decisional DNA to support smart product design

    Publication

    - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Year 2019

    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...

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  • Experience Based Decisional DNA (DDNA) to Support Sustainable Product Design

    Publication

    - Year 2018

    This paper presents the idea of providing engineering design knowledge to designers working on sustainable product design and development process. The new product development process often requires significant amount of design knowledge which can be saved and recalled by designers during the design process. This knowledge is very important for successful sustainable product development as it can include material selection, product...

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  • Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA

    Publication

    - Year 2018

    In this paper, we propose a framework to support product development activi-ties by utilizing Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This idea will provide a new direction to researchers working on product development, especially designers and manufacturers. They will be working on the same platform and this will be reducing their communication gap. Once the final idea is perceived about product...

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  • Experience-Based Decisional DNA (DDNA) to Support Product Development

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2018

    Knowledge and experience are important requirements for product development. The aim of this paper is to propose a systematic approach for industrial product development. This approach uses smart knowledge management system comprising of Set of Experience Knowledge Structure and Decisional DNA (DDNA) along with Virtual Engineering Tools (Virtual engineering object, Virtual engineering process, and Virtual engineering factory)....

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  • Support interlinking of design and process planning by set of experience knowledge structure and decisional DNA: Conceprual Approach

    Publication

    - Year 2012

    Koncepcja wspomagania planowania procesow p-rzy pomocy SOEKS oraz Decyzjnego DNA.

  • Set of Experience and Decisional DNA: Experience-Based Knowledge Structures

    Publication

    - Year 2020

    This chapter presents a description of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA), argumentation for a knowledge representation, composition, configuration and metrics. SOEKS is a combination of filtered and amalgamated information obtained from formal decision events. It facilitates effective explicit representation of decisional experience taken from different technologies. SOEKS comprises variables,...

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  • Emplying set of experience knowledge structure and decisional DNA to enhance industrial design: conceptual approach

    Publication

    - Year 2012

    Zaprezentowano koncepcje wspomagania projektowania przemyslowego przy pomocy nowoczenego podejscia do reprezentacji wiedzy w postaci SOEKS oraz Decyzyjnego DNA

  • Framework for Product Innovation Using SOEKS and Decisional DNA

    Publication

    - Year 2016

    Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA. The present paper proposes a framework for...

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  • Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA): Past, Present and Future

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2014

    This article reviews research work on set of experience knowledge structure (SOEKS)-decisional DNA (DDNA) done in the past, ongoing, and planned for the future. Firstly, the concept of the knowledge representation technique of SOEKS-DDNA is discussed, and then an attempt is made to organize the past research related with it in chronological order. This work focuses on the review on SOEKS-DDNA, its application in different domains,...

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  • Smart Innovation Engineering Using Set of Experience and Decisional DNA

    Publication

    - Year 2020

    Knowledge-based Engineering Systems are founded upon integration of knowledge into computer systems and are one of the core requirements for the future Industry 4.0. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Knowledge Engineering plays an important role in manufacturing industries facing...

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  • Gaining knowledge through experience: developing decisional DNA applications in robotics

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2010

    Omówiono nowatorskie podejscie do zastosowania wiedzy opartej na doświadczeniu i budowie decyzyjnego DNA w obszarach związanych z robotyką.In this article, we explore an approach that integrates Decisional DNA, a domain-independent, flexible, and standard knowledge representation structure, with robots in order to test the usability and suitability of this novel knowledge representation structure. Core issues in using this Decisional...

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  • Set of Experience and Decisional DNA: Toward Brains for Cyber-physical Systems and Industry of the Future

    Publication

    - Year 2015

    The concept of Decisional DNA is decade old. This article introduces the initial idea of Set of Experience Knowledge Structure, its advancement into Decisional DNA, and its potential for real life applications in divers domains. The most current and future research steps into Industry 4.0 are also presented and discussed

  • Implementing Smart Virtual Product Development (SVPD) to Support Product Manufacturing

    Publication

    - Year 2019

    This paper illustrates the concept of providing the manufacturing knowledge during early stages of product life cycle to experts working on product development. The aim of this research is to enable a more collaborative product development environment by using Smart Virtual Product Development (SVPD) system, which is powered by Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). It enhances the industrial product...

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  • Decisional DNA with embedded Relief-F linear regression for knowledge and experience management

    Publication

    - Year 2012

    Omowiono zastowania Decyzyjnego DNA, regresji liniowej oraz funkcji RELIEF-F w procesach formalnego modelowania i wspomagania zarzadzania wiedza oraz zarzadzania doswiadczeniem.

  • Smart Virtual Product Development (SVPD) System to Support Product Inspection Planning in Industry 4.0

    Publication

    - Procedia Computer Science - Year 2020

    This paper presents the idea of supporting product inspection planning process during the early stages of product life cycle for the experts working on product development. Aim of this research is to assist a collaborative product development process by using Smart Virtual Product Development (SVPD) system, which is based on Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). The proposed system is developed...

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  • Smart innovation process enhancement using SOEKS and decisional DNA

    Publication

    Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA (DDNA). The present paper proposes...

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  • Toward Smart Innovation Engineering: Decisional DNA-Based Conceptual Approach

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2016

    ABSTRACT Knowledge and experience are essential requirements for product innovation. The presented paper proposes a systematic approach for product innovation support using a Smart Knowledge Management System comprising a Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This proposed system is dynamic in nature because it updates itself every time a new decision related to innovation is made. Through this...

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  • Enhancing Product Manufacturing through Smart Virtual Product Development (SVPD) for Industry 4.0

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2020

    ABSTRACT This paper proposes the Smart Virtual Product Development (SVPD) system, which enhances the industrial product manufacturing processes. The proposed system comprises of three main modules: design knowledge management (DKM), manufacturing capability analysis and process planning (MCAPP), and product inspection planning (PIP). Smart virtual product development system collects, stores, and uses experiential knowledge from...

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  • Smart Innovation Management in Product Life Cycle

    Publication

    The present paper proposes a framework for smart innovation management of the product using a Smart Knowledge Management System comprising Set of Experience Knowledge Structure (SOEKS) and Decisional DNA. This proposed system will allow the entrepreneurs and organizations to perform the innovation process technically and quickly as this framework will store knowledge as well as experiences of the past innovations done in various...

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  • A Framework for Enhancing Supplier Selection Process by Using SOEKS and Decisional DNA

    Publication

    Abstract. Supplier selection process is one of the significant stages in supply chain management for industrial manufactured products. It plays an integral role in the success of any manufacturing organization and is an important part starting right from selecting raw material to dispatch of finished products. This paper contributes to enhance the supplier selection process by proposing a multi-criteria decision making framework...

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  • A Semiautomatic Experience-Based Tool for Solving Product Innovation Problem

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2017

    In this paper we present the idea of Smart Innovation Engineering (SIE) System and its implementation methodology. The SIE system is semi-automatic system that helps in carrying the process of product innovation. It collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected from the group of similar products having some common functions and features. The SIE system behaves like...

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  • Using Decisional DNA to Enhance Industrial and Manufacturing Design: Conceptual Approach

    Publication

    - Year 2013

    During recent years, manufacturing organizations are facing market changes such as the need for short product life cycles, technological advancement, intense pressure from competitors and the continuous customers’ expectation for high quality products at lower costs. In this scenario, knowledge and its associated engineering/management of every stage involved in the industrial design has become increasingly important for manufacturing...

  • Machine learning approach to packaging compatibility testing in the new product development process

    The paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new product development process. The main goal of the developed model is to reduce the risk of failure in compatibility tests which are preformed to ensure safety, durability, and efficacy of the finished product for the entire period of its shelf life and consumer use. This kind of testing...

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  • Enhancing Product Innovation Through Smart Innovation Engineering System

    Publication

    - Year 2017

    This paper illustrates the idea of Smart Innovation Engineering (SIE) System that helps in carrying the process of product innovation. The SIE system collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected from the set of similar products having some common functions and features. Due to the fact that SIE system collects, captures and reuses the experiential knowledge of all...

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  • Hazard Control in Industrial Environments: A Knowledge-Vision-Based Approach

    Publication

    This paper proposes the integration of image processing techniques (such as image segmentation, feature extraction and selection) and a knowledge representation approach in a framework for the development of an automatic system able to identify, in real time, unsafe activities in industrial environments. In this framework, the visual information (feature extraction) acquired from video-camera images and other context based gathered...

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  • Decisional-DNA-Based Digital Twin Implementation Architecture for Virtual Engineering Objects

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2024

    Digital twin (DT) is an enabling technology that integrates cyber and physical spaces. It is well-fitted for manufacturing setup since it can support digitalized assets and data analytics for product and process control. Conventional manufacturing setups are still widely used all around the world for the fabrication of large-scale production. This article proposes a general DT implementation architecture for engineering objects/artifacts...

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  • Smart Virtual Product Development (SVPD): Experience Based Product Development System for Industry 4.0

    Publication

    - Year 2020

    This chapter presents the concept of smart virtual product development (SVPD) system capable of supporting industrial product development. It enhances the decision making process during various activities involved in product development i.e. product design, manufacturing, and inspection planning. This is achieved by using the explicit knowledge of past formal decision events, which are captured, stored, and recalled in the form...

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  • A New Double Digestion Ligation Mediated Suppression PCR Method for Simultaneous Bacteria DNA-Typing and Confirmation of Species: An Acinetobacter sp. Model

    Publication

    We have designed a new ddLMS PCR (double digestion Ligation Mediated Suppression PCR) method based on restriction site polymorphism upstream from the specific target sequence for the simultaneous identification and differentiation of bacterial strains. The ddLMS PCR combines a simple PCR used for species or genus identification and the LM PCR strategy for strain differentiation. The bacterial identification is confirmed in the...

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  • Towards Experience-Based Smart Product Design for Industry 4.0

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2019

    This paper presents the concept of smart virtual product development (SVPD) system capable of supporting industrial product development process. It enhances the decision making process during different stages and activities involved in product development i.e. product design, manufacturing, and its inspection planning. The enhancement is achieved by using the explicit knowledge of formal past decision events, which are captured,...

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  • Criteria for evaluation and selection of the best offer for the Contract Engineer service

    The purpose of the legal regulations regarding public procurement in EU countries is to ensure effective funds' spending. When assessing and selecting the best offer, the contracting entities have at their disposal many different criteria, including non-price criteria. Their proper selection and application is necessary to ensure the high quality of the ordered product, delivery or service. Making an order for intellectual services,...

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  • Smart Virtual Product Development (SVPD) to Enhance Product Manufacturing in Industry 4.0

    Publication

    - Procedia Computer Science - Year 2019

    This paper presents a system capable of enhancing product development process for industrial manufactured products. This system is known as Smart Virtual Product Development (SVPD), and it helps in decision making by using explicit knowledge of formal decision events. It stores and reuses the past decisional events or sets of experiences related to different activities involved in industrial product development process i.e. product...

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  • Experience-Based Product Inspection Planning for Industry 4.0

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2021

    In this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main modules, these being the design knowledge management (DKM) module, the manufacturing capability and process planning (MCAPP) module, and the product inspection planning (PIP) module. Experiential knowledge relating to formal decisional events is collected,...

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  • Smart Virtual Product Development: Manufacturing Capability Analysis and Process Planning Module

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2022

    Smart Virtual Product Development (SVPD) system provides effective use of information, knowledge, and experience in industry during the process of product development in Industry 4.0 scenario. This system comprises of three primary modules, each of which has been developed to cater to a need for digital knowledge capture for smart manufacturing in the areas of product design, production planning, and inspection planning. Manufacturing...

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  • Implementing Virtual Engineering Objects (VEO) with the Set of Experience Knowledge Structure (SOEKS)

    Publication

    - Procedia Computer Science - Year 2014

    This paper illustrates the idea of Virtual Engineering Object (VEO) powered by Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). A VEO is the knowledge representation of an engineering object, having embodiment of all its associated knowledge and experience within it. Moreover, VEO is a specialization of Cyber-Physical System (CPS) in terms of that its extension in knowledge gathering and reuse, whereas CPS...

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  • ALLYING SYSTEM THINKING AND SET OF EXPERIENCE KNOWLEDGE STRUCTURE

    Publication

    The approach of system thinking is completely different from traditional forms of analysis. Even the ancient meaning of word analysis is “a breaking up”. Set of Experience Knowledge Structure is an atomic record of decision event that can be grouped together and form some form of decision DNA of an organization. The question that this paper is trying to answer in how those concepts can be merged.

  • Market knowledge and new product performance: the mediating effects of new product performance

    Market knowledge is recognised as an important predictor of new product performance, which existing studies have proven. However, a missing link in this relationship is creativity, and specifically, as a natural process in product innovation. This study aims to examine a model that includes two mediating mechanisms between market knowledge scope and two new product outcomes, respectively: a new product’s competitive advantage and...

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  • Overview of new product development strategies and models

    Publication

    - Catallaxy - Year 2023

    Motivation: The motivation for the overview presented in this article is to provide a starting point for considering whether existing new product development methodology and its level of detail allows product teams to develop high-quality and business-effective product concepts. Aim: The aim of this article is recognise the current state of research into new product development methodology and to present the strategies and models...

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  • Overview of new product development strategies and models

    Publication

    - Catallaxy - Year 2023

    Motivation: The motivation for the overview presented in this article is to provide a starting point for considering whether existing new product development methodology and its level of detail allows product teams to develop high-quality and business-effective product concepts. Aim: The aim of this article is recognise the current state of research into new product development methodology and to present the strategies...

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  • Developing an Ontology from Set of Experience KnowledgeStructure

    Publication

    - Year 2006

    When referring to knowledge forms,collecting for all decision eventsin a knowledge-explicit way becomes a significant ask for any company. Set of experience knowledge structure can assis in accomplishing this purpose.However,after collecting,distributing and sharing that knowledge as adecisional DNA is even a more important advance.Distributing and sharing companies' decisional DNA through an efficient development of Ontologies...

  • Experience-based Intelligence Augmentation with Decisional DNA: Upcoming direction

    Publication

    - Year 2022

    Intelligence amplification systems and technologies have gained significant interest from academia and industry during the past few decades. One of the main reasons behind this trend is the fact that most experts agree that truly intelligent artificial system is yet to be developed. The question increasing often asked is this: Is full replication of human intelligence desirable key aim in intelligence related technology and research?...

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  • Decisional DNA based intelligent knowledge model for flexible manufacturing system

    Publication

    - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Year 2019

    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...

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  • Process layout planning and optimised product range selection in manufacture of wooden construction sets

    Publication

    - Maderas-Ciencia y Tecnologia - Year 2019

    This paper introduces a systematic deterministic framework for planning and the analysis of facility layouts aimed at manufacturing a variety of parts, as components of specific end products. The essence of the proposed approach lies in the decomposition of a traditional job-shop into layout modules of generic material flow patterns, that inherently yields improved efficiency of the entire system. It entails the use of a relevant...

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  • Pozytywne doświadczenia zakupowe w kreowaniu lojalności nabywczej

    Publication

    Doświadczenie zakupowe to rodzaj mentalnej podróży, pozostawiającej niematerialne wrażenia, w postaci wiedzy i śladu emocjonalnego [69], będące kluczowym elementem w zrozumieniu zachowań konsumentów, jak również istotnych zmian zachodzących we współczesnym marketingu [10]. Cel: Celem głównym badań było ukazanie wpływu pozytywnych doświadczeń zakupowych na kształtowanie satysfakcji i lojalności nabywczej oraz sposobów budowania...

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  • Prediction based on integration of Decisional DNA and a feature selection algorithm Relief-F

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2013

    The paper presents prediction model based on Decisional DNA and Set of experienced integrated with Relief_F algorithm for feature selection

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  • Viability of decisional DNA in robotics

    Publication

    - Procedia Computer Science - Year 2014

    The Decisional DNA is an artificial intelligence system that uses prior experiences to shape future decisions. Decisional DNA is written in the Set Of Experience Knowledge Structure (SOEKS) and is capable of capturing and reusing a broad range of data. Decisional DNA has been implemented in several fields including Alzheimer’s diagnosis, geothermal energy and smart TV. Decisional DNA is well suited to use in robotics due to the...

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  • Decisional DNA and Optimization Problem

    Publication

    - Year 2013

    Many researchers have proved that Decisional DNA (DDNA) and Set of Experience Knowledge Structure (SOEKS or SOE) is a technology capable of gathering information and converting it into knowledge to help decision-makers to make precise decisions in many ways. These techniques have a feature to combine with different tools, such as data mining techniques and web crawlers, helping organization collect information from different sources...

  • ALIS-FLP: amplified ligation selected fragment-length polymorphism method for microbial genotyping

    A DNA fingerprinting method known as ALIS-FLP (amplified ligation selected fragment-length polymorphism) has been developed for selective and specific amplification of restriction fragments from TspRI restriction endonuclease digested genomic DNA. The method is similar to AFLP, but differs in that only one specific restriction enzyme (TspRI) is used. The cohesive ends of the DNA fragments are ligated with two types of oligonucleotide....

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  • NEW PRODUCT DEVELOPMENT FROM THE PERSPECTIVE OF CREATING A COMPETITIVE ADVANTAGE

    It is acknowledged that achieving product-based competitive advantage is a key task for a company. However, there is still a research gap in determining those specific actions in the process of developing new products that arise from companies' efforts to achieve product-based competitive advantage. Therefore, the aim of this study is to determine the specific actions in the new product development (NPD) process that result from...

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  • Smart Embedded Systems with Decisional DNA Knowledge Representation

    Publication

    - Year 2020

    Embedded systems have been in use since the 1970s. For most of their history embedded systems were seen simply as small computers designed to accomplish one or a few dedicated functions; and they were usually working under limited resources i.e. limited computing power, limited memories, and limited energy sources. As such, embedded systems have not drawn much attention from researchers, especially from those in the artificial...

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  • Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory

    Publication

    - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Year 2017

    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...

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