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Search results for: SMART INNOVATION ENGINEERING PRODUCT INNOVATION PRODUCT DESIGN SET OF EXPERIENCE DECISIONAL DNA

  • 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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  • 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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  • Smart Innovation Engineering (SIE): Experience-Based Product Innovation System for Industry 4.0

    Publication

    This paper presents a semi-automatic system capable of facilitating product innovation process. This system, known as Smart Innovation Engineering (SIE) system, helps in decision-making by using the explicit knowledge of formal decision events. The SIE system carries the promise to support the innovation processes of manufactured products in a quick and efficient way. It stores and reuses the past decisional events or sets of experiences...

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  • 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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  • 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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  • Smart Innovation Engineering System - A Tool for Facilitating Product Innovation Process

    For the survival and prosperity of the manufacturing unit, entrepreneurs need to find out new ideas that can be implemented in the products leading to innovation. The current study employs a systematic approach for product innovation. In this approach past experiences based on innovation decisions are stored and recalled during the innovation problem solving process. Implementing this system in the process of product innovation...

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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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  • 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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  • 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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  • 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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  • 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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  • Modular Experience-Based Smart Innovation Engineering System

    Publication

    The current paper presents the systematic approach for supporting the product innovation process of manufactured products. The proposed system uses a collective, team-like knowledge developed by innovation related experiences of the formal decisional events. The proposed system for smart innovation engineering carries the promise to support the innovation processes in a quick and efficient way. It stores the past decisional events...

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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 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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  • Smart Innovation Engineering: Toward Intelligent Industries of the Future

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2018

    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. This paper presents a system called Smart Innovation Engineering (SIE) capable of facilitating product innovation process semi-automatically. It enhances decision-making processes by using the explicit knowledge of formal decision events. The SIE system carries the...

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  • 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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  • 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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  • 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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  • 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...

  • 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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  • Embedded system using Bluetooth Low Energy sensors for smart farming applications

    Publication
    • A. Dworzańska
    • J. Komińczyk

    - Year 2020

    The main goal of this Bachelor of Engineering project titled Embedded system using Bluetooth Low Energy sensors for smart farming applications is to create a prototype of a system consistent with Agriculture 4.0 concept using Bluetooth Low Energy (BLE) technology. Developed solution shall be easy in implementation and its main functionality shall be periodic gathering of data from environmental sensors...

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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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  • Establishing intelligent enterprise through community of practice for product innovation

    Publication

    - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Year 2019

    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...

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  • Community of Practice for Product Innovation Towards the Establishment of Industry 4.0

    Publication

    - Year 2018

    The aim of this paper is to present the necessity of formulating the Community of Practice for Product Innovation process based on Cyber-Physical Production Systems towards the establishment of Industry 4.0. At this developing phase of Industry 4.0, there is a need to define a clear and more realistic approach for implementation process of Cyber-Physical Production Systems in manufacturing industries. Today Knowledge Management...

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  • 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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  • 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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  • 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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  • 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

  • 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 experience engineering to support collaborative design problems based on constraints modelling

    Publication

    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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  • Innovation by proxy – clusters as ecosystems facilitating open innovation

    Open innovation is a concept, whose attributes can be perceived as naturally complementing the proximity-based offer of clusters. The purpose of this paper is to investigate the potential role of clusters as intermediaries of open innovation for cluster members. A literature review and an exploratory study were performed, involving in-depth interviews with experts in the field of innovation and clusters in Poland. This article...

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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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  • The Decisional DNA-Based Smart Bike for Internet of Things

    Publication

    - Year 2014

    In this paper, we introduce a novel application of the Internet of Things, the Decisional DNAbased Smart Bike. The Decisional DNA is a domain-independent, flexible and standard knowledge representation structure; it allows its domains to acquire and store experiential knowledge and formal decision events in an explicit way. By using Decisional DNA, the sensor-equipped bicycle is able to learn its user’s weight, riding habits, etc....

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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

  • Decisional-DNA Based Smart Production Performance Analysis Model

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2019

    n order to allocate resources effectively according to the production plan and to reduce disturbances, a framework for smart production performance analysis is proposed in this article. Decisional DNA based knowledge models of engineering objects, processes and factory are developed within the proposed framework. These models are the virtual representation of manufacturing resources, and with help of Internet of Things, are capable...

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  • Decisional DNA based framework for representing Virtual Engineering Objects

    Publication

    - Year 2014

    In this paper, we propose a frame-work to represent the Virtual Engineering Objects (VEO) utilizing Set of Knowledge Experience Structure (SOEKS) and Decisional DNA. A VEO will enable the discovery of new knowledge in a manufacturing unit and the generation of new rules that drive reasoning. The proposed VEO framework will not only be knowledge based representation but it will also have its associated experience embedded within...

  • 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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  • 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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  • 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.

  • Smart Decisional DNA Technology to Enhance Industry 4.0 Environment in Conjunction with Conventional Manufacturing

    Publication

    - Year 2020

    Knowledge-based support has become an indispensable part not only to the traditional manufacturing set-ups but also to the new fast-emerging Industry 4.0 scenario. In this regard, successful research has been performed and extensively reported to develop Decisional DNA based knowledge representation models of engineering object and engineering process called Virtual engineering object (VEO), Virtual engineering process (VEP) and...

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  • Systematic Assessment of Product Quality

    The article describes an innovative metrizable idea for systemic assessments of product quality within the baking industry. Complex product quality analysis requires the employment of metrizability criteria for factors that impact the quality of the product, and these are called determinants. Therefore, such analysis is only possible with the use of systems engineering. A system represents the potential of a manufacturing process,...

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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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  • CSR and innovation or CSR as non-technological innovation

    Publication

    - Year 2022

    This chapter investigates the relationship between Corporate Social Responsibility (CSR) and innovation process. There is an ongoing discussion in the literature regarding this relationship, in particular on its one- or bidirectional nature and possible antecedents or mediating factors. This research addresses this gap and aims to provide more conceptual clarity and synthesize the different types of relationships between CSR 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...

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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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  • 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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  • 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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  • 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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  • Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2015

    In this article we propose the concept, its framework, and implementation methodology for Virtual Engineering Objects (VEO). A VEO is the knowledge representation of an engineering object that embodies its associated knowledge and experience. A VEO is capable of adding, storing, improving, and sharing knowledge through experience. Moreover, it is demonstrated that VEO is a specialization of a Cyber-Physical System (CPS). In this...

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  • 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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