Dynamically emerging application of highly automated systems in many areas of our life increasingly needs task specific advanced model-simulation representations, model-based communications, cyber-physical controls, learning algorithms, and other engineering related solution elements in highly integrated environments where communication is established between model representations. In this way, model driving, and control are fully integrated in the innovation cycle from the idea to product support. This paper proposes and introduces a novel method for this integration aiming at a solution capable of theory, methodology, practice, and experience representations in the same model. The method follows the idea of three paradigm innovation where theoretical and experimental research and development are controlled by executable reactive model. Highly integrated, reactive, autonomous, and system representation eligible model is supposed and supported. Implementation of the proposed method applies high level modeling, realistic simulation, communication, and collaboration platform to provide theoretically grounded, methodologically up to date, and industrially eligible models for wide thematical area including integrated medical engineering solutions. Reactive and autonomous model requires intelligent computing and knowledge engineering intensive solutions for innovations in increasingly autonomous industrial and commercial products and other structures. Because communications in the proposed integration are established between model entities, natural language processing is required to learn written and spoken human inputs for model communication. Main issues in this paper are scenario of the software integration, elements and structure of the proposed solution, parameter relational features, collaborative data management, relevant machine learning models, impact, and implementation.

This paper is about a special configuration of engineering model and modeling platform for model development that serves widely connected research in applied informatics considering demands by highly automated achievements. Initiative for this special application of engineering modeling platform was motivated by engineering purposed software development towards reactive, autonomous, and widely contextual solutions to accommodate tasks in extending variety of integrated issues. After characterizing the multiphysical way of multidisciplinary model powered engineering research, this paper introduces novel model mediated scenario in which research specific engineering software related activities are placed with the emphasis on flexible model and software configuration considering composition of complex multidisciplinary solutions for multiphysical engineering representations and simulations those are extended to human organ and other bioinspired issues. Additional contributions in this paper are about capabilities of reactive autonomous models, extended representation of behaviors, and novel experimental model for research in applied informatics. Finally, application of the above experimental model in research using scientifically renewable world level engineering modeling platform at the Virtual Research Laboratory, and evaluation and advantages of the proposed research are introduced.

Theories, methodologies, practices, and software for problem solving by model definition, analysis and simulation, and communication were essentially developed in engineering during the past decades. This paper first gives an analysis of the above main advances which are tied to paradigm shifts and essential for PhD and other engineering related research programs. Following this, scenario of a proposed new style of research is introduced. This research is relied upon methods and software tools offered by high end engineering modeling platform. Another main contribution in this paper is full research in a purposefully configured autonomous and reactive research centered experimental model (RCEM) which is continuously developed during the life cycle of research. RCEM collects and organizes model and simulation representations which accommodate results of the research. Research process is also controlled by contexts from industrial and other application environments. Essential representations in RCEM are behaviors to achieve active knowledge and intelligent computing intensive solution. New concentration area is model representation for medical problem related solutions in this paper. Virtual Research Laboratory (VRL) was founded to realize globally participated collaborative space organized high level PhD research on the cloud utilizing world level engineering modeling platform. Communication with other collaborative spaces and outside world sources and controls is also a main concern. Implementation and initial application of the results in this paper is done at the VRL.

Work in this paper is based on the recognition that PhD and other university research can be realized on a suitably configured multidisciplinary and multiphysical engineering platform. For this purpose, the Virtual Research Laboratory (VRL) was founded at the Doctoral School of Applied Informatics and Applied Mathematics (DSAIAM, Óbuda University). This paper introduced several key issues in concept and methodology which were developed to realize full research program in collaborative space configured on engineering platform. It starts with organized explanation about recent relevant developing strategies in engineering modeling as preliminaries of work for VRL. The next issue is introduction of specifics for research which proceeds in collaborative space on engineering platform. Following this issue, experimental model is characterized which is developed during research in collaborative space. Finally, realization of experimental model as advanced media on engineering platform is outlined. Wide choice of advanced industrial modeling and simulation as well as project organization and management capabilities offered by world level platform of VRL are utilized at enhanced scientific research bringing industry and university research closer and at the same time realizing high level digital transformation.

This paper is a contribution to concepts and methodologies of context definition in Engineering Model System (EMS). Change for contextual modeling was important paradigm shift in engineering at beginning of this new century. By now, EMS is a very complex model because it is required to serve all engineering activities during lifecycle of an engineering achievement (EA). In an EMS, the structure of contexts serves integration as glue. An EA is the objective of an engineering program and generally is an industrial or commercial product. Four new concepts and methods were introduced during the work for this paper with the requirement of their integration in EMS namely the Integrated Lifecycle Engineering (ILE), the Integrated Autonomous Model System (IAMS), the Reactive Context Structure (RCS), and the Integrated Research Project (IRP). ILE organizes research intensive engineering activities to support connection between essential engineering and relevant modeling software platform (MPS) activities. ILE includes fundamental and problem solving research in new context. IAMS is based on formerly published EMS concepts and includes new specifics. In the center of IAMS, enhanced structure of context definitions and their organization constitute glue in the demanded complex model. IAMS is characterized as an enhanced media for engineering communication. RCS serves as integrated unit of IAMS to enhance context driven reactive communication. In this way, IAMS includes two ways reactive context driven connection between IAMS and the physically operated Cyber Physical Biological System (CPBS) it represents. IAMS serves as digital twin of CPBS. The above new concepts and methods are suitable to develop as user defined components in EMS using MPS resources. IRP is introduced as a specific integrated application of ILE, IAMS, and RCS, concentrating on PhD student research specifics.

Engineering software platform supports engineering activities in continuously widening disciplinary area of complex systems operated industrial and commercial products and other engineering achievements. Engineering activities increasingly include research extending the conventional product lifecycle engineering to the whole innovation cycle. Comprehensive engineering platform comprises wide range of integrated software solutions to manage complex model systems to represent situation controlled autonomous products and offers all software solutions necessary for the integrated innovation and life cycle. By now, engineering platforms are amongst the largest and most complex applications of advanced software. This paper reports recent contributions to concept and methodology of research integration representations for engineering model systems using research capabilities of engineering platform. First, concept on model organized research project (MORP) is introduced. MORP is a new model system based concept of research project which is managed using capabilities of software organized in these platforms. MORP relies on the formerly defined concept of model mediated research (MMR) which is extended to research in situation control of autonomous functions of the represented systems operated engineering achievements recognizing that situation control reorganizes engineering related research to a great extent. Following this, connection of MORP with software which provides situation based control for physical execution in cyber physical system (CPS) is analyzed and discussed. The MMR based MORP is about pilot projecting at the recently established virtual research laboratory (VRL) at the Doctoral School of Applied Informatics and Applied Mathematics (DSAIAM) at the Óbuda University.

Engineering modeling software systems have been developed during a long integration process from separated partial solutions to current modeling software platforms (MSPs). MSP is expected to provide all necessary model creation and application capabilities during integrated innovation and the life cycle of commercial and industrial products (CIP). Recently, advanced CIP is operated by component systems organized within an increasingly autonomous cyber physical system (CPS). CIP is represented by the engineering model system (EMS). EMS is driven by active contexts between the outside world and EMS, between component models of EMS, and between objects in a component model. EMS reacts to any new contribution using all formerly represented contexts. Consistent structure of contexts gives autonomous operation capability for EMS. Active contexts between the outside world and EMS make EMS sensitive to outside world changes. In the other direction, EMS can generate advice for the outside world using high level and well-organized active knowledge as context. Contributing to research in key issues around EMS and the relevant software technology, this paper introduces results in requirements against MSP capabilities to represent intelligent driving content (IDC) in EMS. A novel organized structure of IDC and continuous engineering (CE) aspects of IDC development are explained and discussed placing the main emphasis on situation awareness. Finally, a new concept is introduced in which purposeful EMS acts as the only media in communication of researchers. Specially configured MSP facilitates participation from industrial, institutional, and academic organizations. The research proceeds at the Laboratory of Intelligent Engineering Systems (IESL) in the organization of the Óbuda University.

This paper is about concepts and methods in smart modeling for cyber physical system (CPS) as new results at the Laboratory of Intelligent Engineering Systems, Óbuda university. Its main contribution is novel CPS specific driving content model (DCM) which is generic active system level organized intelligent property and is suitable to drive object parameters in system level model of virtual and in cyber units of physically operating CPS. DCM is planned to contextually integrate with CPS model, and it is aimed to serve CPS for innovation and life cycle. In this way, it collects and actualize driving content for these periods. DCM concept supports planning of experiments and definition of contextual simulation structure. In this paper, comprehensive CPS scenario is followed by introduction and discussion of multilevel structure and outer and inner contexts of DCM, two-way connection between DCM and cyber units of CPS, contribution to theoretically grounded and experience proven decisions, and issues of implementation DCM in industrial engineering modeling platform.

Systems operated complex engineering structure (ES) constituting smart industrial or commercial product, prototype, or experimental configuration requires new way in model-based engineering. New style of engineering model system (EMS) is developed and applied in the course of continuous engineering to achieve system level, generic, and contextual model object structure which is in possession of self-modification capability to change itself for changed inside and outside context. Comprehensive software platform provides modeling capabilities during the whole innovation and life cycle of ES in industries engaged with smart products and production. Introducing work in engineering modeling for smart ES this paper focuses on the problem of multiple context driving of model object. The purpose of the reported work is to develop concept and methodology in intellectual driving structure for objects included in EMS and in cyber units of cyber physical systems. Paper starts with a scenario of multiple outside and inside context driving of object parameters and an outline of multiple context driven EMS. Following this, general process for managing contextual object structure of EMS which represents an ES is introduced. Main contributions in this paper are structured model of driving smart content (DSC) to drive objects in EMS and development of DSC as extension for EMS considering appropriate engineering platform. Finally, role of DSC and issues at its implementation are concluded considering the 3DEXPERIENCE platform by the company Dassault Systémes as cloud-based laboratory background at the Laboratory of Intelligent Engineering Systems, Óbuda University.

Essential change of industrial products was their development towards cyber physical system (CPS) during the past decade. Model of these complex multidisciplinary product structures required completing the conventional physical level with system levels. At the same time, higher-level engineering for CPS demanded completing the usual engineering processes by research activities. By now, generic self-adaptive engineering model system can serve all activities during innovation and life cycles of industrial products to fulfill the above new requirements. The Laboratory of Intelligent Engineering Systems at Óbuda University recognized importance of engineering model system for CPS. One of the main research issues at this laboratory is replacing the increasingly complex interactive model entity definition by knowledge drive using reusable knowledge accumulated in intellectual property of a project, a company or an institution. For this purpose, new structure of driving knowledge content was proposed as integrated part of engineering model system. This paper introduces rearranged and redefined content structure to serve system-based engineering model of CPS and driving contexts with cyber units of CPS. Results is placed in the concept of lifecycle cyber physical system of systems (LCPSoS). Multilayer structures are proposed for driving contexts which come from outside of engineering model system.

Contextually integrated system level active model system replaces conventional passive and slightly integrated physical level model as computer representation of industrial product or other engineering structure in these years. Recent leading industrial modeling systems have advanced capabilities such as representation cooperating systems which operate cyber physical system (CPS) and deep knowledge driven self-modification of model system for changed outside and inside contexts. As contribution to research efforts in this area this paper reports research results in representation of full featured organized driving knowledge and information to raise object definition into higher level in engineering model system of CPS. This organized intelligent content is configured among others to establish connection between virtually represented and physically existing CPSs. To prepare this work, new extended model of cyber physical system was defined and analyzed. Extension included cyber units of physically existing CPS product and CPS which was applied at manufacturing of this product. The organized driving knowledge was defined as new unit of industrially proven model system. It was called as Intelligent Knowledge Content and had capabilities to drive contextual object parameters in model system. Intelligent Knowledge Content is organized in multilevel structure with substructures in each level. Formerly published content structure was restructured and extended by new substructures to accommodate content for cooperating systems in CPS and to establish connection with CPS cyber units. The reported work is highly based on recent industrial engineering modeling and model systems where active knowledge is theoretically grounded, and experience proven. Finally, this paper outlines the concept of mixed area engineering project to integrate representations for industrial engineering, engineering research, and higher education in engineering in the same model system.

Recently, advanced engineering modeling serves representation of emerging multidisciplinary cyber-physical (CPS) product systems. Multidisciplinary modeling requires functional-logical level while CPS demands system level product model. In functional-logical structure, behavior representation assures concept level virtual execution of the model. Product development purpose of model is extended to support of CPS product operation. Emerging knowledge driven engineering will increasingly require organized intelligent property (IP) in the future. Using former own research results, this paper introduces a novel concept and methodology for active knowledge support the above purposes of product model by information content (IC) driving of product representation and cyber CPS unit entities. IC is formerly defined as purposeful organized and personalized knowledge in the background of decision on product information. Main contributions of the reported work are new active information content (AIC) structure to establish CPS enabled IC and new multilevel transfer structure to connect AIC to various organized IP environments. After discussion of relevant cyber-physical and product model characteristics and features, the proposed scenario of active IC driving and relevant system of driving contextual connections are explained and discussed. Following this, IP entity transfer structure is proposed to communicate IC with AIC structure. Implementation of results is planned in host industrial professional modeling system.

Concept model is needed to represent multidisciplinary product system in recent advanced industrial product engineering. This paper is novel methodological contribution to intelligent driving of functional and logical components in system concept model of industrial product. Enhanced representation and handling of objects in requirements, functional, logical, and physical (RFLP) structured engineering model is introduced. The IEEE standardized RFLP structure integrates systems engineering (SE) methodology with physical level product modeling. The proposed method relies upon driving entities in RFLP enabled engineering model using intelligent content representation. It supposes application of configuration and extension purposed user software development capabilities within the functionality of host engineering system at implementation. Research for the proposed driving method utilized former own research results in product model related issues such as integration, high level abstraction, intelligent content definition, and human intent representation. Method is suitable for industrial, concept, or experimental product. In this paper, main elements of the contribution are structure of driving content in the background of RFLP structure represented product information, communication of content at model object driving, and means for connection between parameters of elements in the proposed model extension and in the functional and logical components of RFLP structured product model. More issues in this paper are about connection between virtual and cyber-physical product environments and application of knowledge from organized intellectual property (IP) sources at content background.

Representation of cooperating systems in recent products and collecting organized engineering knowledge in organizational intellectual property are currently actual issues on the long way of engineering model integration. Engineering model with those representations inherently includes components from various discipline areas in a single structure and recently uses requirements, functional, logical, and physical (RFLP) structure from systems engineering. Laboratory of Intelligent Engineering Systems at the Óbuda University was founded for research in high abstraction based modeling and published five leveled abstraction and its application in the initiatives, behavior, context, and action (IBCA) contextual content structure. IBCA structure was developed among others for content based driving of components and elements in RFLP structure. In this paper, recent research results are introduced in consideration of intellectual property and system level product representation at restructuring of the IBCA structure. After placing the proposed modeling in its environment, the formerly proposed abstraction and content driving structures are discussed. Following this, new content conform intelligent property view is proposed and the restructured IBCA structure is introduced and discussed. Finally, concept of future implementation in a host industrial professional engineering system with RFLP structured product model is outlined.

Latest development in model based engineering methods and modeling environments placed one of the main emphases on representation of multidisciplinary product system. For that reason, discipline specific modeling procedures and model representations are being integrated. One of the largest software applications was emerged concentrating product engineering related problem solving and applying most advanced software engineering methodology. As contribution to research in this area, this paper introduces new approach to intellectual content driven context structure for driving generation process for elements of requirements, functional, logical, and physical (RFLP) structured generic engineering model. The formerly developed initiative, behavior, con-text, and action (IBCA) driving content structure and its processing procedures were revised and extended for this purpose. The new approach supposes R, F, L, and P levels in engineering model, intellectual property (IP) type knowledge accumulation and reuse, and virtually executable structure of global product level contextual simulations. Industrial engineering system is required as implementation environment which is able to organize and manage engineering models for lifecycle of product. This paper starts with discussion of relevant structural elements and features of engineering model which can accommodate the proposed approach based engineering model components. Following this, need for the proposed extended and restructured IBCA structure and the new approach to content based driving of contextual engineering model elements (components) are explained. Rest of paper introduces issues about the new IBCA content structure and concept considering its implementation in industrial product engineering environment.

Organization of product information in requirements, functional, logical, and physical (RFLP) model structure is recent result on the long way from conventional documents to comprehensive and consistent virtual environments in engineering. Recent virtual engineering environments utilize generic product model which is self adaptive in order to assure its automatic instantiation in case of changed circumstances and events. The RFLP structure applies known ideas from requirements engineering (RE) and systems (SE) engineering and provides high level abstraction for multidisciplinary definition of product concepts and features. At the same time, advanced features of RFLP structured product model allows for wide applications including fundamental and product related research and development from small experiments on few objects to definition of complete products. Actual problem is to replace the current human dialogue based RFLP structure element definition by multiple human requests driven RFLP structure element generation. As a contribution to solve this problem, paper introduces the request, behavior, and actions (RBA) knowledge content structure. RBA structure was tailored in accordance with knowledge demand at RFLP structure element generation and assured consideration of human intent through contextual chain of content elements from content dialogue or import to RFLP element generation. RBA structure concentrates on modeling of request content driven product behavior. Functional, logical and physical product structures are driven by behavior definitions. RBA structure is recent result at the Laboratory of Intelligent Engineering Systems (LIES, Óbuda University).

Strong demand for definition of multidisciplinary products in virtual engineering environments enforced development of product models towards higher level of abstraction in product lifecycle management (PLM) systems. In order to achieve this, the requirement, functional, logical, and physical (RFLP) structure was included in leading industrial product models. Modeling of product in RFLP structure extended product related problem solving by systems engineering (SE) methodology. This change was grounded by the application of active knowledge (AK) features in feature driven product models. Modeling by AK features established knowledge control at the generation of product component and structure (PCS) features. In this changed scenario, new challenge is development of knowledge driven procedures for the generation of RFLP structure elements. Current leading PLM systems provide dialogues for RFLP element definition and means for including procedures and knowledge for the generation of these elements. Knowledge is product, company, project, and engineer specific and constitutes intellectual property (IP) at companies. Consequently, it should be defined at application environment. The Laboratory of Intelligent Engineering Systems (LIES) joined to the research in abstraction concepts and RFLP element generation methods and widely published the results. This paper introduces a new method for the knowledge communication between human definition and generation of R, F, L, and P elements. This method is based on an abstraction concept which was developed and published at the LIES. It applies the new initiative, behavior, context, and action (IBCA) structure in order to realize a new abstraction which allows for development of knowledge representation of procedures for RFLP element generation. IBCA structure elements and their connections fill the gap between engineer requirement and associated knowledge definition and elements of RFLP structure.

Engineering modeling for lifecycle management of product information is challenged with the new demand for representation of multidisciplinary product in a single complex model system. Leading developers of product lifecycle management (PLM) systems recognized the need for conceptual modeling of industrial products in higher abstraction level than the classical physical level representation of product and related objects. They turned to PLM models which use representation of product in the requirement, functional, logical, and physical (RFLP) structure. This means introduction of systems engineering (SE) methodology in PLM modeling providing user surface for the definition of R, L, F, and P elements and their connections. It was recognized that definition of elements by engineers is very complex work and needs automation by user defined and integrated procedures. Development of these procedures for the new abstraction levels needs new research results in the PLM modeling methodology. After early recognition of the need for higher level abstraction in product modeling, the Laboratory of Intelligent Engineering Systems (LIES) at the Óbuda University, Budapest, developed five level abstraction model which allowed high level representation of knowledge for decisions at conceptual product development. This knowledge content based abstraction model was utilized at development of the initiative, behavior, context, and action (IBCA) structure. The IBCA structure includes knowledge represented entities for the generation of elements in RFLP structure. This paper introduces the RFLP structure based self adaptive PLM model, its relations to the conventional product modeling, the IBCA structure, and application of the IBCA structure at RFLP element generation. Finally, importance of the proposed method and feasibility of its implementation are discussed.

One of the most dynamically developed areas of the research in engineering is definition and application of knowledge in product model. Product model is in the centre of product lifecycle management systems to support engineering activities with comprehensive representation of product information. Recently, knowledge is defined in the form of active features in the product model. When an active knowledge feature or value of its parameter changes, other feature parameters those are in contextual connection with it change according to its content. In this paper, a new modeling method is introduced to elevate active knowledge from the product feature level to the product behavior level. This allows for coordination of product definition on the behavior level. Result of a recent study on the currently applied product definition is utilized at the establishment of a connection between the proposed higher level knowledge features and the currently used active knowledge features. In the proposed modeling method, result of human intent analysis is applied at situation based generation of features in the product structure. The new method of product feature definition and the demanded new features are explained in this paper. In order to easy implementation of the proposed modeling in large modeling systems, the method of the feature driven product definition is the same as in the current leading industrial product lifecycle management systems.

In engineering, self-adaptive product model provides a medium which is in the possession of the capability to accommodate any knowledge for autonomous actions to modify product representations in case of any changed circumstance. In current advanced product models, knowledge defines relationships among feature parameters in order to automatic modification of the model for new situations and events. In this way rules, formulas, algorithms, and other knowledge features give self-adaptive characteristic to product model for design parameter driven self modification and reconfiguration. Generally, new instances are created from a generic model. Changes are propagated across the product model by contextual connections of feature parameters. Development of self adaptive product model needs new methods for decision assistance during lifecycle of the product. This paper introduces a research which is aimed to contribute to this effort by extension of the direct feature parameter control knowledge towards higher level representations. The proposed modeling applies higher level knowledge for the definition of relationship between product objectives and feature parameters. Objective covers product function which is supported by specification and knowledge driven method in order to control product feature generation. Any objective change initiates appropriate changes of the self adaptive product model. In order to achieve this, contextual chain is established between objective and the related affected feature parameters in the product model. The proposed method is a contribution to efforts to achieve aimed physical product behaviors using more sophisticated virtual prototype of product.

Product lifecycle management (PLM) systems have been gained application at leading areas of industry. By now, they integrate all engineering activities. Product definition in these systems relies upon advanced object modeling and virtual prototyping. However, large models with thousands of strongly related objects brought new problem of thinking and seeing in extensive information structures. New methods are demanded mainly to establish better organized knowledge based parallel interactions by high number of engineers. Fortunately, recent developments in product modeling introduced rules, reactions, function structures, and other active knowledge carriers in product models in order to establish situation and event based product definition. These techniques serve storage and repeated application of engineering knowledge and offer good connection for enhanced knowledge based communication between model generation processes and group work environment in the future. The authors of this paper established a new methodology for enhanced knowledge based connection of human interactions with current product modeling. They utilized their former results and realized coordinated interacting human intent based and product behavior driven adaptive product object definition. The proposed new control of product definition is supported by extended context definition. In this paper, the authors introduce the new product definition methodology and discuss key issues including principle of their Coordinated Request based Product Modeling (CRPM), connection of CRPM to the currently prevailing Classical Product Modeling (CPM), new representations in product behavior related structures, and a new method for the definition of coordinated contextual structure of objectives (SOB) and behaviors (SBE). The proposed modeling is considered as API communicated extension to the CPM modeling in current industrial PLM systems.

This paper introduces new objective related knowledge driven product feature definition method in order to achieve better human influence on feature definition in model based product engineering. The proposed method utilizes earlier relevant results by the authors in knowledge communication intensive product modeling and it is devoted as a contribution to solution for some actual problems in current product lifecycle management (PLM) systems. The authors analyzed definition of objects, knowledge representations, contextual connections, and product behavior descriptions in industrial PLM systems. They recognized that current PLM systems suffer from the lack of higher level representations in product model and decided development of new representations mainly in product function and quality driven feature definition. Main purposes of the reported work were establishing organized situation and event based active knowledge representation and replacing direct definition of product model features by a new indirect communication between human and product feature generation processes. The proposed method is an organic extension to modeling in current PLM systems. Its main characteristics are improved human interactions, situation and event based knowledge, and multi intent based decisions in contextual feature based product definition.

In currently applied product definition, product lifecycle management (PLM) systems apply integrated object modeling for contextual development of products in model space. In order to elevate this object level of integration to the level of knowledge, a new product modeling method is proposed. On the knowledge level of modeling, human makes attempt for model change by launching product objects accompanied with knowledge objects or by launching knowledge objects for generation of new product objects. Requested model changes are coordinated on the basis of human and product aspects. When an attempt gains permission to execute, an adaptive action entity is generated to replace direct human control of creation or modification of product objects. In this paper, current knowledge based features of product modeling systems are characterized. A new knowledge based product definition method by the authors is introduced and its integration with the currently applied object modeling is explained. Following this, the currently applied direct and expert knowledge based product definition methods are compared with the proposed indirect product definition. Finally, consistency and context as two main advantages of the new modeling are introduced and discussed.

Recently, product models serve lifecycle product information for wide area of engineering activities. This extended purpose results very large and complex product models with high number of relations. Restricted capability of product models for representation of some important elements of the human thinking process during definition of engineering objects in current industrial modeling systems makes it impossible to evaluate, revise, and change hundreds of already decided engineering object parameters. In this paper, a new methodology and several related processes are introduced in order to better communication between human and model generation processes. The main essence of the proposed product modeling is that human intent controlled development of engineering objects is realized by an extension to current industrial product model called as model of information content. Engineering objectives and contextual connections are defined as human intent driven features and applied at decision on engineering object parameters and at control of processes for engineering object parameter optimization and relating. The proposed modeling is connected to knowledge handling and knowledge based advisory functionalities of industrial product modeling systems. As a conclusion, a new modeling is placed between human and model information generation procedures in order to represent human originated background of model information for engineering objects.

Effectiveness of an engineering process in product modeling is determined by modeling system capability in representation of elements from the human thinking process during decision making on strongly interrelated engineering objects. Engineering objects are not only objects in the product structure but also include objects for product related activities such as analysis, manufacturing and production. Current product modeling systems apply the well-proven information based modeling and model in order to assist product related engineering activities in the industry. The authors analyzed this classical modeling and developed a modeling methodology to improve communication between engineer and information based modeling procedures. The proposed methodology is also aimed to enhance indirect communication between engineers by using of the product model as medium. In this paper, thinking process of human for product definition, information content based modeling, changed application of knowledge, and restricted automation of engineering decision processes are discussed. A comparison of information and information content based product modeling methods is given. In addition to enhanced human-computer and human-human communication, higher level of automation in product related engineering mainly in decision making is also discussed.

The problem addressed in this paper is that of including knowledge in product model for the application in industrial product development. A recent paradigm in engineering is product lifecycle management (PLM) in virtual space. Increasing demand for communication, representation, assignment, acceptance, and processing of high number of knowledge entities in PLM systems is a new challenge. Decision making on modeled product objects in virtual spaces requires better communication between interacting human and computer procedure than it is possible with data representations in current product models. In order to achieve this, the authors analyzed knowledge specific characteristics of engineering activities for entire product lifecycle. They concluded that current product models should be completed by description of information content for enhanced explanation and evaluation at decision-making. In this paper, knowledge advisors as recent achievements in industrial product modeling systems are evaluated and problems emerged at knowledge assistance of engineering decisions are identified. Rest of the paper is organized as follows. Flow of knowledge related information and processing of multiple intents are evaluated as communication issues. Next, content orientated product model is proposed and its integration with data oriented descriptions in present industrial models is explained. Following this, a new content oriented sector of the product model is conceptualized. Finally, implementation of the proposed modeling method in industrial PLM system is discussed and items are issues are assigned for the research work in the next future.

Integrated engineering systems are composed by modeling (CAD/CAM) and product data management (PDM) software. They offer communicative framework for engineering activities. However, integrated engineering systems have inherently restricted capabilities in organizing different engineering processes in projects at development and application of products. The authors are active in development of ideas, concepts, and methods to solve this problem. They proposed integrated model object (IMO) to enhance engineering processes in case of high number of interrelated activities and objects. IMO can be implemented in industrial engineering software systems as application development component. In this paper, the authors first give an outline of their approach to product lifetime management regarding integration-related purposes, development, content, and structure of an IMO. Following this, development of description of modeled objects is characterized by connections of IMO with CAD/CAM systems, essential IMO functions, and the IMO ware. Next, elements of IMO for analysis and multilevel information structure are detailed. Finally, essential IMO processes are detailed for decision on changes and management of change chains.

The authors propose a unified modeling approach to product-robot information systems as a contribution to robot related applications of product models. Despite product modeling by CAD/CAM system is prevailing in the industry, robot processes are typically not product model data driven. The authors consider geometric aspect of robot programming as the main drawback of development. The main purpose of the reported work is to establish an application centered and multi-aspect-based communication between product modeling and industrial robot related engineering. Although the primary application area of the proposed approach is robot-assisted manufacturing of products, it also can be utilized at other applications where engineering object descriptions in product models are available for robot environment. In the proposed model, engineering objects are described as application oriented associative aspects. High level integration of engineering information including intelligent content is intended for environment adaptive model objects. In this manner, models with the ability to react changes in their affect zone can be established. The paper also explains key elements of the related modeling methodology. Implementation of the approach and methodology is considered as an extension to modeling procedures and models in advanced industrial CAD/CAM systems with open architecture.

In this paper, the authors propose a method for intelligent computing extension of industrially applied shape centered modeling. The objective is development of intelligent model objects that include modeled object data and behavior description and human intent filtered knowledge. The proposed model objects are intelligent organizers of information, knowledge, and procedures for decision assistance. Results facilitate the completion of present simple data, rule, and formula based on relating parameters of modeled objects by an intelligent solution. The paper details application of integrated model object for description of an interrelated group of modeled objects. Following this, coordinated behavior and adaptive actions are proposed. Furthermore, associativity-based definition of affect zones for object changes is explained and intent filtered application of knowledge at engineering decisions is introduced. Finally, implementation of the proposed methodology as an extension of shape centered modeling of products and concept of the extended modeling systems are discussed as implementation issues.

This paper deals with the application of adaptive model objects for integration of modeling products and robot systems. Product modeling is an advanced method for integration of product related computer descriptions. Product model describes engineering related information about parts and assemblies in a mechanical system. Robots use this information for flexible automated manufacturing of the modeled product. Consequence of definition or change of model objects may be unacceptable change in production. To prevent similar problems by improper design at production, two-way communication is needed between product design and production planning. The authors proposed highly integrated model objects for this purpose. Model objects evaluate and react inside and outside changes by analysis of the related behaviors. Adaptivity features are created and then applied for behavior driven generation of modification of model entities. This paper analyzes process-oriented product modeling of robot application related mechanical systems. The proposed objects are composed by elementary, structural, relationship, behavior, knowledge and adaptivity features. This paper also discusses integration of multi layered robot process model with shape models, procedure of modification handling by behavior features in a product-robot model system, general architecture of the proposed model objects and behavior feature driven activities of active model objects on four levels.

In this paper, the authors discuss their recent contribution to the methodology of active product modeling and propose integrated model objects for engineering activities in mechanical systems. The purpose of the proposed model objects is to react to changes in the inside and the related modeled world by analysis of behaviors and behavior driven generation of adaptivity features for modification of model entities inside and outside the object. They are composed of elementary, structural, relationship, behavior, knowledge and adaptivity features. The proposed model objects are inherently highly integrated. An overview of product modeling introduces the authors' approach to modeling by using the proposed model objects. Following this, the architecture of integrated, environment adaptive model objects is detailed. Then activities of integrated objects are placed on four levels of the model. Finally, integration and implementation issues are discussed.

In this paper an integration of product modeling with robot control is discussed. The authors propose a method to enhance applications of geometric and other product and production equipment related information in robot control. Research of the related methodology was motivated by a growing significance of robots in highly flexible manufacturing systems. Difficulties of reproduction of modeled product geometry at its applications resulted a growing importance of online real time communications between a centralized product modeling and several model applications. The reported research concentrates on the creation and application of model data information understandable by robot controls, on communication of model data with robot environments through the Internet, and finally on some related telerobotics issues. It covers one of the actual problem complexes in the integration of engineering modeling with its shop floor level applications. Systems integration, data model, data communication and model processing have been investigated. In the paper an introduction of the robot related activities of engineers and the modeling environment are first given, taking into account the robot control aspect. Following this, key issues regarding robot tasks and their shape model based control are explained. Then an approach to interactive application of Internet-based telerobotics for product model driven control of robots is outlined. Finally, possibilities for an integration of remote robot control applications with product modeling environments are discussed.

This paper introduces a modeling method for intelligent model features for engineering modeling in industrial CAD/CAM systems. The related research started from earlier results in development of integrated feature based product modeling. An active model is proposed that integrates knowledge from modeling procedures, generic part models and engineers. Paper discusses the scenario of intelligent modeling based engineering. Then key methods for application of computational Intelligence in computer model based engineering systems are detailed including knowledge driven models as well as areas of their application. Next, behavior based models with intelligent content involving specifications and knowledge for the design processes are emphasized. Finally, an active modeling is proposed and possibilities for its application are outlined.

Integration of engineering activities in advanced, intelligent computing assisted environments constitutes one of the most active research interests in engineering modeling. This is because high level modeling techniques are required and these techniques must be suitable for integration in comprehensive product models. Existing application oriented master model concepts and standards such as STEP can serve this purpose. However, some important models and their relationships with other models have not been made available. One of these is a model of the machining process of mechanical parts that is associative with all of the related models in a comprehensive product model. The authors propose a model that offers full associativity with form feature based part models so that creation of part models can be done simultaneously with the analysis of machinability. The authors refused earlier solutions as the application of separate design and machining features and proposed the application of a second associative reordered feature sequence for machining purposes. Then the fusion or split of the listed shape modifications are applied to fulfil the demands of the machining process. An introduction of the feature based concepts is followed by an outline of the applied modeling method. Following this the creation and handling of Petri net model representations are detailed. After a discussion of the application of the results, the main characteristics of the modeling are concluded.

This paper describes an on going research by the authors who are seeking methods to integrate an earlier developed manufacturing process modeling method in the virtual manufacturing (VM) technology. The primary aim is to attach special manufacturability evaluation to modeling of mechanical products. A more or less generic process model is generated for a cluster of manufacturing tasks then manufacturing process entities are created by evaluation of the manufacturing process model using part, form feature, production environment, production planning and cost information. Petri net manufacturing process model representation is used. It has proved to be a versatile virtual manufacturing tool in manufacturing process planning, evaluation of manufacturability and in manufacturing environment design. A process model evaluation procedure is emphasized in the course of which feasibility and resource requirements of the manufacturing are revealed. Firstly, techniques of evaluation of manufacturability, the applied approach to integration of shape and manufacturing process modeling and the related virtual manufacturing concepts are introduced. The process model is outlined and earlier relevant publications of the authors are cited. Then problems and solutions at evaluating of process model in close connection with design and environmental changes are detailed. Following this, integration of the method into a comprehensive virtual manufacturing concept is explained. Finally, main issues and future research plans are concluded.

While well-proved shape description methods are available in present day CAD/CAM systems modeling of design intent is a rather new area. The authors have investigated modeling of complex considerations that are behind the decisions of engineers on model data in the course of product modeling. A product modeling system is considered that involves humans, model creating procedures and model data processing procedures. The proposed intent description can be utilized in present and future applications and later modification or re-engineering of models. Modeling of design intent is considered as part of the virtual manufacturing where integration of conceptualization activities is emphasized. In this paper, the problem and the analyzed human-machine-human system are outlined. Then characteristics and content of the design intent are described. Following this, representation of design intent and attaching intent data to product models are detailed. Finally, possibilities for application of the results of the research in CAD/CAM modeling environments are concluded.

Real-time machine monitoring is an open problem in machine tool industry. The presence of unmanned production systems increases the demands on such equipments. Success can be expected only by joint application of signal processing and pattern recognition methods. In real-time applications the speed of the system is of vital importance. In this respect the use of Walsh-Hadamard transform in preprocessing stage of the recognition system is investigated. Fourier and walsh transform of measured vibration data is compared. The paper gives an overview of the applicable methods of classification and feature selection . A multiprocessor-based real-time monitoring system is outlined, which system is under development.