Journal articles on the topic 'Meta-modeling architectures'
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Monthe, Valery Marcial, Laurent Nana, and Georges Edouard Kouamou. "A Model-Based Approach for Common Representation and Description of Robotics Software Architectures." Applied Sciences 12, no. 6 (March 15, 2022): 2982. http://dx.doi.org/10.3390/app12062982.
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Unlike conventional software, robotic software suffers from a lack of methods and processes that could systematize and facilitate development. Thus, the application of software engineering techniques is at the heart of current issues in robotics. The work presented in this paper aims to facilitate the development of robotic software and to facilitate communication between experts in the field through the use of software engineering techniques and methods. It proposes RsaML (Robotic Software Architecture Modeling Language), a Domain Specific Modeling Language (DSML) dedicated to robotics, which takes into account the different categories of robotic software architectures and makes it possible to describe the latter independently from the implementation platform. The conceptual model defining the terminology and the hierarchy of concepts used for the description and representation of robotic software architectures in RsaML are presented in this article. RsaML is defined through a meta-model which represents the abstract syntax of the language. The real-time properties of robotic software architectures are identified and included in the meta-model. The use of RsaML is illustrated through several experimental scenarios of the language: the definition of a robotic system and the description of its software architecture, the verification of the semantics of a robotic software architecture, and the modeling of a robotic system whose software architecture does not belong to the usual categories. The support tool used for implementations and experimentation is Eclipse Modeling Framework (EMF). The results of experimentation showed good working of the proposed solution and made it possible to validate the main concepts of the RsaML language.
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Arachchige, Jeewanie Jayasinghe, Hans Weigand, and Manfred Jeusfeld. "Business Service Modeling for the Service-Oriented Enterprise." International Journal of Information System Modeling and Design 3, no. 1 (January 2012): 1–22. http://dx.doi.org/10.4018/ijismd.2012010101.
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Service-oriented architectures are the upcoming business standard for realizing enterprise information systems, thus creating a need for analysis and design methods that are truly service-oriented. Most research on this topic so far takes a strict software engineering perspective. For a proper alignment between the business and the IT, a service perspective at the business level is needed as well. Using an MDA approach, this paper introduces a new business service and resource modeling language – BSRM, based on the REA business ontology. Coordination services are identified as boundary objects between the conceptual and operational level. A meta-modeling approach is used to map the service modeling language with complimentary models, in particular value network (e3value), data model (ER) and process models (BPMN).
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Pape, Louis, Siddhartha Agarwal, Kristin Giammarco, and Cihan Dagli. "Fuzzy Optimization of Acknowledged System of Systems Meta-architectures for Agent based Modeling of Development." Procedia Computer Science 28 (2014): 404–11. http://dx.doi.org/10.1016/j.procs.2014.03.050.
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Boumahdi, Fatima, and Rachid Chalal. "SOAda." International Journal of Systems and Service-Oriented Engineering 4, no. 2 (April 2014): 13–27. http://dx.doi.org/10.4018/ijssoe.2014040102.
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For the last few years, a rise has been observed in research activity in Service Oriented Architectures, with applications in different sectors. Several new technologies have been introduced and even more are being currently researched and aimed to the future. To meet the goals of a successful SOA implementation, enterprises need to reconsider how they provision decision aspect. This paper puts forward one novel idea and architecture about how enterprises move to a new SOA which leverages with decision aspect. In this paper, the authors describe an extended Service-Oriented Architecture - SOAda for supporting a decision aspect. The authors also present our DMS meta-model (Decisional Model of the Service) to define a new set of concepts necessary for modeling the three levels: business, information and decision. Some of them are already known, whereas others are new and are proposed as an element of this work.
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Ya'u, Badamasi Imam, Azlin Nordin, and Norsaremah Salleh. "META-MODELING CONSTRUCTS FOR REQUIREMENTS REUSE (RR): SOFTWARE REQUIREMENTS PATTERNS, VARIABILITY AND TRACEABILITY." MALAYSIAN JOURNAL OF COMPUTING 3, no. 2 (December 31, 2018): 119. http://dx.doi.org/10.24191/mjoc.v3i2.4181.
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Reuse is a fundamental activity, which increases quality and productivity of software products. Reuse of software artifacts, such as requirements, architectures, and codes can be employed at any developmental stage of software. However, reuse at a higher level of abstraction, for instance at requirements level, provides greater benefits in software development than when applied at lower level of abstraction for example at coding level. To achieve full benefits of reuse, a systematic approach and appropriate strategy need to be followed. Although several reuse approaches are reported in the literature, these approaches lack a key strategy to synergize some essential drivers of reuse, which include reusable structure, variability management (VM) and traceability of software artifacts. In line with this, we make our contribution in this paper by (1) presenting the concepts and importance of software requirements patterns (SRP) for reusable structure; (2) proposing a strategy, which combines three sub-disciplines of Software Engineering (SE) such as Requirements Engineering (RE), Software Product Line Engineering (SPLE) and Model-driven Engineering (MDE); (3) proposing a meta-modeling constructs, which include SRP, VM and traceability and; (4) Relationship amongst the three sub-disciplines of the SE. This is a novel approach and we believe it can support and guide researchers and practitioners in SE community to have greater benefits of reuse during software developments.
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Chrisley, Ron. "Artificial Consciousness, Meta-Knowledge, and Physical Omniscience." Journal of Artificial Intelligence and Consciousness 07, no. 02 (August 5, 2020): 199–215. http://dx.doi.org/10.1142/s2705078520500101.
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Previous work [Chrisley & Sloman, 2016, 2017] has argued that a capacity for certain kinds of meta-knowledge is central to modeling consciousness, especially the recalcitrant aspects of qualia, in computational architectures. After a quick review of that work, this paper presents a novel objection to Frank Jackson’s Knowledge Argument (KA) against physicalism, an objection in which such meta-knowledge also plays a central role. It is first shown that the KA’s supposition of a person, Mary, who is physically omniscient, and yet who has not experienced seeing red, is logically inconsistent, due to the existence of epistemic blindspots for Mary. It is then shown that even if one makes the KA consistent by supposing a more limited physical omniscience for Mary, this revised argument is invalid. This demonstration is achieved via the construction of a physical fact (a recursive conditional epistemic blindspot) that Mary cannot know before she experiences seeing red for the first time, but which she can know afterward. After considering and refuting some counter-arguments, the paper closes with a discussion of the implications of this argument for machine consciousness, and vice versa.
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Mišovič, Milan, and Oldřich Faldík. "Applying of component system development in object methodology." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 7 (2013): 2515–22. http://dx.doi.org/10.11118/actaun201361072515.
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In the last three decades, the concept and implementation of component-based architectures have been promoted in software systems creation. Increasingly complex demands are placed on the software component systems, in particular relating to the dynamic properties. The emergence of such requirements has been gradually enforced by the practice of development and implementation of these systems, especially for information systems software.Just the information systems (robust IS) of different types require that target software meets their requirements. Among other things, we mean primarily the adaptive processes of different domains, high distributives due to the possibilities of the Internet 2.0, acceptance of high integrity of life domains (process, data and communications integrity), scalability, and flexible adaptation to process changes, a good context for external devices and transparent structure of the sub-process modules and architectural units.Of course, the target software of required qualities and the type robust cannot be a monolith. As commonly known, development of design toward information systems software has clearly come to the need for the software composition of completely autonomous, but cooperating architectural units that communicate with each other using messages of prescribed formats.Although for such units there were often used the so called subsystems and modules, see (Jac, Boo, Rumbo, 1998) and (Arlo, Neus, 2007), their abstraction being gradually enacted as the term component. In other words, the subsystems and modules are specific types of components.In (Král, Žeml, 2000) and (Král, Žeml, 2003) there are considered two types of target software of information systems. The first type – there are SWC (Software Components), composed of permanently available components, which are thought as services – Confederate software. The second type – SWA (Software Alliance), called semi Confederate, formed during the run-time of the software system and referred to as software alliance.In both of these mentioned publications there is delivered deep philosophy of relevant issues relating to SWC / SWA as creating copies of components (cloning), the establishment and destruction of components at software run-time (dynamic reconfiguration), cooperation of autonomous components, programmable management of components interface in depending on internal components functionality and customer requirements (functionality, security, versioning).Nevertheless, even today we can meet numerous cases of SWC / SWA existence, with a highly developed architecture that is accepting vast majority of these requests. On the other hand, in the development practice of component-based systems with a dynamic architecture (i.e. architecture with dynamic reconfiguration), and finally with a mobile architecture (i.e. architecture with dynamic component mobility) confirms the inadequacy of the design methods contained in UML 2.0. It proves especially the dissertation thesis (Rych, Weis, 2008). Software Engineering currently has two different approaches to systems SWC / SWA. The first approach is known as component-oriented software development CBD (Component based Development). According to (Szyper, 2002) that is a collection of CBD methodologies that are heavily focused on the setting up and software components re-usability within the architecture. Although CBD does not show high theoretical approach, nevertheless, it is classified under the general evolution of SDP (Software Development Process), see (Sommer, 2010) as one of its two dominant directions.From a structural point of view, a software system consists of self-contained, interoperable architectural units – components based on well-defined interfaces. Classical procedural object-oriented methodologies significantly do not use the component meta-models, based on which the target component systems are formed, then. Component meta-models describe the syntax, semantics of components. They are a system of rules for components, connectors and configuration. Component meta-models for dynamic and mobile architectures also describe the concept of rules for configuration changes (rules for reconfiguration). As well-known meta-models are now considered: Wright for static architecture, SOFA and Darvin for dynamic architecture and SOFA 2.0 for mobile architecture, see (Rych, Weis, 2008).The CBD approach verbally defines the basic terms as component (primitive / composite), interface, component system, configuration, reconfiguration, logical (structural) view, process view (behavioral), static component architecture, dynamic architecture, mobile architecture (fully dynamic architecture), see (IEEE Report, 2000) and (Crnk, Chaud, 2006).The CBD approach also presents several ADL languages (Architecture Description Languages) which are able to describe software architecture. The known languages are integration ACME and UML (Unified Modeling Language), see (Garl, Mon, Wil, 2000) and (UNIFEM, 2005).The second approach to SWC / SWA systems is formed on SOA, but this article does not deal with it consistently.SOA is a philosophy of architecture. SOA is not a methodology for the comprehensive development of the target software. Nevertheless, SOA successfully filled the role of software design philosophy and on the other hand, also gave an important concept linking software components and their architectural units – business services. SOA understands any software as a Component System of a business service and solved life components in it. The physical implementation of components is given by a Web services platform. A certain lack of SOA is its weak link to the business processes that are a universally recognized platform for business activities and the source for the creation of enterprise services.This paper deals with a specific activity in the CBD, i.e. the integration of the concept of component-based system into an advanced procedural, object-oriented methodology (Arlo, Neust, 2007), (Kan, Müller, 2005), (Krutch, 2003) for problem domains with double-layer process logic. There is indicated an integration method, based on a certain meta-model (Applying of the Component system Development in object Methodology) and leading to the component system formation. The mentioned meta-model is divided into partial workflows that are located in different stages of a classic object process-based methodology. Into account there are taken the consistency of the input and output artifacts in working practices of the meta-model and mentioned object methodology. This paper focuses on static component systems that are starting to explore dynamic and mobile component systems.In addition, in the contribution the component system is understood as a specific system, for its system properties and basic terms notation being used a set and graph and system algebra.
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Nikanjam, Amin, Houssem Ben Braiek, Mohammad Mehdi Morovati, and Foutse Khomh. "Automatic Fault Detection for Deep Learning Programs Using Graph Transformations." ACM Transactions on Software Engineering and Methodology 31, no. 1 (January 31, 2022): 1–27. http://dx.doi.org/10.1145/3470006.
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Nowadays, we are witnessing an increasing demand in both corporates and academia for exploiting Deep Learning ( DL ) to solve complex real-world problems. A DL program encodes the network structure of a desirable DL model and the process by which the model learns from the training dataset. Like any software, a DL program can be faulty, which implies substantial challenges of software quality assurance, especially in safety-critical domains. It is therefore crucial to equip DL development teams with efficient fault detection techniques and tools. In this article, we propose NeuraLint , a model-based fault detection approach for DL programs, using meta-modeling and graph transformations. First, we design a meta-model for DL programs that includes their base skeleton and fundamental properties. Then, we construct a graph-based verification process that covers 23 rules defined on top of the meta-model and implemented as graph transformations to detect faults and design inefficiencies in the generated models (i.e., instances of the meta-model). First, the proposed approach is evaluated by finding faults and design inefficiencies in 28 synthesized examples built from common problems reported in the literature. Then NeuraLint successfully finds 64 faults and design inefficiencies in 34 real-world DL programs extracted from Stack Overflow posts and GitHub repositories. The results show that NeuraLint effectively detects faults and design issues in both synthesized and real-world examples with a recall of 70.5% and a precision of 100%. Although the proposed meta-model is designed for feedforward neural networks, it can be extended to support other neural network architectures such as recurrent neural networks. Researchers can also expand our set of verification rules to cover more types of issues in DL programs.
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Loftus, Tyler J., Benjamin Shickel, Matthew M. Ruppert, Jeremy A. Balch, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Philip A. Efron, et al. "Uncertainty-aware deep learning in healthcare: A scoping review." PLOS Digital Health 1, no. 8 (August 10, 2022): e0000085. http://dx.doi.org/10.1371/journal.pdig.0000085.
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Mistrust is a major barrier to implementing deep learning in healthcare settings. Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. Our purpose is to critically evaluate methods for quantifying uncertainty in deep learning for healthcare applications and propose a conceptual framework for specifying certainty of deep learning predictions. We searched Embase, MEDLINE, and PubMed databases for articles relevant to study objectives, complying with PRISMA guidelines, rated study quality using validated tools, and extracted data according to modified CHARMS criteria. Among 30 included studies, 24 described medical imaging applications. All imaging model architectures used convolutional neural networks or a variation thereof. The predominant method for quantifying uncertainty was Monte Carlo dropout, producing predictions from multiple networks for which different neurons have dropped out and measuring variance across the distribution of resulting predictions. Conformal prediction offered similar strong performance in estimating uncertainty, along with ease of interpretation and application not only to deep learning but also to other machine learning approaches. Among the six articles describing non-imaging applications, model architectures and uncertainty estimation methods were heterogeneous, but predictive performance was generally strong, and uncertainty estimation was effective in comparing modeling methods. Overall, the use of model learning curves to quantify epistemic uncertainty (attributable to model parameters) was sparse. Heterogeneity in reporting methods precluded the performance of a meta-analysis. Uncertainty estimation methods have the potential to identify rare but important misclassifications made by deep learning models and compare modeling methods, which could build patient and clinician trust in deep learning applications in healthcare. Efficient maturation of this field will require standardized guidelines for reporting performance and uncertainty metrics.
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Park, Jong Hyuk. "Advanced IT-Based Future Sustainable Computing (2017–2018)." Sustainability 11, no. 8 (April 15, 2019): 2264. http://dx.doi.org/10.3390/su11082264.
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Future Sustainability Computing (FSC) is an emerging concept that holds various types of paradigms, rules, procedures, and policies to support breadth and length of the deployment of Information Technology (IT) for abundant life. However, advanced IT-based FCS is facing several sustainability problems in different information processing and computing environments. Solutions to these problems can call upon various computational and algorithmic frameworks that employ optimization, integration, generation, and utilization technique within cloud, mobile, and cluster computing, such as meta-heuristics, decision support systems, prediction and control, dynamical systems, machine learning, and so on. Therefore, this special issue deals with various software and hardware design, novel architectures and frameworks, specific mathematical models, and efficient modeling-simulation for advance IT-based FCS. We accepted eighteen articles in the six different IT dimensions: machine learning, blockchain, optimized resource provision, communication network, IT governance, and information security. All accepted articles contribute to the applications and research in the FCS, such as software and information processing, cloud storage organization, smart devices, efficient algorithmic information processing and distribution.
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Pasqui, Valdo. "look at metatada processing beyond Libraries." JLIS.it 13, no. 3 (September 15, 2022): 29–48. http://dx.doi.org/10.36253/jlis.it-492.
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Since many years libraries, archives and museums, the institutions entrusted with the dissemination and conservation of cultural heritage, contributed to metada standards definition, meta-dating methodologies and metadata representation in different syntaxes, by partecipating to national projects and international initiatives.Management systems and catalogs used in these contexts borrow from information and telecommunication technology tools, metodoligies and techniques to generate, organize, share and use various types of metadata. But the Information and Communication Technology (ICT) area is not only a supplier of technological tools and solutions as it also constitutes a rich basin in which metadata plays a fundamental role in designing architectures, modeling information systems and implementing services.Through an overview that includes national and European initiatives, especially in the digital transformation process of the public sector, this paper aims to offer a look to metadata beyond the traditional boundary of libraries and other cultural institutions and to underline some relevant aspects such as standardization, sharing, reuse and metadata quality assessment.This framework highlights the need to carry on with the path of cooperation between different functional domains and organizational contexts in order to consolidate and extend the (re)use of metadata schemes, ontologies and controlled vocabularies both in the redesign of digitized processes and in the implementation of services supporting them. By undertaking since design early stages a multidisciplinary approach based on metadata standards can ensure greater flexibility and higher interoperability. This vision requires the enhancement of intersectorial skills that meld metadata methodologies and syntaxes representation basic knowledge with the ability to model functional domains using metadata schemes and ontologies.
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Patnaik, K. Sridhar, and Itu Snigdh. "Architectural Modelling of Cyber Physical Systems Using UML." International Journal of Cyber-Physical Systems 1, no. 2 (July 2019): 19–37. http://dx.doi.org/10.4018/ijcps.2019070102.
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Cyber-physical systems (CPS) is an exciting emerging research area that has drawn the attention of many researchers. However, the difficulties of computing and physical paradigm introduce a lot of trials while developing CPS, such as incorporation of heterogeneous physical entities, system verification, security assurance, and so on. A common or unified architecture plays an important role in the process of CPS design. This article introduces the architectural modeling representation of CPS. The layers of models are integrated from high level to lower level to get the general Meta model. Architecture captures the essential attributes of a CPS. Despite the rapid growth in IoT and CPS a general principled modeling approach for the systematic development of these new engineering systems is still missing. System modeling is one of the important aspects of developing abstract models of a system wherein, each model represents a different view or perspective of that system. With Unified Modeling Language (UML), the graphical analogy of such complex systems can be successfully presented.
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SMEDA, ADEL, MOURAD OUSSALAH, and TAHAR KHAMMACI. "MY ARCHITECTURE: A KNOWLEDGE REPRESENTATION META-MODEL FOR SOFTWARE ARCHITECTURE." International Journal of Software Engineering and Knowledge Engineering 18, no. 07 (November 2008): 877–94. http://dx.doi.org/10.1142/s0218194008003921.
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In this article we show how knowledge representation techniques can be applied to software architecture. We define a representation model for software architecture concepts. The model is based on MY model (meta modeling in Y), which is a knowledge engineering methodology. It represents software architecture concepts using three branches: component, connector, and architecture. The component branch represents concepts that are related to computations, the connector branch represents concepts that are related to interactions, and the architecture branch represents concepts that are related to the structure and the topology of the system described. We think that such a representation of architecture concepts aids in improving reusability not only at the implementation level, but also at the description level. The model assigns a hierarchical library for the four software architecture conceptual levels (meta-meta architecture level, meta architecture level, architecture level, application level).
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Sun, Ron, Xi Zhang, and Robert Mathews. "Modeling meta-cognition in a cognitive architecture." Cognitive Systems Research 7, no. 4 (December 2006): 327–38. http://dx.doi.org/10.1016/j.cogsys.2005.09.001.
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Shi, De Jia, Kai Ji Liao, and Li Wang. "Knowledge Management Model Definition Language and its Application." Key Engineering Materials 460-461 (January 2011): 506–11. http://dx.doi.org/10.4028/www.scientific.net/kem.460-461.506.
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Knowledge management modeling is foundation of knowledge management practice. Previous work of knowledge management modeling is mainly about concept architecture. Its tools and methods are not strong. This paper suggested a new knowledge management meta-model based on the analyzing and integration of knowledge management model. The core of the meta-model includes organizational structure, business process, resource and knowledge. A knowledge management definition language (KMDL) is proposed, which defines a least set of knowledge management modeling components and properties. It also offers a shareable exchange format in common sense. Based on the meta-model and KMDL, we developed a knowledge management modeling tool.
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Chen, Lei, Hong Fei Zhan, Jun He Yu, Zhong Ren Jiang, and Chen Jian Lei. "Research on the Business Process Modeling Based on Domain-Specific Modeling Meta-Model Driven." Applied Mechanics and Materials 101-102 (September 2011): 860–63. http://dx.doi.org/10.4028/www.scientific.net/amm.101-102.860.
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To decrease the difficulty of business process modeling, the domain-specific modeling (DSM) method and the frame of model driven architecture (MDA) were discussed in this paper. By applying DSM and MDA, the meta-model consisting of domain schema and domain template was established to simplify the business process. Then the character property, relationship property and operation of business-process-oriented DSM (BP-DSM) meta-model were described. The meta-model and application template would be consummated by continuous instantiation and abstraction of the domain concepts. By extracting and accumulating a large number of enterprises' templates within the same industry, the industry-oriented model template would be ultimately established.
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Lee, Jongsoo, and Seongkyu Kang. "GA based meta-modeling of BPN architecture for constrained approximate optimization." International Journal of Solids and Structures 44, no. 18-19 (September 2007): 5980–93. http://dx.doi.org/10.1016/j.ijsolstr.2007.02.008.
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Kryštof, Jan. "Towards an MDA-based approach for development of a structural scope of the presentation layer." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 57, no. 6 (2009): 123–32. http://dx.doi.org/10.11118/actaun200957060123.
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This paper presents an approach for developing the presentation layer of software applications. The approach is based on the concept of the Model Driven Architecture (MDA) and uses a UML – based model of graphical user interfaces, which is created according to rules defined in a meta – model. The meta – model is not oriented to a particular platform, thus all designed models can be created independently of the programming language and widget library. This platform independent UML based model can be transformed into source – code for an arbitrary programming language and can be used in a software development process.The meta – model of our approach is an extension of the common UML and provides support for modeling the presentation layer. The meta – model thus fills a gap that exists in modeling three – layered software applications, beside the application and the data layer. By providing this possibility for modeling the presentation layer, we can crucially impact current approaches to the development of three layered software applications. All model artifacts contain essential information about the graphical user interface and can be used for a code generation. Since the UML is widely used by analysts, they can produce models which de-facto represent source code and thus they reduce the workload for programmers, who create source code by some traditional approaches. Our model – based approach also strictly separates the appearance and the structure of graphical user – interfaces and both of them are developed separately, which brings higher modularity of software.In this paper, we demonstrate our development approach by focusing on the structure of graphical user interfaces. Our approach is influenced by the concept of Model Driven Architecture and we deal with all related issues, such as meta – model, user models, model transformations and source – code generation. For evaluating our approach, we designed and developed a software framework, we integrated it into a generic modeling tool, and used approach principles during the development of a module of an information system.
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Tingting, Zhang, Liu Xiaoming, Wang Zhixue, and Dong Qingchao. "Capability-oriented architectural analysis method based on fuzzy description logic." Computer Science and Information Systems 13, no. 1 (2016): 287–308. http://dx.doi.org/10.2298/csis150222046t.
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A number of problems may arise from architectural requirements modeling, including alignment of it with business strategy, model integration and handling the uncertain and vague information. The paper introduces a method for modeling architectural requirements in a way of ontology-based and capability-oriented requirements elicitation. The requirements can be modeled within a three-layer framework. The Capability Meta-concept Framework is provided at the top level. The domain experts can capture the domain knowledge within the framework, forming the domain ontology at the second level. The domain concepts can be used for extending the UML to produce a domain-specific modeling language. A fuzzy UML is introduced to model the vague and uncertain features of the capability requirements. An algorithm is provided to transform the fuzzy UML models into the fuzzy Description Logics ontology for model verification. A case study is given to demonstrate the applicability of the method.
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Obaid, Ahmed J. "LIFT AND DRAG FORCE PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS." Journal of Airline Operations and Aviation Management 1, no. 1 (July 25, 2022): 37–43. http://dx.doi.org/10.56801/jaoam.v1i1.5.
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The adaptability of the convolutional neural network (CNN) technique is probed for aerodynamic meta- modeling task. The primary objective is to develop a suitable architecture for variable flow conditions and object geometry, in addition to identifying a sufficient data preparation process. Multiple CNN structures were trained to learn the lift coefficients of the airfoils with a variety of shapes in multiple flow Mach numbers, Reynolds numbers, and diverse angles of attack. This was conducted to illustrate the concept of the methodology. Multi-layered perceptron (MLP) solutions were also obtained and compared with the CNN results. The newly proposed meta-modeling concept has been found to be comparable with the MLP in learning capability; and more importantly, our CNN model exhibits a competitive prediction accuracy with minimal constraints in geometric representation.
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Zhou, Yuhao, Yumin Liang, Yiqun Pan, Xiaolei Yuan, Yurong Xie, and Wenqi Jia. "A Deep-Learning-Based Meta-Modeling Workflow for Thermal Load Forecasting in Buildings: Method and a Case Study." Buildings 12, no. 2 (February 4, 2022): 177. http://dx.doi.org/10.3390/buildings12020177.
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This paper proposes a meta-modeling workflow to forecast the cooling and heating loads of buildings at individual and district levels in the early design stage. Seven input variables, with large impacts on building loads, are selected for designing meta-models to establish the MySQL database. The load profiles of office, commercial, and hotel models are simulated with EnergyPlus in batches. A sequence-to-sequence (Seq2Seq) model based on the deep-learning method of a one-dimensional convolutional neural network (1D-CNN) is introduced to achieve rapid forecasting of all-year hourly building loads. The method performs well with the load effective hour rate (LEHR) of around 90% and MAPE less than 10%. Finally, this meta-modeling workflow is applied to a district as a case study in Shanghai, China. The forecasting results well match the actual loads with R2 of 0.9978 and 0.9975, respectively, for the heating and cooling load. The LEHR value of all-year hourly forecasting loads is 98.4%, as well as an MAPE of 4.4%. This meta-modeling workflow expands the applicability of building-physics-based methods and improves the time resolution of conventional data-driven methods. It shows small forecasting errors and fast computing speed while meeting the required precision and convenience of engineering in the building early design stage.
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Paolone, Gaetanino, Martina Marinelli, Romolo Paesani, and Paolino Di Felice. "Automatic Code Generation of MVC Web Applications." Computers 9, no. 3 (July 15, 2020): 56. http://dx.doi.org/10.3390/computers9030056.
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As Web applications become more and more complex, the development costs are increasing as well. A Model Driven Architecture (MDA) approach is proposed in this paper since it simplifies modeling, design, implementation, and integration of applications by defining software mainly at the model level. We adopt the The Unified Modeling Language (UML), as modeling language. UML provides a set of diagrams to model structural and behavioral aspects of the Web applications. Automatic translation of UML diagrams to the Object-Oriented code is highly desirable because it eliminates the chances of introducing human errors. Moreover, automatic code generation helps the software designers delivering of the software on time. In our approach, the automatic transformations across the MDA’s levels are based on meta-models for two of the most important constructs of UML, namely Use Cases and classes. A proprietary tool (called xGenerator) performs the transformations up to the Java source code. The architecture of the generated Web applications respects a variant of the well-known Model-View-Controller (MVC) pattern.
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Vinnik, D. V. "Some aspects of artificial personality architecture." Philosophy of Science and Technology 27, no. 2 (2022): 136–49. http://dx.doi.org/10.21146/2413-9084-2022-27-2-136-149.
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This paper examines the possibility of artificial personality as a form of strong AI and as a model of the human psyche. It is argued that connectionism is not relevant for creating an artificial personality – brain is a hybrid system, which, in addition to self-learning circuits, contains algorithmic procedures. A hypothesis of the functional role of the awareness of self-consciousness property as a reflexive rank, since genuine intelligence arise, is proposed. AI as a model can be built as a hybrid multi-agent system. Some circuits may be analog, others – digital; some systems may be self-learning, others may operate under algorithmic rules and mathematical functions. The success of perceptronical inclines to idea that sensation modeling can be self-learning. The level of emotions can be realized as primary representations in the analog form. The later may be abstracted in judgments treated as secondary representations. The level of self-consciousness or meta-psychological states implies certain possibility of learning to self-learning (as an analogue of awareness of self-awareness) using secondary representations at the input.
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Qiao, Li Hong, and Wei Liu. "Agile Manufacturing Data Management." Key Engineering Materials 407-408 (February 2009): 189–93. http://dx.doi.org/10.4028/www.scientific.net/kem.407-408.189.
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An agile data service framework was proposed in the paper to meet the requirement of agile manufacturing data management in product lifecycle management. The framework was comprised of four layers: core object and ontology layer, meta-data and meta-mode layer, service component layer and implementation layer. The realization of agile manufacturing data management was investigated through the analysis of the unified manufacturing data modeling and the implementation based on services. The descriptive structure and the main content of the manufacturing data model was given. The architecture of the manufacturing data management system based on services was addressed to conduct service implementation of the framework. The proposed approach of agile data services brought forward a new feasible solution to agile data management throughout product lifecycle.
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Fong, Joseph, Qing Li, and Shi-Ming Huang. "Universal Data Warehousing Based on a Meta-Data Modeling Approach." International Journal of Cooperative Information Systems 12, no. 03 (September 2003): 325–63. http://dx.doi.org/10.1142/s0218843003000772.
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Data warehouse contains vast amount of data to support complex queries of various Decision Support Systems (DSSs). It needs to store materialized views of data, which must be available consistently and instantaneously. Using a frame metadata model, this paper presents an architecture of a universal data warehousing with different data models. The frame metadata model represents the metadata of a data warehouse, which structures an application domain into classes, and integrates schemas of heterogeneous databases by capturing their semantics. A star schema is derived from user requirements based on the integrated schema, catalogued in the metadata, which stores the schema of relational database (RDB) and object-oriented database (OODB). Data materialization between RDB and OODB is achieved by unloading source database into sequential file and reloading into target database, through which an object relational view can be defined so as to allow the users to obtain the same warehouse view in different data models simultaneously. We describe our procedures of building the relational view of star schema by multidimensional SQL query, and the object oriented view of the data warehouse by Online Analytical Processing (OLAP) through method call, derived from the integrated schema. To validate our work, an application prototype system has been developed in a product sales data warehousing domain based on this approach.
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Ayadi, Rim, Yasser Hachaichi, and Jamel Feki. "A Framework for Knowledge Models Transformation: A Step Towards Knowledge Integration and Warehousing." Journal of Information & Knowledge Management 18, no. 02 (June 2019): 1950025. http://dx.doi.org/10.1142/s0219649219500254.
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An intelligent decision support system should based on a knowledge warehouse (KW). A KW gathers knowledge initially expressed in different formalisms and therefore heterogeneous. Consequently, the KW building process requires knowledge homogenisation. This paper deals with this main issue; it introduces a three-layer architecture for a KW; more precisely, it focuses on the first layer architecture called Knowledge Acquisition and Transformation. This layer aims to transform heterogeneous knowledge models into the MOT (Modeling with Object Types) semi-formal language [Paquette, G (2002). Knowledge and Skills Modeling: A Graphical Language for Designing and Learning. Sainte-Foy: University of Quebec Press (in French).] that we have selected as a pivot knowledge model. For this transformation step, first, we design four meta-models; one for MOT and one for each of the three explicit knowledge models, namely, decision tree, association rules and clustering. Secondly, we define 15 transformation rules that we formalise in ATL (Atlas Transformation Language). Finally, we exemplify the knowledge transformation in order to show its usefulness for the KW building process.
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Gustas, Remigijus, and Prima Gustiené. "Conceptual Modeling Method for Separation of Concerns and Integration of Structure and Behavior." International Journal of Information System Modeling and Design 3, no. 1 (January 2012): 48–77. http://dx.doi.org/10.4018/jismd.2012010103.
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Identification of discontinuities, separation of concerns, and dealing with the evolutionary changes of requirements is difficult in conceptual modeling. The limited human mind allows focusing on one particular requirement at a time in isolation. One fundamental problem is that all conventional conceptual modeling techniques deal with collections of loosely linked meta-models, which are defined by different types of diagrams. Typically, system development methods project interactive, behavioral, and structural aspects of information systems’ conceptual representations into disparate views. Therefore, the semantic integrity of various architecture dimensions is difficult to achieve. The difficulties stem from the paradigmatic mismatch between static and dynamic constructs. The advantage of the conceptual modeling approach presented in this paper is flexibility. It is demonstrated by case study examples that sequential, underlying, enclosing, overriding, and overlaying interaction loops between actors provide the foundation for the composition of complex scenarios, which span across organizational and technical system boundaries. The presented semantic integration and system decomposition principles target business process modeling experts and information system designers, because they are essential for introducing evolutionary changes and managing complexity of information system conceptualizations.
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Chiu, Dickson K. W., Qing Li, and Kamalakar Karlapalem. "A meta modeling approach to workflow management systems supporting exception handling." Information Systems 24, no. 2 (April 1999): 159–84. http://dx.doi.org/10.1016/s0306-4379(99)00010-1.
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Restrepo, Silvia E., Jorge E. Pezoa, and Demetrio A. Ovalle Carranza. "An Adaptive Architecture for Ambient Intelligence Based on Meta-modeling, Smart Agents, and Wireless Sensor Networks." IEEE Latin America Transactions 12, no. 8 (December 2014): 1508–14. http://dx.doi.org/10.1109/tla.2014.7014521.
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Tirone, Lucio, Emanuele Guidolotti, and Lorenzo Fornaro. "A Tailoring of the Unified Architecture Framework's Meta-Model for the Modeling of Systems-of-Systems." INCOSE International Symposium 28, no. 1 (July 2018): 1691–705. http://dx.doi.org/10.1002/j.2334-5837.2018.00577.x.
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ODA, T. "Meta-Modeling Based Version Control System for Software Diagrams." IEICE Transactions on Information and Systems E89-D, no. 4 (April 1, 2006): 1390–402. http://dx.doi.org/10.1093/ietisy/e89-d.4.1390.
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Gonzalez-Lopez, Fernanda, and Guillermo Bustos. "Business process architecture design methodologies – a literature review." Business Process Management Journal 25, no. 6 (September 17, 2019): 1317–34. http://dx.doi.org/10.1108/bpmj-09-2017-0258.
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PurposeThe purpose of this paper is to describe the current state of the research field of business process architecture (BPA) and its design methodologies.Design/methodology/approachA systematic literature review (SLR) was conducted using meta- and content-based perspectives.FindingsFrom over 6,000 candidate studies, 89 were selected. A fifth of these primary works corresponded to BPA design methodologies. Though the BPA research field remains in an early stage of development, it bears promising growth potential. Regarding BPA design methodologies, the following aspects susceptible for further research were detected: identification and modeling of business process relationships; specification of inputs; standardization of models, notations and tool support; consideration of managerial concerns; integration of knowledge from other areas; and validation of methodological and product quality aspects.Research limitations/implicationsThe main limitation of the work lies in not being fully reproducible due to the fixed number of data sources and their digital nature, together with subjective decisions in work selection, data extraction and data analysis.Originality/valueTo the best of the authors’ knowledge no study has yet analyzed the BPA research field by means of an SLR. This study will benefit practitioners and research groups working on this topic by allowing them to get a rigorous overview of the BPA research field with an emphasis on available BPA design methodologies, and become aware of research gaps within the BPA field to position further research.
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ZHANG, JIANFU, PINGFA FENG, ZHIJUN WU, DINGWEN YU, and KEN CHEN. "ACTIVITY BASED CIM MODELING AND TRANSFORMATION FOR BUSINESS PROCESS SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 20, no. 03 (May 2010): 289–309. http://dx.doi.org/10.1142/s0218194010004736.
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Computation-Independent Model (CIM) to capture domain requirements and the transformation from CIM to the Platform-Independent Model (PIM) are two crucial parts of the Model-Driven Architecture (MDA). This paper presents an ontology-activity-based CIM modeling approach to achieve a semi-automatic transformation from CIM to PIM. It proposes that the key elements in business process modeling are activities and these should therefore form the basis in constructing the domain ontology. Aiming to provide the key description capability for the process model, it discusses the hierarchy of the model by adding an activity dimension between the object and process tiers. It also proposes a model-relevance-calculation-based method for extracting ontology activities from the process meta-models. Based on the presented model acquisition method, a decomposition approach is proposed to simplify the complexity of the transformation relationships between the CIM and PIM by introducing the concepts of ontology activities. A general framework surrounding the transformation from CIM to PIM is discussed. It uses the Web Ontology Language (OWL) to describe the ontology activity and considers the Unified Modeling Language (UML) to be the PIM.
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Dhaene, Tom, and Jan De Geest. "Self-organizing multivariate constrained meta-modeling technique for passive microwave and RF components." Future Generation Computer Systems 21, no. 7 (July 2005): 1040–46. http://dx.doi.org/10.1016/j.future.2004.03.004.
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Saghafi, Arash, and Yair Wand. "A Meta-Analysis of Ontological Guidance and Users' Understanding of Conceptual Models." Journal of Database Management 31, no. 4 (October 2020): 46–68. http://dx.doi.org/10.4018/jdm.2020100103.
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Information systems are intended to be faithful accounts of real-world applications. As an integral part of the development process, analysts create conceptual models in order to understand the application and communicate requirements. Failure to do so has been a prominent reason for IT projects' failure. Hence, improving the quality of models could have a major impact on the information systems' success. To guide the modeling process, researchers use ontology to create more expressive representations of reality. However, improving expressiveness can make the models complicated and cause cognitive hurdles for users. Therefore, the question is whether ontological guidance is worth the trade-off between expressiveness and complexity. This paper describes a meta-analysis of empirical research examining the impact of ontological guidance on users' understandability. The results show that ontological guidance can improve users' understanding of conceptual models, especially those requiring deeper understanding, thus providing support for ontological guidance in conceptual modeling.
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Yang, Pengbo. "Information Management in the Logistics and Distribution Sector Using Metaheuristic Techniques." International Journal of Information Systems and Supply Chain Management 15, no. 4 (October 1, 2022): 1–21. http://dx.doi.org/10.4018/ijisscm.305850.
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Information systems (IS) influence logistic and distribution management on sourcing, planning, delivery, and levels ranging from strategic operations to organizational strategy. Information management is a challenging task in logistics and distribution across the business. The supply chain has been increasingly accepted as a significant aid to cut costs and boost services. This paper proposes meta-heuristic techniques (MHT) for effective information management in logistics and distribution, from manufacturers to customers, security, a significant focus on collaboration of operations, co-operation, communication, and knowledge exchange across the supply chain. Modern organizations need advanced decision support systems focused on operative statistical modeling and solution methods and information and communication technology developments to adapt to the integration challenge. It suggests that metaheuristics can play an essential role in addressing complex logistical challenges from logistic architecture and management within the supply chain.
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Conway, Christopher C., Robert D. Latzman, and Robert F. Krueger. "A Meta-Structural Model of Common Clinical Disorder and Personality Disorder Symptoms." Journal of Personality Disorders 34, no. 1 (February 2020): 88–106. http://dx.doi.org/10.1521/pedi_2019_33_383.
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A large and consistent research literature demonstrates the superiority of dimensional models of mental disorder. Factor analytic research has mapped the latent dimensions underlying separate sets of mental disorders (e.g., emotional disorders), but a common framework—unencumbered by arbitrary historical boundaries between disorder groups—requires additional research. Using empirically derived measures of three key domains of psychopathological variation, the overarching goal of the current study was to explicate dimensions connecting internalizing, externalizing, and personality disorders. Participants included 1,144 racially diverse undergraduates. Exploratory structural equation modeling analyses revealed seven latent dimensions: core internalizing, core externalizing, antagonism, impulsivity, dutifulness, detachment, and suspiciousness. This meta-structure reflects a more comprehensive model of the architecture of mental disorders than accounts derived from less inclusive assessment batteries. Future empirical work is needed to evaluate the utility of this structural model in etiological research, assessment, and treatment arenas.
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Pleić, Nikolina, Mirjana Babić Leko, Ivana Gunjača, Thibaud Boutin, Vesela Torlak, Antonela Matana, Ante Punda, Ozren Polašek, Caroline Hayward, and Tatijana Zemunik. "Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels." International Journal of Molecular Sciences 23, no. 4 (February 16, 2022): 2173. http://dx.doi.org/10.3390/ijms23042173.
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Thyroglobulin (Tg) is an iodoglycoprotein produced by thyroid follicular cells which acts as an essential substrate for thyroid hormone synthesis. To date, only one genome-wide association study (GWAS) of plasma Tg levels has been performed by our research group. Utilizing recent advancements in computation and modeling, we apply a Bayesian approach to the probabilistic inference of the genetic architecture of Tg. We fitted a Bayesian sparse linear mixed model (BSLMM) and a frequentist linear mixed model (LMM) of 7,289,083 variants in 1096 healthy European-ancestry participants of the Croatian Biobank. Meta-analysis with two independent cohorts (total n = 2109) identified 83 genome-wide significant single nucleotide polymorphisms (SNPs) within the ST6GAL1 gene (p<5×10−8). BSLMM revealed additional association signals on chromosomes 1, 8, 10, and 14. For ST6GAL1 and the newly uncovered genes, we provide physiological and pathophysiological explanations of how their expression could be associated with variations in plasma Tg levels. We found that the SNP-heritability of Tg is 17% and that 52% of this variation is due to a small number of 16 variants that have a major effect on Tg levels. Our results suggest that the genetic architecture of plasma Tg is not polygenic, but influenced by a few genes with major effects.
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Zignani, Matteo, Sabrina Gaito, and Gian Paolo Rossi. "Follow the “Mastodon”: Structure and Evolution of a Decentralized Online Social Network." Proceedings of the International AAAI Conference on Web and Social Media 12, no. 1 (June 15, 2018): 541–50. http://dx.doi.org/10.1609/icwsm.v12i1.14988.
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In this paper we present a dataset containing both the network of the "follow" relationships and its growth in terms of new connections and users, all which we obtained by mining the decentralized online social network named Mastodon. The dataset is combined with usage statistics and meta-data (geographical location and allowed topics) about the servers comprising the platform's architecture. These server are called instances. The paper also analyzes the overall structure of the Mastodon social network, focusing on its diversity w.r.t. other commercial microblogging platforms such as Twitter. Finally, we investigate how the instance-like paradigm influences the connections among the users. The newest and fastest-growing microblogging platform, Mastodon is set to become a valid alternative to established platforms like Twitter. The interest in Mastodon is mainly motivated as follows: a) the platform adopts an advertisement and recommendation-free business model; b) the decentralized architecture makes it possible to shift the control over user contents and data from the platform to the users; c) it adopts a community-like paradigm from both user and architecture viewpoints. In fact, Mastodon is composed of interconnected communities, placed on different servers; in addition, each single instance, with specific topics and languages, is independently owned and moderated. The released dataset paves the way to a number of research activities, which range from classic social network analysis to the modeling of social network dynamics and platform adoption in the early stage of the service. This data would also enable community detection validation since each instance hinges on specific topics and, lastly, the study of the interplay between the physical architecture of the platform and the social network it supports.
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GEBSER, MARTIN, ROLAND KAMINSKI, and TORSTEN SCHAUB. "Complex optimization in answer set programming." Theory and Practice of Logic Programming 11, no. 4-5 (July 2011): 821–39. http://dx.doi.org/10.1017/s1471068411000329.
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AbstractPreference handling and optimization are indispensable means for addressing nontrivial applications in Answer Set Programming (ASP). However, their implementation becomes difficult whenever they bring about a significant increase in computational complexity. As a consequence, existing ASP systems do not offer complex optimization capacities, supporting, for instance, inclusion-based minimization or Pareto efficiency. Rather, such complex criteria are typically addressed by resorting to dedicated modeling techniques, likesaturation. Unlike the ease of common ASP modeling, however, these techniques are rather involved and hardly usable by ASP laymen. We address this problem by developing a general implementation technique by means of meta-prpogramming, thus reusing existing ASP systems to capture various forms of qualitative preferences among answer sets. In this way, complex preferences and optimization capacities become readily available for ASP applications.
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Sandkuhl, Kurt, Ulf Seigerroth, Alexander Smirnov, Tatiana Levashova, and Nikolay Shilov. "Service configuration in SOA-based enterprise representation using role knowledge." Management and Production Engineering Review 5, no. 1 (March 1, 2014): 51–64. http://dx.doi.org/10.2478/mper-2014-0007.
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Abstract This work investigates the use of enterprise models for service configuration with a focus on knowledge related to organizational roles. Starting from an industrial case, it presents an approach to extract a role’s information demand from an enterprise model and to use this as initial configuration for agent-based services. In addition to the meta-model included in the enterprise modeling language, the use of a common ontology is proposed which captures both, the perspective of information demand and services. The architecture of the agentbased services is following the idea to characterize all actors by their roles and to represent them by sets of services. This approach facilitates self-organization in the service level. The main contributions of the paper are (1) to show that a role’s information demand is relevant for service configuration, (2) to present a way of extracting information demand from enterprise models, and (3) to extend an approach for SOA-based enterprise representation with information demand.
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Liu, Shilong, Yang Liu, Xiaotong Zhang, Cheng Xu, Jie He, and Yue Qi. "Improving the Performance of Cold-Start Recommendation by Fusion of Attention Network and Meta-Learning." Electronics 12, no. 2 (January 11, 2023): 376. http://dx.doi.org/10.3390/electronics12020376.
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The cold-start problem has always been a key challenge in the recommendation research field. As a popular method to learn a learner that can rapidly adapt to a new task through a small number of updates, meta-learning is considered to be a feasible algorithm to reduce the error of cold-start recommendation. However, meta-learning does not take the diverse interests of users into account, which limits the performance improvement in cold-start scenarios. In this paper, we proposed a new model for a cold-start recommendation, which combines the attention mechanism and meta learning. This method enhances the ability of modeling the personalized user interest by learning the weights between users and items based on the attention mechanism and then improves the performance of the cold-start recommendation. We validated the model with two publicly available datasets in the recommendation field. Compared with the three benchmark methods, the proposed model reduces the mean absolute error by at least 2.3% and the root mean square error of 2.5%.
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Aruta, G., F. Ascione, O. Boettcher, R. F. De Masi, G. M. Mauro, and G. P. Vanoli. "Machine learning to predict building energy performance in different climates." IOP Conference Series: Earth and Environmental Science 1078, no. 1 (September 1, 2022): 012137. http://dx.doi.org/10.1088/1755-1315/1078/1/012137.
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Abstract Digitalization is sweeping the world of buildings. Notably, the use of machine and deep learning techniques to develop buildings’ digital twins is becoming crucial to foster the energy transition of the construction sector and a sustainable urban growth. Digital twins can ensure a user-friendly, fast and reliable prediction of building energy loads and demands, thereby enabling a comprehensive optimization of planning, design and operation. Accordingly, this study investigates machine learning techniques to predict heating loads of a building in Rome (Italy, Mediterranean conditions, “Csa” climate in the Köppen and Geiger classification) and in Berlin (Germany, European backcountry, “Cfb”). Firstly, the real building, located in Benevento, is used to develop the artificial neural networks (ANNs), then implemented in MATLAB® to achieve meta-models of building energy behavior. NARX (nonlinear autoregressive model with exogenous inputs) networks are used and trained based on simulated data, provided by the well-known building simulation tool EnergyPlus using the software DesignBuilder® as interface. The meta-model inputs are related to weather conditions, while the required outputs concern the thermal energy load for space heating. The analysis is performed with reference to annual forecasts of energy demands. In all cases, the ANNs architecture is optimized to achieve the best fitness with EnergyPlus outputs. The results show that machine learning can be a precious and reliable tool to support energy design and operation of different buildings in different climates. Nonetheless, the meta-modeling procedure needs to be properly conducted by experts to set suitable frameworks and hyperparameter values of the ANNs, as well as to achieve a right and comprehensive interpretation of the results.
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Kołodziej, Joanna, and Fatos Xhafa. "Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids." International Journal of Applied Mathematics and Computer Science 21, no. 2 (June 1, 2011): 243–57. http://dx.doi.org/10.2478/v10006-011-0018-x.
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Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids Tasks scheduling and resource allocation are among crucial issues in any large scale distributed system, including Computational Grids (CGs). These issues are commonly investigated using traditional computational models and resolution methods that yield near-optimal scheduling strategies. One drawback of such approaches is that they cannot effectively tackle the complex nature of CGs. On the one hand, such systems account for many administrative domains with their own access policies, user privileges, etc. On the other, CGs have hierarchical nature and therefore any computational model should be able to effectively express the hierarchical architecture in the optimization model. Recently, researchers have been investigating the use of game theory for modeling user requirements regarding task and resource allocation in grid scheduling problems. In this paper we present two general non-cooperative game approaches, namely, the symmetric non-zero sum game and the asymmetric Stackelberg game for modeling grid user behavior defined as user requirements. In our game-theoretic approaches we are able to cast new requirements arising in allocation problems, such as asymmetric users relations, security and reliability restrictions in CGs. For solving the games, we designed and implemented GA-based hybrid schedulers for approximating the equilibrium points for both games. The proposed hybrid resolution methods are experimentally evaluated through the grid simulator under heterogeneity, and large-scale and dynamics conditions. The relative performance of the schedulers is measured in terms of the makespan and flowtime metrics. The experimental analysis showed high efficiency of meta-heuristics in solving the game-based models, especially in the case of an additional cost of secure task scheduling to be paid by the users.
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Dudek-Dyduch, Ewa, Zbigniew Gomolka, Boguslaw Twarog, and Ewa Zeslawska. "Intelligent ALMM System - implementation assumptions for its Knowledge Base." ITM Web of Conferences 21 (2018): 00002. http://dx.doi.org/10.1051/itmconf/20182100002.
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The paper introduces the concept of implementation assumptions about the Knowledge Base (KB) system cooperating with intelligent information system for the discrete optimization of problem solving, named Intelligent ALMM System. This system utilizes a modeling paradigm named Algebraic Logical Meta Model of Multistage Decision Processes (ALMM) and its theory, both developed by Dudek-Dyduch E. The system solves combinatorial and discrete optimization problems including NP-hard problems with possible user assistance. The models of problems are stored in a Problem Model Library. In this paper the idea of KB for the storage of the properties of problems is presented. The concept of the KB on problems presented in previous works has been extended by introducing an additional module pertaining to the properties of a problems library. A discussion was presented in the context of the selection of tools that enable the construction of such a library as well as its architecture. In the adopted strategy of storing the properties of problems, the interface for exchanging information is compatible with the library of problems using polymorphic and component properties of object-oriented programming. Considerations are explained by means of a sample UML diagram and interface prototypes.
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Mišovič, Milan, and Ivana Rábová. "Enterprise services and object-oriented methodologies." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 7 (2012): 179–88. http://dx.doi.org/10.11118/actaun201260070179.
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In this paper we study the possibility of modifying the conventional, advanced object-oriented methodology for software development of enterprise information systems on an enterprise services platform. The presented solution is preceded with the draft of the formal description of the business process logic and its service solutions. In the design for the introduction of business services there is used the so-called native solution that is very close to the thinking of corporate management. Adjustment of the classic, advanced object-oriented methodology is oriented on its cardinal development phases INSEPTION and ELABORATION. In these two phases important descriptions of relevant information modeling results are formed for the following CONSTRUCTION phase and TRANSITION phase. Editing, however, is methodological, and meta-documented with an example of a transparent graphical description of business services and a logical architecture of the target software.In other words, it means that this contribution provides small software companies with valuable knowledge for the creation of their own development methodologies on a platform of enterprise services. The purpose of this paper is to contribute to the formation of implementing development methodologies, which absorb current knowledge disciplines of Software and Information Engineering.
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Mišovič, Milan, and Ivana Rábová. "Classical Process diagrams and Service oriented Architecture." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 4 (2013): 1023–32. http://dx.doi.org/10.11118/actaun201361041023.
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SOA (Service Oriented Architecture) has played in the last two decades a very useful role in the design philosophy of the target software. The basic units of software for which the mentioned philosophy is valid are called services. Generally it is counted that the advance implementation of services is given by using so–called Web services that are on the platform of the Internet 2.0. Naturally, there has been counted also with the fact that the services will be used in software applications designed by professional programmers. Later, the concept of software services was supported by the enterprise concept of the SOE type (Service oriented Enterprise) and by the creation of the SOA paradigm.Many computer scientists, including Thomas Erl – doyen of SOA, do not understand SOA either as an integrated technology or as a development methodology. Proofs of this statement are in the following definitions.SOA is a form of technology architecture that adheres to the principles of service – orientation. When realized through the Web services technology platform, SOA establishes the potential to support and promote these principles throughout the business processes and automation domains of an enterprise (Erl, 2006). Thomas Erl (Erl, 2007) has expressed the idea of SOA implementation using the following definition.SOA establishes an architectural model that aides to enhance the efficiency, agility, and productivity of an enterprise by positioning services as the primary means through which solution logic is represented in support of the realization of strategic goals associated with service-oriented computing. Nevertheless the key principles, on which SOA is constructed (Erl, 2006), are not significantly reflected in any of the previous definitions. Some of the mentioned principles are still included at least in the more free definitions of SOA, for example (Barry, 2003).A service-oriented architecture is essentially a collection of services. These services communicate with each other. The communication can involve either simple data or it could two or more services coordinating some activity. From the above mentioned we can pronounce a brief description of SOA. “SOA is an architectural style for consistency of business process logic and service architecture of the target software.”It is a complex of means for solution of special analysis, design, and integration of enterprise applications based on the use of enterprise services. The service solutions of the classic business process logic are, of course, based on the application of at least seven key principles of SOA (free relations, service contract, autonomy, abstraction, reusing, composition, no states). Key attributes of SOA are verbally described in (Erl, 2006). They are so important that a separate article should be devoted to their nature and formalization. On the other hand, there is also clear that each service solution of business logic should respect the principles published in SOA Manifesto, 2009, which are essentially derived from the key principles of SOA.In many publications there are given the SOA reference models usually composed of several layers (presentation layer, business process layer, composite services layer, application layer) giving a meta idea of SOA implementation. Perfect knowledge of the business process logic is a necessary condition for the development of a proper service solution. The different types of business processes should be described in the necessary details and contexts.Interestingly, the SOA paradigm does not provide its own method of finding and describing business processes by giving a layered transparent business process diagram. On the other hand, the methodology provides deep understanding of not only the characteristics of services, but also their functionality and implementation of the key principles of SOA (Erl, 2006).Let us assume that the required process diagrams can be achieved by using some of the advanced methods and descriptions. Among many other methods and description, we can introduce for example methods as Eriksson–Penker Business Extensions, ARIS, BORM (Business Object Relation Modeling) and description as BPMN (Business Process Modeling Notation).This offers the idea of using these methods and descriptions for the SOA paradigm for the purposes of process models conversion into schemes of services with built-in orchestration. Conversion of transformations should be based on the knowledge of two artifacts. The first is the output artifact – everything what diagram process provides for the target service scheme and the second is the input artifact – all what service schemes need.The issue of conversion transformations is the main topic of this contribution. Their implementation will allow software companies to move forward in the creation of service production and it gives a new view of the enterprise functionality in a service solution to company management.
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Kolbachev, Evgeniy, Natalya Napkhonenko, Maryna Karayeva, and Dmytro Maloshtan. "Development of specialized models of urban passenger transportation." SHS Web of Conferences 67 (2019): 03005. http://dx.doi.org/10.1051/shsconf/20196703005.
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Peculiarities of transport services for the transportation of passengers, which must be taken into account when creating logistics models for organizing and managing passenger flows, are considered. Need of cost reduction of time of passengers for transport service is proved. The conclusion is drawn on need of the effective transport system creation, for the purpose of observance of intervals of the movement of buses on routes. The possibility of use of architectural approximations classes for the solution of transport logistics problems is analysed. The methods used for solving transport problems where the most widespread is modeling and algorithmization of the determined task formulation strategy with use of a classical algorithm of mathematical programming are considered. The prospects of a meta-heuristic method use is a genetic algorithm for the solution of tasks of the control of city passenger transport adapted to objective conditions are proved. The main features of genetic algorithms consisting in an opportunity by optimization to use criterion function and to consider the necessary number of restrictions are defined. The structure of a chromosome which represents the coded option of the movement of the bus in real time depending on a road situation is received.
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Durak, Umut. "Pragmatic model transformations for refactoring in Scilab/Xcos." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 01 (March 2016): 1541004. http://dx.doi.org/10.1142/s1793962315410044.
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Model-Based Development has become an industry wide standard paradigm. As an open source alternative, Scilab/Xcos is being widely employed as a hybrid dynamic systems modeling tool. With the increasing efficiency in implementation using graphical model development and code generation, the modeling and simulation community is struggling with assuring quality as well as maintainability and extendibility. Refactoring is defined as an evolutionary modernization activity where, most of the time, the structure of the artifact is changed to alter its quality characteristics, while keeping its behavior unchanged. It has been widely established as a technique for textual programming languages to improve the code structure and quality. While refactoring is also regarded as one of the key practices of model engineering, the methodologies and approaches for model refactoring are still under development. Architecture-Driven Modernization (ADM) has been introduced by the software engineering community as a model-based approach to software modernization, in which the implicit information that lies in software artifacts is extracted to models and model transformations are applied for modernization tasks. Regarding refactoring as a low level modernization task, the practices from ADM are adaptable. Accordingly, this paper proposes a model-based approach for model refactoring in order to come up with more efficient and effective model refactoring methodology that is accessible and extendable by modelers. Like other graphical modeling tools, Scilab/Xcos also possesses a formalized model specification conforming to its implicit metamodel. Rather than proposing another metamodel for knowledge extraction, this pragmatic approach proposes to conduct in place model-to-model transformations for refactoring employing the Scilab/Xcos model specification. To construct a structured model-based approach, the implicit Scilab/Xcos metamodel is explicitly presented utilizing ECORE as a meta-metamodel. Then a practical model transformation approach is established based on Scilab scripting. A Scilab toolset is provided to the modeler for in-place model-to-model transformations. Using a sample case study, it is demonstrated that proposed model transformation functions in Scilab provide a valuable refactoring tool.
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Thomas, Jibin B., Shihabudheen KV, Sheik Mohammed Sulthan, and Adel Al-Jumaily. "Deep Feature Meta-Learners Ensemble Models for COVID-19 CT Scan Classification." Electronics 12, no. 3 (January 29, 2023): 684. http://dx.doi.org/10.3390/electronics12030684.
Full textAbstract:
The infectious nature of the COVID-19 virus demands rapid detection to quarantine the infected to isolate the spread or provide the necessary treatment if required. Analysis of COVID-19-infected chest Computed Tomography Scans (CT scans) have been shown to be successful in detecting the disease, making them essential in radiology assessment and screening of infected patients. Single-model Deep CNN models have been used to extract complex information pertaining to the CT scan images, allowing for in-depth analysis and thereby aiding in the diagnosis of the infection by automatically classifying the chest CT scan images as infected or non-infected. The feature maps obtained from the final convolution layer of the Deep CNN models contain complex and positional encoding of the images’ features. The ensemble modeling of these Deep CNN models has been proved to improve the classification performance, when compared to a single model, by lowering the generalization error, as the ensemble can meta-learn from a broader set of independent features. This paper presents Deep Ensemble Learning models to synergize Deep CNN models by combining these feature maps to create deep feature vectors or deep feature maps that are then trained on meta shallow and deep learners to improve the classification. This paper also proposes a novel Attentive Ensemble Model that utilizes an attention mechanism to focus on significant feature embeddings while learning the Ensemble feature vector. The proposed Attentive Ensemble model provided better generalization, outperforming Deep CNN models and conventional Ensemble learning techniques, as well as Shallow and Deep meta-learning Ensemble CNNs models. Radiologists can use the presented automatic Ensemble classification models to assist identify infected chest CT scans and save lives.