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DECISION SUPPORT SYSTEMS 1998年第4期22卷 355-377页

作者： Tsai, YC Natl Cheng Kung Univ Dept Business Adm Tainan 701 Taiwan

Structured modeling language (SML) is a modeling language for the structured modeling framework which represents the semantics as well as mathematical structure of a model. This paper extends some structured modeling concepts and defines SML schema operations for formalizing model integration. Executing any of the operations could possibly disrupt the integrity of an SML model schema. Some major propositions and several examples in the paper settle practically many of the open questions for the operations studied. This research not only contributes an operational approach to perform model integration in SML, but also allows us to understand how different kinds of schema edits can disrupt the formal correctness of SML, and what can be done about it. It helps lay the foundation for the future development of an incremental static semantic analyzer and smart schema-directed editor. (C) 1998 Elsevier Science B.V. All rights reserved.

关键词： model integration model management modeling language structured modeling SML

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model integration AND A THEORY OF modelS

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DECISION SUPPORT SYSTEMS 1993年第1期9卷 51-63页

作者： DOLK, DR KOTTEMANN, JE UNIV MICHIGAN SCH BUSINESS ADMANN ARBORMI 48109

model integration extends the scope of model management to include the dimension of manipulation as well. This invariably leads to comparisons with database theory. model integration is viewed from four perspectives: Organizational, definitional, procedural, and implementational. Strategic modeling is discussed as the organizational motivation for model integration. Schema and process integration are examined as the logical and manipulation counterparts of model integration corresponding to data definition and manipulation, respectively. A model manipulation language based on structured modeling and communicating structured models is suggested which incorporates schema and process integration. The use of object-oriented concepts for designing and implementing integrated modeling environments is discussed. model integration is projected as the springboard for building a theory of models equivalent in power to relational theory in the database community.

关键词： model integration SCHEMA integration PROCESS integration STRUCTURED modelING COMMUNICATING SEQUENTIAL PROCESSES INTEGRATED modelING ENVIRONMENTS

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model integration and modeling Languages: A Process Perspective

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INFORMATION SYSTEMS RESEARCH 1992年第1期3卷 1-16页

作者： Kottemann, Jeffrey E. Dolk, Daniel R. Univ Michigan Sch Business Adm Ann Arbor MI 48109 USA Naval Postgrad Sch Dept Adm Sci Monterey CA 93943 USA

Development of large-scale models often involves or, certainly could benefit from linking existing models. This process is termed model integration and involves two related aspects: (1) the coupling of model representations, and (2) the coupling of the processes for evaluating, or executing, instances of these representations. Given this distinction, we overview model integration capabilities in existing executable modeling languages, discuss current theoretical approaches to model integration, and identify the limiting assumptions implicitly made in both cases. In particular. current approaches assume away issues of dynamic variable correspondence and synchronization in composite model execution. We then propose a process-oriented conceptualization and associated constructs that overcome these limiting assumptions. The constructs allow model components to be used as building blocks for more elaborate composite models in ways unforeseen when the components were originally developed. While we do not prove the sufficiency of the constructs over the set of all model types and integration configurations, we present several examples of model integration from various domains to demonstrate the utility of the approach.

关键词： model management model integration modeling systemc modeling languages

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Screening of oxidative stress components of cigarette smoke based on machine learning model integration

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Toxicology and applied pharmacology 2025年 500卷 117387页

作者： Yuxin Hong Jiayu Lv Yuxuan Hong Jiahao Wang Xuhao Huang Chao Chen Key Laboratory of Modern Toxicology of Ministry of Education Center for Global Health School of Public Health Nanjing Medical University 101 Longmian Avenue Nanjing 211166 PR China. Key Laboratory of Modern Toxicology of Ministry of Education Center for Global Health School of Public Health Nanjing Medical University 101 Longmian Avenue Nanjing 211166 PR China Changzhou Medical Center Nanjing Medical University 68 Mid Gehu Road Changzhou 213164 PR China. Electronic address: chenchao1990@***.

Cigarette smoke, a complex mixture of more than 7000 chemicals, poses a significant threat to human health, with oxidative stress being an important mechanism in its associated diseases. Traditional methods for assessing the toxicity of cigarette smoke components, such as animal and cell-based assays, are often limited by their high cost and time consumption. This study integrates multiple machine learning algorithms and diverse data sources to construct a robust predictive model for identifying oxidative stress-inducing components in cigarette smoke. Utilizing a multi-dataset, multi-target and multi-algorithm modeling strategy, we developed an integrated model comprising 704 sub-models. These models were trained from 9 datasets related to reactive oxygen species (ROS)-associated pathways. The integrated model demonstrated better performance in external validation compared to individual models, predicting 974 ROS-positive components from 7111 cigarette smoke components. These components were clustered into 10 major classes, providing new insights into the structural diversity of oxidative stress-inducing components in cigarette smoke. Our findings offer a novel approach for enhancing the predictive capability of toxicity models and advancing the understanding of oxidative stress-related toxicity in cigarette smoke components.

关键词： Cigarette smoke Machine learning model integration Oxidative stress components Structural clustering

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model integration for HMM- and DNN-based speech synthesis using Product-of-Experts framework 17

Model integration for HMM- and DNN-based speech synthesis us...

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17th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2016)

作者： Tachibana, Kentaro Toda, Tomoki Shiga, Yoshinori Kawai, Hisashi Natl Inst Informat & Commun Technol Tokyo Japan Nagoya Univ Ctr Informat Technol Nagoya Aichi Japan

ISBN: (纸本)9781510833135

In this paper, we propose a model integration method for hidden Markov model (HMM) and deep neural network (DNN) based acoustic models using a product-of-experts (PoE) framework in statistical parametric speech synthesis. In speech parameter generation, DNN predicts a mean vector of the probability density function of speech parameters frame by frame while keeping its covariance matrix constant over all frames. On the other hand, HMM predicts the covariance matrix as well as the mean vector but they are fixed within the same HMM state, i.e., they can actually vary state by state. To make it possible to predict a better probability density function by leveraging advantages of individual models, the proposed method integrates DNN and HMM as PoE, generating a new probability density function satisfying conditions of both DNN and HMM. Furthermore, we propose a joint optimization method of DNN and HMM within the PoE framework by effectively using additional latent variables. We conducted objective and subjective evaluations, demonstrating that the proposed method significantly outperforms the DNN-based speech synthesis as well as the HMM-based speech synthesis.

关键词： speech synthesis deep neural network hidden Markov model model integration product-of-experts

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A semantic framework for enabling model integration for biorefining

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COMPUTERS & CHEMICAL ENGINEERING 2017年 100卷 219-231页

作者： Koo, Linsey Trokanas, Nikolaos Cecelja, Franjo Univ Surrey Ctr Proc & Informat Syst Engn Guildford GU2 7XH Surrey England Univ Cambridge Ctr Int Mfg Inst Mfg 17 Charles Babbage Rd Cambridge CB3 0FS England

This paper introduces a new paradigm for establishing a framework that enables interoperability between process models and datasets using ontology engineering. Semantics are used to model the knowledge in the domain of biorefining including both tacit and explicit knowledge, which supports registration and instantiation of the models and datasets. Semantic algorithms allow the formation of model integration through input/output matching based on semantic relevance between the models and datasets. In addition, partial matching is employed to facilitate flexibility to broaden the horizon to find opportunities in identifying an appropriate model and/or dataset. The proposed algorithm is implemented as a web service and demonstrated using a case study. (C) Crown Copyright 2017 Published by Elsevier Ltd. All rights reserved.

关键词： Ontology engineering model integration Computer aided process engineering (CAPE) Biorefining

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model integration on MDA based on ontology merging method 2

Model Integration on MDA based on ontology merging method

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2nd Conference of the Iberica de Sistemas e Tecnologias de Informacao

作者： Lozano-Tello, Adolfo Prieto, Alvaro E. Rodriguez-Echeverria, Roberto Univ Extremadura Dept Ingn Sistemas Informat & Telemat Caceres 10071 Spain

ISBN: (纸本)9789728830885

model integration becomes a main issue in MDA-based development processes when a merger of two or more companies occurs. Therefore, it is mandatory to automate said processes as much as possible because it is a huge expenditure of effort and time. From a conceptual point of view, model integration and ontology integration are very similar processes. This work presents a method for model integration in MDA, called PUBOP, based on PROMPT, a well-known integration method for ontological conceptual models.

关键词： MDA model integration ontology PUBOP PROMPT

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OBJECT-ORIENTED model integration IN A FINANCIAL DECISION SUPPORT SYSTEM

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DECISION SUPPORT SYSTEMS 1991年第4期7卷 329-340页

作者： DEMPSTER, MAH IRELAND, AM Dalhousie Univ. Halifax N.S. B3H 1Z5 Canada

Decision support systems for users without modeling expertise require domain-specific modeling knowledge to translate between conceptual and mathematical problem views. In complex, dynamic decision situations using multiple model types, the system must create and modify individual models to reflect changing conditions and assumptions, maintain consistency among different models in the same decision situation and allow communication among models for their complementary use, all without relying on user expertise. This paper describes a system for debt decision support which flexibly formulates and integrates optimization and simulation modeling and heuristic reasoning for non-expert users through an object-oriented, domain-specific knowledge base. Stable domain relationships and mathematical procedures are encapsulated in domain object classes;domain object instances are combined to form common model representations manipulated by operators specific to each model type. The approach is applicable in domains in which stable entities and interactions exist and in which model flexibility results from varying combinations of entities - conditions which are found in many financial and other business modeling situations.

关键词： model MANAGEMENT model integration SCENARIO-BASED DYNAMIC STOCHASTIC PROGRAMMING FINANCIAL DECISION SUPPORT SYSTEMS

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Heterogeneous model integration of complex mechanical parts based on semantic feature fusion

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ENGINEERING WITH COMPUTERS 2017年第4期33卷 797-805页

作者： Yi, Bing Li, Xiongbing Yang, Yue Cent S Univ Sch Traff & Transportat Engn Changsha 410075 Hunan Peoples R China

Due to the rapid development of computer, sensor, and automatic control technologies, the amount of data generated during product design and manufacturing is increasing significantly. The product data bank is large, complex, heterogeneous, and often fast-changing;it is difficult to integrate heterogeneous models using the conventional method. Therefore, a semantic feature fusion-based heterogeneous model integration method is proposed. First, the error in the geometric dimensions and position are extracted using model registration. Second, the basic geometric feature is obtained using slippage analysis. Third, the extracted data, such as the basic geometric feature and the error in the geometric dimensions and position, are fused into the design model using the level set method. Finally, the marching cubes method is introduced to reconstruct the surface of the fused model. The empirical results demonstrate that the proposed algorithm can integrate all types of semantic features and geometric features into a basic product model effectively and efficiently.

关键词： Semantic feature extraction Level set method model integration Heterogeneous model

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A flexible model integration approach for evaluating tradeoffs between CO₂ emissions and cost in solid oxide fuel cell-based building energy systems

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INTERNATIONAL JOURNAL OF ENERGY RESEARCH 2005年第14期29卷 1261-1278页

作者： Koyama, M Kraines, S Univ Tokyo Dept Chem Syst Engn Bunkyo Ku Tokyo 1138656 Japan Tohoku Univ Dept Appl Chem Aoba Ku Sendai Miyagi 9808579 Japan

A simulation framework for flexible evaluation of various distributed building energy systems based on the integration of component device simulation models is presented. Device technology models were constructed for a solid oxide fuel cell (SOFC), a gas turbine, a double pipe heat exchanger, and a compressor. A scheme is proposed for defining model interfaces in order to improve the flexibility and accessibility of the models. Based on that scheme, interfaces are defined for each device model. The component device models are integrated to construct system models of (1) a hybrid system combining an SOFC and a gas turbine (SOFC/GT system) and (2) a stand-alone SOFC system. The integrated model of the SOFC/GT system is then used to carry out a multi-objective optimization in order to study the tradeoffs between cost and CO2 emissions of the SOFC system operation for a given electricity demand. Through these analyses, the optimal configuration of the SOFC/GT system and the optimal operation conditions of the SOFC system for the given electricity demand were explored. Copyright (c) 2005 John Wiley & Sons, Ltd.

关键词： SOFC/GT system SOFC solid oxide fuel cell object-based modelling model integration multi-objective optimization

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