The development of database technology, every-increasing needs of enterprise management for decision-making support and the comprehensive application of AI are driving the theories and technology of data mining and kn...
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The main purpose of this work consists in developing a design methodology, integrating knowledgebasedengineering features, such as expert rules definition or design experience feedback, in order to reduce costs, lea...
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ISBN:
(纸本)1904670024
The main purpose of this work consists in developing a design methodology, integrating knowledgebasedengineering features, such as expert rules definition or design experience feedback, in order to reduce costs, lead time and also improve product qualities and values. This methodology helps the designer to drive parametric product CAD models with product functional requirements and design rules, in a collaborative design process, using a Product Lifecycle Management (PLM) environment. After a presentation of the industrial requirements, we will present technical and functional analysis, integrated into our self-developed web-based PLM platform and particularly the functional parameters and the specific parameters. Then we present our concepts of generating and automatically driving a parametric product architecture in a commercial CAD software program. The main advantage of this methodology is to keep the parameters linked together, between the several stages of the product tree (product, subproduct, parts, etc.) in order to help the product architect to impact the entire CAD model, if only one modification occurs on a functional or specific parameter. To validate our research hypotheses, an experimental case study is chosen: the ground-link system of a racing car design and manufacturing project, including conceptual, embodiment and detailed design phases, and also manufacturing phases.
The MPEG-7 texture description tools are applied to the retrieval of the historical aerial photographs. These aerial photographs had been digitized into gray-scaled and low-resolution images to build a digital library...
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ISBN:
(纸本)3540288953
The MPEG-7 texture description tools are applied to the retrieval of the historical aerial photographs. These aerial photographs had been digitized into gray-scaled and low-resolution images to build a digital library. The aerial image retrieval over the digital library is achieved on the basis of 1) texture feature extraction methods, which are homogeneous texture, texture browsing and edge histogram in the MPEG-7 texture descriptors, and 2) their corresponding similarity measurements. The image retrieval methods are evaluated over a collection of historical aerial photographs. The paper presents the retrieval results of these texture feature extraction methods.
Architecture-basedsoftware performance optimisation can help to find potential performance problems and mitigate their negative effects at an early stage. To automate this optimisation process, rule-based and metaheu...
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A de facto technological standard of data science is based on notebooks (e.g., Jupyter), which provide an integrated environment to execute data workflows in different languages. However, from a data engineering point...
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ISBN:
(纸本)9783030590659;9783030590642
A de facto technological standard of data science is based on notebooks (e.g., Jupyter), which provide an integrated environment to execute data workflows in different languages. However, from a data engineering point of view, this approach is typically inefficient and unsafe, as most of the data science languages process data locally, i.e., in workstations with limited memory, and store data in files. Thus, this approach neglects the benefits brought by over 40 years of R&D in the area of data engineering, i.e., advanced database technologies and data management techniques. In this paper, we advocate for a standardized data engineering approach for data science and we present a layered architecture for a data processing pipeline (DPP). This architecture provides a comprehensive conceptual view of DPPs, which next enables the semi-automation of the logical and physical designs of such DPPs.
The prevalent application of domain-specific modeling languages (DSMLs) requires developers to initially specify the requirements for a software product as a domain-specific model then transform that model to a high-l...
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The prevalent application of domain-specific modeling languages (DSMLs) requires developers to initially specify the requirements for a software product as a domain-specific model then transform that model to a high-level language for subsequent execution. An alternative is to realize behavior directly by executing the models using a specialized interpreter. One category of interpreted domain-specific modeling languages (DSMLs) derives behavior from changes to models at runtime. These are termed interpreted DSMLs or simply i-DSMLs. Existing interpreters for i-DSMLs exhibit tight coupling between the implicit model of execution (MoE) and the semantics of the domain. The interweaving of these two concerns compounds the challenge of developing interpreters for new i-DSMLs without a significant investment in resources. This paper introduces a generalized approach to developing i-DSML interpreters by utilizing a generic framework that is loosely coupled to the domain-specific knowledge as swappable framework extensions. We present a prototype as validation of our approach implemented using a metamodel based architecture to instantiate the interpreter for two distinct cyber-physical domains. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
Aimed at the question that goal programming is lack of modeling support and the automatic generation of model during the process of modeling, this paper systematically researches the modeling question of goal programm...
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ISBN:
(纸本)9781424412945
Aimed at the question that goal programming is lack of modeling support and the automatic generation of model during the process of modeling, this paper systematically researches the modeling question of goal programming using knowledgeengineering, machine learning and such theories, and proposes the theoretical system of "practical questions - knowledgeable information model - knowledgeable mathematical model knowledgeable solution model". The study opens up the method of a knowledge-based model to solve goal programming questions. The research makes the application of goal programming step forward to the intelligent direction.
In recent years, online distribution of academic lectures to distance locations has occurred through the rapid development of Internet technology. However, the main challenge to distance learning is student motivation...
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ISBN:
(纸本)9783540748281
In recent years, online distribution of academic lectures to distance locations has occurred through the rapid development of Internet technology. However, the main challenge to distance learning is student motivation, since it is more difficult to maintain long-term concentration in an isolated environment. Recently, there are many students who can't write proper documents. In this circumstance, they have to learn the systematic decision process of specifications and programming using softwareengineering. We become an author engaged in software development in a corporation, and develop a program. This system can be systematically learned from system designs to programming. The problems will become clear when they make programs with documentation. Firstly, students grasp a design image from general program learning. They learn system design and the documentation necessary to create quality work. Then, this system is used by the Perl language on the Web. The design and program then become compatible on the Web. They study at their own pace by independent learning-provided it is user-friendly. Using this system, the teacher could track and evaluate a student's degree of understanding, and send individual advice via e-mail. But there is the problem that a frame won't be designated because it doesn't decide uniformly. It selects a way of effectively grouping a person and the system.
With the increasing popularity of e-learning, much attention has been focused not only on individualized learning but also on collaborative learning in where several learners participate. In this research, a system de...
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ISBN:
(纸本)9783540748281
With the increasing popularity of e-learning, much attention has been focused not only on individualized learning but also on collaborative learning in where several learners participate. In this research, a system designed to actualize collaborative learning is developed. The contents of collaborative learning to run on the system are prepared and subsequently validation experiments have been conducted. This paper describes the agent-oriented collaborative learning system and the contents of the collaborative learning exercise, and reports the results of the validation experiment that is conducted.
Robotic applications are typically realized using ad hoc and domain-specific solutions, which challenges the engineering and cross-project reuse of such applications. Especially in complex scenarios, where self-adapti...
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ISBN:
(纸本)9781538663981
Robotic applications are typically realized using ad hoc and domain-specific solutions, which challenges the engineering and cross-project reuse of such applications. Especially in complex scenarios, where self-adaptive robots collaborate among themselves or with humans, the effective and systematic engineering of such applications is becoming increasingly important. Such scenarios require decentralized software architectures that foster fault-tolerant ways of managing large teams of (possibly) heterogeneous robots. To the best of our knowledge, no existing architecture for robot applications supports decentralized and self-adaptive collaboration. To address this gap, we conducted a design science study with 21 practitioners and experts in the field of robotics to develop an architecture fulfilling these requirements through several iterations. We present SERA, an architecture for robot applications that supports human-robot collaboration, as well as adaptation and coordination of single- and multi-robot systems in a decentralized fashion. SERA is based on layers that contain components that manage the adaptation at different levels of abstraction and communicate through well-defined interfaces. We successfully validated SERA by considering a set of real scenarios, by both using simulators and real robots, by involving robotic experts, and by benchmarking it with state-of-the-art solutions.
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