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In this paper partially-perturbed particle swarm optimization (PPSO) is applied for the parameter identification in Reaction - Regeneration System Model. Based on the mechanism model, the experimental data are obtained, and the first order plus dead time (FOPDT) mathematical model is established for different groups of parameters. We use the double input-double output (DIDO) Robustness, Tracking,...
The paper focuses on the grasp requirements derived from the voluntary and involuntary physical interactions in instrument manipulations. The manipulation-oriented grasp requirements include interactive wrench requirements and motion requirements that are required to accomplish a manipulation task. The manipulation-oriented grasp requirements are directly associated with the functionality of the instrument...
Class evolution, the phenomenon of class emergence and disappearance, is an important research topic for data stream mining. All previous studies implicitly regard class evolution as a transient change, which is not true for many real-world problems. This paper concerns the scenario where classes emerge or disappear gradually. A class-based ensemble approach, namely Class-Based ensemble for Class...
In this paper, we present a dynamic-compiler-directed approach which adaptively configures CPU's function units at runtime. It is based on Jikes RVM's dynamic optimizing compiler and is designed to achieve higher energy efficiency. We describe the implementation to support compiler-controlled adaptive FU and the cost/benefit heuristic of selecting optimization targets to save energy. Our experiment...
In this paper, after the introduction of ontology-based knowledge bases and user models, a model of recommendation agents that can query over distributed knowledge bases with heterogeneity for web-based intelligent query answering systems is proposed, and the query answering process of these agents is analyzed. Ontologies are introduced to describe the semantic information of knowledge bases in order...
After discussing and formalizing domain knowledge representation and user models, a formal model of emotional pedagogical agents in intelligent tutoring systems is presented in this paper, and the functionalities of model are described in detail. This kind of emotional pedagogical agent considers users' emotional statues during the process of producing personalized learning units dynamically based...
Model evolution is an essential activity in software system modeling, which is traditionally supported by manual editing or writing model transformation rules. However, the current state of practice for model evolution presents challenges to those who are unfamiliar with model transformation languages or metamodel definitions. This demonstration presents a demonstration-based approach that assists...
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