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International Conference on Computer Systems, Electronics and Control (ICCSEC)

作者： Zhou, TongFei Pan, YuQing Huang, LiRong JiangSu Univ Sch Comp Sci & Commun Engn Zhenjang Peoples R China

ISBN: (纸本)9781538635735

Guidedby the personalized learning theory, artificial intelligence and data mining technology, this essay has put forward an E-learning system that supports personalized study. Firstly, Use the decision tree algorithm to study the classification of learners, and then send the classified learner model to the reasoning network. Lastly, in order to meet the decision support demands of personalized learning environment, this paper has carried out deep research into rete algorithm, and describes its use method in personalized learning environment. The system can intelligently provide the corresponding decision support according to the classified learner model.

关键词： E-Learning Decision tree rete algorithm

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An Improved rete algorithm with Branch Filtration 13th

An Improved Rete Algorithm with Branch Filtration

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13th Global Congress on Manufacturing and Management (GCMM)

作者： Guo, Chao Xiong, Wei Hao, Liyun Equipment Acad Beijing 101416 Peoples R China

Environment state estimation and control action determination is the key step in industrial environment control. In some complex environments, decisive factors may be various, and each has multiple thresholds, a large number of matching operations have to be done by the controller, and it is a problem to do all rule judgments quickly and precisely. First, the problem is analyzed and main steps and characteristics of rete network for estimation of multiple factors are given. Second, the improvement of conventional rete algorithm, beforehand matching, is analyzed, and then, according to the properties of industrial environments, branch filtration, is introduced based on beforehand matching as a new improvement of rete algorithm. Finally some tests are carried out, and by comparing with conventional rete algorithm and the algorithm with beforehand matching, it can be seen that the improved rete algorithm with branch filtration is effective in reducing unnecessary matching operations. (C) 2017 The Authors. Published by Elsevier Ltd.

关键词： rete algorithm branch filtration beforehand matching complex industrial environment

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An Improved rete algorithm with Branch Filtration

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Procedia Engineering 2017年 174卷 767-772页

作者： Chao Guo Wei Xiong Liyun Hao Equipment Academy Beijing 101416 China

关键词： rete algorithm branch filtration beforehand matching complex industrial environment

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Using GPU to Shorten the Match Time of Rule Reasoning Based on rete algorithm

Using GPU to Shorten the Match Time of Rule Reasoning Based ...

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3rd International Symposium on Computer, Consumer and Control (IS3C)

作者： Guo, Jin-Yu Hwang, Chipan Chen, Mu-Song Natl Changhua Univ Educ Dept Elect 2 Shih Da Rd Changhua 50074 Taiwan Dayeh Univ Dept Elect 168 Univ Rd Dacun 51591 Changhua Taiwan

ISBN: (纸本)9781509030712

Usually, most of execution time of match-resolve-act reasoning cycle is spent in the matching phase. This issue has prevented the applicability of rule base systems. In this paper, the parallelism of alpha- and beta-networks constructions in rete algorithm have been realized on Graphics Processing Unit (GPU). It is possible to speed up the reasoning time 20 times faster than the current high performance multi-core processors. Furthermore, the parallel realization of rete algorithm with GPU should be helpful on developing intelligent agents or data mining, using rule base systems.

关键词： rete algorithm GPU CUDA Rule Base Forward-Chaining

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Implementation of rete algorithm Using Course Finder System

Implementation of RETE Algorithm Using Course Finder System

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International Conference on Data Mining and Advanced Computing (SAPIENCE)

作者： Pallavi, M. S. Vaisakh, P. Reshna, N. P. Amrita Vishwa Vidyapeetham Univ Dept Comp Sci Mysuru Campus Mysuru Karnataka India

ISBN: (纸本)9781467385947

The rete algorithm is an efficiently organized pattern matching algorithm for implementing production rule systems, used to determine which of the production rules should fire based on its data store. This paper presents how rete algorithm can be used to improve the efficiency of expert system recommendation. The 'COURSE FINDER' is an expert undergraduate course recommendation system. This system aims to assist undergraduate students who wish to join Amrita School of Arts and Sciences, Mysore. This expert system enables students to select suitable courses based on their skill sets without needing to consult an advisor. This system works on Rule based mechanism and rete algorithm. The result was expected, where most of the undergraduate students who tested the system, were satisfied.

关键词： Expert system rete algorithm Rule based system Inference engine Knowledge Base

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Using GPU to Shorten the Match Time of Rule Reasoning Based on rete algorithm

Using GPU to Shorten the Match Time of Rule Reasoning Based ...

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International Symposium on Computer, Consumer and Control

作者： Jin-Yu Guo Chipan Hwang Mu-Song Chen Dept. of Electron. Nat. Changhua Univ. of Educ. Changhua Taiwan Dept. of Electr. Da Yeh Univ. Changhua Taiwan

ISBN: (纸本)9781509030729

Usually, most of execution time of match-resolve-act reasoning cycle is spent in the matching phase. This issue has prevented the applicability of rule base systems. In this paper, the parallelism of α- and β-networks constructions in rete algorithm have been realized on Graphics Processing Unit (GPU). It is possible to speed up the reasoning time 20 times faster than the current high performance multi-core processors. Furthermore, the parallel realization of rete algorithm with GPU should be helpful on developing intelligent agents or data mining, using rule base systems.

关键词： rete algorithm GPU CUDA Rule Base Forward-Chaining

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An expert system for analysing the printability and integratability of assembly structures under the context of design for additive manufacturing

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JOURNAL OF ENGINEERING DESIGN 2023年第9期34卷 691-717页

作者： Yang, Maolin Dai, Wei Jiang, Pingyu Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn Xian Peoples R China Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn Xian 710054 Peoples R China

Additive manufacturing (AM) has the capability of producing parts with more complicated shapes and functions compared with subtractive manufacturing. Design for additive manufacturing (DfAM) aims at producing design solutions that can be additively manufactured. During DfAM, analysing the printability and integratbility of a target assembly are important tasks. However, the tasks require systematic analysis of the structural/functional/material characteristics, working conditions, and interaction relations among the parts in the target assembly, fully understanding of the capability and limitation of the applied AM equipment, and comprehensive design decision-making considering the characteristics of AM processing, etc. This makes it challenging to conduct printability and integratbility analysis tasks. In this regard, an expert system is established which is realised with Function-Behaviour-Structure oriented assembly structure characteristic analysing, ontology instance-based assembly structure characteristic modelling, and modified rete algorithm-based design decision-making. The system is capable of providing decision guidance on which parts in a target assembly can be printed and which among these printable parts can be printed integratedly. In this way, it can support DfAM implementation in a computer-aided manner. A WebApp that encapsulates the system is developed, and a robot arm DfAM redesign project is used as a case study.

关键词： Design for additive manufacturing expert system ontology modelling rete algorithm

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A Control Method of Ubiquitous Computers Using the rete algorithm in Grid Topology Network 3

A Control Method of Ubiquitous Computers Using the Rete Algo...

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3rd IEEE Global Conference on Consumer Electronics (GCCE)

作者： Kawakami, Tomoya Yoshihisa, Tomoki Tsukamoto, Masahiko Osaka Univ Cybermedia Ctr Osaka Japan Kobe Univ Grad Sch Engn Kobe Hyogo Japan

ISBN: (纸本)9781479951468

In this paper, we propose a control method of ubiquitous computers using the rete algorithm in grid topology network. The proposed method distributes and reduces the loads for processing rules and collecting data based on the rete algorithm. We evaluated the proposed method and confirmed that the proposed method reduces the network traffic as loads.

关键词： data acquisition grid computing knowledge based systems pattern matching ubiquitous computing rete algorithm data collection grid topology network load distribution load reduction network traffic reduction processing rules ubiquitous computers Actuators Educational institutions Network topology Production systems Sensors Topology Ubiquitous computing

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Tiny-UKSIE: An Optimized Lightweight Semantic Inference Engine for Reasoning Uncertain Knowledge

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INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS 2022年第1期18卷 1页

作者： Geng, Daoqu Li, Haiyang Liu, Chang Chongqing Univ Posts & Telecommun Coll Automat Chongqing Peoples R China

The application of semantic web technologies such as semantic inference to the field of the internet of things (IoT) can realize data semantic information enhancement and semantic knowledge discovery, which plays a key role in enhancing data value and application intelligence. However, mainstream semantic inference engines cannot be applied to IoT computing devices with limited storage resources and weak computing power and cannot reason about uncertain knowledge. To solve this problem, the authors propose a lightweight semantic inference engine, Tiny-UKSIE, based on the rete algorithm. The genetic algorithm (GA) is adopted to optimize the Alpha network sequence, and the inference time can be reduced by 8.73% before and after optimization. Moreover, a four-tuple knowledge representation method with probability factors is proposed, and probabilistic inference rules are constructed to enable the inference engine to infer uncertain knowledge. Compared with mainstream inference engines, storage resource usage is reduced by up to 97.37%, and inference time is reduced by up to 24.55%.

关键词： IoT Edge Computing rete algorithm Semantic Inference Engine Uncertain Knowledge

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Design and Implementation of System Generator Based on Rule Engine 3

Design and Implementation of System Generator Based on Rule ...

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3rd International Conference on Mechatronics and Intelligent Robotics (ICMIR)

作者： Qu, Kun Gong, Ting Shao, Jianfei Kunming Univ Sci & Technol Sch Informat Engn & Automat Kunming 650500 Yunnan Peoples R China

At present, most small and medium-sized enterprises still adopt the "hard coding" method to develop system, in this way, it lack of flexibility and reusability, and disable to respond users' need with continuous updating quickly. To address this problem, we design a rule engine-based system generator that uses the improved rete algorithm to match data objects with user-defined rules (production) and then implement specific functions through the system generator. Compared with the traditional development mode, this method is more concise and fast, has better reusability, and can effectively solve some problems of the traditional development methods. The user only need to configure the fact data according to the existing rules, and the system autonomously processes according to the configuration instance to generate various functions. The paper mainly introduces the implementation of the rule engine and the system generator. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： Rule engine rete algorithm Configuration instance System generator

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