Search results for "rule-based"
showing 10 items of 53 documents
Greenfield or M&A? An institutional and learning perspective on the establishment mode choice of Chinese outward investments
2020
Abstract We develop and test a model of Chinese greenfield investments using institutional and learning theories. Both the host country institutional context and the firm's international characteristics affect the establishment mode. Using 152 Chinese emerging market multinationals (EMNEs) with 401 subsidiaries distributed in 26 countries from 2003 to 2013, we build a database of 284 pairs of host country/Chinese firms to test two hypotheses. We find that, first, governance environment affects the establishment mode: greenfield investments are preferred over acquisitions in relation-based host markets, and M&As are preferred in rule-based countries. Second, the depth of Chinese EMNEs' inter…
A multi-agent system for managing adverse weather situations on the road network
2010
The development of traffic management and control strategies to improve traffic flows and road safety is necessary due to the high dynamism of traffic flows. The use of distributed intelligent systems can help the traffic organizations and the road operators to cope with possible incidents on the road network, especially when the incidents are related to adverse meteorological conditions. In that case, the probability of road accidents is increased due to the difficulty of driving under bad weather conditions. So, if the operators detect any meteorological incident, they must decide how to deal with it in order to improve traffic safety. In this paper we introduce a new multiagent system (M…
Application of distributed expert systems to the advanced control of smart houses
2003
Abstract A distributed expert system has been proposed for the smart house control. Its configuration is mainly based on the use of distributed nodes connected by means of a CAN network. This kind of systems allow the implementation of highly flexible control systems capable of adapting themselves to different situations. The expert system used is based on Rule Nets (RN), which are a formalism that seeks to express an automatism in a similar way to as would make it a human being: "IF antecedents THEN consequents". But at the same time Rule nets are a tool for the design, analysis and implementation of rule based systems (RBS), and consist on a mathematic-logical structure which analytically…
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability
2020
Despite significant effort, building models that are both interpretable and accurate is an unresolved challenge for many pattern recognition problems. In general, rule-based and linear models lack accuracy, while deep learning interpretability is based on rough approximations of the underlying inference. Using a linear combination of conjunctive clauses in propositional logic, Tsetlin Machines (TMs) have shown competitive performance on diverse benchmarks. However, to do so, many clauses are needed, which impacts interpretability. Here, we address the accuracy-interpretability challenge in machine learning by equipping the TM clauses with integer weights. The resulting Integer Weighted TM (…
A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts
2019
Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from rule-based methods often does not match histological data in other areas of the heart such as the right ventricle, having a negative impact in cardiac simulations beyond the left ventricle. In this work, we present a rule-based method where fiber orientation is separately modeled in each ventricle following observations from histology. This allows to create detailed fiber orientation in specific regions such as the endocardium of the right ventricle, the inter…
Implementing a Margolus Neighborhood Cellular Automata on a FPGA
2003
Margolus neighborhood is the easiest form of designing Cellular Automata Rules with features such as invertibility or particle conserving. In this paper we introduce a notation to describe completely a rule based on this neighborhood and implement it in two ways: The first corresponds to a classical RAM-based implementation, while the second, based on concurrent cells, is useful for smaller systems in which time is a critical parameter. This implementation has the feature that the evolution of all the cells in the design is performed in the same clock cycle.
A configurable rule based classful token bucket filter network request scheduler for the lustre file system
2017
HPC file systems today work in a best-effort manner where individual applications can flood the file system with requests, effectively leading to a denial of service for all other tasks. This paper presents a classful Token Bucket Filter (TBF) policy for the Lustre file system. The TBF enforces Remote Procedure Call (RPC) rate limitations based on (potentially complex) Quality of Service (QoS) rules. The QoS rules are enforced in Lustre's Object Storage Servers, where each request is assigned to an automatically created QoS class.The proposed QoS implementation for Lustre enables various features for each class including the support for high-priority and real-time requests even under heavy …
Ambiguity and complementation in recognizable two-dimensional languages
2008
The theory of one-dimensional (word) languages is well founded and investigated since fifties. From several years, the increasing interest for pattern recognition and image processing motivated the research on two-dimensional or picture languages, and nowadays this is a research field of great interest. A first attempt to formalize the concept of finite state recognizability for two-dimensional languages can be attributed to Blum and Hewitt ([7]) who started in 1967 the study of finite state devices that can define two-dimensional languages, with the aim to finding a counterpart of what regular languages are in one dimension. Since then, many approaches have been presented in the literature…
La sufixació apreciativa del català: creacions lèxiques i implicacions morfològiques
2015
Resum: La situació de la derivació apreciativa dins la morfologia és excepcional, perquè la informació limitada que contenen, en general, les gramàtiques i els diccionaris sobre els apreciatius així com l’ús habitual d’aquestes formes en contextos familiars i informals fan que la creativitat dels parlants no es vegi limitada per normatives i que, per tant, aflorin solucions imaginatives, que, tot i la variació existent, segueixen uns condicionaments gramaticals clars. L’objectiu d’aquest treball és aportar noves dades en aquest camp a partir de formes recollides en corpus tradicionals i per internet, amb una doble finalitat: d’una banda, aprofundir en les particularitats morfològiques de la…
Fast Image Restoration Algorithms Based on PDE Models Using Modified Hopfield Neural Network
2010
Two image restoration algorithms based on modified Hop field neural network and variational partial differential equations (PDE) were proposed in our previous work [1, 2]. But the convergence rate of the proposed algorithms was slow. In this paper, we develop a fast update rule based on modified Hop field neural network (MHNN) of continuous state change and two fast image restoration algorithms. Experimental results show that, when compared with the previous algorithms, our proposed algorithms have better performance both in convergence rate and in image restoration quality.