In an attempt to propose a robust method for understanding natural language (NL) interface commands, a scheme is proposed that infers intentions from an indirect speech-act that does not express users' real intent...
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In an attempt to propose a robust method for understanding natural language (NL) interface commands, a scheme is proposed that infers intentions from an indirect speech-act that does not express users' real intentions explicitly. This method classifies the real intentions of the indirect speech-act into: 1) refusal;2) reversal;3) restriction;4) benefit;and 5) disability. Further, concepts are abstracted for operations, e.g., displaying, moving, and deleting information systems;and constructing the operation knowledge base. This knowledge based comprises operational concepts and the relationships between them. These relationships are assigned the foregoing classifications for intentions. In addition, we construct the knowledge base of objects for the target of operations, e.g., files, figures, strings. This knowledge base contains the relationships: a) antonym;b) exclusive;c) part-of, between the objects;and uses these relations to infer the transitions between the objects. An algorithm is the proposed to infer concepts for operations and concepts for target objects of operations that may represent the user's actual intentions. This proposal scheme was tested with requests on UNIX and a commercially available Japanese Word Processor. The system successfully inferred the intentions for approximately 80 percent of the user's indirect speech-act.
This paper presents a new kind of portability system, Unify, which modifies the PVM message passing system to provide (currently a subset of) the message Passing Interface (MPI) standard notation for message passing. ...
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This paper presents a new kind of portability system, Unify, which modifies the PVM message passing system to provide (currently a subset of) the message Passing Interface (MPI) standard notation for message passing. Unify is designed to reduce the effort of learning MPI, while providing a sensible means to make use of MPI libraries and MPI calls (while applications continue to run in the PVM environment). We are convinced that this strategy will reduce the costs of porting completely to MPI, while providing a gradual environment within which to evolve. Furthermore, it will permit immediate use of MPI-based parallel libraries in applications, even for those applications that continue to use PVM for message passing. We describe several paradigms for supporting MPI and PVM message passing notations in a single environment, and note related work on MPI and PVM implementations. We show the design options that existed within our chosen paradigm (which is an MPI interface added to the base PVM system) and why we chose that particular approach. We indicate the total evolution path of porting a PVM application to MPI with the help of porting libraries. Finally, we indicate our current directions and planned future work.< >
作者:
Chiodo, E.Menniti, D.Testa, A.Picardi, C.Elio Chiodo (1959) received the degree in Electronics Engineering in 1985
and the Ph.D. degree in Computational Statistics both from the University of Naplefltaly. He is a Researcher at the Department of Electrical Engineering of the University of Naples and a member of the Italian Statistical Society. His areas of interest include probabilistic methods applied to electric power systems analysis. (University of Naples Fedrrico 11. Electrical Engineering Dept.via Claudio 21 1-80125 Naplefltaly T +3981/7683226 Fax+3981/2396897) Daniele Menniti (1958) received the degree in Electrical Engineering from the University of Calabria. Cosenzataly and the Ph.D. degree in Electrical Engineering from the University of NapleslItaly
in 1984 and 1989 respectively. He is a researcher at the Electronic. Computer and Systems Science Department of the University of Calabria. Italy. Hiscurrent research interests concern electric power system analysis real-time control and automation. (University of Calabria Electronic Computer and Systems Science Dep. Arcavacataji Rende (CS). 1-87036 CosenzdItaly T +39984/494707. Fax +39984/4947 13) Alfredo Testa (1950) received the degree in Electrical Engineering from the University of Naples/Italy
in 1975. He is an Associate Professor in Electrical Power Systems at the Department of Electrical Engineering of the University of Naples. He is engaged in researches on electrical power systems reliability and harmonic analysis. (University of Naples Federico 11. Electrical Engineering Dep. via Claudio '2 1 1-80 I25 NapleslItaly T + 39 8 I/7 68 3'2 11. Fax+3981/2396897) Ciro Picardi (1949) received the degree in Electronics Engineering from the University of Naples/Italy
in 1975. He is currently Associate Professor in Process Control at the Department of Electronic Computer and System Science of the University of Calabria. Italy. His current research interests are in the area of electrical drives robotics neural networks and fuzzy control. (University of Calabria Electronic. Compu
An artificial‐neural‐network (ANN) application for steady‐state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back‐propagation neural n...
Providing realistic opposing forces is critical to the successful use of military training simulations. Unfortunately, a number of issues can make the manual control of realistic opposing forces difficult or unattaina...
Providing realistic opposing forces is critical to the successful use of military training simulations. Unfortunately, a number of issues can make the manual control of realistic opposing forces difficult or unattainable, This paper explores these issues while discussing how Automatic Interactive Targets (AITs) can assist Training Exercise Controllers (TECs) in providing validated and realistic opposing forces in highly interactive situations. The features of the prototype Remote AIT Processing System (RAPS) are used to demonstrate how an AIT system can be designed to meet TEC requirements for automated entities, RAPS can provide remote control of AITs for existing or new systems while providing sufficient features to allow a TEC to appropriately select and control AITs for individual training exercises and crew proficiencies.
Databases of macromoleo,lar structures allow reaeaxchers to identify genera] principles of molecular behavior. They do this by providing a variety of data obtained under a number of different experimental conditions. ...
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Differentiation between the nodes of a competitive learning network is conventionally achieved through competition on the basis of neural activity. Simple inhibitory mechanisms are limited to sparse representations, w...
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An alternative approach, based on a multiple scale analysis, is presented in order to reconcile the traditional WKB approach to the modeling of interplanetary fluctuations in a mildly inhomogeneous large-scale flow wi...
An alternative approach, based on a multiple scale analysis, is presented in order to reconcile the traditional WKB approach to the modeling of interplanetary fluctuations in a mildly inhomogeneous large-scale flow with a more recently developed transport theory. This enables us to compare directly, at a formal level, the inherent structure of the two models. In the case of noninteracting, incompressible (Alfven) waves, the principle difference between the two models is the presence of leading-order couplings (called ''mixing effects'') in the non-WKB turbulence model which are absent in a WKB development. Within the context of linearized MHD, two cases have been identified for which the leading order non-WKB ''mixing term'' does not vanish at zero wavelength. For these cases the WKB expansion is divergent, whereas the multiple-scale theory is well behaved. We have thus established that the WKB results are contained within the multiple-scale theory, but leading order mixing effects, which are Likely to have important observational consequences, can never be recovered in the WKB style expansion. Properties of the higher-order terms in each expansion are also discussed, leading to the conclusion that the non-WKB hierarchy may be applicable even when the scale separation parameter is not small.
Data manipulators networks are a class of multistage interconnection networks (MINs). A number of attempts has been made to make this class of MINs fault tolerant. They assume that the input stage as well as the outpu...
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Data manipulators networks are a class of multistage interconnection networks (MINs). A number of attempts has been made to make this class of MINs fault tolerant. They assume that the input stage as well as the output stage are fault-free. In this paper, we propose an enhancement to the fault-tolerance capability of two categories of this class of networks, Enhanced Augmented Data Manipulator Network (EADM), and Logical Neighborhood Networks (LN) under a more strict fault-model. The fault-tolerance and the terminal reliability for each of the resulting networks is introduced. A comparison between these two proposed networks is made.
Differentiation between the nodes of a competitive learning network is conventionally achieved through competition on the basis of neural activity. Simple inhibitory mechanisms are limited to sparse representations, w...
Differentiation between the nodes of a competitive learning network is conventionally achieved through competition on the basis of neural activity. Simple inhibitory mechanisms are limited to sparse representations, while decorrelation and factorization schemes that support distributed representations are computationally unattractive. By letting neural plasticity mediate the competitive interaction instead, we obtain diffuse, nonadaptive alternatives for fully distributed representations. We use this technique to Simplify and improve our binary information gain optimization algorithm for feature extraction (Schraudolph and Sejnowski, 1993); the same approach could be used to improve other learning algorithms.
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