A program generator that facilitates the development of programs for low- and intermediate-level dynamic vision is described. It accepts inputs from the user in a two-dimensional graphic way and converts these into an...
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A program generator that facilitates the development of programs for low- and intermediate-level dynamic vision is described. It accepts inputs from the user in a two-dimensional graphic way and converts these into an extremely efficient executable code for both a conventional microprocessor and a special pipeline processor designed for dynamic vision. Programs produced by this system have been used in robot vision, including the guidance of a fast autonomous road vehicle.< >
A restructuring transformation that can be used to parallelize recurrence relations is described. The transformation is based on the hyperplane (or wavefront) method, but extends the applicability of the method to irr...
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A restructuring transformation that can be used to parallelize recurrence relations is described. The transformation is based on the hyperplane (or wavefront) method, but extends the applicability of the method to irregularly structured recurrences. It is assumed that the time of computation of an array element is a linear combination of its indices, and a variation of the simplex method is used to seek a succession of hyperplanes along which array elements can be computed concurrently. Portions of the work reported here have been implemented in the PS automatic program generation system.< >
This paper presents comparison of a recently proposed tuned-average current-mode with widely accepted average current-mode, in order to control the average inductor current of the constant frequency DC/DC power conver...
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This paper presents comparison of a recently proposed tuned-average current-mode with widely accepted average current-mode, in order to control the average inductor current of the constant frequency DC/DC power converters. The buck converter was taken as an example to demonstrate superior features of the tuned-average current-mode. Some frequency-domain characteristics are investigated and the conclusions are verified through simulations. Finally, the design considerations for both methods were emphasized as a helping tool for the designer to choose the control method which will meet his needs.
A novel method for programming a robot, called the assembly-plan-from-observation (APO) method, is proposed. The APO method aims to build a system that has the capability of observing a human performing an assembly ta...
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A novel method for programming a robot, called the assembly-plan-from-observation (APO) method, is proposed. The APO method aims to build a system that has the capability of observing a human performing an assembly task, understanding the task based on the observation, and generating the robot program to achieve the same task. Assembly relations that serve as the basic representation of each assembly task are defined. It is verified that such assembly relations can be recovered from the observation of human assembly tasks, and that from such assembly relations it is possible to generate robot motion commands to repeat the same assembly task. An APO system based on the assembly relations is demonstrated.< >
The purpose of this paper is to present an approach for verifying that explicitely stated integrity constraints are not violated by certain transactions. We utilize a relational model where-in constraints are given in...
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The purpose of this paper is to present an approach for verifying that explicitely stated integrity constraints are not violated by certain transactions. We utilize a relational model where-in constraints are given in a language based on the first order predicate calculus. Transactions are written in terms of an ALGOL.60 like host language with embedded first order predicate calculus capabilities allowing queries and updates. The technique for proving consistency of the transactions is based upon the Hoare axiomatic approach. We illustrate the method by means of an explicit example of a database updated by four types of transaction. A generalized transaction consistency verifier embodying this approach would considerably enhance transaction programming in a relational database management system.
Oil price time series is a nonlinear long-memory series, in this paper, a novel clustering method based on the symbiotic evolutionary and the immune programming algorithm is proposed, which is implemented for the pred...
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Oil price time series is a nonlinear long-memory series, in this paper, a novel clustering method based on the symbiotic evolutionary and the immune programming algorithm is proposed, which is implemented for the prediction of oil price time series. In the design of the neural network, the number and positions of hidden layer are automatically adjust through symbiotic evolutionary and the immune programming. The weights of output layer are decided by the recursive least squares algorithm. The proposed immune clustering neural model has been implemented for New York harbor residual fuel oil prices, and compared with the traditional RBF neural network method. The test results reveal that the symbiotic evolution immune clustering neural network method possesses far superior forecast precision than the traditional method.
We show that many open and challenging problems in control theory belong to the class of concave minimization programs. More precisely, these problems can be recast as the minimization of a concave objective function ...
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We show that many open and challenging problems in control theory belong to the class of concave minimization programs. More precisely, these problems can be recast as the minimization of a concave objective function over convex linear matrix inequality (LMI) constraints. In this setting, these problems can then be efficiently handled using local and/or global optimization techniques.
In our country, the research of feature modeling technology for reverse engineering has two types, which are based on solid and based on line-surface. This paper studies the feature modeling technology for complex pro...
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ISBN:
(纸本)9781424463886;9780769539874
In our country, the research of feature modeling technology for reverse engineering has two types, which are based on solid and based on line-surface. This paper studies the feature modeling technology for complex product which uses dot image of slicing contour as original information based on solid feature. The feature modeling system consists of two parts: programming software of automatic modeling and interface software. The function of programming software, which runs on Windows platform, is to perform programmingautomatically in order to realize solid modeling, complete data processing, recognize feature and construct feature tree. The interface software implements in general CAD modeling software environment. Its function is to achieve automatic modeling and complete 3D reconstruction. Theoretically, it will establish a knowledge system that includes mathematics expression of dot image of slicing contour, feature recognition, CSG feature tree construction. Practically, it will carry out automatically 3D reconstruction of complex products of having various shapes and more dies cavity, for product innovation design based on prototype establishes the foundation.
This paper presents a distributed asynchronous system which allows remote evaluation of students' submissions. This system is being developed in the context of the EduJudge project whose aim is to provide a greate...
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This paper presents a distributed asynchronous system which allows remote evaluation of students' submissions. This system is being developed in the context of the EduJudge project whose aim is to provide a greater pedagogic character for the UVa online judge, an on-line programming trainer. The UVa online judge has been integrated into the e-learning platform Moodle and a competitive tool called QUESTOURnament. More specifically, this paper focuses on the design of the user interface of the evolved QUESTOURnament tool. It has been adapted to be able to manage different competition strategies and to have a centralized system for the management of questionnaires.
With the advent of grid technologies, much interest has arisen in the application of these computational techniques to multiple fields. However, grid computing technologies have a steep learning curve that tends to di...
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With the advent of grid technologies, much interest has arisen in the application of these computational techniques to multiple fields. However, grid computing technologies have a steep learning curve that tends to discourage scientists from the usage of grid facilities applied to their research, preventing a widespread adoption of grid computing. In this paper, we describe a Java-based middleware, built on top of the Java commodity grid, that offers an object oriented, user-friendly view of the grid, which hides much of the underlying complexity when using the grid computing services provided by the Globus Toolkit. The middleware developed is focused on achieving remote execution of tasks, providing automatic file staging services, parallel execution in multiprocessor machines and fault-tolerant scheduling capabilities, from a simple and intuitive application programming interface.
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