We present a sketch-based modeling system for interactive modeling of a variety of 3D objects. The idea is to construct and modify 3D objects, step by step, using a 2D template topology library. The library, called T-...
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In recent times, software developers widely use instant messaging and collaboration platforms, as these plat-forms aid them in exploring new technologies, raising different development-related issues, and seeking solu...
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This paper introduces a plagiarism detection scheme based on a Fuzzy Inference System and Semantic Role Labeling (FIS-SRL). The proposed technique analyses and compares text based on a semantic allocation for each ter...
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Ontology-based data access (OBDA) is regarded as a key ingredient of the new generation of informationsystems. In the OBDA paradigm, an ontology defines a high-level global schema of (already existing) data sources a...
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Automatic property appraisal has several applications such as asset valuation for lenders, property tax estimation, insurance estimation, and estate planning, grant new mortgages to new homebuyers, and purchase mortga...
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ISBN:
(纸本)9789604741953
Automatic property appraisal has several applications such as asset valuation for lenders, property tax estimation, insurance estimation, and estate planning, grant new mortgages to new homebuyers, and purchase mortgage packages, which can contain hundreds or even thousands of mortgages, on the secondary market as investments. Automatic property appraisal is also used to guide potential buyers and sellers with making purchasing decisions. In this work the author builds an Artificial Neural Network (ANN) model for the purpose of automatic property appraisal. Using Pythia-Neural Network Designer tool, the ANN model is built in two stages: In the first stage a Genetic Algorithm optimiser is used to determine the best structure for the ANN (course-tuning). In the second stage the optimised ANN structure is trained (fine-tuned) for the best values for the weights. In evaluating the property price several factors are taken into consideration such as area size, location, lot size, type of building, type of organisation (commercial or) and others. In the future more factors can be added such as the recency of property sale. More than a thousand record from Jordanian Department of Lands & Survey are used for training the ANN model and for testing its performance to find.
In this paper,the problem of time varying telecommunication delays in passive teleoperation systems is *** design comprises delayed position,velocity and position-velocity signals with the local position and velocity ...
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In this paper,the problem of time varying telecommunication delays in passive teleoperation systems is *** design comprises delayed position,velocity and position-velocity signals with the local position and velocity signals of the master and slave *** adaptive control terms are employed locally to cope with uncertain parameters associated with the gravity loading vector of the master and slave ***-Krasovskii function is employed for three methods to establish asymptotic tracking property of the closed loop teleoperation *** stability analysis is derived for both symmetrical and unsymmetrical time varying delays in the forward and backward communication channel that connects the local and remote ***,evaluation results are presented to illustrate the efectiveness of the proposed design for real-time applications.
Opinion prediction is an emerging research area with diverse real-world applications, such as market research and situational awareness. We identify two lines of approaches to the problem of opinion prediction. One us...
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The process of learning new programming languages sometimes involves the transfer of knowledge from previously learned languages. While knowledge transfer can facilitate quicker learning and enhance problem-solving ef...
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