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The document targets towards analysis current braille characters, emphasis it's insufficiencies at instructing approaches aimed at little kids with recommend apparent results. This document concentrates largely upon the practice of braille and typography collectively with the fundamental braille writing system and is essential for constructive progress in association for blind kids. The principal...
From the empirical studies, it is quite difficult for the license plate recognition to perform 100% accuracy in a real world environment. Nevertheless, it is common that only a few characters are misread from a license plate recognition system. In this paper, license plate matching is used for vehicle re-identification. We evaluate several approximate string matching techniques to determine an applicable...
It is assumed that Japanese can analogize the meaning of original text if they read the original text according to the commonality of written expressions, such as the commonality of Kanji and Chinese characters in case of Chinese-Japanese translations. In this study, participants rewrote translated sentences while viewing simultaneously the original sentences written in Chinese and the translated...
Fuzzy TOPSIS with linguistic assessments is well suited to model the new product design process for describing the relationship between the product form and consumers' preferences, where consumers' preferences are often expressed subjectively and imprecisely. In this paper, we build a Fuzzy TOPSIS expert system in conjunction to a neural network model that can help product designers determine the...
Key form features are relative to the style of product, and the expression on style features depicts the product description and is a measurement of attribute knowledge. The uncertainty definition leads to an improved and effective product style retrieval when combined with fuzzy sets. First, a style knowledge and features database are constructed using fuzzy case-based reasoning technology; a similarity...
In natural language face to face communication interlocutors exploit manifold non-verbal information resources, most notably hand and arm movements, i.e. gestures. In this paper, a type-theoretical approach using Type Theory with Records is introduced which accounts for iconic gestures within an information state update semantics. Iconic gestures are semantically exploited in two steps: firstly, their...
The use of pervasive systems and positioning technologies is increasing to track moving objects in several domains such as: health care, bioinformatic, natural diseases, etc. The modeling and the analysis of trajectory data resulting from moving objects activities have become a necessity in order to make the best decision. Tracking every movement leads to storing large volumes of data. The obtained...
Attributes are the way we describe the world. A simple classification on attributes' object host or event host is not enough for explaining appearance of both object attributes and event attributes. Thus we propose a presentation and explanation for attributes which introduce single and group host criterion for object attributes and linguistic valence for event attributes. Especially, we argue that...
The present paper focuses on the risk assessment of losses in the oil production system in case of a failure of electric submersible motors which are parts of electric centrifugal pump units because of internal and external over voltage impact. This work proposes an assessment algorithm of the risk dynamics with the help of fuzzy set theory. The algorithm is based on an analysis of the probability...
Humans can learn word-object associations from ambiguous data using cross-situational learning and have been shown to be more efficient when actively choosing the learning sample order. Implementing such a capacity in robots has been performed using several models, among which are the latent-topic learning models based on Non-Negative Matrix Factorization and Latent Dirichlet Allocation. We compare...
The great part of fuzzy-linguistic research assumes the fuzzy complement as a good candidate for representing the meaning of negation. However, linguistic studies show that both acquisition and use of negation are way more complex than that. After reconsidering a way in which the negation is used in the natural language discourse, this paper focuses on reflecting a use of negation in domains in which...
In this study, we present a new approach to the problem of face classification, which relies on the linguistic description of the facial features. In this method, face descriptors are represented through the Analytic Hierarchy Process (AHP) and formalized as information granules. Moreover, neural networks are used to construct efficient classifiers. Furthermore, with usage of AHP we realize a transition...
In order to help software engineers deal with the increasing size and complexity of software systems, current research is directed toward developing more intelligent tools such as recommendation systems for software engineering.
In designing BYOB and Snap/, we wanted to extend the Scratch idea of visual metaphors for control structures to include anonymous procedures and higher order functions. We describe the iterations in the design leading to the current "grey ring" notation.
This article proposes a distinctive approach to processing of graphic images in intelligent computer vision systems on railway transport based on the use of fuzzy models with multistep prediction algorithm.
Autonomous vehicles are mainly based on sensory devices to be able to take decisions. Some linguistic terms we use as human beings cannot be well understood by machines without implementation of some type of intelligence. Computing with words (CWW) is one mechanism that allows machines to have this capability and hence allowing humans to "talk" to their cars by giving them uncertain (fuzzy)...
ProsoTool is a computer algorithm implemented as a Praat script for the automatic annotation of certain prosodic features in recorded dialogs. The tool was developed in the framework of the HuComTech project. The current version aims at making the raw F0 data more expressive and processable by smoothing and segmenting the pitch curve into larger tonal movements adjusting the calculation parameters...
Construction companies always try to employ practical tools to assess risks and determine project contingency, yet the uncertain nature of risk makes it difficult to ensure that the assessment process is accurate or the agreed-upon project contingency is sufficient to deal with such uncertainty. This paper introduces a novel contingency determination procedure that employs fuzzy arithmetic in carrying...
This paper introduces a procedural method for the systematic risk analysis when an IT-System is exposed to an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of an electronic system with the respect to intentional electromagnetic interferences (IEMI). It combines the advantage of fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks...
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