Search results for "Identification"
showing 10 items of 1600 documents
How Do Viewers Spontaneously Segment Animated Diagrams of Mechanical and Biological Subject Matter?
2012
A challenges for learning from animated diagrams is to first parse the continuous flow of information into discrete event units. Inadequacies in this parsing process can prejudice the quality of the mental model constructed from the depiction. One approach that has been proposed for ameliorating such problems is for the designer to pre-segment the animation. However, the pre-segmentation techniques used tend to be either intuitive or based on an expert's understanding of the subject matter. Neither of these approaches takes proper account of the psychological processing that must occur for an external animation to be properly internalized. This poster reports a study of the processes that l…
Polysemy and gestaltist computation. some notes on gestaltist compositionality
2019
The paper is devoted to the concept of Gestaltist Compositionality. It is divided into two parts. The first part will introduce a minimal definition of «Gestaltist Compositionality». Moreover, it will prove that the computations implemented by this model of compositionality are sufficiently flexible to ensure the presence of several orders of semantic determination. The second part will be devoted to an investigation of the consequences of this result with particular reference to the identification of some versions of compositionality which relax the condition of semantic atomism without weakening the links of determination between understanding of the compounds and understanding of the com…
Analysis of User Needs for the Redesign of a Postural Seat System
2009
The identification and translation of customer needs early in the design process is a major challenge for product design researchers. Some needs are explicit and customers can state them very clearly. Other needs are implicit, so customers cannot express them, e.g., those pertaining to the affective and emotional sphere. In this work, we describe the methods most commonly used to capture explicit and emotional customer needs, and the traditional ways in which they are used. Moreover, an integration of QFD and Kansei engineering, a simplification of Kano methodology, and a new attribute weighing methodology based on the “choice time” are discussed for the design of an innovative postural sea…
Motivating Individuals With Disabilities to Be Physically Active
2002
The benefits of exercise andlor physical activity among individuals with disabilities have been well documented. However, very few people with disabilities are active. In this paper, a series of contemporary theoretical models will be presented to facilitate the identification of strategies to increase individuals with disabilities' opportunities and motivation toward physical activitylexercise. These models can be empirically tested by researchers, and practitioners can be guided by the hypothesized relationships to determine optimal strategies for motivating physical activity participation. This blend of theory, research, and practice in adapted physical activity scholarship may result in…
Types of Moving Averages
2017
This chapter presents a detailed review of all ordinary types of moving averages, as well as some exotic types of moving averages. These exotic moving averages include moving averages of moving averages and mixed moving averages with less average lag time. For the majority of moving averages, this chapter computes the closed-form solutions for the average lag time and smoothness. This chapter also demonstrates that the average lag time of a moving average can easily be manipulated; therefore the notion of the average lag time has very little to do with the delay time in the identification of turning points in a price trend.
Fuzzy Concepts in Small Worlds and the Identification of Leaders in Social Networks
2014
In the study of the Social Networks, the Small World phenomenon appears frequently. We apply some techniques of graph theory and fuzzy sets to characterize the Small World features as well as the existence of the figure of leader in Social Networks. These techniques help to the conceptual formalization in relational networks analysis, by transforming linguistic and human-focused manner concepts related to social networks in some formal representation. These techniques are also applied when the similarity among nodes wants to be measured in order to study the current homophily present in a Network.
Technique of Statistical Validation of Rival Models for Fatigue Crack Growth Process and Its Identification
2011
The development of suitable models of stochastic crack growth process is important for the reliability analysis of fatigued structures as well as the scheduling of inspection and repair/replacement maintenance. Based on modifications of the solution of the deterministic differential equation for the crack growth rate, where a stochastic nature of this rate is expressed by a random disturbance embedded in the solution of the differential equation, the simple stochastic models are presented for practical applications. Each of these models represents a stochastic version of the solution of the Paris-Erdogan law equation. The models take into account the random disturbance parameters while main…
Cuencas de montaña y la construcción de una encuesta interdisciplinaria
2021
Este estudio presentó una reflexión sobre la encuesta como estrategia de investigación social, dentro de un contexto específico, como lo representan las cuencas de montaña. Y más aún, la problemática se enfocó en la recolección de datos que tienen que darse dentro de los sistemas de riego; por esta razón, el objetivo fue la identificación de aquellos aspectos que deben ser tomados en cuenta para la construcción de una encuesta interdisciplinaria en ese contexto. Se realizó una revisión sistemática exploratoria de literatura sobre el tema propuesto y en la región señalada. Los principales hallazgos establecieron la necesidad de que los estudios sobre estos ecosistemas, tienen que tomar en cu…
INDUCTIVE INFERENCE OF LIMITING PROGRAMS WITH BOUNDED NUMBER OF MIND CHANGES
1996
We consider inductive inference of total recursive functions in the case, when produced hypotheses are allowed some finite number of times to change “their mind” about each value of identifiable function. Such type of identification, which we call inductive inference of limiting programs with bounded number of mind changes, by its power lies somewhere between the traditional criteria of inductive inference and recently introduced inference of limiting programs. We consider such model of inductive inference for EX and BC types of identification, and we study • tradeoffs between the number of allowed mind changes and the number of anomalies, and • relations between classes of functions ident…
Dual types of hypotheses in inductive inference
2006
Several well-known inductive inference strategies change the actual hypothesis only when they discover that it “provably misclassifies” an example seen so far. This notion is made mathematically precise and its general power is characterized. In spite of its strength it is shown that this approach is not of “universal” power. Consequently, then hypotheses are considered which “unprovably misclassify” examples and the properties of this approach are studied. Among others it turns out that this type is of the same power as monotonic identification. Finally, it is shown that “universal” power can be achieved only when an unbounded number of alternations of these dual types of hypotheses is all…