TACTILE GRAPHICS WITH MATHEMATICA

Tactile diagrams require considering specific features like resolution, size, density and even fonts to be perceived properly. Mathematica, as a powerful tool, provides integrated environment for technical computing, and has introduced a new generation of mathematical and algebraic capabilities. By the way, by default it does not respect the features necessary for graphs to be drawn to be fully tactile perceivable. In this paper, we have studied different aspects of graphing with the package and have investigated a criterion regarding the density feature for the drawn graphs to be judged how far are tactile perceivable

MULTI-PARADIGMATIC DEVELOPMENT OF CONTEXT-AWARE APPLICATIONS

In this article we are to explore different roles that Context-Oriented Programming (COP), Layered-Base Context Aware Programming (LBCAP) and Run-Time Subject Oriented Programming (RTSOP) can play in developing context-aware applications. Since the process of developing a context aware application is a very complex procedure, we have tried to separate complexities regarding different aspects of context-aware programs and based on this separation, have investigated the roles of the paradigms

Operations on Concavoconvex Type-2 Fuzzy Sets

Concavoconvex fuzzy set is the result of the com-bination of the concepts of convex and concave fuzzy sets. This paper investigates concavoconvex type-2 fuzzy sets. Basic operations, union, intersection and complement on concavoconvex type-2 fuzzy sets us-ing min and product t-norm and max t-conorm are studied and some of their algebraic properties are explored

Distributed Intervals : a Formal Framework for Information Granulation

The notion of distributed interval, as a formal framework for information granulation, represented by the collection of finite number of general-intervals is introduced. Operations on distributed intervals are defined based on the corresponding general-intervals\u2019. Distributed intervals provide a bi-criteria framework for information granulation that can be used as a conceptually rich structure in granular computing

Context Network

Context network is the result of the integration of Wireless Sensor Network (WSN) and context-awareness which are primarily reconsidered in terms of granular computing. It is aimed to be reliable infrastructure for providing applicable and proper contextual information necessary for developing realistic context-aware applications

SATISFACTION IN E-TOURISM A CASE OF EUROPEAN ONLNE CUSTOMERS

As information is the life-blood of the travel industry (Sheldon, 1994), utilizing and managing a suitable Information Technology is essential for tourism organizations to satisfy their customers. Despite the importance of e-tourism on one hand and the key role of customer satisfaction on the other hand there have been less research related to this topic yet. Current research is going to fill this gap by categorizing items which are important for satisfaction in e-tourism and as a result introduces the main factors which are the determinant for customer satisfaction in online tourism. Moreover it illustrates if satisfaction of a website positively affect customer's intention of buying from that website. The present paper incorporates the method of distributing the questionnaire for addressing the determinants of customer satisfaction in online tourism, among a group of European online trip buyers. It also uses factor analysis method for analyzing the data. This research yields rich insights for managers of e-tourism firms, by introducing the factors which have the most impact on e-satisfaction

ENHANCED SENSOR NETWORK : A SPECIALIZED INFRASTRUCTURE FOR CONTEXT-AWARE APPLICATIONS

Respecting the mobile world, it is about the time to demand for systems to fully take advantage of their environment. In this way, Enhanced Sensor Network is another step toward developing realistic context-aware applications, which is based on the basic infrastructures provided by wireless sensor networks (WSN) and context-aware application development paradigms. In this paper we introduce a framework for integrating WSNs with context-aware application requirements to enhance wireless sensor network as an infrastructure which can provide necessary contextual information for context-aware applications

Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness

We propose a procedure devoted to the induction of a shadowed set through the post-processing of a fuzzy set, which in turn is learned from labeled data. More precisely, the fuzzy set is inferred using a modified support vector clustering algorithm, enriched in order to optimize the fuzziness grade. Finally, the fuzzy set is transformed into a shadowed set through application of an optimal alpha-cut. The procedure is tested on synthetic and real-world datasets

Variations in task constraints shape emergent performance outcomes and complexity levels in balancing

This study investigated the extent to which specific interacting constraints of performance might increase or decrease the emergent complexity in a movement system, and whether this could affect the relationship between observed movement variability and the central nervous system's capacity to adapt to perturbations during balancing. Fifty-two healthy volunteers performed eight trials where different performance constraints were manipulated: task difficulty (three levels) and visual biofeedback conditions (with and without the center of pressure (COP) displacement and a target displayed). Balance performance was assessed using COP-based measures: mean velocity magnitude (MVM) and bivariate variable error (BVE). To assess the complexity of COP, fuzzy entropy (FE) and detrended fluctuation analysis (DFA) were computed. ANOVAs showed that MVM and BVE increased when task difficulty increased. During biofeedback conditions, individuals showed higher MVM but lower BVE at the easiest level of task difficulty. Overall, higher FE and lower DFA values were observed when biofeedback was available. On the other hand, FE reduced and DFA increased as difficulty level increased, in the presence of biofeedback. However, when biofeedback was not available, the opposite trend in FE and DFA values was observed. Regardless of changes to task constraints and the variable investigated, balance performance was positively related to complexity in every condition. Data revealed how specificity of task constraints can result in an increase or decrease in complexity emerging in a neurobiological system during balance performance

25th Annual Computational Neuroscience Meeting: CNS-2016

Abstracts of the 25th Annual Computational Neuroscience Meeting: CNS-2016 Seogwipo City, Jeju-do, South Korea. 2–7 July 201