A Survey of Mobile Internet Data Management: Models and Searching Methods

2011 ◽  
Vol 109 ◽  
pp. 738-742 ◽  
Author(s):  
Hui Zheng ◽  
Yuan Xu

We survey the state-of-the-art in mobile internet data management. We focus on the models and searching methods presented in the literature. We explore the models and searching methods in mobile internet data management from two perspectives: application area and research content. We outline the entire landscape of the models and searching methods of mobile internet data management from researcher’s point of view. Some researchers have proposed the models and searching methods to achieve the data management of mobile internet. But there are many open issues which still need to be addressed.

2020 ◽  
pp. 1199-1212
Author(s):  
Syeda Erfana Zohora ◽  
A. M. Khan ◽  
Arvind K. Srivastava ◽  
Nhu Gia Nguyen ◽  
Nilanjan Dey

In the last few decades there has been a tremendous amount of research on synthetic emotional intelligence related to affective computing that has significantly advanced from the technological point of view that refers to academic studies, systematic learning and developing knowledge and affective technology to a extensive area of real life time systems coupled with their applications. The objective of this paper is to present a general idea on the area of emotional intelligence in affective computing. The overview of the state of the art in emotional intelligence comprises of basic definitions and terminology, a study of current technological scenario. The paper also proposes research activities with a detailed study of ethical issues, challenges with importance on affective computing. Lastly, we present a broad area of applications such as interactive learning emotional systems, modeling emotional agents with an intention of employing these agents in human computer interactions as well as in education.


Author(s):  
Sha Xin Wei

Since 1984, Graphical User Interfaces have typically relied on visual icons that mimic physical objects like the folder, button, and trash can, or canonical geometric elements like menus, and spreadsheet cells. GUI’s leverage our intuition about the physical environment. But the world can be thought of as being made of stuff as well as things. Making interfaces from this point of view requires a way to simulate the physics of stuff in realtime response to continuous gesture, driven by behavior logic that can be understood by the user and the designer. The author argues for leveraging the corporeal intuition that people learn from birth about heat flow, water, smoke, to develop interfaces at the density of matter that leverage in turn the state of the art in computational physics.


Author(s):  
Marco A. Gómez-Martín ◽  
Pedro P. Gómez-Martín ◽  
Pedro A. González-Calero

A key challenge to move forward the state of the art in games-based learning systems is to facilitate instructional content creation by the domain experts. Several decades of research on computer aided instruction have demonstrated that the expert has to be deeply involved in the content creation process, and that is why so much effort has been devoted to building authoring tools of all kinds. However, using videogame technology to support computer aided instruction poses some new challenges on expertfriendly authoring tools, related to technical and cost issues. In this chapter the authors present the state of the art in content creation for games-based learning systems, identifying the main challenges to make this technology cost-effective from the content creation point of view.


Terminology ◽  
1994 ◽  
Vol 1 (1) ◽  
pp. 181-192 ◽  
Author(s):  
Lynne Bowker

Two recently published collections of articles that provide an overview of the state of the art in applied terminology are discussed from the point of view of two themes recurring throughout them: comparative terminology and knowledge engineering. Comparative terminology is one of the most traditional forms of terminology and is still among the most prevalent practiced today. New necessary approaches to handling problems in this area are outlined. One of the newest areas of research is knowledge-based terminology. The growing interest in exploring the potential benefits of a relationship between terminology and knowledge-engineering methods is shown by the discussion of various articles on this subject.


1971 ◽  
Vol 25 (4) ◽  
pp. 430-439 ◽  
Author(s):  
Howard J. Sloane

This paper in a tabulated summary format discusses the state-of-the-art of Raman spectroscopy for commercially available instrumentation. A comparison to infrared is made in terms of (I) instrumentation, (II) sample handling, and (III) applications. Although the two techniques yield similar and often complementary information, they are quite different from the point of view of instrumentation and sampling procedures. This leads to various advantages and disadvantages or limitations for each. These are discussed as well as the future outlook.


2012 ◽  
Vol 19 (1) ◽  
pp. 1-32 ◽  
Author(s):  
ANA CRISTINA MENDES ◽  
LUÍSA COHEUR

AbstractThe answer determines the success of a Question-Answering (QA) system. In redundancy-based QA systems, a common approach is to extract the candidate answers from the information sources and select the most frequent answers as the final answers. However, this strategy has some pitfalls. For instance, if a system is not able to detect equivalences between the candidate answers, their frequencies might be erroneously calculated. Moreover, the user who posed the question should also be taken into account when answering: different persons require different (correct) answers. This can involve the use of suitable vocabulary and/or information details. In these situations, the generation of a response can be a more suitable strategy, instead of the extraction and direct retrieval of the answer from the information sources. The present survey targets the state of the art in the answering task in QA under three different lines of research. First, we present several works that focus on relating candidate answers. Then, we recover the concept of cooperative answer – a correct, useful, and non-misleading answer – and we bring up attempts to address cooperative answering. Finally, we investigate the research community endeavors on response generation. We will also present our perspective on each of these three topics throughout this paper.


1982 ◽  
Vol 3 (2) ◽  
pp. 136
Author(s):  
Stephen W. Singer ◽  
Barbara S. Hawkins ◽  
M.Marvin Newhouse

Axiomathes ◽  
2021 ◽  
Author(s):  
Mirko Di Bernardo

AbstractThe article aims to provide the main conceptual coordinates in order to fully understand the state of the art of the most recent research in the field of neurobiology of interpersonal experience. The main purpose of this work is to analyze, at an anthropological, phenomenological and epistemological level, how the fundamental characteristics of the recognition of otherness and intercorporeity among human beings contribute to changing the image of nature in the light of a possible new relationship between living bodies, neurophysiological systems and empathy. From this point of view, the hypothesis to investigate is that neurophenomenology, understood as a new evolutionary, multidimensional and autopoietic approach, is capable of probing the preconditions of the possible delineation of a phenomenology of intersubjectivity shaped by the neuroscientific turning point, represented by the discovery of mirror neurons. At this level, the neuroscientific data are interpreted according to a specific interdisciplinary perspective, thus trying to offer a possible unitary and integrated theoretical framework.


Author(s):  
Sandro Bimonte

Spatial OLAP (SOLAP) systems are powerful GeoBusiness Intelligence tools for analysing massive volumes of geo-referenced datasets. Therefore, these technologies are receiving considerable attention in the research community and in the database industry as well. Applications of these technologies are current in several domains such as ad marketing, healthcare, and urban development, to name a few. Contrary to other application domains, in the context of agri-environmental data and analysis, SOLAP systems have been underexploited. Therefore, in this paper, the author makes an exhaustive survey of most of the published studies in the domain of the SOLAP analysis of agri-environmental data with an emphasis on the reasons why only few recent works investigate the use of SOLAP systems in the agri-environmental context. In particular, the author focuses on the complexity of the spatio-multidimensional model and its implementation. Moreover, based on surveying the state of the art in this domain, this paper identifies some general guidelines that must be considered by the scientific community to design and implement efficient SOLAP approaches to the analysis of geo-referenced agri-environmental datasets. Finally, open issues about warehousing and OLAPing agri-environmental data are also shown in the paper.


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