scholarly journals Future Open Mobile Services

2005 ◽  
Vol 1 (1) ◽  
pp. 44
Author(s):  
Do Van Thanh
Keyword(s):  
Business Models ◽  
State Of The Art ◽  
Mobile Services ◽  
Comprehensive Analysis ◽  
The State ◽  
Mobile Service ◽  
Mobile System ◽  
End User ◽  
Mobile Data ◽  
Data Services

The major barriers for the success of mobile data services are the lack of comprehensible mobile service architectures, their confusing business models and the complexity combined with the inconsistency of the technology enablers. This paper attempts to present a more structured and comprehensive analysis of the current mobile service architectures and their technology enablers. The paper starts with a thorough study of the evolution of mobile services and their business models, and a collection of expectations of the different actors, including the end-user. Next, starting from the original mobile services architecture and environment, an attempt to place the different technology enablers in relation to each other and in relation to their position in the mobile system, will be carried out. Each technology enabler together with their contribution in the enhancement of mobile services are then summarised in a complete and comprehensive way. The paper concludes with a recapitulation of the achievement of the state-of-the-art technology enablers and an identification of future improvements.

Electronic Access to Factual Materials Information: The State of the Art

MRS Bulletin ◽  
1995 ◽  
Vol 20 (8) ◽  
pp. 40-48 ◽  
Author(s):  
J.H. Westbrook ◽  
J.G. Kaufman ◽  
F. Cverna
Keyword(s):  
State Of The Art ◽  
The State ◽  
Easy Access ◽  
End User ◽  
Cd Rom ◽  
Component Design ◽  
Property Data ◽  
On Line ◽  
Electronic Access ◽  
Access To Data

Over the past 30 years we have seen a strong but uncoordinated effort to both increase the availability of numeric materials-property data in electronic media and to make the resultant mass of data more readily accessible and searchable for the end-user engineer. The end user is best able to formulate the question and to judge the utility of the answer for numeric property data inquiries, in contrast to textual or bibliographic data for which information specialists can expeditiously carry out searches.Despite the best efforts of several major programs, there remains a shortfall with respect to comprehensiveness and a gap between the goal of easy access to all the world's numeric databases and what can presently be achieved. The task has proven thornier and therefore much more costly than anyone envisioned, and computer access to data for materials scientists and engineers is still inadequate compared, for example, to the situation for molecular biologists or astronomers. However, progress has been made. More than 100 materials databases are listed and categorized by Wawrousek et al. that address several types of applications including: fundamental research, materials selection, component design, process control, materials identification and equivalency, expert systems, and education. Standardization is improving and access has been made more easy.In the discussion that follows, we will examine several characteristics of available information and delivery systems to assess their impact on the successes and limitations of the available products. The discussion will include the types and uses of the data, issues around data reliability and quality, the various formats in which data need to be accessed, and the various media available for delivery. Then we will focus on the state of the art by giving examples of the three major media through which broad electronic access to numeric properties has emerged: on-line systems, workstations, and disks, both floppy and CD-ROM. We will also cite some resources of where to look for numeric property data.

scholarly journals The Development of Mobile Service Applications for Consumers and Intelligent Networks

Economics ◽  
2015 ◽  
pp. 344-360
Author(s):  
Rebecca De Coster ◽  
Abdulrhman Albesher
Keyword(s):  
Business Models ◽  
Mobile Services ◽  
Mobile Internet ◽  
Location Based Services ◽  
Mobile Service ◽  
Intelligent Networks ◽  
Service Characteristics ◽  
Adoption Factors ◽  
Provision Of Services ◽  
Mobile Handset

The enhanced capabilities of mobile handsets are starting to include activities previously associated with traditional desktop computing capabilities. This extends the mobile handset from being used for connectivity to a range of purposes in both consumer and intelligent networks. This chapter examines the development of mobile service applications from current consumer telecommunication applications including context based services (such as location based services) to mobile internet-based services and the forthcoming applications for intelligent networks. Developments of both consumer and industry services in sectors with complex operations are examined in terms of service interactions by reviewing the adoption factors and the provision of services in terms of service characteristics and business models. This chapter develops conceptual frameworks for better understanding mobile services and mobile use in the context of intelligent networks along with emerging consumer applications.

Requirements Engineering for Courseware Development

2011 ◽  
pp. 170-188 ◽  
Author(s):  
Ines Grützner ◽  
Barbara Paech
Keyword(s):  
Requirements Engineering ◽  
State Of The Art ◽  
Comprehensive Analysis ◽  
Further Education ◽  
The State ◽  
Requirements Specification ◽  
Development Projects ◽  
Learning Context ◽  
Active Involvement ◽  
The Web

Technology-enabled learning using the Web and the computer and courseware, in particular, is becoming more and more important as an addition, extension, or replacement of traditional further education measures. This chapter introduces the challenges and possible solutions for requirements engineering (RE) in courseware development projects. First the state-of-the-art in courseware requirements engineering is analyzed and confronted with the most important challenges. Then the IntView methodology is described as one solution for these challenges. The main features of IntView RE are: support of all roles from all views on courseware RE; focus on the audience supported by active involvement of audience representatives in all activities; comprehensive analysis of the sociotechnical environment of the audience and the courseware as well as of the courseware learning context; coverage of all software RE activities; and development of an explicit requirements specification documentation.

Airtel Zero: Data Pricing, Two Sided Markets Led Business Models and Net Neutrality

2016 ◽  
pp. 1-12
Author(s):  
Arvind Sahay
Keyword(s):  
Web Sites ◽  
Business Models ◽  
Service Providers ◽  
Free Access ◽  
Net Neutrality ◽  
Data Traffic ◽  
Mobile Data ◽  
Data Services ◽  
Mobile Operator ◽  
Two Sided Markets

Airtel, the leading mobile operator in India was going to launch the “Airtel Zero” platform that would charge service providers and OTT providers on the internet for mobile data traffic but would allow end consumers free access to the web sites that were signed up for the platform. The case revolves around the questions of pricing these data services to the service providers in a market where the price to one set of customers (the end consumer) was not independent of the price to another set of customers (the OTT service providers) - typical of two sided markets. Issues of net neutrality and competition have been considered alongside.

scholarly journals Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food

2021 ◽  
Vol 3 ◽  
Author(s):  
Marieke van Erp ◽  
Christian Reynolds ◽  
Diana Maynard ◽  
Alain Starke ◽  
Rebeca Ibáñez Martín ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Domain Knowledge ◽  
State Of The Art ◽  
Interdisciplinary Approach ◽  
Comprehensive Analysis ◽  
The State ◽  
Use Cases

In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of recipes and food. We present the state-of-the-art and some use cases, followed by a discussion of challenges. Our perspective on addressing these is that while they typically have a technical nature, they nevertheless require an interdisciplinary approach combining natural language processing and artificial intelligence with expert domain knowledge to create practical tools and comprehensive analysis for the food domain.

scholarly journals ANALYSIS OF THE ALGORITHM FOR EVALUATING THE QUALITY PARAMETERS OF MOBILE DATA TRANSMISSION / MOBILIOJO DUOMENŲ PERDAVIMO TINKLO KOKYBĖS PARAMETRŲ ĮVERTINIMUI SUKURTO ALGORITMO ANALIZĖ

2011 ◽  
Vol 3 (1) ◽  
pp. 78-81
Author(s):  
Dmitrijus Balčiūnas
Keyword(s):  
Data Transmission ◽  
Field Tests ◽  
Mobile Network ◽  
Quality Parameters ◽  
End User ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services ◽  
Drop Rate

The purpose of this paper is to present a wider evaluation of the first version of the algorithm created for collecting parameters of the active mobile network at the end user premises. The article describes algorithms for software functioning and suggests possible ways of collecting data. The most important parameters of mobile data services include the speed of transferring data, delays and drop rate under different conditions and are measured conducting field tests. The paper also displays the results of the most interesting measurements and their interpretation as well as analyzes differences and advantages of the tool created from the available tools.

scholarly journals How Do Emotions Impact Mobile Services Acceptance? A Systematic Literature Review

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
Boris Ovčjak ◽  
Marjan Heričko ◽  
Gregor Polančič
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Mobile Services ◽  
Services Research ◽  
Related Factors ◽  
Emotional Factor ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services ◽  
Emotional Factors

Mobile data services have been rapidly developing and expanding in the recent years; therefore many studies focus on researching their acceptance and use in general or by observing different viewpoints. One of these is emotions, which influence our beliefs and attitudes that impact our decisions and actions. The objective of our research was therefore to explore the field of mobile data services acceptance in regard to emotional factors. We performed a systematic literature review of emotional concepts and their relationships, provided by 43 primary studies. Consequently, our study includes an aggregation of emotional factors obtained from related and reviewed literature, with their definitions and the extent of their usage. Furthermore, it analyses the proportion of emotional factors against all acceptance-related factors as well as the extent of their use through time. Our study tries to guide future work by aggregating the relations that include at least one emotional factor and by providing the rate of their significance. Finally, the study tends to determine the viability of the emotional factors by observing their direct influences on users’ intention and proposes a generic theoretical model for supporting future mobile services research.

scholarly journals A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

2021 ◽  
Vol 15 ◽  
Author(s):  
Maria Grazia Puxeddu ◽  
Manuela Petti ◽  
Laura Astolfi
Keyword(s):  
Community Detection ◽  
Simulation Study ◽  
State Of The Art ◽  
Brain Networks ◽  
Comprehensive Analysis ◽  
The State ◽  
Modular Organization ◽  
High Temporal Resolution ◽  
Eeg Signals ◽  
Modular Structures

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning. Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains. Identifying the modular structure in multilayer brain networks represents a gateway toward a deeper understanding of neural processes underlying cognition. Electroencephalographic (EEG) signals, thanks to their high temporal resolution, can give rise to multilayer networks able to follow the dynamics of brain activity. Despite this potential, the community organization has not yet been thoroughly investigated in brain networks estimated from EEG. Furthermore, at the state of the art, there is still no agreement about which algorithm is the most suitable to detect communities in multilayer brain networks, and a way to test and compare them all under a variety of conditions is lacking. In this work, we perform a comprehensive analysis of three algorithms at the state of the art for multilayer community detection (namely, genLouvain, DynMoga, and FacetNet) as compared with an approach based on the application of a single-layer clustering algorithm to each slice of the multilayer network. We test their ability to identify both steady and dynamic modular structures. We statistically evaluate their performances by means of ad hoc benchmark graphs characterized by properties covering a broad range of conditions in terms of graph density, number of clusters, noise level, and number of layers. The results of this simulation study aim to provide guidelines about the choice of the more appropriate algorithm according to the different properties of the brain network under examination. Finally, as a proof of concept, we show an application of the algorithms to real functional brain networks derived from EEG signals collected at rest with closed and open eyes. The test on real data provided results in agreement with the conclusions of the simulation study and confirmed the feasibility of multilayer analysis of EEG-based brain networks in both steady and dynamic conditions.

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