Evaluating Mobile Applications in Virtual Environments

2013 ◽  
Vol 5 (4) ◽  
pp. 1-19 ◽  
Author(s):  
Ioannis Delikostidis ◽  
Thore Fechner ◽  
Holger Fritze ◽  
Ahmed Mahmoud AbdelMouty ◽  
Christian Kray
Keyword(s):  
Virtual Environments ◽  
Real World ◽  
Mobile Applications ◽  
Future Research ◽  
Context Aware ◽  
Middle Ground ◽  
Selection Strategies ◽  
Research Challenges ◽  
Evaluation Approaches ◽  
Specific Evaluation

Context plays a central role in mobile applications but is very difficult to control, and therefore, the evaluation of context-aware applications can be challenging. Traditionally, researchers had to choose either field-based or lab-based studies but recently, virtual environments have been proposed as a middle-ground between those two methods. In this paper, the authors review previous work on using virtual environments to evaluate mobile applications. the authors identify and classify different approaches to simulate specific aspects of the real world, and analyse their relative properties with respect to evaluating different facets of context-aware mobile applications. Based on this analysis, the authors derive criteria and selection strategies that can help researchers in picking specific evaluation approaches. The authors also point out a number of research challenges in this area as well as a number of promising areas for future research.

Learning From Imbalanced Data

2018 ◽  
pp. 1825-1834 ◽  
Author(s):  
Lincy Mathews ◽  
Seetha Hari
Keyword(s):  
Real World ◽  
Imbalanced Data ◽  
Misclassification Rate ◽  
Future Research ◽  
Data Sets ◽  
Real World Data ◽  
Imbalanced Data Sets ◽  
Challenging Issue ◽  
Research Challenges ◽  
Balanced Distribution

A very challenging issue in real world data is that in many domains like medicine, finance, marketing, web, telecommunication, management etc., the distribution of data among classes is inherently imbalanced. A widely accepted researched issue is that the traditional classifier algorithms assume a balanced distribution among the classes. Data imbalance is evident when the number of instances representing the class of concern is much lesser than other classes. Hence, the classifiers tend to bias towards the well-represented class. This leads to a higher misclassification rate among the lesser represented class. Hence, there is a need of efficient learners to classify imbalanced data. This chapter aims to address the need, challenges, existing methods and evaluation metrics identified when learning from imbalanced data sets. Future research challenges and directions are highlighted.

Learning From Imbalanced Data

2019 ◽  
pp. 403-414 ◽  
Author(s):  
Lincy Mathews ◽  
Seetha Hari
Keyword(s):  
Real World ◽  
Imbalanced Data ◽  
Misclassification Rate ◽  
Future Research ◽  
Data Sets ◽  
Real World Data ◽  
Imbalanced Data Sets ◽  
Challenging Issue ◽  
Research Challenges ◽  
Balanced Distribution

A very challenging issue in real-world data is that in many domains like medicine, finance, marketing, web, telecommunication, management, etc. the distribution of data among classes is inherently imbalanced. A widely accepted researched issue is that the traditional classifier algorithms assume a balanced distribution among the classes. Data imbalance is evident when the number of instances representing the class of concern is much lesser than other classes. Hence, the classifiers tend to bias towards the well-represented class. This leads to a higher misclassification rate among the lesser represented class. Hence, there is a need of efficient learners to classify imbalanced data. This chapter aims to address the need, challenges, existing methods, and evaluation metrics identified when learning from imbalanced data sets. Future research challenges and directions are highlighted.

Robot Planning in the Real World: Research Challenges and Opportunities

AI Magazine ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 76-84 ◽  
Author(s):  
Ron Alterovitz ◽  
Sven Koenig ◽  
Maxim Likhachev
Keyword(s):  
Technical Progress ◽  
Real World ◽  
National Science Foundation ◽  
Future Research ◽  
The Real ◽  
Research Challenges ◽  
Challenging Tasks ◽  
National Science ◽  
Simple Rules ◽  
Challenges And Opportunities

Recent years have seen significant technical progress on robot planning, enabling robots to compute actions and motions to accomplish challenging tasks involving driving, flying, walking, or manipulating objects. However, robots that have been commercially deployed in the real world typically have no or minimal planning capability. These robots are often manually programmed, teleoperated, or programmed to follow simple rules. Although these robots are highly successful in their respective niches, a lack of planning capabilities limits the range of tasks for which currently deployed robots can be used. In this article, we highlight key conclusions from a workshop sponsored by the National Science Foundation in October 2013 that summarize opportunities and key challenges in robot planning and include challenge problems identified in the workshop that can help guide future research towards making robot planning more deployable in the real world.

Adaptive Future Internet Applications

2018 ◽  
pp. 1568-1589 ◽  
Author(s):  
Clarissa Cassales Marquezan ◽  
Andreas Metzger ◽  
Klaus Pohl ◽  
Vegard Engen ◽  
Michael Boniface ◽  
...  
Keyword(s):  
Web Services ◽  
Real World ◽  
Network Connectivity ◽  
Future Internet ◽  
Future Research ◽  
Service Provisioning ◽  
Internet Applications ◽  
Research Challenges ◽  
Adaptive Capabilities ◽  
Service Oriented

Adaptive capabilities are essential to guarantee the proper execution of Web services and service-oriented applications once dynamic changes are not exceptions but the rule. The importance of adaptive capabilities significantly increases in the context of Future Internet (FI) applications will have to autonomously adapt to changes on service provisioning, availability of things and content, computing resources, and network connectivity. Current solutions for adaptive Web services and adaptive service-based applications will be challenged in such a setting because they fall short to support essential characteristics of FI applications. This chapter analyzes and justifies the need for the transition from adaptive Web services and service-based applications to adaptive FI applications. Based on two real-world use cases from multimedia and logistics, the authors examine where current solutions fall short to properly address the adaptive needs of FI applications. They propose future research challenges that should be considered in adaptive FI applications.

Adaptive Future Internet Applications

2012 ◽  
pp. 333-353 ◽  
Author(s):  
Clarissa Cassales Marquezan ◽  
Andreas Metzger ◽  
Klaus Pohl ◽  
Vegard Engen ◽  
Michael Boniface ◽  
...  
Keyword(s):  
Web Services ◽  
Real World ◽  
Network Connectivity ◽  
Future Internet ◽  
Future Research ◽  
Service Provisioning ◽  
Internet Applications ◽  
Research Challenges ◽  
Adaptive Capabilities ◽  
Service Oriented

Adaptive capabilities are essential to guarantee the proper execution of Web services and service-oriented applications once dynamic changes are not exceptions but the rule. The importance of adaptive capabilities significantly increases in the context of Future Internet (FI) applications will have to autonomously adapt to changes on service provisioning, availability of things and content, computing resources, and network connectivity. Current solutions for adaptive Web services and adaptive service-based applications will be challenged in such a setting because they fall short to support essential characteristics of FI applications. This chapter analyzes and justifies the need for the transition from adaptive Web services and service-based applications to adaptive FI applications. Based on two real-world use cases from multimedia and logistics, the authors examine where current solutions fall short to properly address the adaptive needs of FI applications. They propose future research challenges that should be considered in adaptive FI applications.

Real-World Physical Length Comparison in Virtual Environments

2007 ◽  
Vol 13 (3) ◽  
pp. 19-24
Author(s):  
Chul Hee Jung ◽  
Min-Geun Lee ◽  
Chang Hyuck Im ◽  
이명원
Keyword(s):  
Virtual Environments ◽  
Real World ◽  
Physical Length

scholarly journals Large-Scale Object Monitoring in Internet-of-Things: Energy-Efficient Perspectives

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 461
Author(s):  
Yongbin Yim ◽  
Euisin Lee ◽  
Seungmin Oh
Keyword(s):  
Energy Efficient ◽  
Large Scale ◽  
Future Research ◽  
Technological Evolution ◽  
Node Density ◽  
Mobile Objects ◽  
Research Challenges ◽  
Energy Efficient Communication ◽  
Efficient Communication ◽  
Architectural Principles

Recently, the demand for monitoring a certain object covering large and dynamic scopes such as wildfires, glaciers, and radioactive contaminations, called large-scale fluid objects (LFOs), is coming to the fore due to disasters and catastrophes that lately happened. This article provides an analytic comparison of such LFOs and typical individual mobile objects (IMOs), namely animals, humans, vehicles, etc., to figure out inherent characteristics of LFOs. Since energy-efficient monitoring of IMOs has been intensively researched so far, but such inherent properties of LFOs hinder the direct adaptation of legacy technologies for IMOs, this article surveys technological evolution and advances of LFOs along with ones of IMOs. Based on the communication cost perspective correlated to energy efficiency, three technological phases, namely concentration, integration, and abbreviation, are defined in this article. By reviewing various methods and strategies employed by existing works with the three phases, this article concludes that LFO monitoring should achieve not only decoupling from node density and network structure but also trading off quantitative reduction against qualitative loss as architectural principles of energy-efficient communication to break through inherent properties of LFOs. Future research challenges related to this topic are also discussed.

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