Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Aarti Munjal"'
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e102082 (2014)
Researchers seeking to develop complex statistical applications for mobile devices face a common set of difficult implementation issues. In this work, we discuss general solutions to the design challenges. We demonstrate the utility of the solutions
Externí odkaz:
https://doaj.org/article/bdb5c61cd2ef46d0ac9860ae03f4d3f8
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2012 (2012)
A phenomenal increase in the number of wireless devices has led to the evolution of several interesting and challenging research problems in opportunistic networks. For example, the random waypoint mobility model, an early, popular effort to model mo
Externí odkaz:
https://doaj.org/article/8c96961f07094930a8604b994867e37b
Publikováno v:
Future Generation Computer Systems. 88:61-78
The establishment of communications in disaster scenarios is of paramount importance, especially because preexisting communication infrastructure is likely to be destroyed or malfunctioning. Consequently, there is a need for an alternative and self-o
Publikováno v:
Applications of Big Data Analytics ISBN: 9783319764719
Applications of Big Data Analytics
Applications of Big Data Analytics
This work attempts to tackle an important disaster management application in this IoT and big data era. The main aim is to determine optimum or near optimum solutions in a potentially very large and complex search space. This is due to high dimension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5f96394cee7843ba11de1f630c886eb
https://doi.org/10.1007/978-3-319-76472-6_4
https://doi.org/10.1007/978-3-319-76472-6_4
Publikováno v:
Journal of Communications. 9:322-331
Movement patterns of mobile nodes significantly affect the performance of a Mobile Ad hoc Network (MANET) routing protocol. Thus, it is essential that the mobility traces generated by a mobility model closely match the trace data collected from exper
Publikováno v:
Computer Communications. 34:704-714
Realistic and scenario-dependent mobility modeling is crucial for the reliable performance evaluation of multi-hop networks. In the last decade, a significant number of synthetic mobility models have been proposed. However, only a few of these models
Publikováno v:
MDM (2)
Mobile phone and social media communication are sometimes explored as viable sources of location information for human mobility research. To the best of our knowledge, however, no one has studied how location information obtained via these two event-
Publikováno v:
PLoS ONE
PLoS ONE, Vol 9, Iss 12, p e102082 (2014)
PLoS ONE, Vol 9, Iss 12, p e102082 (2014)
Researchers seeking to develop complex statistical applications for mobile devices face a common set of difficult implementation issues. In this work, we discuss general solutions to the design challenges. We demonstrate the utility of the solutions
Publikováno v:
Human-Computer Interaction. Advanced Interaction Modalities and Techniques ISBN: 9783319072296
HCI (2)
ResearcherID
HCI (2)
ResearcherID
Recently several optical and non-optical sensors based gesture recognition techniques have been developed to interact with computing devices. However, these techniques mostly suffer from problems such as occlusion and noise. In this work, we present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60a3442bb516cc1b35b5a89529546c22
https://doi.org/10.1007/978-3-319-07230-2_31
https://doi.org/10.1007/978-3-319-07230-2_31
Publikováno v:
Human-Computer Interaction. Advanced Interaction Modalities and Techniques ISBN: 9783319072296
HCI (2)
HCI (2)
Traditional methods of authenticating a user, including password, a Personal Identification Number (PIN), or a more secure PIN entry method (A PIN entry method resilient against shoulder surfing [14]), can be stolen or accessed easily and, therefore,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34354a0ca999793902d723d31b3b3640
https://doi.org/10.1007/978-3-319-07230-2_13
https://doi.org/10.1007/978-3-319-07230-2_13