632 research outputs found
A Middleware for the Internet of Things
The Internet of Things (IoT) connects everyday objects including a vast array
of sensors, actuators, and smart devices, referred to as things to the
Internet, in an intelligent and pervasive fashion. This connectivity gives rise
to the possibility of using the tracking capabilities of things to impinge on
the location privacy of users. Most of the existing management and location
privacy protection solutions do not consider the low-cost and low-power
requirements of things, or, they do not account for the heterogeneity,
scalability, or autonomy of communications supported in the IoT. Moreover,
these traditional solutions do not consider the case where a user wishes to
control the granularity of the disclosed information based on the context of
their use (e.g. based on the time or the current location of the user). To fill
this gap, a middleware, referred to as the Internet of Things Management
Platform (IoT-MP) is proposed in this paper.Comment: 20 pages, International Journal of Computer Networks & Communications
(IJCNC) Vol.8, No.2, March 201
Distributed Time-Sensitive Task Selection in Mobile Crowdsensing
With the rich set of embedded sensors installed in smartphones and the large
number of mobile users, we witness the emergence of many innovative commercial
mobile crowdsensing applications that combine the power of mobile technology
with crowdsourcing to deliver time-sensitive and location-dependent information
to their customers. Motivated by these real-world applications, we consider the
task selection problem for heterogeneous users with different initial
locations, movement costs, movement speeds, and reputation levels. Computing
the social surplus maximization task allocation turns out to be an NP-hard
problem. Hence we focus on the distributed case, and propose an asynchronous
and distributed task selection (ADTS) algorithm to help the users plan their
task selections on their own. We prove the convergence of the algorithm, and
further characterize the computation time for users' updates in the algorithm.
Simulation results suggest that the ADTS scheme achieves the highest Jain's
fairness index and coverage comparing with several benchmark algorithms, while
yielding similar user payoff to a greedy centralized benchmark. Finally, we
illustrate how mobile users coordinate under the ADTS scheme based on some
practical movement time data derived from Google Maps
XML schema design and management for e-Government data interoperability
Open Access JournalThis journal issue entitled: ECEG 2009postprin
The Internet of Things: New Interoperability, Management and Security Challenges
The Internet of Things (IoT) brings connectivity to about every objects found
in the physical space. It extends connectivity to everyday objects. From
connected fridges, cars and cities, the IoT creates opportunities in numerous
domains. However, this increase in connectivity creates many prominent
challenges. This paper provides a survey of some of the major issues
challenging the widespread adoption of the IoT. Particularly, it focuses on the
interoperability, management, security and privacy issues in the IoT. It is
concluded that there is a need to develop a multifaceted technology approach to
IoT security, management, and privacy.Comment: 18 pages, International Journal of Network Security & Its
Applications (IJNSA) Vol.8, No.2, March 201
Achieving Synergistic Effects by Combining Different Phytochemicals for the Prevention and Treatment of Cancer
AL ZAHARNA, M & CHEUNG, HY 2014, 'Achieving Synergistic Effects by Combining Different Phytochemicals for the Prevention and Treatment of Cancer' Hong Kong Pharmaceutical Journal, vol 21, no. 1, pp. 20 - 24 … AL ZAHARNA, M., & CHEUNG, H. (2014). Achieving Synergistic Effects by Combining Different Phytochemicals for the Prevention and Treatment of Cancer. Hong Kong Pharmaceutical Journal, 21(1), 20 - 24 … AL ZAHARNA M, CHEUNG HY. Achieving Synergistic Effects by Combining Different Phytochemicals for the Prevention and Treatment of Cancer. Hong Kong Pharmaceutical Journal. 2014 Jan;21(1):20 - 24 … AL ZAHARNA, Mazen; CHEUNG, Hon-Yeung / Achieving Synergistic Effects by Combining Different Phytochemicals for the Prevention and Treatment of Cancer … In: Hong Kong Pharmaceutical Journal, Vol. 21, No. 1, 01.2014, p. 20 - 24
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