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Nowadays, Online Social Networks (OSNs) has become one of the most common ways among people to facilitate communication. This has made it a target for attackers to steal information from influential users and has brought new forms of customized attacks for OSNs. Attackers take advantage of the user's trustworthiness when using OSN. This exploitation leads to attacks with a combination of both classical...
The proliferation of GPS-enabled mobile devices has made location-based services (LBSs) very popular in mobile networks and protecting user's location information has become a critical issue of it. In a typical location-based service framework, the LBS requires the user to provide precise location information to assure better Quality of Services(QoS), while the user wants to hide this information...
In this paper, we develop a guideline for advertisers to make the best marketing practices by visualizing and studying the evolution of popular Twitter hashtags. We monitor specific quantitative attributes like the numbers of initiators and commentators. This information allows us to identify the patterns for best practices. This practices are not noticeable to advertisers who aim to utilize Twitter...
One of the major concerns of future power systems is to utilize EVs as effective flexible means of controlling load demand. In this paper, the main goal is to evaluate the effect of large-scale utilization of electric vehicles (EV) on the total system loss. In this context, first the EVs' charging demand will be obtained using two probabilistic parameters: 1) expected driven distance, 2) expected...
This paper presents a new approach for identifying the measurement error in the DC power flow state estimation problem. The proposed algorithm exploits the singularity of the impedance matrix and the sparsity of the error vector by posing the DC power flow problem as a sparse vector recovery problem that leverages the structure of the power system and uses l1-norm minimization for state estimation...
In this paper, we present a bilevel control framework to achieve a highly-reliable smart distribution network with large-scale penetration of distributed renewable resources (DRRs). We assume that the power distribution network consists of several residential/commercial communities. In the first level of the proposed control scheme, distributed community-level controllers are designed based on the...
Multiple sensors with different functions on sensor-enabled devices on a mobile vehicle are generating large amount of data in real time which consists of a vehicular user's instant context. Context-aware services and applications utilize users' contexts to provide personalized services in return. However, most of the context-aware applications are selfish and very curious of users' sensitive information...
Query recommendation is an important feature of the search engine with the explosive and diverse growth of web contents. Different kind of recommendation like query, image, movies, music and book etc. Are used every day. Various types of data sources are used for the recommendations. If we model the data into various kinds of graphs then we can build a general method for any recommendation. In this...
The popularity of location-aware mobile devices and the advances of wireless networking have seriously pushed location-based services into the IT market. However, moving users need to report their coordinates to an application service provider to utilize interested services that may compromise user privacy. In this paper, we propose an online personalized scheme for generating anonymity zones to protect...
The tight integration of mobile devices and apps into our daily routine impacts our approach to health. While existing solutions propose to take advantage of recent developments in mobile and sensor technologies to encourage users to lead healthier lives, we still lack a viable approach that motivates user participation. In this paper we aim to integrate fitness challenges into the daily routine of...
This paper proposes a Traffic-Differentiated Two-Hop Routing protocol for Quality of Service (QoS) in Wireless Sensor Networks (WSNs). It targets WSN applications having different types of data traffic with several priorities. The protocol achieves to increase packet reception ratio (PRR) and reduce end-to-end delay while considering multi-queue priority policy, two-hop neighborhood information, link...
We propose an autonomous algorithm for mobile agents in multisensor fusion. Our algorithm is based on the concept of mutual information (MI) and the bounds obtained for correlated information. The bounds are obtained by our technique of Determinant Inequalities to maximize the mutual information to achieve the conditions for autonomy. We demonstrate the superiority our autonomous algorithm over the...
In this poster, we demonstrate a novel cost effective, scalable, and customizable RFID-based autonomous pipeline monitoring system, called RAMP system, which combines sensing technologies with robot agent based technologies for efficiently inspecting health related events and RFID technologies for the storage of event related information and location support. RAMP system integrates a new concept of...
Pipeline-based applications have become the indispensable part of life. Active monitoring and frequent inspections are critical to maintaining pipeline health. However, these tasks are highly expensive using the traditional maintenance systems, knowing that the pipeline systems can be largely deployed in an inaccessible and hazardous environment. In this paper, we propose a novel cost effective, scalable,...
The lifetime calculation of large dense sensor networks with fixed energy resources and the remaining residual energy have shown that for a constant energy resource in a sensor network the fault rate at the cluster head is network size invariant when using the network layer with no MAC losses.Even after increasing the battery capacities in the nodes the total lifetime does not increase after a max...
We address two critical issues in wireless sensor networks: (1) an extension of common Quality of Service (QoS) parameters to study the effects of ultra-low duty cycling applications, and (2) propose a new WSN passive clustering routing protocol using sleep cycles based on available renewable energy resources : Fusion Ambient Renewable MACS (FARMS). The results from lifetime based QoS in a time synchronized...
We propose a wireless sensor network management framework where we consider the management activity as a meta level thread of computation that monitors the lower (object) level protocol related thread of computations and performs management actions to affect the lower level computations. While the protocols perform the object level computations, the management level computations are performed by a...
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization schemes. However, this model does not match the statistics of the real data in practice. In this paper, we study the probability density function of the sensor signals and demonstrate that the distribution is not Gaussian...
Multi-sensor biomedical image registration and fusion usually require intensive computational effort. This article presented a novel automated approach of the multi-sensor retinal optic nerve head image registration and fusion using heuristic optimization algorithm. The reference and the to-be-registered images are from two different modalities, i.e. angiogram grayscale images and fundus color images...
Infrastructure creation and data dissemination in WSN have traditionally been treated as independent problems. We argue that the two are tightly coupled; the former can expose key structural elements which can be exploited by the latter. This paper proposes the algorithm pair iGroup-iSpread that achieves fast and message-efficient operation by treating the two problems in integrated fashion. Nodes...
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