The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper studies feasibility and scalable computing processes for visualizing big high dimensional data in a 3 dimensional space by using dimension reduction techniques. More specifically, we propose an unsupervised approach to compute a measure that is called visualizability in a 3 dimensional space for a high dimensional data. This measure of visualizability is computed based on the comparison...
Minimum Connected Dominating Sets (MCDSs) are used as virtual backbones for efficient routing and broadcasting in wireless networks extensively. However, the MCDS problem is NP-Complete even in Unit Disk Graphs. Therefore, many heuristic-based approximation algorithms have been proposed recently. In these approaches, networks are deterministic where two nodes are assumed either connected or disconnected...
The work described in this paper consists of a temperature tracking system that follows a Client-Server architecture. A Raspberry Pi, a System-on-a-Chip (SoC) device, is responsible for sensing the temperature and streaming it to a server, the readings then are displayed in a mobile android application. For this system, a python application was developed to sense and stream the temperature, a servlet...
Now a days, the viral marketing has been extensively increased on online social networks, thus increasing the research work on the influence maximization algorithms in social networks. Motivated by this viral marketing strategies, many of the researches proposed few fundamental algorithms to find the subset of individuals to promote a product where the goal is to trigger maximum number of individuals...
Data analysis is considered as a prevalent as well as critical business need due to the blowup of big data and advent of cloud computing platform. Mobile applications consume huge amount of data gathered from heterogeneous big data repositories and provide us with meaningful insights from it. These applications include business finance, investment and social networks etc. Social data analysis is one...
Nowadays, social networks are considered as a very important medium for the spreading of information, innovations and ideas etc. among individuals using Viral Marketing (VM) but the key problem with VM is to find the set of influential users, who, when convinced to adopt an innovation or idea, shall influence other users in the network, leading to large number of adoptions. Therefore, in our study...
As an objective reality, the social behavior pattern of Primary Users (PUs) has significant impacts on the design and management of the secondary network. However, most of the existing works overlook this fact by simplifying the spectrum whitespace assumption. In this paper, we study the joint routing and time-domain scheduling problem for Cognitive Radio Networks (CRNs) by considering the social...
Solving the eigenvalues of matrices is an open problem which is often related to scientific computation. With the increasing of the order of matrices, traditional sequential algorithms are unable to meet the needs for the calculation time. Although people can use cluster systems in a short time to solve the eigenvalues of large-scale matrices, it will bring an increase in equipment costs and power...
As a promising communication paradigm, Cognitive Radio Networks (CRNs) have paved a road for Secondary Users (SUs) to opportunistically exploit unused licensed spectrum without causing unacceptable interference to Primary Users (PUs). In this paper, we study the distributed data collection problem for asynchronous CRNs, which has not been addressed before. First, we study the Proper Carrier-sensing...
A Connected Dominating Set (CDS) is used as a virtual backbone for efficient routing and broadcasting in Wireless Sensor Networks (WSNs). Most existing works focus on constructing a Minimum CDS (MCDS), a k-connect m-dominating CDS, a minimum routing cost CDS or a bounded-diameter CDS. However, no work considers the load-balance factor of CDSs in WSNs. In this paper, we propose a new concept — the...
Query scheduling as one of the most important technologies used in query processing has been widely studied recently. Unfortunately, to the best of our knowledge, no previous work focuses on the Minimum Latency Multi-Regional Query Scheduling (ML-MRQS) problem. In this paper, we investigate the ML-MRQS problem in Wireless Sensor Networks (WSNs), which aims to generate a scheduling plan with minimum...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.