1,721,477 research outputs found
Special issue on advances in data intelligence and modelling
No full textShakshuki, EM (corresponding author), Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS, Canada.
[email protected]; [email protected]
Applications of machine learning in pervasive systems
No full textShakshuki, EM (corresponding author), Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS, Canada.
[email protected]; [email protected]; [email protected]
Queue based Vehicular Ad Hoc Network Prognostic Offloading Approach
No full textVehicular Ad hoc NETworking (VANET) enables a vehicle to connect with other vehicles and the surrounding devices such as Road Side Units (RSUs) and base-stations through a wireless network. There are challenging issues within VANET environment caused by the high demand of Internet access. These issues include an increase in the vehicle traffic and the necessity of dynamic topologies. Nowadays, the high usage of Internet in vehicles is also increasing the load on the cellular network base-stations. To alleviate the load from the base-stations, vehicles should be able to switch the communication between the cellular network and RSUs to offload the data. When a vehicle is not within the RSU signal range, it is still possible for the vehicle to exchange information using Vehicle-to-Vehicle (V2V) communication. The main aim of this paper is to predict the vehicles topology, identify multiple offloading paths and compute the costs of the identified paths. Towards this end, knowledge defined network is utilized. To deal with connection interruptions in V2V, we develop algorithms for predicting an efficient V2V offloading path using queues. These algorithms make it possible to reduce the response time, improve the resource management of the network and helps in efficient service connectivity. (C) 2020 The Authors. Published by Elsevier B.V.Guntuka, S (corresponding author), Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS B4P 2R6, Canada.
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Vehicular Data Offloading by Road-Side Units Using Intelligent Software Defined Network
No full textThe evolution of wide variety of applications that are used by vehicular users includes a lot of data hungry applications. This increases the workload on the cellular networks, thereby delivering poor service to the users. We can overcome this problem by sharing this workload with open wireless networks. As such, this improves the Quality of Service provided by cellular networks. RoadSide Units (RSU) are a wireless network which plays a major role in data offloading. Our approach discusses switching the communication network from cellular to RSU whenever there is an opportunity for a vehicle to offload vehicles data. Busy roads/urban traffic consists of several RSUs with many users. In urban environment, the vehicular user needs to choose an RSU from several available RSUs within the vehicle communication proximity. For seamless connectivity, the delay in network communication because of selecting the best RSU and frequent switching of connection between vehicles and RUSs must be minimized. In this paper, we propose a Smart Ranking based Data Offloading (SRDO) algorithm for selecting an RSU and to improve the Quality of Service. In SRDO algorithm, Q-Learning is utilized for RSU selection. This algorithm is modelled in Software Defined Network controller to deal with the problem of choosing the RSU in an intelligent way for data offloading. Abstract The evolution of wide variety of applications that are used by vehicular users includes a lot of data hungry applications. This increases the workload on the cellular networks, thereby delivering poor service to the users. We can overcome this problem by sharing this workload with open wireless networks. As such, this improves the Quality of Service provided by cellular networks. RoadSide Units (RSU) are a wireless network which plays a major role in data offloading. Our approach discusses switching the communication network from cellular to RSU whenever there is an opportunity for a vehicle to offload vehicles data. Busy roads/urban traffic consists of several RSUs with many users. In urban environment, the vehicular user needs to choose an RSU from several available RSUs within the vehicle communication proximity. For seamless connectivity, the delay in network communication because of selecting the best RSU and frequent switching of connection between vehicles and RUSs must be minimized. In this paper, we propose a Smart Ranking based Data Offloading (SRDO) algorithm for selecting an RSU and to improve the Quality of Service. In SRDO algorithm, Q-Learning is utilized for RSU selection. This algorithm is modelled in Software Defined Network controller to deal with the problem of choosing the RSU in an intelligent way for data offloading
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Acknowledgment scheme using cloud for node networks with energy-aware hybrid scheduling strategy
No full textCloud computing is attracting a lot of traffic on the Internet. Due to the distributed nature of the ad hoc networks, there is no clear path for the communication between nodes. Additionally, there is no centralized or master node to guide the rest of the nodes in the distributed networks. Since the networks are continually expanding, it is vital to mention that there is a substantial increase in the number of attacks. As such, we became interested to consider monitoring the wireless network using cloud. This way, we will be able to deal with varies attacks and to provide better guidance for the networks. In this paper, we propose a new approach for acknowledgement scheme, using a one hop cloud technology, called Cloud Acknowledgement Scheme. This approach strengthens the wireless network by introducing cloud as a monitoring tool as well as to act as a leader node. An efficient cloud provisioning needs a better scheduling scheme. Towards this end, this paper is proposing a new approach to support the short-lived nature of acknowledgment packets in an efficient manner. Our proposed approach constitutes of two developed algorithms that act as one. These scheduling algorithms help to accomplish the purpose of cloud acknowledgment scheme. It is also important and significant to consider the cloud's awareness of energy consumption to reduce the impact on the environment. Towards this end, monitoring energy consumption is achieved by assigning priorities on the given tasks and balancing the performance and the energy of the cloud. The proposed approach is demonstrated and proved as working models using simulations. The results suggest that our proposed approach has the potential to alternate other existing acknowledgement schemes.Kaja, S (corresponding author), Acadia Univ, Wolfville, NS, Canada.
[email protected]; [email protected]; [email protected]; [email protected]; [email protected]
A microsimulation-based analysis for driving behaviour modelling on a congested expressway
No full textRecently, simulation models have been widely used around the world to evaluate the performance of different traffic facilities and management strategies for efficient and sustainable transportation systems. One of the keys factors for ensuring the reliability of the models in reflecting local conditions is the calibration and validation of microsimulation models. The majority of the existing calibration efforts focus is on the experimental designs of driver behaviour and lane-changing parameters. Towards this end, this paper describes the necessary procedure for the calibration and validation of a microscopic model using the VISSIM software, during peak hours. The procedure is applied on Muscat Expressway in the Sultanate of Oman. The calibration parameters and the measure-of-effectiveness are identified by using multi-parameter sensitivity analysis. The optimum values for these parameters are obtained by minimising errors between simulated data and field data. In our proposed model, we used traffic volume and travel speed for model calibration, as well as average travel time for validation of the calibrated model. The achieved results showed that driving characteristics significantly impacted the merging/diverging traffic flow ratio in the merging area, the link length and the distance between on-ramps and off-ramps, as well as the percentage of heavy vehicles. The results also showed that having both the advanced merging and cooperative lane-change settings active, along with safety distance reduction factor, necessary lane change, minimum headway (front/rear), and emergency stop, had a significant influence on simulation precision, especially at on-ramps and off-ramps. Finally, our proposed model can be utilized as a base for future traffic strategy analysis and intelligent transportation systems evaluation to help decision makers with long-term and sustainable development decisionsFarrag, SG (corresponding author), Hasselt Univ, Transportat Res Inst, Hasselt, Belgium.
[email protected]; [email protected]; [email protected]; [email protected]; [email protected], SG (corresponding author), Hasselt Univ, Transportat Res Inst, Hasselt, Belgium.
[email protected]; [email protected]; [email protected]; [email protected]; [email protected]
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