scholarly journals Priority-Based Bandwidth Management in Virtualized Software-Defined Networks

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1009
Author(s):  
Luca Leonardi ◽  
Lucia Lo Bello ◽  
Simone Aglianò
Keyword(s):  
Network Virtualization ◽  
Network Size ◽  
Bandwidth Management ◽  
Resource Manager ◽  
Efficient Management ◽  
Industrial Internet ◽  
Combined Use ◽  
Different Types ◽  
Promising Solution ◽  
Bandwidth Distribution

In Industrial Internet of Things (IoT) applications, when the network size increases and different types of flows share the bandwidth, the demand for flexible and efficient management of the communication network is compelling. In these scenarios, under varying workload and flow priorities, the combined use of Software-Defined Networking (SDN) and Network Virtualization (NV) is a promising solution, as such techniques allow to reduce the network management complexity. This work presents the PrioSDN Resource Manager (PrioSDN_RM), a resource management mechanism based on admission control for virtualized SDN-based networks. The proposed combination imposes bounds on the resource utilization for the virtual slices, which therefore share the network links, while maintaining isolation from each other. The presented approach exploits a priority-based runtime bandwidth distribution mechanism to dynamically react to load changes (e.g., due to alarms). The paper describes the design of the approach and provides experimental results obtained on a real testbed.

Een typologie van jonge nieuwsgebruikers in een multimediaal landschap

2011 ◽  
Vol 39 (1) ◽  
Author(s):  
Anna Van Cauwenberge ◽  
Hans Beentjes ◽  
Leen d’Haenens
Keyword(s):  
Cluster Analysis ◽  
News Media ◽  
Television News ◽  
Online News ◽  
Low Countries ◽  
Low Level ◽  
News Consumption ◽  
Combined Use ◽  
Different Types ◽  
Online News Sites

A typology of young news users in the Low Countries A typology of young news users in the Low Countries This article investigates different types of young news users (15-34 years) in the Low Countries. Therefore a survey among 1200 Flemish and Dutch youngsters and adolescents was conducted, analyzing the combined use of media platforms for news consumption and time spent with these news carriers. The cluster analysis identified five types of news users: the sound and vision group, characterized by the use of mainly audiovisual news platforms, combined with online news sites; the e-news users, who give most prominence to online news sites but also rely on traditional news platforms, the all rounders, depending on a range of off- and online news channels; the traditionalists, who spent most time with offline news media; and the dabblers, a group with an overall low level of news consumption. Our results indicate that Flemish and Dutch youngsters combine online and traditional news platforms for their news gathering, giving most prominence to traditional news media, especially television news.

scholarly journals A BOUNDARY-ENHANCED SUPERVOXEL METHOD FOR EXTRACTION OF ROAD EDGES IN MLS POINT CLOUDS

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 65-71
Author(s):  
Z. Sha ◽  
Y. Chen ◽  
W. Li ◽  
C. Wang ◽  
A. Nurunnabi ◽  
...  
Keyword(s):  
Point Clouds ◽  
Drop Out ◽  
Spatial Distance ◽  
Road Extraction ◽  
High Definition ◽  
Geometric Information ◽  
3D Point Clouds ◽  
Different Types ◽  
Promising Solution ◽  
Normal Feature

Abstract. Road extraction plays a significant role in production of high definition maps (HD maps). This paper presents a novel boundary-enhanced supervoxel segmentation method for extracting road edge contours from MLS point clouds. The proposed method first leverages normal feature judgment to obtain 3D point clouds global geometric information, then clusters points according to an existing method with global geometric information to enhance the boundaries. Finally, it utilizes the neighbor spatial distance metric to extract the contours and drop out existing outliers. The proposed method is tested on two datasets acquired by a RIEGL VMX-450 MLS system that contain the major point cloud scenes with different types of road boundaries. The experimental results demonstrate that the proposed method provides a promising solution for extracting contours efficiently and completely. Results show that the precision values are 1.5 times higher and approximately equal than the other two existing methods when the recall value is 0 for both tested two road datasets.

scholarly journals Overlay Virtualized Wireless Sensor Networks for Application in Industrial Internet of Things: A Review

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3215 ◽  
Author(s):  
Malvin Nkomo ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz ◽  
Saurabh Sinha ◽  
Adeiza. J. Onumanyi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Smart City ◽  
Overlay Networks ◽  
Network Virtualization ◽  
Wireless Sensor ◽  
Industrial Internet Of Things ◽  
Area Of Interest ◽  
Industrial Internet

In recent times, Wireless Sensor Networks (WSNs) are broadly applied in the Industrial Internet of Things (IIoT) in order to enhance the productivity and efficiency of existing and prospective manufacturing industries. In particular, an area of interest that concerns the use of WSNs in IIoT is the concept of sensor network virtualization and overlay networks. Both network virtualization and overlay networks are considered contemporary because they provide the capacity to create services and applications at the edge of existing virtual networks without changing the underlying infrastructure. This capability makes both network virtualization and overlay network services highly beneficial, particularly for the dynamic needs of IIoT based applications such as in smart industry applications, smart city, and smart home applications. Consequently, the study of both WSN virtualization and overlay networks has become highly patronized in the literature, leading to the growth and maturity of the research area. In line with this growth, this paper provides a review of the development made thus far concerning virtualized sensor networks, with emphasis on the application of overlay networks in IIoT. Principally, the process of virtualization in WSN is discussed along with its importance in IIoT applications. Different challenges in WSN are also presented along with possible solutions given by the use of virtualized WSNs. Further details are also presented concerning the use of overlay networks as the next step to supporting virtualization in shared sensor networks. Our discussion closes with an exposition of the existing challenges in the use of virtualized WSN for IIoT applications. In general, because overlay networks will be contributory to the future development and advancement of smart industrial and smart city applications, this review may be considered by researchers as a reference point for those particularly interested in the study of this growing field.

Collaborative Platform for Remote Manufacturing Systems Using Industrial Internet and Digital Twin in the COVID-19 Era

2021 ◽  
Author(s):  
Jay Lee ◽  
Xiaodong Jia ◽  
Qibo Yang ◽  
Keyi Sun ◽  
Xiang Li
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
The Real ◽  
Digital Twin ◽  
Manufacturing Efficiency ◽  
Industrial Internet ◽  
Industrial Operations ◽  
Promising Solution ◽  
Technology Group ◽  
Collaborative Platform

Abstract In the wake of COVID-19, significant influence on the manufacturing industries has been observed in the past year due to the restrictions of in-person communications and interactions. As a consequence, manufacturing efficiency has reduced remarkably all over the world. Despite the great harm to the industrial operations under the pandemic, the opportunities for remote collaborative manufacturing system also arise. Effective and efficient remote manufacturing systems for the real industries have been highly demanded. Through the integration of industrial internet and digital twin systems, the remote manufacturing system can be largely facilitated. This paper proposes a general framework for the remote manufacturing system during the COVID-19 era. The concept of the intelligent collaborative remote manufacturing system is firstly reviewed, as well as discussions of the current pandemic situation and its influence on the industries. The current commercial platforms of the systems are also presented. A case study on the lighthouse factories at the Foxconn Technology Group is finally presented for understanding the implementation of the proposed strategy. The effectiveness of the framework has been validated in the real industrial scenarios, and great economic and operational benefits have been obtained. The proposed framework offers a promising solution for the remote manufacturing system under the current pandemic.

Metatextual indicators and phraseological units in a multimodal corpus

2019 ◽  
Vol 5 (3) ◽  
pp. 241-258
Author(s):  
Jorge Leiva Rojo
Keyword(s):  
Spoken Language ◽  
Combined Use ◽  
Starting Point ◽  
Different Types ◽  
Multimodal Corpus ◽  
Main Factor

Abstract The present work aims to address the combined use of phraseological units and metatextual indicators in spoken language, that is, the mechanisms used to introduce phraseological units to listeners. Exhaustive knowledge of how metatextual indicators are employed in discourse is, no doubt, highly valuable in identifying phraseological units in cases where immediacy is a main factor, as is common in different types of interpreting. The main characteristics of metatextual indicators are considered, along with their different categories to date, taking as a starting point such works as those of Čermák (2005) and Goddard (2009). An analysis is also provided of the 100 most recent uses of the metatextual indicator as the saying goes from a search in the multimodal NewsScape corpus. Studying these 100 uses leads to the general conclusion that this indicator tends to precede phraseological units – overwhelmingly proverbs – and that the phraseological units tend to be used without any modifying mechanisms. However, there are numerous cases, while still a minority, of quotations and, within them, allusions to elements that go beyond their classic conception – such as the notable inclusion of cases where the speaker manipulates the canonical meaning of phraseological units.

scholarly journals Country-scale InSAR monitoring for settlement and uplift damage calculation in architectural heritage structures

2020 ◽  
pp. 147592172094212
Author(s):  
Anastasios Drougkas ◽  
Els Verstrynge ◽  
Koenraad Van Balen ◽  
Michal Shimoni ◽  
Thibauld Croonenborghs ◽  
...  
Keyword(s):  
Ground Movement ◽  
Analytical Models ◽  
Building Structures ◽  
Architectural Heritage ◽  
Damage Classification ◽  
General Applicability ◽  
Combined Use ◽  
Building Geometry ◽  
Different Types ◽  
The Common

The article proposes a methodology for assessing the development of damage in building structures, subjected to differential settlement and uplift, using the analysis of Interferometry Synthetic Aperture Radar (InSAR) data. The proposed methodology is targeted towards general applicability, capable of providing assessment results for measurements over wide geographic areas and for varying structural typologies. The methodology is not limited to ground movement measurements linked to tunnelling, as is the common case. Instead it extends to the monitoring of arbitrary movement in buildings, for example, due to ground consolidation, water table changes or excavation. The methodology is designed for use alongside patrimonial building databases, from which data on individual building geometry and typology are extracted on a region or country scale. Ground movement monitoring data are used for the calculation of the building deformation, expressed in different types of deformation parameters. The combined use of this data with analytical models for settlement damage classification in building structures enables the assessment in patrimonial building structures, at a country scale. The methodology is elaborated and applied on the patrimonial inventory of Belgium for the evaluation of potential settlement and uplift damage on buildings over a period of nearly three decades. The analysis results are compared to on-site observations.

scholarly journals Efficient Management of Road Intersections for Automated Vehicles—The FRFP System Applied to the Various Types of Intersections and Roundabouts

2019 ◽  
Vol 10 (1) ◽  
pp. 316 ◽  
Author(s):  
Basilio Filocamo ◽  
Javier Alonso Ruiz ◽  
Miguel Angel Sotelo
Keyword(s):  
Travel Time ◽  
State Of The Art ◽  
Automatic Driving ◽  
Road Congestion ◽  
Efficient Management ◽  
Different Types ◽  
Road Intersections ◽  
The Right ◽  
New System ◽  
Critical Aspects

In the last decade, automatic driving systems for vehicles circulating on public roads have become increasingly closer to reality. There is always a strong interest in this topic among research centers and car manufacturers. One of the most critical aspects is the management of intersections, i.e., who will have to go first and in what ways? This is the question we want to answer through this research. Clearly, the goal is to manage the intersection safely, making it possible to reduce road congestion, travel time, emissions, and fuel consumption as much as possible. The research is conducted by comparing a new management system with the systems already known in the state of the art for different types of intersections. The new system proposed by us is called FRFP (first to reach the end of the intersection first to pass). In particular, vehicles will increase or decrease their speed in collaboration with each other by making the right decision. The vehicle that can potentially reach the intersection exit first.

scholarly journals Low Memory Footprint CNN Models for end-to-end Driving of Autonomous Ground Vehicle and Custom Adaptation to Various Road Conditions.

2019 ◽  
Vol 9 (1) ◽  
pp. 3252-3259
Keyword(s):  
Autonomous Vehicle ◽  
Network Size ◽  
Computational Power ◽  
Refresh Rate ◽  
Power Cost ◽  
Ground Vehicle ◽  
The Road ◽  
Memory Footprint ◽  
Different Types ◽  
Minimum Number

The Idea presented in this paper is to establish that different types of Convolution Neural Network (CNN) model are required to be used for different types of terrains, to optimally drive the vehicle. The Layers and the trainable variables required to be configured as per the road conditions. For simpler roads, lighter and simpler networks and for complicated road, a CNN model with heavier network is required. Existing CNN models were used to build the performance baseline with respect to simple and complicated road conditions. In the proposed CNN models, layers and trainable parameters are adjusted according to the road conditions. The objective of the proposed solution is to successfully drive with minimum number of convolution layers and trainable variables, fit for deployment on computer consuming less than 100 watts, without GPU, for moderate speed autonomous vehicle. These new sets of proposed CNN models are either equal or smaller in network size and trainable parameters, memory footprint and refresh rate compared to Alexnet and Nvidia model. The overall requirement of computational power, cost, and size is also reduced. In this paper, we recommend designing AV software with multiple CNN models to address different road conditions instead of on one Model for all road conditions. Finally, we establish that when the terrain is more complex and requires more features to be extracted then the CNN layers need to be tweaked to extract more features and the speed of the vehicle needs to be reduced.

scholarly journals Analisis Penerapan Metode Antrian Hirarchical Token Bucket untuk Management Bandwidth Jaringan Internet

2018 ◽  
Vol 2 (2) ◽  
pp. 522-529
Author(s):  
Ira Puspita Sari ◽  
Sukri Sukri
Keyword(s):  
Process Data ◽  
Bandwidth Management ◽  
Average Value ◽  
Internet Connection ◽  
Internet Users ◽  
Token Bucket ◽  
Loss Parameter ◽  
Network Manager ◽  
High Level ◽  
Bandwidth Distribution

Internet is one of the needs of the community, especially among education and academics such as universities. The high level of internet users is not comparable with the facilities owned by an agency, this makes the internet network manager in Higher Education feel difficult. The cause of the problem that is always a problem is the speed and internet connection is always disjointed, resulting in the slow loading process data while browsing, both at the time of download and at the time of upload. To make internet users in campus area balanced and stable then need bandwidth management based on traffic usage of internet path better. Bandwidth management that can stabilize traffic lanes and equal bandwidth distribution, it can use bandwidth management by Hierarchical Token Bucket (HTB) method. The calculation result in HTB method testing through file download, the average value obtained by TIPHON category standard for throughtput value index is 2 with "Medium" category, delay parameter index is 4 with "Very Good" category, jitter parameter index is 3 with the "Good" category and the packet loss parameter index is 4 with the "Very Good" category.  

A Study of the Combined use of Carbon Black and Silica in Tyre Tread Formulations

2018 ◽  
Vol 45 (1) ◽  
pp. 5-9
Author(s):  
A.M. Mokhnatkin ◽  
V.P. Dorozhkin ◽  
E.G. Mokhnatkina ◽  
V.E. Muradyan ◽  
L.A. Zotov ◽  
...  
Keyword(s):  
Carbon Black ◽  
Relaxation Times ◽  
Styrene Butadiene Rubber ◽  
Butadiene Rubber ◽  
Transmission Electron ◽  
Rubber Compounds ◽  
Combined Use ◽  
Different Types ◽  
Styrene Butadiene ◽  
Tread Rubber

A specially designed relaxometer was used to measure the stress relaxation under 30% elongation for tread rubber compounds based on a blend of three rubbers: natural rubber, neodymium butadiene rubber, and oil-extended styrene butadiene rubber. The rubber compounds were filled with carbon black and silica in different ratios: with 80 parts carbon black only, with 80 parts silica only, and with different ratios of carbon black and silica. The method proposed by Bartenev was used to calculate the relaxation specta. The maxima of the spectra at different relaxation times were assigned to different types of interaction: rubber-filler interaction, carbon black-carbon black interaction, silica-silica interaction, carbon black-silica interaction. New maxima were obtained for specimens containing roughly equal amounts of carbon black and silica. These results were compared with data obtained using transmission electron microscopy. The existence of three levels of structure of filled elastomers and the presence of ‘rigid’ rubber around filler particles are suggested.

Sign in / Sign up

Export Citation Format

Share Document