scholarly journals Open, Programmable, and Virtualized 5G Networks: State-of-the-Art and the Road Ahead

2020 ◽  
Vol 182 ◽  
pp. 107516 ◽  
Author(s):  
Leonardo Bonati ◽  
Michele Polese ◽  
Salvatore D’Oro ◽  
Stefano Basagni ◽  
Tommaso Melodia
Keyword(s):  
State Of The Art ◽  
5G Networks ◽  
The Road

The road to IMT-advanced communication systems: State-of-the- art and innovation areas addressed by the WINNER + project

2009 ◽  
Vol 47 (6) ◽  
pp. 38-47 ◽  
Author(s):  
A. Osseiran ◽  
E. Hardouin ◽  
A. Gouraud ◽  
M. Boldi ◽  
I. Cosovic ◽  
...  
Keyword(s):  
Communication Systems ◽  
State Of The Art ◽  
The Road

scholarly journals INTEREST-FREE FINANCING IN AGRO-INDUSTRY: CONCEPTS, THEORIES, METHODS AND RESEARCH GAPS

2021 ◽  
Vol 9 (03) ◽  
pp. 84-94
Author(s):  
Kiki Yulianto ◽  
◽  
Sukardi a ◽  
Nastiti Siswi Indrasti ◽  
Sapta Raharja ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Secondary Data ◽  
Future Research ◽  
Literature Study ◽  
Research Gaps ◽  
The Road ◽  
Road Map ◽  
Conference Papers

Interest-free financing in agro-industry is an exciting topic that has been developed by many researchers, but there is no clarity regarding the road map for future research. Therefore, formulations such as concepts, theories, methods, and research gaps, focusing on interest-free financing in agro-industry, are essential. This literature study was conducted using a systematic literature review method. The data used are secondary data from textbooks, theses/dissertations, conference papers, journals, scientific articles, and working papers. This study resulted in the formulation of the theory, concepts, and methods studied in the form of an explanation of 8 sub-topics of research gaps supported by references and explanations of state of the art. They are making it easier for researchers who have the same interest in developing and looking for novelties with the topic of interest-free financing research in the agro-industry.

scholarly journals Spin Wave Based Full Adder

2021 ◽  
Author(s):  
Abdulqader Mahmoud ◽  
Frederic Vanderveken ◽  
Florin Ciubotaru ◽  
Christoph Adelmann ◽  
Sorin Cotofana ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Wall Motion ◽  
State Of The Art ◽  
Magnetic Tunnel Junction ◽  
Domain Wall Motion ◽  
Full Adder ◽  
Low Energy ◽  
Phase Detection ◽  
Micromagnetic Simulations ◽  
The Road

Spin Waves (SWs) propagate through magnetic waveguides and interfere with each other without consuming noticeable energy, which opens the road to new ultra-low energy circuit designs. In this paper we build upon SW features and propose a novel energy efficient Full Adder (FA) design consisting of The FA 1 Majority and 2 XOR gates, which outputs Sum and Carry-out are generated by means of threshold and phase detection, respectively. We validate our proposal by means of MuMax3 micromagnetic simulations and we evaluate and compare its performance with state-of-the-art SW, 22nm CMOS, Magnetic Tunnel Junction (MTJ), Spin Hall Effect (SHE), Domain Wall Motion (DWM), and Spin-CMOS implementations. Our evaluation indicates that the proposed SW FA consumes 22.5% and 43% less energy than the direct SW gate based and 22nm CMOS counterparts, respectively. Moreover it exhibits a more than 3 orders of magnitude smaller energy consumption when compared with state-of-the-art MTJ, SHE, DWM, and Spin-CMOS based FAs, and outperforms its contenders in terms of area by requiring at least 22% less chip real-estate.

scholarly journals Deep-Learning-Based Road Crack Detection Frameworks for Dashcam-captured Images under Different Illumination Conditions

2021 ◽  
Author(s):  
Da-Ren Chen ◽  
Wei-Min Chiu
Keyword(s):  
Object Detection ◽  
Large Scale ◽  
Crack Detection ◽  
State Of The Art ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Machine Learning Techniques ◽  
Detection Accuracy ◽  
The Road ◽  
Art Object

Abstract Machine learning techniques have been used to increase detection accuracy of cracks in road surfaces. Most studies failed to consider variable illumination conditions on the target of interest (ToI), and only focus on detecting the presence or absence of road cracks. This paper proposes a new road crack detection method, IlumiCrack, which integrates Gaussian mixture models (GMM) and object detection CNN models. This work provides the following contributions: 1) For the first time, a large-scale road crack image dataset with a range of illumination conditions (e.g., day and night) is prepared using a dashcam. 2) Based on GMM, experimental evaluations on 2 to 4 levels of brightness are conducted for optimal classification. 3) the IlumiCrack framework is used to integrate state-of-the-art object detecting methods with CNN to classify the road crack images into eight types with high accuracy. Experimental results show that IlumiCrack outperforms the state-of-the-art R-CNN object detection frameworks.

scholarly journals State-of-the-art review: preventing child and youth pedestrian motor vehicle collisions: critical issues and future directions

2020 ◽  
pp. injuryprev-2020-043829 ◽  
Author(s):  
Marie-Soleil Cloutier ◽  
Emilie Beaulieu ◽  
Liraz Fridman ◽  
Alison K Macpherson ◽  
Brent E Hagel ◽  
...  
Keyword(s):  
Risk Factors ◽  
English Language ◽  
Motor Vehicle ◽  
State Of The Art ◽  
Intersectoral Collaboration ◽  
Future Directions ◽  
Vehicle Collisions ◽  
The Road ◽  
Vehicle Collision ◽  
Critical Issues

AimTo undertake a comprehensive review of the best available evidence related to risk factors for child pedestrian motor vehicle collision (PMVC), as well as identification of established and emerging prevention strategies.MethodsArticles on risk factors were identified through a search of English language publications listed in Medline, Embase, Transport, SafetyLit, Web of Science, CINHAL, Scopus and PsycINFO within the last 30 years (~1989 onwards).ResultsThis state-of-the-art review uses the road safety Safe System approach as a new lens to examine three risk factor domains affecting child pedestrian safety (built environment, drivers and vehicles) and four cross-cutting critical issues (reliable collision and exposure data, evaluation of interventions, evidence-based policy and intersectoral collaboration).ConclusionsResearch conducted over the past 30 years has reported extensively on child PMVC risk factors. The challenge facing us now is how to move these findings into action and intervene to reduce the child PMVC injury and fatality rates worldwide.

scholarly journals “What’s the Robo-Driver up to?” Requirements for Screen-based Awareness and Intent Communication in Autonomous Buses

i-com ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 151-165 ◽  
Author(s):  
Peter Fröhlich ◽  
Raimund Schatz ◽  
Markus Buchta ◽  
Johann Schrammel ◽  
Stefan Suette ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Visual Communication ◽  
State Of The Art ◽  
User Studies ◽  
Potential Hazard ◽  
The Road ◽  
On The Road ◽  
Study Participants ◽  
First Time ◽  
Public Demonstration

Abstract Autonomous buses are expected to become a cornerstone of future mobility systems. Especially during their introduction, passengers may require reassurance about the vehicle’s awareness of the situation on the road and of its intended next actions to further acceptance. In order to investigate the need and requirements for information about the vehicle’s awareness and intent from the perspective of first-time users, we conducted two user studies in a state-of-the-art autonomous bus at public demonstration spaces. In the first study, participants underwent a demonstration ride with the bus and were then asked about their needs for awareness and intent communication. The second study took participants on a ‘simulated ride’ within a stationary bus, in which typical scenarios of the road ahead were presented, together with different awareness and intent cues. Our results suggest that, first, future autonomous bus passengers may be in need of such awareness and intent communication screens. Second, we found that awareness and intent communication may be of greater importance for the indication of potential hazard recognition than for indicating route directions. Third, due to their complementary strengths, none of the three compared types of visual communication (text, icon and augmented reality) should be used in isolation.

scholarly journals The road ahead in clinical network neuroscience

2019 ◽  
Vol 3 (4) ◽  
pp. 969-993 ◽  
Author(s):  
Linda Douw ◽  
Edwin van Dellen ◽  
Alida A. Gouw ◽  
Alessandra Griffa ◽  
Willem de Haan ◽  
...  
Keyword(s):  
State Of The Art ◽  
Brain Network ◽  
Disease Classification ◽  
Clinical Neuroscience ◽  
The Road ◽  
Clinical Network ◽  
Current State ◽  
Structural Network ◽  
Multidisciplinary Group ◽  
Network Neuroscience

Clinical network neuroscience, the study of brain network topology in neurological and psychiatric diseases, has become a mainstay field within clinical neuroscience. Being a multidisciplinary group of clinical network neuroscience experts based in The Netherlands, we often discuss the current state of the art and possible avenues for future investigations. These discussions revolve around questions like “How do dynamic processes alter the underlying structural network?” and “Can we use network neuroscience for disease classification?” This opinion paper is an incomplete overview of these discussions and expands on ten questions that may potentially advance the field. By no means intended as a review of the current state of the field, it is instead meant as a conversation starter and source of inspiration to others.

scholarly journals Automatic Road Pavement Assessment with Image Processing: Review and Comparison

2011 ◽  
Vol 2011 ◽  
pp. 1-20 ◽  
Author(s):  
Sylvie Chambon ◽  
Jean-Marc Moliard
Keyword(s):  
Image Processing ◽  
Crack Detection ◽  
State Of The Art ◽  
Civil Infrastructures ◽  
The Road ◽  
Multi Scale ◽  
Road Pavement ◽  
Optical Images ◽  
Detection Approach ◽  
Pavement Crack Detection

In the field of noninvasive sensing techniques for civil infrastructures monitoring, this paper addresses the problem of crack detection, in the surface of the French national roads, by automatic analysis of optical images. The first contribution is a state of the art of the image-processing tools applied to civil engineering. The second contribution is about fine-defect detection in pavement surface. The approach is based on a multi-scale extraction and a Markovian segmentation. Third, an evaluation and comparison protocol which has been designed for evaluating this difficult task—the road pavement crack detection—is introduced. Finally, the proposed method is validated, analysed, and compared to a detection approach based on morphological tools.

scholarly journals Specifics of road safety inspection in tunnels

2021 ◽  
Vol 67 (3) ◽  
pp. 33-38
Author(s):  
Emir Smailovic ◽  
Boris Antić ◽  
Dalibor Pešić ◽  
Slaviš Beronja
Keyword(s):  
Energy Efficiency ◽  
Road Safety ◽  
Traffic Accident ◽  
Road Network ◽  
Road Traffic ◽  
State Of The Art ◽  
Safety Standards ◽  
The Road ◽  
Road Users ◽  
Road Tunnels

Tunnels are underground passages, placed horizontally, which serve to lead the road through them. In order to fulfill its purpose in road traffic, the tunnel must fit into the traffic infrastructure and as such not create an obstacle in movement and enable the movement of vehicles from entrance to exit without danger, but with increased restriction of freedom of lateral evacuation. Tunnels are among some of the most risky parts of the road network, primarily due to space constraints, where there is a possibility of a traffic accident. Managing the risks associated with the passage of road traffic, and in particular the safety of traffic in tunnels, is a serious problem in many countries. With the growing number of road users, it is necessary to adopt stricter standards regarding road tunnels. In addition to meeting these safety standards, factors such as operational requirements, economic efficiency, energy efficiency and state-of-the-art technology should also be taken into account when planning and equipping tunnels.

scholarly journals The Road Towards 6G: A Comprehensive Survey

2021 ◽  
Author(s):  
Wei Jiang ◽  
Bin Han ◽  
Mohammad Asif Habibi ◽  
Hans Dieter Schotten
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Use Cases ◽  
Research Issues ◽  
The Road ◽  
Fifth Generation ◽  
Technical Requirements ◽  
Sixth Generation ◽  
Comprehensive Survey ◽  
Quantitative Manner

<p>As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generation. At this crossroad, an overview of the current state of the art and a vision of future communications are definitely of interest. This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), and enabling technologies. First, we attempt to answer the question of “Is there any need for 6G?” by shedding light on the key driving factors of 6G, in which we predict the explosive growth of mobile traffic until 2030, and envision potential use cases and usage scenarios. Second, the technical requirements of 6G are discussed and compared with those of 5G with respect to a set of KPIs in a quantitative manner. Third, the state-of-the-art 6G research efforts and activities from representative institutions and countries are summarized, and a tentative roadmap of definition, specification, standardization, and regulation is projected. Then, we identify a dozen of potential technologies and introduce their principles, advantages, challenges, and open research issues. Finally, the conclusions are drawn to paint a picture of “What 6G may look like?”. This survey is intended to serve as an enlightening guideline to spur interests and further investigations for subsequent research and development of 6G communications systems.</p>

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