scholarly journals Authentication and Authorization for Mobile IoT Devices Using Biofeatures: Recent Advances and Future Trends

2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Mohamed Amine Ferrag ◽  
Leandros Maglaras ◽  
Abdelouahid Derhab
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Future Research ◽  
Future Trends ◽  
Different Types ◽  
Authentication And Authorization ◽  
Authentication Schemes ◽  
Mining Methods ◽  
Iot Devices ◽  
Biometric Based Authentication

Biofeatures are fast becoming a key tool to authenticate the IoT devices; in this sense, the purpose of this investigation is to summarise the factors that hinder biometrics models’ development and deployment on a large scale, including human physiological (e.g., face, eyes, fingerprints-palm, or electrocardiogram) and behavioral features (e.g., signature, voice, gait, or keystroke). The different machine learning and data mining methods used by authentication and authorization schemes for mobile IoT devices are provided. Threat models and countermeasures used by biometrics-based authentication schemes for mobile IoT devices are also presented. More specifically, we analyze the state of the art of the existing biometric-based authentication schemes for IoT devices. Based on the current taxonomy, we conclude our paper with different types of challenges for future research efforts in biometrics-based authentication schemes for IoT devices.

Overview of Subsynchronous Oscillation in Grid-connected Wind Farm

2020 ◽  
Vol 13 (7) ◽  
pp. 969-979
Author(s):  
Xu Pei-Zhen ◽  
Lu Yong-Geng ◽  
Cao Xi-Min
Keyword(s):  
Power Systems ◽  
Wind Turbine ◽  
Large Scale ◽  
Wind Farm ◽  
Wind Farms ◽  
Induction Generator ◽  
Future Research ◽  
Stable Operation ◽  
Subsynchronous Oscillation ◽  
Different Types

Background: Over the past few years, the subsynchronous oscillation (SSO) caused by the grid-connected wind farm had a bad influence on the stable operation of the system and has now become a bottleneck factor restricting the efficient utilization of wind power. How to mitigate and suppress the phenomenon of SSO of wind farms has become the focus of power system research. Methods: This paper first analyzes the SSO of different types of wind turbines, including squirrelcage induction generator based wind turbine (SCIG-WT), permanent magnet synchronous generator- based wind turbine (PMSG-WT), and doubly-fed induction generator based wind turbine (DFIG-WT). Then, the mechanisms of different types of SSO are proposed with the aim to better understand SSO in large-scale wind integrated power systems, and the main analytical methods suitable for studying the SSO of wind farms are summarized. Results: On the basis of results, using additional damping control suppression methods to solve SSO caused by the flexible power transmission devices and the wind turbine converter is recommended. Conclusion: The current development direction of the SSO of large-scale wind farm grid-connected systems is summarized and the current challenges and recommendations for future research and development are discussed.

ON THE CHARACTERISTICS OF INNOVATIVE FIRMS IN KOREA: THE ROLE OF R&D AND INNOVATION TYPE

1999 ◽  
Vol 03 (01) ◽  
pp. 111-131 ◽  
Author(s):  
YONG-TAE PARK ◽  
CHUL-HYUN KIM ◽  
JI-HYO LEE
Keyword(s):  
Large Scale ◽  
Data Gathering ◽  
Policy Implications ◽  
Future Research ◽  
Different Types ◽  
Innovative Firms ◽  
Unexpected Findings ◽  
Innovation Type ◽  
Recent Extension

In spite of the recent extension of our knowledge on technological innovation, little inquiry has been made of the distinctive characteristics between R&D firms and non-R&D firms, as well as between product-innovative firms and process-innovative firms. To this end, the main objective of this empirical study, grounded on a large-scale innovation survey of Korean manufacturing firms, is to contrast these two types of firms. The results were mixed. Some hypotheses were confirmed while others were discordant with expectation. By and large, R&D firms and product-innovative firms seem to share a similar propensity, whereas non-R&D firms and process-innovative firms are alike in character. However, there were some unexpected findings which merit attention and are worthy of in-depth examination. Although the study is subject to limitations in terms of its research design and data gathering, the results render some important policy implications. Furthermore, comparative analyses between different types of innovations need to be addressed more extensively in future research.

A Comprehensive Taxonomy of Dynamic Texture Representation

2023 ◽  
Vol 55 (1) ◽  
pp. 1-39
Author(s):  
Thanh Tuan Nguyen ◽  
Thanh Phuong Nguyen
Keyword(s):  
Large Scale ◽  
Environmental Changes ◽  
State Of The Art ◽  
The State ◽  
Future Research ◽  
Research Activities ◽  
Potential Applications ◽  
Benchmark Datasets ◽  
Negative Impacts ◽  
Made In

Representing dynamic textures (DTs) plays an important role in many real implementations in the computer vision community. Due to the turbulent and non-directional motions of DTs along with the negative impacts of different factors (e.g., environmental changes, noise, illumination, etc.), efficiently analyzing DTs has raised considerable challenges for the state-of-the-art approaches. For 20 years, many different techniques have been introduced to handle the above well-known issues for enhancing the performance. Those methods have shown valuable contributions, but the problems have been incompletely dealt with, particularly recognizing DTs on large-scale datasets. In this article, we present a comprehensive taxonomy of DT representation in order to purposefully give a thorough overview of the existing methods along with overall evaluations of their obtained performances. Accordingly, we arrange the methods into six canonical categories. Each of them is then taken in a brief presentation of its principal methodology stream and various related variants. The effectiveness levels of the state-of-the-art methods are then investigated and thoroughly discussed with respect to quantitative and qualitative evaluations in classifying DTs on benchmark datasets. Finally, we point out several potential applications and the remaining challenges that should be addressed in further directions. In comparison with two existing shallow DT surveys (i.e., the first one is out of date as it was made in 2005, while the newer one (published in 2016) is an inadequate overview), we believe that our proposed comprehensive taxonomy not only provides a better view of DT representation for the target readers but also stimulates future research activities.

Transcriptional Regulatory Network Topology with Applications to Bio-inspired Networking: A Survey

2022 ◽  
Vol 54 (8) ◽  
pp. 1-36
Author(s):  
Satyaki Roy ◽  
Preetam Ghosh ◽  
Nirnay Ghosh ◽  
Sajal K. Das
Keyword(s):  
Communication Networks ◽  
Biological Networks ◽  
Regulatory Network ◽  
Large Scale ◽  
Data Transfer ◽  
Transcriptional Regulatory Network ◽  
Future Research ◽  
Transcriptional Regulatory ◽  
Iot Devices ◽  
Networking Protocols

The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This paradigm has led to considerable improvement in network latency and bandwidth usage over the traditional cloud-centric paradigm. However, the next generation networks continue to be stymied by their inability to achieve adaptive, energy-efficient, timely data transfer in a dynamic and failure-prone environment—the very optimization challenges that are dealt with by biological networks as a consequence of millions of years of evolution. The transcriptional regulatory network (TRN) is a biological network whose innate topological robustness is a function of its underlying graph topology. In this article, we survey these properties of TRN and the metrics derived therefrom that lend themselves to the design of smart networking protocols and architectures. We then review a body of literature on bio-inspired networking solutions that leverage the stated properties of TRN. Finally, we present a vision for specific aspects of TRNs that may inspire future research directions in the fields of large-scale social and communication networks.

SEISMIC RESISTANT DESIGN OF CYLINDRICAL LIQUID STORAGE TANKS

1981 ◽  
pp. 77
Author(s):  
Vitelmo Bertero
Keyword(s):  
Seismic Behavior ◽  
State Of The Art ◽  
The State ◽  
Experimental Investigations ◽  
Future Research ◽  
Storage Tanks ◽  
Liquid Storage ◽  
Different Types ◽  
Seismic Resistant ◽  
Recent Earthquakes

This is a paper that summarizes the state of the practice and state of the art in the prediction of seismic behavior of cylindrical liquid storage tanks. It can be divided into five parts. In the first part the seismic performance of these types of tanks during recent   earthquakes is brielfly reviewed. From this review it becomes evident that a large percentage of these tanks have failed or suffered severe damages. The different types of failure are classified into several categories. The second part of the paper discusses the desing of some of the thank that suffered damages andthe state of the practice is summarized by reviewing present seismic code desing provisions. Thirdly, the soundness of these code provisions is analyzed in view of the state of thank.  Results obtained in recent theoretical and experimental investigations of such behavior are summarized and implications regarding needed improvement in seismic desing are assessed. Results from analyses of an existing  thank using different methods are presented and compared. An improved procedure for the practical seismic resistant desing of these thanks is outlined in the fourth part of the paper. A series of practical desing rules which provide extra margins of safety are offered and the extra cost required is discussed. Finally, recommendations for future research to improve the desing and construction of this type of liquid storage thanks are formuated.

Understanding Diversity as Culture

2013 ◽  
Author(s):  
Eduardo Salas ◽  
Maritza R. Salazar ◽  
Michele J. Gelfand
Keyword(s):  
Cultural Diversity ◽  
Team Performance ◽  
State Of The Art ◽  
Group Processes ◽  
The State ◽  
Combined Effect ◽  
Future Research ◽  
Different Types ◽  
Key Issues

Cultural diversity—the degree to which there are differences within and between individuals based on both subjective and objective components of culture—can affect individual and group processes. However, much is still unclear about the effects of cultural diversity. We review the literature on cultural diversity to assess the state of the art and to identify key issues for future research. This review emphasizes the importance of understanding different types of cultural diversity and their independent and combined effect on team performance. We identify key contributions to the study of cultural diversity and discuss frontiers for future research.

scholarly journals Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

2021 ◽  
Vol 9 ◽  
pp. 1061-1080
Author(s):  
Prakhar Ganesh ◽  
Yao Chen ◽  
Xin Lou ◽  
Mohammad Ali Khan ◽  
Yin Yang ◽  
...  
Keyword(s):  
Language Processing ◽  
Large Scale ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Research Attention ◽  
Model Compression ◽  
Future Research Directions ◽  
Or Applications

Abstract Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks. However, these models often have billions of parameters, and thus are too resource- hungry and computation-intensive to suit low- capability devices or applications with strict latency requirements. One potential remedy for this is model compression, which has attracted considerable research attention. Here, we summarize the research in compressing Transformers, focusing on the especially popular BERT model. In particular, we survey the state of the art in compression for BERT, we clarify the current best practices for compressing large-scale Transformer models, and we provide insights into the workings of various methods. Our categorization and analysis also shed light on promising future research directions for achieving lightweight, accurate, and generic NLP models.

scholarly journals Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

2021 ◽  
Vol 4 ◽  
pp. 205920432199770
Author(s):  
Kat R. Agres ◽  
Rebecca S. Schaefer ◽  
Anja Volk ◽  
Susan van Hooren ◽  
Andre Holzapfel ◽  
...  
Keyword(s):  
Health Care ◽  
Large Scale ◽  
State Of The Art ◽  
Well Being ◽  
Music Technology ◽  
The State ◽  
Future Research ◽  
Challenges And Opportunities ◽  
Evidence Based Treatments ◽  
Music Information

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech), and robotics. Following the discussions at the workshop, this article provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the article summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that (1) supports person-centered care and evidence-based treatments, and (2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The article provides a resource for those seeking to engage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field.

Aquatic phytoremediation: Novel insights in tropical and subtropical regions

2010 ◽  
Vol 82 (1) ◽  
pp. 27-38 ◽  
Author(s):  
Eugenia J. Olguín ◽  
Gloria Sánchez-Galván
Keyword(s):  
Constructed Wetlands ◽  
Large Scale ◽  
State Of The Art ◽  
Surface Flow ◽  
Tropical Regions ◽  
Different Types ◽  
Artificial Ecosystems ◽  
Specific Species ◽  
Long Term Studies

An overview of the state of the art in phytofiltration of nutrients and heavy metals (HMs) from wastewaters using tropical and subtropical plants in constructed wetlands (CWs) and lagoons is presented. Various mechanisms to remove these pollutants are discussed, in regard to three different types of systems: surface flow constructed wetlands (SFCWs), subsurface flow constructed wetlands (SSFCWs), and lagoons with floating plants. Only recent reports at laboratory, pilot and full scale, especially in tropical regions, are discussed. Most of the experiences around the world have shown that these systems are efficient and high removal percentages have been reported for both, nutrients and metals. However, there are still several unsolved or partially understood issues. Long-term studies at the mesocosms or large scale, in order to gain a full insight of the various mechanisms occurring in each system, are required. The understanding of the fate or compartmentalization of the pollutants in these complex artificial ecosystems, especially in the case of HMs, will permit us to establish the frequency of harvesting and the advantages of the use of specific species. The huge bio-diversity that is commonly found in tropical and subtropical regions represents a challenge for finding new species with outstanding characteristics for tolerance to toxic and recalcitrant pollutants or to extreme environmental conditions, such as high temperature or salinity.

scholarly journals Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being

2021 ◽  
Author(s):  
Kat Rose Agres ◽  
Rebecca Schaefer ◽  
Anja Volk ◽  
Susan van Hooren ◽  
André Holzapfel ◽  
...  
Keyword(s):  
Health Care ◽  
Large Scale ◽  
State Of The Art ◽  
Well Being ◽  
Music Technology ◽  
The State ◽  
Future Research ◽  
Challenges And Opportunities ◽  
Evidence Based Treatments ◽  
Music Information

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop ‘Music, Computing, and Health’ was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech) and robotics. Following the discussions at the workshop, this paper provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the paper summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that 1) supports person-centered care and evidence-based treatments, and 2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The paper provides a resource for those seeking toengage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field.

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