scholarly journals A survey on time-sensitive resource allocation in the cloud continuum

2020 ◽  
Vol 62 (5-6) ◽  
pp. 241-255
Author(s):  
Saravanan Ramanathan ◽  
Nitin Shivaraman ◽  
Seima Suryasekaran ◽  
Arvind Easwaran ◽  
Etienne Borde ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Resource Allocation ◽  
State Of The Art ◽  
The Internet ◽  
Resource Allocation Problem ◽  
Research Gaps ◽  
Iot Applications ◽  
Efficient Management ◽  
Current State ◽  
Exchange Information

AbstractArtificial Intelligence (AI) and Internet of Things (IoT) applications are rapidly growing in today’s world where they are continuously connected to the internet and process, store and exchange information among the devices and the environment. The cloud and edge platform is very crucial to these applications due to their inherent compute-intensive and resource-constrained nature. One of the foremost challenges in cloud and edge resource allocation is the efficient management of computation and communication resources to meet the performance and latency guarantees of the applications. Numerous research studies have been carried out to address this intricate problem. In this paper, the current state-of-the-art resource allocation techniques for the cloud continuum, in particular those that consider time-sensitive applications, are reviewed. Furthermore, we present the key challenges in the resource allocation problem for the cloud continuum, a taxonomy to classify the existing literature and the potential research gaps.

scholarly journals Shaping the Video Conferences of Tomorrow With AI

2020 ◽  
Author(s):  
Paulo Renato C. Mendes ◽  
Eduardo S. Vieira ◽  
Pedro Vinicius A. de Freitas ◽  
Antonio José G. Busson ◽  
Álan Lívio V. Guedes ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Video Conferencing ◽  
Leisure Activities ◽  
The Internet ◽  
Video Classification ◽  
Home Office ◽  
Current State ◽  
The Social ◽  
Future Vision

Before the COVID-19 pandemic, video was already one of the main media used on the internet. During the pandemic, video conferencing services became even more important, coming to be one of the main instruments to enable most social and professional human activities. Given the social distancing policies, people are spending more time using these online services for working, learning, and also for leisure activities. Videoconferencing software became the standard communication for home-office and remote learning. Nevertheless, there are still a lot of issues to be addressed on these platforms, and many different aspects to be reexamined or investigated, such as ethical and user-experience issues, just to name a few. We argue that many of the current state-of-the-art techniques of Artificial Intelligence (AI) may help on enhancing video collabo- ration services, particularly the methods based on Deep Learning such as face and sentiment analyses, and video classification. In this paper, we present a future vision about how AI techniques may contribute to this upcoming videoconferencing-age.

scholarly journals Generate, Segment, and Refine: Towards Generic Manipulation Segmentation

2020 ◽  
Vol 34 (07) ◽  
pp. 13058-13065 ◽  
Author(s):  
Peng Zhou ◽  
Bor-Chun Chen ◽  
Xintong Han ◽  
Mahyar Najibi ◽  
Abhinav Shrivastava ◽  
...  
Keyword(s):  
State Of The Art ◽  
Training Data ◽  
The Internet ◽  
Generation Process ◽  
Image Generation ◽  
Image Sharing ◽  
Current State ◽  
Photo Editing ◽  
Traditional Work ◽  
False News

Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being shared on the internet. While the intent behind such manipulations varies widely, concerns on the spread of false news and misinformation is growing. Current state of the art methods for detecting these manipulated images suffers from the lack of training data due to the laborious labeling process. We address this problem in this paper, for which we introduce a manipulated image generation process that creates true positives using currently available datasets. Drawing from traditional work on image blending, we propose a novel generator for creating such examples. In addition, we also propose to further create examples that force the algorithm to focus on boundary artifacts during training. Strong experimental results validate our proposal.

scholarly journals Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Aya Sedky Adly ◽  
Afnan Sedky Adly ◽  
Mahmoud Sedky Adly
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Resource Allocation ◽  
Modeling And Simulation ◽  
Large Scale ◽  
Information Gathering ◽  
The Internet ◽  
Experimental Therapies ◽  
Computer Scientists ◽  
And Control

BACKGROUND Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are promising technologies to prevent the concerningly rapid spread of coronavirus disease (COVID-19) and to maximize safety during the pandemic. With the exponential increase in the number of COVID-19 patients, it is highly possible that physicians and health care workers will not be able to treat all cases. Thus, computer scientists can contribute to the fight against COVID-19 by introducing more intelligent solutions to achieve rapid control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the disease. OBJECTIVE The objectives of this review were to analyze the current literature, discuss the applicability of reported ideas for using AI to prevent and control COVID-19, and build a comprehensive view of how current systems may be useful in particular areas. This may be of great help to many health care administrators, computer scientists, and policy makers worldwide. METHODS We conducted an electronic search of articles in the MEDLINE, Google Scholar, Embase, and Web of Knowledge databases to formulate a comprehensive review that summarizes different categories of the most recently reported AI-based approaches to prevent and control the spread of COVID-19. RESULTS Our search identified the 10 most recent AI approaches that were suggested to provide the best solutions for maximizing safety and preventing the spread of COVID-19. These approaches included detection of suspected cases, large-scale screening, monitoring, interactions with experimental therapies, pneumonia screening, use of the IIoT for data and information gathering and integration, resource allocation, predictions, modeling and simulation, and robotics for medical quarantine. CONCLUSIONS We found few or almost no studies regarding the use of AI to examine COVID-19 interactions with experimental therapies, the use of AI for resource allocation to COVID-19 patients, or the use of AI and the IIoT for COVID-19 data and information gathering/integration. Moreover, the adoption of other approaches, including use of AI for COVID-19 prediction, use of AI for COVID-19 modeling and simulation, and use of AI robotics for medical quarantine, should be further emphasized by researchers because these important approaches lack sufficient numbers of studies. Therefore, we recommend that computer scientists focus on these approaches, which are still not being adequately addressed.

scholarly journals Precision Agriculture Technology: A Literature Review

2020 ◽  
pp. 30-34
Author(s):  
C. A. Danbaki ◽  
N. C. Onyemachi ◽  
D. S. M. Gado ◽  
G. S. Mohammed ◽  
D. Agbenu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Precision Agriculture ◽  
State Of The Art ◽  
Irrigation Management ◽  
Conventional Farming ◽  
Livestock Farming ◽  
Current State ◽  
Art Methods ◽  
Increase In Productivity

This study is a survey on state-of-the-art methods based on artificial intelligence and image processing for precision agriculture on Crop Management, Pest and Disease Management, Soil and Irrigation Management, Livestock Farming and the challenges it presents. Precision agriculture (PA) described as applying current technologies into conventional farming methods. These methods have proved to be highly efficient, sustainable and profitable to the farmer hence boosting the economy. This study is a survey on the current state of the art methods applied to precision agriculture. The application of precision agriculture is expected to yield an increase in productivity which ultimately ends in profit to the farmer, to the society increase sustainability and also improve the economy.

scholarly journals A Literature Review of Online Identity Reconstruction

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiao Huang ◽  
Sameer Kumar ◽  
Chuan Hu
Keyword(s):  
Literature Review ◽  
The Internet ◽  
Review Of Literature ◽  
Online Identity ◽  
Relevant Research ◽  
Research Gaps ◽  
Future Studies ◽  
Current State ◽  
Identity Reconstruction

The tremendous development of the Internet enables people to present themselves freely. Some people may reconstruct their identity on the Internet to build an online identity that is partly or even completely different from their real identity in the offline world. Given that research on online identity reconstruction is fragmented, it is important to evaluate the current state of the literature. In this paper, a review of literature related to online identity reconstruction was conducted. This study summarized the theoretical and methodological preferences of relevant research. In addition, it elaborated why and how people engage in online identity reconstruction. The predictors and effects of online identity reconstruction were also discussed. The results of this study provided an overview of the thematic patterns of existing research. This review also identified current research gaps and recommended possible directions for future studies.

A Pragmatic Approach to Intrusion Response Metrics

2012 ◽  
pp. 1-22
Author(s):  
Chris Strasburg ◽  
Johnny Wong
Keyword(s):  
State Of The Art ◽  
Arms Race ◽  
Current Work ◽  
Diverse Population ◽  
Pragmatic Approach ◽  
Research Gaps ◽  
Intrusion Response ◽  
Current State ◽  
Production Environments ◽  
Response Capability

The arms race between cyber attackers and defenders has evolved to the point where an effective counter-measure strategy requires the use of an automated, distributed, and coordinated response. A key difficulty in achieving this goal lies in providing reliable measures by which to select appropriate responses to a wide variety of potential intrusions in a diverse population of network environments. In this chapter, the authors provide an analysis of the current state of automated intrusion response metrics from a pragmatic perspective. This analysis includes a review of the current state of the art as well as descriptions of the steps required to implement current work in production environments. The authors also discuss the research gaps that must be filled to improve security professionals’ ability to implement an automated intrusion response capability.

Report from the 2nd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '20)

2021 ◽  
Vol 46 (2) ◽  
pp. 28-29
Author(s):  
Benoît Vanderose ◽  
Julie Henry ◽  
Benoît Frénay ◽  
Xavier Devroey
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Engineering Education ◽  
State Of The Art ◽  
Future Directions ◽  
The Past ◽  
Software Engineering Education ◽  
Current State ◽  
Amount Of Knowledge ◽  
Software Engineering Tools

In the past years, with the development and widespread of digi- tal technologies, everyday life has been profoundly transformed. The general public, as well as specialized audiences, have to face an ever-increasing amount of knowledge and learn new abilities. The EASEAI workshop series addresses that challenge by look- ing at software engineering, education, and arti cial intelligence research elds to explore how they can be combined. Speci cally, this workshop brings together researchers, teachers, and practi- tioners who use advanced software engineering tools and arti cial intelligence techniques in the education eld and through a trans- generational and transdisciplinary range of students to discuss the current state of the art and practices, and establish new future directions. More information at https://easeai.github.io.

scholarly journals Strategic development of scientific and technical potential of industry during the digital transformation of economy

2021 ◽  
Vol 14 (4) ◽  
pp. 410-417
Author(s):  
T. O. Tolstykh ◽  
S. E. Afonin
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
The Internet ◽  
Strategic Development ◽  
Industrial Enterprises ◽  
Current State ◽  
Technical Potential ◽  
The World ◽  
The Internet Of Things

Currently the speeding up of digital transformation makes it obvious that application of digital technologies and the degree of involvement into digital transformation is an essential and significant aspect of scientific and technical potential of an industrial enterprise. The article is devoted to the analysis of trends and prospects of development of basic technologies which are the basis for digital transformation of the world economics: the Internet of things, artificial intelligence, robotization and technologies of the big data processing. The authors present the assessment of the current state of digitalization for Russian industrial enterprises by analyzing the data on the implementation of the above mentioned technologies in business-process.

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