scholarly journals Future Vision of Interactive and Intelligent TV Systems using Edge AI

2020 ◽  
Vol 2020 (6) ◽  
pp. 51-55
Author(s):  
Álan Guedes ◽  
Antonio Busson ◽  
João Paulo Navarro ◽  
Sérgio Colcher
Keyword(s):  
Artificial Intelligence ◽  
Cost Reduction ◽  
Production Efficiency ◽  
Future Application ◽  
Strong Indication ◽  
Application Layer ◽  
Practical Applications ◽  
Low Level ◽  
Network Layers ◽  
Future Vision

Recently the Brazilian DTV system standards have been upgraded, called TV 2.5, in order to provide a better integration between broadcast and broadband services. The next Brazilian DTV system evolution, called TV 3.0, will address more deeply this convergence of TV systems not only at low-level network layers but also at the application layer. One of the new features to be addressed by this future application layer is the use of Artificial Intelligence technologies. Recently, there have been practical applications using Artificial Intelligence (AI) deployed to improve TV production efficiency and correlated cost reduction. The success in operationalize and evaluate these applications is a strong indication of the interest and relevance of AI in TV. This paper presents TeleMídia Lab’s future vision on interactive and intelligent TV Systems, with particular focus on edge AI. Edge AI means use in-device capabilities to run AI applications instead of running them in cloud.

Equation of state for the detonation products of energetic materials

2021 ◽  
Vol 11 (8) ◽  
pp. 1269-1287
Author(s):  
Xiangyu Huo ◽  
Li Zhang ◽  
Mingli Yang
Keyword(s):  
Artificial Intelligence ◽  
High Pressure ◽  
Computer Simulations ◽  
Energetic Materials ◽  
Equations Of State ◽  
Experiment Study ◽  
Detonation Products ◽  
Main Approach ◽  
Practical Applications ◽  
Integrated Theory

Energetic materials (EMs) are one of the necessities in many military and civilian applications. Measuring the thermodynamic behaviors of detonation products of EMs at high temperature and high pressure, their equations of state (EOSs) not only serve as a basis in the design of novel materials, but also provide valuable information for their practical applications. The EOS study has a long history, but keeps moving all the time. Various EMs have been developed, the EOS of detonation products provides abundant information in the thermochemistry, hydromechanics and detonation physics, which in turn feedbacks the development of novel EMs and their EOSs. With the development of experimental techniques and computer simulations, many EOSs have been proposed for various explosives in recent years. While experiments keep their fundamental roles, integrated theory-experiment study has become the main approach to the EOS establishment for novel EMs. Moreover, computer simulations based on interatomic and/or intermolecular interaction will have great potential in the future when big data and artificial intelligence are introduced into the field.

The Practical Applications of Artificial Intelligence and the Future of ViEW

2021 ◽  
Vol 87 (10) ◽  
pp. 783-786
Author(s):  
Kunihito KATO ◽  
Masashi NISHIYAMA ◽  
Ryosuke KAWANISHI ◽  
Hirokatsu KATAOKA
Keyword(s):  
Artificial Intelligence ◽  
Practical Applications ◽  
The Future

scholarly journals The future application of artificial intelligence to pathology diagnosis

2018 ◽  
Vol 29 ◽  
pp. vii1
Author(s):  
Junya Fukuoka ◽  
Kishio Kuroda ◽  
Tomoi Furukawa ◽  
Tomoya Oguri
Keyword(s):  
Artificial Intelligence ◽  
Future Application ◽  
The Future

Strengthening and Enriching Audit Practice

2012 ◽  
pp. 97-108
Author(s):  
Peter A. C. Smith
Keyword(s):  
Real World ◽  
Theory And Practice ◽  
Network Visualization ◽  
Viable System Model ◽  
Practical Applications ◽  
Visualization Analysis ◽  
The Past ◽  
Network Layers ◽  
The Face ◽  
Viable System

The audit profession has been facing reassessment and repositioning for the past decade. Enquiry has been an integral part of an audit; however, its reliability as a source of audit evidence is questioned. To legitimize enquiry in the face of audit complexity and ensure sufficiency, relevance, and reliability, the introduction of Stafford Beer’s Viable System Model (VSM) into theory and practice has been recommended by a number of authors. In this paper, a variant on previous VSM-based audit work is introduced to perfect auditing assessment of accountability and compliance. This variant is termed the “VSM/NVA variant” and is applicable when the VSM model is in use for an audit. This variant is based on application of Network Visualization Analysis (NVA) to a VSM-modeled organization. Using NVA, “decision leaders” can be identified and their socio-technical relevance to VSM systems explored. This paper shows how the concepts of decision leaders and their networks can enrich and clarify practical applications of audit theory and practice. The approach provides an enhanced real-world understanding of how various VSM systems and network layers of an organization coalesce, and how they relate to the aims of the VSM model at micro and macro levels.

Opportunities and Challenges of Adopting Artificial Intelligence for Learning and Teaching in Higher Education

2021 ◽  
pp. 67-78
Author(s):  
Aniekan Essien ◽  
Godwin Chukwukelu ◽  
Victor Essien
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Emerging Technologies ◽  
Higher Education Institutions ◽  
Practical Applications ◽  
Learning And Teaching ◽  
Teaching In Higher Education

This chapter provides a sense of what artificial intelligence is, its benefits, and integration to higher education. Seeing through the lens of the literature, this chapter will also explore the emergence of artificial intelligence and its attendant use for learning and teaching in higher education institutions. It begins with an overview of artificial intelligence and proceeds to discuss practical applications of emerging technologies and artificial intelligence on the manner in which students learn as well as how higher education institutions teach and develop. The chapter concludes with a discussion on the challenges of artificial intelligence on higher education.

Essential Features and Critical Issues With Educational Chatbots

2021 ◽  
pp. 246-262
Author(s):  
Jeremy Riel
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Formal Learning ◽  
Automated Systems ◽  
Conversational Agents ◽  
Teacher Instruction ◽  
Practical Applications ◽  
Significant Potential ◽  
Critical Issues ◽  
Future Work

Conversational agents, also known as chatbots, are automated systems for engaging in two-way dialogue with human users. These systems have existed in one form or another for at least 60 years but have recently demonstrated significant potential with advances in machine learning and artificial intelligence technologies. The use of conversational agents or chatbots for education can potentially reduce costs and supplement teacher instruction in transformative ways for formal learning. This chapter examines the design and status of chatbots and conversational agents for educational purposes. Common design functions and goals of educational chatbots are described, along with current practical applications of chatbots for educational purposes. Finally, this chapter considers issues about pedagogical commitments, ethics, and equity to suggest future work in the field.

scholarly journals Security in IoMT Communications: A Survey

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4828 ◽  
Author(s):  
Dimitris Koutras ◽  
George Stergiopoulos ◽  
Thomas Dasaklis ◽  
Panayiotis Kotzanikolaou ◽  
Dimitris Glynos ◽  
...  
Keyword(s):  
Medical Devices ◽  
Patient Monitoring ◽  
Communication Protocols ◽  
Communication Technologies ◽  
Healthcare Services ◽  
Remote Patient Monitoring ◽  
Application Layer ◽  
Network Layers ◽  
Remote Patient ◽  
Implementation Gaps

The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity of critical medical devices with other systems in various network layers creates new opportunities for remote adversaries. Since most of the communication protocols have not been specifically designed for the needs of connected medical devices, there is a need to classify the available IoT communication technologies in terms of security. In this paper we classify IoT communication protocols, with respect to their application in IoMT. Then we describe the main characteristics of IoT communication protocols used at the perception, network and application layer of medical devices. We examine the inherent security characteristics and limitations of IoMT-specific communication protocols. Based on realistic attacks we identify available mitigation controls that may be applied to secure IoMT communications, as well as existing research and implementation gaps.

An Analysis Model and its Practical Applications in PG&E Gas Transmission Pipeline Strength Test Projects

2018 ◽  
Author(s):  
Chunlei He ◽  
Edward Stracke
Keyword(s):  
Critical Role ◽  
Ideal Gas ◽  
Strength Test ◽  
Future Application ◽  
Test Duration ◽  
Test Medium ◽  
Analysis Model ◽  
Practical Applications ◽  
Pipeline Section ◽  
Strength Tests

This article presents a complete set of calculations (referred to as Model) PG&E developed to monitor, assess and approve strength tests on insitu (pipelines currently in service) gas transmission pipelines. How the Model is used in the field, 2017 test results, and process improvements that resulted from the implementation of the model are also discussed. In compliance with CPUC directives, the Code of Federal Regulations[1] and PG&E’s internal standards, PGE has performed strength tests on approximately 1,100 miles of insitu pipelines from 2011 through 2017. The model was specifically designed to assess the strength test of a closed section of gas pipeline for both leaks and ruptures. The model was originally designed for strength tests using water as the test medium and updated to accommodate nitrogen as a test medium. A future enhancement will be to incorporate a blend of Nitrogen and Helium as the test medium. The model plots the pressure-temperature and pressure-volume curves over the test duration (field test measurements) and compares them to the theoretically calculated curves. The curves are used to determine if the change in pressure is due to temperature influence or leakage. When water is the test medium, the model calculates the net corrected medium volume change from start to end of the static test period. When nitrogen is the test medium, the model calculates and analyzes net mass change of the medium by considering nitrogen under both the real gas state and the ideal gas state. By calculating restrained (buried) pipeline section and unrestrained (exposed) pipeline section separately, the model gains more accuracy. Accurate temperature measurements play a critical role in the model. The model makes it possible for engineers to monitor, analyze and direct strength tests with real-time test data. The model is also used to evaluate the pipeline fill condition on the day prior to the actual test, which resulted in fewer test restarts due to incomplete fill or temperature stabilization issues. An additional benefit is the tests were typically completed earlier in the day. The model is utilized on all PG&E insitu pipeline strength projects today. Authors also provide improvement suggestions of this model in future application.

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