scholarly journals Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty

2021 ◽  
Vol 2 ◽  
Author(s):  
Karin Blank ◽  
Liang-Kang Huang ◽  
Jay Herman ◽  
Alexander Marshak
Keyword(s):  
Artificial Intelligence ◽  
Point Of View ◽  
Star Tracker ◽  
Unique Point ◽  
Lagrange Point ◽  
Imaging Camera

Earth Polychromatic Imaging Camera occupies a unique point of view for an Earth imager by being located approximately 1.5 million km from the planet at Earth-Sun Lagrange point, L1. This creates a number of unique challenges in geolocation, some of which are distance and mission specific. To solve these problems, algorithmic adaptations need to be made for calculations used for standard geolocation solutions, as well as artificial intelligence-based corrections for star tracker attitude and optical issues. This paper discusses methods for resolving these issues and bringing the geolocation solution to within requirements.

scholarly journals Formalization of the meaning. Part 2. Space of contexts

2021 ◽  
Vol 11 (3) ◽  
pp. 309-319
Author(s):  
A.D. Redozubov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Characteristic Feature ◽  
Original Description ◽  
Point Of View ◽  
Previous Experience ◽  
Unique Point ◽  
Strong Artificial Intelligence ◽  
Significant Difference ◽  
Incoming Information ◽  
Points Of View

In the first part of the article, it was shown that there is a significant difference between the concepts given through definitions described by sets of features, and those concepts that a person operates and behind which there is an idea of meaning. It has been suggested that this is the key point in differentiating the concept of traditional artificial intelligence and strong artificial intelligence. It was proposed to use related points of view, which can be described by appropriate contexts, to formalize natural concepts. This part of the article provides a formalization of the context as a unique point of view. With the context the original description acquires interpretation, its characteristic feature for this context. The use of previous experience allows us to check the adequacy of the received interpretation. By comparing the concepts used with their contexts, it is possible to obtain a space of contexts that is able to search for potentially possible mean-ings in the incoming information. The use of the context space allowed us to describe the mechanism for transferring experience from one context to another. Based on the contextual transfer, an explanation of the phenomenon of creativi-ty and a description of its nature are given.

Innovative Marketing Strategies for Select E-Commerce Companies in India - A Review.

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Amit Kumar Bhanja ◽  
P.C Tripathy
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Business Environment ◽  
Marketing Strategies ◽  
Point Of View ◽  
Digital Marketing ◽  
Customer Base ◽  
Innovative Methods ◽  
Online Shoppers ◽  
Drastic Increase

Innovation is the key to opportunities and growth in today’s competitive and dynamic business environment. It not only nurtures but also provides companies with unique dimensions for constant reinvention of the existing way of performance which enables and facilitates them to reach out to their prospective customers more effectively. It has been estimated by Morgan Stanley that India would have 480 million shoppers buying products online by the year 2026, a drastic increase from 60 million online shoppers in the year 2016. E-commerce companies are aggressively implementing innovative methods of marketing their product offerings using tools like digital marketing, internet of things (IoT)and artificial intelligence to name a few. This paper focuses on outlining the innovative ways of marketing that the E-Commerce sector implements in orders to increase their customer base and aims at determining the future scope of this area. A conceptual comparative study of Amazon and Flipkart helps to determine which marketing strategies are more appealing and beneficial for both the customers and companies point of view.

scholarly journals Lessons from the COVID-19 Pandemic on the Use of Artificial Intelligence in Digital Radiology: The Submission of a Survey to Investigate the Opinion of Insiders

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 331
Author(s):  
Daniele Giansanti ◽  
Ivano Rossi ◽  
Lisa Monoscalco
Keyword(s):  
Artificial Intelligence ◽  
General Purpose ◽  
Point Of View ◽  
General Point ◽  
Thoracic Radiography ◽  
Digital Radiology ◽  
Electronic Survey ◽  
Radiology Technicians ◽  
Medical Radiology ◽  
Great Development

The development of artificial intelligence (AI) during the COVID-19 pandemic is there for all to see, and has undoubtedly mainly concerned the activities of digital radiology. Nevertheless, the strong perception in the research and clinical application environment is that AI in radiology is like a hammer in search of a nail. Notable developments and opportunities do not seem to be combined, now, in the time of the COVID-19 pandemic, with a stable, effective, and concrete use in clinical routine; the use of AI often seems limited to use in research applications. This study considers the future perceived integration of AI with digital radiology after the COVID-19 pandemic and proposes a methodology that, by means of a wide interaction of the involved actors, allows a positioning exercise for acceptance evaluation using a general purpose electronic survey. The methodology was tested on a first category of professionals, the medical radiology technicians (MRT), and allowed to (i) collect their impressions on the issue in a structured way, and (ii) collect their suggestions and their comments in order to create a specific tool for this professional figure to be used in scientific societies. This study is useful for the stakeholders in the field, and yielded several noteworthy observations, among them (iii) the perception of great development in thoracic radiography and CT, but a loss of opportunity in integration with non-radiological technologies; (iv) the belief that it is appropriate to invest in training and infrastructure dedicated to AI; and (v) the widespread idea that AI can become a strong complementary tool to human activity. From a general point of view, the study is a clear invitation to face the last yard of AI in digital radiology, a last yard that depends a lot on the opinion and the ability to accept these technologies by the operators of digital radiology.

scholarly journals Human-Centered AI to Support an Adaptive Management of Human-Machine Transitions with Vehicle Automation

Information ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
Thierry Bellet ◽  
Aurélie Banet ◽  
Marie Petiot ◽  
Bertrand Richard ◽  
Joshua Quick
Keyword(s):  
Artificial Intelligence ◽  
Adaptive Management ◽  
Driving Simulator ◽  
End Users ◽  
Point Of View ◽  
Human Centered Design ◽  
Perceived Utility ◽  
New Type ◽  
Future Potential ◽  
Vehicle Automation

This article is about the Human-Centered Design (HCD), development and evaluation of an Artificial Intelligence (AI) algorithm aiming to support an adaptive management of Human-Machine Transition (HMT) between car drivers and vehicle automation. The general principle of this algorithm is to monitor (1) the drivers’ behaviors and (2) the situational criticality to manage in real time the Human-Machine Interactions (HMI). This Human-Centered AI (HCAI) approach was designed from real drivers’ needs, difficulties and errors observed at the wheel of an instrumented car. Then, the HCAI algorithm was integrated into demonstrators of Advanced Driving Aid Systems (ADAS) implemented on a driving simulator (dedicated to highway driving or to urban intersection crossing). Finally, user tests were carried out to support their evaluation from the end-users point of view. Thirty participants were invited to practically experience these ADAS supported by the HCAI algorithm. To increase the scope of this evaluation, driving simulator experiments were implemented among three groups of 10 participants, corresponding to three highly contrasted profiles of end-users, having respectively a positive, neutral or reluctant attitude towards vehicle automation. After having introduced the research context and presented the HCAI algorithm designed to contextually manage HMT with vehicle automation, the main results collected among these three profiles of future potential end users are presented. In brief, main findings confirm the efficiency and the effectiveness of the HCAI algorithm, its benefits regarding drivers’ satisfaction, and the high levels of acceptance, perceived utility, usability and attractiveness of this new type of “adaptive vehicle automation”.

HIGH-PRECISION IN-FLIGHT CALIBRATION USING UNKNOWN LANDMARKS

2021 ◽  
Vol 4 ◽  
pp. 117-124
Author(s):  
Alexander Tkachenko ◽  
Keyword(s):  
Good Accuracy ◽  
Star Tracker ◽  
Coordinate Frame ◽  
Geometric Calibration ◽  
The Earth ◽  
Imaging Camera ◽  
Calibration Accuracy ◽  
Combined Algorithm ◽  
Fuzzy State ◽  
Fuzzy State Observer

An in-flight geometric calibration (further — calibration) is interpreted here as a procedure of making more preceise mutual attitude parameters of the onboard imaging camera and the star tracker. The problem of calibration is solved with using of observations of the landmarks from the orbit. In this work, the landmarks are considered as unknown in the sense that they may be identified on the several snapshots, they may be associated with synchronous data of the star tracker and GPS, but their location in the Earth coordinate frame is unknown. While unknown markers are used, it is more complicated to provide high accuracy of calibration than when geo-referenced markers are observed. In such a situation, improvement of the onboard devices and gauges and increasing of their accuracy strenghtens advisability of agreement of attainable accuracy of calculations while in-flight geometric calibration with accessible measurings accuracy. It concerns properly calibration so as geo-referencing of space snaps using results of calibration. In particular, it is important to consider how accuracy of calibration depends on the accuracy of specific measurings and initial data. Actuality of the considered problem is indisputable. Without its solution, attraction of high-accurate measurings is senseless. A main means of investigation is computer simulanion and analysis of its results. The combined algorithm is proposed for the processing of the calibration measuring equations. It consists of two independent parts. The first one belongs to author of this work and is based on photogrammetric condition of collinearity The second part belongs to D.V. Lebedev and is based on photogrammetric condition of coplanarity. The method of state estimation with high convergence characteristics — fuzzy state observer — is used for resolving of measuring equations. The results of above-mentioned calibration are fully fit for the geo-referencing of the unknown ground objects with acceptable accuracy. Computer simulation had demonsrated good accuracy of the proposed method of the in-flight geometric calibration using unknown landmarks in a combination with high-precise characteristics of used technical means. The simulation had shown the calibration accuracy on the level of 5 arc sec and accuracy of the geo-referencing on the level of 10–20 m. It is fully comparable with accuracy when geo-referenced markers are observated.

Anomalous Behavior of Heterogeneous Materials at Microwaves Frequencies: Introduction to Fractional Derivatives in Electromagnetism

1990 ◽  
Vol 189 ◽  
Author(s):  
F. Heliodore ◽  
D. Cottevieille ◽  
A. Le Mehaute
Keyword(s):  
Electromagnetic Wave ◽  
Physical Meaning ◽  
Fractional Derivatives ◽  
Heterogeneous Media ◽  
Present Note ◽  
Heterogeneous Materials ◽  
Anomalous Behavior ◽  
Point Of View ◽  
Unique Point ◽  
Validity Range

ABSTRACTThe present note introduces new trends in electromagnetic spectroscopy in complex media.When an electromagnetic wave propagates in heterogeneous media, some questions arise about both physical meaning and validity range of the traditional analysis. The aim of our advanced research is related to the generalisation of Maxwell's equations able todescribe both homogeneous and heterogeneous media from an unique point of view.

scholarly journals A ética como um dos desafios da Inteligência Artificial

2020 ◽  
Author(s):  
Edgard Valderramas
Keyword(s):  
Artificial Intelligence ◽  
Social Context ◽  
Rapid Development ◽  
Point Of View

This study deals with issues of ethics and challenges related to its application in the field of Artificial Intelligence. In an analysis of AI in its social context, the impacts that this emerging branch of science can bring and its consequences are examined. From a methodological point of view, the paper deals with ethical assumptions, the cybernetic challenges related to society for its implementation and its adherence with AI citing examples and carrying out some evaluations. In view of the rapid development of this area, the paper emphasizes the growing importance of the debate among the agents involved.

scholarly journals TOPICAL ISSUES OF RESEARCH AND EDUCATIONAL POLICY DEVELOPMENT IN RUSSIA

2020 ◽  
Vol 9 (02) ◽  
pp. 197-211
Author(s):  
Anna Rozentsvaig ◽  
R. A. Vdovin
Keyword(s):  
Artificial Intelligence ◽  
Educational Policy ◽  
Policy Development ◽  
Legal Status ◽  
Technological Development ◽  
Legal Regulation ◽  
Competence Development ◽  
Point Of View ◽  
Research Education ◽  
World Class

The article deals with some directions of the research and educational policy development. The correlation of approaches to the development of the strategic academic leadership program and the world-class research and educational centers establishing, centers of competence development is analyzed. Engineering knowledge and technology are at the heart of the modern economy. Engineering methods, approaches, and technologies have permeated medicine, biology, agriculture, chemistry, and the development of new materials. Understanding the directions of technological development determines the prospects for creating and using new products. further development of the issue related to the introduction of artificial intelligence technologies in the engine-building industry from the point of view of legal regulation will allow to consolidate the official legal status of such technologies at the legal level and regulate the algorithm and delimit the use of artificial intelligence technologies. The analysis of responses to the big challenges of scientific and technological development and the exhaustion of economic growth opportunities, the formation of the digital economy and the risks of reducing human resources. The development of international accreditation procedures is proposed. Keywords: Research; Education: Research and educational center: Competence development center; Artificial intelligence technologies: International accreditation.

scholarly journals The next step for Artificial Intelligence in a globally connected economy

2021 ◽  
Vol 129 ◽  
pp. 04001
Author(s):  
Dumitru Alexandru Bodislav ◽  
Florina Bran ◽  
Carol Cristina Gombos ◽  
Amza Mair
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Factor ◽  
Value Added ◽  
Point Of View ◽  
Business Analytics ◽  
Economic Point ◽  
Technological Breakthrough ◽  
Big Picture ◽  
The Difference

Research background: This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective. Purpose of the article: The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view. Methods: The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development. Findings & Value added: The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.

scholarly journals Perspectiva constitucional de las garantías de aplicación de la Inteligencia Artificial: la ineludible protección de los derechos fundamentales.

2020 ◽  
Vol 6 (2) ◽  
pp. 72-82
Author(s):  
Jorge Castellanos Claramunt ◽  
María Dolores Montero Caro
Keyword(s):  
Artificial Intelligence ◽  
Point Of View ◽  
Fundamental Rights ◽  
Judicial Decisions ◽  
Spanish Constitution ◽  
The Right ◽  
Judicial Protection

Artificial Intelligence has an undeniable effect on today’s society, so its study regarding its legal effects becomes necessary. And consequently, how fundamental rights are affected is of particular importance. Hence, the present paper studies the influence of algorithms in determining judicial decisions, especially from the point of view of how this issue would affect the right to effective judicial protection, recognized as a fundamental right in article 24 of the Spanish Constitution.

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