scholarly journals Special Feature on Advanced Mobile Robotics

2019 ◽  
Vol 9 (21) ◽  
pp. 4686
Author(s):  
DaeEun Kim
Keyword(s):  
Artificial Intelligence ◽  
Mobile Robots ◽  
Computer Science ◽  
Cognitive Science ◽  
Mechanical Engineering ◽  
Mobile Robotics ◽  
Electrical Engineering ◽  
Research Fields

Mobile robots and their applications are involved with many research fields including electrical engineering, mechanical engineering, computer science, artificial intelligence and cognitive science [...]

Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation1

2021 ◽  
Author(s):  
Tarek R. Besold ◽  
Artur d’Avila Garcez ◽  
Sebastian Bader ◽  
Howard Bowman ◽  
Pedro Domingos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Cognitive Science ◽  
Symbolic Computation ◽  
Software Verification ◽  
Science Research ◽  
Symbolic Learning ◽  
Computer Science Research ◽  
Science Philosophy ◽  
Computational Systems

The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive science, philosophy, psychology, and several other areas. Presupposing cognition as basis of behaviour, among the most prominent tools in the modelling of behaviour are computational-logic systems, connectionist models of cognition, and models of uncertainty. Recent studies in cognitive science, artificial intelligence, and psychology have produced a number of cognitive models of reasoning, learning, and language that are underpinned by computation. In addition, efforts in computer science research have led to the development of cognitive computational systems integrating machine learning and automated reasoning. Such systems have shown promise in a range of applications, including computational biology, fault diagnosis, training and assessment in simulators, and software verification. This joint survey reviews the personal ideas and views of several researchers on neural-symbolic learning and reasoning. The article is organised in three parts: Firstly, we frame the scope and goals of neural-symbolic computation and have a look at the theoretical foundations. We then proceed to describe the realisations of neural-symbolic computation, systems, and applications. Finally we present the challenges facing the area and avenues for further research.

scholarly journals THE EXPERIENCE OF CIVIL ENGINEERING SPECIALISTS WITH HIGH QUALIFICATION AT BIALYSTOK UNIVERSITY OF TECHNOLOGY

2018 ◽  
Vol 1 (50) ◽  
pp. 292-300
Author(s):  
M. P. Nesterenko ◽  
О. А. Dubrovskyi ◽  
А. S. Kaiurin
Keyword(s):  
Computer Science ◽  
Learning Process ◽  
Mechanical Engineering ◽  
Civil Engineering ◽  
Electrical Engineering ◽  
Engineering Management ◽  
Environmental Engineering ◽  
Methods Comparison ◽  
University Of Technology

This article shows the learning process of students-engineers in Poland, disciplines which were learning and the projects which were submitted. It also describes what the elements university consists of – library, main departments: architectural, civil and environmental engineering, electrical engineering, computer science, mechanical engineering, management, forestry, amount of students and teachers. The article marks studying process features and courses and subjects content. The main principles of teaching were set out. They were provided with using of the shown information variety methods. Comparison of education processes in Ukraine and in Poland is highlighted in the article.

scholarly journals Search and Rescue Algorithm using a Cooperative Robot System

2020 ◽  
Vol 9 (3) ◽  
pp. 943-947
Keyword(s):  
Artificial Intelligence ◽  
Wireless Communication ◽  
Computer Science ◽  
Electrical Engineering ◽  
Search And Rescue ◽  
Multiple Robots ◽  
Cooperative Robots ◽  
Cooperative Robotics ◽  
Robot System ◽  
Share Data

Cooperative robotics is very different from working on a single robot before. Cooperative robots can perform tasks that were previously impossible with a single robot. This robot research can be applied in computer science, artificial intelligence, and electrical engineering. This research aims to deal with tasks that are difficult or impossible to perform with a single robot. For this purpose, we propose a Se-Re (Search-and-Rescue) algorithm. In addition, the proposed algorithm is designed to allow multiple robots to collaborate in the area of work. Robots use wireless communication to collaborate and are organized in groups, which create environmental maps and share data with each other. The robot uses the shared area map to create a global map. Using this information, the robot does not revisit the previously visited area. The proposed algorithm can be applied both indoors and outdoors. Indoors can be used in general buildings as well as livestock housing, and outdoors can be used for landmine removal, human search, and rescue.

scholarly journals Corpus-based analysis of semi-automatically extracted artificial intelligence-related terminology

2021 ◽  
Vol 9 (1) ◽  
pp. 30-38
Author(s):  
Jurgita Mikelionienė ◽  
Jurgita Motiejūnienė
Keyword(s):  
Artificial Intelligence ◽  
Natural Language ◽  
Computer Science ◽  
Cognitive Science ◽  
Weather Forecasting ◽  
Technical Documentation ◽  
Term Extraction ◽  
Automated Processing ◽  
Automatic Term Extraction ◽  
Empiric Data

Abstract Artificial Intelligence (AI), as a multidisciplinary field, combines computer science, robotics and cognitive science, with increasingly growing applications in many diverse areas, such as engineering, business, medicine, weather forecasting, industry, translation, natural language, linguistics, etc. In Europe, interest in AI has been rising in the last decade. One of the greatest hurdles for researchers in automated processing of technical documentation is large amounts of specific terminology. The aim of this research is to analyse the semi-automatically extracted artificial intelligence-related terminology and the most common phrases related to artificial intelligence in English and Lithuanian in terms of their structure, multidisciplinarity and connotation. For selection and analysis of terms, two programmes were chosen in this study, namely SynchroTerm and SketchEngine. The paper presents the outcomes of an AI terminological project carried out with SynchroTerm and provides an analysis of a special corpus compiled in the field of artificial intelligence using the SketchEngine platform. The analysis of semi-automatic term extraction use and corpus-based techniques for artificial intelligence-related terminology revealed that AI as a specialized domain contains multidisciplinary terminology, and is complex and dynamic. The empiric data shows that the context is essential for the evaluation of the concept under analysis and reveals the different connotation of the term.

scholarly journals Preface

2021 ◽  
Vol 2143 (1) ◽  
pp. 011001
Keyword(s):  
Mechanical Engineering ◽  
Electrical Engineering ◽  
Engineering Application ◽  
Video Conference ◽  
Computer Engineering ◽  
Editorial Committee ◽  
International Conference ◽  
Continuous Innovation ◽  
Research Fields ◽  
Opening Ceremony

2021 2nd International Conference on Mechanical Automation and Computer Engineering Youqiang Xing1,Tianhua Jiang2 1Department of Mechanical Engineering, Southeast University, China 2School of Information and Electrical Engineering, Ludong University, China E-mail: [email protected], [email protected] 2021 2nd International Conference on Mechanical Automation and Computer Engineering were successfully held online from 26th to 28th October 2021, Nanchang, Jiangxi, China. The conference was jointly organized and sponsored by Shaanxi Juxing Exhibition Co., Ltd and Juneng Electronic Technology Co., Ltd. Called by Dr. Youqiang Xing from Department of Mechanical Engineering, Southeast University and researcher Tianhua Jiang from the School of Information and Electrical Engineering, Ludong University, the conference invited scholars and experts in the fields of Mechanical Automation and Computer Engineering from various universities to participate in the review and guidance of this conference. The conference focuses on the latest research fields such as “Mechanical Automation” and “Computer Engineering”, and aims to provide an international cooperation and exchange platform for experts, scholars and business managers in the fields of Mechanical Automation and Computer Engineering application to share their research achievements, discuss the key challenges and research directions of the development of this field, and jointly promote the industrialization cooperation and continuous innovation of international academic achievements. This collection of Proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the Special Committee. The conference was scheduled to be held on October 26-28, 2021 at Hampton by Hilton Nanchang Honggutan Hotel, Nanchang, Jiangxi, China. In view of travel restrictions and indoor activities related to COVID-19, we were forced to move the conference online. Attendees were notified one month in advance that the on-site conference was changed to an online conference, and the time and order of the conference were determined. The online conference was held on the video conferencing software Tencent Meeting. The video conference was held on the original date, but due to the large number of attendees, we extended the meeting for 3 days. Due to the wide coverage of this conference and the large number of attendees, we divided the conference into main venue and sub-venue. The opening ceremony was held in the main venue and a speech was delivered by the invited speaker. After the main venue, we divided the invited 63 authors into 2 groups. Each author spoke for about 10-15 minutes on detailed material in the slides, with the same amount of time set aside for questions and discussion. The format of questioning and discussion was that after each author’s introduction, the conference chairman and committee members asked and answered questions. At least one attendee could ask questions that will be answered by the speaker. This conference has brought together many excellent works and the latest ideas and concepts. New ideas have been provided in the fields of information technology and mechanical engineering applications. For this, we have set up three awards, which were won by six authors. Due to the large number of attendees and the instability of the video conference software, we edited and retained part of the conference speech pictures and videos after the video conference. We put some screenshots of the conference on the official website for display. List of Organizing Committee, Scientific Committee, Editorial Committee, Invited Speakers, Organizing Institutions are available in this pdf.

scholarly journals Information Economics Aspires

2019 ◽  
pp. 1-13
Author(s):  
Durad Cerk
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Cognitive Science ◽  
Information Science ◽  
Information Economics ◽  
Library And Information Science ◽  
Economics Of Information ◽  
Communication Engineering ◽  
Information Research

Researchers in the economics of information come from a variety of disciplines. While most economics of information research appears in economics and in the library and information science, Machlup and Mansfield in The Economics of Information: Interdisciplinary Messages note contributions from other fields including psychology, sociology, linguistics, communication, engineering, computer science, cognitive science, artificial intelligence, and cybernetics. In this article, some important issues will distinctly be represented. Thus anybody can know about information economics and many data.

scholarly journals Representations, Affordances, and Interactive Systems

2021 ◽  
Vol 5 (5) ◽  
pp. 23
Author(s):  
Robert Rowe
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Data Structures ◽  
Digital Computer ◽  
Mental Representations ◽  
Interactive Systems ◽  
Algorithmic Composition ◽  
The World ◽  
History Of

The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program itself. Parallel histories in cognitive science and artificial intelligence have (of necessity) confronted their own notions of representations, including the ecological perception view of J.J. Gibson, who claims that mental representations are redundant to the affordances apparent in the world, its objects, and their relations. This review tracks these parallel histories and how the orientations and designs of multimodal interactive systems give rise to their own affordances: the representations and models used expose parameters and controls to a creator that determine how a system can be used and, thus, what it can mean.

The Pransky interview: Dr Yoky Matsuoka, Vice President Technology, Nest Labs

2014 ◽  
Vol 41 (6) ◽  
pp. 481-486
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Mechanical Engineering ◽  
Academic Career ◽  
Industrial Robot ◽  
Vice President ◽  
Early Career ◽  
Smoke Detector ◽  
Foundation Engineering ◽  
Content Type ◽  
The University

Purpose – This article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach – The interviewee is Dr Yoky Matsuoka, the Vice President of Nest Labs. Matsuoka describes her career journey that led her from a semi-professional tennis player who wanted to build a robot tennis buddy, to a pioneer of neurobotics who then applied her multidisciplinary research in academia to the development of a mass-produced intelligent home automation device. Findings – Dr Matsuoka received a BS degree from the University of California, Berkeley and an MS and PhD in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT). She was also a Postdoctoral Fellow in the Brain and Cognitive Sciences at MIT and in Mechanical Engineering at Harvard University. Dr Matsuoka was formerly the Torode Family Endowed Career Development Professor of Computer Science and Engineering at the University of Washington (UW), Director of the National Science Foundation Engineering Research Center for Sensorimotor Neural Engineering and Ana Loomis McCandless Professor of Robotics and Mechanical Engineering at Carnegie Mellon University. In 2010, she joined Google X as one of its three founding members. She then joined Nest as VP of Technology. Originality/value – Dr Matsuoka built advanced robotic prosthetic devices and designed complementary rehabilitation strategies that enhanced the mobility of people with manipulation disabilities. Her novel work has made significant scientific and engineering contributions in the combined fields of mechanical engineering, neuroscience, bioengineering, robotics and computer science. Dr Matsuoka was awarded a MacArthur Fellowship in which she used the Genius Award money to establish a nonprofit corporation, YokyWorks, to continue developing engineering solutions for humans with physical disabilities. Other awards include the Emerging Inventor of the Year, UW Medicine; IEEE Robotics and Automation Society Early Academic Career Award; Presidential Early Career Award for Scientists and Engineers; and numerous others. She leads the development of the learning and control technology for the Nest smoke detector and Thermostat, which has saved the USA hundreds of billions of dollars in energy expenses. Nest was sold to Google in 2013 for a record $3.2 billion dollars in cash.

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