Special Issue on ISIS 2009, Dong-A University, Busan, Korea

2010 ◽  
Vol 14 (5) ◽  
pp. 549-549
Author(s):  
John-Tark Lee ◽  
Gyei Kark Park
Keyword(s):  
Artificial Intelligence ◽  
International Symposium ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Unscented Kalman Filter ◽  
Fuzzy Theory ◽  
Capacitive Sensor ◽  
Theoretical Work ◽  
Editorial Staff ◽  
Special Issue

The 10th International Symposium on Advanced Intelligent Systems 2009 (ISIS2009) held on August 17-19, 2009, at the Bumin Campus of Dong-A University (http://www.donga.ac.kr/) in Busan, Korea, was sponsored by the Korean Institute of Intelligent System Society (KIIS) and cosponsored technically by the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) and the Taiwanese Association for Artificial Intelligence (TAAI). The international symposium focused on state-of-art accomplishments, innovations, and potential directions in intelligent systems. It also marked an epoch of innovation and the dissemination of research into many interesting fields. Its broad theme covered the latest in technical fields, including artificial intelligence, intelligent systems, Ambient Intelligence (AmI), bioinformatics, information technology, and their wide-ranging applications, from basic theoretical work to practical engineering applications. The 80 featured papers were presented by 120 participants. With so many papers submitted to JACIII, this special issue consists of just two strictly selected papers. The first, deals with emerging research trends in robotics, proposing a new trajectory generation using the univariate Dynamic Encoding Algorithm for Searches (uDEAS) in the turning of a biped walking robot. The second paper, presenting the latest findings in AmI, details a newly designed and implemented robust capacitive sensor with parasitic parameter modeling over a range of high 200 KHz frequencies based on an Unscented Kalman Filter (UKF) algorithm. I would like to thank Mr. Kunihiko Uchida, Mr. Shinya Wakai, Ms. Reiko Ohta, and Mr. Shinji Isokawa as editorial staff of Fuji Technology Press for editing these complex manuscripts into their final form. And I really thank to Prof. Kaoru Hirota, Editor-in-Chief of JACIII for inviting me to direct this special issue on ISIS

Selected Papers from iFAN 2010

2011 ◽  
Vol 15 (6) ◽  
pp. 631-631
Author(s):  
Toshio Fukuda ◽  
Yasufumi Takama
Keyword(s):  
International Symposium ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Peer Review Process ◽  
Special Issue ◽  
Land Mine ◽  
History Of ◽  
Land Mine Detection ◽  
20Th Anniversary ◽  
Human Support

The 2010 International Symposium on Intelligent Systems (iFAN2010) was held at Tokyo Metropolitan University, Tokyo, Japan, in September 2010, in conjunction with the 20th anniversary of the 2010 Intelligent System Symposium (FAN2010). These two symposiums provided a fine opportunity for researchers to exchange ideas on basic theories and applications on intelligent systems and iFAN2010 was the first international symposium in the history of the FAN symposium. From more than 200 papers of FAN2010 and iFAN2010, papers of top quality were invited to this special issue. From 17 papers submitted, 13 outstanding papers have been selected for this special issue after fair and peer review process. As these two symposiums covered a wide variety of intelligence-related issues, this special issue also consists of various topics from basic theories such as machine learning, adaptive control, and optimization, to application-oriented studies such as medical image processing, human support systems, and land mine detection. This issue is expected to contribute much to research on intelligent systems. As the Editors of this special issue, we thank the contributors and reviewers for their time and cooperation. We look forward to actively participating to the next FAN2011, to be held at Kobe University, Hyogo, Japan, in September 2011, which we hope will be as successful and fruitful as the 2010 symposium.

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

scholarly journals Latin American perspectives on datafication and artificial intelligence: Traditions, interventions and possibilities

2021 ◽  
Vol 24 (3) ◽  
pp. 1-10
Author(s):  
Emiliano Treré ◽  
Stefania Milan
Keyword(s):  
Artificial Intelligence ◽  
Latin America ◽  
Open Access ◽  
Feminist Theory ◽  
Latin American ◽  
Intelligent Systems ◽  
Building Blocks ◽  
Special Issue ◽  
Introductory Essay ◽  
Multiple Languages

This introductory essay illustrates the context, clarifies the relevance, and outlines the key themes of this Special Issue on “Latin American Perspectives on Datafication and Artificial intelligence”. It starts pointing out that so far, the engagement of Latin American scholarship in the exploration of data technologies and the rise of intelligent systems has been limited. However, it is argued, Latin American traditions in both research and praxis have much to offer to our understanding of the evolution of the information ecosystem. We propose to map different Latin American perspectives on datafication and AI using an analytical matrix structured along two theme lines, that is three building blocks (infrastructure, imaginaries, practices) and three interpretative lenses (decoloniality and race, feminist theory, pluriversal thinking). Then, we reflect on two procedural issues: the need to consider this Special Issue as a conversation-starter, and the importance of having this conversation in multiple languages and in an open access format. We conclude providing an outline of the various contributions of the Special Issue. Authors address algorithms from the south and coloniality, datafication and corruption, data activism, AI and journalism, and platform labor in the context of Latin America and drawing on Latin American theoretical contributions

Ethical Behavior and Legal Regulations in Artificial Intelligence (Part One)

2021 ◽  
pp. 12-26
Author(s):  
Mandy Goram ◽  
Dirk Veiel
Keyword(s):  
Artificial Intelligence ◽  
Ethical Behavior ◽  
Intelligent Systems ◽  
Adaptive System ◽  
Intelligent System ◽  
Legal Regulations ◽  
Legal Requirements

Artificially intelligent systems should make users' lives easier and support them in complex decisions or even make these decisions completely autonomously. However, at the time of writing, the processes and decisions in an intelligent system are usually not transparent for users. They do not know which data are used, for which purpose, and with what consequences. There is simply a lack of transparency, which is important for trust in intelligent systems. Transparency and traceability of decisions is usually subordinated to performance and accuracy in AI development, or sometimes it plays no role at all. In this chapter, the authors describe what intelligent systems are and explain how users can be supported in specific situations using a context-based adaptive system. In this context, the authors describe the challenges and problems of intelligent systems in creating transparency for users and supporting their sovereignty. The authors then show which ethical and legal requirements intelligent systems have to meet and how existing approaches respond to them.

scholarly journals Sensing and Biosensing in the World of Autonomous Machines and Intelligent Systems

2021 ◽  
Vol 2 ◽  
Author(s):  
Osvaldo N. Oliveira ◽  
Maria Cristina F. Oliveira
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Train Station ◽  
The World ◽  
Autonomous Machines

In this paper we discuss how nanotech-based sensors and biosensors are providing the data for autonomous machines and intelligent systems, using two metaphors to exemplify the convergence between nanotechnology and artificial intelligence (AI). These are related to sensors to mimic the five human senses, and integration of data from varied sources and natures into an intelligent system to manage autonomous services, as in a train station.

Selected Papers from SCIS & ISIS 2008 – No.1

2009 ◽  
Vol 13 (3) ◽  
pp. 171-171
Author(s):  
Tsuyoshi Nakamura ◽  
Keyword(s):  
Soft Computing ◽  
Fuzzy Systems ◽  
Intelligent Systems ◽  
Current Issue ◽  
Fuzzy Theory ◽  
Special Issue ◽  
Self Organizing Maps ◽  
Tokyo Institute ◽  
Institute Of Technology ◽  
And Robotics

Welcome to this special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII). I am pleased to introduce 41 selected papers presented at the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held on September 17-21, 2008, at Nagoya University in Nagoya, Japan. This conference featured 401 original papers in presentations attended by some 500 participants. SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of research ranging from fuzzy systems, neural networks, and evolutionary computation to multiagent systems, artificial intelligence, and robotics. This current issue presents 20 papers covering most of the conference topics including fuzzy theory, self-organizing maps, robotics, computer vision, and optimization algorithms. I would like to thank the authors and reviewers and SCIS & ISIS 2008 for making this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University, and Prof. Kaoru Hirota, Tokyo Institute of Technology, the editors-in-chief, and the SCIS & ISIS 2008 conference staff for inviting me to guest-edit this Journal.

scholarly journals Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4727
Author(s):  
Maysam Abbod ◽  
Jiann-Shing Shieh
Keyword(s):  
Artificial Intelligence ◽  
Signal Processing ◽  
Big Data ◽  
Deep Learning ◽  
Health Monitoring ◽  
Intelligent Systems ◽  
Measurement Techniques ◽  
Mechanical Systems ◽  
Data Sets ◽  
Special Issue

Recently, significant developments have been achieved in the field of artificial intelligence, in particular the introduction of deep learning technology that has improved the learning and prediction accuracy to unpresented levels, especially when dealing with big data and high-resolution images. Significant developments have occurred in the area of medical signal processing, measurement techniques, and health monitoring, such as vital biological signs for biomedical systems and noise and vibration of mechanical systems, which are carried out by instruments that generate large data sets. These big data sets, ultimately driven by high population growth, would require Artificial Intelligence techniques to analyse and model. In this Special Issue, papers are presented on the latest signal processing and deep learning techniques used for health monitoring of biomedical and mechanical systems.

Special Issue on Papers Selected in ISIS & SCIS 2003

2004 ◽  
Vol 8 (4) ◽  
pp. 349-349
Author(s):  
Yong-Soo Kim ◽  
◽  
Kwee-Bo Sim ◽  
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Genetic Algorithms ◽  
Soft Computing ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Fuzzy Controller ◽  
Intelligent System ◽  
Wide Spectrum ◽  
Special Issue

This special issue of journal covers a broad field ranging from intelligent systems to robotics. These papers were selected among the papers that were presented at the Joint 4th International Symposium on Advanced Intelligent Systems and 2nd International Conference on Soft Computing and Intelligent Systems which was held in Jeju, Korea on September 25-28, 2003. In the above symposium, there was a wide spectrum of intelligent systems and related topics, including sessions: intelligent systems, intelligent control, fuzzy sets, fuzzy systems, neural networks, robotics, genetic algorithms, image processing, soft computing, artificial life, etc. Many interesting results were presented at the symposium. Among these various papers, this special issue offers a selection of sixteen papers that contribute to advances of intelligent systems in various aspects. The topics that the selected papers deal with are fuzzy controller for the mobile robot control, neural networks and their application to image processing, intelligent control for a robot, intelligent system for probe detection, fuzzy image processing, genetic algorithms, fuzzy clustering for incomplete categorical data, predictive fuzzy controller for an electric four-wheeled vehicle. As guest editors of this special issue, we would like to express our thanks to authors for their contribution, the anonymous referees for their review, and Prof. Kaoru Hirota for his giving the opportunity to publish this special issue.

scholarly journals Smart Sensors and Devices in Artificial Intelligence

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5945
Author(s):  
Dan Zhang ◽  
Bin Wei
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicle ◽  
Intelligent System ◽  
Smart Sensors ◽  
Automated Guided Vehicle ◽  
Special Issue ◽  
Aerial Vehicle

As stated in the Special Issue call, “sensors are eyes or/and ears of an intelligent system, such as Unmanned Aerial Vehicle (UAV), Automated Guided Vehicle (AGV) and robots [...]

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