Luben Boyanov

Institute for Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria

Some aspects of volume of information and human behavior

Abstract

This presentation considers some issues of the impact of the volume of information of the present digital age on people. The relation between the rapidly growing digitalization of the world, human skills and abilities according to the brain capacity is discussed. A key aspect in this relation is the ability of the humans to store and process the information. A comparison with a computer and its OS (or supervising program) to process information is made with what is known of the human brain functioning and few hypothesizes are outlaid. The role and scope of the educational process are discussed with an emphasis that new approaches for learning are to be proposed. The ever increasing volume of information is also related to the human society and its environment. The change of behavior of people is directly related to the change of our environment - the new digital one. Those issues are important not only for adapting of humanity in this new world but could be also crucial to its survival.

Keywords: information and human behavior, information processing, information and education, human brain and computers

Biography

Associate professor Luben Boyanov graduated from Sofia Technical University in 1985 as a computer science engineer. He defended a MSc thesis (1989) and PhD thesis (1996) at the University of Manchester, UK. He became an Associate Professor at the Institute of Parallel Processing at the Bulgarian Academy of Sciences in 2006. His major is in computer science, and the topics of his research activities were LANs, computer architectures, telecommunications. His early research and interests were on LAN interfaces and transputers where he built a shared-memory model and working prototype of transputer link communications. Later work and research was on computer architectures for distributed logic simulation. During the last decade he has been teaching, consulting and working on projects, in relation to computer architectures, CPU design, computer networks, GRID computing, e-infrastructure, information and human behavior, smart homes and human behavior. He participated in 10 international projects, on two of which he was project manager. He is also working on two national projects, for one of which he is project manager. Since 2001 he works at the department of Computer Architectures and Networks at the Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences (formerly Institute for Parallel Processing). For more than 15 year he has lectured Computing Machines, Computer Architectures and Computer Networks at Sofia Technical University, University of National and World Economy, New Bulgarian University and European Polytechnical University. He has 25 publications, including 4 books.

Reneta P. Barneva

State University of New York at Fredonia, USA

Space and Time Efficient Algorithms in Imaging Sciences

Abstract

According to the Encyclopedia of Imaging Science and Technology imaging sciences cover a multidisciplinary field concerned with the generation, collection, duplication, analysis, modification, and visualization of images. It combines research and methods from computer graphics, mathematics, image processing, patterns recognition, image analysis, graphic human-computer interface, machine vision, image mining, image compression, and perceptual psychology. The boom in imaging sciences is due in part to the expansion of digital image acquisition and storage based on the hardware development. Currently there exist large databases and digital warehouses of images in medicine, security, geosciences, astronomy, metallurgy, and many other fields. Therefore, in order to take maximal advantage of these huge databases, time- and space-efficient algorithms are required. Although the internal and the external memories are becoming cheaper and the computers nowadays are equipped with much more space than only a couple of years ago, the human-computer interaction may still face some problems when it is performed through the Internet. With the expansions of mobile devices, it is getting critical to develop more space- and time-efficient application. We also witness an expansion in the development of intelligent peripherals, specialized embedded computers, and others, most of which are equipped with image acquisition devices and image processing functions. Developing specialized algorithms and software for these devices is becoming increasingly important. This is particularly crucial when the size of the problem input is huge as in the case of images, since these devices are equipped with considerably lower working space than the usual computers. Therefore, an important task is creating novel space-efficient algorithms. Both space- and time-efficient algorithms are related to new models and some basic problems of image analysis and processing have interesting solutions when using trade-off between space and time. In this talk, the speaker will consider several problems in imaging sciences in time or space constraints and will discuss approaches to their solution.

Biography

Dr. Barneva is a professor and chair of the Department of Computer and Information Sciences, State University of New York at Fredonia. Her interests span in several areas of applied and theoretical computer science, such as digital geometry, design and analysis of algorithms, computer graphics, multimedia, and computational biology. She is a recipient of several national and international awards among which Wilkes Award of the British Computer Society, SUNY Chancellor's Award for Scholarship and Creative Activities, and Kasling Award - the most prestigious SUNY Fredonia research distinction. She also served as a vice-chair of IAPR TC-18 "Discrete Geometry." Dr. Barneva has published over 80 refereed papers and has co-edited ten books. She has chaired or served on the program committee of a number of conferences and workshops. In particular, she was a general chair of the International Symposium on Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications (CompIMAGE'10; Buffalo, New York), vice-chair of the 12th International Workshop on Combinatorial Image Analysis (IWCIA'08; Buffalo, New York), and program and publication chair of all IWCIA issues since then, held in Playa del Carmen (Mexico), Madrid (Spain), and Austin, TX (USA).

Nikolay Mirenkov

*AIDA: a language to represent algorithms in pictures

Abstract

Representing algorithms in pictures is an approach where pictures and moving pictures (animation) are used as super-characters for defining and explaining features of computational algorithms. Generic pictures are used to define compound pictures and compound pictures are assembled into special series for representing algorithmic features. *AIDA (Star-AIDA) is a language realizing this approach (AIDA stands for Animation and Images to Develop Algorithms). In fact, it is a language of explanations of application models, methods and algorithms involved rather than a language of coding; it is a language of a new generation with integrated means for programming, modeling and documenting. In this presentation, *AIDA language and its fundamental features (user-friendliness, compactness of constructs and components, easiness of learning, reusability, etc.) will be briefly considered and examples of programs in algorithmic pictures will be provided. Special attention will be payed to 1) space structures imitating some physical regions (shapes) in 3-D space and how units of computational activity come to data, and 2) diagram structures representing connections between a set of computational activity units and how data come to these units. Special attention will also be payed to knowledge/ experience acquisition through special galleries and libraries of an open type. Such acquisition permanently enhances intelligent aspects of the language environment in general and allows obtaining necessary features required by specific applications.

Biography

Professor Nikolay Mirenkov received his PhD and Doctor of Science degree (Habilitation) in Computer Science and Engineering from the Novosibirsk Technical University and the USSR Academy of Sciences in 1972 and 1983, respectively. He came to the University of Aizu (Japan) from the USSR Academy of Sciences (Novosibirsk) in 1993, where he was the head of the supercomputer software department. He was an expert of the National Higher Attestation Committee and a member of Councils awarding higher degrees in research. Since 1993 he has been a professor of the University of Aizu. He was head of the Graduate department of Information systems, head of Computer Software department, dean of the Graduate School of Computer Science and Engineering and Vice President of the University of Aizu. Currently he is a Special Honorary Professor. He authored and edited 12 books, and published more than 200 refereed papers. His research interests include programming in pictures, self-explanatory components, human-computer interfaces for people with special needs, 3-D Kanji, visualization, sonification, and filmification of methods and data, as well as parallel programming and high performance computing. His former PhD students are working in many countries including the USA, Germany, Japan, Philippines, Saudi Arabia, Ukraine and Russia.

Minetada Osano

Water Circulation Model on Forest Miles Sea for living Humanity

Abstract

One river constructs Forests, Miles and Sea region parts. The water of the river is cleaned in a permanent water circulation. This endless water in the river is provided for living humanity and all life forms as an ecosystem. The Kyoto Club Model is an ecosystem model for simulating human life on a permanent basis in Water Circulations River into the far future. This Model is extended to the Roma Club Model that is a first global world economic Model created in 1973 by Dr. Medows. The Model is constructed on the five layers that are cultural spirit, Human life and an ecosystem, natural phenomenal and geographic layer. This talk will present the element parts of cultural spirit and Human life on the Kyoto Club Model.

Biography

His career before professor emeritus was that he taught computer science, numerical analysis and physical science for undergraduate students and Intelligence and Sensibility Engineering for graduate students as professor and associate professor from 1993 to 2011 at the University of Aizu. His researches include a wide range of fields that are new parallel computational methods, energy and envelopment simulation models, adapted action robots, affective education systems, tracing human history, environmental issues, etc. He worked for the University of Tokyo as assistant and assistant professor from 1968 to 1993. He researched on electric power network control systems in the electric engineering department at the University of Tokyo. He received his Doctor of Engineering degree from the University of Tokyo. He has many publications including 5 books and 15 more research papers within recent ten years.