Computational Cybernetics

2004 ◽  
Vol 8 (5) ◽  
pp. 453-453
Author(s):  
Wilfried Elmenreich ◽  
◽  
Imre J. Rudas ◽  
Keyword(s):  
Control Systems ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Adaptive Systems ◽  
Communication Theory ◽  
Lake Balaton ◽  
Automatic Control Systems ◽  
Processing Information ◽  
Technology Control ◽  
The Comparative Study

This issue contains selected papers from the International IEEE Conference on Computational Cybernetics that took place in August 2003 in Hungary at the site of lake Balaton. Computational Cybernetics is the synergetic integration of Cybernetics and Computational Intelligence techniques. Cybernetics was defined by Wiener as "the science of control and communication, in the animal and the machine". The word "cybernetics" itself stems from the Greek "kybernetes" that means pilot or governor. Thus, the science of computational Cybernetics is especially concerned with the comparative study of automatic control systems. Furthermore, Computational Cybernetics covers not only mechanical, but biological (living), social and economical systems and for this uses computational intelligence based results of communication theory, signal processing, information technology, control theory, the theory of adaptive systems, the theory of complex systems (game theory, operational research), and computer science. We have selected 14 papers from the conference covering the fields of system design and modeling, neural networks, and fuzzy control, which resemble the great variety of computational cybernetics. While it is sometimes difficult to integrate over these differing fields, we expect the evolution of future intelligent systems at the service of mankind by the synergetic integration of these different areas. It is our hope that the papers in this issue will inspire and help our readers in the development of advanced intelligent systems.

Special Issue on Computational Cybernetics

2005 ◽  
Vol 9 (4) ◽  
pp. 345-345
Author(s):  
Wilfried Elmenreich ◽  
◽  
Imre J. Rudas ◽  
Keyword(s):  
Control Theory ◽  
Intelligent Systems ◽  
Adaptive Systems ◽  
Communication Theory ◽  
Social Systems ◽  
Feedback Mechanism ◽  
Wide Field ◽  
Automatic Control Systems ◽  
Review Cycle ◽  
The One

This issue contains selected papers from the International IEEE Conference on Computational Cybernetics that took place in Vienna 2004 in Austria at the Vienna University of Technology. Computational Cybernetics is the synergetic integration of Cybernetics and Computational Intelligence techniques. Cybernetics was defined by Wiener as "the science of control and communication, in the animal and the machine". The word "cybernetics" itself stems from the Greek "kybernetes" that means pilot or governor. While the roots of cybernetics go back to the time when James Watt equipped his steam engine with a Governor, that is a simple feedback mechanism for regulation of steam flow, the computational component was a child of the 20th century with the rise of information processing machines. The science of cybernetics and the science of computer science have in common, that both infiltrated many fields of application such as mathematics, telecommunication, regulated engines, living systems/medicine, social systems, and economical systems. Thus, on the one hand, the science of computational cybernetics encompasses a wide field, like the comparative study of automatic control systems, mechanical, biological (living), social and economical systems, communication theory, signal processing, information technology, control theory, the theory of adaptive systems, and the theory of complex systems (game theory, operational research). On the other hand, this research allows for finding common roots and common behavior among this broad field. This dichotomy between a broad overarching topic and the focus on computational cybernetics establishes the basis for interesting talks and discussions between scientists of different disciplines. We have selected 11 papers from the conference covering the fields of system design and modeling, neural networks, control theory, robotics and pattern recognition, which resemble the great variety of computational cybernetics. After the conference, each of these papers has undergone another peer review cycle in which the papers had been improved in order to fit this journal's topic and quality. It is our hope that the papers in this issue will inspire and help our readers in the development of advanced intelligent systems at the service of mankind.

scholarly journals Monitoring Suhu Kelembaban dan Polusi Udara Berbasis Raspberry Pi 3 dengan Menggunakan Transmisi Radio Frekuensi

2020 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Husnibes Muchtar ◽  
Rahmat Sabar Hakiki
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Communication Technology ◽  
Human Activities ◽  
Human Life ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Automatic Control Systems ◽  
Surrounding Environment ◽  
Technology Control

Perkembangan ilmu pengetahuan teknologi saaat ini di tandai dengan bermunculan nya alat-alat yang menggunakan sistem kontrol digital dan otomatis, teknologi menjadi hal yangan sangat berguna bagi kehidupan manusia, mulai dari teknologi mekanik, listrik dan komunikasi yang sangat membantu aktivitas manusia agar lebih mudah dan lebih efisien.Penggunaan teknologi komunikasi sistem kontrol dan monitoring. Dalam hal ini pengontrolan menggunakan Handy talky sebagai komunikasi dan raspberry PI 3 sebagai pengontrolnya. Sensor untuk mendeteksi lingkungan sekitar dan LCD untuk menampilkan hasil sensor. The development of science and technology is currently marked by the emergence of tools that use digital and automatic control systems, technology is becoming a very useful thing for human life, ranging from mechanical, electrical and communication technology which greatly helps human activities to be easier and more efficient. efficient.Use of communication technology control and monitoring systems. In this case the controller uses Handy talky as communication and raspberry PI 3 as the controller. Sensors to detect the surrounding environment and LCD to display sensor results.

scholarly journals Algorithmic Support of Adaptive Automatic Control Systems with Data Compression

2020 ◽  
Vol 23 (6) ◽  
pp. 84-99
Author(s):  
V. V. Alekseev ◽  
E. M. Antonyuk ◽  
I. E. Varshavskiy
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Adaptive Systems ◽  
Sequential Analysis ◽  
Measurement Information ◽  
Continuous Control ◽  
Automatic Control Systems ◽  
Operation Speed ◽  
Algorithmic Support ◽  
Time Division

Introduction. The exponential growth of measurement information caused by ongoing complication of technical and production facilities necessitates the development of improved or brand new information and measurement systems, including those performing adaptive automatic control functions. Automatic criteria-based selection and reduction of measurement information continuously supplied by multi-parameter sources characterizing the objects under study require algorithms ensuring reconfiguration of automatic control systems during operation. In comparison with automatic control systems based on time-division channelling, the considered adaptive systems provide timely information on the pre-emergency and emergency operation of a facility.Aim. To develop an algorithmic support for adaptive automatic control systems using asynchronous-cyclic and parallel-sequential operating algorithms, as well as to compare the proposed algorithms in terms of their, control reliability, compression ratio, operation speed and the error associated with multi-channelling.Materials and methods. The algorithms proposed for supporting the operation of adaptive systems were developed on the basis of queuing theory and simulation modelling using the MatLab/Simulink programming languages, C++.Results. The developed algorithmic support for automatic control systems based on asynchronous-cyclic analysis of deviations allows the amount of redundant information to be reduced by more than 4 times and the operation speed to be increased by 1.5 times. The developed algorithmic support for automatic control systems based on parallel-sequential analysis of deviations allows the error associated with multi-channelling to be reduced by 1.4 times, thereby bringing the control reliability of such systems closer to that of continuous-control systems. An analysis of the graphs of the error associated with multi-channelling showed that the automatic control systems based on parallel-sequential operational algorithms are invariant to the law of distribution of input quantities, compared to the systems based on asynchronous-cyclic operational algorithms.Conclusions. The proposed algorithmic support can significantly decrease the redundancy of information and improve the metrological characteristics of automatic control systems. The use of the developed algorithms in automatic control systems based on time-division channelling render their control reliability comparable with that of continuous-control systems.

COMPARISON OF CYBER CRIME AWARENESS AMONG SCIENCE AND SOCIAL SCIENCE PERSPECTIVE TEACHERS

2017 ◽  
Vol 4 (36) ◽  
Author(s):  
Anupam Bansal
Keyword(s):  
Social Science ◽  
Automatic Control ◽  
Control Systems ◽  
Child Pornography ◽  
Cyber Crime ◽  
Computer Data ◽  
Automatic Control Systems ◽  
Living Things ◽  
Wide Range

“Cyber crime” has been used to describe a wide range of offences, including offences against computer data and systems (such as “Hacking”), computer related forgery and fraud (such as “phishing”), content offences (such as disseminating child pornography), and copyright offences (such as the dissemination of pirated content). The word “Cyber Crime” has been derived from the words “Cybernetic” which means the science of communication and automatic control systems in both machines and living things.

Automatic Control Systems for Construction Machinery

1988 ◽  
Author(s):  
Makoto Kakuzen ◽  
Hirokazu Araya ◽  
Nobuo Kimura ◽  
Isao Sawamura
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Construction Machinery ◽  
Automatic Control Systems

Proficiency-aware systems

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jakob Karolus ◽  
Paweł W. Woźniak
Keyword(s):  
Intelligent Systems ◽  
Adaptive Systems ◽  
Physiological Data ◽  
Context Aware ◽  
Stepping Stone ◽  
Digital World ◽  
Proficiency Estimation ◽  
The Way

Abstract In an increasingly digital world, intelligent systems support us in accomplishing many everyday tasks. With the proliferation of affordable sensing devices, inferring user states from collected physiological data paves the way to tailor-made adaptation. While estimating a user’s abilities is technically possible, such proficiency assessments are rarely employed to benefit the user’s task reflection. In our work, we investigate how to model and design for proficiency estimation as part of context-aware systems. In this paper, we present the definition and conceptual architecture of proficiency-aware systems. The concept is not only applicable to current adaptive systems but provides a stepping stone for systems which actively aid in developing user proficiency during interaction.

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