Human Intellect Optimal Tuning And Control

It is easily can be proved that the human brain equipped sense organs can work as an universal measuring tool, and measure with sufficient accuracy after some training not only a distance, mass or volume, but and parameters of important personal functions. Unfortunately, this instrument does not have an indicator device (panel) and results of measurements usually hidden in the depth of subconscious part of mind. To extract these results of measurements, at first, is needed to find an access code for this information, secondly, to deduce this information in a convenient for perception form, and after that to decipher it. Based on this approach a new method of direct measurement of intellectual parameters was used for appraisal such characteristics of intellect and mind as creativity, intuition, willpower, stress level, vital energy index, etc. Verification of the accuracy of measurement of some bio-physical parameters measured by the same method (for example number of thrombocytes in the blood) is carried out by comparison with laboratory blood tests. Research and physical measurements of a person's intellectual abilities have shown that they can change significantly from the influence of many external factors and, first of all, of light, electromagnetic and sound perceptions of the senses, both for the better and for the worse. This allows significantly increasing the capabilities and expanding the range of use of any entrainment technology. Using algorithms of multi-parameter optimization, the method allows increasing the level of intellect and its components in several times practically for everyone. Measurement of willpower and stress opens the prospect for many people to maintain their health and activity at the proper level throughout life. In the book are collected also some rules and methods allowing to support intellectual abilities of the mind on an optimum level by means of mindset management, control of the subconscious mind, cognitive control, and control emotions. Method of measurement of intellectual abilities and compatibility of team members can be used in process of the hiring, searching a bride, etc.

In recent years, the integration of electric motors into various applications has surged, driven by the ever-growing demand for efficient and sustainable energy solutions. Among the myriad of electric motor types, Direct Current (DC) motors stand out for their versatility, reliability, and controllability, making them a cornerstone in a wide array of industries, from manufacturing and transportation to renewable energy systems and home appliances. The significance of DC motors lies not only in their mechanical prowess but also in the sophisticated control schemes that govern their operation.

This book deals with evolving intelligence systems and their use in immune algorithm (IM), particle swarm optimization (PSO), bacterial foraging (BF), and hybrid intelligent system to improve plants, robots, etc. It discusses the motivation behind research on and background of evolving intelligence systems and illustrates IM-based approach for parameter estimation required for designing an intelligent system. It approaches optimal intelligent tuning using a hybrid genetic algorithm–particle swarm optimization (GA-PSO) and illustrates hybrid GA-PSO for intelligent tuning of vector system.

In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.

The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.

Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis.

This book gathers the proceedings of the International Conference on Advanced Information Technology, Services and Systems (AIT2S-18), which was held in Mohammedia, Morocco on October 17–18, 2018. Presenting the latest research in the fields of Modern Information Engineering Concepts and Communication Systems, the book will also be of interest to those working in emerging fields such as Advances in Networking and Sensor Networks, Advances in Software Engineering, Multimedia Systems, E-learning, Big Data, Intelligent Information Systems and Advances in Natural Language Processing.