Combustion Optimization Based On Computational Intelligence

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Combustion Optimization Based on Computational Intelligence

Author : Hao Zhou
Publisher : Springer
ISBN 13 : 9811078750
Total Pages : 291 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Combustion Optimization Based on Computational Intelligence by : Hao Zhou

Download or read book Combustion Optimization Based on Computational Intelligence written by Hao Zhou and published by Springer. This book was released on 2018-02-02 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

Author : Jihad Badra
Publisher : Elsevier
ISBN 13 : 0323884571
Total Pages : 260 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by : Jihad Badra

Download or read book Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines written by Jihad Badra and published by Elsevier. This book was released on 2022-01-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design. Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems Features a comprehensive overview of how AI/ML techniques are used in conjunction with simulations and experiments Discusses data driven optimization techniques for fuel formulations and vehicle control calibration

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

Author : Jihad Badra
Publisher : Elsevier
ISBN 13 : 032388458X
Total Pages : 262 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by : Jihad Badra

Download or read book Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines written by Jihad Badra and published by Elsevier. This book was released on 2022-01-05 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design. - Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems - Features a comprehensive overview of how AI/ML techniques are used in conjunction with simulations and experiments - Discusses data driven optimization techniques for fuel formulations and vehicle control calibration

Applications of Computational Intelligence to Power Systems

Author : Vassilis S. Kodogiannis
Publisher : MDPI
ISBN 13 : 3039217607
Total Pages : 116 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Applications of Computational Intelligence to Power Systems by : Vassilis S. Kodogiannis

Download or read book Applications of Computational Intelligence to Power Systems written by Vassilis S. Kodogiannis and published by MDPI. This book was released on 2019-11-08 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.

Computer, Intelligent Computing and Education Technology

Author : Hsiang-Chuan Liu
Publisher : CRC Press
ISBN 13 : 1315775565
Total Pages : 1477 pages
Book Rating : 4.3/5 (157 download)

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Book Synopsis Computer, Intelligent Computing and Education Technology by : Hsiang-Chuan Liu

Download or read book Computer, Intelligent Computing and Education Technology written by Hsiang-Chuan Liu and published by CRC Press. This book was released on 2014-03-26 with total page 1477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings set contains selected Computer, Information and Education Technology related papers from the 2014 International Conference on Computer, Intelligent Computing and Education Technology (CICET 2014), held March 27-28, 2014 in Hong Kong. The proceedings aims to provide a platform for researchers, engineers and academics as well as indu

Database Systems for Advanced Applications. DASFAA 2020 International Workshops

Author : Yunmook Nah
Publisher : Springer Nature
ISBN 13 : 3030594130
Total Pages : 296 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Database Systems for Advanced Applications. DASFAA 2020 International Workshops by : Yunmook Nah

Download or read book Database Systems for Advanced Applications. DASFAA 2020 International Workshops written by Yunmook Nah and published by Springer Nature. This book was released on 2020-09-21 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS 12115 constitutes the workshop papers which were held also online in conjunction with the 25th International Conference on Database Systems for Advanced Applications in September 2020. The complete conference includes 119 full papers presented together with 19 short papers plus 15 demo papers and 4 industrial papers in this volume were carefully reviewed and selected from a total of 487 submissions. DASFAA 2020 presents this year following five workshops: The 7th International Workshop on Big Data Management and Service (BDMS 2020) The 6th International Symposium on Semantic Computing and Personalization (SeCoP 2020) The 5th Big Data Quality Management (BDQM 2020) The 4th International Workshop on Graph Data Management and Analysis (GDMA 2020) The 1st International Workshop on Artificial Intelligence for Data Engineering (AIDE 2020)

Thermal Power Plants

Author : Xingrang Liu
Publisher : CRC Press
ISBN 13 : 1315354268
Total Pages : 344 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Thermal Power Plants by : Xingrang Liu

Download or read book Thermal Power Plants written by Xingrang Liu and published by CRC Press. This book was released on 2016-08-19 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thermal Power Plants: Modeling, Control, and Efficiency Improvement explains how to solve highly complex industry problems regarding identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence-based multiobjective identification and optimization, distributed computing, and cloud computing with computational fluid dynamics (CFD) technology. Introducing innovative methods utilized in industrial applications, explored in scientific research, and taught at leading academic universities, this book: Discusses thermal power plant processes and process modeling, energy conservation, performance audits, efficiency improvement modeling, and efficiency optimization supported by high-performance computing integrated with cloud computing Shows how to simulate fossil fuel power plant real-time processes, including boiler, turbine, and generator systems Provides downloadable source codes for use in CORBA C++, MATLAB®, Simulink®, VisSim, Comsol, ANSYS, and ANSYS Fluent modeling software Although the projects in the text focus on industry automation in electrical power engineering, the methods can be applied in other industries, such as concrete and steel production for real-time process identification, control, and optimization.

Advanced Anomaly Detection Technologies and Applications in Energy Systems

Author : Tinghui Ouyang
Publisher : Frontiers Media SA
ISBN 13 : 2832501419
Total Pages : 628 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advanced Anomaly Detection Technologies and Applications in Energy Systems by : Tinghui Ouyang

Download or read book Advanced Anomaly Detection Technologies and Applications in Energy Systems written by Tinghui Ouyang and published by Frontiers Media SA. This book was released on 2022-10-14 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Swarm and Computational Intelligence

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3319204696
Total Pages : 495 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Advances in Swarm and Computational Intelligence by : Ying Tan

Download or read book Advances in Swarm and Computational Intelligence written by Ying Tan and published by Springer. This book was released on 2015-06-01 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Neural Networks -- ISNN 2011

Author : Derong Liu
Publisher : Springer
ISBN 13 : 3642211054
Total Pages : 667 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Neural Networks -- ISNN 2011 by : Derong Liu

Download or read book Advances in Neural Networks -- ISNN 2011 written by Derong Liu and published by Springer. This book was released on 2011-05-20 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

Heat transfer in data centers, volume II

Author : Chengbin Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2832507484
Total Pages : 89 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Heat transfer in data centers, volume II by : Chengbin Zhang

Download or read book Heat transfer in data centers, volume II written by Chengbin Zhang and published by Frontiers Media SA. This book was released on 2023-03-24 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Convergence of Artificial Intelligence and Internet of Things for Industrial Automation

Author : Divya Mishra
Publisher : CRC Press
ISBN 13 : 1040112048
Total Pages : 222 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Convergence of Artificial Intelligence and Internet of Things for Industrial Automation by : Divya Mishra

Download or read book Convergence of Artificial Intelligence and Internet of Things for Industrial Automation written by Divya Mishra and published by CRC Press. This book was released on 2024-10-07 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing. This book: • Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications. • Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation. • Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing. • Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things. • Highlights operation management using human-robot, smart maintenance, and autonomous production. It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.

Applied Computer Vision and Image Processing

Author : Brijesh Iyer
Publisher : Springer Nature
ISBN 13 : 9811540292
Total Pages : 444 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applied Computer Vision and Image Processing by : Brijesh Iyer

Download or read book Applied Computer Vision and Image Processing written by Brijesh Iyer and published by Springer Nature. This book was released on 2020-07-28 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.

Diesel Engines - Current Challenges and Future Perspectives

Author : Hasan Koten
Publisher : BoD – Books on Demand
ISBN 13 : 1837694613
Total Pages : 158 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Diesel Engines - Current Challenges and Future Perspectives by : Hasan Koten

Download or read book Diesel Engines - Current Challenges and Future Perspectives written by Hasan Koten and published by BoD – Books on Demand. This book was released on 2024-05-22 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the current technology and future status of diesel engines. While gasoline engines are preferred for speed and jet engines, diesel engines are widely used in vehicles and machinery that require torque, such as ships, trains, tanks, unmanned ariel vehicles (UAVs), and heavy-duty vehicles. Some recent research on global climate change has focused on obtaining zero carbon, zero emissions, and decarbonization via clean combustion technologies. For this reason, restrictive emission regulations have forced engine manufacturers and research centers to turn to different technologies to achieve clean combustion in diesel engines. This book focuses on different combustion technologies, from artificial intelligence applications in diesel engines to alternative fuels. It discusses the roles of artificial intelligence in the design of diesel engines, the use of different fuels in diesel engines, and the effects of these on the performance and emission values of diesel engines. Solving the challenge of hydrogen storage in hydrogen-fed diesel engines will open a new era for internal combustion engines. In particular, the use of hydrogen fuel produced by the reaction of chemical ingredients with water in diesel engine cycles will have a significant impact on the industry. This book, which brings together the latest studies on clean combustion technologies, is an interesting resource for both industry and research centers.

Computational Intelligence in Automotive Applications

Author : Danil Prokhorov
Publisher : Springer
ISBN 13 : 3540792570
Total Pages : 288 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence in Automotive Applications by : Danil Prokhorov

Download or read book Computational Intelligence in Automotive Applications written by Danil Prokhorov and published by Springer. This book was released on 2008-05-28 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.

Advances in Computer Science and Information Engineering

Author : David Jin
Publisher : Springer Science & Business Media
ISBN 13 : 3642302238
Total Pages : 706 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Computer Science and Information Engineering by : David Jin

Download or read book Advances in Computer Science and Information Engineering written by David Jin and published by Springer Science & Business Media. This book was released on 2012-05-11 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: CSIE2012 is an integrated conference concentrating its focus on Computer Science and Information Engineering . In the proceeding, you can learn much more knowledge about Computer Science and Information Engineering of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.

Computational Intelligence - Volume II

Author : Hisao Ishibuchi
Publisher : EOLSS Publications
ISBN 13 : 1780210213
Total Pages : 410 pages
Book Rating : 4.7/5 (82 download)

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Book Synopsis Computational Intelligence - Volume II by : Hisao Ishibuchi

Download or read book Computational Intelligence - Volume II written by Hisao Ishibuchi and published by EOLSS Publications. This book was released on 2015-12-30 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Computational intelligence is a rapidly growing research field including a wide variety of problem-solving techniques inspired by nature. Traditionally computational intelligence consists of three major research areas: Neural Networks, Fuzzy Systems, and Evolutionary Computation. Neural networks are mathematical models inspired by brains. Neural networks have massively parallel network structures with many neurons and weighted connections. Whereas each neuron has a simple input-output relation, a neural network with many neurons can realize a highly non-linear complicated mapping. Connection weights between neurons can be adjusted in an automated manner by a learning algorithm to realize a non-linear mapping required in a particular application task. Fuzzy systems are mathematical models proposed to handle inherent fuzziness in natural language. For example, it is very difficult to mathematically define the meaning of “cold” in everyday conversations such as “It is cold today” and “Can I have cold water”. The meaning of “cold” may be different in a different situation. Even in the same situation, a different person may have a different meaning. Fuzzy systems offer a mathematical mechanism to handle inherent fuzziness in natural language. As a result, fuzzy systems have been successfully applied to real-world problems by extracting linguistic knowledge from human experts in the form of fuzzy IF-THEN rules. Evolutionary computation includes various population-based search algorithms inspired by evolution in nature. Those algorithms usually have the following three mechanisms: fitness evaluation to measure the quality of each solution, selection to choose good solutions from the current population, and variation operators to generate offspring from parents. Evolutionary computation has high applicability to a wide range of optimization problems with different characteristics since it does not need any explicit mathematical formulations of objective functions. For example, simulation-based fitness evaluation is often used in evolutionary design. Subjective fitness evaluation by a human user is also often used in evolutionary art and music. These volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers.