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Advanced dynamics modeling, duality and control of robotic systems
This book provides detailed fundamental theoretical reviews and preparations necessary for developing advanced dynamics modeling and control strategies for various types of robotic systems. This research book specifically addresses and discusses the uniqueness issue of representing orientation or rotation, and further proposes an innovative isometric embedding approach. The novel approach can not only reduce the dynamic formulation for robotic systems into a compact form, but it also offers a new way to realize the orientational trajectory-tracking control procedures. In addition, the book gives a comprehensive introduction to fundamentals of mathematics and physics that are required for modeling robot dynamics and developing effective control algorithms. Many computer simulations and realistic 3D animations to verify the new theories and algorithms are included in the book as well. It also presents and discusses the principle of duality involved in robot kinematics, statics, and dynamics. The duality principle can guide the dynamics modeling and analysis into a right direction for a variety of robotic systems in different types from open serial-chain to closed parallel-chain mechanisms. It intends to serve as a diversified research reference to a wide range of audience, including undergraduate juniors and seniors, graduate students, researchers, and engineers interested in the areas of robotics, control and applications.
Book
Driving 5G mobile communications with artificial intelligence towards 6G
\"Driving 5G Mobile Communications with Artificial Intelligence towards 6G\" presents current work and directions of continuous innovation and development in multimedia communications with a focus on services and users. The fifth generation of mobile wireless networks achieved the first deployment by 2020, completed the first phase of evolution in 2022, and started transition phase of 5G-Advanced toward the sixth generation. Perhaps one of the most important innovations brought by 5G is the platform-approach to connectivity, i.e., a single standard that can adapt to the heterogeneous connectivity requirements of vastly different use cases. 5G networks contain a list of different requirements, standardized technical specifications and a range of implementation options with spectral efficiency, latency, and reliability as primary performance metrics. Towards 6G, machine learning (ML) and artificial intelligence (AI) methods have recently proposed new approaches to modeling, designing, optimizing and implementing systems. They are now matured technologies that improve many research fields significantly.--Back cover.
Book
Dung beetle optimizer: a new meta-heuristic algorithm for global optimization
In this paper, a novel population-based technique called dung beetle optimizer (DBO) algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and reproduction behaviors of dung beetles. The newly proposed DBO algorithm takes into account both the global exploration and the local exploitation, thereby having the characteristics of the fast convergence rate and the satisfactory solution accuracy. A series of well-known mathematical test functions (including both 23 benchmark functions and 29 CEC-BC-2017 test functions) are employed to evaluate the search capability of the DBO algorithm. From the simulation results, it is observed that the DBO algorithm presents substantially competitive performance with the state-of-the-art optimization approaches in terms of the convergence rate, solution accuracy, and stability. In addition, the Wilcoxon signed-rank test and the Friedman test are used to evaluate the experimental results of the algorithms, which proves the superiority of the DBO algorithm against other currently popular optimization techniques. In order to further illustrate the practical application potential, the DBO algorithm is successfully applied in three engineering design problems. The experimental results demonstrate that the proposed DBO algorithm can effectively deal with real-world application problems.
Journal Article
Cognitive electronic warfare : an artificial intelligence approach
This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.
Book
Artificial intelligent : techniques for electric and hybrid electric vehicles
Electric vehicles are changing transportation dramatically and this unique book merges the many disciplines that contribute research to make EV possible, so the reader is informed about all the underlying science and technologies driving the change.
eBook
Photosynthetic protein-based photovoltaics
\"Photosynthetic protein complexes have an overall quantum yield close to 100%. Photovoltaic devices using protein complexes can provide an economical alternative to existing solar cells. This book explains how to build and improve the efficiency of protein solar energy conversion devices based on the present understanding of the photosynthetic proteins\"-- Provided by publisher.
Book
Reliability-based design optimization: a state-of-the-art review of its methodologies, applications, and challenges
Reliability-based design optimization (RBDO) integrates various uncertainties into the design optimization process, offering a more realistic and robust approach compared to traditional deterministic design optimization methods. Thus, RBDO has emerged as a highly compelling and vital research direction within the design field. However, there is currently a dearth of comprehensive reviews on RBDO methodologies presented in a clear and concise manner. This paper aims to address this gap by providing a state-of-the-art review of RBDO methodologies across four key aspects: performance function evaluation, reliability analysis, optimization strategies and algorithms, and RBDO applications in five typical engineering fields. The paper commences by presenting basic RBDO formulations and providing an overall picture of various RBDO methodologies. Subsequently, performance function evaluation methodologies are explained and then categorized into three groups: physics-based performance function evaluation, data-driven performance function evaluation, and physics-informed performance function evaluation. Following this, two types of reliability analysis methodologies are introduced: time-independent reliability analysis and time-dependent reliability analysis. The review also delves into the realm of optimization strategies, with a comprehensive examination of three types: double-loop strategy, single-loop strategy, and decoupling strategy. Moreover, two types of optimization algorithms, the gradient-based algorithm and the meta-heuristic algorithm, are extensively surveyed. Each is scrutinized in terms of their specific methods, advantages, and disadvantages. In addition to methodological exploration, the paper scrutinizes RBDO applications in five engineering fields: wind engineering, aeronautical engineering, ocean engineering, bridge engineering, and vehicle engineering. These applications are carefully surveyed regarding the various uncertainties encountered, the methods employed, and the results of specific RBDO problems. The paper concludes by summarizing key challenges and charting the future work of RBDO research. It offers valuable insights that draw from the analysis of 174 surveyed papers, enabling readers to gain a comprehensive understanding of RBDO theories and facilitating the proper selection and development of appropriate methods for different RBDO stages and problems in diverse engineering contexts.
Journal Article
Microbial‑induced carbonate precipitation (MICP) technology: a review on the fundamentals and engineering applications
The microbial‑induced carbonate precipitation (MICP), as an emerging biomineralization technology mediated by specific bacteria, has been a popular research focus for scientists and engineers through the previous two decades as an interdisciplinary approach. It provides cutting-edge solutions for various engineering problems emerging in the context of frequent and intense human activities. This paper is aimed at reviewing the fundaments and engineering applications of the MICP technology through existing studies, covering realistic need in geotechnical engineering, construction materials, hydraulic engineering, geological engineering, and environmental engineering. It adds a new perspective on the feasibility and difficulty for field practice. Analysis and discussion within different parts are generally carried out based on specific considerations in each field. MICP may bring comprehensive improvement of static and dynamic characteristics of geomaterials, thus enhancing their bearing capacity and resisting liquefication. It helps produce eco-friendly and durable building materials. MICP is a promising and cost-efficient technology in preserving water resources and subsurface fluid leakage. Piping, internal erosion and surface erosion could also be addressed by this technology. MICP has been proved suitable for stabilizing soils and shows promise in dealing with problematic soils like bentonite and expansive soils. It is also envisaged that this technology may be used to mitigate against impacts of geological hazards such as liquefaction associated with earthquakes. Moreover, global environment issues including fugitive dust, contaminated soil and climate change problems are assumed to be palliated or even removed via the positive effects of this technology. Bioaugmentation, biostimulation, and enzymatic approach are three feasible paths for MICP. Decision makers should choose a compatible, efficient and economical way among them and develop an on-site solution based on engineering conditions. To further decrease the cost and energy consumption of the MICP technology, it is reasonable to make full use of industrial by-products or wastes and non-sterilized media. The prospective direction of this technology is to make construction more intelligent without human intervention, such as autogenous healing. To reach this destination, MICP could be coupled with other techniques like encapsulation and ductile fibers. MICP is undoubtfully a mainstream engineering technology for the future, while ecological balance, environmental impact and industrial applicability should still be cautiously treated in its real practice.
Journal Article