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Electronic engineering and design innovation are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation via electronic engineering includes electrical circuits and devices, computer science and engineering, communications and information processing, and electrical engineering communications. The Special Issue selected excellent papers presented at the International Conference on Knowledge Innovation and Invention 2018 (IEEE ICKII 2018) on the topic of electronics and their applications. This conference was held on Jeju Island, South Korea, 23–27 July 2018, and it provided a unified communication platform for researchers from all over the world. The main goal of this Special Issue titled “Selected papers from IEEE ICKII 2018” is to discover new scientific knowledge relevant to the topic of electronics and their applications.
n/a --- bandpass filter --- total harmonic distortion (THD) --- long short term memory (LSTM) --- integrated passive device --- intertwined spiral inductor --- global navigation satellite system (GNSS) --- hardware in the loop (HIL) --- interdigital capacitor --- inertial navigation system (INS) --- finite-time convergence control (FTCC) --- digital speckle correlation measurement method --- discrete grey prediction model (DGPM) --- interior permanent magnet synchronous motor --- fuzzy logic --- full pixel search algorithm --- maximum torque per voltage (MTPV) --- spiral capacitor --- gated recurrent unit (GRU) --- chattering --- microelectronics system (MEMS) --- field weakening --- maximum torque per ampere (MTPA) --- hardware implementation --- AC power supply
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This book includes 15 articles published in the Special Issue "Theoretical Computer Science and Discrete Mathematics" of Symmetry (ISSN 2073-8994). This Special Issue is devoted to original and significant contributions to theoretical computer science and discrete mathematics. The aim was to bring together research papers linking different areas of discrete mathematics and theoretical computer science, as well as applications of discrete mathematics to other areas of science and technology. The Special Issue covers topics in discrete mathematics including (but not limited to) graph theory, cryptography, numerical semigroups, discrete optimization, algorithms, and complexity.
fuzzy set --- n-Pythagorean --- n-PFS algebra --- triangular norms --- outer-independent Roman domination --- Roman domination --- vertex cover --- rooted product graph --- total domination --- domination --- secure domination --- secure Italian domination --- weak roman domination --- w-domination --- cryptanalysis --- group key establishment --- topology optimization --- optimization --- filtering --- method --- penalization --- weight factor --- FEM --- MATLAB --- SIMP --- estimated prime factor --- integer factorisation problem --- continued fraction --- Fermat’s Factoring Algorithm --- genetic algorithm --- AES(t) --- heuristics --- microaggregation --- statistical disclosure control --- graph theory --- traveling salesman problem --- data privacy --- location privacy --- differentials in graphs --- strong differential --- quasi-total strong differential --- quasi-total Italian domination number --- numerical semigroup --- forest --- ordinarization transform --- quasi-ordinarization transform --- load redistribution --- leveling power consumption per phase --- three-phase asymmetric distribution networks --- ideal power consumption --- mixed-integer convex optimization --- strongly total Roman domination --- total Roman domination --- lexicographic product graph --- improved crow search algorithm --- normal Gaussian distribution --- phase swapping problem --- power losses --- asymmetric distribution grids --- vortex search algorithm --- nonidentical parallel production lines --- axle housing machining --- mixed model production --- eligibility constraint --- fuzzy due date --- grey wolf optimizer --- n/a --- Fermat's Factoring Algorithm
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Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in the swarm should have some basic functions, such as sensing, communicating, and monitoring, and satisfy the following properties:
n/a --- self-organization --- signal source localization --- multi-robot system --- sensor deployment --- parallel technique --- shape normalization --- genetic algorithm --- multiple robots --- optimization --- improved potential field --- optimal configuration --- autonomous docking --- asymmetrical interaction --- comparison --- behaviors --- patterns --- self-assembly robots --- congestion control --- surface-water environment --- target recognition --- coordinate motion --- UAV swarms --- formation reconfiguration --- swarm robotics --- swarm intelligence --- artificial bee colony algorithm --- obstacle avoidance --- fish swarm optimization --- search algorithm --- robotics --- time-difference-of-arrival (TDOA) --- formation --- mobile robots --- formation control --- meta-heuristic --- event-triggered communication --- search --- virtual structure --- 3D model identification --- surveillance --- event-driven coverage --- scale-invariant feature transform --- system stability --- Swarm intelligence algorithm --- bionic intelligent algorithm --- unmanned aerial vehicle --- underwater environment --- artificial flora (AF) algorithm --- swarm behavior --- weighted implicit shape representation --- Cramer–Rao low bound (CRLB) --- environmental perception --- particle swarm optimization --- modular robots --- cooperative target hunting --- virtual linkage --- multi-AUV --- consensus control --- panoramic view --- nonlinear disturbance observer --- sliding mode controller --- path optimization --- Swarm Chemistry --- multi-agents --- Cramer-Rao low bound (CRLB)
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The transition to 100% renewable energy in the future is one of the most important ways of achieving "carbon peaking and carbon neutrality" and of reducing the adverse effects of climate change. In this process, the safe, stable and economical operation of renewable energy generation systems, represented by hydro-, wind and solar power, is particularly important, and has naturally become a key concern for researchers and engineers. Therefore, this book focuses on the fundamental and applied research on the modeling, control, monitoring and diagnosis of renewable energy generation systems, especially hydropower energy systems, and aims to provide some theoretical reference for researchers, power generation departments or government agencies.
Research & information: general --- Physics --- doubly-fed variable-speed pumped storage --- Hopf bifurcation --- stability analysis --- parameter sensitivity --- pumped storage unit --- degradation trend prediction --- maximal information coefficient --- light gradient boosting machine --- variational mode decomposition --- gated recurrent unit --- high proportional renewable power system --- active power --- change point detection --- maximum information coefficient --- cosine similarity --- anomaly detection --- thermal-hydraulic characteristics --- hydraulic oil viscosity --- hydraulic PTO --- wave energy converter --- pumped storage units --- pressure pulsation --- noise reduction --- sparrow search algorithm --- hybrid system --- facility agriculture --- chaotic particle swarms method --- operation strategy --- stochastic dynamic programming (SDP) --- power yield --- seasonal price --- reliability --- cascaded reservoirs --- doubly-fed variable speed pumped storage power station --- nonlinear modeling --- nonlinear pump turbine characteristics --- pumped storage units (PSUs) --- successive start-up --- ‘S’ characteristics --- low water head conditions --- multi-objective optimization --- fractional order PID controller (FOPID) --- hydropower units --- comprehensive deterioration index --- long and short-term neural network --- ensemble empirical mode decomposition --- approximate entropy --- 1D–3D coupling model --- transition stability --- sensitivity analysis --- hydro power
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This book, Applications of Operational Research and Mathematical Models in Management, includes all the papers published in the Mathematics Special Issue with the same title. All the published papers are of high quality and were subjected to rigorous peer review. Mathematics is included in the Science Citation Index (Web of Science), and its current Impact Factor is 1.747. The papers in this book deal with on R&D performance models, methods for ranking the perspectives and indicators of a balance scorecard, robust optimization model applications, integrated production and distribution problem solving, demand functions, supply chain games, probabilistic optimization and profit research, coordinated techniques for order preference, robustness approaches in bank capital optimization, and hybrid methods for tourism demand forecasting. All the papers included contribute to the development of research.
tourism management --- hybrid method --- fruit fly optimization algorithm --- neural network --- web search data --- forecast of daily tourism demand --- optimization method --- robust optimization --- capital to risk asset ratio --- chance constraint --- safety-first principle --- Basel III --- capital requirements --- TOPSIS --- coordinated TOPSIS --- decision-making --- assessment --- coefficient of variation --- information entropy --- probabilistic analysis --- optimization --- Lagrange equations --- operations research --- bomb fragmentation --- digital supply chain --- smart contracts --- dynamic inventory --- revenue sharing contract --- dual-channel --- two sales periods --- channel structure strategy --- strategic consumers --- Nash game --- integrated --- production scheduling --- distribution --- large neighborhood search algorithm --- duality theory --- uncertain set --- logistics production --- inventory process --- balanced scorecard --- Bradley-Terry --- performance evaluation --- software factory --- multiple-criteria decision-making --- AHP --- value relevance --- book value --- abnormal earnings --- R & --- D --- panel data
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One of the most significant of the many challenges we face is how to sustain the production of food for a growing population without compromising the health of our planet. This book addresses the growing challenges of the interrelated issues of food security, social stability, and the increasing scarcity of the planet’s resources to propose sophisticated modeling innovations leading to practical approaches and solutions to multiple facets of these challenges.
tourism management --- hybrid method --- fruit fly optimization algorithm --- neural network --- web search data --- forecast of daily tourism demand --- optimization method --- robust optimization --- capital to risk asset ratio --- chance constraint --- safety-first principle --- Basel III --- capital requirements --- TOPSIS --- coordinated TOPSIS --- decision-making --- assessment --- coefficient of variation --- information entropy --- probabilistic analysis --- optimization --- Lagrange equations --- operations research --- bomb fragmentation --- digital supply chain --- smart contracts --- dynamic inventory --- revenue sharing contract --- dual-channel --- two sales periods --- channel structure strategy --- strategic consumers --- Nash game --- integrated --- production scheduling --- distribution --- large neighborhood search algorithm --- duality theory --- uncertain set --- logistics production --- inventory process --- balanced scorecard --- Bradley-Terry --- performance evaluation --- software factory --- multiple-criteria decision-making --- AHP --- value relevance --- book value --- abnormal earnings --- R & --- D --- panel data
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This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.
flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys --- n/a
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This Special Issue collects ten articles related to the broadly understood physical properties of intermetallic compounds. Differential thermal analysis was carried out, and the temperatures of thermal effects that arise during the reduction of neodymium from a technological salt mixture of KCl–NaCl–CaCl2–NdF3 with a magnesium–zinc alloy were established. For sol–gel products of stoichiometric MgTiO3, accurate thermal expansion coefficients were measured. The effect of various nanoparticles, such as GaF3, ZnF2, Zn(BF4)2 and Ga2O3 additions, on the activity of CsF-RbF-AlF3 flux and mechanical behavior of Al/Steel brazed joints is presented. The effect of Bi substitution on the structural and magnetic properties of Nd1-xBixMnO3 is investigated. Characteristics of hard magnetic materials based on Nd2Fe14B and Ce2Fe14B intermetallic compounds are presented. A special algorithm is presented to support vector regression for estimating the maximum magnetic entropy change of doped manganite-based compounds. We have received information about the mechanical properties of the reactively synthesized porous Ti3SiC2 compound with different apertures. Furthermore, we have presented the experimental results of Zn-doped Al-rich for fast on-board hydrogen production.
Ti3SiC2 --- intermetallic compound --- porous material --- mechanical property --- pore size --- elastic modulus --- Al-rich alloy --- hydrogen generation --- Zn addition --- Ga2O3 --- flux --- Zn-Al filler metal --- wettability --- spreadability --- magnetocaloric effect --- support vector regression --- extreme learning machine --- maximum magnetic entropy change --- gravitational search algorithm --- GaF3 --- CsF-AlF3 flux --- R-Fe-B intermetallics --- cerium --- permanent magnets --- simulation --- magnetic anisotropy constant --- hysteresis loop --- coercive force --- residual magnetization --- X-ray diffraction --- perovskites manganites --- AC magnetic susceptibility --- ZnF2 --- Zn(BF4)2 --- mechanical properties --- MgTiO3 --- geikielite --- high-temperature X-ray diffraction --- sol-gel technique --- thermal expansion --- magnesium–zinc–neodymium master alloy --- Mg–Zn–Nd --- magnesium master alloy --- magnesium --- rare-earth metals --- master alloy synthesis --- metallothermic reduction --- n/a --- magnesium-zinc-neodymium master alloy --- Mg-Zn-Nd --- Engineering --- Technology --- History.
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This book presents the latest solutions in fuel cell (FC) and renewable energy implementation in mobile and stationary applications. The implementation of advanced energy management and optimization strategies are detailed for fuel cell and renewable microgrids, and for the multi-FC stack architecture of FC/electric vehicles to enhance the reliability of these systems and to reduce the costs related to energy production and maintenance. Cyber-security methods based on blockchain technology to increase the resilience of FC renewable hybrid microgrids are also presented. Therefore, this book is for all readers interested in these challenging directions of research.
mobile charging station --- electric vehicle --- operational mode --- location-allocation problem --- battery --- capacitor --- differential flatness --- double-layer capacitor --- energy management --- interleaved converter --- nonlinear control --- second order equation --- supercapacitor --- multi-stack --- Polymer Electrolyte Membrane Fuel Cell (PEMFC) --- power electronics --- stability analysis --- microgrid --- LQR-PI control --- grid-tied mode --- current imbalance --- power quality --- genetic algorithms --- renewable energy --- consumer planning --- real-time strategy --- consumption monitoring --- energy storage systems --- renewable energy sources --- dynamic programming --- cascaded multilevel inverter --- photovoltaic --- leakage current --- IoT security --- Internet of Vehicles --- IoV --- connected car --- Blockchain Governance Game --- mixed game --- stochastic model --- fluctuation theory --- 51 percent attack --- double feed induction generator --- grid frequency and amplitude support --- smart grid --- wind technology (WT) --- load frequency control --- optimization issue --- moth flame optimizer (MFO) --- Harris hawks optimizer (HHO) --- fuel economy --- load-following --- switching strategy --- real-time optimization --- fuel cell vehicle --- fuel cell system --- automatic generation control --- controllers --- optimization techniques --- multisource power system --- interconnected power system --- hybrid gravitational with fire fly algorithm --- gravitational search algorithm --- firefly algorithm
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The energy and fuel industries represent an extensive field for the development and implementation of solutions aimed at improving the technological, environmental, and economic performance of technological cycles. In recent years, the issues of ecology and energy security have become especially important. Energy is firmly connected with all spheres of human economic life but, unfortunately, it also has an extremely negative (often fatal) effect on the environment and public health. Depletion of energy resources, the complexity of their extraction, and transportation are also problems of a global scale. Therefore, it is especially important nowadays to try to take care of nature and think about the resources that are necessary for future generations. For scientific teams in different countries, the development of sustainable and safe technologies for the use of fuels in the energy sector will be a challenge in the coming decades
soaring of fuel droplets --- gas robbing --- shale gas --- syngas --- municipal solid waste --- convection–diffusion equation --- skeletal mechanism --- anionic surfactant --- flow behavior --- enhanced oil recovery --- coal processing waste --- coal consumption forecasting --- energy production --- heating --- disintegration --- hydrate dissociation --- linear drift effect --- injection mode --- aerosol --- gas lift rate --- oil-controlling mode --- decorated polyacrylamide --- supercritical CO2 --- hydraulic fracturing --- closed-form analytical solution --- combustion --- forest fuels --- oil refining waste --- methane --- coal --- two-component droplet --- pore structure --- evaporation --- droplet holder material --- coal-water slurry --- gas lift optimization --- Bunsen burner --- improved gravitational search algorithm --- slurry fuel --- physical properties --- trajectories of fuel droplets --- mechanism reduction --- Mohr–Coulomb theory --- enhanced recovery --- structure evolution --- combustion chamber --- fractured reservoir simulation --- Qikou Sag --- tectonic coal --- explosive breakup --- split factor --- matrix-fracture transmissibility --- waste management --- ignition --- genetic mechanism --- Riedel shear --- biomass --- laser pulse --- dual string completion --- embedded discrete fracture model --- covert fault zone --- waste-derived fuel --- fuel activation --- transport of tracers --- grey relational analysis --- displacement mechanism --- support vector machine --- methane hydrate --- PTV method --- methane desorption --- composite fuel --- water retention in shale --- gas lift --- combustion mechanism --- anthropogenic emission concentration
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