Search results for ""Author Victoria M. Petrova""

This book compiles various recent advancements in engineering research. Chapter One deals with the important research problem of electric current processing and treatment of melts for increasing quality indicators of the produced castings. Chapter Two describes the use of computational fluid dynamics techniques to assess and design intensified distillation systems. Chapter Three examines machine learning opportunities for emerging memory and computing devices discovery. Lastly, Chapter Four details a case study in which an application of different approaches to missing data for short-term electric load forecasting by using an advanced gene expression programming algorithm is comprehensively introduced.

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This monograph consists of six chapters, each detailing a recent advancement in the field of engineering research. Chapter One proposes a new approach to the statistically proper analysis of the complex of the important mechanical properties such as tensile strength (), strain at break (), and Young's modulus (�) of high-strength high-modulus oriented polymeric materials. Chapter Two proposes an approach to solving inverse problems of economic analysis using weighting factors based on the representation of the problem as an optimization one. Chapter Three explains the introduction of new OS kernel internals for new metrics for the Distributed Computing Environment (DCE) and cloud performance prediction. Chapter Four presents an overview of the theory of transcranial magnetic stimulation (TMS) that includes the operation principle, the mathematical model for the effect of electromagnetic induction on neuronal cable, and developing an optimized design for the TMS system. Chapter Five analyses the implementation of two N3 compute-intensive embarrassingly parallel algorithms on multicore architectures using OpenMP and manycore architectures using OpenCL and CUDA to solve a problem of materials science (ie: the frequency of shears in the plastic deformation of metals). Lastly, Chapter Six deals with the main aspects of a multidisciplinary design optimization synthesis carried out for a novel spacecraft configuration able to perform a return mission from low Earth orbit, ending with a conventional landing on a horizontal runway.

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In the opening study of Advances in Engineering Research. Volume 34, five probability distributions which are currently used by researchers, including Normal, Log-Normal II, Gumbel, Pearson type III and Log-Pearson type III, are fitted to the values of ET0 and precipitation related to 30 synoptic stations of Iran with different climates. The authors discuss an energy efficient envelope tracking solution in a power amplifier system for demanding wireless standards. In a wireless transmitter, a huge portion of power is consumed by the power amplifier, and this generates the need for a power-efficient amplifier for longer battery run-time. The authors discuss the ways that may change the way air traffic controllers and others learn and work in air navigation, as well as how they can improve their workload thanks to the implementation of holographic radars. The various methods for the detection of accidental island formation are discussed, as well as the differences between the detection methodologies. Some of the main anti-islanding algorithms are evaluated by means of a MatLab/Simulink® platform employing a single-phase voltage source inverter designed for active power injection into the low-voltage distribution network, using solar photovoltaic as an energy source. The authors survey cryptographic keys management issues related to cloud computing deployment. This provides a critical analysis of cryptographic keys management in the cloud, and explores the most valuable solutions and recommendations used in real-world applications. This compilation also explores the design, preparation, testing and applications of thin-film thermocouples, particularly the tungsten-rhenium thin-film thermocouples proposed by Xi'an Jiaotong University. Later, the best probability distribution function is combined with a suitable plotting position formula in estimating the annual reference evapotranspiration. For this purpose, using meteorological data reported in 30 synoptic stations (1960-2014), the values of reference evapotranspiration were calculated by the FAO56 Penman-Monteith method based on reference conditions. The penultimate chapter studies how to realize double station navigation under the condition that we only know the path difference and the length of baseline between two stations. A one-dimensional equidistant double-base array is directly constructed, and the azimuth angle of the target is solved using the redundant calculation. The final study proposes a technique called "Data as a Service using Data Hibernation and Service Oriented Architecture" that plays a key role in the improvement of the cloud network by enforcing a pay-as-you-go concept.

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Advances in Engineering Research. Volume 32 opens by describing a general strategy for building Markov chain models and performing computational analysis of characteristics of the process, as well as showing a few examples of applying this approach to modeling mixing, grinding, fluidized bed, etc. Next, the configurations of gas channels and gas diffusion layers influences on the performance of polymer electrolyte membrane fuel cells are investigated. Additionally, a numerical method and an experimental method are realized to predict aeroelastic response and characteristic parameters of wing structure. The numerical method is based on coupled algorithms between computational fluid dynamics and computational structural dynamics. A Lagrangian expression based on the state equation of a class of nonlinear system is proposed to develop the corresponding functional. From this, a control law is developed, and by employing the classical Euler-Lagrange approach, the operation of the system was led to a critical point with success. Following this, a roadmap is presented to directly transition from cutting edge experimental and in-situ geospatial data-collection technology to a predictive computational model for volcanic lahars. The soil-pile-structure interaction plays an important role in assessing the vibrations internally generated within structures due to dynamic loads that could bring significant impacts on the structural behavior. As such, the effects of forces on the seismic response of three tall and massive building cases are investigated. In conclusion, research is presented on the joint effect of silica fume and nanosilica on the fresh and hardened properties of natural hydraulic lime-based grouts for mechanical strengthening of old stone masonry walls.

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Volume 37 opens with an analysis of the advantages and mechanisms of ink-jet printing techniques in negative temperature coefficient thermistor ceramics, mainly exploring the basic requirements to ink-jet print ceramic microspheres/beads. The authors go on to provide a brief historical review of the science of natural convection from vertical cylinders, followed by an in-depth review and summary of the major developments in the last 20 years. A survey of frequently encountered classes of convection systems is presented, as well as a cursory introduction to how the concepts and relations derived for a generalized buoyancy-induced flow system may be adapted to each. Solution optimization for task scheduling using a hybrid cuckoo algorithm is discussed. Cuckoo search is an effective algorithm focused on swarm intelligence, efficient for solving highly non-linear optimization problems. Subsequently, heat transfer characteristics of an open cubic cavity of side 0.034 m with thermally insulated side-walls, bottom at constant temperature and top open to the environment is studied experimentally. The authors present frequency domain equalization techniques for single-carrier and orthogonal frequency-division multiplexing. The described techniques are classic approaches including least squares, zero-forcing, and more. Following this a comprehensive design and implementation based on the STM32 microcontroller is proposed for a two-wheel self-balancing robot. In addition, mathematical modeling is performed based on the thermal behavior of an underground substation of an energy concessionaire in the southern region of Brazil. Lastly, an original architecture of residual neural network using skeleton data is proposed. A new complex linear layer aimed at retrieving the internal relationships of neural cells is discussed.

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Volume 35 first provides a classification scheme of assembly line balancing problems according to characteristic practical settings, highlighting relevant model extensions which are required to reflect real-world problems. Additionally, an assembly line balancing problem is introduced through designing an integrated assembly line and addressing the number of workstations and simultaneous assignments of skilled and unskilled workers. The authors describe an analogy between the methods of adaptive control used in classical control theory and practice on the one hand, and the methods of self-learning used in artificial intelligence systems on the other hand. In one study, a long short-term memory (LSTM) and a Bi-LSTM are proposed to use for classifying the activities of daily living. The accuracy of the proposed approach is evaluated against the current state-of-the-art methods. Two questions regarding very large-scale integration (VSLI) implementation of the X11 algorithm are addressed: how such algorithms are efficiently implemented at once, as well as whether it is possible to use the methods applied in such a VLSI in the implementation of more powerful VLSIs. The concluding study illustrates the azimuth concept in synthetic aperture radar through an analytical description of basic state of the art azimuth signal processing performed to generate synthetic aperture radar images.

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The first chapter describes the next generation device Stacked Nanosheet, which has the potential to replace the three-dimensional transistor architecture, FinFET. The authors also present the recent progress in complementary metal-oxide-semiconductor technology. Recent biomimetic research examined in the next chapter may enable for a better understanding of biofiltration as well as potential technological applications via experimentation with novel materials, including 3D printed filters simulating natural systems. The possibility of using methane as an alternative and promising reducing agent in various metallurgical and chemical processes is discussed. Additionally, the electrochemical performances of transition-metal-disulfide-based electrodes fabricated from different configurations, including binary and ternary composites, is discussed. Following this, this compilation discusses the assumptions of the physics of transport in nano-scale wire Si pn-junction diodes with the aid of device simulations. An advanced theoretical model to predict current-voltage characteristics of nano-scale wire Si pn-junction diodes is proposed. The authors introduce several voltage contrast studies that have been done so far, introducing an experiment on active voltage contrast imaging of the cross-sectional surface of multilayer ceramic capacitors using helium ion microscopy. Next, the authors present a new two-stage method for the qualitative and quantitative detection method of hydrophobing injection media used as a subsequent masonry seal against rising damp. The aim of the final chapter is to review four classes of integer asymmetric codes and to illustrate their potential for use in modern short-range optical networks.

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This volume includes seven chapters presenting recent advancements in engineering research. Chapter One investigates soybean processing to identify the best technologies to transform soybean byproducts into new products. Chapter Two provides an overview of intrinsically conducting polymers-based electrochemical sensors as quick and easy diagnostic tools for bacterial infection control. Chapter Three presents a programmable logic controller/human-machine interface-based logic design laboratory platform for computer science and electrical engineering students. Chapter Four evaluates artificial neural network systems for bioengineering systems and industries. Chapter Five determines the efficacy of multi-walled carbon nanotubes for the adsorptive removal of acrylic acid from water. Chapter Six deals with regulating the direction of movement of air contaminated with dust, smoke, and soot in worship halls. Lastly, Chapter Seven aims to explore different domains where non-quantum and quantum resources co-exist and non-classicality arises in different forms.

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This volume includes six chapters, each of which provides updates in the field of engineering research. Chapter One reviews how cognitive radio schemes such as spectrum pooling among others improve the use of millimeter waves in mobile networks. Chapter Two introduces coupling theory and exhibits two manipulation methods for array antennas. Chapter Three describes a hardware implementation of a Simplified Gabor Wavelet transform-based approach for edge detection in image processing. Chapter Four presents a model of using multiple factor analysis and grouping to estimate the disparities in crop production development among different regions. Chapter Five models a cybernetic attack using colored petri nets to modify and delay the transmission of messages. Lastly, Chapter Six presents data mining techniques applied to a road traffic accidents database in Morocco to analyze choke points and intersection types that caused previous accidents.

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This volume contains six chapters describing some of the latest advancements in engineering research. Chapter One presents a detailed methodology to evaluate bio-based projects, including financial, technical, and market uncertainties at the early stages, when less information is available. Chapter Two analyzes the latest scientific articles and reports which deal with the adverse consequences of 5G network development. Chapter Three explains how new technologies, including downlink and uplink decoupling and machine learning, can support 5G networks and form core components of future networks. Chapter Four presents the latest research results on the advantages and challenges of non-orthogonal multiple access networks. Chapter Five explores the four largest South Korean shipyards, analyzing their strategy and management techniques. Lastly, Chapter Six examines the factors affecting the choice of welding method in the basic stages of shipbuilding.

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Advances in Engineering Research. Volume 33 opens by describing a general strategy for building Markov chain models and performing a computational analysis of characteristics of the process, as well providing a few examples of the applications of this approach. Adaptive differential evolution algorithms are compared with the conventional genetic algorithm in the optimization and identification of the parameters of power electronics systems and electric drives. The authors investigate the impact of a particular flow parameter on mixed flow turbine loss generation and performance, aiming to determine the optimum condition of the turbine operation with respect to the Reynolds number. The effect of the rotor trailing-edge blade angle on mixed flow turbine performance under steady flow conditions is examined. For this end, six mixed flow rotors having different trailing-edge blade angles are numerically designed. Computational fluid dynamics simulations are carried out using the Ansys CFX package. Lastly, a preliminary evaluation and analysis of the structural condition of the Old Church of Saint Andrew is examined. The current study is beset with a multitude of difficulties due to insufficient of technical data. For this reason, an in situ detailed drawing survey is conducted, and the mechanical characteristics of the structure are determined.

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This book includes nine chapters detailing recent advances in engineering research. Chapter One considers the factors affecting fuel consumption in the open pit mining model by investigating the existing equipment and machinery, and examines the results and consequences of reducing the effects of fuel mismanagement and increasing energy efficiency. Chapter Two aims to address the coaxial mixer principle and comprehensively discuss its agitation mechanism applied to the single and multiphase flows considering Newtonian and non-Newtonian fluids. Chapter Three presents a methodological framework for the implementation of Geographic Information Systems (GIS) for the management of cultural heritage. Chapter Four considers 182 licensed wind farms that are under operation in various parts of Turkey using the Data Envelopment Analysis. Chapter Five discusses the influence of cooling rate on microstructure evolution and mechanical properties for a thermomechanically processed near eutectoid steel, particularly with Nb microalloying. Chapter Six concerns a non-standard multicopter design. Chapter Seven reports on pulse generation via mode-locking and Q-switching. Chapter Eight proposes an energy-efficient write scheme for phase change memory. Finally, Chapter Nine reveals the orbiting satellite dynamics in the form of nonlinear stochastic differential equation (SDE) and state vectors.

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This compilation comprises eight chapters that each present a particular advancement in engineering research. Chapter One describes four theories of heat transfer analysis and optimization and analyzes the positive and negative aspects of each theory. Chapter Two presents some of the main maximum power point tracking (MPPT) algorithms and evaluates some of them through a MatLab/Simulink® platform. Chapter Three discusses eye tracking technology, one of the most direct and continuous measures of attention, and its potential applications in manufacturing environments. Chapter Four focuses on the fundamentals of model predictive control and its application to multiphase electric drives for use in electric vehicles. Chapter Five presents a systematic design of a fully differential Gain-Boosted telescopic amplifier. Chapter Six deals with a method for evaluating the fine motor skills and hand-eye coordination of assembly line workers using eye-tracking technology. Similarly, the seventh chapter proposes a method of using eye-tracking technology to help understand the underlying cognitive processes of participants tasked with answering computer science questions. Finally, the eighth chapter addresses two popular problems in mechanical engineering from an inverse problem perspective.

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Volume 36 explores how the coordinated operation of various sources, usually renewable ones with energy storage, is integral to hybrid power systems. Hybrid power systems may vary from few watts to moment magnitude-scale providing energy services. This compilation also approaches for the optimisation of looped water distribution networks supplied from one or more sources, according to demand variation. In one study, 1-degree of freedom and 2-degree of freedom proportional-intergral-derivative and fractional order proportionalintegral-derivative controllers have been designed and applied for the control of a Maglev system. The parameters of the 1- and 2-degree of freedom proportional-intergral-derivative and fractional order proportional-intergral-derivative controllers are tuned by the Cuckoo Search algorithm based on the swarm intelligence approach. In the penultimate chapter, the effect of neglecting either one accumulation term in the energy balance or the energy balance all together in numerical predictions is investigated. Finally, we consider the batch rectification of an acetic acid-water-ethyl acetate ternary mixture. Additionally, the authors discuss management cost analysis, a procedure that can cause major impacts on the economy of a particular activity. Constant observation and efficient monitoring are important to the estimated costs in the planning of mining.

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