Targeted
Pure, undeniable, sinister personalities today are at the helm of brilliant, advanced psychophysical technologies, who are inhumanely destroying the lives of men, women, and children. They are devoid of compassion believing it cannot be proven and this mentality officially sanctioned.Neuroweapons, Nanotechnologies, the Brain Computer Interface (BCI), Artificial Intelligence (AI), the planned future goal of Transhumanism are the foundation of ongoing human experimentation generation to generation. Testing has exploded progressing humanity towards what many experts consider "Digital Slavery".Pittman is left no choice but to continue exposing this program while under ongoing beamed assaults and high-tech terrorism, death threats to her and her family, combined with relentless efforts to tarnish her reputation.The historic FBI horrific discrediting of actress Jean Seberg, Martin Luther King, and others remains a highly effective tactic that is still used today with the exception of the widespread use of PATENTED, mind invasive technology designed to influence anyone useful which is the high-tech game changer.For Pittman, as a result, of publication of this seventh book, the deadly beamed weapon assaults game plan switched tactics. Yes, the military, FBI COINTELPRO, LAPD dirty cops' division still wants Pittman permanently silenced but with a twist.In Pittman's case, after publishing this book the subliminal influence of family, specifically her youngest adult daughter, began. This occurred through the high-tech recreation of an exaggerated event during divorce proceedings when she was a mere 3 years old, as having witnessed child abuse which was motivated by her father for custody well over 20 years ago. Also noted during text messages was this daughter saying she wish she was never born in the messy divorce situation, which immediately led to taunting to influence this daughter to commit suicide.The goal today, while official personnel monitor texting, sitting at the helm of a nefarious space-based system is to get documention by text message something useful which this program believes will serve them later. The obvious goal is, if Pittman is strategically murdered, the agencies mentioned as involved will leak accusations of child abuse. There has been an ongoing hope to effort to have this book series, her blogs and website taken down which, at her demise, her family would be influenced to do as well as the heirs.There are several articles detailing that memories can be and are being erased with new ones created as part of ongoing human experimentation. In fact, an article titled "Scientists discover how to implant false memories," Big Think, dated June 2016, the excerpt reads, "Implanting false memories could cure Alzheimer's, PTSD, and depression. It could also make scapegoating easier, allow for witness tampering, or give those under a brutal dictatorship false patriotism."The fact is, IF Pittman or any member of her family dies, this program, using beamed psychophysical weapon systems, that can manipulate and influence, anyone, anywhere on the face of the Earth is the culprit with those involved in this program, official covert, monstrosity, 100% responsible.Today the covert, high-tech destruction of lives across the country is happening rapidly. For instance, using the Hendricus Loos sexual stimulation patent, akin to Frankenstein science, the influence and creation of homosexuality is rampant, documented in this series previously, again, backed by subliminal influence of many public figures. Many unaware of the covert use or focus on them, in this decades long Nazi originated program are being systematically destroyed right before our very eyes combined with their choice to follow beamed influence.Make no mistake, THEY will Kill!
Advanced Concrete and Construction Materials
The reprint Advanced Concrete and Construction Materials offers a comprehensive exploration of cutting-edge research and critical insights into the dynamic field of construction materials and structural engineering. This meticulously curated volume delves beyond the traditional perceptions of concrete, examining transformative microstructures and alternative binders, which hold immense potential for revolutionizing construction practices and reducing the carbon footprint of concrete.Comprising ten diverse studies, the reprint tackles pivotal sustainability, durability, and innovation issues within the construction industry. From enhancing the strength and durability of fly ash aggregate concrete with nanosilica to exploring the utilization of waste tires for reinforcing concrete columns, each contribution offers valuable insights and showcases innovative approaches. Additionally, the reprint delves into numerical modeling techniques for specialized cementitious composites and evaluates the viability of utilizing water-treatment sludge as a sustainable alternative to clay in fired clay bricks.A valuable resource for academic professionals and researchers, this collection underscores the significance of advancing construction materials. By providing a platform for groundbreaking research and critical reviews, it encourages scholars to contribute to the ongoing discourse, thereby shaping the future of construction.
Fractional Order Systems with Application to Electrical Power Engineering
This Special Issue of Fractal and Fractional entitled "Fractional Order Systems with Application to Electrical Power Engineering" showcases the latest research in fractional-order system applications for power engineering. Highlighting fractional calculus's role in modeling, design, analysis, and control, this Special Issue focuses on power electronics, electric motor drives, power systems, and more. Fractional calculus, known for modeling complex dynamic behaviors with higher precision than traditional methods, introduces memory properties and historical dependence, enhancing design flexibility. Covering a range of topics from modeling and simulation to robust control strategies and energy efficiency, this Special Issue places a special emphasis on frequency and voltage control, along with stability in fractional-order energy systems. It addresses the integration of power converters, power quality, and reliability, offering insights into improving performance and resilience in energy systems. Targeted at professionals in electrical and power engineering, this collection enriches the academic and practical discourse, providing solutions to contemporary challenges in system design and optimization. It stands as a significant contribution to advancing fractional-order systems, underscoring their importance in energy system efficiency and stability.
Additive Manufacturing of Polymer Composites
Three-dimensionally printed composites offer the opportunity for the rapid manufacture of complex components with bespoke material architectures that can be designed to prioritise performance in specific regions whilst focusing on weight savings elsewhere. Recent research in this field has demonstrated tremendous progress in overcoming some of the technical challenges associated with creating continuous fibre composites using additive manufacturing, and new-to-market commercial printers offer the promise of broader adoption of these materials. Some of the remaining key challenges limiting widespread use are an understanding of the key mechanisms of failure and how these materials perform over the long term in a wide range of environments. This Special Issue features articles showcasing the latest research in the additive manufacture of polymer composites.
Building's Vulnerability Assessment against Natural Hazards by Using Modern Computational Techniques
Recent global events have underscored the critical need for advancing research on buildings and fortifying their resilience against the escalating threat of natural hazards. One paramount task in this pursuit is the rapid and precise assessment of existing buildings' vulnerability to natural hazard activities-a crucial endeavor that demands simplicity, efficiency, and cost-effectiveness. The dispersion of big data and the complexity of conducting a detailed construction analysis can hinder the expeditious identification of vulnerable structures, especially in the face of a large-scale mitigation campaign. This Special Issue focuses on the development and application of modern computational techniques in the assessment of a building's vulnerability to natural hazards. This collection explores innovative methods, such as artificial neural networks and fuzzy logicmachine learning, which have demonstrated unparalleled efficiency in dealing with big data and capturing non-linear relationships among various parameters affecting a building's resilience against earthquakes, floods, and other natural disasters. The articles within this Special Issue delved into the practical implementation of these soft computational techniques, offering insights into their reliability and applicability. By bridging the gap between traditional construction analysis and the urgency of identifying vulnerable buildings, this Special Issue aims to pave the way for a fast and reliable methodology that aligns with the demands of our dynamic urban landscapes.
Improvement Technology on Building Seismic Toughness
This Reprint focuses on recent studies on the seismic performance evaluation and improvement of infrastructures, including buildings and bridges. The development and application of base isolators and dampers to enhance the seismic resilience of structures is of particular interest. In addition, multi-hazard assessment considering earthquakes and other hazards such as fire and pedestrian-induced vibration is another interest. The adopted research techniques include the traditional finite element method, experimental tests, and the up-to-date machine learning-based approach.
Computational Intelligence in Remote Sensing
With the advancement of Earth observation techniques, vast amounts of high-resolution remote sensing data are continually captured, proving instrumental in fields such as geography, environmental monitoring, disaster management, and more. However, challenges such as data volume, complex structures, limited labeled samples, and non-convex optimization persist in processing and analyzing remote sensing data. Computational intelligence techniques, inspired by biological intelligence systems, offer potential solutions to these challenges. Computational intelligence (CI) is the theory, design, and application of biologically and linguistically motivated computational paradigms. Traditionally centered around neural networks, fuzzy systems, and evolutionary computation, CI has expanded to include various nature-inspired computing paradigms. These paradigms encompass ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a vital role in developing intelligent systems, including games and cognitive developmental systems. Recent years have seen a surge in deep learning research, with deep convolutional neural networks becoming a core method in artificial intelligence. Many successful AI systems today are based on CI, and it is anticipated that CI will provide effective solutions to challenges in remote sensing in the future.
Computational Intelligence in Remote Sensing
With the advancement of Earth observation techniques, vast amounts of high-resolution remote sensing data are continually captured, proving instrumental in fields such as geography, environmental monitoring, disaster management, and more. However, challenges such as data volume, complex structures, limited labeled samples, and non-convex optimization persist in processing and analyzing remote sensing data. Computational intelligence techniques, inspired by biological intelligence systems, offer potential solutions to these challenges. Computational intelligence (CI) is the theory, design, and application of biologically and linguistically motivated computational paradigms. Traditionally centered around neural networks, fuzzy systems, and evolutionary computation, CI has expanded to include various nature-inspired computing paradigms. These paradigms encompass ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a vital role in developing intelligent systems, including games and cognitive developmental systems. Recent years have seen a surge in deep learning research, with deep convolutional neural networks becoming a core method in artificial intelligence. Many successful AI systems today are based on CI, and it is anticipated that CI will provide effective solutions to challenges in remote sensing in the future.
Bio-Inspired Smart Machines
By imitating certain characteristics of creatures in nature, such as grasp, twist, locomotion, or flying, etc., bio-inspired smart machines can engage in certain difficult tasks instead of human beings, such as medical surgery, rapid manufacture and assembly, disaster search and rescue, and scientific investigation, and this has become one of the most interesting areas in the robotics community. This reprint focuses on the latest theoretical and technological advances in bio-inspired smart machines and their structure, mechanisms, and applications. Generally, bio-inspired smart machines can be divided into two categories: rigid machines and soft machines. Rigid machines are composed of different rigid components assembled together, and the joints are mainly driven by electric motors or hydraulic means. In soft machines, the rigid hinges and bolts together with the body structure are replaced by soft components usually made from stimulus-responsive materials that change shape in response to stimuli. The whole reprint consists of eighteen research articles, which include state-of-the-art research on bio-inspired smart machines and their subsystems and components, such as bio-inspired rigid machines, soft machines and robotics, active materials, controls, sensors and actuators, structure and modeling, etc., and can provide a reference for researchers in related fields, including but not limited to robotics, soft robotics, intelligent control, intelligent sensing, etc.
Power Button
Push a button and turn on the television; tap a button and get a ride; click a button and "like" something. The touch of a finger can set an appliance, a car, or a system in motion, even if the user doesn't understand the underlying mechanisms or algorithms. How did buttons become so ubiquitous? Why do people love them, loathe them, and fear them? In Power Button, Rachel Plotnick traces the origins of today's push-button society by examining how buttons have been made, distributed, used, rejected, and refashioned throughout history. Focusing on the period between 1880 and 1925, when "technologies of the hand" proliferated (including typewriters, telegraphs, and fingerprinting), Plotnick describes the ways that button pushing became a means for digital command, which promised effortless, discreet, and fool-proof control. Emphasizing the doubly digital nature of button pushing--as an act of the finger and a binary activity (on/off, up/down)--Plotnick suggests that the tenets of precomputational digital command anticipate contemporary ideas of computer users. Plotnick discusses the uses of early push buttons to call servants, and the growing tensions between those who work with their hands and those who command with their fingers; automation as "automagic," enabling command at a distance; instant gratification, and the victory of light over darkness; and early twentieth-century imaginings of a future push-button culture. Push buttons, Plotnick tells us, have demonstrated remarkable staying power, despite efforts to cast button pushers as lazy, privileged, and even dangerous.
Technology and Christianity
The Enlightenment of the 18th century ushered in a new order of the ages, one in which man displaced God as the central focus of both thought and practice. This has had consequences. For one thing, man has taken up the supposedly vacated role of Providence. How has he done it? Not least by gaining an increasing mastery over nature, a mastery enabled by technology. The tools provided by technology have undeniably brought great blessing, but they have also brought new and unprecedented problems. Such powerful tools have given mankind opportunities for good but also for evil, and he has taken advantage of both.In this series of articles written and published over a period of 50 years, Egbert Schuurman elucidates this complex and difficult relationship. Technology has generated a material culture capable of providing undreamed-of wealth and welfare but likewise has brought labor displacement, environmental damage, weaponry of devastating destructive capacity, and possibilities of societal control only dreamed of by history's tyrants. Schuurman expands on all of these consequences, and he does so from a unique perspective, that of the once-dominant but since-displaced perspective of Christianity. In doing so, he demonstrates not only that there are opportunities as well as difficulties involved in the ever-expanding dominance of technology, but also that Christianity can provide the framework for properly assessing and implementing the responsible application of technology. But for this to happen, the sorcerer's apprentice needs to recognize his utter dependence on his Creator and Redeemer.
Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition
This reprint aims to immerse the reader in the latest research and applications of deep learning and neural networks in image recognition. Deep learning algorithms are the major driving force behind recent advances in image classification. The success of deep learning is powered by two crucial issues: large-scale training datasets and powerful computational platforms. In most cases, the performances obtained by deep neural networks are much better than those of hand-crafted delicate image features. Yet, despite the great success of deep learning in image recognition, numerous challenges remain. This Special Issue aims to present new solutions to these challenging problems.
Traffic Calming Measures as an Instrument for Revitalizing the Urban Environment
Urbanization challenges cities with traffic, pollution, and reduced public spaces, affecting life quality. Traffic calming measures address these, focusing on safety and environmental improvement. Beyond regulating car traffic, they create pedestrian zones, promote cycling, and enforce speed limits, aiming to achieve a safe, sustainable, and comfortable environment, especially for vulnerable people, such as children and the elderly.These measures impact more than road safety, influencing public health, social cohesion, and urban life. They encourage healthier lifestyles and community connections. They contribute to liveable cities, not just limiting traffic but nurturing urban life.Implementing these measures requires collaboration among local authorities, citizens, and private sectors. Despite challenges, their long-term benefits in revitalizing cities and responding to modern challenges are significant. They promote city sustainability, health, and vitality, integrating road safety into enriching lifestyles.This Special Issue examines strategies for urban traffic safety and sustainability. It covers pedestrian safety, speed control, infrastructure and traffic interaction, and the effectiveness of traffic circles and roundabouts in residential areas. It advocates for holistic urban designs for safety, efficiency, and enhancement, including sustainable streets, shared spaces, and connected vehicles, reflecting a forward-thinking urban planning approach.
Risk Management Technologies for Deep Excavations in Water-Rich Areas
In coastal areas, the groundwater level is relatively shallow and the strata are mostly saturated silt or soft soil. As such, it is difficult to carry out the construction of urban underground infrastructure in these strata, especially during the construction stage of deep excavations. Safety issues in terms of excavation deformation, continuous deformation of retaining structures, and settlement of surrounding buildings often occur, leading to an increasing risk of deep excavation constructions, which is concealed, continuous, disaster-prone, and rapid. This reprint reports many new advances in risk management technologies for deep excavations in water-rich areas and their applications.
Optimized Speed Control Strategies of BLDC Motor Drive
This book presents a broad explanation on the effect of performance of an open-loop and closed loop control of a Brushless Direct Current (BLDC) Motor drive supplied from a two-level voltage source inverter (VSI) working on 120-degree mode of conduction, simulated in MATLAB based software for both No-load and load condition. BLDC motors are superior to other motors because of the high reliability, good efficiency, high power concentration, simplicity of control and mainly the brushless operation. It is found that by tuning the value of rotor position the variation in torque can be minimized. Different performance parameters for no-load and load condition of the BLDC motor like phase voltages and currents, speed, electromagnetic torque, direct-axis, quadrature-axis current and rotor position etc. are determined in MATLAB environment. This book focuses on exploring and estimating the efficiency of a continuous brushless DC motor (PMBLDC) drive, controlled by a current controller with various combinations of Classical Controllers as Proportional Integral, Genetic Algorithm based PI, Proportional Integral Derivative Controller. Typical PWM operated control strategy is applied in the conventional two-level voltage source inverter (VSI) fed permanent magnet (BLDC) motor to minimize the torque ripple. As the inner current loop should be ahead in procedure associated with the external speed loop, thus PI controllers are mostly chosen as a current controller. These controller gains are enhanced by means of two optimization methods of Particle swarm optimization and Genetic algorithm to get a better response by eliminating steady-state error, maximum peak overshoot and decreasing the rising time, peak time, of the projected Brushless Direct Control motor drive.
Nuclear and New Energy Technology
This Reprint of this Special Issue addresses various aspects of technology development and enhancement of nuclear energy systems, including design, subsystems, operational safety, and efficiency improvement. Additionally, it contains research results in energy storage and controlling systems and technologies for solar power plants, reflecting the broader scope of innovation within the energy sector. High-quality articles were prepared by scientists working at universities from different countries, including China, Hungary, Russia, Japan, Korea, and the UK.
XXXI Conference on Electrical and Electronic Engineering
The XXXI JIEE-2023 was a space for collaboration between the academic community and the energy, telecommunications, and automation sectors, where the EPN shows the technological advances and challenges that the community tackled in several research related to telecommunications, electronics, information technologies and electrical engineering. Among the main topics faced in the Conference were: i) smart grids, ii) modeling and simulation of power systems, iii) deployment of novel technologies for planning and operating power systems, iv) renewable energy and storage, v) automation, vi) robotics, vii) power electronics, viii) control, ix) wireless technologies, x) radio frequency, xi) radar applications, xii) mobile communications. In addition, this was a space to share with the academic and industry community, the novel researchers worldwide in topics related to power systems, telecommunications, control, and information technology. For this aim, special key notes from international experts were organized as part of special tutorials. This reprint contains the scientific papers presented in the XXXI JIEE-2023, which summarizes the results of important research projects performed at Escuela Polit矇cnica Nacional, Quito - Ecuador as well as other universities and industries, related to power systems, telecommunications, electronics, control, and information technology.
Advancing Global Health
Advancing Global Health: Leveraging AI for SDG Goal 3 offers an exploration into the intersection of global health and artificial intelligence (AI). With Sustainable Development Goal (SDG) 3 aiming to ensure healthy lives and promote well-being for all at all ages, this book investigates how AI technologies are revolutionizing healthcare delivery, disease prevention, and health equity worldwide. Through a synthesis of cutting-edge research, case studies, and expert insights, it illuminates the transformative potential of AI in addressing pressing health challenges, from infectious diseases and maternal mortality to chronic conditions and mental health disorders.
Digital Senegal for Inclusive Growth
Senegal, like all African countries, needs better and more jobs for its growing population. The main message of Digital Senegal for Inclusive Growth is that broader use of productivity-enhancing technologies by households and enterprises can generate such jobs, including for lower-skilled people. Adoption of better technologies can support both Senegal's short-term objective of economic recovery and its vision of economic transformation with more inclusive growth. But this is not automatic. This book leverages a novel survey instrument that measures adoption of technologies at the firm level. Results from this survey show that there is a large average technological gap in Senegal relative to firms in Brazil, in the range of 36 and 30 percent for extensive (whether firms use it at all) and intensive (the most frequently applied) uses of better technologies such as for business administration. Except for a small number of firms, enterprises still mostly use manual, analog technologies to perform general and sector specific business functions. Micro-size informal enterprises lag even further. The benefits from technology adoption are significant. Digital technologies are an enabler of economy-wide productivity and jobs growth by catalyzing adoption of complementary technologies, including many not accessible without digital infrastructure. For households, mobile internet coverage is associated with 14 percent higher total consumption, as well as a 10 percent lower extreme poverty rate--and jobs with higher earnings. Firms with better technologies have higher levels of productivity, generate more jobs, and increase the share of lower-skilled workers on their payroll, on average: an increase in technological sophistication across general business functions that the firm uses most intensively, such as using standard software rather than writing by hand for business administration, is associated with a 14 percent higher jobs growth rate. For these and other inclusive growth benefits to be realized, Senegal should focus on ensuring availability of affordable digital infrastructure and implementing targeted incentives to promote use by firms of better technologies as well as policies to narrow deepening digital divides across enterprises and households.
Awareness level and prevention of Dengue among the students of Bula national school of fisheries
Academic Paper from the year 2023 in the subject Biology - Diseases, Health, Nutrition, language: English, abstract: This paper describe the demographic profile of the students and the level of Dengue awareness and prevention among them. It also determines the significant difference in the level of dengue awareness when classified according to gender, grade level, and socioeconomic status, and the significant relationship between the level of dengue awareness and the level of dengue prevention of students. Dengue the mosquito borne disease is a growing health treat in a whole world. The lack of awareness and prevention in dengue can cause a lot of problems. This study used a descriptive normative survey and the use of simple random sampling to gain a lot of information from an individual or a group perspective. Results found that the distribution of respondents according to grade level and gender is widely from grade 6 and is mostly female. Also the students of BNSF have a moderate level of dengue awareness and prevention. Furthermore, there is no significant difference in level of awareness according to grade level, gender, or socioeconomic status. The outcome also found that the relationship between the level of dengue awareness and the nature of illness, early symptoms and cause is not significant. These findings suggest that having a program like orientation and seminar can improve the students knowledge and awareness. Fogging and the use of insect repellent are effect ways to prevent dengue disease.
Learning theories
Dear Readers, We invite you to permeate the advances in Information and Communication Technologies (ICTs) from the perspective of educational changes, especially in the implementation of semi-presential courses in higher education. Connectivism emerges in this context as a new educational approach. This theory proposed by George Siemens and Steven Downes (2004) points out that knowledge is distributed in a network of connections and that learning therefore consists of the ability to build these networks and circulate in them, thus developing the ability to reflect, decide and share. In this investigative journey, new perspectives imposed by the connectivist theory emerged that were necessary for a better understanding: the constant traffic through learning theories for comparison purposes, the heutagogical and andragogical models of learning, knowledge in networks and the instructional design of distance learning courses. Thus, the approach relied on the theoretical contribution and ideas of Siemens, Downes, Zezina Belan, Vani Moreira Kensky, Andrea Filatro, Jose Manoel Moran, Augusto de Franco, Jean Piaget, Skinner and others who provided an interdisciplinary character to the research.
Analysis of financial viability of Aquaponic Systems in the Ashanti region
Bachelor Thesis from the year 2021 in the subject Agrarian Studies, Kwame Nkrumah University of Science and Technology (Kwame Nkrumah University of Science and Technology), course: BSC Agribusiness, language: English, abstract: Increasing demand on water resources, reduced land water availability, and concerns over food security have spurred the evolution of many innovative and complex food production. Aquaponics is known to be a productive, innovative, and sustainable fish and vegetable production system that is revolutionizing agriculture in the face of drought, soil fertility losses, and climate change. It is an advanced aquaculture-agriculture system, expected to improve food security in developing countries. However, as an emerging technology, there is very limited information on the system in Ghana. Questions about the financial viability, ecological and socio-economic sustainability of Aquaponics are answered in this comprehensive review. This study considers Aquaponics projects in Ashanti Region, looks at the technology, the type of fish and plant yields, and juxtaposes the technology within best-use practices to make recommendations that will inform evidence-based policymaking and highlights the system's contribution to improving food security in the Ghana. This study assessed the financial viability of the Aquaponics system using data obtained from Aquaponics farmers in the Ashanti Region. The initial investment, revenues, benefits cost ratio (BCR), net present value (NPV) using 5 years, internal rate of return (IRR), payback period and accounting rate of return (ARR) were modelled to determine the financial viability of the Aquaponics system. The result indicated that Aquaponics system operation is financially viable. Two fish species (catfish and tilapia) were considered for this study due to consumers' preferences. The most pressing constraint in the study area is high feeding cost followed by power fluctuation and high mortality rate as the least cons
Advances in Thermal and Mechanical Properties of Polymeric Materials
As Guest Editors of the Special Issue "Advances in Thermal and Mechanical Properties of Polymeric Materials", we congratulate all the authors of the published works and thank the reviewers for their time and invaluable comments and suggestions that raised the rank and substantive value of this reprint. We also thank the Editors-in-Chief of Materials for the opportunity to collaborate with the journal, as well as the Section Managing Editor, Ms. Fay Liu, for her kind support and cooperation.We work as associate professors at the Faculty of Mechanical Engineering and Computer Science at Czestochowa University of Technology. Our scientific interests include polymeric materials and their composites, in terms of thermomechanical tests. Therefore, we decided to open this Special Issue, which turned out to be a huge success. Its goal was to publish innovative papers dealing with the issues of the thermomechanical properties of polymers and composites, structure of polymeric materials, combustion and co-combustion of polymeric materials with fuels and waste, thermal analysis of materials, emission of pollutants during thermal processes, modeling and computer simulation of polymeric material property changes, modeling and computer simulation of exploitation and thermal processes, and recycling of polymeric materials. In this reprint, we emphasized the essence of these issues.We encourage you to read this reprint.
Automatic Speech Recognition and Understanding in Air Traffic Management
Automatic Speech Recognition and Understanding (ASRU) has the potential to reduce air traffic controllers' (ATCos) workload and to enhance air traffic management (ATM) safety. Automatic Speech Recognition (ASR) transforms voice signals into a sequence of words, e.g., "speed bird four one six descend flight level one two zero". Automatic Speech Understanding extracts the meaning from this word sequence, e.g., that the aircraft with the callsign "BAW416" should "DESCEND" to roughly "twelve thousand feet". The Special Issue contains 12 articles authored by 54 different authors, working for 23 institutions that are located in 13 countries on four continents. These articles discuss (a) ontologies for modeling words and semantics, (b) the extraction of aircraft callsigns and complex commands, (c) ASRU support for ATCos through callsign highlighting, the filling of aircraft radar labels and flight strips for approach, tower, and apron environments, (d) supporting simulation pilots, (e) speech activity detection, speaker role classification, natural language processing, English language identification, (f) combining ASRU with surveillance data, (g) joining speech and gaze data, and (h) a safety assessment.
Current Advances on the Assessment and Mitigation of Fire Risk in Buildings and Urban Areas - 1st Edition
Fire safety within residential buildings and urban environments is a pressing global concern, demanding dynamic and comprehensive strategies for effective risk assessment and mitigation. The Special Issue reprinted in this collection is the first of a series of Special Issues edited by the Fire journal to provide researchers with a platform to showcase cutting-edge developments in this critical area.Authored by researchers and practitioners from Europe, Asia, and Australia, the thirteen contributions that compose this first volume collectively offer a comprehensive perspective on fire safety, illustrating the global relevance and the imperative need for innovative risk assessment and mitigation strategies. This first volume sets the stage for subsequent Special Issues, showcasing cutting-edge developments and fostering collaborative efforts to address the evolving challenges in fire safety.
Recent Advances in Polymer Processing
Explore the forefront of polymer processing with our Special Issue, a curated collection of cutting-edge research and reviews focusing on the machining processes of polymers. Delve into the intricate correlations between processing parameters, surface quality, and material removal mechanisms, unlocking the full potential of polymers in aerospace, optical engineering, and biological engineering. Authored by leading experts in the field, this compilation promises a detailed exploration of the state of the art, offering invaluable insights for researchers and industry professionals alike. Elevate your understanding of polymer processing and contribute to the future of materials science. Join us in advancing the boundaries of knowledge in this stimulating field.
Testing of Materials and Elements in Civil Engineering (3rd Edition)
This reprint was proposed and organized as a means to present recent developments in the field of material and element testing in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of the testing of materials and elements in civil engineering, from building materials to building structures. The current trend in the development of material testing in civil engineering is mainly concerned with the detection of flaws and defects in elements and structures using destructive, semidestructive, and nondestructive testing.
Application of Information Theory to Computer Vision and Image Processing
World perception is the product of complex optical and physical processes in the human visual system, wherein light stimuli penetrate the pupils to reach the retina, which are composed of photoreceptors that transform light into electrochemical energy to be transmitted to the brain for organization, interpretation, and analysis of the received information and to recreate the perceived reality. Using similar optical and physical processes, machine vision is the eyes of cybernetics systems and allows for the virtual and real worlds to coexist in human lives, thus integrating these technologies into our daily lives for improved creativity and globalization through interconnectivity. This is possible due to the ability of advanced sensor and system technologies to acquire and compute information. Such tasks are based on the integration of optoelectronic devices for sensors and cameras. Sensors, artificial intelligence algorithms, embedded systems, robust control, inertial navigation systems, robotics, interconnectivity, big data, and cloud computing are the core of machine vision developments for cyber-physical systems to collaborate with humans and their real and virtual environments and activities.
MEMS Inertial Device
MEMS inertial devices, including MEMS gyroscopes and MEMS accelerometers, are widely used sensors in the MEMS technology and instrumentation research field. They have the advantages of small size, light weight, low cost, strong batch production capacity, and good impact resistance. MEMS inertial devices have important application value and broad application prospects in the fields of national economy, national defense, and military. The development of the current information intelligence era has brought new development opportunities for MEMS inertial devices. With the progress of semiconductor processing technology and the improvement of measurement and control technology, the performance indicators of MEMS inertial devices have significantly improved, and they are replacing traditional inertial devices in more and more application areas.This special report focuses on all topics related to the structural design, manufacturing, measurement and control technology, data processing, and engineering applications of MEMS inertial devices, providing ideas for the difficulties faced by the further development of MEMS inertial devices.
Electrochemical Deposition
The Special Issue contains topical papers on the latest research, development, and application of electrochemical deposition method. The method is based on the chemical reduction of metal ions or their complexes. It is an almost universal way of making material coatings on the surface of conductive substrates by electrolysis of aqueous solutions containing metal ions or complexes. Electrochemical deposition is an inexpensive and relatively fast method that can be applied on an industrial scale for nano- and micro-structured coatings over a large area.With deep respect, we dedicate this Special Issue to the memory of the distinguished scientist Assoc. Prof. Dr. Konstantin Lovchinov (Bulgarian Academy of Sciences), who was its initiator and the main Guest Editor.
Statistical Inference in Linear Models
Linear models are statistical models that play a crucial role in several fields of science and are of practical importance in statistics. The most typical type is the linear regression model. Many phenomena, such as those in biology, medicine, economics, management, geology, meteorology, agriculture and industry, can be approximately described with linear models. Thus, the further research and development of linear models is still a hot research topic.
Applied Mathematics in Energy and Mechanical Engineering
Today, it is difficult to imagine the development of energy and mechanical engineering without the use of modern mathematical approaches. The active development of science, engineering and technology requires the use of physical and mathematical modeling, digital twins, machine learning, artificial intelligence algorithms, etc.The aim this Special Issue is to collect scientific articles reflecting the latest advances in mathematical apparatus applications in complex engineering problems.This Special Issue comprises 15 high-quality mathematical papers in a variety of technical areas, ranging from thermal engineering and gas dynamics to optics and electric vehicles, and will be useful to students, teachers, scientists and industrial specialists who deal with problems of applied mathematics in energy and mechanical engineering.
Current Research in Cement and Building Materials
This Special Issue mainly concerns recent progress in the fields of building materials, structural mechanics, geotechnical engineering, and advanced materials and technology. Some of the studies in this Special Issue collate the latest achievements in cement and building materials research, building upon traditional research theories and techniques. This Special Issue provides a supportive basis for remediating current research and difficulties and knowledge gaps.This field, with all its traditionalism and multidisciplinarity, has profited from these developments. However, its specific features have led to a considerable scattering of literary sources and a lack of information that has been mutually agreed upon by all relevant subjects. This Special Issue should help to overcome these problems. It provides us with an opportunity to create a compendium on novel cement and building materials, which will not only boost further scientific progress but also provide restorers and artists with a useful literary overview. It is focused on cement and building materials, and contains the most important results from different regions of the world.
The Adaptability of Residential Planning and Design to World-Changing Events
The Special Issue, "The Adaptability of Residential Planning and Design to World-Changing Events," explores innovative approaches to residential design that can effectively respond to short-, medium-, and long-term challenges posed by recent extreme events such as the COVID-19 pandemic, armed conflicts, and devastating natural disasters. It provides a comprehensive guide to creating residential environments that are not only resilient to the immediate impact of these events but also adaptable to the ongoing challenges and shifts in society. This holistic approach to residential planning and design will pave the way for a more sustainable and resilient future for our communities.This Special issue aims to reach a wide range of professionals and researchers involved in the fields of architecture, urban planning, engineering, public safety, and disaster management. This will also be of interest to policymakers, developers, and homeowners seeking to create more resilient and adaptable residential environments through the development of new building codes, urban planning strategies, and design guidelines.
Wind Power investors needed
Test of a very new rotor technic to gain a multiple power of wind energy, so that the subpressure behind the rotor can converted into electric power too.
Unlocking Emotions in Design
"Unlocking Emotions in Design: A Comprehensive Guide to Kansei Engineering" delves into the captivating realm of Kansei Engineering, an innovative methodology originating from Japan that revolutionizes product design and development. Unlike traditional approaches, Kansei Engineering places emotions and psychology at the heart of the design process. By unraveling the intricate tapestry of users' emotional responses and psychological nuances when engaging with products, this methodology transcends mere functionality to craft profound user experiences. Through insightful examples and a didactic journey, this book demystifies the foundational tenets of Kansei Engineering. As readers embark on this voyage, they'll traverse a landscape of diverse tools meticulously tailored for the methodology's application. These tools, akin to a craftsman's instruments, empower designers to decipher the intangible intricacies of human emotions and weave them seamlessly into their creations. Readers will emerge with a profound grasp of the Kansei Engineering methodology. Armed with this enriched comprehension, they will be adept at carrying our their own Kansei Engineering studies, a testament to the book's efficacy as a transformative learning resource. As designers and enthusiasts embrace the teachings held within, they will wield the power to evoke precise emotional landscapes through their creations, ultimately fostering unparalleled user satisfaction and profound engagement.
Performance Analysis of Cooperative Communication with SSK Modulation and RF Energy Harvesting
Diving into the cutting-edge realm of wireless communication, "Harvesting Signals" offers a meticulous exploration of the synergistic potential between cooperative communication, Space Shift Keying (SSK) modulation, and Radio Frequency (RF) energy harvesting. In a landscape where the demand for efficient wireless networks is ever-growing, this book presents a groundbreaking investigation into the fusion of cooperative strategies with advanced modulation techniques, promising not only enhanced spectral efficiency but also sustainable energy utilization through RF energy harvesting. Authored by leading experts in the field, this comprehensive analysis delves into the theoretical foundations, practical implementations, and performance evaluations of cooperative communication systems employing SSK modulation and RF energy harvesting. Through a blend of rigorous mathematical frameworks and practical insights, readers are guided through the intricacies of system design, resource allocation, and optimization strategies. From theoretical derivations to real-world experimentation, "Harvesting Signals" offers a roadmap for researchers, engineers, and students alike to navigate the complexities of next-generation wireless networks. Whether seeking to optimize spectral efficiency, extend network lifetime, or minimize energy consumption, this book serves as an indispensable resource in unlocking the full potential of cooperative communication combined with SSK modulation and RF energy harvesting. Prepare to embark on a journey into the forefront of wireless communication research, where innovation meets sustainability, and where the pursuit of performance leads to the harvesting of signals.
Sustainable Mobility in Action. Electric Vehicle Charging Infrastructure With a Focus on AUDI AG
Master's Thesis from the year 2023 in the subject Engineering - Power Engineering, grade: 1,3, Ingolstadt University of Applied Sciences, language: English, abstract: The advent of electric vehicles (EVs) has ushered in a new era of sustainable transportation, promising reduced carbon emissions and decreased dependence on fossil fuels. As the global automotive industry undergoes a profound transformation, it is imperative to assess and optimize the infrastructure supporting EV adoption. This research paper delves into the intricate world of public charging infrastructure for EVs, with a specific focus on an in-depth analysis of the existing charging ecosystem at AUDI AG headquarters. The rise of electric mobility has initiated a pivotal shift in how we perceive and interact with transportation. With a growing commitment to environmental sustainability and the recognition of EVs as a key driver of a greener future, the establishment of an efficient and effective charging infrastructure is critical. EV adoption and, by extension, the success of a low-carbon transportation system depend heavily on the convenience and reliability of public charging stations. To understand the current state of this infrastructure and its potential for improvement, this paper embarks on a comprehensive exploration of the charging sector. Before delving into the intricacies of the charging sector, it is essential to provide an overview of the status quo in electric mobility and establish the objectives and targets that drive this investigation. The paper will address the existing challenges and opportunities in the EV charging landscape and set clear goals for analyzing and enhancing the infrastructure. This contextualization is fundamental for appreciating the significance of the research conducted herein. This research is structured to offer a systematic exploration of the topic, enabling readers to follow a logical progression of information. It is divided into several chapters, each
Intelligent Point Cloud Processing, Sensing and Understanding
Point clouds are deemed to be one of the foundational pillars in representing the 3D digital world, despite irregular topologies among discrete points. Recently, advancements in sensor technologies that acquire point cloud data for flexible and scalable geometric representation have paved the way for the development of new ideas, methodologies, and solutions in countless remote sensing applications. State-of-the-art sensors are capable of capturing and describing objects in a scene by using dense point clouds from various platforms (satellites, aerial, UAVs, vehicle-borne, backpacks, handheld, and static terrestrial), perspectives (nadir, oblique, and side view), spectra (multispectral), and granularity (point density and completeness). Meanwhile, the ever-expanding application areas of point cloud processing have already covered not only conventional domains in geospatial analysis but also manufacturing, civil engineering, construction, transportation, ecology, forestry, mechanical engineering, etc. Readers can learn about the latest innovative technologies for generating, processing, and analyzing point cloud data from these contributions, which helps to understand the challenges faced by point cloud data and develop new 3D applications.
Recent Advances in Information-Centric Networks (ICNs)
The Internet's great success has been essentially based on the simplicity and versatility of its TCP/IP architecture, as it imposes almost no restrictions on either the underlying network technology or the data being transmitted. In essence, applications built on top of TCP/IP get a point-to-point channel that can be used to transmit arbitrary information. This approach has served quite satisfactorily for many years, but it is no longer well suited to some of the new communication paradigms now being used on the Internet. Nowadays, most applications running on top of the Internet are no longer interested in using a point-to-point channel to exchange traffic between two endpoints. In contrast, what they want is to obtain some piece of information that is available in the network somewhere. The current use of load balancers and cache overlay networks is an interim solution to address this mismatch between the network communication model and the needs of applications, but such a solution suffers from significant shortcomings. Information-centric networks (ICNs), particularly Named Data Networking (NDN) and CCNx, offer a service where users can directly obtain information, regardless of location. This service suits current network uses and can provide the traditional point-to-point communication service if desired. This Special Issue highlights and presents recent advances in different problems related to using information-centric network architecture.
Advances in Sustainable Valorization of Natural Waste and Biomass
This reprint brings together some recent advances in the sustainable re-design of natural waste and biomass in different material productions for both textile and non-textile applications. These include a wide array of topics, such as the following: the use of textile waste fibers, i.e., wool as a fertilizer to promote plant growth; the potential of cellulose textiles from hemp biomass; the use of green wood adhesives from sustainable proteins; optimization of the pyrolysis process of biomass; the use of natural wastes in composites preparation, including cellulosic waste as well as leather waste; dye adsorbents prepared from cellulosic wastes; some new methods of environmentally friendly dyeing; and imparting functionality to textiles by using natural ingredients.
Journey to Hart's Halo
Wanted: Space Pioneers (and readers!) aged 11-14For a limited time, Middle-Grade readers can get a FREE PDF copy with their parent's permission, in exchange for a fair review!Middle-Grade teachers and librarians: For a limited time, Middle-Grade teachers and librarians can get a FREE sample PDF copy, in exchange for a fair review!A Learning Resource is also available for use in the classroom. Simply visit Hartshalo.com for Space, STEM, Puzzles, Mystery and Adventure! JOURNEY TO HART'S HALO is a near-future sci-fi adventure, set in 2033 on the world's first international space colony.The project of eccentric technology billionaire Dr. Oliver Hart, Hart's Halo is about to be populated by Zero Colony. Space-crazy twelve-year-old Davey Randolph's dream is to win two of the twelve spots, for him and his mom, in a global lottery to spend five years aboard the Halo. Little does Davey know, but winning a spot in Zero Colony will only be the beginning of his life's greatest adventureConstructed as a puzzle-propelled mystery, Davey needs the help of an international cast of clever and quirky pre-teens, and to conquer his own feelings of being an outsider, to solve the puzzles that will lead to a shocking discovery about the true fate of his missing father.WENDY ORR, AUTHOR OF NIM'S ISLANDA meticulously realized space adventure with an appealingly nerdy hero and a generous smattering of the puzzles he must solve to complete his quest!Here's what some Tween Readers have said: Hart's Halo, the book of books (13-year-old Jack) ★★★★★Reading this fantastic odyssey through the eye's (sic) of a child brings a new perspective to the world of science fiction. Through a gripping tale, the reader will experience not only a fantastic story but they may even learn a bit about higher physics and quantum mechanics. One of the best teen fictions I've read in a long time!ARC Reader (12-year-old Domenic)Lou Hood is now my second favorite author, after Rick Riordan!JOURNEY TO HART'S HALO is great as a family read, too: Engaging and imaginative (JenX) ★★★★★I wanted to try this book for my tween daughter ... I ended up reading Hart's Halo before I even gave it to my daughter, and just loved it! It ended up being passed around our entire household, and it was enjoyed by everyone (one really liked the setting and the storyline, another the puzzles and the scientific theories and ideas). I sent a hardcopy to my nephews, who live in another city, and we have now infected their family and friends with this book - I also like that there will be (hopefully) at least one more book coming up. Look forward to that!Perfect for ages 11 - 14, especially 7th and 8th grades.Send your Tween's imagination into space, with JOURNEY TO HART'S HALOThe HART'S HALO series of books will have kids (of all ages) dreaming of winning their own place on the Hart's Halo space station. RETURN TO HART'S HALO: V2.0 The Singing Spheres coming Summer 2024.
Digital Archival Repositories
As a result of the technological revolution, archival practice and knowledge were faced with a paradigm shift from physical to digital documents. This process was so accentuated and vehement that it became the fifth most important milestone for archives in the 1980s. To this end, this research is bibliographical and qualitative. Its objective is descriptive and informative. The results point to the importance of the chain of custody in terms of maintaining the archival characteristics of digital documents. It explains the importance of drawing up the archival management tools, the Classification Plan and the Table of Temporality and Destination of Documents. It highlights Archivematica and Atom as the most widespread archival repository and access platform, respectively, in Brazil and internationally. It advocates the influence of the archivist-researcher in terms of their work, since the publication of case study materials undeniably contributes to the construction of knowledge and the sharing of ideas, expectations and any points of friction that may occur when it comes to practical application.
Factors related to non-adherence to dietary modification among patients with diabetes
Research Paper (undergraduate) from the year 2023 in the subject Biology - Diseases, Health, Nutrition, language: English, abstract: This study assessed factors related to non-adherence to dietary modification among patients with diabetes attending clinic at Holy Family Hospital, Nkawkaw. Diabetes is one of the most rapidly increasing non communicable diseases which has emerged as a public health concern across the world. Adherence to recommended dietary practices for patients with diabetes is very critical to achieve optimal metabolic control, as non-adherence is associated with adverse effects, which eventually lead to major complications. The study was a descriptive cross-sectional study, and had a sample size of 100 respondents. Data was analyzed using SPSS version 20. The study results revealed that the participants possessed a reasonably good level of knowledge regarding dietary management. Participants showed a sound understanding on the various major nutrients in foods, and were aware that skipping dietary management prescribed by health experts may not help their condition, were aware of the effect of foods on blood glucose. Also, most of them knew that brown sugar is a healthy alternative to white sugar, were knowledgeable on the levels of sugar in foods, and had good knowledge on foods which helps in proper management of blood glucose. The study results revealed that the participants demonstrated good dietary practices in dietary management. Some of the dietary practices included taking their main meals thrice in a day, most of them eating their first meal between 7am to 8 O'clock, eating more of vegetables and fruits and consuming less starchy, sugary, fatty and salty foods. The findings of this study also revealed that, factors such as individual preferences, lack of adequate information on healthy diet, difficulty to change existing meals, occupation and busy schedule, limited food choices, frequent social gathering, inability to afford recommend
Evaluating the impact of vehicle overloading on the structural layers of road pavement
Master's Thesis from the year 2023 in the subject Engineering - Civil Engineering, grade: 3.96/4, Mekelle University (Ethiopian institute of Technology Mekelle), course: Road and Transportation Engineering, language: English, abstract: Many researchers agree that the contribution of vehicle overloading in the degradation of road pavement over the environment and the aging of materials is significantly larger. As such, the thesis emphasized overloading vehicles, which is considered a major factor responsible for most pavement damage worldwide. The thesis aimed to evaluate the effect of overloading on pavement layer deterioration and its effect on the life of the asset and the economic loss induced due to overloading. The input data for analysis were collected as a secondary source. Moreover, KENLAYER, part of the KENPAVE Computer Program, was applied for the pavement layers' nonlinear analysis and critical responses. The damage ratio indicating premature failure of the road is then determined from these critical responses and the actual reduction in service life of the road segment in years was determined. An economic evaluation criterion, the net present value was used to determine the economic loss for two scenarios, with and without overloading for the road investment. The road segment under study was designed for a traffic of 1.651*10^6 ESAL. On the other side, from the actual traffic and axle load data analysis results, the actual on-road traffic was 3.02*10^6. Thus, the overloaded truck traffic has created an extra load on the road pavement. As a result, pavement structures were damaged in an unexpected situation. The critical response results revealed that the tensile strain at the bottom of the asphalt layer and compressive strain at the top of the subgrade increased with increasing axle loads. Damage analysis was performed based on the Ethiopian Road Authority failure criterion, the permanent deformation on the top of the subgrade was the governing for the
AIRRA Resources Handbook
AIRRA Resources Handbook: For Developers: "Empower your AI projects. From machine learning to deep learning, the AIRRA Resources Handbook provides expert guidance and real-world examples to build trustworthy and impactful AI solutions."For Policymakers: "Bridge the gap between technology and policy. The AIRRA Resources Handbook fosters productive dialogue and empowers informed decision-making about responsible AI development."For Educators: "Spark curiosity and understanding about AI. The AIRRA Resources Handbook equips educators with tools to demystify AI for students of all ages, encouraging positive engagement with this transformative technology."For the General Public: "Your guide to responsible AI. The AIRRA Resources Handbook equips you with the knowledge and resources to advocate for ethical AI development and safeguard your rights in the digital future."
Future-Proofing Software
In "Future-Proofing Software: Navigating Quality Assurance and AI in the Digital Age," readers are invited on a compelling journey through the evolving landscape of software development, where the integration of quality assurance (QA) and artificial intelligence (AI) stands at the forefront of innovation. This insightful guide explores the critical role of QA in ensuring software reliability, performance, and security, while embracing AI as a transformative tool for automating testing, enhancing decision-making, and predicting future trends. As digital technologies advance at an unprecedented pace, the need for robust, adaptable software has never been more acute. This book offers a blueprint for developers, QA professionals, and IT managers to navigate this complex terrain. Through real-world examples, case studies, and practical strategies, it illuminates the path to creating resilient, future-proof software solutions that can stand the test of time in a rapidly changing digital ecosystem. With a focus on fostering a culture of continuous improvement and innovation, "Future-Proofing Software" delves into the methodologies, tools, and frameworks that facilitate the seamless integration of QA and AI. From harnessing machine learning for smarter testing processes to adopting agile practices for dynamic development environments, this book equips readers with the knowledge to lead their software projects towards success in the digital age. Whether you're looking to enhance your current QA processes, explore the potential of AI in software development, or stay ahead of industry trends, "Future-Proofing Software: Navigating Quality Assurance and AI in the Digital Age" offers a comprehensive and forward-thinking approach to mastering the challenges and opportunities of modern software development.
Averting the Digital Dark Age
How the internet's memory infrastructure developed--averting a "digital dark age"--and introduced a golden age of historical memory.In early 1996, the web was ephemeral. But by 2001, the internet was forever. How did websites transform from having a brief life to becoming long-lasting? Drawing on archival material from the Internet Archive and exclusive interviews, Ian Milligan's Averting the Digital Dark Age explores how Western society evolved from fearing a digital dark age to building the robust digital memory we rely on today. By the mid-1990s, the specter of a "digital dark age" haunted libraries, portending a bleak future with no historical record that threatened cyber obsolescence, deletion, and apathy. People around the world worked to solve this impending problem. In San Francisco, technology entrepreneur Brewster Kahle launched his scrappy nonprofit, Internet Archive, filling tape drives with internet content. Elsewhere, in Washington, Canberra, Ottawa, and Stockholm, librarians developed innovative new programs to safeguard digital heritage. Cataloging worries among librarians, technologists, futurists, and writers from WWII onward, through early practitioners, to an extended case study of how September 11 prompted institutions to preserve thousands of digital artifacts related to the attacks, Averting the Digital Dark Age explores how the web gained a long-lasting memory. By understanding this history, we can equip our society to better grapple with future internet shifts.
