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Generator remote controlling using internet connection
The traditional technique of monitoring the electricity generated through regular checks on the alternator variables: oil, temperature, voltage and current on a daily basis. Therefore, maintaining a normal performance cycle requires hard work and is often imprecise. The idea is to create an application that monitors wireless generators using the popular smartphone Android operating system. Implemented sensors deliver analog signals that provide real-time data on the status of the generator. This data is converted and programmed through the Node MCU microcontroller, which reads the results from the sensors and then converts into a signal, which is transmitted to the android phone, through a router. Thus live feedback of the generator status is ensured. In addition, this project provides a control button that can actually turn this generator on and off. This project is the first step towards bringing systems and control together as it revolutionizes the ideology of monitoring and displaying real-time data that can be implemented in different fields according to different needs. These fields include electricity, mechanics, and communications.
Generative programming and component engineering ; 4th International conference, GPCE 2005, Tallinn, Estonia, September 29 - October 1, 2005, Proceedings
Generative Programming and Component Engineering (GPCE) is a leading - searchconferenceonautomaticprogrammingandcomponentengineering.These approaches to software engineering have the potential to revolutionize software development as automation and components revolutionized manufacturing. The conference brings together researchers and practitioners interested in adva- ing automation for software development. It is also a premier forum for cro- fertilization between the programming language and software engineering - search communities. GPCEaroseasajointconference, mergingthepriorconferenceonGenerative and Component-Based Software Engineering (GCSE) and the Workshop on - mantics, Applications, andImplementationofProgramGeneration(SAIG). The proceedingsofthepreviousGPCEconferenceswerepublishedintheLNCSseries of Springer as volumes2487,2830, and 3286.In 2005 GPCE wasco-locatedwith the International Conference on Functional Programming (ICFP) and the s- posium on Trends in Functional Programming (TFP), re?ecting the vigorous interaction between the functional programming and generative programming research communities. GPCE and ICFP are both sponsored by the Association for Computing Machinery. The quality and breadth of the papers submitted to GPCE 2005 was impr- sive. All 86 papers, including 5 papers for tool demonstrations, were rigorously reviewed by 17 highly quali?ed Program Committee members. The members of the Program Committee ?rst provided in-depth individual reviews of the s- mitted papers, and then debated the merits of the papers through an extended electronicProgramCommitteemeeting.After much(friendly) argument,25r- ular papers and 2 tool demonstration papers were selected for publication. The ProgramCommittee provided extensive technical feedback to the authors of the submittedpapers.Theconferenceprogramwascomplementedwiththreeinvited talks, three extended tutorials, and three all-day workshops.
Generative and transformational techniques in software engineering II : International Summer School, GTTSE 2007, Braga, Portugal, July 2-7, 2007. Revised Papers
This tutorial book presents an augmented selection of the material presented at the International Summer School on Generative and Transformational Techniques in Software Engineering, GTTSE 2007, held in Braga, Portugal, in July 2007.The 7 tutorial lectures presented together with 5 short tutorials and 4 contributions to the participants workshop were carefully selected during multiple rounds of reviewing and improvement. The tutorials given by renowned representatives of complementary approaches and problem domains combine foundations, methods, examples, and tool support.
General ultrasound in the critically ill
General ultrasound in the critically ill describes a bedside tool destined for use by the intensivist and any physician involved in emergencies. It specifically deals with findings of immediate clinical relevance throughout the body. New emergency applications of ultrasound in the abdomen, the vessels, the head and the heart are considered. The major topic, the lung, is extensively discussed. Interventional ultrasound forms part of nearly every chapter. Flow charts simplify daily concerns: acute dyspnea, shock, unexplained fever, etc. The strong points and pitfalls of ultrasound are reviewed. Technical notes are mingled with general considerations. Benefiting from the extensive experience of an intensivist intimately familiar with ultrasound, this book accurately answers most daily problems arising in the critically ill. it offers not only an exhaustive atlas but also a permanent aid to the therapeutic decision. All in all, General ultrasound in the critically ill provides a key for practicing a kind of visual medicine. Since 1990 Daniel Lichtenstein has been an intensivist in a medical ICU which already occupied a pioneering place in echocardiography. He has from the beginning devoted his efforts to the development of general ultrasound. He regularly publishes studies on lung ultrasound, his main topic, in the international literature.
Gene drives at tipping points : Precautionary technology assessment and governance of new approaches to genetically modify animal and plant populations
This book reports on a pilot project aiming at collecting information on the socio-ecological risks that could arise in the event of an uncontrolled spread of genetically engineered organisms into the environment. The researchers will, for instance, be taking a closer look at genetically engineered oilseed rape, genetically engineered olive flies as well as plants and animals with so-called gene drives. The book mainly adresses researchers.
Gender Equality Programmers in Higher Education : International Perspectives
For the last twenty years gender equality has been on the agenda of national higher education policies both within Europe and beyond it.the authors of this book analyse under which circumstances equality programmes are successful. In order to develop a deeper understanding of the mechanisms of and barriers to gender equality in higher education this book presents comparative studies and research focusing on the development of gender equality policies in different countries, as well as studies on the conditions for implementing policies, changes in strategies and the evaluation of gender equality programmes.
Gender Differences in Computer and Information Literacy : An In-depth Analysis of Data from ICILS
When computer technology was first introduced in schools, there was a prevailing belief that information and communication technologies were ‘boys’ toys’; boys were assumed to have more positive attitudes toward using computer technologies. As computer technologies have become more established throughout societies, gender gaps in students’ computer and information literacy appear to be closing, although studies into gender differences remain sparse.
Game Theory and Mutual Misunderstanding : Scientific Dialogues in Five Acts
This book consists of five acts and two interludes, which are all written as dialogues between three main characters and other supporting characters. Each act discusses the epistemological, institutional and methodological foundations of game theory and economics, while using various stories and examples. A featured aspect of those discussions is that many forms of mutual misunderstanding are involved in social situations as well as in those fields themselves. One Japanese traditional comic story called the Konnyaku Mondo is representative and gives hints of how our thought is constrained by incorrect beliefs. Each dialogue critically examines extant theories and common misunderstanding in game theory and economics in order to find possible future developments of those fields.
Fuzzy Quantifiers : A Computational Theory
Almost all", "many", "some": fuzzy quantifiers are vital for effective communication in natural language (NL). This monograph pursues an axiomatic method to achieve a reliable interpretation of these quantifiers in technical applications of fuzzy quantification. Unlike existing work in this area, it targets a much broader class of quantificational phenomena which includes all cases usually considered in linguistics. The topics addressed in the monograph run the gamut from the introduction of the theoretical framework for analysing fuzzy quantification, the formalization of semantical requirements on models of fuzzy quantification, the construction and detailed study of prototypical models which conform to the linguistic desiderata, the development of algorithms for implementing the main types of quantifiers in these models, and finally a preview to fuzzy branching quantifications which might be necessary for modelling NL sentences involving more than one quantifier.
Fuzzy portfolio optimization : Theory and methods
This is the first monograph on fuzzy portfolio optimization. By using fuzzy mathematical approaches, quantitative analysis, qualitative analysis, the experts' knowledge and the investors' subjective opinions can be better integrated into portfolio selection models. The contents of this book mainly comprise of the authors' research results for fuzzy portfolio selection problems in recent years. In addition, in the book, the authors introduce some other important progress in the field of fuzzy portfolio optimization. Some fundamental issues and problems of portfolio selection have been studied systematically and extensively by the authors to apply fuzzy systems theory and optimization methods. A new framework for investment analysis is presented in this book. A series of portfolio selection models are given and some of them are more efficient for practical applications. Some application examples are given to illustrate those models.
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information
This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and database models for engineering information modeling are investigated. The main novel aspect of this book is that the book focuses on imprecise and uncertain industrial information modeling viewed from databases and fuzzy database technologies viewed from industrial applications. This may be useful for people involved in theory research, design implementation, and application development of intelligent engineering databases.
Fuzzy Choice Functions : A Revealed Preference Approach
This book extends the theory of revealed preference to fuzzy choice functions and provides applications to multicriteria decision making problems. The main topics of revealed preference theory (rationality, revealed preference and congruence axioms, consistency conditions) are treated in the framework of fuzzy choice functions. New topics, such as the degree of dominance and similarity of vague choices, are developed. The results obtained are applied to economic problems where partial information and human subjectivity involve vague choices and vague preferences. The book contains a number of new results achieved by the author. Even though the text is reasonably self-contained, previous knowledge of revealed preference and fuzzy set theory is helpful for the reader.
Fuzzy and Rough Techniques in Medical Diagnosis and Medication
This volume provides readers with selected fuzzy and rough tools used to medical tasks, especially diagnosing and medication. To build a link between theoretical, mathematical excerpts and practical medical applications, the contents is formed as a sequence of occurrences in which a patient appears to be diagnosed and cured. The fuzzy and rough elements are inserted in the book in the order required by the presentation of medical substance to maintain the logical unity of the book’s essence. In conformity with this pattern the essay presents in turn some necessary elements of fuzzy set theory, the classical fuzzy diagnostic model with extensions, the fuzzy diagnostic model with clinical examinations extended throughout time based on distance theory, methods of drug effectiveness measurements and algorithms selecting the optimal medicine. As the complement, the solution of an approximation problem is suggested to find a curve that surrounds two-dimensional clock-like point sets with the little approximation error.
Fundamentals of statistics with fuzzy data
This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The monograph also aims at motivating statisticians to look at fuzzy statistics to enlarge the domain of applicability of statistics in general.
Fundamentals of operational risk management : Understanding and implementing effective tools, policies and frameworks
Threats to an organization's operations, such as fraud, IT disruption or poorly designed products, could result in serious losses. Understand the key components of effective operational risk management with this essential book for risk professionals and students. Outlines how to implement a sound operational risk management framework which is embedded in day-to-day business activities. It covers the main operational risk tools including categorisation, risk and control self-assessment and scenario analysis, and explores the importance of risk appetite and tolerance.
Fundamentals of Artificial Intelligence
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Fundamentals in Nuclear Physics : From Nuclear Structure to Cosmology
Explores nuclear physics and its applications ranging from the structure of nuclei and their reactions, to astrophysics and cosmology. The physics is introduced with arguments based on simple ideas such as the empirical structure of nuclear forces and its interplay with the Pauli principle and Coulomb repulsion. The book then develops elementary nuclear models and illustrates nuclear systematics with experimental data. Reactions and decays are discussed both phenomenologically and from the point of view of fundamental electro-weak interaction theory. The discussions of fission and fusion emphasize nuclear energy production. This leads directly into nuclear astrophysics and nucleosynthesis. The book ends with a presentation of the latest ideas about cosmology. As a primer this course will lay the foundations for more specialized subjects within the vast domain of nuclear physics as a whole. This book emerged from a series of topical courses the authors delivered at the Ecole Polytechnique and will be useful for advanced undergraduates and for scientists in a variety of fields.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
Fundamental approaches to software engineering ; 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, April 14-20, 2018, Proceedings
This book contains the proceedings of FASE 2018, the 21th International Conference on Fundamental Approaches to Software Engineering, held in Thessaloniki, Greece, in April 2018, the volume contains regular research papers that cover a wide range of topics, such as program and system analysis, model transformations, configuration and synthesis, graph modeling and transformation,software product lines, test selection, as well as learning and inference.
