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1000 tulosta hakusanalla David J Hill

The Elements of Rhetoric and Composition
The Elements of Rhetoric and Composition - A text-book for schools and colleges is an unchanged, high-quality reprint of the original edition of 1884. Hansebooks is editor of the literature on different topic areas such as research and science, travel and expeditions, cooking and nutrition, medicine, and other genres. As a publisher we focus on the preservation of historical literature. Many works of historical writers and scientists are available today as antiques only. Hansebooks newly publishes these books and contributes to the preservation of literature which has become rare and historical knowledge for the future.
These Barren Hills

These Barren Hills

David J. Heslop

Createspace Independent Publishing Platform
2013
nidottu
In the long anticipated companion to the award-winning Red Cloud Pistachios, the small rural town of Red Cloud, Arizona becomes the focus of murder and greed. Someone is buying up vast acres of land in the valley. But with the country in the midst of a deep recession and a killing drought, it makes no sense. And then a well digger for one of the area farms makes a terrible discovery: They're not buying land. They're buying what's under it.These Barren Hills is the story of the rise and fall of a town; the brutality of corporate greed, and the deadly consequences for those who get in the way.
McGraw-Hill's National Electrical Safety Code 2017 Handbook 4E (PB)
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Achieve full 2017 NESC® compliance with this hands-on guideMcGraw-Hill’s National Electrical Safety Code® (NESC®) 2017 Handbook thoroughly explains how to apply and meet the NESC® rules for electric supply stations and equipment, as well as overhead and underground electric supply and communications lines. Designed to be used alongside the Code itself, this comprehensive resource has been fully updated to reflect the record number of change proposals for the 2017 NESC®. Focusing on practical application of the 2017 Code, this Handbook delivers a rule-by-rule annotation of the NESC® that clarifies potentially confusing Code text and allows you to perform your work safely and confidently. Hundreds of diagrams, photos, and practical examples make this the most complete and useful handbook available on the topic.COVERAGE INCLUDES:• General SectionsApplication * Definitions * Grounding Methods• Safety Rules for the Installation and Maintenance of Electric Supply Stations and Equipment• Safety Rules for the Installation and Maintenance of Overhead Electric Supply and Communication Lines• Safety Rules for the Installation and Maintenance of Underground Electric Supply and Communication Lines• Work Rules for the Operation of Electric Supply and Communication Lines and Equipment
House on the Hill

House on the Hill

David J Cooper

David J Cooper
2020
pokkari
A well-know author, an abandoned house, an innkeeper's warning.Sometimes you should listen to advice...For years the abandoned house remained hidden in the Welsh mountains. Rumours and stories of strange disappearances in or near the property were enough to convince the locals it was evil and they stayed away.Jake Thomas, a well-known writer, is suffering from writer's block and decides to travel to Wales to get inspiration for his new book when he finds himself in a remote village.A stranger he meets in the local pub tells him that the village has an evil secret.The innkeeper tells Jake that people who enter the house never return and warns him not to go there.Jake doesn't believe in local superstition and thinks a visit to the house could be the inspiration he is looking for.Not only does he investigate the house but also comes across a crypt hidden in the forest that hints at terrible secret.Will this secret inspire Jake to write a best seller or will he be another victim that doesn't return?Find out by hitting the buy button.
The Hope We Risk

The Hope We Risk

David Lasley; Anne J Hill

Twenty Hills Publishing
2024
pokkari
For those who are no strangers to grief, The Hope We Risk is a collection of poetry and poetic prose to bring light to your darkest hours. If you feel alone in your grief or struggle to see how there can be hope in the midst of despair, these carefully crafted words by numerous poets and authors are here to bring you comfort and to point to the God who is still in control in a spiraling world. To those who have loved and lost, faced the pain of death, fallen into the clutches of paralyzing grief, and either gotten back up or still need a helping hand, know that you are loved. May this book be a balm and encouragement to the weariest of souls-to help you risk hope even in the face of sorrow.
Deterministic Learning Theory for Identification, Recognition, and Control
Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic EnvironmentsThe authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information ProcessingThis book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).
Deterministic Learning Theory for Identification, Recognition, and Control
Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic EnvironmentsThe authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information ProcessingThis book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).
Network-Based Analysis of Rotor Angle Stability of Power Systems

Network-Based Analysis of Rotor Angle Stability of Power Systems

Yue Song; David J. Hill; Tao Liu

now publishers Inc
2020
nidottu
Rotor angle stability is a topic of fundamental importance in electric power systems. Traditionally, rotor angle stability analysis is oriented to node dynamics, especially the impact of generator modeling and parameters. On the other hand, the power network structural information is simply treated as some coefficients in the system dynamical models, which have been paid less attention. This monograph surveys the network-based theories of rotor angle stability that elaborate the role of power network structure, including the results developed in early years as well as in recent years that are facilitated by the new progress on graph theory. It focuses on the connections between power network structures and system dynamic behaviors, and those graph theoretic tools tailored for power system analysis.This publication provides new insights into some important problems in rotor angle stability that have not been well addressed by the traditional node-based approaches. Network-Based Analysis of Rotor Angle Stability of Power Systems is a must-read for all students and researchers working on the cutting edge of electric power systems.
Essentials of Anatomy and Physiology Laboratory Manual
A perfect introduction to introductory human anatomy and physiology, Essentials of Anatomy & Physiology Laboratory Manual offers a unique approach that incorporates crime scenes, superheroes and more. While traditional lab manuals simply offer core concepts on A&P topics, this one-of-a-kind resource presents material from easily understood comparisons to help you learn about A&P from a real-world point of view. Plus, hands-on activities experiments help link what you're learning today with how it may be used in your professional life. Labeling exercises help you memorize the small details of complicated body parts and processes. Practical experiments that center on your own physiological processes and knowledge of the world in general help you make connections between the text, lab, and the world around you. Numerous full-color illustrations and photomicrographs help you visualize difficult concepts and reinforce development of spatial perspective.
Nonlinear Control of Dynamic Networks

Nonlinear Control of Dynamic Networks

Tengfei Liu; Zhong-Ping Jiang; David J. Hill

CRC Press
2017
nidottu
Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate. Motivated by the need for new tools to solve complex problems resulting from smart power grids, biological processes, distributed computing networks, transportation networks, robotic systems, and other cutting-edge control applications, Nonlinear Control of Dynamic Networks tackles newly arising theoretical and real-world challenges for stability analysis and control design, including nonlinearity, dimensionality, uncertainty, and information constraints as well as behaviors stemming from quantization, data-sampling, and impulses.Delivering a systematic review of the nonlinear small-gain theorems, the text: Supplies novel cyclic-small-gain theorems for large-scale nonlinear dynamic networksOffers a cyclic-small-gain framework for nonlinear control with static or dynamic quantizationContains a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noisePresents a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topologyBased on the authors’ recent research, Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges.
Nonlinear Control of Dynamic Networks

Nonlinear Control of Dynamic Networks

Tengfei Liu; Zhong-Ping Jiang; David J. Hill

CRC Press Inc
2014
sidottu
Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate. Motivated by the need for new tools to solve complex problems resulting from smart power grids, biological processes, distributed computing networks, transportation networks, robotic systems, and other cutting-edge control applications, Nonlinear Control of Dynamic Networks tackles newly arising theoretical and real-world challenges for stability analysis and control design, including nonlinearity, dimensionality, uncertainty, and information constraints as well as behaviors stemming from quantization, data-sampling, and impulses.Delivering a systematic review of the nonlinear small-gain theorems, the text: Supplies novel cyclic-small-gain theorems for large-scale nonlinear dynamic networksOffers a cyclic-small-gain framework for nonlinear control with static or dynamic quantizationContains a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noisePresents a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topologyBased on the authors’ recent research, Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges.
Regulation, Market Prices, And Process Innovation

Regulation, Market Prices, And Process Innovation

Edward Greenberg; Christopher T. Hill; David J. Newburger

Routledge
2020
sidottu
Through the study of innovation in processes for the production of synthetic ammonia, the authors examine the effects of environmental and workplace regulations on business innovation in general. They present a history of ammonia production in the U.S., a survey of government regulation in the industry, and a model of process innovation that combines the economist's production function with the technical and practical concepts of the engineer. Contrary to the widely held view that regulation has an unfortunate impact on business, the authors demonstrate that—at least in one industry—the economic factors of production have a measurable impact on innovation, while regulation does not.
Regulation, Market Prices, And Process Innovation

Regulation, Market Prices, And Process Innovation

Edward Greenberg; Christopher T. Hill; David J. Newburger

TAYLOR FRANCIS LTD
2022
nidottu
Through the study of innovation in processes for the production of synthetic ammonia, the authors examine the effects of environmental and workplace regulations on business innovation in general. They present a history of ammonia production in the U.S., a survey of government regulation in the industry, and a model of process innovation that combines the economist's production function with the technical and practical concepts of the engineer. Contrary to the widely held view that regulation has an unfortunate impact on business, the authors demonstrate that—at least in one industry—the economic factors of production have a measurable impact on innovation, while regulation does not.