The Impulse Factor PDF Download

Author: Nick Tasler
Publisher: Simon and Schuster
ISBN: 1439157278
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
Packed with riveting examples and controversial research, "The Impulse Factor" provides a clear understanding of why people make the choices they do--and the tools necessary to turn those decisions into something great.

Author: The Korea Institute for Health and Social Affairs (South Korea)
Publisher: 길잡이미디어
ISBN: 8968271283
Category : Big data
Languages : en
Pages : 98

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Book Description
CHAPTER 1 Introduction CHAPTER 2 Healthcare & Welfare 3.0 and Big Data 1. Measures to Push Forward Big Data in Healthcare and Welfare 2. Effective Big Data Utilization Measures in Healthcare and Welfare Area CHAPTER 3 Adolescent Suicide Risk Prediction Factors by Using Social Big Data: With Application of Decision Tree of Data Mining 1. Research Methods 2. Research Results 3. Discussion and Policy Proposal 4. Conclusion CHAPTER 4 Predictive Model of Risk Factors by Korean Cyber Bullying Types: With Application of Data Mining Using Social Big Data 1. Research Methods 2. Research Results 3. Conclusion CHAPTER 5 Methods of Social Risk Factors Prediction Utilizing Social Big Data

Author: Das, Raja
Publisher: IGI Global
ISBN: 152252441X
Category : Business & Economics
Languages : en
Pages : 556

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Book Description
Recent improvements in business process strategies have allowed more opportunities to attain greater developmental performances. This has led to higher success in day-to-day production and overall competitive advantage. The Handbook of Research on Manufacturing Process Modeling and Optimization Strategies is a pivotal reference source for the latest research on the various manufacturing methodologies and highlights the best optimization approaches to achieve boosted process performance. Featuring extensive coverage on relevant areas such as genetic algorithms, fuzzy set theory, and soft computing techniques, this publication is an ideal resource for researchers, practitioners, academicians, designers, manufacturing engineers, and institutions involved in design and manufacturing projects.

Author: Huihui Pan
Publisher: Springer Nature
ISBN: 9819977908
Category : Technology & Engineering
Languages : en
Pages : 308

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Book Description
This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle systems. By integrating object detection, semantic segmentation, trajectory prediction, multi-object tracking, multi-sensor fusion, and reliability control in a systematic way, this book is aimed at guaranteeing that intelligent vehicles can run safely in complex road traffic scenes. Adopts the multi-sensor data fusion-based neural networks to environmental perception fault tolerance algorithms, solving the problem of perception reliability when some sensors fail by using data redundancy. Presents the camera-based monocular approach to implement the robust perception tasks, which introduces sequential feature association and depth hint augmentation, and introduces seven adaptive methods. Proposes efficient and robust semantic segmentation of traffic scenes through real-time deep dual-resolution networks and representation separation of vision transformers. Focuses on trajectory prediction and proposes phased and progressive trajectory prediction methods that is more consistent with human psychological characteristics, which is able to take both social interactions and personal intentions into account. Puts forward methods based on conditional random field and multi-task segmentation learning to solve the robust multi-object tracking problem for environment perception in autonomous vehicle scenarios. Presents the novel reliability control strategies of intelligent vehicles to optimize the dynamic tracking performance and investigates the completely unknown autonomous vehicle tracking issues with actuator faults.

Author: Hogir Rafiq
Publisher: Springer Nature
ISBN: 365842480X
Category : Technology & Engineering
Languages : en
Pages : 206

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Book Description
Hogir Rafiq proposes two approaches, the signal processing based condition monitoring approaches with applications to fault detection in gear systems, and application of deep mathematical and system theoretical methods to fault detection. The author develops the multivariate empirical mode decomposition (MEMD) algorithm to enhance the capability of extracting fault features and theoretical problems in nonlinear frequency analysis methods, respectively. The effectiveness has been demonstrated by an experimental study on a wind turbine gearbox test rig.

Author: Hosameldin Ahmed
Publisher: John Wiley & Sons
ISBN: 1119544629
Category : Technology & Engineering
Languages : en
Pages : 456

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Book Description
Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.

Author: David Lewis
Publisher: Harvard University Press
ISBN: 0674729900
Category : Psychology
Languages : en
Pages : 333

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Book Description
Impulse explores what people do despite knowing better, along with snap decisions that occasionally enrich their lives. This eye-opening account looks at two kinds of thinking--one slow and reflective, the other fast but prone to error--and shows how our mental tracks switch from the first to the second, leading to impulsive behavior.

Author: William P. Kreml
Publisher: Elsevier
ISBN: 1483157911
Category : Psychology
Languages : en
Pages : 131

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Book Description
The Anti-Authoritarian Personality is a seven-chapter book that first explains the anti-authoritarian personality. Subsequent chapter discusses the authoritarian model. Other chapters detail the order, power, impulse, and introspection. The authoritarian model in politics is also described.

Author: Yaguo Lei
Publisher: Butterworth-Heinemann
ISBN: 0128115351
Category : Technology & Engineering
Languages : en
Pages : 378

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Book Description
Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. - Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics - Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction - Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences

Author: J Rossbach
Publisher: World Scientific
ISBN: 9814554073
Category :
Languages : en
Pages : 1288

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Book Description
The High Energy Accelerator Conference has always been the monitor of the state of the art and the new trends in planning, construction and operation of large particle accelerators. It is held every three years. The 1992 conference is devoted to High Energy Hadron Accelerators and Colliders, Linear Colliders, e⁺e⁻ Storage Rings and related Technologies for these machines. In addition to status reports and contributed papers, the program features twelve survey talks which include summaries of individual poster papers.