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Powershell 3.0 Advanced Administration Handbook, Talaat Sherif, Fu Haijun


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Автор: Talaat Sherif, Fu Haijun
Название:  Powershell 3.0 Advanced Administration Handbook
ISBN: 9781849686426
Издательство: Packt Publishing
Классификация:


ISBN-10: 1849686424
Обложка/Формат: Paperback
Страницы: 370
Вес: 0.63 кг.
Дата издания: 28.03.2013
Язык: English
Размер: 23.50 x 19.05 x 1.96 cm
Читательская аудитория: General (us: trade)
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Поставляется из: США


Symplectic Pseudospectral Methods for Optimal Control: Theory and Applications in Path Planning

Автор: Wang Xinwei, Liu Jie, Peng Haijun
Название: Symplectic Pseudospectral Methods for Optimal Control: Theory and Applications in Path Planning
ISBN: 9811534373 ISBN-13(EAN): 9789811534379
Издательство: Springer
Цена: 20962.00 р.
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Описание: The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Symplectic pseudospectral methods for nonlinear optimal control problems with complicated factors (i.e., inequality constraints, state-delay, unspecific terminal time, etc.) are solved under the framework of indirect methods.

Windows Powershell 4.0 for .Net Developers

Автор: Talaat Sherif
Название: Windows Powershell 4.0 for .Net Developers
ISBN: 1849688761 ISBN-13(EAN): 9781849688765
Издательство: Неизвестно
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Цена: 4827.00 р.
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Green Internet of Things (Iot): Energy Efficiency Perspective

Автор: Zhou Zhenyu, Chang Zheng, Liao Haijun
Название: Green Internet of Things (Iot): Energy Efficiency Perspective
ISBN: 3030640531 ISBN-13(EAN): 9783030640538
Издательство: Springer
Цена: 25342.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Preface

1 Introduction

2 Energy-Efficient Resource Allocationin for D2D Enabled Cellular

Networks

2.1 Energy-Efficient Resource Allocation Problem

2.1.1 System Model

2.1.2 Problem Formulation

2.2 Energy-Efficient Stable Matching for D2D Communications

2.2.1 Preference Establishment

2.2.2 Energy-Efficient Stable Matching

2.3 Performance Results and Discussions

3 Energy Harvesting Enabled Energy Efficient Cognitive

Machine-to-Machine Communications

3.1 Framework of Energy-Efficient Resource Allocation for

EH-Based CM2M

3.1.1 Data Transmission Model

3.1.2 Energy Harvesting and Energy Consumption Model

3.1.3 Energy Efficient Resource Allocation Problem

Formulation

3.2 Energy Efficient Joint Channel Selection, Peer Discovery, Power

Control and Time Allocation for EH-CM2M Communications

3.2.1 Matching Based Problem Transformation

3.2.2 First-Stage Joint Power Control and Time Allocation

Optimization

3.2.3 Preference List Construction

1

2 Contents

3.2.4 Second-Stage Joint Channel Selection and Peer

Discovery Based on Matching

3.3 Performance Results and Discussions

3.3.1 Improve Average Energy Efficiency of M2M-TXs

3.3.2 Improve Average Energy Efficiency of M2M Pairs.

4 Software Defined Machine-to-Machine Communication for Smart

Energy Management in Power Grids

4.1 Framework of Energy-Efficient SD-M2M for Smart Energy

Management

4.1.1 Architecture Overview

4.1.2 The Benefits of the SD-M2M

4.2 Software-Defined M2M Communication for Smart Energy

Management Applications

4.3 Case Study and Analysis

4.3.1 Improve Spectral Efficiency

4.3.2 Reduce the Total Energy Generation Cost.

5 Energy-Efficient M2M Communications in for Industrial

Automation

5.1 Framework of Energy-Efficient M2M Communications

5.2 Contract-Based Incentive Mechanism Design for Access Control

5.2.1 MTC Type Modeling

5.2.2 Contract Formulation

5.2.3 Contract Optimization

5.3 Resource Allocation Base on Lyapunov Optimization and

Matching Theory

5.3.1 Dynamic Queue Model

5.3.2 Problem Formulation and Transformation

5.3.3 Joint Rate Control, Power Allocation and Channel

Selection

5.4 Performance Results and Discussions

5.4.1 Feasibility and Efficiency of Access Control Mechanism

5.4.2 Feasibility and Efficiency of Resource Allocation Scheme

6 Energy-Efficient Context-Aware Resource Allocation for

Edge-Computing-Empowered Industrial IoT

6.1 Framework of Energy-Efficient Edge-Computing-Empowered IIoT

6.1.1 System Model

6.1.2 Problem Formulation

6.2 Learning-Based Context-Aware Channel Selection for the

Single-MTD Scenario

6.2.1 Lyapunov Based Problem Transformation

Contents

6.2.2 SEB-GSI Algorithm for the Ideal Case

6.2.3 SEB-UCB Algorithm for the Nonideal Case

6.3 Learing-Based Context-Aware Channel Selcetion for the

Multi-MTD Scenario

6.3.1 SEB-MGSI Algorithm for the Ideal Case

6.3.2 SEBC-MUCB Algorithm for the Nonideal Case

6.4 Performance Results and Discussions

6.4.1 Performance under the Single-MTD Scenario

6.4.2 Performance under the Multi-MTD Scenario

7 Licensed and Unlicensed Spectrum Management for Energ

Neural Computing for Advanced Applications: First International Conference, NCAA 2020, Shenzhen, China, July 3-5, 2020, Proceedings

Автор: Zhang Haijun, Zhang Zhao, Wu Zhou
Название: Neural Computing for Advanced Applications: First International Conference, NCAA 2020, Shenzhen, China, July 3-5, 2020, Proceedings
ISBN: 9811576696 ISBN-13(EAN): 9789811576690
Издательство: Springer
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Цена: 12577.00 р.
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Описание:

Adaptive Multiple-view Label Propagation for Semi-Supervised Classication.- Container Damage Identication based on Fmask-RCNN.- Multiagent Reinforcement Learning for Combinatorial Optimization.- Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for An Anchor-Hole Driller.- Exploring Multi-scale Deep Encoder-decoder and PatchGAN for Perceptual Ultrasound Image Super-resolution.- Reliable neighbors-based Collaborative Filtering for Recommendation Systems.- Downhole condition identication for geological drilling processes based on qualitative trend analysis and expert rules.- Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems.- Mengh Generalized Locally-linear embedding: A Neural Network Implementation.- Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine.- Tailored Pruning via Rollback Learning.- Coordinative Hyper-Heuristic Resource Scheduling in Mobile Cellular Networks.- Latent Sparse Discriminative Learning for Face Image Set Classication.- Sparse multi-task least-squares support vector machine.- Discriminative Subspace Learning for Cross-view Classication with Simultaneous Local and Global Alignment.- A Recognition Method of Hand Gesture based on Dual-SDAE.- Image Generation from Layout via Pair-wise RaGAN.- Learning Unsupervised Video Summarization with Semantic-consistent Network.- Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables.- 2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making.- Cross-Modal N-Pair Network for Generalized Zero-Shot Learning.- A Bi-Directional Relation Aware Network for Link Prediction in Knowledge Graph.- Deep K-Means: A Simple and Eective Method for Data Clustering.- Brain Storm Optimization Algorithms: A Brief Review.- A Binary Superior Tracking Articial Bee Colony for Feature Selection.- A Hybrid Neural Network RBERT-C based on Pre-trained RoBERTa and CNN for User Intent Classication.- Image Registration Algorithm Based on Manifold Regularization with Thin-plate Spline Model.- Optimal Control of Nonlinear Time-delay Systems with Input Constraints Using Reinforcement Learning.- Disaggregated Power System Signal Recognition using Capsule Network.- Design of echo state network with coordinate descent method and l1 regularization.- An advanced actor-critic algorithm for training video game AI.- Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass.- A Novel Collision-Avoidance TDMA MAC Protocol for Fog-assisted VCNs.- Design optimization of plate-n heat exchanger using sine cosine algorithm.- Mr-ResNeXt: A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea.- Scalable Multi-Agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games.- Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction.- Multi-period Distributed Delay-sensitive Tasks Ooading in a Two-layer Vehicular Fog Computing Architecture.- Template-Enhanced Aspect Term Extraction with Bi-contextual Convolutional Neural Networks.- Privacy Sensitive Large-Margin Model for Face De-identication.- Balancing of Bike-sharing networks via constrained model predictive control.- RLV Reentry Trajectory Optimization Design Based on Improved Differential Evolution Algorithm.- A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition.

Contemporary arab american women writers

Автор: Talaat Abdelrazek, Amal
Название: Contemporary arab american women writers
ISBN: 1934043710 ISBN-13(EAN): 9781934043714
Издательство: Неизвестно
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Цена: 14477.00 р.
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PowerShell: Automating Administrative Tasks: The art of automating and managing Windows environments

Автор: Talaat Sherif, Shepard Michael, Venkatesan Chendrayan
Название: PowerShell: Automating Administrative Tasks: The art of automating and managing Windows environments
ISBN: 1787123758 ISBN-13(EAN): 9781787123755
Издательство: Неизвестно
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Цена: 15631.00 р.
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Talaat Pasha: Father of Modern Turkey, Architect of Genocide

Автор: Kieser Hans-Lukas
Название: Talaat Pasha: Father of Modern Turkey, Architect of Genocide
ISBN: 0691157626 ISBN-13(EAN): 9780691157627
Издательство: Wiley
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Цена: 5544.00 р.
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Описание:

Talat Pasha (1874-1921) led the triumvirate that ruled the late Ottoman Empire during World War I and is arguably the father of modern Turkey. He was also the architect of the Armenian Genocide, which would result in the systematic extermination of more than a million people, and which set the stage for a century that would witness atrocities on a scale never imagined. Here is the first biography in English of the revolutionary figure who not only prepared the way for Ataturk and the founding of the republic in 1923, but who shaped the modern world as well.

In this explosive book, Hans-Lukas Kieser provides a mesmerizing portrait of a man who maintained power through a potent blend of the new Turkish ethno-nationalism, the political Islam of former Sultan Abdulhamid II, and a readiness to employ radical "solutions" and violence. From Talat's role in the Young Turk Revolution of 1908 to his exile from Turkey and assassination--a sensation in Weimar Germany--Kieser restores the Ottoman drama to the heart of world events. He shows how Talat wielded far more power than previously realized, making him the de facto ruler of the empire. He brings wartime Istanbul vividly to life as a thriving diplomatic hub, and reveals how Talat's cataclysmic actions would reverberate across the twentieth century.

In this major work of scholarship, Kieser tells the story of the brilliant and merciless politician who stood at the twilight of empire and the dawn of the age of genocide.

Theory and Design Methods of Special Space Orbits

Автор: Zhang Yasheng, Xu Yanli, Zhou Haijun
Название: Theory and Design Methods of Special Space Orbits
ISBN: 981109747X ISBN-13(EAN): 9789811097478
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Overview of Classical Orbits.- The Concept and Application of Special Orbits.- The Theory and Design Method of Hovering Orbits.- The Theory and Design Method of Spiral Cruising Orbits.- The Theory and Design Method of Multi-Target Rendezvous Orbits Based on Traversing Point.- The Theory and Design Method of Initiative Approaching Orbits.- The Theory and Design Method of Responsive Orbits.- The Theory and Design Method of Earth Pole-Sitter Orbits.


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