Search Results - (((((((ant OR mantis) OR wanti) OR makart) OR cantor) OR anne) OR share) OR hints) algorithms.

Legitimate applications of peer to peer networks by Verma, Dinesh C.

Table of Contents: “…-- Organization of the Book -- 1 The Peer-to-Peer Architecture -- 1.1 Distributed Applications -- 1.1.1 A Distributed Computing Example -- 1.1.2 Client-Server Architecture -- 1.1.3 Peer-to-Peer Architecture -- 1.2 The Peer-to-Peer Software Structure -- 1.2.1 Base Overlay Layer -- 1.2.2 Middleware Functions -- 1.2.3 Application Layer -- 1.3 Comparison of Architectures -- 1.3.1 Ease of Development -- 1.3.2 Manageability -- 1.3.3 Scalability -- 1.3.4 Administrative Domains -- 1.3.5 Security -- 1.3.6 Reliability -- 2 Peer Discovery and Overlay Formation -- 2.1 Discovery -- 2.1.1 Static Configuration -- 2.1.2 Centralized Directory -- 2.1.3 Using the Domain Name Service -- 2.1.4 Member Propagation Techniques with Initial Member Discovery -- 2.2 Overlay Formation -- 2.2.1 Creating an Overlay Link -- 2.3 Topology Selection -- 2.3.1 Random Mesh Formation -- 2.3.2 Tiered Formation -- 2.3.3 Ordered Lattices -- 3 Application-Layer Multicast -- 3.1 General Multicast Techniques -- 3.1.1 Group Addressing -- 3.1.2 Group Maintenance -- 3.1.3 Message Forwarding Scheme -- 3.1.4 Multicast Routing -- 3.1.5 Secure Multicast -- 3.1.6 Reliable Multicast -- 3.1.7 Multicast Flow and Congestion Control -- 3.2 Network-Layer Multicast"IP Multicast -- 3.2.1 Problems with IP-Layer Multicast -- 3.3 Application-Layer Multicast -- 3.3.1 Broadcast Mechanisms in Peer-to-Peer Networks -- 3.3.2 Multicast in Peer-to-Peer Overlays -- 4 File-Sharing Applications -- 4.1 File-Sharing Overview -- 4.1.1 Disk Space Management -- 4.1.2 File Indexing -- 4.1.3 File Search/Retrieval -- 4.1.4 Access Control and Security -- 4.1.5 Anonymous File Retrieval -- 4.1.6 Search Acceleration Techniques -- 4.1.7 Digital Rights Management -- 4.2 Usage of File-Sharing Applications -- 4.2.1 Limitations of File-Sharing Applications -- 4.3 Preventing Unauthorized File Sharing -- 4.3.1 Firewall-Based Techniques -- 4.3.2 Asset Inventory -- 4.3.3 Port Scanning -- 4.3.4 Usage-Based Rate Control -- 4.3.5 Malicious Participation -- 5 File Storage Service -- 5.1 Handle Management -- 5.2 Retrieving Files with Handles -- 5.2.1 Circular Ring Routing -- 5.2.2 Plaxton Scheme -- 5.2.3 CAN Routing Algorithm -- 5.2.4 Modified Network Routing Schemes -- 5.2.5 Modified Broadcast -- 5.3 Miscellaneous Functions -- 5.3.1 Access Control -- 5.3.2 Availability and Reliability -- 5.4 Usage Scenarios -- 5.4.1 Distributed File Systems -- 5.4.2 Anonymous Publishing -- 6 Data Backup Service -- 6.1 The Traditional Data Management System -- 6.2 The Peer-to-Peer Data Management System -- 6.2.1 The Backup/Restore Manager -- 6.2.2 The Peer Searcher -- 6.2.3 The File Searcher -- 6.2.4 The Properties Manager -- 6.2.5 The Data Manager -- 6.2.6 The Schedule Manager -- 6.3 Security Issues -- 6.4 Hybrid Data Management Approach -- 6.5 Feasibility of Peer-to-Peer Data Backup Service -- 7 Peer-to-Peer Directory System -- 7.1 LDAP Dir.…”
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Microbiological sensors for the drinking water industry

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Multicriteria decision aid and artificial intelligence : links, theory and applications by Doumpos, Michael

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Automatic Modeling and Fault Diagnosis of Timed Concurrent Discrete Event Systems : Automatische Modellierung und Fehlerdiagnose Zeitlicher Nebenläufiger Ereignisdiskreter Systeme.... by Schneider, Stefan

Table of Contents: “…3.3.3 Precision and Completeness Properties3.3.4 Identification Parameters; 3.4 Timed Distributed Modeling; 3.5 Identification of Timed Distributed Models; 3.5.1 Timed Distributed Identification Approach; 3.5.2 Precision and Completeness Properties; 3.5.3 Discussion on Shared I/Os; 3.6 Identification of Timed Distributed BMS Models; 3.6.1 Data Collection; 3.6.2 Timed Distributed Identification; 4 Partitioning of DES Models; 4.1 Preliminaries; 4.2 Causal Partitioning; 4.2.1 Distance and Causality; 4.2.2 Causal Partitioning Algorithm; 4.3 Optimal Partitioning; 4.3.1 Optimization Approach.…”
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Combinatorial and Computational Mathematics : Present and Future.

Table of Contents: “…2 LIST OF APPLICABLE MATHEMATICS IN SOCIAL SCIENCE3 SOCIAL WELFARE FUNCTIONS (SWF); 4 PROSPECTS; 5 OPEN PROBLEMS; References; Twelve Views of Matroid Theory; INTRODUCTION; 1 LINEAR DEPENDENCE WITHOUT SCALARS; 2 BASIS EXCHANGE PROPERTIES; 3 GEOMETRIC LATTICES; 4 GRAPH THEORY WITHOUT VERTICES; 5 GRAPH THEORY AND LEAN LINEAR ALGEBRA; 6 VARIETIES OF FINITE MATROIDS; 7 SECRET-SHARING MATROIDS; 8 GREEDY ALGORITHMS, MATROID INTERSECTION, AND MATROID PARTITION; 9 MATRIX MULTIPLICATION AND THE CAUCHY-BINET IDENTITY; 10 BASIS GENERATING FUNCTIONS AND THE MATRIX-TREE THEOREM…”
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Language, vision, and music : selected papers from the 8th International Workshop on the Cognitive Science of Natural Language Processing, Galway, Ireland, 1999

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Applied Artificial Intelligence : Proceedings of the 7th International FLINS Conference. by Arena, Paolo, Fortuna, Luigi

Table of Contents: “…An extended branch-and-bound algorithm for fuzzy linear bilevel programming / G. …”
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Biological systematics : principles and applications by Brower, Andrew V. Z. (Andrew Van Zandt), 1962-, Schuh, Randall T.

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Hack proofing your network

Table of Contents: “…</br><br> Knowing What To Expect in the Rest of This Book</br><br> Understanding the Current Legal Climate</br><br> Summary</br><br> Frequently Asked Questions</br><br>Chapter 2 The Laws of Security</br><br> Introduction</br><br> Knowing the Laws of Security</br><br> Client-Side Security Doesn't Work</br><br> You Cannot Securely Exchange Encryption Keys without a Shared Piece of Information</br><br> Malicious Code Cannot Be 100 Percent Protected against</br><br> Any Malicious Code Can Be Completely Morphed to Bypass Signature Detection</br><br> Firewalls Cannot Protect You 100 Percent from Attack</br><br> Social Engineering</br><br> Attacking Exposed Servers</br><br> Attacking the Firewall Directly</br><br> Client-Side Holes</br><br> Any IDS Can Be Evaded</br><br> Secret Cryptographic Algorithms Are Not Secure</br><br> If a Key Is Not Required, You Do Not Have Encryption-You Have Encoding</br><br> Passwords Cannot Be Securely Stored on the Client Unless There Is Another Password to Protect Them</br><br> In Order for a System to Begin to Be Considered Secure, It Must Undergo an Independent Security Audit</br><br> Security through Obscurity Does Not Work</br><br> Summary </br><br> Solutions Fast Track</br><br> Frequently Asked Questions</br><br>Chapter 3 Classes of Attack</br><br> Introduction</br><br> Identifying and Understanding the Classes of Attack </br><br> Denial of Service</br><br> Information Leakage</br><br> Regular File Access</br><br> Misinformation</br><br> Special File/Database Access</br><br> Remote Arbitrary Code Execution</br><br> Elevation of Privileges</br><br> Identifying Methods of Testing for Vulnerabilities</br><br> Proof of Concept</br><br> Standard Research Techniques</br><br> Summary</br><br> Solutions Fast Track</br><br> Frequently Asked Questions</br><br>Chapter 4 Methodology</br><br> Introduction</br><br> Understanding Vulnerability Research Methodologies</br><br> Source Code Research</br><br> Binary Research</br><br> The Importance of Source Code Reviews</br><br> Searching Error-Prone Functions</br><br> Reverse Engineering Techniques</br><br> Disassemblers, Decompilers, and Debuggers</br><br> Black Box Testing</br><br> Chips</br><br> Summary</br><br> Solutions Fast Track</br><br> Frequently Asked Questions</br><br>Chapter 5 Diffing</br><br> Introduction</br><br> What Is Diffing?…”
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Advanced wireless networks : technology and business models by Glisic, Savo G.

Table of Contents: “…16.1 Introduction 523 -- 16.2 Layering as Optimization Decomposition 524 -- 16.3 Cross-Layer Optimization 533 -- 16.4 Optimization Problem Decomposition Methods 543 -- References 554 -- 17 Network Information Theory 557 -- 17.1 Capacity of Ad Hoc Networks 557 -- 17.2 Information Theory and Network Architectures 569 -- 17.3 Cooperative Transmission in Wireless Multihop Ad Hoc Networks 577 -- References 584 -- 18 Stability of Advanced Network Architectures 585 -- 18.1 Stability of Cooperative Cognitive Wireless Networks 585 -- 18.2 System Model 586 -- 18.4 Optimal Control Policy 592 -- 18.5 Achievable Rates 594 -- 18.6 Stabilizing Transmission Policies 598 -- References 605 -- 19 Multi-Operator Spectrum Sharing 607 -- 19.1 Business Models for Spectrum Sharing 607 -- 19.2 Spectrum Sharing in Multi-hop Networks 638 -- References 656 -- 20 Large Scale Networks and Mean Field Theory 659 -- 20.1 MFT for Large Heterogeneous Cellular Networks 659 -- 20.2 Large Scale Network Model Compression 664 -- 20.3 Mean Field Theory Model of Large Scale DTN Networks 668 -- 20.4 Mean Field Modeling of Adaptive Infection Recovery in Multicast DTN Networks 674 -- 20.5 Mean Field Theory for Scale-Free Random Networks 701 -- 20.6 Spectrum Sharing and MFT 709 -- 20.7 Modeling Dynamics of Complex System 711 -- Appendix A.20 Iterative Algorithm to Solve Systems of Nonlinear ODEs (DiNSE-Algorithm) 721 -- Appendix B.20 Infection Rate of Destinations for DNCM 722 -- Appendix C.20 Infection Rate for Basic Epidemic Routing 722 -- References 722 -- 21 mmWave Networks 726 -- 21.1 mmWave Technology in Subcellular Architecture 726 -- 21.2 Microeconomics of Dynamic mmWave Networks 737 -- References 747 -- 22 Cloud Computing in Wireless Networks 750 -- 22.1 Technology Background 750 -- 22.2 System Model 752 -- 22.3 System Optimization 756 -- 22.4 Dynamic Control Algorithm 758 -- 22.5 Achievable Rates 761 -- 22.6 Stabilizing Control Policies 763 -- References 769 -- 23 Wireless Networks and Matching Theory 771.…”
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Politics of disinformation : the influence of fake news on the public sphere

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Applied mechanics and manufacturing technology : selected, peer reviewed papers of the 2011 International Conference on Applied Mechanics and Manufacturing Technology (AMMT 2011),...

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AI and the future of banking by Boobier, Tony, 1956-

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Getting Started with Greenplum for Big Data Analytics. by Gollapudi, Sunila

Table of Contents: “…Greenplum Unified Analytics Platform (UAP) -- Big Data analytics -- platform requirements -- Greenplum Unified Analytics Platform (UAP) -- Core components -- Greenplum Database -- Hadoop (HD) -- Chorus -- Command Center -- Modules -- Database modules -- HD modules -- Data Integration Accelerator (DIA) modules -- Core architecture concepts -- Data warehousing -- Column-oriented databases -- Parallel versus distributed computing/processing -- Shared nothing, massive parallel processing (MPP) systems, and elastic scalability -- Shared disk data architecture -- Shared memory data architecture -- Shared nothing data architecture -- Data loading patterns -- Greenplum UAP components -- Greenplum Database -- The Greenplum Database physical architecture -- The Greenplum high-availability architecture -- High-speed data loading using external tables.…”
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Wireless sensor systems for extreme environments : space, underwater, underground and industrial

Table of Contents: “…Chapter 4 On Improving Connectivity-based Localization in Wireless Sensor Networks4.1 Introduction; 4.2 Connectivity-based Localization in One-hop Networks; 4.2.1 The Centroid Algorithm; 4.2.2 Improved Centroid Algorithms; 4.3 Connectivity-based Localization in Multi-hop Networks; 4.3.1 The DV-hop Algorithm; 4.3.2 Mathematics of Hop-count-based Localization; 4.4 On Improving Connectivity-based Localization; 4.4.1 Improvements by Adjusting Correction Factor; 4.4.2 Improvements by Exploiting Neighborhood Information; 4.5 Summary; References.…”
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Debates in the digital humanities 2016

Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
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Data Science : The Executive Summary - a Technical Book for Non-Technical Professionals. by Cady, Field

Table of Contents: “…Chapter 3 Working with Modern Data -- 3.1 Unstructured Data and Passive Collection -- 3.2 Data Types and Sources -- 3.3 Data Formats -- 3.3.1 CSV Files -- 3.3.2 JSON Files -- 3.3.3 XML and HTML -- 3.4 Databases -- 3.4.1 Relational Databases and Document Stores -- 3.4.2 Database Operations -- 3.5 Data Analytics Software Architectures -- 3.5.1 Shared Storage -- 3.5.2 Shared Relational Database -- 3.5.3 Document Store + Analytics RDB -- 3.5.4 Storage + Parallel Processing -- Chapter 4 Telling the Story, Summarizing Data -- 4.1 Choosing What to Measure…”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Parallel Programming with Python. by Palach, Jan

Table of Contents: “…; Exploring common forms of parallelization; Communicating in parallel programming; Understanding shared state; Understanding message passing; Identifying parallel programming problems; Deadlock; Starvation; Race conditions; Discovering Python's parallel programming tools; The Python threading module; The Python multiprocessing module.…”
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Environmental modeling with GIS

Table of Contents: “…Mapping of the Dust Emission Sources -- 6.2. Sharing Data between Dispersion Modeling Tools and GIS -- 6.3. …”
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