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Download or read book Networking in Easy Steps written by Peter Ingram and published by . This book was released on 1998 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Publisher: Dreamtech Press
Published: 2004-09-20
Total Pages: 196
ISBN-13: 9788177225006
DOWNLOAD EBOOKNetworking in easy steps is a clear, practical guide for anyone who wants to take their first steps in computer networking. Whether you're thinking of setting up a wired or wireless, home or small office network, or starting a community wireless network to share broadband Internet access in your neighborhood, this book will show you how.The book takes you through the basics of wired Ethernet networks and the various types of wireless network - public hotspots as well as ad hoc and infrastructure modes. For each type of network, hardware selection and installation, and both basic and more advanced configuration are covered in detail. Key topics such as wireless network security and network troubleshooting are also covered extensively.For those who want to understand a little about what makes it all work, the detailed step by step guides to network setup are complemented by short descriptions of some of the technological aspects of networks, and a web directory of useful information sites plus a comprehensive glossary will help you to develop your networking knowledge and skills. A look at some new and upcoming developments in home networking will show you what's in store in the digital home of the not so distant future.
Download or read book Networking In Easy Steps (2004 Edition) written by and published by Dreamtech Press. This book was released on 2004-09-20 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networking in easy steps is a clear, practical guide for anyone who wants to take their first steps in computer networking. Whether you're thinking of setting up a wired or wireless, home or small office network, or starting a community wireless network to share broadband Internet access in your neighborhood, this book will show you how.The book takes you through the basics of wired Ethernet networks and the various types of wireless network - public hotspots as well as ad hoc and infrastructure modes. For each type of network, hardware selection and installation, and both basic and more advanced configuration are covered in detail. Key topics such as wireless network security and network troubleshooting are also covered extensively.For those who want to understand a little about what makes it all work, the detailed step by step guides to network setup are complemented by short descriptions of some of the technological aspects of networks, and a web directory of useful information sites plus a comprehensive glossary will help you to develop your networking knowledge and skills. A look at some new and upcoming developments in home networking will show you what's in store in the digital home of the not so distant future.
Author: Wendell Odom
Publisher: Cisco Press
Published: 2004
Total Pages: 552
ISBN-13: 1587201011
DOWNLOAD EBOOKGain an understanding of internetworking basics with this reader-friendly guide, plus learn about LANs, WANs, remote access, and security. This book is an accessible, easy-to-understand introduction to the language of the Internet, featuring clear, concise explanations.
Download or read book Computer Networking First-step written by Wendell Odom and published by Cisco Press. This book was released on 2004 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain an understanding of internetworking basics with this reader-friendly guide, plus learn about LANs, WANs, remote access, and security. This book is an accessible, easy-to-understand introduction to the language of the Internet, featuring clear, concise explanations.
Author: Keith Schreiter
Publisher:
Published: 2014-08
Total Pages: 96
ISBN-13: 9781892366290
DOWNLOAD EBOOKDownload or read book Start SuperNetworking! written by Keith Schreiter and published by . This book was released on 2014-08 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Thomas Thomas
Publisher: Cisco Press
Published: 2012
Total Pages: 448
ISBN-13: 158720410X
DOWNLOAD EBOOKLearn about network security, including the threats and the ways a network is protected from them. The book also covers firewalls, viruses and virtual private networks.
Download or read book Network Security First-step written by Thomas Thomas and published by Cisco Press. This book was released on 2012 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about network security, including the threats and the ways a network is protected from them. The book also covers firewalls, viruses and virtual private networks.
Author: Xingui He
Publisher: Springer Science & Business Media
Published: 2010-07-05
Total Pages: 240
ISBN-13: 3540737626
DOWNLOAD EBOOKFor the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.
Download or read book Process Neural Networks written by Xingui He and published by Springer Science & Business Media. This book was released on 2010-07-05 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.
Author: Seunghoo Lim
Publisher: Springer Nature
Published: 2021-05-17
Total Pages: 141
ISBN-13: 3030708551
DOWNLOAD EBOOKExtensive previous research has investigated environmental conflict management issues in networked settings and the design of policy networks, but the emergence and evolution of self-organizing policy networks are still not fully understood. Especially misunderstood is the problem of how the multiple motivations or incentives of competing policy actors in conflictual situations affect their structures of interaction, as this issue has not been studied systematically. This book aims to address the following research questions: how do policy stakeholders cope strategically with collective action or environmental conflict resolution? How do they utilize or maintain formal and informal policy networks to resolve problems effectively? What motivates them to engage or be involved in collaborative or conflictual networks? What influences their networking or their decisions on partner selection for conflict resolution? This book consists of four studies. The goal of the first study is to examine the form of a policy network by focusing on how policy networks emerge and evolve at the micro-level to solve collective action dilemmas endemic to decentralized and democratized policy decision-making processes, particularly in the environmental conflict resolution arena. The goal of the second study is to examine the main policy actors and structural characteristics of network governance evolution in the dynamic process of environmental conflict resolution. The goal of the third study is to highlight the role of policy tie formality in the evolution of multiplex ties in the environmental conflict resolution process. The goal of the fourth study is to demonstrate the relationships between patterns of interactions among policy actors and their modified and adjusted strategic behaviours within policy networks and across advocacy coalitions.
Download or read book Policy Network Ties in the Dynamic Process of Environmental Conflict Resolution written by Seunghoo Lim and published by Springer Nature. This book was released on 2021-05-17 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extensive previous research has investigated environmental conflict management issues in networked settings and the design of policy networks, but the emergence and evolution of self-organizing policy networks are still not fully understood. Especially misunderstood is the problem of how the multiple motivations or incentives of competing policy actors in conflictual situations affect their structures of interaction, as this issue has not been studied systematically. This book aims to address the following research questions: how do policy stakeholders cope strategically with collective action or environmental conflict resolution? How do they utilize or maintain formal and informal policy networks to resolve problems effectively? What motivates them to engage or be involved in collaborative or conflictual networks? What influences their networking or their decisions on partner selection for conflict resolution? This book consists of four studies. The goal of the first study is to examine the form of a policy network by focusing on how policy networks emerge and evolve at the micro-level to solve collective action dilemmas endemic to decentralized and democratized policy decision-making processes, particularly in the environmental conflict resolution arena. The goal of the second study is to examine the main policy actors and structural characteristics of network governance evolution in the dynamic process of environmental conflict resolution. The goal of the third study is to highlight the role of policy tie formality in the evolution of multiplex ties in the environmental conflict resolution process. The goal of the fourth study is to demonstrate the relationships between patterns of interactions among policy actors and their modified and adjusted strategic behaviours within policy networks and across advocacy coalitions.
Author: Thomas L. Saaty
Publisher: Springer Science & Business Media
Published: 2013-05-14
Total Pages: 333
ISBN-13: 1461472792
DOWNLOAD EBOOKThe Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles. Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values. In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit.
Download or read book Decision Making with the Analytic Network Process written by Thomas L. Saaty and published by Springer Science & Business Media. This book was released on 2013-05-14 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles. Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values. In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit.
Author: Johannesson, Paul
Publisher: IGI Global
Published: 2008-04-30
Total Pages: 388
ISBN-13: 1599045699
DOWNLOAD EBOOKInformation systems belong to the most complex artifacts built in today's society. Developing, maintaining, and using an information system raises a large number of difficult problems, ranging from purely technical to organizational and social. Information Systems Engineering: From Data Analysis to Process Networks presents the most current research on existing and emergent trends on conceptual modeling and information systems engineering, bridging the gap between research and practice by providing a much-needed reference point on the design of software systems that evolve seamlessly to adapt to rapidly changing business and organizational practices.
Download or read book Information Systems Engineering: From Data Analysis to Process Networks written by Johannesson, Paul and published by IGI Global. This book was released on 2008-04-30 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information systems belong to the most complex artifacts built in today's society. Developing, maintaining, and using an information system raises a large number of difficult problems, ranging from purely technical to organizational and social. Information Systems Engineering: From Data Analysis to Process Networks presents the most current research on existing and emergent trends on conceptual modeling and information systems engineering, bridging the gap between research and practice by providing a much-needed reference point on the design of software systems that evolve seamlessly to adapt to rapidly changing business and organizational practices.
Author: Hamzan Wadi
Publisher: Turida Publisher
Published:
Total Pages: 207
ISBN-13:
DOWNLOAD EBOOKThis book provides a practical explanation of the backpropagation neural networks algorithm and how it can be implemented for image classification. The discussion in this book is presented in step by step so that it will help readers understand the fundamental of the backpropagation neural networks and its steps. This book is very suitable for students, researchers, and anyone who want to learn and implement the backpropagation neural networks for image classification using PYTHON GUI. The discussion in this book will provide readers deep understanding about the backpropagation neural networks architecture and its parameters. The readers will be guided to understand the steps of the backpropagation neural networks for image classification through case example. The readers will be guided to create their own neural networks class and build their complete applications for data image classification. The final objective of this book is that the readers are able to realize each step of the multilayer perceptron neural networks for image classification. In Addition, the readers also are able to create the neural networks applications which consists of two types of applications which are command window based application and GUI based application. Here are the material that you will learn in this book. CHAPTER 1: This chapter will guide you in preparing what software are needed to realize the backpropagation neural networks using Python GUI. The discussion in this chapter will start from installing Python and the libraries that will be used, installing Qt Designer, understanding and using Qt Designer to design the application UI, and the last is about how to create a GUI program using Python and Qt Designer. CHAPTER 2: This chapter discusses the important parts in the backpropagation neural networks algorithm which includes the architecture of the backpropagation neural networks, the parameters contained in the backpropagation neural networks, the steps of the backpropagation neural networks algorithm, and the mathematical calculations of the backpropagation neural networks. CHAPTER 3: This chapter discusses in detail the mathematical calculations of fruit quality classification using the backpropagation neural networks which includes the feature extraction process of fruit images, data normalization, the training process, and the classification process. The feature extraction method used in this case is GLCM (Gray Level Co-occurrence Matrix). The image features that will be used in this case are energy, contrast, entropy, and homogeneity. CHAPTER 4: This chapter discusses how to implement the backpropagation neural networks algorithm for fruit quality classification using Python. This chapter will present the steps to create your backpropagation neural networks class and to define the functions that represent each process of the backpropagation neural networks. This chapter will also present the steps to create a class for image processing. And in final discussion you will be guided to create your backpropagation neural networks application from scratch to classify the quality of fruit. CHAPTER 5: This chapter will discuss how to create a GUI based application for fruit quality classification using the backpropagation neural networks algorithm. This chapter will discuss in detail the steps for designing the application UI by using Qt Designer, the steps for creating a class for the backpropagation neural networks GUI based application, and how to run the GUI based application to classify the fruit data.
Download or read book Step By Step Neural Networks for Image Classification using Python GUI written by Hamzan Wadi and published by Turida Publisher. This book was released on with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a practical explanation of the backpropagation neural networks algorithm and how it can be implemented for image classification. The discussion in this book is presented in step by step so that it will help readers understand the fundamental of the backpropagation neural networks and its steps. This book is very suitable for students, researchers, and anyone who want to learn and implement the backpropagation neural networks for image classification using PYTHON GUI. The discussion in this book will provide readers deep understanding about the backpropagation neural networks architecture and its parameters. The readers will be guided to understand the steps of the backpropagation neural networks for image classification through case example. The readers will be guided to create their own neural networks class and build their complete applications for data image classification. The final objective of this book is that the readers are able to realize each step of the multilayer perceptron neural networks for image classification. In Addition, the readers also are able to create the neural networks applications which consists of two types of applications which are command window based application and GUI based application. Here are the material that you will learn in this book. CHAPTER 1: This chapter will guide you in preparing what software are needed to realize the backpropagation neural networks using Python GUI. The discussion in this chapter will start from installing Python and the libraries that will be used, installing Qt Designer, understanding and using Qt Designer to design the application UI, and the last is about how to create a GUI program using Python and Qt Designer. CHAPTER 2: This chapter discusses the important parts in the backpropagation neural networks algorithm which includes the architecture of the backpropagation neural networks, the parameters contained in the backpropagation neural networks, the steps of the backpropagation neural networks algorithm, and the mathematical calculations of the backpropagation neural networks. CHAPTER 3: This chapter discusses in detail the mathematical calculations of fruit quality classification using the backpropagation neural networks which includes the feature extraction process of fruit images, data normalization, the training process, and the classification process. The feature extraction method used in this case is GLCM (Gray Level Co-occurrence Matrix). The image features that will be used in this case are energy, contrast, entropy, and homogeneity. CHAPTER 4: This chapter discusses how to implement the backpropagation neural networks algorithm for fruit quality classification using Python. This chapter will present the steps to create your backpropagation neural networks class and to define the functions that represent each process of the backpropagation neural networks. This chapter will also present the steps to create a class for image processing. And in final discussion you will be guided to create your backpropagation neural networks application from scratch to classify the quality of fruit. CHAPTER 5: This chapter will discuss how to create a GUI based application for fruit quality classification using the backpropagation neural networks algorithm. This chapter will discuss in detail the steps for designing the application UI by using Qt Designer, the steps for creating a class for the backpropagation neural networks GUI based application, and how to run the GUI based application to classify the fruit data.
