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Author: Wilhelm A. Hennerkes Publisher: Springer Science & Business Media ISBN: 3642754465 Category : Business & Economics Languages : en Pages : 164
Book Description
This handbook gives a detailed introduction to the Time Series Database System MAXDATA, which offers a very simple and convenient handling of voluminous numerical databases on a personal computer. It may be regarded as a special education and teaching instrument for the management and evaluation of empirical data and will teach the reader how to do empirical work without any effort. The handbook aims to give the reader a precise idea of the creation, management, documentation and evaluation of voluminous numerical databases on a microcomputer and gives some tips for managing individual numerical databases, but also for having direct access to official national and international economic offline databases. We believe that you will not regret your decision to use MAXDATA in your day-to-day work with statistical data, analyses, graphics, reports etc. Our aim was to design a software product which solves all the major problems associated with professional, decentralized data processing, whilst meeting the highest user requirements for user-friendliness and performance. We hope we have succeeded; positive user response appear to prove our point. Why MAXDATA was created MAXDATA was born of frustration at the multiplicity of computer programs flooding the software market, many of which offer extremely high performance (almost to the point of confusion) but which can generally only be used by computer specialists or those who have undergone a long period of training.
Author: Wilhelm A. Hennerkes Publisher: Springer Science & Business Media ISBN: 3642754465 Category : Business & Economics Languages : en Pages : 164
Book Description
This handbook gives a detailed introduction to the Time Series Database System MAXDATA, which offers a very simple and convenient handling of voluminous numerical databases on a personal computer. It may be regarded as a special education and teaching instrument for the management and evaluation of empirical data and will teach the reader how to do empirical work without any effort. The handbook aims to give the reader a precise idea of the creation, management, documentation and evaluation of voluminous numerical databases on a microcomputer and gives some tips for managing individual numerical databases, but also for having direct access to official national and international economic offline databases. We believe that you will not regret your decision to use MAXDATA in your day-to-day work with statistical data, analyses, graphics, reports etc. Our aim was to design a software product which solves all the major problems associated with professional, decentralized data processing, whilst meeting the highest user requirements for user-friendliness and performance. We hope we have succeeded; positive user response appear to prove our point. Why MAXDATA was created MAXDATA was born of frustration at the multiplicity of computer programs flooding the software market, many of which offer extremely high performance (almost to the point of confusion) but which can generally only be used by computer specialists or those who have undergone a long period of training.
Author: Yair M. Altman Publisher: CRC Press ISBN: 1482211300 Category : Computers Languages : en Pages : 768
Book Description
The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with tho
Author: Enrico Macii Publisher: Springer ISBN: 3540302050 Category : Technology & Engineering Languages : en Pages : 926
Book Description
WelcometotheproceedingsofPATMOS2004,thefourteenthinaseriesofint- national workshops. PATMOS 2004 was organized by the University of Patras with technical co-sponsorship from the IEEE Circuits and Systems Society. Over the years, the PATMOS meeting has evolved into an important - ropean event, where industry and academia meet to discuss power and timing aspects in modern integrated circuit and system design. PATMOS provides a forum for researchers to discuss and investigate the emerging challenges in - sign methodologies and tools required to develop the upcoming generations of integrated circuits and systems. We realized this vision this year by providing a technical program that contained state-of-the-art technical contributions, a keynote speech, three invited talks and two embedded tutorials. The technical program focused on timing, performance and power consumption, as well as architectural aspects, with particular emphasis on modelling, design, charac- rization, analysis and optimization in the nanometer era. This year a record 152 contributions were received to be considered for p- sible presentation at PATMOS. Despite the choice for an intense three-day m- ting, only 51 lecture papers and 34 poster papers could be accommodated in the single-track technical program. The Technical Program Committee, with the - sistance of additional expert reviewers, selected the 85 papers to be presented at PATMOS and organized them into 13 technical sessions. As was the case with the PATMOS workshops, the review process was anonymous, full papers were required, and several reviews were received per manuscript.
Author: Xiaofang Zhou Publisher: Springer ISBN: 3642008879 Category : Computers Languages : en Pages : 815
Book Description
This book constitutes the refereed proceedings of the 14th International Conference on Database Systems for Advanced Applications, DASFAA 2009, held in Brisbane, Australia, in April 2009. The 39 revised full papers and 22 revised short papers presented together with 3 invited keynote papers, 9 demonstration papers, 3 tutorial abstracts, and one panel abstract were carefully reviewed and selected from 186 submissions. The papers are organized in topical sections on uncertain data and ranking, sensor networks, graphs, RFID and data streams, skyline and rising stars, parallel and distributed processing, mining and analysis, XML query, privacy, XML keyword search and ranking, Web and Web services, XML data processing, and multimedia.
Author: Denise Tsang Publisher: Edward Elgar Publishing ISBN: 9781782542988 Category : Business & Economics Languages : en Pages : 280
Book Description
'The backward linkage strategies of major multinationals differ significantly between firms within the same industry. In this provocative book, Denise Tsang explains these differences in strategy in terms of the culture of the parent company and the age of the firm. Her case study of the European microcomputer industry encompasses major multinationals from the US, Japan, Taiwan and Korea, and includes both long-established firms and recent start-ups. It contains a wealth of fascinating detail which she elegantly synthesises to support her thesis.' - Mark Casson, University of Reading, UK 'This book is a major contribution to our understanding of international business strategy. It adopts a unique culturist view that has been long neglected by mainstream strategy theorists.' - Geoffrey G. Jones, Harvard Business School, US This timely book investigates the importance of national culture as it applies to the strategic management of multinationals. The author focuses on backward linkage strategies within US, Japanese, Taiwanese and Korean microcomputer multinationals investing in Europe. In particular, both market-driven and resource-driven strategic orientations are depicted in new and established firms.
Author: Hamzan Wadi Publisher: Turida Publisher ISBN: Category : Computers Languages : en Pages : 207
Book Description
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.
Author: Wilhelm A. Hennerkes
Author: Wilhelm A. Hennerkes
Author: Arthur Best
Author: 
Author: Yair M. Altman
Author: Enrico Macii
Author: Xiaofang Zhou
Author: 
Author: Denise Tsang
Author: 
Author: Hamzan Wadi