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Object-Oriented Project Management with UML

Almost all software projects are risky. The goal of every project manager is to somehow deal with the cost and schedule uncertainty while meeting your customer's needs. In Object-Oriented Project Management with UML, Murray Cantor describes an elegant, UML-based approach to managing object-oriented projects guaranteed to deliver high-quality software on time and within budget. Drawing on his experience managing major software projects at IBM and TASC, Cantor supplies you with: * Proven ways to reap the benefits of using UML tools to tame most project demons and deliver optimal OO systems * Tips on integrating object-based techniques with traditional methods for project planning, risk management, scheduling, time-phased budgeting, and more * Expert advice on how to handle all the important "people" issues that crop up during a development project * Real-life war stories that let you see firsthand what worked and what didn't on several major development projects * A full-length project example that walks you through every phase of a project told in terms of problems and solutions Visit the companion Web site at www.wiley.com/compbooks/cantor to find: * Sample project schedules, budgets, database templates for managing use cases, and a work-breakdown structure * A spreadsheet workbook for managing incremental development * A development tracking diagram Prior to joining TASC, Dr. Cantor was a development manager at IBM, where he oversaw the development of high-end graphics and multimedia systems.

In Object-Oriented Project Management with UML, Murray Cantor describes an elegant, UML-based approach to managing object-oriented projects guaranteed to deliver high-quality software on time and within budget.

Exploring the Practications of Brain-based Instruction in Higher Education

"The study of brain-based teaching techniques in primary and secondary schools has, in some cases, resulted in altering entire curricula to accommodate brain-based strategies in classrooms; however, the published literature on brain-based ...

Mülki idare amirlerinin mahalli idareler üzerindeki idari vesayet yetkileri/ Yunus Can İnal

Mahalli mesken araştırmaları

nasıl yapılır ve bu araştırmalardan nasıl faydalanılır

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Theory and Applications

This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.

Theory and Applications Oscar Castillo, Patricia Melin. Table 12 Simulation
results for the sum squared function Bat algorithm Fuzzy Bat algorithm Number of
bats Best Number of bats Best 30 0.000006 10 0.00899885 The results of the
tests of the Sum Squared function between the original method and the proposed
one taking the best result of 30 experiments for each method are shown in Table
12.

Fuzzy Logic-Based Algorithms for Video De-Interlacing

The ‘Fuzzy Logic’ research group of the Microelectronics Institute of Seville is composed of researchers who have been doing research on fuzzy logic since the beginning of the 1990s. Mainly, this research has been focused on the microel- tronic design of fuzzy logic-based systems using implementation techniques which range from ASICs to FPGAs and DSPs. Another active line was the development of a CAD environment, named Xfuzzy, to ease such design. Several versions of Xfuzzy have been and are being currently developed by the group. The addressed applications had basically belonged to the control ?eld domain. In this sense, s- eral problems without a linear control solution had been studied thoroughly. Some examples are the navigation control of an autonomous mobile robot and the level control of a dosage system. The research group tackles a new activity with the work developed in this book: the application of fuzzy logic to video and image processing. We addressed our interest to problems related to pixel interpolation, with the aim of adapting such interpolation to the local features of the images. Our hypothesis was that measures and decisions to solve image interpolation, which traditionally had been done in a crisp way, could better be done in a fuzzy way. Validation of this general hypothesis has been done speci?cally in the interpolation problem of video de-interlacing. - interlacing is one of the main tasks in video processing.

Algorithm. for. Video. De-Interlacing. Abstract. The ability of fuzzy logic-based
systems for video de-interlacing is ex- plored in this Chapter. Particularly, our
study is focused on how motion-adaptive de-interlacing can be performed by a
fuzzy logic-based system. This Chapter is structured as follows. Firstly, several
motion-adaptive strategies are described in Section 2.1. The starting point of our
study is the algorithm developed by Van de Ville et al. in [6] described in Section
2.2.

Telaah kritis administrasi & manajemen sektor publik di Indonesia

menuju sistem penyediaan barang dan penyelenggaraan pelayanan yang berorientasi publik

On administration and management of public services in Indonesia.