Muutke küpsiste eelistusi

Innovative Technologies in Management and Science 2015 ed. [Kõva köide]

Edited by , Edited by
  • Formaat: Hardback, 213 pages, kõrgus x laius: 235x155 mm, kaal: 4734 g, 86 Illustrations, black and white; XV, 213 p. 86 illus., 1 Hardback
  • Sari: Topics in Intelligent Engineering and Informatics 10
  • Ilmumisaeg: 18-Dec-2014
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319126512
  • ISBN-13: 9783319126517
Teised raamatud teemal:
  • Kõva köide
  • Hind: 95,02 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 111,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 213 pages, kõrgus x laius: 235x155 mm, kaal: 4734 g, 86 Illustrations, black and white; XV, 213 p. 86 illus., 1 Hardback
  • Sari: Topics in Intelligent Engineering and Informatics 10
  • Ilmumisaeg: 18-Dec-2014
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319126512
  • ISBN-13: 9783319126517
Teised raamatud teemal:

This carefully edited book presents recent research in Innovative Technologies in Management and Science, representing a widely spread interdisciplinary research area with many applications in various disciplines including engineering, medicine, technology, or environment, among others. It consists of eleven invited and scholarly edited chapters written by respectable researchers and experts in the fields that integrate ideas and novel concepts in Intelligent Systems and Informatics. Most of the chapters were selected from the initial contributions to the World of Innovation Conference held on April 3, 2012 in Wroclaw, Poland.

The contributions are focusing on research and development of the latest IT technologies, in the field of Cloud Computing, IT modeling, as well as optimization problems. The chapters presented can be grouped into three categories: Innovation supported by Clouds Technology, Innovation proposals in management area, and Theoretical refinement for innovative solutions.

Part I Innovation Supported by Clouds Technology
1 Innovation That Matters -- The IBM Research Way
3(14)
Oded Cohn
1.1 Introduction: Why Innovate?
3(1)
1.2 A History of Innovation - IBM Research
4(2)
1.3 The Shift in Innovation
6(1)
1.4 The Four Pillars of Innovation
7(4)
1.4.1 Innovating People: T-Shaped Individuals
7(1)
1.4.2 Methodology and Processes
8(1)
1.4.3 Structures for Global, Collaborative Innovation
9(1)
1.4.4 Platforms for Collaborative Innovation
9(2)
1.5 Innovation in Services
11(2)
1.6 Smarter Planet: THE Multidisciplinary Innovation
13(3)
1.6.1 Smarter Healthcare
15(1)
1.6.2 Smarter Water Management
15(1)
1.7 Summary
16(1)
References
16(1)
2 Clouds in Higher Education
17(12)
Mladen A. Vouk
2.1 Introduction
17(1)
2.2 Capabilities
18(2)
2.3 Vcl
20(7)
2.3.1 Overview
20(3)
2.3.2 VCL as an Operating System
23(1)
2.3.3 Virtual Campus
24(3)
2.4 Summary
27(2)
References
27(2)
3 "Evolution, Not Revolution": iSeries -- Modern Business Platform
29(14)
Mariusz Koziol
3.1 General Considerations about History
29(1)
3.1.1 Revolution vs Evolution
30(1)
3.2 Success Story: IBM Systemi
30(5)
3.2.1 Rising of AS/400
30(1)
3.2.2 AS/400, OS/400
31(2)
3.2.3 AS/400 Evolution in Shortcuts
33(2)
3.3 iSeries on CSCN WUT
35(8)
3.3.1 2007 Academic Initiative
35(1)
3.3.2 2009yr Starting Own Lab
36(1)
3.3.3 Curriculum Offer
37(1)
3.3.4 wrkIBMi
38(1)
References
39(4)
Part II Innovation Proposals in Management Area
4 A Smart Road Maintenance System for Cities -- An Evolutionary Approach
43(14)
Hari Madduri
4.1 Introduction
43(1)
4.2 Solution Concept and System Structure
44(4)
4.2.1 Concept
44(2)
4.2.2 System Structure
46(1)
4.2.3 Component Descriptions
47(1)
4.3 Making Things Smart
48(2)
4.3.1 Faster and Mostly Automated Problem Reporting
48(1)
4.3.2 Automated Localization and De-duplication
48(1)
4.3.3 Automated Processing, Classification, and Prioritization
49(1)
4.3.4 Rule-Based Processing of Incidents, Service Requests and Work Orders
49(1)
4.3.5 Analytics
50(1)
4.4 Results and Project Status
50(2)
4.4.1 Results
50(1)
4.4.2 Status
51(1)
4.5 Comparison to Related Work
52(3)
4.5.1 Similar Systems
52(1)
4.5.2 Related Work
53(2)
4.6 Conclusion and Future Work
55(2)
References
55(2)
5 Cloud IT as a Base for Virtual Internship
57(16)
Jerzy Kotowski
Mariusz Ochla
5.1 Introduction
57(2)
5.2 Fundamentals of Cloud Computing
59(1)
5.3 Virtual Machine
60(1)
5.4 Deployment Models
60(3)
5.4.1 Problem Description
61(1)
5.4.2 Problem Analysis
61(1)
5.4.3 The Method and the Algorithm
62(1)
5.5 One Hundred Years of Business Machinery Named IBM
63(2)
5.6 The History of Contacts between Wroclaw University of Technology and IBM Corporation
65(1)
5.7 Multipurpose Cloud Center (mc2)
65(1)
5.8 Events
66(1)
5.9 Summary and Future Plans
67(6)
References
71(2)
6 Development of Intelligent eHealth Systems in the Future Internet Architecture
73(22)
Pawel Swiqtek
Krzysztof Brzostowski
Jaroslaw Drapala
Krzysztof Juszczyszyn
Adam Grzech
6.1 Introduction
73(3)
6.2 Systems Architecture
76(3)
6.2.1 IPv6 QoS System
76(1)
6.2.2 Service Stratum Signaling
77(2)
6.3 Future Internet Applications
79(8)
6.3.1 eDiab
79(3)
6.3.2 SmartFit
82(3)
6.3.3 Online Lab
85(2)
6.4 Custom Application
87(4)
6.4.1 Problem Formulation
87(1)
6.4.2 Computational Services
88(1)
6.4.3 Decision-Making Support
89(2)
6.5 Summary and Future Works
91(4)
References
92(3)
7 Understanding Non-functional Requirements for Precollege Engineering Technologies
95(28)
Mario Riojas
Susan Lysecky
Jerzy W. Rozenblit
7.1 Introduction
95(3)
7.2 Problem Statement
98(1)
7.3 Literature Analysis
99(2)
7.4 Research Methodologies
101(4)
7.4.1 Participant Observation
101(2)
7.4.2 Assessment of Engineering Concepts
103(1)
7.4.3 Teacher Interviews
103(2)
7.5 Findings
105(5)
7.5.1 Outcomes of Assessment of Engineering Concepts
105(1)
7.5.2 Outcomes of Structured Interviews
106(1)
7.5.3 Outcomes of Unstructured Interview
107(3)
7.6 A Basic Model for the Development and Adaptation of Learning Technologies
110(6)
7.6.1 Quality Requirements
110(2)
7.6.2 Determining Quality-in-Use of Engineering Learning Technologies
112(4)
7.7 Discussion
116(7)
References
117(6)
Part III Theoretical Refinement for Innovative Solutions
8 FSM-Based Logic Controller Synthesis in Programmable Devices with Embedded Memory Blocks
123(30)
Grzegorz Borowik
Grzegorz Labiak
Arkadiusz Bukowiec
8.1 Preliminaries
124(2)
8.2 Example and Assumptions of Hardware Implementation
126(3)
8.3 Transformation to FSM Model
129(5)
8.4 Synthesis
134(13)
8.4.1 Modern Technologies of Controller Manufacture
135(2)
8.4.2 Functional Decomposition and ROM-Based Synthesis
137(5)
8.4.3 Synthesis Based on Architectural Decomposition
142(5)
8.5 Summary
147(6)
References
149(4)
9 Virtualization from University Point of View
153(18)
Tomasz Babczynski
Agata Brzozowska
Jerzy Greblicki
Wojciech Penar
9.1 Introduction
153(1)
9.2 Cloud Computing
154(2)
9.2.1 Types of Cloud
155(1)
9.2.2 Benefits and Concerns
155(1)
9.2.3 Trends and Examples
156(1)
9.3 Scheduling Algorithm for Virtualization Tasks
156(6)
9.3.1 Problem Description
157(5)
9.4 Virtualization as a Tool in Research - NS3 Network Simulator
162(5)
9.5 Conclusions
167(4)
References
168(3)
10 Metaheuristic Algorithms for the Quadratic Assignment Problem: Performance and Comparison
171(20)
Andreas Beham
Michael Affenzeller
Erik Pitzer
10.1 Introduction
171(3)
10.1.1 Quadratic Assignment Problem
171(2)
10.1.2 Literature Review
173(1)
10.2 Trajectory-Based Algorithms
174(9)
10.2.1 Local Search
175(2)
10.2.2 Simulated Annealing
177(2)
10.2.3 Tabu Search
179(3)
10.2.4 Variable Neighborhood Search
182(1)
10.3 Population-Based Algorithms
183(4)
10.3.1 Genetic Algorithm
184(2)
10.3.2 Offspring Selection Genetic Algorithm
186(1)
10.4 Hybrid Algorithms
187(1)
10.4.1 Memetic Algorithms
187(1)
10.5 Summary
188(1)
10.6 Conclusions
189(2)
References
190(1)
11 TV-Any time Cloud Computing Concept in Modern Digital Television
191(20)
Artur Bak
Marek Kulbacki
11.1 Introduction: Trends for TV-Anytime and TV-Any where
191(3)
11.2 Principles of TV-Anytime Standard
194(12)
11.2.1 Simple Broadcast Model
194(2)
11.2.2 Fully Interactive Model
196(1)
11.2.3 Content Referencing and Location Resolution
196(4)
11.2.4 Metadata
200(3)
11.2.5 Additional Features Supported by Metadata
203(1)
11.2.6 Template of TV-Any time Usage
204(2)
11.3 TV-Anytime Practical Example
206(3)
11.3.1 Publish
206(1)
11.3.2 Search
206(1)
11.3.3 Select
207(1)
11.3.4 Locate
207(1)
11.3.5 Acquire
208(1)
11.3.6 View
208(1)
11.3.7 Finish
209(1)
11.4 Summary
209(2)
References
210(1)
Subject Index 211