Advances in Engineering Research. Volume 13 ( Advances in Engineering Research (NOT ON COVER) )

Publication series :Advances in Engineering Research (NOT ON COVER)

Author: Victoria M. Petrova  

Publisher: Nova Science Publishers, Inc.‎

Publication year: 2016

E-ISBN: 9781634854276

P-ISBN(Paperback): 9781634854160

Subject:

Keyword: 一般工业技术

Language: ENG

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Advances in Engineering Research. Volume 13

Chapter

6. POSITION AND TRACKING EXPERIMENTS

CONCLUSION

ACKNOWLEDGMENT

REFERENCES

Chapter 3: DEVELOPMENT OF A MECHATRONIC SYSTEM FOR BEDRIDDEN PEOPLE SUPPORT

ABSTRACT

1. INTRODUCTION

1.1. Context

1.2. Motivation

1.3. Aim

2. STATE OF ART

2.1. Target Population

2.2. Scenario of the Caregiver

2.3. Ambient Assisted Living (AAL)

2.4. Assistive Technology

2.5. Existing Equipment

2.5.1. Safety-Related Equipment

2.5.2. Comfort-Related Equipment

2.5.3. Mobility-Related Equipment

2.5.4. Hygiene-Related Equipment

2.5.5. Value Analysis of Existing Equipment

2.5.6. The Hold of the Analysis

3. METHODOLOGY OF PROJECT

4. FINAL REMARKS

REFERENCES

Chapter 4: COMBAT AUTONOMOUS ARTIFICIAL INTELLIGENCE AND THE FUTURE OF CIVILISATION

ABSTRACT

INTRODUCTION

THE ABILITY OF DEVELOPED COUNTRIES TO WITHSTAND EXTERNAL AGGRESSION IN THE 21ST CENTURY

THE CREATION OF FIGHTING ROBOT ARMIES - A NECESSARY CONDITION FOR THE SURVIVAL OF THE DEVELOPED COUNTRIES IN THE 21ST CENTURY

CONCLUSION

REFERENCES

Chapter 5: APPLYING PETRI NETS TO MODELING OF COMPLEX SYSTEMS DIAGNOSIS

ABSTRACT

INTRODUCTION

UTILIZATION OF MUTUAL TESTING IN COMPLEX SYSTEMS

APPROACHES TO MODELING OF MUTUAL TESTING

BASICS OF PETRI NETS

APPLYING PETRI NETS TO MODELING OF MUTUAL TESTING

SIMULATION RESULTS

CONCLUSION

REFERENCES

Chapter 6: SEMANTIC PROCESS MINING TOWARDS THE DISCOVERY AND ENHANCEMENT OF LEARNING MODELS ANALYSIS

ABSTRACT

1. INTRODUCTION

2. SYSTEM OVERVIEW

2.1. Learning Process Example

3. LEARNING PROCESS MINING IN ACTION

3.1. Learning Process Mapping

4. SEMANTIC LEARNING PROCESS MINING

4.1. Semantic Annotation of Learning Workflow Library

4.2. Semantic Modellig: Ontological Representation of Learning Workflow Sequence with BPMN and Learning Activity Concepts

4.3. Using Semantic Rules and Description Logic Queries to Discover and Enhance Patterns within the Learning Model

4.4. Querying of Learning Process Parameters/Real World Question Answering Using Description Logic (DL) Queries

5. SLPM - AUTOMATED LEARNING ALGORITHM

6. RELATED WORKS

CONCLUSION

REFERENCES

Chapter 7: TO EXPLORE WAYS TO MAKE TSHD MORE DREDGING EFFICIENCY

ABSTRACT

1. INTRODUCTION

2. BASIC CONCEPT AND CHARACTERISTICS OF COMBINED DREDGING SYSTEM

3. SHIP SIZE AND TECHNICAL FEATURES OF TWIN-HULL TSD

4. SELECTION OF BARGE

5. TECHNICAL RISKS OF COMBINED DREDGING SYSTEM AND SOLUTIONS

5.1. Special Twin-Hull Structure

5.2. Effective Connection of Twin-Hull TSD with Self-Propelled Barges

5.3. Improvement of System Arrangement

5.4. Coordinated Operations of TSD and Self-Propelled Barge

5.5. Combination of TSD and Self-Propelled Barge Will Be Platform for the Roro Deep Dredge System

6. ECONOMIC FEASIBILITY OF COMBINED DREDGING SYSTEM

6.1. Initial Investment Comparison

6.2. Production Comparison

6.3. Costs Comparison

CONCLUSION

REFERENCES

Chapter 8: PERSONALISED THERMAL COMFORT

ABSTRACT

PRODUCTIVITY AND THE SINGAPORE STORY

COMFORT FOR EVERYBODY?

PERSONALISATION FOR ENERGY EFFICIENCY

PERSONALISATON FOR ONE'S PERFECT TEMPERATURES

THE FUTURE OF PERSONAL THERMAL COMFORT

REFERENCES

BIOGRAPHICAL SKETCH

INDEX

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