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This volume contains revised and extended research articles written by prominent researchers participating in WNIS 2009 conference. Topics covered include Wireless Information Networks, Wireless Networking Technologies, Mobile Software and Services, intelligent computing, network management, power engineering, control engineering, Signal and Image Processing, Machine Learning, Control Systems and Applications, The book will offer the states of arts of tremendous advances in Wireless Networks and Information Systems and also serve as an excellent reference work for researchers and graduate students working on Wireless Networks and Information Systems.

Information resources management. --- System design. --- Wireless communication systems. --- Wireless communication systems --- Electrical & Computer Engineering --- Telecommunications --- Engineering & Applied Sciences --- Technological innovations. --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Microwaves. --- Telecommunication. --- Information systems. --- Microwaves, RF and Optical Engineering. --- Communications Engineering, Networks. --- Information Systems and Communication Service. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Hertzian waves --- Electric waves --- Electromagnetic waves --- Geomagnetic micropulsations --- Radio waves --- Shortwave radio --- Telecommunication systems --- Optical engineering. --- Electrical engineering. --- Computers. --- Mechanical engineering --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Electric engineering --- Engineering

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The 6th International Asia Conference on Industrial Engineering and Management Innovation is sponsored by the Chinese Industrial Engineering Institution and organized by Tianjin University. The conference aims to share and disseminate information on the most recent and relevant researches, theories and practices in industrial and system engineering to promote their development and application in university and enterprises.

Business. --- Management. --- Industrial management. --- Management information systems. --- Computer science. --- Control engineering. --- Industrial engineering. --- Production engineering. --- Business and Management. --- Innovation/Technology Management. --- Industrial and Production Engineering. --- Management of Computing and Information Systems. --- Control. --- Industrial engineering --- Engineering --- Management --- Information Systems. --- Control and Systems Theory. --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Administration --- Industrial relations --- Organization --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Manufacturing engineering --- Process engineering --- Mechanical engineering --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Business --- Industrial organization --- Communication systems

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This Brief presents a review of new eco-friendly processes, design and applications for novel cellulose-based materials, including regenerated materials, composites, nanocellulose and cellulose derivatives. Application of these materials in smart textiles, packaging, energy storage, sensors, gas separations, tissue engineering and drug release are highlighted. .

Cellulose --- Materials science. --- Renewable energy resources. --- Polymers. --- Renewable energy sources. --- Alternate energy sources. --- Green energy industries. --- Biomaterials. --- Materials Science. --- Ceramics, Glass, Composites, Natural Methods. --- Polymer Sciences. --- Renewable and Green Energy. --- Cellulose. --- Glucans --- Wood --- Chemistry --- Ceramics, Glass, Composites, Natural Materials. --- Biocompatible materials --- Biomaterials --- Medical materials --- Medicine --- Biomedical engineering --- Materials --- Biocompatibility --- Prosthesis --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Polymere --- Polymeride --- Polymers and polymerization --- Macromolecules --- Ceramics. --- Glass. --- Composites (Materials). --- Composite materials. --- Polymers  . --- Bioartificial materials --- Hemocompatible materials --- Composites (Materials) --- Multiphase materials --- Reinforced solids --- Solids, Reinforced --- Two phase materials --- Amorphous substances --- Ceramics --- Glazing --- Ceramic technology --- Industrial ceramics --- Keramics --- Building materials --- Chemistry, Technical --- Clay --- Biomaterials (Biomedical materials)

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This book aims to facilitate readers to understand the origin, growth pattern and relationship between tumor and adherent structure of craniopharyngioma, so as to improve the cure rate and safety of surgery. It’s contributed by Neurosurgery Department of Nanfang Hospital, Southern Medical University, China, which focuses on the management of craniopharyngioma. This book covers histoembryology of craniopharyngioma, together with anatomical morphology and abundant clinical data, systematically showing an innovative classification method, i.e. QST classification. This classification method can better reflect the different origin and growth pattern of craniopharyngioma，the relationship between tumors and surrounding structure of the tumor growth pattern, and clinical significance in surgery. The 70 clinical cases with different classification and treatment history are discussed as an important reference for surgical treatment of craniopharyngioma. The anatomy, morphology and pathology of sellar region also have great reference value for researchers in the field of neural science. The underlying intention of this book is to help bring a change in the concept that “craniopharyngioma is an incurable benign tumor only due to its anatomical location”.

Brain --- Tumors. --- Neurosurgery. --- Surgical oncology. --- Pathology. --- Surgical Oncology. --- Nerves --- Neurosurgery --- Disease (Pathology) --- Medical sciences --- Diseases --- Medicine --- Medicine, Preventive --- Cancer --- Oncologic surgery --- Oncological surgery --- Surgical oncology --- Surgery --- Excision --- Treatment --- Nervous system --- Surgery.

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With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

metadata --- image classification --- sensitivity analysis --- ROI detection --- residual learning --- image alignment --- adaptive convolutional kernels --- Hough transform --- class imbalance --- land surface temperature --- inundation mapping --- multiscale representation --- object-based --- convolutional neural networks --- scene classification --- morphological profiles --- hyperedge weight estimation --- hyperparameter sparse representation --- semantic segmentation --- vehicle classification --- flood --- Landsat imagery --- target detection --- multi-sensor --- building damage detection --- optimized kernel minimum noise fraction (OKMNF) --- sea-land segmentation --- nonlinear classification --- land use --- SAR imagery --- anti-noise transfer network --- sub-pixel change detection --- Radon transform --- segmentation --- remote sensing image retrieval --- TensorFlow --- convolutional neural network --- particle swarm optimization --- optical sensors --- machine learning --- mixed pixel --- optical remotely sensed images --- object-based image analysis --- very high resolution images --- single stream optimization --- ship detection --- ice concentration --- online learning --- manifold ranking --- dictionary learning --- urban surface water extraction --- saliency detection --- spatial attraction model (SAM) --- quality assessment --- Fuzzy-GA decision making system --- land cover change --- multi-view canonical correlation analysis ensemble --- land cover --- semantic labeling --- sparse representation --- dimensionality expansion --- speckle filters --- hyperspectral imagery --- fully convolutional network --- infrared image --- Siamese neural network --- Random Forests (RF) --- feature matching --- color matching --- geostationary satellite remote sensing image --- change feature analysis --- road detection --- deep learning --- aerial images --- image segmentation --- aerial image --- multi-sensor image matching --- HJ-1A/B CCD --- endmember extraction --- high resolution --- multi-scale clustering --- heterogeneous domain adaptation --- hard classification --- regional land cover --- hypergraph learning --- automatic cluster number determination --- dilated convolution --- MSER --- semi-supervised learning --- gate --- Synthetic Aperture Radar (SAR) --- downscaling --- conditional random fields --- urban heat island --- hyperspectral image --- remote sensing image correction --- skip connection --- ISPRS --- spatial distribution --- geo-referencing --- Support Vector Machine (SVM) --- very high resolution (VHR) satellite image --- classification --- ensemble learning --- synthetic aperture radar --- conservation --- convolutional neural network (CNN) --- THEOS --- visible light and infrared integrated camera --- vehicle localization --- structured sparsity --- texture analysis --- DSFATN --- CNN --- image registration --- UAV --- unsupervised classification --- SVMs --- SAR image --- fuzzy neural network --- dimensionality reduction --- GeoEye-1 --- feature extraction --- sub-pixel --- energy distribution optimizing --- saliency analysis --- deep convolutional neural networks --- sparse and low-rank graph --- hyperspectral remote sensing --- tensor low-rank approximation --- optimal transport --- SELF --- spatiotemporal context learning --- Modest AdaBoost --- topic modelling --- multi-seasonal --- Segment-Tree Filtering --- locality information --- GF-4 PMS --- image fusion --- wavelet transform --- hashing --- machine learning techniques --- satellite images --- climate change --- road segmentation --- remote sensing --- tensor sparse decomposition --- Convolutional Neural Network (CNN) --- multi-task learning --- deep salient feature --- speckle --- canonical correlation weighted voting --- fully convolutional network (FCN) --- despeckling --- multispectral imagery --- ratio images --- linear spectral unmixing --- hyperspectral image classification --- multispectral images --- high resolution image --- multi-objective --- convolution neural network --- transfer learning --- 1-dimensional (1-D) --- threshold stability --- Landsat --- kernel method --- phase congruency --- subpixel mapping (SPM) --- tensor --- MODIS --- GSHHG database --- compressive sensing