Yong Liu – författare

Melt Electrospinning: A Green Method to Produce Superfine Fibers introduces the latest results from a leading research group in this area, exploring the structure, equipment polymer properties and spinning conditions of melt electrospinning. Sections introduce the invention of melt electrospinning, including the independent development of centrifugal melt electrospinning and upward melt electrospinning, discuss electro magnetization of melt and the testing method of fiber performance by means of different polymers and self-designed devices, cover simulation, and introduce principle methods and improvement measures of centrifugal melt electrospinning.

Presents melt electrospinning, a green nanofiber fabrication technology Introduces the invention of melt electrospinning, including centrifugal melt electrospinning and upward melt electrospinning Describes optimization techniques, electro magnetization of melt, testing methods, DPD simulation and improvement methods Provides a useful introduction to contemporary electrospinning research with a view to its many potential applications

Quality of Service in Optical Burst Switched Networks is a broad review and reference for researchers and professionals of Quality of Service (QoS) support in Optical Burst Switching (OBS) networks. The authors start with an overview of OBS architecture, then categorize and discuss existing QoS support in OBS including relative and absolute models, mechanisms for supporting multiple traffic classes, edge-to-edge provisioning, and other non-mainstream mechanisms.Optical networking professionals will find the literature review as an up-to-date coverage of topics which is both timely and helpful.

New Polymeric Products: Fundamentals, Forming Methods and Applications introduces applications of polymer materials in different fields, including new products and processing methods. This book is rich in content and creativity and introduces the development, history, characteristics and existing processing methods of polymer materials in a comprehensive and systematic manner. Sections include the latest achievements from future travel, energy problems, special environment, lens materials and biomedicine, which are the most concerning areas of human society today. The book also introduces forming principles, methods, achievements and development prospects from shallow to profound. It will benefit researchers and new academic participants and broaden their vision.

Sections cover the development history and prospect of polymer materials, introduce polymer materials, including new materials, characteristics, synthesis, naming and functionality, and delve into new processing and forming methods which are introduced in three parts: plastic, rubber and fiber according to different product types.

Composed of relevant research results from the author's team, including general basic knowledge and the latest research in relevant fieldsIntroduces basic knowledge such as polymer development history, material characteristics and forming principlesArranges trivial contents such as polymer development history in tables to make it clearer and easier to understandGives readers a clearer understanding of products, processing equipment and processes

Although there is increasing need for modeling and simulation in the IC package design phase, most assembly processes and various reliability tests are still based on the time consuming "test and try out" method to obtain the best solution. Modeling and simulation can easily ensure virtual Design of Experiments (DoE) to achieve the optimal solution. This has greatly reduced the cost and production time, especially for new product development. Using modeling and simulation will become increasingly necessary for future advances in 3D package development.  In this book, Liu and Liu allow people in the area to learn the basic and advanced modeling and simulation skills to help solve problems they encounter.   Models and simulates numerous processes in manufacturing, reliability and testing for the first timeProvides the skills necessary for virtual prototyping and virtual reliability qualification and testingDemonstrates concurrent engineering and co-design approaches for advanced engineering design of microelectronic productsCovers packaging and assembly for typical ICs, optoelectronics, MEMS, 2D/3D SiP, and nano interconnectsAppendix and color images available for download from the book's companion websiteLiu and Liu have optimized the book for practicing engineers, researchers, and post-graduates in microelectronic packaging and interconnection design, assembly manufacturing, electronic reliability/quality, and semiconductor materials. Product managers, application engineers, sales and marketing staff, who need to explain to customers how the assembly manufacturing, reliability and testing will impact their products, will also find this book a critical resource.Appendix and color version of selected figures can be found at www.wiley.com/go/liu/packaging

Quality of Service in Optical Burst Switched Networks is a broad review and reference for researchers and professionals of Quality of Service (QoS) support in Optical Burst Switching (OBS) networks. The authors start with an overview of OBS architecture, then categorize and discuss existing QoS support in OBS including relative and absolute models, mechanisms for supporting multiple traffic classes, edge-to-edge provisioning, and other non-mainstream mechanisms.Optical networking professionals will find the literature review as an up-to-date coverage of topics which is both timely and helpful.

Power Electronic Packaging presents an in-depth overview of power electronic packaging design, assembly,reliability and modeling.

Power Electronic Packaging presents an in-depth overview of power electronic packaging design, assembly,reliability and modeling.

Analog and Power Wafer Level Chip Scale Packaging presents a state-of-art and in-depth overview in analog and power WLCSP design, material characterization, reliability and modeling.

Analog and Power Wafer Level Chip Scale Packaging presents a state-of-art and in-depth overview in analog and power WLCSP design, material characterization, reliability and modeling.

Train, test, run, track, store, tune, deploy, and explain provenance-aware deep learning models and pipelines at scale with reproducibility using MLflowKey FeaturesFocus on deep learning models and MLflow to develop practical business AI solutions at scaleShip deep learning pipelines from experimentation to production with provenance trackingLearn to train, run, tune and deploy deep learning pipelines with explainability and reproducibilityBook DescriptionThe book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas.From there onward, it guides you step by step in understanding the concept of MLflow experiments and usage patterns, using MLflow as a unified framework to track DL data, code and pipelines, models, parameters, and metrics at scale. You’ll also tackle running DL pipelines in a distributed execution environment with reproducibility and provenance tracking, and tuning DL models through hyperparameter optimization (HPO) with Ray Tune, Optuna, and HyperBand. As you progress, you’ll learn how to build a multi-step DL inference pipeline with preprocessing and postprocessing steps, deploy a DL inference pipeline for production using Ray Serve and AWS SageMaker, and finally create a DL explanation as a service (EaaS) using the popular Shapley Additive Explanations (SHAP) toolbox.By the end of this book, you’ll have built the foundation and gained the hands-on experience you need to develop a DL pipeline solution from initial offline experimentation to final deployment and production, all within a reproducible and open source framework.What you will learnUnderstand MLOps and deep learning life cycle developmentTrack deep learning models, code, data, parameters, and metricsBuild, deploy, and run deep learning model pipelines anywhereRun hyperparameter optimization at scale to tune deep learning modelsBuild production-grade multi-step deep learning inference pipelinesImplement scalable deep learning explainability as a serviceDeploy deep learning batch and streaming inference servicesShip practical NLP solutions from experimentation to productionWho this book is forThis book is for machine learning practitioners including data scientists, data engineers, ML engineers, and scientists who want to build scalable full life cycle deep learning pipelines with reproducibility and provenance tracking using MLflow. A basic understanding of data science and machine learning is necessary to grasp the concepts presented in this book.

Network calculus is a theory dealing with queuing systems found in computer networks. Its focus is on performance guarantees. Central to the theory is the use of alternate algebras such as the min-plus algebra to transform complex network systems into analytically tractable systems. To simplify the ana- sis, another idea is to characterize tra?c and service processes using various bounds. Since its introduction in the early 1990s, network calculus has dev- oped along two tracks—deterministic and stochastic. This book is devoted to summarizing results for stochastic network calculus that can be employed in the design of computer networks to provide stochastic service guarantees. Overview and Goal Like conventional queuing theory, stochastic network calculus is based on properly de?ned tra?c models and service models. However, while in c- ventional queuing theory an arrival process is typically characterized by the inter-arrival times of customers and a service process by the service times of customers, the arrival process and the service process are modeled in n- work calculus respectively by some arrival curve that (maybe probabilis- cally) upper-bounds the cumulative arrival and by some service curve that (maybe probabilistically) lower-bounds the cumulative service. The idea of usingboundstocharacterizetra?candservicewasinitiallyintroducedfor- terministic network calculus. It has also been extended to stochastic network calculus by exploiting the stochastic nature of arrival and service processes.

Network calculus is a theory dealing with queuing systems found in computer networks. Its focus is on performance guarantees. Central to the theory is the use of alternate algebras such as the min-plus algebra to transform complex network systems into analytically tractable systems. To simplify the ana- sis, another idea is to characterize tra?c and service processes using various bounds. Since its introduction in the early 1990s, network calculus has dev- oped along two tracks—deterministic and stochastic. This book is devoted to summarizing results for stochastic network calculus that can be employed in the design of computer networks to provide stochastic service guarantees. Overview and Goal Like conventional queuing theory, stochastic network calculus is based on properly de?ned tra?c models and service models. However, while in c- ventional queuing theory an arrival process is typically characterized by the inter-arrival times of customers and a service process by the service times of customers, the arrival process and the service process are modeled in n- work calculus respectively by some arrival curve that (maybe probabilis- cally) upper-bounds the cumulative arrival and by some service curve that (maybe probabilistically) lower-bounds the cumulative service. The idea of usingboundstocharacterizetra?candservicewasinitiallyintroducedfor- terministic network calculus. It has also been extended to stochastic network calculus by exploiting the stochastic nature of arrival and service processes.

This book argues that 3D films are becoming more sophisticated in utilising stereoscopic effects for storytelling purposes.

This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

With the development of social and science, new requirements are put forward for geotechnical engineering.

This book uses a system-based approach to decipher and organize the concepts and conclusions relevant for creating and capturing value in business. It develops a scientific theory based on systems science and logical reasoning that is commonly employed in mathematics and natural science.

This book uses a system-based approach to decipher and organize the concepts and conclusions relevant for creating and capturing value in business. It develops a scientific theory based on systems science and logical reasoning that is commonly employed in mathematics and natural science.

This book constitutes the refereed proceedings of the 16th International Conference on Passive and Active Measurement, PAM 2015, held in New York, NY, USA, in March 2015.

This book argues that 3D films are becoming more sophisticated in utilising stereoscopic effects for storytelling purposes.

This book deals with the attempts made by the scholars and engineers to address contemporary issues in geotechnical engineering such as characterization of geomaterials, slope stability and tunneling, sustainability in geohazards and some other geotechnical issues that are becoming quite relevant in today's world. With increasing urbanization rates and development of society, advancement in geotechnical technologies is essential to the construction of infrastructures. Geotechnical Investigation is the first step of applying scientific methods and engineering principles to obtain solutions of civil engineering problems. Papers were selected from the 5th GeoChina International Conference on Civil Infrastructures Confronting Severe Weathers and Climate Changes: From Failure to Sustainability, held on July 23-25, 2018 in HangZhou, China.

Comprehensive reference on the design, characteristics, performance, and development potential of key components of PEMFC through electrospinning technologies Electrospinning for Proton Exchange Membrane Fuel Cells discusses the use of electrospun materials in preparing next-generation fuel cell proton-conducting membranes, comprehensively reviewing the essential parts of proton exchange membrane fuel cell (PEMFC) components including the catalyst layer, gas diffusion layer, and proton exchange membrane. The book covers both electrochemical methods and hands-on experimental processes and provides a perspective of hydrogen fuel and PEMFC vehicles in the transformation of low-carbon energy. Electrospinning for Proton Exchange Membrane Fuel Cells includes information on: Working principles, current state of research, and existing obstacles of PEMFC components, as well as the role of electrospinning and nanofibers in PEMFCPhysical properties and electrochemical polarization of the nanofiber catalyst layer prepared by electrospinningWater management ability of fuel cells under high inlet humidityCold starting ability and performance aging of PEMFC through the electrospun microporous layer under high current densityExperimental devices for the study of the electrospun proton exchange membrane and composite proton exchange membraneElectrospinning for Proton Exchange Membrane Fuel Cells is an excellent reference on the subject for materials scientists, catalytic chemists, polymer chemists, electrochemists, and electronics engineers.

LNCS 6382 is the ?rst volume of the proceedings of the Fifth International Symposium on Intelligence Computation and Applications (ISICA 2010)held in Wuhan, China, October 22-24, 2010. Fifty-three papers among 267 submissions were selected and included in LNCS 6382. The symposium featured the most up-to-date research in ant colony and particle swarm optimization, di?erential evolution, distributed computing, - netic algorithms, multi-agent systems, multi-objective and dynamic optimi- tion, robot intelligence, statistical learning, and system design. LNCS 6382 is dedicated to the memory of Lishan Kang. ISICA conferences were one of the ?rst series of international conferences on computational intel- gence that combine elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to arti?cial intelligence. The idea for ISICA came about after Lishan Kang organized on international symposium on evolutionary computation at Wuhan University in 2000.After he was - vited to be the Director of the School of Computer Science, China University of Geosciences, he wondered whether he could establish such discussion forums on computational intelligence at China University of Geosciences. With support from his university, the School of Computer Science organizedthe ?rst ISICA in 2005, in which some of the leading ?gures from the scienti?c computing world were invited, including H. -P. Schwefel, Germany, M. Schoenauer, France, D. J. Evans, UK, T. Higuchi, Japan, Z. Michalewicz, Australia, and X. Yao, UK.

This book constitutes the refereed proceedings of the 6th International Symposium on Intelligence Computation and Applications, ISICA 2012, held in Wuhan, China, in October 2012. The 72 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; combinatorial and numerical optimization; communications and computer networks; data mining; evolutionary multi-objective and dynamic optimization; intelligent computation, intelligent learning systems; neural networks; real-world applications.

This bookconstitutes the refereed proceedings of the 7th International Symposium onIntelligence Computation and Applications, ISICA 2015, held in Guangzhou,China, in November 2015.The 77revised full papers presented were carefully reviewed and selected from 189submissions. The papers feature the most up-to-date research in analysis andtheory of evolutionary computation, neural network architectures and learning;neuro-dynamics and neuro-engineering; fuzzy logic and control; collectiveintelligence and hybrid systems; deep learning; knowledge discovery; learningand reasoning.

This two-volume set (CCIS 873 and CCIS 874) constitutes the thoroughly refereed proceedings of the 9th International Symposium, ISICA 2017, held in Guangzhou, China, in November 2017.The 101 full papers presented in both volumes were carefully reviewed and selected from 181 submissions. This first volume is organized in topical sections on neural networks and statistical learning: neural architecture search, transfer of knowledge; evolutionary multi-objective and dynamic optimization: optimal control and design, hybrid methods; data mining: association rule learning, data management platforms; Cloud computing and multiagent systems: service models, Cloud engineering; everywhere connectivity: IoT solutions, wireless sensor networks.