Описание: Introduction.- Part I: Edge computing and Internet of things in smart development.- Emerging trends of IoT and edge analytics.- Technology, protocols and use cases of IoT, Cloud and Big data analytics.- Data analytics and machine learning in decision making for smart development.- Part II: Wireless Communication protocols in sustainable development.- Health care solutions and data analytics in hospital environment.- Role of AI and bio inspired computing in decision making.- Deep learning concepts aiding smart city applications.- Energy harvesting methodologies and experimentation of sensors and actuators.- Reliability analysis and fault tolerant architecture for IoT and Edge Computing.- Buffer management in delay tolerant and delay in tolerant monitoring.- Handling network failure during critical duration.- Trust models and digital signature concepts for resource starving embedded systems.- Part III: Role of robotics in smart development.- Automation solution for smart development applications.- Solutions for challenges faced in smart development through low cost automation.- Conclusion.
Автор: He Yong, Nie Pengcheng, Zhang Qin Название: Agricultural Internet of Things: Technologies and Applications ISBN: 3030657019 ISBN-13(EAN): 9783030657017 Издательство: Springer Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Chapter
Title (Tentative)
Lead Author(s)
Institution/Email
Status
Forward
Qin Zhang
Washington State University qinzhang@wsu.edu
Accepted
Chapter 1
Agricultural Internet of Things: An Introduction
Yong He
Zhejiang University yhe@zju.edu.cn
Accepted
Part I: Agricultural Internet of Things Information Perception Technology
Chapter 2
Soil Information Perception Technology
1.Pengcheng Nie, 2.Yong He, 3.Qin Zhang
1.Zhejiang University pcn@zju.edu.cn, 2.Zhejiang University yhe@zju.edu.cn, 3.Washington State University qinzhang@wsu.edu
Accepted
Chapter 3
Crop Information Sensing Technology
1.Fei Liu, 2.Yong He, 3.Pengcheng Nie
1.Zhejiang University fliu@zju.edu.cn, 2.Zhejiang University yhe@zju.edu.cn, 3.Zhejiang University pcn@zju.edu.cn
Accepted
Chapter 4
Farmland Environment Information Perception Technology
1.Qin Zhang, 2.Hui Fang, 3.Yong He
1.Washington State University qinzhang@wsu.edu, 2.Zhejiang University hfang@zju.edu.cn, 3.Zhejiang University pcn@zju.edu.cn
Accepted
Chapter 5
Livestock Aquaculture Information Perception Technology
1.Fei Liu, 2.Yong He, 3.Pengcheng Nie
1.Zhejiang University fliu@zju.edu.cn, 2.Zhejiang University yhe@zju.edu.cn, 3.Zhejiang University pcn@zju.edu.cn
Accepted
Part II: Agricultural Internet of Things Information Transmission Technology
Chapter 6
Communication Technology
1.Pengcheng Nie, 2.Yong He
1.Zhejiang University pcn@zju.edu.cn, 2.Zhejiang University yhe@zju.edu.cn
Accepted
Chapter 7
Network Technology
1.Pengcheng Nie, 2.Yong He
1.Zhejiang University pcn@zju.edu.cn, 2.Zhejiang University yhe@zju.edu.cn
Accepted
Chapter8
Agricultural Information Processing Technology
1.Hui Fang, 2.Yong He, 3.Pengcheng Nie
1.Zhejiang University hfang@zju.edu.cn, 2.Zhejiang University yhe@zju.edu.cn, 3.Zhejiang University pcn@zju.edu.cn
Accepted
Chapter 9
Agricultural Information Decision and Processing
1.Fei Liu, 2.Yong He, 3.Pengcheng Nie
1.Zhejiang University fliu@zju.edu.cn, 2.Zhejiang University yhe@zju.edu.cn, 3.Zhejiang University pcn@zju.edu.cn
Accepted
Part III: Agricultural Internet of Things Applications
Chapter10
Agricultural Internet of Things Standardization and System Applications
1.Yong He, 2.Pengcheng Nie, 3.Qin Zhang
1.Zhejiang University yhe@zju.edu.cn, 2.Zhejiang University pcn@zju.edu.cn, 3.Washington State University qinzhang@wsu.edu
Accepted
Chapter 11
Field Crop and Orchard Internet of Things Management
1.Yong He, 2..Pengcheng Nie, 3.Qin Zhang
1.Zhejiang University yhe@zju.edu.cn, 2.Zhejiang University pcn@zju.edu.cn, 3.Washington State University qinzhang@wsu.edu
Introduction.- Section 1: Industrial Internet of things (IIoT).- Introduction to Industrial Internet of things (IIoT).- IIoT Architecture.- IIoT Key Technologies .- IIoT Use Cases.- Section 2: Smart Sensors for IIoT.- How Smart? - Role of Smart Sensors in IIoT.- Challenges to IIoT Smart Sensor Manufacturing and Deployment.- Section 3: IIoT Smart.- Sensors and Business Aspects.- Smart Sensor IIoT Businesses.- Predictive Analytics with Sensor Data.- Efficient Business Predictions .- Section 4: IIoT Smart Sensors Potential and Applications.- Potential and Importance of Smart Sensors for IIoT.- Real-World Applications of Smart Sensor IIoT.- Section 5: IIoT Smart Sensor Case Studies.- Connected Vehicles - Intelligent Transport Systems.- Internet of Drones.- Precision Farming/Agriculture.- Healthcare.- Conclusion.
Автор: Cagбňovб Dagmar, Horňбkovб Natбlia, Pusca Andy Название: Advances in Industrial Internet of Things, Engineering and Management ISBN: 3030697045 ISBN-13(EAN): 9783030697044 Издательство: Springer Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors look at how smart environments (smart city, smart university, smart regions, smart transportation, etc.) affect the way industrial management and industrial engineering are envisioned, planned, and applied and how engineers must incorporate new ideas and methods now and in the future.
1.Introduction to Industrial Analytics.- 2. Measuring Performance.- 3. Modelling and Simulating Systems.- 4. Optimising Systems.- 5. Production Control and Scheduling.- 6. Simulating Demand Forecasts.- 7. Investigating Time Series Data.- 8. Determining the Minimum Information for Effective Control.- 9. Constructing Machine Learning Models for Prediction.- 10. Exploring Model Accuracy.- 11. Building a Business Case for Sensing Technology Adoption.- 12. Improving Throughput by Utilising Sensor Data.- 13. Constructing a Digital Factory Model to Optimise Production.- 14. Examining a Digital Supply Chain.- 15. Probability Essentials.- 16. Building Simulations with Spreadsheets.- 17. Using Python to Construct Manufacturing Models.- 18. Predictive Analytics with KNIME.- 19. Using R to Evaluate Data.- 20. Example Case Study Data.
Описание: Chapter 1: Industrial Internet of Things FrameworkLayered View of IIoT systemsAnalytics Capabilities in IIoT Systems Can Increase Job Satisfaction Examples of IIoT Business Models Power Distribution Systems in the IIoTIIoT in Process Control Alarm Management Power Generation Turbines Anomaly Detection Increase Share of Wallet of Industrial Services and Products Power Transformers and Utility Equipment Analysis Demand Forecast of Products and Spare Parts ReferencesChapter 2: Industrial AnalyticsMachine Learning Supervised Machine Learning Decision Trees for Classification and RegressionRandom Forest Classification and Regression Neural Networks for Classification and Regression Sentiment Analysis and Machine Learning Support Vector Machines Unsupervised Machine Learning Association Rule MiningK-Means Clustering Anomaly Detection Machine LearningAnalytic Conduits References Chapter 3: Machine Learning to Predict Fault Events in Power Distribution Systems Problem Statement Background Data for Forecasting Fault Events in Power Distribution Grids Forecasting Fault Events Creation of Machine Learning Models Zone Prediction ModelsSubstation Prediction ModelsInfrastructure Prediction ModelsFeeder Prediction ModelsProactive Fault Analytics Helps Improving the Business Model and Employee SatisfactionReferencesChapter 4: Analyzing Events and Alarms in Control Systems Problem StatementBackgroundAnatomy of Alarms in IIoT Distributed Control SystemsAlarm Data Alarm Management Analytics Models Sequence Pattern Mining and Association Rule MiningAlarm Baskets Alarm De-chattering AnalysisAlarm Sequence AnalysisMeasures of Significance or Metrics for Sequence AnalysisEnhancing Expert Knowledge of Plant Operations Through Advanced Analytics Alarm ManagementReferencesChapter 5: Condition Monitoring of Rotating Machines in Power Generation Plants Problem Statement BackgroundTurbine Telemetry DataAnalytics for Anomaly Detection of Rotating MachinesStatistical Analysis of Turbine DataClustering Analysis of Turbine DataAnomaly Detection Using Connectivity-based Outlier FactorEnhancing Domain Knowledge of Power Engineers Through Anomaly Detection SystemReferencesChapter 6: Machine Learning Recommender for New Products and Services Problem StatementBackgroundHistorical DataProduct and Services Recommender AnalyticsCustomer Classification AnalyticsMarket Basket AnalysisSentiment Analysis Enhancing Domain Knowledge of Service Engineer Salespeople Through the Product and Services Recommender System ReferencesChapter 7: Managing Analytic Projects in the IIoT Enterprise Definition Phases of an Analytics Project in the IIoT Enterprise Delivery Framework for IIoT Advanced Analytics ProjectsSustaining Phase Requirements Engineering Project Management Process Data Preparation Phase Analytics and Implementation Phase Technical Solution Process Verification and Validation Processes Agile Kanban Development Lifecycle Barrie
Описание: Provides practical, comprehensive knowledge on how to use the advances in analytical measurements and basic and advanced control to improve batch profiles and endpoint consistency.
Автор: Viktor Hacker, Christof Sumereder Название: Electrical Engineering: Fundamentals ISBN: 3110521024 ISBN-13(EAN): 9783110521023 Издательство: Walter de Gruyter Цена: 7429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fundamentals of Electrical Engineering is an excellent introduction into the areas of electricity, electronic devices and electrochemistry. The book covers aspects of electrical science including Ohm and Kirkoff's laws, P-N junctions, semiconductors, circuit diagrams, magnetic fields, electrochemistry, and devices such as DC motors. This text is useful for students of electrical, chemical, materials, and mechanical engineering.
Автор: Pawan Negi, Mangey Ram, Om Prakash Yadav Название: Basics of CNC Programming ISBN: 8770220433 ISBN-13(EAN): 9788770220439 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Before the introduction of automatic machines and automation, industrial manufacturing of machines and their parts for the key industries were made though manually operated machines. Due to this, manufacturers could not make complex profiles or shapes with high accuracy. As a result, the production rate tended to be slow, production costs were very high, rejection rates were high and manufacturers often could not complete tasks on time. Industry was boosted by the introduction of the semi-automatic manufacturing machine, known as the NC machine, which was introduced in the 1950’s at the Massachusetts Institute of Technology in the USA. After these NC machine started to be used, typical profiles and complex shapes could get produced more readily, which in turn lead to an improved production rate with higher accuracy. Thereafter, in the 1970’s, an even larger revolutionary change was introduced to manufacturing, namely the use of the CNC machine (Computer Numerical Control). Since then, CNC has become the dominant production method in most manufacturing industries, including automotive, aviation, defence, oil and gas, medical, electronics industry, and the optical industry. Basics of CNC Programming describes how to design CNC programs, and what cutting parameters are required to make a good manufacturing program. The authors explain about cutting parameters in CNC machines, such as cutting feed, depth of cut, rpm, cutting speed etc., and they also explain the G codes and M codes which are common to CNC. The skill-set of CNC program writing is covered, as well as how to cut material during different operations like straight turning, step turning, taper turning, drilling, chamfering, radius profile, profile turning etc. In so doing, the authors cover the level of CNC programming from basic to industrial format. Drawings and CNC programs to practice on are also included for the reader.
Автор: Kanagachidambaresan G. R., Maheswar R., Manikandan V. Название: Internet of Things in Smart Technologies for Sustainable Urban Development ISBN: 3030343278 ISBN-13(EAN): 9783030343279 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Part I: Edge computing and Internet of things in smart development.- Emerging trends of IoT and edge analytics.- Technology, protocols and use cases of IoT, Cloud and Big data analytics.- Data analytics and machine learning in decision making for smart development.- Part II: Wireless Communication protocols in sustainable development.- Health care solutions and data analytics in hospital environment.- Role of AI and bio inspired computing in decision making.- Deep learning concepts aiding smart city applications.- Energy harvesting methodologies and experimentation of sensors and actuators.- Reliability analysis and fault tolerant architecture for IoT and Edge Computing.- Buffer management in delay tolerant and delay in tolerant monitoring.- Handling network failure during critical duration.- Trust models and digital signature concepts for resource starving embedded systems.- Part III: Role of robotics in smart development.- Automation solution for smart development applications.- Solutions for challenges faced in smart development through low cost automation.- Conclusion.
Автор: Jeschke Название: Industrial Internet of Things ISBN: 3319425587 ISBN-13(EAN): 9783319425580 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and education in IIoT/M-CPS and to translating applicable science and technology into engineering practice.Presenting the current state of IIoT and the concept of cybermanufacturing, this book is at the nexus of research advances from the engineering and computer and information science domains. Readers will acquire the core system science needed to transform to cybermanufacturing that spans the full spectrum from ideation to physical realization.
Introduction.- Section 1: Industrial Internet of things (IIoT).- Introduction to Industrial Internet of things (IIoT).- IIoT Architecture.- IIoT Key Technologies .- IIoT Use Cases.- Section 2: Smart Sensors for IIoT.- How Smart? - Role of Smart Sensors in IIoT.- Challenges to IIoT Smart Sensor Manufacturing and Deployment.- Section 3: IIoT Smart.- Sensors and Business Aspects.- Smart Sensor IIoT Businesses.- Predictive Analytics with Sensor Data.- Efficient Business Predictions .- Section 4: IIoT Smart Sensors Potential and Applications.- Potential and Importance of Smart Sensors for IIoT.- Real-World Applications of Smart Sensor IIoT.- Section 5: IIoT Smart Sensor Case Studies.- Connected Vehicles - Intelligent Transport Systems.- Internet of Drones.- Precision Farming/Agriculture.- Healthcare.- Conclusion.
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