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Data-Driven Prediction for Industrial Processes and Their Applications / / by Jun Zhao, Wei Wang, Chunyang Sheng
| Data-Driven Prediction for Industrial Processes and Their Applications / / by Jun Zhao, Wei Wang, Chunyang Sheng |
| Autore | Zhao Jun |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 443 p. 167 illus., 128 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Information Fusion and Data Science |
| Soggetto topico |
Data mining
Manufactures Artificial intelligence Quality control Reliability Industrial safety Operations research Decision making Data Mining and Knowledge Discovery Manufacturing, Machines, Tools, Processes Artificial Intelligence Quality Control, Reliability, Safety and Risk Operations Research/Decision Theory |
| ISBN | 3-319-94051-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Why the prediction is required for industrial process -- Introduction to industrial process prediction -- Category of industrial process prediction -- Common-used techniques for industrial process prediction -- Brief summary -- Data preprocessing techniques -- Anomaly detection of data -- Correction of abnormal data -- Methods of packing missing data -- Data de-noising techniques -- Data fusion methods -- Discussion -- Industrial time series prediction -- Introduction -- Methods of phase space reconstruction -- Prediction modeling -- Benchmark prediction problems -- Cases of industrial applications -- Discussion -- Factor-based industrial process prediction -- Introduction -- Methods of determining factors -- Factor-based single-output model -- Factor-based multi-output model -- Cases of industrial applications -- Discussion -- Industrial Prediction intervals with data uncertainty -- Introduction -- Common-used techniques for prediction intervals -- Prediction intervals with noisy outputs -- Prediction intervals with noisy inputs and outputs -- Time series prediction intervals with missing input -- Industrial cases of prediction intervals -- Discussion -- Granular computing-based long term prediction intervals -- Introduction -- Basic theory of granular computing -- Techniques of granularity partition -- Long-term prediction model -- Granular-based prediction intervals -- Multi-dimension granular-based long term prediction intervals -- Discussion -- Parameters estimation and optimization -- Introduction -- Gradient-based methods -- Evolutionary algorithms -- Nonlinear Kalman-filter estimation -- Probabilistic methods -- Gamma-test based noise estimation -- Industrial applications -- Discussion -- Parallel computing considerations -- Introduction -- CUDA-based parallel acceleration -- Hadoop-based distributed computation -- Other techniques -- Industrial applications to parallel computing -- Discussion -- Prediction-based scheduling of industrial system -- Introduction -- Scheduling of blast furnace gas system -- Scheduling of coke oven gas system -- Scheduling of converter gas system -- Scheduling of oxygen system -- Predictive scheduling for plant-wide energy system -- Discussion. |
| Record Nr. | UNINA-9910741150903321 |
Zhao Jun
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wireless and Satellite Systems [[electronic resource] ] : 13th EAI International Conference, WiSATS 2022, Virtual Event, Singapore, March 12-13, 2023, Proceedings / / edited by Jun Zhao
| Wireless and Satellite Systems [[electronic resource] ] : 13th EAI International Conference, WiSATS 2022, Virtual Event, Singapore, March 12-13, 2023, Proceedings / / edited by Jun Zhao |
| Autore | Zhao Jun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (135 pages) |
| Disciplina | 621.384 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Application software Artificial intelligence Computer networks—Security measures Computer Communication Networks Computer and Information Systems Applications Artificial Intelligence Mobile and Network Security |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 3-031-34851-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Security and Privacy in Healthcare, Transportation, and Satellite Networks -- TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection -- Study on detection of vascular inner wall with IVUS image -- Anomaly Detection for Connected Autonomous Vehicles using LSTM and Gaussian Naïve Bayes -- Detection Algorithms based on eigenvalues of sampling Covariance Matrix for Satellite Cognitive Network -- Advanced Technologies in Wireless Communication Systems -- Hybrid Beamforming Design for Multi-User Multi-Stream Communications with Terahertz Massive MIMO -- Photovoltaic Devices Design Based on Simultaneous Visible-light Information and Power Transfer Circuits -- Marketing in Wireless Communication: A Systematic Review -- A robust beamforming algorithm for satellite communication -- Network Efficiency and Reliability -- Average Age of Incorrect Information in Random Access Channels for IoT Systems. |
| Record Nr. | UNISA-996546842903316 |
|
Zhao Jun
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Wireless and Satellite Systems : 13th EAI International Conference, WiSATS 2022, Virtual Event, Singapore, March 12-13, 2023, Proceedings / / edited by Jun Zhao
| Wireless and Satellite Systems : 13th EAI International Conference, WiSATS 2022, Virtual Event, Singapore, March 12-13, 2023, Proceedings / / edited by Jun Zhao |
| Autore | Zhao Jun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (135 pages) |
| Disciplina | 621.384 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Application software Artificial intelligence Computer networks—Security measures Computer Communication Networks Computer and Information Systems Applications Artificial Intelligence Mobile and Network Security |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 3-031-34851-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Security and Privacy in Healthcare, Transportation, and Satellite Networks -- TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection -- Study on detection of vascular inner wall with IVUS image -- Anomaly Detection for Connected Autonomous Vehicles using LSTM and Gaussian Naïve Bayes -- Detection Algorithms based on eigenvalues of sampling Covariance Matrix for Satellite Cognitive Network -- Advanced Technologies in Wireless Communication Systems -- Hybrid Beamforming Design for Multi-User Multi-Stream Communications with Terahertz Massive MIMO -- Photovoltaic Devices Design Based on Simultaneous Visible-light Information and Power Transfer Circuits -- Marketing in Wireless Communication: A Systematic Review -- A robust beamforming algorithm for satellite communication -- Network Efficiency and Reliability -- Average Age of Incorrect Information in Random Access Channels for IoT Systems. |
| Record Nr. | UNINA-9910728952103321 |
|
Zhao Jun
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||