Advancements in smart city and intelligent building : proceedings of the International Conference on Smart City and Intelligent Building (ICSCIB 2018) /: proceedings of the International Conference on Smart City and Intelligent Building (ICSCIB 2018). (2019)

• Record Type: Book
• Other Titles: ICSCIB 2018
• Further Information: Note: Qiansheng Fang, Quanmin Zhu, Feng Qiao, editors.
• Editors: Fang, Qiansheng; Zhu, Quanmin; Qiao, Feng
• Other Names: International Conference on Smart City and Intelligent Building
• Contents: Intro; The 2018 International Conference On Smart City and Intelligent Building ICSCIB 2018; Organized by; Sponsored by; Organizer, Sponsors and Supporters; Organizer; Sponsors; Supporters; Conference Organizing Committee; General Chairs; Program Chairs; International Program Committee; Chairs of IPC; Members of IPC; Invited Speakers; Preface; Acknowledgements; About This Book; Contents; Building Energy Efficiency; Study on the Control Method of Temperature and Humidity Environment in Building Intelligent System; 1 Introduction 2 Radial Basis Function (RBF) Neural Network and Orthogonal Least Squares Algorithm (OLS)3 Weed Optimization Algorithm Based on RBF Neural Network Node Centers; 4 Simulation and Analysis; 4.1 Data Acquisition; 4.2 Simulation Results; 5 Conclusions; References; Research on Human Thermal Comfort Model Based on Multiple Physiological Parameters; 1 Introduction; 2 Methods; 3 Experiments of Human Thermal Comfort; 3.1 Experimental Environment; 3.2 Design of Questionnaires; 3.3 Test Conditions and Procedures; 4 Establishment and Evaluation of the Human Thermal Comfort Model; 4.1 Experimental Data 4.2 Establishment of the Human Thermal Comfort Model4.3 Evaluation of the Human Thermal Comfort Model; 5 Results and Discussion; 6 Conclusions; References; Study on Thermal Comfort Model Based on Genetic Algorithm with Backpropagation Neural Network; 1 Introduction; 2 Establishment of Thermal Comfort Model; 2.1 Physiological Signal Extraction; 2.2 Feature Fusion of Physiological Signals; 2.3 The Feature Optimization Based on Genetic Algorithm; 2.4 The Principles and Construction of BP Neural Network; 2.5 Identification of the Numbers of Neurons in Hidden Layers; 3 Experiment and Results 3.1 Subjects and Facilities3.2 Data Preprocessing; 3.3 Establishment of BP Neural Network Model; 3.4 Verification of Experimental Results; 4 Conclusions and Discussion; References; An Optimization Model for PV and CCHP-Supplied Power System in Buildings; 1 Introduction; 2 Models of Individual Unit; 2.1 Model of PV Unit; 2.2 Model of ICE; 2.3 Model of GF; 2.4 Model of LiBr AC; 3 Optimization Algorithm for System Dispatch; 3.1 Optimizing Dispatch Modeling; 3.2 Algorithm of Optimizing Dispatch; 4 Algorithm Implementation and Results of the Case Study; 4.1 Algorithm Implementation; 4.2 Case Study 5 ConclusionsReferences; Control and Optimization of Indoor Environmental Quality Based on Model Prediction in Building; 1 Introduction; 2 The Model of Control System; 2.1 Notations; 2.2 The Indoor Environment Quality Control Mathematical Model; 3 Analysis and Validation of Model; 4 Model Predictive Control and Optimization; 5 Analysis of Experiment and Result; 6 Conclusions; References; Identifying Abnormal Energy Consumption Data of Lighting and Socket Based on Energy Consumption Characteristics; 1 Introduction; 2 The Classification of Data
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource (xxiv, 633 pages), illustrations (some color)
• Subjects: 307.1/216; Smart cities -- Congresses; Sustainable buildings -- Design and construction -- Congresses; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811367335; 9811367337
• Related ISBNs: 9789811367328
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed April 10, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.