Advanced Occupancy Measurement Using Sensor Fusion

[1]  Ευάγγελος Ζέρβας,et al.  Multisensor data fusion for fire detection , 2015 .

[2]  Niels H. Batjes,et al.  16 Measuring and Monitoring Soil Carbon , 2014 .

[3]  Jon P. Longtin,et al.  Determining appliance energy usage with a high-resolution metering system for residential natural gas meters , 2013 .

[4]  Garret E. O’Donnell,et al.  Industrial power and energy metering – a state-of-the-art review , 2013 .

[5]  Tuan Anh Nguyen,et al.  Energy intelligent buildings based on user activity: A survey , 2013 .

[6]  Lingfeng Wang,et al.  Development of multi-agent system for building energy and comfort management based on occupant behaviors , 2013 .

[7]  Elie Azar,et al.  A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings , 2012 .

[8]  Zheng Yang,et al.  A Non-Intrusive Occupancy Monitoring System for Demand Driven HVAC Operations , 2012 .

[9]  J. S. Park,et al.  A field study of occupant behavior and energy consumption in apartments with mechanical ventilation , 2012 .

[10]  Jacopo Torriti,et al.  Demand Side Management for the European Supergrid: Occupancy variances of European single-person households , 2012 .

[11]  Neil Brown,et al.  Practical application of a sensor overlay system for building monitoring and commissioning. , 2012 .

[12]  Yu-Cheng Lin,et al.  Laying out the occupant flows in public buildings for operating efficiency , 2012 .

[13]  Neil Brown,et al.  Novel instrumentation for monitoring after-hours electricity consumption of electrical equipment, and some potential savings from a switch-off campaign. , 2012 .

[14]  Milind Tambe,et al.  Coordinating occupant behavior for building energy and comfort management using multi-agent systems , 2012 .

[15]  Prabir Barooah,et al.  Agent-based and graphical modelling of building occupancy , 2012 .

[16]  Garret E. O’Donnell,et al.  Implementation of Energy Metering Systems in Complex Manufacturing Facilities–A Case Study in a Biomedical Facility , 2012 .

[17]  James E. Braun,et al.  A review of virtual sensing technology and application in building systems , 2011, HVAC&R Research.

[18]  Javier Silvestre-Blanes,et al.  Energy efficiency improvements through surveillance applications in industrial buildings , 2011 .

[19]  Oleg Okun.  Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations , 2011 .

[20]  Miguel Á. Carreira-Perpiñán,et al.  OBSERVE: Occupancy-based system for efficient reduction of HVAC energy , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[21]  Rhys Goldstein,et al.  Real-time occupancy detection using decision trees with multiple sensor types , 2011, SpringSim.

[22]  Dirk Saelens,et al.  Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices – a review-based integrated methodology , 2011 .

[23]  Bo Fan,et al.  Evaluation of four control strategies for building VAV air-conditioning systems , 2011 .

[24]  Shengwei Wang,et al.  In-situ implementation and validation of a CO2-based adaptive demand-controlled ventilation strategy in a multi-zone office building , 2011 .

[25]  Tina Yu,et al.  Modeling Occupancy Behavior for Energy Efficiency and Occupants Comfort Management in Intelligent Buildings , 2010, 2010 Ninth International Conference on Machine Learning and Applications.

[26]  Gregor P. Henze,et al.  Validating the application of occupancy sensor networks for lighting control , 2010 .

[27]  Khaled Nassar.  A model for assessing occupant flow in building spaces , 2010 .

[28]  Bo Fan,et al.  A hybrid FDD strategy for local system of AHU based on artificial neural network and wavelet analysis , 2010 .

[29]  Toke Rammer Nielsen,et al.  Energy efficient demand controlled ventilation in single family houses , 2010 .

[30]  Mark Gillott,et al.  Domestic energy and occupancy: a novel post-occupancy evaluation study , 2010 .

[31]  Shanben Chen,et al.  Multi‐sensor information fusion in pulsed GTAW based on fuzzy measure and fuzzy integral , 2010 .

[32]  N. Ramaraj,et al.  A novel hybrid feature selection via Symmetrical Uncertainty ranking based local memetic search algorithm , 2010, Knowl. Based Syst..

[33]  Rui Zhang,et al.  An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network , 2010 .

[34]  Bauke de Vries,et al.  Methods for the prediction of intermediate activities by office occupants , 2010 .

[35]  Andrew Kusiak,et al.  Virtual models of indoor-air-quality sensors , 2010 .

[36]  Mark Gillott,et al.  Low-carbon housing design informed by research , 2010 .

[37]  Bo Chen,et al.  Research on the Abrasive Water-Jet Cutting Machine Information Fusion Fault Diagnosis System Based on Fuzzy Neural Network , 2010, 2010 International Conference on Biomedical Engineering and Computer Science.

[38]  Shraddha Jadhav,et al.  Accounting for the energy consumption of personal computing including portable devices , 2010, e-Energy.

[39]  Lingfeng Wang,et al.  Multi-agent intelligent controller design for smart and sustainable buildings , 2010, 2010 IEEE International Systems Conference.

[40]  A. Wright,et al.  Longitudinal analysis of energy metering data from non-domestic buildings , 2010 .

[41]  Anastasios I. Dounis,et al.  Artificial intelligence for energy conservation in buildings , 2010 .

[42]  Neil Brown.  Image processing for overnight lighting quantification in buildings. , 2010 .

[43]  Huan Liu,et al.  Advancing Feature Selection Research − ASU Feature Selection Repository , 2010 .

[44]  Huai Li,et al.  Venetian Blind Control System Based on Fuzzy Neural Network for Indoor Daylighting , 2009, 2009 Second International Conference on Computer and Electrical Engineering.

[45]  Pramod K. Varshney,et al.  Accurate estimation of indoor occupancy using gas sensors , 2009, 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

[46]  Sean P. Meyn,et al.  A sensor-utility-network method for estimation of occupancy in buildings , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[47]  Sanjoy Paul,et al.  iSense: a wireless sensor network based conference room management system , 2009, BuildSys '09.

[48]  Alberto E. Cerpa,et al.  Energy efficient building environment control strategies using real-time occupancy measurements , 2009, BuildSys '09.

[49]  A. Gil-de-Castro,et al.  Power quality and energy efficiency in e-offices , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[50]  Mani B. Srivastava,et al.  ViridiScope: design and implementation of a fine grained power monitoring system for homes , 2009, UbiComp.

[51]  Peter A. Dinda,et al.  Sonar-based measurement of user presence and attention , 2009, UbiComp.

[52]  Anastasios I. Dounis,et al.  Advanced control systems engineering for energy and comfort management in a building environment--A review , 2009 .

[53]  Thompson Sarkodie-Gyan,et al.  An approach to sensor fusion in medical robots , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[54]  Chris D. Nugent,et al.  Evidential fusion of sensor data for activity recognition in smart homes , 2009, Pervasive Mob. Comput..

[55]  James E. Braun,et al.  Virtual Refrigerant Pressure Sensors for Use in Monitoring and Fault Diagnosis of Vapor-Compression Equipment , 2009 .

[56]  P Pieter-Jan Hoes,et al.  User behavior in whole building simulation , 2009 .

[57]  Rui Zhang,et al.  Information-theoretic environmental features selection for occupancy detection in open offices , 2009 .

[58]  Rui Zhang,et al.  Occupancy detection through an extensive environmental sensor network in an open-plan office building , 2009 .

[59]  Qing-Shan Jia,et al.  An Indoor Localization Algorithm for Lighting Control using RFID , 2008, 2008 IEEE Energy 2030 Conference.

[60]  Wusheng Wen,et al.  People tracking and counting for applications in video surveillance system , 2008, 2008 International Conference on Audio, Language and Image Processing.

[61]  Yiqing Lin,et al.  Video-based estimation of building occupancy during emergency egress , 2008, 2008 American Control Conference.

[62]  Hani Hagras,et al.  An intelligent agent based approach for energy management in commercial buildings , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[63]  N. Athi,et al.  Multisensor fusion for on line monitoring of the quality of spot welding in automotive industry , 2008 .

[64]  Da‐hong Wang,et al.  Symptom definitions for SBS (sick building syndrome) in residential dwellings. , 2008, International journal of hygiene and environmental health.

[65]  Lin Sheng-hua.  Automatic Meter Reading Module Based on GPRS Technology , 2008 .

[66]  Nabil Nassif,et al.  Self-Tuning Dynamic Models of HVAC System Components , 2008 .

[67]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[68]  Darren Robinson,et al.  A generalised stochastic model for the simulation of occupant presence , 2008 .

[69]  Andrew J. Wright,et al.  Non-Invasive and cost effective monitoring of energy consumption patterns for electrical equipment. , 2008 .

[70]  Zheng Liu,et al.  Survey: State of the Art in NDE Data Fusion Techniques , 2007, IEEE Transactions on Instrumentation and Measurement.

[71]  Y. Tachwali,et al.  Minimizing HVAC Energy Consumption Using a Wireless Sensor Network , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[72]  Gregory D. Abowd,et al.  At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award) , 2007, UbiComp.

[73]  W. J. Fisk,et al.  A PILOT STUDY OF THE ACCURACY OF CO2 SENSORS IN COMMERCIAL BUILDINGS , 2007 .

[74]  Alka R Kaushik,et al.  Characterization of PIR detector for monitoring occupancy patterns and functional health status of elderly people living alone at home. , 2007, Technology and health care : official journal of the European Society for Engineering and Medicine.

[75]  Nei Kato,et al.  Fault-resilient sensing in wireless sensor networks , 2007, Comput. Commun..

[76]  Peder Wolkoff,et al.  The dichotomy of relative humidity on indoor air quality. , 2007, Environment international.

[77]  James E. Braun,et al.  Decoupling features and virtual sensors for diagnosis of faults in vapor compression air conditioners , 2007 .

[78]  D. Kolokotsa,et al.  Artificial Intelligence in Buildings: A Review of the Application of Fuzzy Logic , 2007 .

[79]  Nusret Tan,et al.  Improved cascade control structure for enhanced performance , 2007 .

[80]  L. Lynnworth,et al.  Ultrasonic flowmeters: half-century progress report, 1955-2005. , 2006, Ultrasonics.

[81]  James Fogarty,et al.  Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition , 2006, UIST.

[82]  Gregor P. Henze,et al.  Building occupancy detection through sensor belief networks , 2006 .

[83]  Tsong-Yi Chen,et al.  An Intelligent People-Flow Counting Method for Passing Through a Gate , 2006, 2006 IEEE Conference on Robotics, Automation and Mechatronics.

[84]  D. Korn,et al.  Computer Power Management for Enterprises A Practical Guide for Saving up to $100 per Seat Annually in Electricity , 2006, Proceedings of the 2006 IEEE International Symposium on Electronics and the Environment, 2006..

[85]  Kiam Heong Ang,et al.  PID control system analysis and design , 2006, IEEE Control Systems.

[86]  Michael G. Apte,et al.  A Review of Demand Control Ventilation , 2006 .

[87]  W Wim Zeiler,et al.  Agent Technology to Improve Building Energy Efficiency and Occupant Comfort , 2006 .

[88]  Paola Verónica Britos,et al.  Providing Intelligent User-Adapted Control Strategies in Building Environments , 2006 .

[89]  Deng Cai,et al.  Laplacian Score for Feature Selection , 2005, NIPS.

[90]  Ciji Pearl Kurian,et al.  An adaptive neuro-fuzzy model for the prediction and control of light in integrated lighting schemes , 2005 .

[91]  Per Fahlén,et al.  Feed-forward in temperature control of buildings , 2005 .

[92]  T. L. Jong,et al.  Thermal comfort control on multi-room fan coil unit system using LEE-based fuzzy logic , 2005 .

[93]  Srinivas Katipamula,et al.  Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I , 2005 .

[94]  Christopher G. Atkeson,et al.  Simultaneous tracking & activity recognition (star) using many anonymous , 2005 .

[95]  Hani Hagras,et al.  An Intelligent Fuzzy Agent Approach for Realising Ambient Intelligence in Intelligent Inhabited Environments , 2005 .

[96]  Huan Liu,et al.  Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..

[97]  Minoru Mizuno,et al.  Energy saving potential of office equipment power management , 2004 .

[98]  Gian Carlo Cardinali,et al.  An electronic nose based on solid state sensor arrays for low-cost indoor air quality monitoring applications , 2004 .

[99]  Mark Rylatt,et al.  A simple model of domestic lighting demand , 2004 .

[100]  Gianfranco Rizzo,et al.  The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller , 2004 .

[101]  Shinichi Tanabe,et al.  Measurements of Chemical Emission Rates from Portable PC and Electronic Appliances , 2003 .

[102]  Chris H. Q. Ding,et al.  Minimum redundancy feature selection from microarray gene expression data , 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

[103]  Moncef Krarti,et al.  An Overview of Artificial Intelligence-Based Methods for Building Energy Systems , 2003 .

[104]  Ilkka Korhonen,et al.  Health monitoring in the home of the future. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[105]  Sungmee Park,et al.  Enhancing the quality of life through wearable technology , 2003, IEEE Engineering in Medicine and Biology Magazine.

[106]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[107]  Danny H.W. Li,et al.  Electricity consumption characteristics in shopping malls in subtropical climates , 2003 .

[108]  Danny H.W. Li,et al.  An investigation of daylighting performance and energy saving in a daylit corridor , 2003 .

[109]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[110]  H. P. Jorgl,et al.  An integrated control system for optimizing the energy consumption and user comfort in buildings , 2002, Proceedings. IEEE International Symposium on Computer Aided Control System Design.

[111]  Antoine Guillemin,et al.  An energy-efficient controller for shading devices self-adapting to the user wishes , 2002 .

[112]  Jonathan A. Wright,et al.  Optimization of building thermal design and control by multi-criterion genetic algorithm , 2002 .

[113]  M. L. Sanderson,et al.  Guidelines for the use of ultrasonic non-invasive metering techniques , 2002 .

[114]  Ioannis Pitas,et al.  Recent advances in biometric person authentication , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[115]  Emil Levi,et al.  Design of a PID-like compound fuzzy logic controller , 2001 .

[116]  Peder Wolkoff,et al.  Organic compounds in indoor air—their relevance for perceived indoor air quality? , 2001 .

[117]  S C Lee,et al.  Indoor air quality at nine shopping malls in Hong Kong. , 2001, The Science of the total environment.

[118]  R. Henkes,et al.  Effect of wall roughness changes on ultrasonic gas flowmeters , 2001 .

[119]  Antoine Guillemin,et al.  An innovative lighting controller integrated in a self-adaptive building control system , 2001 .

[120]  Arthur L. Dexter,et al.  Fault Diagnosis in Air-Conditioning Systems: A Multi-Step Fuzzy Model-Based Approach , 2001 .

[121]  T. Y. Chen,et al.  Real-time predictive supervisory operation of building thermal systems with thermal mass , 2001 .

[122]  Mike Schell,et al.  Demand Control Ventilation Using CO~2 , 2001 .

[123]  D. K. Roveti,et al.  Choosing a Humidity Sensor: A Review of Three Technologies This discussion of the operating principles of capacitive, resisitive, and thermal conductivity humidity sensors also addresses their advantages, disadvantages, and applications , 2001 .

[124]  Bratislav Gakovic,et al.  Areas and Types of Glazing and other Openings in the Nondomestic Building Stock , 2000 .

[125]  Vishal Garg,et al.  Smart occupancy sensors to reduce energy consumption , 2000 .

[126]  Huan Liu,et al.  Consistency Based Feature Selection , 2000, PAKDD.

[127]  Robert Frischholz,et al.  BioID: A Multimodal Biometric Identification System , 2000, Computer.

[128]  M. Zaheer-uddin,et al.  Optimal control of time-scheduled heating, ventilating and air conditioning processes in buildings , 2000 .

[129]  Geoff Levermore,et al.  Building Energy Management Systems; application to low-energy HVAC and natural ventilation control , 2000 .

[130]  P. Linden.  THE FLUID MECHANICS OF NATURAL VENTILATION , 1999 .

[131]  D. Ngo,et al.  A robust model-based approach to diagnosing faults in air-handling units , 1999 .

[132]  H. Asada,et al.  The ring sensor: a new ambulatory wearable sensor for twenty-four hour patient monitoring , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[133]  Hiroshi Motoda,et al.  Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.

[134]  Shengwei Wang,et al.  CO2-Based Occupancy Detection for On-Line Outdoor Air Flow Control , 1998, Indoor and Built Environment.

[135]  Steven J. Emmerich,et al.  Literature review on CO{sub 2}-based demand-controlled ventilation , 1997 .

[136]  Devender,et al.  A review of EMI shielding and suppression materials , 1997, Proceedings of the International Conference on Electromagnetic Interference and Compatibility '99 (IEEE Cat. No. 99TH 8487).

[137]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[138]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[139]  Anastasios I. Dounis,et al.  Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings , 1996 .

[140]  Anastasios I. Dounis,et al.  Comparison of Conventional and Fuzzy Control of Indoor Air Quality in Buildings , 1996, J. Intell. Fuzzy Syst..

[141]  Danny S. Parker,et al.  Energy Efficiency Technology Demonstration Project for Florida Educational Facilities: Occupancy Sensors. , 1995 .

[142]  Ron Kohavi,et al.  Irrelevant Features and the Subset Selection Problem , 1994, ICML.

[143]  Furio Cascetta,et al.  The future domestic gas meter: review of current developments , 1994 .

[144]  Evan Mills,et al.  Efficient lighting programs in Europe: Cost effectiveness, consumer response, and market dynamics , 1993 .

[145]  Larry A. Rendell,et al.  A Practical Approach to Feature Selection , 1992, ML.

[146]  Fred L. Collopy,et al.  Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons , 1992 .

[147]  L. C. Jain.  Thermistor-based linear temperature-to-voltage converter , 1989 .

[148]  J. Nocedal,et al.  A tool for the analysis of Quasi-Newton methods with application to unconstrained minimization , 1989 .

[149]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[150]  J. Nocedal,et al.  Global Convergence of a Class of Quasi-newton Methods on Convex Problems, Siam Some Global Convergence Properties of a Variable Metric Algorithm for Minimization without Exact Line Searches, Nonlinear Programming, Edited , 1996 .

[151]  J. Boyd,et al.  A Discourse on Winning and Losing , 1987 .

[152]  Fred Bauman,et al.  Impact of electric lighting efficiency on the energy saving potential of daylighting from roof monitors , 1984 .

[153]  F ROSENBLATT,et al.  The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.

[154]  L. Degelman.  A MODEL FOR SIMULATION OF DAYLIGHTING AND OCCUPANCY SENSORS AS AN ENERGY CONTROL STRATEGY FOR OFFICE BUILDINGS , .