IEEE Organizations related to Escalators

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Conferences related to Escalators

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2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Recent efforts in computer vision have demonstrated impressive successes on a variety of real-world challenges. WACV conferences provide a forum for computer vision researchers working on practical applications to share their latest developments. WACV 2020 solicits high-quality, original submissions describing research on computer vision applications. Unlike other vision conferences, WACV emphasizes papers on systems and applications with significant, interesting vision components. Authors are encouraged to submit applications papers, as well as more traditional algorithms papers.

  • 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

    WACV conferences provide a forum for computer vision researchers working on practical applications to share their latest developments. WACV 2017 solicits high-quality, original submissions describing research on computer vision applications. Unlike other vision conferences, WACV emphasizes papers on systems and applications with significant, interesting vision components.

  • 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

    WACV brings together algorithm developers, software engineers, program managers and othersinterested in applied computer vision.

  • 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)

    WACV brings together algorithm developers, software engineers, program managers and others interested in applied computer vision.

  • 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)

    WACV brings together algorithm developers, software engineers, program managers and others interested in applied computer vision.

  • 2015 IEEE Winter Conference on Applications of Computer Vision (WACV)

    Conference Scope: Computer Vision has become increasingly important in real world systems for commercial, industrial and military applications. Computer Vision related technologies have migrated from academic institutions to industrial laboratories, and onward into deployable systems. The goal ofthis workshop is to bring together an international cadre of academic, industrial, and government researchers, along with companies applying vision techniques.

  • 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)

    Conference Scope: Computer Vision has become increasingly important in real world systems forcommercial, industrial and military applications. Computer Vision related technologies have migrated fromacademic institutions to industrial laboratories, and onward into deployable systems. The goal of thisworkshop is to bring together an international cadre of academic, industrial, and government researchers,along with companies applying vision techniques.

  • 2013 IEEE Workshop on Applications of Computer Vision (WACV)

    Computer Vision has become increasingly important in real world systems for commercial, industrial and military applications. Computer Vision related technologies have migrated from academic institutions to industrial laboratories, and onward into deployable systems. The goal of this workshop is to bring together an international cadre of academic, industrial, and government researchers, along with companies applying vision techniques.

  • 2012 IEEE Workshop on Applications of Computer Vision (WACV)

    Computer Vision has become increasingly important in real world systems for commercial, industrial and military applications. Computer Vision related technologies have migrated from academic institutions to industrial laboratories, and onward into deployable systems. The goal of this workshop is to bring together an international cadre of academic, industrial, and government researchers, along with companies applying vision techniques.

  • 2011 IEEE Workshop on Applications of Computer Vision (WACV)

    Computer Vision has become increasingly important in real world systems for commercial, industrial and military applications. Computer Vision related technologies have started migrating from academic institutions to industrial laboratories, and onward into deployable systems. The goal of this workshop is to bring together an international cadre of academic, industrial, and government researchers, and companies applying vision techniques


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Periodicals related to Escalators

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Most published Xplore authors for Escalators

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Xplore Articles related to Escalators

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Voltage Dip Immunity Field Test and Measurement and Voltage Tolerance Curves of the Escalator

2018 International Conference on Power System Technology (POWERCON), 2018

Voltage dips may shut down the escalators because of the protection setting, which may cause personal hurt or death for the passengers on the stairs. Understanding the voltage dip immunity of escalator is the base of improving the ability against the voltage dips. This paper established an experimental testing platform and implemented a field test and measurement for the voltage ...


Indoor Positioning in Large Shopping Mall with Context based Map Matching

2019 IEEE International Conference on Consumer Electronics (ICCE), 2019

This paper focus on large indoor environment and proposes an accurate indoor positioning system with context based map matching. The proposed system adopts the widely used smartphone as the positioning platform of the customer, and mainly depends on the motion sensors in a smartphone. The proposed system firstly provides the initial trajectory of the customer with Pedestrian Dead Reckoning (PDR) ...


A Data-Driven-Based Wavelet Support Vector Approach for Passenger Flow Forecasting of the Metropolitan Hub

IEEE Access, 2019

With the rapid development of the construction and operation of mass transit hubs, passenger data collection, modeling, and prediction for optimal control have become very important. In this paper, pedestrian facilities are abstracted into connected nodes, and the passenger flow network is formed according to the facility connection relationship determined by the traffic organization; therefore, the state variables of the ...


Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign

IEEE Access, 2019

A pedestrian choice model of vertical walking facilities based on random forest is established in rail transit station considering four key influence factors: interlayer height, luggage, the difference in the number of pedestrians in front of elevator and stairway, and walking speed. This model is verified with the collected data of Changchun light-rail transfer station and Beijing Xi-zhi-men railway transfer ...


Simulation Analysis of Social Norm Formation in Escalator Uses

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018

Currently observed escalator usage in Japan is to stand on one side, which is considered as a social norm. Originally, escalator usage in Japan took the form of "standing on both sides." Hence escalator usage norms have changed over time. For mainly safety reasons, efforts have been made to establish "standing on both sides" as the social norm for escalator ...


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Educational Resources on Escalators

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Escalators"

IEEE-USA E-Books

  • Voltage Dip Immunity Field Test and Measurement and Voltage Tolerance Curves of the Escalator

    Voltage dips may shut down the escalators because of the protection setting, which may cause personal hurt or death for the passengers on the stairs. Understanding the voltage dip immunity of escalator is the base of improving the ability against the voltage dips. This paper established an experimental testing platform and implemented a field test and measurement for the voltage dip immunity of a real escalator. Detail experimental procedure are designed with the consideration of operation conditions, voltage dip types and characteristics of voltage dips. With the testing and measurement, a series of voltage tolerance curves (VTCs) have been drawn to present the immunity of escalator. The impact of operation conditions, voltage dip types and point-on- waves on the immunity are given in detail. The testing and measurement results can help to select voltage dip mitigation devices for escalators.

  • Indoor Positioning in Large Shopping Mall with Context based Map Matching

    This paper focus on large indoor environment and proposes an accurate indoor positioning system with context based map matching. The proposed system adopts the widely used smartphone as the positioning platform of the customer, and mainly depends on the motion sensors in a smartphone. The proposed system firstly provides the initial trajectory of the customer with Pedestrian Dead Reckoning (PDR) and recognize various human activities which are meaningful for the localization. In this paper, we divided the activities into two types: (1) transition activity between floors, such as taking the escalator and elevator; (2) moving on the floor, such as walking outside store, shopping in store and tuning. The hierarchical Long Short-Term Memory (LSTM) Network based activity model is developed to recognize those actives. Secondly, those location-aware activities, PDR trajectories and 2.5D indoor map are integrated in a Hidden Markov Model (HMM) to conduct an accurate indoor positioning. Because the 2.5D map include the position information of indoor facilities such as escalators and each store, these positions information are used as the assistant information for conducting Context based Map Matching. The proposed method has 2.21-meter of positioning error mean and can achieve "shop level" performance.

  • A Data-Driven-Based Wavelet Support Vector Approach for Passenger Flow Forecasting of the Metropolitan Hub

    With the rapid development of the construction and operation of mass transit hubs, passenger data collection, modeling, and prediction for optimal control have become very important. In this paper, pedestrian facilities are abstracted into connected nodes, and the passenger flow network is formed according to the facility connection relationship determined by the traffic organization; therefore, the state variables of the hub, such as saturation, and the traveling time can be estimated by pedestrian flow information collected by camera monitors and a free Wi-Fi network, including the fast analysis of data features and traffic flow prediction. The method is applied to a real case. The features of pedestrian flows are classified as chaotic and nonchaotic. We use a regression model to predict the nonchaotic situation, and the wavelet support vector machine model is proposed for the chaotic. The results can be used for the control of exits and ramps in the hub.

  • Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign

    A pedestrian choice model of vertical walking facilities based on random forest is established in rail transit station considering four key influence factors: interlayer height, luggage, the difference in the number of pedestrians in front of elevator and stairway, and walking speed. This model is verified with the collected data of Changchun light-rail transfer station and Beijing Xi-zhi-men railway transfer station, China, and compared with the choice model based on support vector machine. Prediction results of these two choice models are all good and acceptable. The difference between the mean prediction accuracies of these two pedestrian choice models is small (0.62%). Incorporating the choice model of vertical walking facilities into a cellular automata (CA)-based pedestrian simulation model, and setting reminder sign in front of pedestrian choice zone to reduce conflicts, pedestrian choice behavior of vertical walking facilities in rail transit station is simulated. The simulation results indicate that efficiency of pedestrians passing is improved with the effect of reminder sign, and the distance between reminder sign and vertical walking facilities should be set to be larger than 4 m.

  • Simulation Analysis of Social Norm Formation in Escalator Uses

    Currently observed escalator usage in Japan is to stand on one side, which is considered as a social norm. Originally, escalator usage in Japan took the form of "standing on both sides." Hence escalator usage norms have changed over time. For mainly safety reasons, efforts have been made to establish "standing on both sides" as the social norm for escalator usage. The efforts, however, have not been effective as yet and most people still "stand on one side" when they use an escalator. This paper develops an agent-based model to reproduce the current situation observed in escalator usage expressed like in a game for extensive form and to analyze possible causes as to why "standing on one side" has been established as the current norm based on three hypotheses and finally to examine the effectiveness of measures for changing the current norm.

  • JIS: Pest Population Prognosis with Escalator Boxcar Train

    Pest population prognosis helps the growers in the greenhouse to keep the pest population below the threshold efficiently. INSIM is one of the recognized pest population simulators. However, the implementation of the INSIM simulation faces some difficulties to be executed as a web service. Thus, we propose a Java-based web application using the mathematical model used in INSIM. Additionally to the known model, our implementation is able to give prognosis boundaries based on uncertainty of the temperature development and pest count. The proposed JIS gives lower and upper estimation of the pest population with the mean accuracy of 66.67% against our experimental validation data. Furthermore, the relationship between the area coverage for each yellow sticky trap and its accuracy percentage is investigated.



Standards related to Escalators

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