An Automatic Performance Tracking System for Large-Scale Numerical Applications

2016 ◽  
pp. 119-127
Author(s):  
Shoichi Hirasawa ◽  
Hiroyuki Takizawa ◽  
Hiroaki Kobayashi
Keyword(s):  
Large Scale ◽  
Tracking System ◽  
Performance Tracking

Do elite soccer players cover longer distance when losing? Differences between attackers and defenders

2020 ◽  
pp. 174795412098227
Author(s):  
Carlos Lago-Peñas ◽  
Anton Kalén ◽  
Miguel Lorenzo-Martinez ◽  
Roberto López-Del Campo ◽  
Ricardo Resta ◽  
...  
Keyword(s):  
New York ◽  
High Speed ◽  
Large Scale ◽  
Tracking System ◽  
Soccer Players ◽  
Running Performance ◽  
Situational Variables ◽  
Total Distance ◽  
Professional Soccer ◽  
Score Line

This study aimed to evaluate the effects playing position, match location (home or away), quality of opposition (strong or weak), effective playing time (total time minus stoppages), and score-line on physical match performance in professional soccer players using a large-scale analysis. A total of 10,739 individual match observations of outfield players competing in the Spanish La Liga during the 2018–2019 season were recorded using a computerized tracking system (TRACAB, Chyronhego, New York, USA). The players were classified into five positions (central defenders, players = 94; external defenders, players = 82; central midfielders, players = 101; external midfielders, players = 72; and forwards, players = 67) and the following match running performance categories were considered: total distance covered, low-speed running (LSR) distance (0–14 km · h−1), medium-speed running (MSR) distance (14–21 km · h−1), high-speed running (HSR) distance (>21 km · h−1), very HSR (VHSR) distance (21–24 km · h−1), sprint distance (>24 km · h−1) Overall, match running performance was highly dependent on situational variables, especially the score-line condition (winning, drawing, losing). Moreover, the score-line affected players running performance differently depending on their playing position. Losing status increased the total distance and the distance covered at MSR, HSR, VHSR and Sprint by defenders, while attacking players showed the opposite trend. These findings may help coaches and managers to better understand the effects of situational variables on physical performance in La Liga and could be used to develop a model for predicting the physical activity profile in competition.

Accurate Infrared Tracking System for Immersive Virtual Environments

2011 ◽  
Vol 2 (2) ◽  
pp. 49-73 ◽  
Author(s):  
Filipe Gaspar ◽  
Rafael Bastos ◽  
Miguel Sales
Keyword(s):  
Virtual Environments ◽  
Large Scale ◽  
Tracking System ◽  
3D Structure ◽  
Optical Tracking ◽  
Frame Rate ◽  
Input Device ◽  
Optical Tracking System ◽  
Immersive Virtual Environments ◽  
Hardware Configuration

In large-scale immersive virtual reality (VR) environments, such as a CAVE, one of the most common problems is tracking the position of the user’s head while he or she is immersed in this environment to reflect perspective changes in the synthetic stereoscopic images. In this paper, the authors describe the theoretical foundations and engineering approach adopted in the development of an infrared-optical tracking system designed for large scale immersive Virtual Environments (VE) or Augmented Reality (AR) settings. The system is capable of tracking independent retro-reflective markers arranged in a 3D structure in real time, recovering all possible 6DOF. These artefacts can be adjusted to the user’s stereo glasses to track his or her head while immersed or used as a 3D input device for rich human-computer interaction (HCI). The hardware configuration consists of 4 shutter-synchronized cameras attached with band-pass infrared filters and illuminated by infrared array-emitters. Pilot lab results have shown a latency of 40 ms when simultaneously tracking the pose of two artefacts with 4 infrared markers, achieving a frame-rate of 24.80 fps and showing a mean accuracy of 0.93mm/0.51º and a mean precision of 0.19mm/0.04º, respectively, in overall translation/rotation, fulfilling the requirements initially defined.

Use of Hybrid Engine Modeling for On-Board Module Performance Tracking

2005 ◽  
Author(s):  
Allan J. Volponi
Keyword(s):  
Real Time ◽  
Tracking System ◽  
Reference Level ◽  
Practical Consideration ◽  
Variable Model ◽  
Engine Model ◽  
Engine Modeling ◽  
Performance Tracking ◽  
Time Operation ◽  
Module Performance

A practical consideration for implementing a real-time on-board Module performance tracking system is the development of a high fidelity engine model capable of providing a reference level from which performance changes can be tracked. Real-time engine models made their advent with the State Variable Model (SVM) in the mid-80’s which provided a piecewise linear model that granted a reasonable representation of the engine during steady state operation and mild transients. Increased processor speeds over the next decade allowed more complex models to be considered which were combinations of linear and non-linear physics based components. While the latter may provide greater fidelity over transient operation and flight envelope excursions, it bears the limitation of potential model obsolescence as performance improvements in the form of hardware modifications, bleed and stator vane schedules alterations, cooling flow adjustments, and the like are made during an engine’s life cycle. Over time, these models may deviate enough from the actual engine being monitored that the module performance estimations are inaccurate and misleading. This paper describes an alternate approach to engine modeling by applying a hybrid engine model architecture that incorporates both physics-based and empirical components. This methodology provides a means to tune the engine model to a particular configuration as the engine development matures and furthermore, aligns the model to the particular engine being monitored to insure accurate performance tracking while not compromising real-time operation.

Design and Implementation of Hybrid Automatic Solar-Tracking System

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
Nur Mohammad ◽  
Tarequl Karim
Keyword(s):  
Large Scale ◽  
Tracking System ◽  
Research Work ◽  
Solar Tracking ◽  
Software Implementations ◽  
Solar Thermal Collectors ◽  
Solar Tracker ◽  
Added Benefit ◽  
Solar Conversion ◽  
Solar Position

A solar tracker is a system for orienting solar photovoltaic modules and solar thermal collectors toward the sun. This paper presents a microcontroller based energy efficient hybrid automatic solar-tracking system with a view to assess the improvement in solar conversion efficiency. The two-axis solar-tracking system is constructed with both hardware and software implementations. The proposed tracking system uses a new solar position sensor with adaptive features. A comparative analysis was performed using four systems, i.e., hybrid tracking, dual-axis, single-axis, and stationary module. The results showed that the use of the dual-axis tracking system produced 18% gain of power output, compared with a single-axis tracking system. The gain of output power with the hybrid tracking system was much higher (54%) when compared with a stationary system inclined at 23.5 deg to the horizontal. Considering the state of the art of the technology, successful strategy, robust control philosophy, and the potential added benefit of this research work can be employed on a large scale in sustainable manner.

scholarly journals A non-invasive radar system for automated behavioural tracking: application to sheep

2020 ◽  
Author(s):  
Alexandre Dore ◽  
Cristian Pasquaretta ◽  
Dominique henry ◽  
Edmond Ricard ◽  
Jean-François Bompard ◽  
...  
Keyword(s):  
Large Scale ◽  
Spatial Scales ◽  
Tracking System ◽  
Genetic Selection ◽  
Radar Data ◽  
Millimetre Wave ◽  
Non Invasive ◽  
Electromagnetic Power ◽  
Automated Quantification ◽  
Behavioural Phenotyping

AbstractAutomated quantification of the behaviour of freely moving animals is increasingly needed in ethology, ecology, genetics and evolution. State-of-the-art approaches often require tags to identify animals, high computational power for data collection and processing, and are sensitive to environmental conditions, which limits their large-scale utilisation. Here we introduce a new automated tracking system based on millimetre-wave radars for real time robust and high precision monitoring of untagged animals. To validate our system, we tracked 64 sheep in a standard indoor behavioural test used for genetic selection. First, we show that the proposed radar application is faster and more accurate than conventional video and infrared tracking systems. Next, we illustrate how new behavioural estimators can be derived from the radar data to assess personality traits in sheep for behavioural phenotyping. Finally, we demonstrate that radars can be used for movement tracking at larger spatial scales, in the field, by adjusting operating frequency and radiated electromagnetic power. Millimetre-wave radars thus hold considerable promises for high-throughput recording of the behaviour of animals with various sizes and locomotor modes, in different types of environments.

scholarly journals A large-scale automated radio telemetry network for monitoring movements of terrestrial wildlife in Australia

2020 ◽  
Vol 40 (3) ◽  
pp. 379-391 ◽  
Author(s):  
Andrea S. Griffin ◽  
Culum Brown ◽  
Bradley K. Woodworth ◽  
Guy-Anthony Ballard ◽  
Stuart Blanch ◽  
...  
Keyword(s):  
Open Source ◽  
Large Scale ◽  
Radio Telemetry ◽  
Research Effort ◽  
Tracking System ◽  
Global Network ◽  
Tracking Systems ◽  
System A ◽  
Wildlife Tracking ◽  
Conservation Funding

Technologies for remotely observing animal movements have advanced rapidly in the past decade. In recent years, Australia has invested in an Integrated Marine Ocean Tracking (IMOS) system, a land ecosystem observatory (TERN), and an Australian Acoustic Observatory (A2O), but has not established movement tracking systems for individual terrestrial animals across land and along coastlines. Here, we make the case that the Motus Wildlife Tracking System, an open-source, rapidly expanding cooperative automated radio-tracking global network (Motus, https://motus.org ) provides an unprecedented opportunity to build an affordable and proven infrastructure that will boost wildlife biology research and connect Australian researchers domestically and with international wildlife research. We briefly describe the system conceptually and technologically, then present the unique strengths of Motus, how Motus can complement and expand existing and emerging animal tracking systems, and how the Motus framework provides a much-needed central repository and impetus for archiving and sharing animal telemetry data. We propose ways to overcome the unique challenges posed by Australia’s ecological attributes and the size of its scientific community. Open source, inherently cooperative and flexible, Motus provides a unique opportunity to leverage individual research effort into a larger collaborative achievement, thereby expanding the scale and scope of individual projects, while maximising the outcomes of scant research and conservation funding.

scholarly journals An overview of methodologies for real-time detection, characterisation and tracking of traveling ionospheric disturbances developed in the TechTIDE project

2020 ◽  
Vol 10 ◽  
pp. 42
Author(s):  
Anna Belehaki ◽  
Ioanna Tsagouri ◽  
David Altadill ◽  
Estefania Blanch ◽  
Claudia Borries ◽  
...  
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Tracking System ◽  
Warning System ◽  
Satellite System ◽  
Ionospheric Disturbances ◽  
Time Activity ◽  
Travelling Ionospheric Disturbances ◽  
Additional Information ◽  
Global Navigation Satellite

The main objective of the TechTIDE project (warning and mitigation technologies for travelling ionospheric disturbances effects) is the development of an identification and tracking system for travelling ionospheric disturbances (TIDs) which will issue warnings of electron density perturbations over large world regions. The TechTIDE project has put in operation a real-time warning system that provides the results of complementary TID detection methodologies and many potential drivers to help users assess the risks and develop mitigation techniques tailored to their applications. The TechTIDE methodologies are able to detect in real time activity caused by both large-scale and medium-scale TIDs and characterize background conditions and external drivers, as an additional information required by the users to assess the criticality of the ongoing disturbances in real time. TechTIDE methodologies are based on the exploitation of data collected in real time from Digisondes, Global Navigation Satellite System (GNSS) receivers and Continuous Doppler Sounding System (CDSS) networks. The results are obtained and provided to users in real time. The paper presents the achievements of the project and discusses the challenges faced in the development of the final TechTIDE warning system.

scholarly journals Passive Wi-Fi monitoring in the wild: a long-term study across multiple location typologies

2020 ◽  
Author(s):  
Miguel Ribeiro ◽  
Nuno Nunes ◽  
Valentina Nisi ◽  
Johannes Schöning
Keyword(s):  
Public Transportation ◽  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Tracking System ◽  
Human Mobility ◽  
Transportation Systems ◽  
Mobility Patterns ◽  
Systematic Analysis ◽  
Long Term Study

Abstract In this paper, we present a systematic analysis of large-scale human mobility patterns obtained from a passive Wi-Fi tracking system, deployed across different location typologies. We have deployed a system to cover urban areas served by public transportation systems as well as very isolated and rural areas. Over 4 years, we collected 572 million data points from a total of 82 routers covering an area of 2.8 km2. In this paper we provide a systematic analysis of the data and discuss how our low-cost approach can be used to help communities and policymakers to make decisions to improve people’s mobility at high temporal and spatial resolution by inferring presence characteristics against several sources of ground truth. Also, we present an automatic classification technique that can identify location types based on collected data.

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