Globally Spatial-Temporal Perception: a Long-Term Tracking System

The ALICE (A Large Ion Collider Experiment) experiment at CERN will upgrade its Inner Tracking System (ITS) detector. The new ITS will consist of seven coaxial cylindrical layers of ALPIDE silicon sensors which are based on Monolithic Active Pixel Sensor (MAPS) technology. We have studied the radiation hardness of ALPIDE sensors using a 30 MeV proton beam provided by the cyclotron U-120M of the Nuclear Physics Institute of the Czech Academy of Sciences in Řež. In this paper, these long-term measurements will be described. After being irradiated up to the total ionization dose 2.7 Mrad and non-ionizing energy loss 2.7 × 10 13 1 MeV n eq · cm - 2 , ALPIDE sensors fulfill ITS upgrade project technical design requirements in terms of detection efficiency and fake-hit rate.

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Cannabis and Its Different Strains

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000510 ◽

2021 ◽

pp. 1-10

Author(s):

Anna Muro ◽

Ramon Cladellas ◽

Judit Castellà

Keyword(s):

Control Group ◽

Temporal Perception ◽

Self Medication ◽

Therapeutic Uses ◽

Before And After ◽

Cannabis Consumption ◽

Short And Long Term ◽

Different Strains ◽

Main Effects

Abstract. Previous studies show how time perception can be altered by cannabis consumption, but it is not clear yet whether cannabis produces temporal underproductions or overproductions after acute cannabis intoxication. The present study aimed to analyze a sample of 50 regular cannabis users controlling for cannabis strain (sativa, indica, and hybrid) and to compare their scores in a temporal production task before and after consuming cannabis with a control group of 49 nonusers. Results showed that cannabis intake leads to overproductions, suggesting that regular users’ internal tempo slows down after acute intoxication. However, the analyses of main effects showed that indica users, both at baseline levels and after consuming, reported significant underproductions compared to controls, sativa, and hybrid users, and the cannabis-induced effects had a higher magnitude after smoking in the indica-strain group. Results highlight the relevance of including the type of strain consumed in cannabis studies, and they are discussed in terms of short- and long-term alterations in temporal perception under the light of the self-medication theory and the therapeutic uses of cannabis.

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High-Performance Wide-Area Optical Tracking: The HiBall Tracking System

Presence Teleoperators & Virtual Environments ◽

10.1162/105474601750182289 ◽

2001 ◽

Vol 10 (1) ◽

pp. 1-21 ◽

Cited By ~ 86

Author(s):

Greg Welch ◽

Gary Bishop ◽

Leandra Vicci ◽

Stephen Brumback ◽

Kurtis Keller ◽

...

Keyword(s):

High Performance ◽

Tracking System ◽

Optical Tracking ◽

Wide Area ◽

Head Tracking ◽

The Novel ◽

Chapel Hill ◽

Augmented Environments ◽

The University

Since the early 1980s, the Tracker Project at the University of North Carolina at Chapel Hill has been working on wide-area head tracking for virtual and augmented environments. Our long-term goal has been to achieve the high performance required for accurate visual simulation throughout our entire laboratory, beyond into the hallways, and eventually even outdoors. In this article, we present results and a complete description of our most recent electro-optical system, the HiBall Tracking System. In particular, we discuss motivation for the geometric configuration and describe the novel optical, mechanical, electronic, and algorithmic aspects that enable unprecedented speed, resolution, accuracy, robustness, and flexibility.

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DOWNSCALING TROPICAL CYCLONES FROM GLOBAL RE-ANALYSIS AND SCENARIOS: STATISTICS OF MULTI-DECADAL VARIABILITY OF TC ACTIVITY IN E ASIA

Coastal Engineering Proceedings ◽

10.9753/icce.v32.management.17 ◽

2011 ◽

Vol 1 (32) ◽

pp. 17 ◽

Cited By ~ 1

Author(s):

Hans Von Storch ◽

Frauke Feser ◽

Monika Barcikowska

Keyword(s):

Regional Climate Model ◽

Tropical Cyclones ◽

Climate Model ◽

Decadal Variability ◽

Tracking System ◽

Regional Climate ◽

Automated Tracking ◽

Stationary Intensity ◽

Environmental Prediction

An atmospheric regional climate model was employed for describing weather of E Asia for the last decades as well as for the coming century. Re-analyses provided by Global National Center for Environmental Prediction - National Center for Atmospheric Research (NCEP-NCAR) for the past six decades, as well a scenario generated by the ECHAM5/MPI-OM model were dynamically downscaled to a 50 km grid using a state-of-the-art regional climate model (CCLM). Using an automated tracking system, all tropical cyclones (TCs) are identified in the multi-decadal simulations. The different analysis products of TC-statistics were found to differ strongly, also in recent times when the data base was good, so that in the long-term statistics 1950-2010 inhomogeneities mask real climatic variations. The 1948-2009 time series of the annual numbers of TCs in the NCEP-driven simulation and in the JMA best track data (BT) correlate favourably. The number is almost constant, even if there is a slight tendency in BT to show less storms, whereas CCLM shows somewhat more storms, which became more intense. The ECHAM5/MPI-OM-driven scenario simulation, subject to 1959-2100 observed and projected greenhouse gas concentrations, shows a reduction of the number of storms, which maintains a stationary intensity in terms of maximum sustained winds and minimum pressure. Thus, BT-trends and downscaled trends were found to be inconsistent, but also the downscaled trends 1948-2009 and the trends derived from the A1B-scenario were different.

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Integrated automation for configuration management and operations in the ATLAS online computing farm

EPJ Web of Conferences ◽

10.1051/epjconf/201921408022 ◽

2019 ◽

Vol 214 ◽

pp. 08022

Author(s):

Artem Amirkhanov ◽

Sergio Ballestrero ◽

Franco Brasolin ◽

Haydn du Plessis ◽

Christopher Jon Lee ◽

...

Keyword(s):

Tracking System ◽

Configuration Management ◽

Data Sources ◽

Management Tool ◽

External Information ◽

Mass Storage ◽

The Status ◽

And Control ◽

Lifecycle Management

The online farm of the ATLAS experiment at the LHC, consisting of nearly 4000 PCs with various characteristics, provides configuration and control of the detector and performs the collection, processing, selection, and conveyance of event data from the front-end electronics to mass storage. Different aspects of the farm management are already accessible via several tools. The status and health of each node are monitored by a system based on Icinga 2 and Ganglia. PuppetDB gathers centrally all the status information from Puppet, the configuration management tool used to ensure configuration consistency of every node. The in-house Configuration Database (ConfDB) controls DHCP and PXE, while also integrating external information sources. In these proceedings we present our roadmap for integrating these and other data sources and systems, and building a higher level of abstraction on top of this foundation. An automation and orchestration tool will be able to use these systems and replace lengthy manual procedures, some of which also require interactions with other systems and teams, e.g. for the repair of a faulty node. Finally, an inventory and tracking system will complement the available data sources, keep track of node history, and improve the evaluation of long-term lifecycle management and purchase strategies.

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The ILRS Contribution to ITRF2020

10.5194/egusphere-egu21-14739 ◽

2021 ◽

Author(s):

Vincenza Luceri ◽

Erricos C. Pavlis ◽

Antonio Basoni ◽

David Sarrocco ◽

Magdalena Kuzmicz-Cieslak ◽

...

Keyword(s):

Time Series ◽

Tracking System ◽

A Priori ◽

Systematic Errors ◽

Novel Approach ◽

Priori Information ◽

The Stability ◽

The Individual ◽

Stability And Consistency

<p>The International Laser Ranging Service (ILRS) contribution to ITRF2020 has been prepared after the re-analysis of the data from 1993 to 2020, based on an improved modeling of the data and a novel approach that ensures the results are free of systematic errors in the underlying data. This reanalysis incorporates an improved &#8220;target signature&#8221; model (CoM) that allows better separation of true systematic error of each tracking system from the errors in the model describing the target&#8217;s signature. The new approach was developed after the completion of ITRF2014, the ILRS Analysis Standing Committee (ASC) devoting almost entirely its efforts on this task. The robust estimation of persistent systematic errors at the millimeter level permitted the adoption of a consistent set of long-term mean corrections for data collected in past years, which are now applied a priori (information provided by the stations from their own engineering investigations are still taken into consideration). The reanalysis used these corrections, leading to improved results for the TRF attributes, reflected in the resulting new time series of the TRF origin and especially in the scale. Seven official ILRS Analysis Centers computed time series of weekly solutions, according to the guidelines defined by the ILRS ASC. These series were combined by the ILRS Combination Center to obtain the official ILRS product contribution to ITRF2020.</p><p>The presentation will provide an overview of the analysis procedures and models, and it will demonstrate the level of improvement with respect to the previous ILRS product series; the stability and consistency of the solution are discussed for the individual AC contributions and the combined SLR time series.</p>

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Improvement of small animal tracking system named ANTAM for long-term measurement

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ◽

10.1299/jsmermd.2017.2a2-p02 ◽

2017 ◽

Vol 2017 (0) ◽

pp. 2A2-P02

Author(s):

Keiichi OTSUKI ◽

Naohisa NAGAYA ◽

Ryusuke FUJISAWA

Keyword(s):

Tracking System ◽

Small Animal ◽

Animal Tracking ◽

Long Term Measurement

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Geographical indications, implementation and traceability: Gemlik table olives

British Food Journal ◽

10.1108/bfj-09-2015-0341 ◽

2016 ◽

Vol 118 (9) ◽

pp. 2074-2085 ◽

Cited By ~ 4

Author(s):

Sertac Dokuzlu

Keyword(s):

Tracking System ◽

Good Practice ◽

Food Products ◽

Geographical Indications ◽

Registration System ◽

Content Type ◽

Domestic Markets ◽

One Year ◽

And Control

Purpose Geographical indications (GIs) have been implemented across the EU for agricultural and food products for many years and consumers know them well. However, developing countries and/or transitioning economies do not have sufficient experience to apply GIs. The purpose of this paper is to demonstrate ways to implement GI in domestic markets in countries in which there are no common logo and control/tracking systems to help GI holders manage the process. Design/methodology/approach This study uses a qualitative case study to describe a process to implement GI registered food products in domestic markets. The system was developed by the author and applied by the Gemlik Commodity Exchange (GTB). Findings A registration system that allows inspection of producers in GI limits should be established. For good practice and to ensure correct registration, an efficient, established control system, promotion, and conservancy of GI-holding organizations are essential. Practical implications GTB implemented two projects, for which a GI logo and labels with quick-response (QR) codes were created. A regional, GI promotion project was conducted, and after one year, there was no increase in consumer demand, but entering markets became easier, and traders of PDO products began to experience increases in orders and/or shortening of intervals. Long-term implications of the system could not be measured since one year had passed. Originality/value This study develops and demonstrates a QR tracking system for implementation of GIs.

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