scholarly journals Large Scale Activity Monitoring for distributed honeynets

2007 ◽  
Author(s):  
Jerome Francois ◽  
Radu State ◽  
Olivier Festor
Keyword(s):  
Large Scale ◽  
Activity Monitoring

scholarly journals The Drosophila Individual Activity Monitoring and Detection System (DIAMonDS)

2020 ◽  
Author(s):  
Ki-Hyeon Seong ◽  
Taishi Matsumura ◽  
Yuko Shimada-Niwa ◽  
Ryusuke Niwa ◽  
Siu Kang
Keyword(s):  
Web Application ◽  
Large Scale ◽  
Detection System ◽  
Time Lapse ◽  
Activity Monitoring ◽  
High Temporal Resolution ◽  
Individual Activity ◽  
Chemical Screening ◽  
Genetic And Environmental Factors ◽  
A Charge

AbstractHere, we have developed DIAMonDS (Drosophila Individual Activity Monitoring and Detection System) comprising time-lapse imaging by a charge-coupled device (CCD) flatbed scanner and Sapphire, a novel algorithm and web application. DIAMonDS automatically and sequentially identified the transition time points of multiple life cycle events such as pupariation, eclosion, and death in individual flies at high temporal resolution and on a large scale. DIAMonDS performed simultaneous multiple scans to measure individual deaths (≤ 1,152 flies per scanner) and pupariation and eclosion timings (≤ 288 flies per scanner) under various chemical exposures, environmental conditions, and genetic backgrounds. DIAMonDS correctly identified 74–85% of the pupariation and eclosion events and ∼92% of the death events within ±10 scanning frames. This system is a powerful tool for studying the influences of genetic and environmental factors on fruit flies and efficient, high-throughput genetic and chemical screening in drug discovery.

scholarly journals Physical Activity Monitoring Preferences in Adults With Bipolar Disorder

2021 ◽  
Vol 12 ◽  
Author(s):  
Carol A. Janney ◽  
Abigail R. Ducheine ◽  
Robert Reichmann ◽  
Matthew A. Stack ◽  
Andrea Fagiolini
Keyword(s):  
Physical Activity ◽  
Bipolar Disorder ◽  
Large Scale ◽  
Secondary Data ◽  
Activity Monitor ◽  
Activity Monitoring ◽  
Psychiatric Institute ◽  
Activity Monitors ◽  
Physical Activity Monitoring ◽  
Caucasian Women

This report investigated physical activity (PA) monitoring preferences and problems among adults with bipolar disorder (BD).Methods: PARC2 study was conducted at the Western Psychiatric Institute and Clinic at the University of Pittsburgh. This secondary data analysis assessed three PA monitors; Body Media SW Pro Armband, Actigraph AM-7164, and Pedometer Omron HJ-720IT. PA monitors were worn simultaneously for 1 week. Participants reported preferences and problems (irritating, cumbersome, movement of the activity monitor, technical difficulties, and impaired functioning) encountered with each activity monitor.Results: Approximately 70% of the participants (n = 66) were middle-aged Caucasian women with a diagnosis of BD I and overweight. Sixty-six adults with BD wore all 3 monitors simultaneously. Twelve (18%) participants had no PA monitoring preference, 28 (42%) preferred the armband, 17 (26%) preferred the pedometer and 9 (14%) preferred the Actigraph. Activity monitoring preferences did not statistically differ by age, gender, race, BMI, diagnosis, or depressive and mania symptoms (p > 0.25). Two-thirds of the participants (64%) had at least one problem with at least one activity monitor. As far as problem categories, more than a quarter of participants reported irritation with the Armband (26%, n = 17) and movement of the pedometer (32%, n = 21). No statistically significant association was observed between activity monitoring preferences and problems (p = 0.72).Discussion: Adults with BD were willing to wear activity monitors even though problems were reported. Preference of physical activity monitors, in descending order, was the armband, pedometer, and Actigraph. One fifth of the adults with BD reported no preferences in activity monitors. The activity monitors selected for investigation included the “gold standard” in activity monitoring (Actigraph) worn at the waist as well as a research grade pedometer that is considerably more affordable, provides activity feedback in real-time, and may be a more feasible option for large scale studies.

scholarly journals High-throughput imaging of Caenorhabditis elegans aging using collective activity monitoring

2021 ◽  
Author(s):  
Anthony D Fouad ◽  
Matthew A Churgin ◽  
Julia Hayden ◽  
Joyce Xu ◽  
Jeong-Inn Park ◽  
...  
Keyword(s):  
Large Scale ◽  
Imaging System ◽  
Activity Monitoring ◽  
Automated System ◽  
Aging Research ◽  
C Elegans ◽  
Collective Activity ◽  
Large Numbers ◽  
Natural Isolates ◽  
Rate Of Decline

The genetic manipulability and short lifespan of C. elegans make it an important model for aging research. Widely applied methods for measurements of worm aging based on manual observation are labor intensive and low-throughput. Here, we describe the Worm Collective Activity Monitoring Platform (WormCamp), a system for assaying aging in C. elegans by monitoring activity of populations of worms in standard 24-well plates. We show that metrics based on the rate of decline in collective activity can be used to estimate the average lifespan and locomotor healthspan in the population. Using the WormCamp, we assay a panel of highly divergent natural isolates of C. elegans and show that both lifespan and locomotor healthspan display substantial heritability. To facilitate analysis of large numbers of worms, we developed a robotic imaging system capable of simultaneous automated monitoring of activity, lifespan, and locomotor healthspan in up to 2,304 populations containing a total of ~90,000 animals. We applied the automated system to conduct a large-scale RNA interference screen for genes that affect lifespan and locomotor healthspan. The WormCamp system is complementary to other current automated methods for assessing C. elegans aging and is well suited for efficiently screening large numbers of conditions.

scholarly journals The Drosophila Individual Activity Monitoring and Detection System (DIAMonDS)

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Ki-Hyeon Seong ◽  
Taishi Matsumura ◽  
Yuko Shimada-Niwa ◽  
Ryusuke Niwa ◽  
Siu Kang
Keyword(s):  
Web Application ◽  
Large Scale ◽  
Detection System ◽  
Time Lapse ◽  
Activity Monitoring ◽  
High Temporal Resolution ◽  
Individual Activity ◽  
Chemical Screening ◽  
Genetic And Environmental Factors ◽  
A Charge

Here, we have developed DIAMonDS (Drosophila Individual Activity Monitoring and Detection System) comprising time-lapse imaging by a charge-coupled device (CCD) flatbed scanner and Sapphire, a novel algorithm and web application. DIAMonDS automatically and sequentially identified the transition time points of multiple life cycle events such as pupariation, eclosion, and death in individual flies at high temporal resolution and on a large scale. DIAMonDS performed simultaneous multiple scans to measure individual deaths (≤1152 flies per scanner) and pupariation and eclosion timings (≤288 flies per scanner) under various chemical exposures, environmental conditions, and genetic backgrounds. DIAMonDS correctly identified 74–85% of the pupariation and eclosion events and ~ 92% of the death events within ± 10 scanning frames. This system is a powerful tool for studying the influences of genetic and environmental factors on fruit flies and efficient, high-throughput genetic and chemical screening in drug discovery.

scholarly journals Sensing leg movement enhances wearable monitoring of energy expenditure

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Patrick Slade ◽  
Mykel J. Kochenderfer ◽  
Scott L. Delp ◽  
Steven H. Collins
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Large Scale ◽  
Activity Monitoring ◽  
Training Data ◽  
Metabolic Energy ◽  
Stair Climbing ◽  
Time Varying ◽  
Wearable System ◽  
Physical Activity Monitoring

AbstractPhysical inactivity is the fourth leading cause of global mortality. Health organizations have requested a tool to objectively measure physical activity. Respirometry and doubly labeled water accurately estimate energy expenditure, but are infeasible for everyday use. Smartwatches are portable, but have significant errors. Existing wearable methods poorly estimate time-varying activity, which comprises 40% of daily steps. Here, we present a Wearable System that estimates metabolic energy expenditure in real-time during common steady-state and time-varying activities with substantially lower error than state-of-the-art methods. We perform experiments to select sensors, collect training data, and validate the Wearable System with new subjects and new conditions for walking, running, stair climbing, and biking. The Wearable System uses inertial measurement units worn on the shank and thigh as they distinguish lower-limb activity better than wrist or trunk kinematics and converge more quickly than physiological signals. When evaluated with a diverse group of new subjects, the Wearable System has a cumulative error of 13% across common activities, significantly less than 42% for a smartwatch and 44% for an activity-specific smartwatch. This approach enables accurate physical activity monitoring which could enable new energy balance systems for weight management or large-scale activity monitoring.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Evolution of Large-Scale Coronal Structures

1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož
Keyword(s):  
Magnetic Field ◽  
Field Line ◽  
Large Scale ◽  
Coronal Magnetic Field ◽  
Source Surface ◽  
Solar Cycles ◽  
Characteristic Relationship ◽  
The Magnetic Field ◽  
Coronal Structures

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.

Large-scale Motion of Solar Filaments

2000 ◽  
Vol 179 ◽  
pp. 205-208
Author(s):  
Pavel Ambrož ◽  
Alfred Schroll
Keyword(s):  
Magnetic Flux ◽  
Proper Motion ◽  
Time Scale ◽  
Large Scale ◽  
Accuracy Of Measurements ◽  
Solar Filaments ◽  
General Movement ◽  
Scale Motion ◽  
Velocity Scatter

AbstractPrecise measurements of heliographic position of solar filaments were used for determination of the proper motion of solar filaments on the time-scale of days. The filaments have a tendency to make a shaking or waving of the external structure and to make a general movement of whole filament body, coinciding with the transport of the magnetic flux in the photosphere. The velocity scatter of individual measured points is about one order higher than the accuracy of measurements.

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