SwiftLink: Serendipitous Navigation Strategy for Large-Scale Document Collections

2012 ◽  
Author(s):  
Marc von Wyl ◽  
Stephane Marchand-Maillet
Keyword(s):  
Large Scale ◽  
Document Collections ◽  
Navigation Strategy

scholarly journals Reanalysis of an Allocentric Navigation Strategy Scale based on Item Response Theory

2020 ◽  
Vol 2 (1) ◽  
pp. 90-105
Author(s):  
Jimmy Y. Zhong
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Large Scale ◽  
Relative Magnitude ◽  
Latent Structure ◽  
Response Theory ◽  
Future Studies ◽  
Bidimensional Model ◽  
Navigation Strategy ◽  
Component Loading

AbstractFocusing on 12 allocentric/survey-based strategy items of the Navigation Strategy Questionnaire (Zhong & Kozhevnikov, 2016), the current study applied item response theory-based analysis to determine whether a bidimensional model could better describe the latent structure of the survey-based strategy. Results from item and model fit diagnostics, categorical response and item information curves showed that an item with the lowest rotated component loading (.27) [SURVEY12], could be considered for exclusion in future studies; and that a bidimensional model with three preference-related items constituting a content factor offered a better representation of the latent structure than a unidimensional model per se. Mean scores from these three items also correlated significantly with a pointing-to-landmarks task to the same relative magnitude as the mean scores from all items, and all items excluding SURVEY12. These findings gave early evidence suggesting that the three preference-related items could constitute a subscale for deriving quick estimates of large-scale allocentric spatial processing in healthy adults in both experimental and clinical settings. Potential cognitive and brain mechanisms were discussed, followed by calls for future studies to gather greater evidence confirming the predictive validity of the full and sub scales, along with the design of new items focusing on environmental familiarity.

scholarly journals A Reanalysis of the Survey-based Navigation Strategy Scale based on Item Response Theory

2018 ◽  
Author(s):  
Jimmy Y. Zhong
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Large Scale ◽  
Relative Magnitude ◽  
Latent Structure ◽  
Response Theory ◽  
Future Studies ◽  
Bidimensional Model ◽  
Navigation Strategy ◽  
Component Loading

Focusing on 12 allocentric/survey-based strategy items of the Navigation Strategy Questionnaire (Zhong & Kozhevnikov, 2016), the current study applied item response theory-based analysis to determine whether a bidimensional model could better describe the latent structure of the survey-based strategy. Results from item and model fit diagnostics, categorical response and item information curves showed that an item with the lowest rotated component loading (.27) [SURVEY12], could be considered for exclusion in future studies; and that a bidimensional model with three preference-related items constituting a content factor offered a better representation of the latent structure than a unidimensional model per se. Mean scores from these three items also correlated significantly with a pointing-to-landmarks task to the same relative magnitude as the mean scores from all items, and all items excluding SURVEY12. These findings gave early evidence suggesting that the three preference-related items could constitute a subscale for deriving quick estimates of large-scale allocentric spatial processing in healthy adults in both experimental and clinical settings. Potential cognitive and brain mechanisms were discussed, followed by calls for future studies to gather greater evidence confirming the predictive validity of the full and sub scales, along with the design of new items focusing on environmental familiarity. [COPYRIGHT CC-BY-NC-ND 4.0 J. Y. ZHONG 2018]. AUTHOR'S NOTE: Officially published as "Reanalysis of an Allocentric Navigation Strategy Scale based on Item Response Theory"

TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections

2017 ◽  
Vol 23 (1) ◽  
pp. 151-160 ◽  
Author(s):  
Minjeong Kim ◽  
Kyeongpil Kang ◽  
Deokgun Park ◽  
Jaegul Choo ◽  
Niklas Elmqvist
Keyword(s):  
Large Scale ◽  
Document Collections ◽  
Multi Level

Figure search by text in large scale digital document collections

2021 ◽  
Author(s):  
M. Mücahit Enes Yurtsever ◽  
Muhammet Özcan ◽  
Zübeyir Taruz ◽  
Süleyman Eken ◽  
Ahmet Sayar
Keyword(s):  
Large Scale ◽  
Document Collections ◽  
Digital Document

Near Duplicated Text Detection Based on MapReduce

2013 ◽  
Vol 427-429 ◽  
pp. 2618-2621 ◽  
Author(s):  
Ling Shen ◽  
Qing Xi Peng
Keyword(s):  
Large Scale ◽  
Programming Model ◽  
Linear Time ◽  
Large Data ◽  
Text Detection ◽  
Experimental Result ◽  
Data Sets ◽  
Document Collections ◽  
Document Similarity ◽  
Map Function

As the emerging date intensive applications have received more and more attentions from researchers, its a severe challenge for near duplicated text detection for large scale data. This paper presents an algorithm based on MapReduce and ontology for near duplicated text detection via computing pair document similarity in large scale document collections. We mapping the words in the document to the synonym and then calculate the similarity between them. MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key /value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. In large scale test, experimental result demonstrates that this approach outperforms other state of the art solutions. Many advantages such as linear time and accuracy make the algorithm valuable in actual practice.

scholarly journals Self-Navigating UAVs for Supervising Moving Objects over Large-Scale Wireless Sensor Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Tien Pham Van ◽  
Nguyen Pham Van ◽  
Trung Ha Duyen
Keyword(s):  
Large Scale ◽  
Moving Objects ◽  
Operation Mode ◽  
Object Motion ◽  
Integrated System ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Navigation Strategy ◽  
Reported Data ◽  
Centralized Database

Increasingly inexpensive unmanned aerial vehicles (UAVs) are helpful for searching and tracking moving objects in ground events. Previous works either have assumed that data about the targets are sufficiently available, or they solely rely on on-board electronics (e.g., camera and radar) to chase them. In a searching mission, path planning is essentially preprogrammed before taking off. Meanwhile, a large-scale wireless sensor network (WSN) is a promising means for monitoring events continuously over immense areas. Due to disadvantageous networking conditions, it is nevertheless hard to maintain a centralized database with sufficient data to instantly estimate target positions. In this paper, we therefore propose an online self-navigation strategy for a UAV-WSN integrated system to supervise moving objects. A UAV on duty exploits data collected on the move from ground sensors together with its own sensing information. The UAV autonomously executes edge processing on the available data to find the best direction toward a target. The designed system eliminates the need of any centralized database (fed continuously by ground sensors) in making navigation decisions. We employ a local bivariate regression to formulate acquired sensor data, which lets the UAV optimally adjust its flying direction, synchronously to reported data and object motion. In addition, we also construct a comprehensive searching and tracking framework in which the UAV flexibly sets its operation mode. As a result, least communication and computation overhead is actually induced. Numerical results obtained from NS-3 and Matlab cosimulations have shown that the designed framework is clearly promising in terms of accuracy and overhead costs.

Analysis of the Large-scale Navigation Strategy of Wild Echolocating Bats

2017 ◽  
Vol 2017 (0) ◽  
pp. 2A2-Q01
Author(s):  
Emyo FUJIOKA ◽  
Tomohiro UJINO ◽  
Dai FUKUI ◽  
Ken YODA ◽  
Shizuko HIRYU
Keyword(s):  
Large Scale ◽  
Navigation Strategy

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.

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