A Spatio-temporal Simulation Model for Movement Data Generation

Alberg, Dima; Elnekave, Sigal

doi:10.1109/icdmw.2008.56

Cited by 2 publications

(2 citation statements)

References 18 publications

(21 reference statements)

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“…Also our research can be applied to many of related areas in order to increase imposed value of each area, such as enhancement of mobility model D. Alberg, M. Last, and S. Elnekave, [7], and D. Guo and W. Cui, [8].…”

Section: Resultsmentioning

confidence: 99%

Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

Song

Kang

2018

ITM Web Conf.

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A relationship between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to be normalized into rates of visit and outlier data is prunned. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper.

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Section: Resultsmentioning

confidence: 99%

Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

Song

Kang

2018

ITM Web Conf.

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“…They are temporal and spatial information mapping functions and sequence of multi-dimensional points denoted as TR = p 1, …,p i, …,p n , where p i represent a d dimensional point [7] [8].…”

Section: B Navigational Satellite Trajectoriesmentioning

confidence: 99%

Considering trajectory outlier detection methods in verification of navigation satellite messages

Altay

Kurnaz

Kalipsiz

2011

Proceedings of 5th International Conference on Recent Advances in Space Technologies - RAST2011

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Approximately a thousand artificial satellites operate in orbit around their parent's bodies. These man-made celestial objects are employed for observation, communication, navigation, weather forecast and research purposes. Sending high accuracy ephemeris and clock offset data to Earth; navigation satellites help receivers estimate their location and precise time. The accuracy of receivers' location information and transmitting time data depends on compensable and noncompensable errors. Compensating the perturbations, Augmented GNSS propagate error correction signals based upon carefully surveyed locations. Notwithstanding Augmented GNSS ensures receivers' collecting reliable, accurate and available navigation signals and correction even in globally spoofed medium, local spoofers and jammers still are sources of threat. At this multi-GNSS age, users want to know whether the announced or calculated data are valid or not. To confirm the received signals, there are techniques that necessitate additional devices, antenna arrays and high computational cost. In this paper, we want to get researchers attention to trajectory outlier detection methods as an auxiliary to validate the signals the navigation satellite or Augmented GNSS send. Considering trajectory outlier detection methods in verification of navigation satellite messages is relatively low cost and not requiring additional device. In this approach, although a simple GNSS receiver is adequate, receiving the Augmented GNSS signal is preferable.

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A Spatio-temporal Simulation Model for Movement Data Generation

Cited by 2 publications

References 18 publications

Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

Considering trajectory outlier detection methods in verification of navigation satellite messages

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