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Articles 1 - 11 of 11
Full-Text Articles in Social and Behavioral Sciences
Anomaly Detection On Social Data, Hanbo Dai
Anomaly Detection On Social Data, Hanbo Dai
Dissertations and Theses Collection (Open Access)
The advent of online social media including Facebook, Twitter, Flickr and Youtube has drawn massive attention in recent years. These online platforms generate massive data capturing the behavior of multiple types of human actors as they interact with one another and with resources such as pictures, books and videos. Unfortunately, the openness of these platforms often leaves them highly susceptible to abuse by suspicious entities such as spammers. It therefore becomes increasingly important to automatically identify these suspicious entities and eliminate their threats. We call these suspicious entities anomalies in social data, as they often hold different agenda comparing to …
A Social History Of Technology In Libraries, Richard Hacken
A Social History Of Technology In Libraries, Richard Hacken
Faculty Publications
For the International Conference on Information Systems and Technologies in Tangier, Morocco, on March 22, 2013, I presented a social history of technology in libraries over the past 30 years. In addition I speculated what the future may bring socially and technologically, obviously from my perspective as a librarian.
Effects Of Atmospheric Light Scattering On Spectroscopic Observations Of Greenhouse Gases From Space. Part 2: Algorithm Intercomparison In The Gosat Data Processing For Co2 Retrievals Over Tccon Sites, Sergey Oshchepkov, Andrey Bril, Tatsuya Yokota, Paul O. Wennberg, Nicholas M. Deutscher, Debra Wunch, Geoffrey C. Toon, Yukio Yoshida, Christopher W. O'Dell, David Crisp, Charles E. Miller, Christian Frankenberg, Andre Butz, Ilse Aben, Sandrine Guerlet, Otto Hasekamp, Hartmut Boesch, Austin Cogan, Robert Parker, David Griffith, Ronald Macatangay, Justus Notholt, Ralf Sussmann, Markus Rettinger, Vanessa Sherlock, John Robinson, Esko Kyro, Pauli Heikkinen, Dietrich G. Feist, Isamu Morino, Nikolay Kadygrov, Dmitry Belikov, Shamil Maksyutov, Tsuneo Matsunaga, Osamu Uchino, Hiroshi Watanabe
Effects Of Atmospheric Light Scattering On Spectroscopic Observations Of Greenhouse Gases From Space. Part 2: Algorithm Intercomparison In The Gosat Data Processing For Co2 Retrievals Over Tccon Sites, Sergey Oshchepkov, Andrey Bril, Tatsuya Yokota, Paul O. Wennberg, Nicholas M. Deutscher, Debra Wunch, Geoffrey C. Toon, Yukio Yoshida, Christopher W. O'Dell, David Crisp, Charles E. Miller, Christian Frankenberg, Andre Butz, Ilse Aben, Sandrine Guerlet, Otto Hasekamp, Hartmut Boesch, Austin Cogan, Robert Parker, David Griffith, Ronald Macatangay, Justus Notholt, Ralf Sussmann, Markus Rettinger, Vanessa Sherlock, John Robinson, Esko Kyro, Pauli Heikkinen, Dietrich G. Feist, Isamu Morino, Nikolay Kadygrov, Dmitry Belikov, Shamil Maksyutov, Tsuneo Matsunaga, Osamu Uchino, Hiroshi Watanabe
Faculty of Science, Medicine and Health - Papers: part A
This report is the second in a series of companion papers describing the effects of atmospheric light scattering in observations of atmospheric carbon dioxide (CO2) by the Greenhouse gases Observing SATellite (GOSAT), in orbit since 23 January 2009. Here we summarize the retrievals from six previously published algorithms; retrieving column-averaged dry air mole fractions of CO2 (XCO2) during 22 months of operation of GOSAT from June 2009. First, we compare data products from each algorithm with ground-based remote sensing observations by Total Carbon Column Observing Network (TCCON). Our GOSAT-TCCON coincidence criteria select satellite observations within a 5° radius of 11 …
Cost And Time Aware Ant Colony Algorithm For Data Replica In Alpha Magnetic Spectrometer Experiment, Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong
Cost And Time Aware Ant Colony Algorithm For Data Replica In Alpha Magnetic Spectrometer Experiment, Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong
Faculty of Engineering and Information Sciences - Papers: Part A
Huge collections of data have been created in recent years. Cloud computing provides a way to enable massive amounts of data to work together as data-intensive services. Considering Big Data and the cloud together, which is a practical and economical way to deal with Big Data, will accelerate the availability and acceptability of analysis of the data. Providing an efficient mechanism for optimized data-intensive services will become critical to meet the expected growth in demand. Because the competition is an extremely important factor in the marketplace, the cost model for data-intensive service provision is the key to provide a sustainable …
Approximation Algorithm For Data Broadcasting In Duty Cycled Multi-Hop Wireless Networks, Dianbo Zhao, Kwan-Wu Chin
Approximation Algorithm For Data Broadcasting In Duty Cycled Multi-Hop Wireless Networks, Dianbo Zhao, Kwan-Wu Chin
Faculty of Engineering and Information Sciences - Papers: Part A
Broadcast is a fundamental operation in wireless networks. To this end, many past studies have studied the NP-hard, broadcast problem for always-on multi-hop networks. However, in wireless sensor networks, nodes are powered by batteries, meaning, they have finite energy. Consequently, nodes are required to have a low duty cycle, whereby they switch between active and sleep state periodically. This means that a transmission from a node may not reach all of its neighbors simultaneously. Consequently, any developed broadcast protocols must consider collisions and the wake-up times of neighboring nodes. Henceforth, this paper studies the minimum latency broadcast scheduling problem in …
Gmc ['Gimik]: A One-Variable Monte Carlo Dose Algorithm For Proton Therapy, N Depauw, B Clasie, T Madden, Anatoly B. Rosenfeld, H Kooy
Gmc ['Gimik]: A One-Variable Monte Carlo Dose Algorithm For Proton Therapy, N Depauw, B Clasie, T Madden, Anatoly B. Rosenfeld, H Kooy
Faculty of Engineering and Information Sciences - Papers: Part A
Presentation made at the International Conference on the Use of Computers in Radiation Therapy, 6-9 May 2013, Melbourne Convention and Exhibition Centre, Australia
Condition Monitoring Of Slow Speed Slewing Bearing Based On Largest Lyapunov Exponent Algorithm And Circular-Domain Feature Extractions, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Condition Monitoring Of Slow Speed Slewing Bearing Based On Largest Lyapunov Exponent Algorithm And Circular-Domain Feature Extractions, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a combined nonlinear and circular features extraction-based condition monitoring method for low speed slewing bearing. The proposed method employs the largest Lyapunov exponent (LLE) algorithm as a signal processing method based on vibration data. LLE is used to detect chaos existence in vibration data in discrete angular positions of the shaft. From the processed data, circular features such as mean, skewness and kurtosis are calculated and monitored. It is shown that the onset and the progressively deteriorating bearing condition can be detected more clearly in circular-domain features compared to time-domain features. The application of the method is …
Economical Data-Intensive Service Provision Supported With A Modified Genetic Algorithm, Lijuan Wang, Jun Shen
Economical Data-Intensive Service Provision Supported With A Modified Genetic Algorithm, Lijuan Wang, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
The explosion of digital data and the dependence on data-intensive services have been recognized as the most significant characteristics of the decade. Providing efficient mechanisms for optimized data-intensive services will become critical to meet the expected growing demand. In order to create a cost minimizing data-intensive service composition solution, we design two steps and two negotiation processes over the lifetime of a data-intensive service composition. The solution for the first step is presented in this paper. The proposed service selection algorithm is based on a modified genetic algorithm, which some modifications of crossover and mutation operators are adopted in order …
A Composite Quality-Guided Phase Unwrapping Algorithm For Fast 3d Profile Measurement, Ke Chen, Jiangtao Xi, Yanguang Yu, Limei Song
A Composite Quality-Guided Phase Unwrapping Algorithm For Fast 3d Profile Measurement, Ke Chen, Jiangtao Xi, Yanguang Yu, Limei Song
Faculty of Engineering and Information Sciences - Papers: Part A
Fringe pattern profilometry (FPP) is one of the most promising 3D profile measurement techniques, which has been widely applied in many areas. A challenge problem associated with FPP is the unwrapping of wrapped phase maps resulted from complex object surface shapes. Although existing quality-guided phase unwrapping algorithms are able to solve such a problem, they are usually extensively computational expensive and not able to be applied to fast 3D measurement scenarios. This paper proposes a new quality-guided phase unwrapping algorithm with higher computational efficiency than the conventional ones. In the proposed method, a threshold of quality value is used to …
Improvement Of The Retrieval Algorithm For Gosat Swir Xco2 And Xch4 And Their Validation Using Tccon Data, Y Yoshida, N Kikuchi, I Morino, O Uchino, S Oshchepkov, A Bril, T Saeki, N Schutgens, G C. Toon, D Wunch, C M. Roehl, P O. Wennberg, D W. T Griffith, N M. Deutscher, T Warneke, J Notholt, J Robinson, V Sherlock, B Connor, M Rettinger, R Sussmann, P Ahonen, P Heikkinen, E Kyro, J Mendonca, K Strong, F Hase, S Dohe, T Yokota
Improvement Of The Retrieval Algorithm For Gosat Swir Xco2 And Xch4 And Their Validation Using Tccon Data, Y Yoshida, N Kikuchi, I Morino, O Uchino, S Oshchepkov, A Bril, T Saeki, N Schutgens, G C. Toon, D Wunch, C M. Roehl, P O. Wennberg, D W. T Griffith, N M. Deutscher, T Warneke, J Notholt, J Robinson, V Sherlock, B Connor, M Rettinger, R Sussmann, P Ahonen, P Heikkinen, E Kyro, J Mendonca, K Strong, F Hase, S Dohe, T Yokota
Faculty of Science, Medicine and Health - Papers: part A
The column-averaged dry-air mole fractions of carbon dioxide and methane (XCO2 and XCH4) have been retrieved from Greenhouse gases Observing SATellite (GOSAT) Short-Wavelength InfraRed (SWIR) observations and released as a SWIR L2 product from the National Institute for Environmental Studies (NIES). XCO2 and XCH4 retrieved using the version 01.xx retrieval algorithm showed large negative biases and standard deviations (−8.85 and 4.75 ppm for XCO2 and −20.4 and 18.9 ppb for XCH4, respectively) compared with data of the Total Carbon Column Observing Network (TCCON). Multiple reasons for these error characteristics (e.g., solar irradiance database, handling of aerosol scattering) are identified and …
Path Planning With A Lazy Significant Edge Algorithm (Lsea), Joseph Polden, Zengxi Pan, Nathan Larkin, Stephen Van Duin
Path Planning With A Lazy Significant Edge Algorithm (Lsea), Joseph Polden, Zengxi Pan, Nathan Larkin, Stephen Van Duin
Faculty of Engineering and Information Sciences - Papers: Part A
Probabilistic methods have been proven to be effective for robotic path planning in a geometrically complex environment. In this paper, we propose a novel approach, which utilizes a specialized roadmap expansion phase, to improve lazy probabilistic path planning. This expansion phase analyses roadmap connectivity information to bias sampling towards objects in the workspace that have not yet been navigated by the robot. A new method to reduce the number of samples required to navigate narrow passages is also proposed and tested. Experimental results show that the new algorithm is more efficient than the traditional path planning methodologies. It was able …