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Articles 2221 - 2250 of 20237
Full-Text Articles in Entire DC Network
Vireo/Ecnu @ Trecvid 2013: A Video Dance Of Detection, Recounting And Search With Motion Relativity And Concept Learning From Wild, Chong-Wah Ngo, Feng Wang, Wei Zhang, Chun-Chet Tan, Zhanhu Sun, Shi-Ai Zhu, Ting Yao
Vireo/Ecnu @ Trecvid 2013: A Video Dance Of Detection, Recounting And Search With Motion Relativity And Concept Learning From Wild, Chong-Wah Ngo, Feng Wang, Wei Zhang, Chun-Chet Tan, Zhanhu Sun, Shi-Ai Zhu, Ting Yao
Research Collection School Of Computing and Information Systems
The VIREO group participated in four tasks: instance search, multimedia event recounting, multimedia event detection, and semantic indexing. In this paper, we will present our approaches and discuss the evaluation results
Multimedia Modeling, Chong-Wah Ngo, Klaus Schoeffmann, Yiannis Andreopoulos, Christian Breiteneder
Multimedia Modeling, Chong-Wah Ngo, Klaus Schoeffmann, Yiannis Andreopoulos, Christian Breiteneder
Research Collection School Of Computing and Information Systems
Multimedia modeling aims to study computational models for addressing real-world multimedia problems from various perspectives, including information fusion, perceptual understanding, performance evaluation and social media. The topic becomes increasingly important with the massive amount of data available over the Internet, representing different pieces of information in heterogeneous forms that need to be consolidated before being used for multimedia problems. On the other hand, the advancement in technologies such as mobile and sensing devices drive the needs for revisiting the existing models for not only dealing with audio-visual cues but also incorporating various sensory modalities that have potential in providing cheaper …
Why Do I Retweet It? An Information Propagation Model For Microblogs, Fabio Pezzoni, Jisun An, Andrea Passarella, Jon Crowcroft, Marco Conti
Why Do I Retweet It? An Information Propagation Model For Microblogs, Fabio Pezzoni, Jisun An, Andrea Passarella, Jon Crowcroft, Marco Conti
Research Collection School Of Computing and Information Systems
Microblogging platforms are Web 2.0 services that represent a suitable environment for studying how information is propagated in social networks and how users can become influential. In this work we analyse the impact of the network features and of the users' behaviour on the information diffusion. Our analysis highlights a strong relation between the level of visibility of a message in the flow of information seen by a user and the probability that the user further disseminates the message. In addition, we also highlight the existence of other latent factors that impact on the dissemination probability, correlated with the properties …
Electroweak Measurements In Electron-Positron Collisions At W-Boson-Pair Energies At Lep, S. Schael, Manoj Thulasidas
Electroweak Measurements In Electron-Positron Collisions At W-Boson-Pair Energies At Lep, S. Schael, Manoj Thulasidas
Research Collection School Of Computing and Information Systems
Electroweak measurements performed with data taken at the electron–positron collider LEP at CERN from 1995 to 2000 are reported. The combined data set considered in this report corresponds to a total luminosity of about 3 fb −1 collected by the four LEP experiments ALEPH, DELPHI, L3 and OPAL, at centre-of-mass energies ranging from 130 GeV to 209 GeV. Combining the published results of the four LEP experiments, the measurements include total and differential cross-sections in photon-pair, fermion-pair and four-fermion production, the latter resulting from both double-resonant WW and ZZ production as well as singly resonant production. Total and differential cross-sections …
A Scalable Approach For Malware Detection Through Bounded Feature Space Behavior Modeling, Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C Briand, Lwin Khin Shar, Bindu Madhavi Padmanabhuni
A Scalable Approach For Malware Detection Through Bounded Feature Space Behavior Modeling, Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C Briand, Lwin Khin Shar, Bindu Madhavi Padmanabhuni
Research Collection School Of Computing and Information Systems
In recent years, malware (malicious software) has greatly evolved and has become very sophisticated. The evolution of malware makes it difficult to detect using traditional signature-based malware detectors. Thus, researchers have proposed various behavior-based malware detection techniques to mitigate this problem. However, there are still serious shortcomings, related to scalability and computational complexity, in existing malware behavior modeling techniques. This raises questions about the practical applicability of these techniques. This paper proposes and evaluates a bounded feature space behavior modeling (BOFM) framework for scalable malware detection. BOFM models the interactions between software (which can be malware or benign) and security-critical …
Social-Loc: Improving Indoor Localization With Social Sensing, Jung-Hyun Jun, Yu Gu, Long Cheng, Banghui Lu, Jun Sun, Ting Zhu, Jianwei Niu
Social-Loc: Improving Indoor Localization With Social Sensing, Jung-Hyun Jun, Yu Gu, Long Cheng, Banghui Lu, Jun Sun, Ting Zhu, Jianwei Niu
Research Collection School Of Computing and Information Systems
Location-based services, such as targeted advertisement, geo-social networking and emergency services, are becoming increasingly popular for mobile applications. While GPS provides accurate outdoor locations, accurate indoor localization schemes still require either additional infrastructure support (e.g., ranging devices) or extensive training before system deployment (e.g., WiFi signal fingerprinting). In order to help existing localization systems to overcome their limitations or to further improve their accuracy, we propose Social-Loc, a middleware that takes the potential locations for individual users, which is estimated by any underlying indoor localization system as input and exploits both social encounter and non-encounter events to cooperatively calibrate the …
A Social Network-Empowered Research Analytics Framework For Project Selection, Thushari Silva, Zhiling Guo, Jian Ma, Hongbing Jiang, Huaping Chen
A Social Network-Empowered Research Analytics Framework For Project Selection, Thushari Silva, Zhiling Guo, Jian Ma, Hongbing Jiang, Huaping Chen
Research Collection School Of Computing and Information Systems
Traditional approaches for research project selection by government funding agencies mainly focus on the matching of research relevance by keywords or disciplines. Other research relevant information such as social connections (e.g., collaboration and co-authorship) and productivity (e.g., quality, quantity, and citations of published journal articles) of researchers is largely ignored. To overcome these limitations, this paper proposes a social network-empowered research analytics framework (RAF) for research project selections. Scholarmate.com, a professional research social network with easy access to research relevant information, serves as a platform to build researcher profiles from three dimensions, i.e., relevance, productivity and connectivity. Building upon profiles …
Social Sensing For Urban Crisis Management: The Case Of Singapore Haze, Philips Kokoh Prasetyo, Ming Gao, Ee Peng Lim, Christie N. Scollon
Social Sensing For Urban Crisis Management: The Case Of Singapore Haze, Philips Kokoh Prasetyo, Ming Gao, Ee Peng Lim, Christie N. Scollon
Research Collection School Of Computing and Information Systems
Sensing social media for trends and events has become possible as increasing number of users rely on social media to share information. In the event of a major disaster or social event, one can therefore study the event quickly by gathering and analyzing social media data. One can also design appropriate responses such as allocating resources to the affected areas, sharing event related information, and managing public anxiety. Past research on social event studies using social media often focused on one type of data analysis (e.g., hashtag clusters, diffusion of events, influential users, etc.) on a single social media data …
Information Vs Interaction: An Alternative User Ranking Model For Social Networks, Wei Xie, Ai Phuong Hoang, Feida Zhu, Ee Peng Lim
Information Vs Interaction: An Alternative User Ranking Model For Social Networks, Wei Xie, Ai Phuong Hoang, Feida Zhu, Ee Peng Lim
Research Collection School Of Computing and Information Systems
The recent years have seen an unprecedented boom of social network services, such as Twitter, which boasts over 200 million users. In such big social platforms, the influential users are ideal targets for viral marketing to potentially reach an audience of maximal size. Most proposed algorithms rely on the linkage structure of the respective underlying network to determine the information flow and hence indicate a users influence. From social interaction perspective, we built a model based on the dynamic user interactions constantly taking place on top of these linkage structures. In particular, in the Twitter setting we supposed a principle …
Got Issues? Who Cares About It? A Large Scale Investigation Of Issue Trackers From Github, Tegawende F. Bissyande, David Lo, Lingxiao Jiang, Laurent Reveillere, Jacques Klein, Yves Le Traon
Got Issues? Who Cares About It? A Large Scale Investigation Of Issue Trackers From Github, Tegawende F. Bissyande, David Lo, Lingxiao Jiang, Laurent Reveillere, Jacques Klein, Yves Le Traon
Research Collection School Of Computing and Information Systems
Feedback from software users constitutes a vital part in the evolution of software projects. By filing issue reports, users help identify and fix bugs, document software code, and enhance the software via feature requests. Many studies have explored issue reports, proposed approaches to enable the submission of higher-quality reports, and presented techniques to sort, categorize and leverage issues for software engineering needs. Who, however, cares about filing issues? What kind of issues are reported in issue trackers? What kind of correlation exist between issue reporting and the success of software projects? In this study, we address the need for answering …
Challenges And Opportunities In Taxi Fleet Anomaly Detection, Rijurekha Sen, Rajesh Krishna Balan
Challenges And Opportunities In Taxi Fleet Anomaly Detection, Rijurekha Sen, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
To enhance fleet operation and management, logistics companies instrument their vehicles with GPS receivers and network connectivity to servers. Mobility traces from such large fleets provide significant information on commuter travel patterns, traffic congestion and road anomalies, and hence several researchers have mined such datasets to gain useful urban insights. These logistics companies, however, incur significant cost in deploying and maintaining their vast network of instrumented vehicles. Thus research problems, that are not only of interest to urban planners, but to the logistics companies themselves are important to attract and engage these companies for collaborative data analysis. In this paper, …
Efficient Lossy Trapdoor Functions Based On Subgroup Membership Assumptions, Haiyang Xue, Bao Li, Xianhui Lu, Dingding Jia, Yamin Liu
Efficient Lossy Trapdoor Functions Based On Subgroup Membership Assumptions, Haiyang Xue, Bao Li, Xianhui Lu, Dingding Jia, Yamin Liu
Research Collection School Of Computing and Information Systems
We propose a generic construction of lossy trapdoor function from the subgroup membership assumption. We present three concrete constructions based on the k-DCR assumption over Z∗ N2 , the extended psubgroup assumption over Z∗ N2 , and the decisional RSA subgroup membership assumption over Z∗ N . Our constructions are more efficient than the previous construction from the DCR assumption over Z∗ Ns (s ≥ 3).
Nonlinear Energy Harvesting Under White Noise, Qifan He
Nonlinear Energy Harvesting Under White Noise, Qifan He
All Theses
While purposeful introduction of stiffness nonlinearities into the dynamics of energy harvesters is aimed at enhancing performance under non-stationary and random excitations, most of the conclusions reported in the current literature are based on the steady-state response which assumes a harmonic fixed-frequency excitation. As a result, we still do not have a clear understanding of how the nature of the excitation influences the output power, or what role stiffness nonlinearities play in the transduction of energy harvesters under random excitations. To fill this gap in the current knowledge, this thesis investigates the response of nonlinear mono- and bi-stable energy harvesters …
Innovationspotenzialanalyse Für Die Neuen Technologien Für Das Verwalten Und Analysieren Von Großen Datenmengen (Big Data Management), Volker Markl, Alexander Löser, Thomas Hoeren, Helmut Krcmar, Holmer Hemsen, Michael Schermann, Matthias Gottlieb, Christoph Buchmüller, Philip Uecker, Till Bitter
Innovationspotenzialanalyse Für Die Neuen Technologien Für Das Verwalten Und Analysieren Von Großen Datenmengen (Big Data Management), Volker Markl, Alexander Löser, Thomas Hoeren, Helmut Krcmar, Holmer Hemsen, Michael Schermann, Matthias Gottlieb, Christoph Buchmüller, Philip Uecker, Till Bitter
Faculty Book Gallery
Durch die Digitalisierung von Wirtschaft und Gesellschaft ist ein rasantes Anwachsen von Datenbeständen zu beobachten. In fast allen Unternehmenssowie Wissenschaftsbereichen werden bereits heute schon Unmengen an Daten erzeugt, deren Größe, Erfassungsgeschwindigkeit oder Heterogenität die Fähigkeiten gängiger Datenbanksoftwareprodukte zur Verwaltung und zur Analyse übersteigt. Dieses Phänomen, welches unter dem Schlagwort „Big Data“ popularisiert wurde, stellt eine große Chance für Unternehmen, Wissenschaft und Gesellschaft dar. Allerdings ergibt sich aufgrund der neuen Komplexität der Daten und Analysen eine Vielzahl an Herausforderungen technischer, wirtschaftlicher und rechtlicher Natur. Diese Studie analysiert die Chancen und Herausforderungen von Big Data insbesondere im Hinblick auf eine nachhaltige Wettbewerbsfä- …
Examining The Relationships Between Secondary General Education Teachers' Attitudes Toward Inclusion, Professional Development, And Support From Special Education Personnel, Lynn Wogamon
Doctoral Dissertations and Projects
This correlational research study examined the relationships between secondary general education teachers' attitudes toward inclusion, hours of professional development in topics related to special education and hours of support from special education personnel addressing the needs of students with disabilities received weekly. The research also investigated whether this information could be used to predict secondary general education teachers' attitudes towards inclusion. General education teachers in six South Carolina high schools completed the Scale of Teacher Attitudes Toward Inclusive Classrooms (STATIC) and a demographic survey that asked about hours of professional development in special education topics and hours of support received …
The Effects Of Teacher Preparation Programs On Novice Teachers Regarding Classroom Management, Academic Preparation, Time Management, And Self Efficacy, Dolores Carr
Doctoral Dissertations and Projects
This study examines the national concern regarding types of teacher preparation programs (traditional, alternative) and their effects on classroom management, academic preparation, time management, and self-efficacy of novice teachers. What are the decisions and influences that determine highly qualified teachers; can these traits be learned? Does the type of training a teacher receives determine his/her effectiveness? Who determines the standards for teacher preparation programs? What are the challenges facing teacher preparation programs? Who will be responsible for reform and improvement? A review of literature provides direction in answering these questions. The findings uncovered that the type of teacher preparation programs, …
Messenger : Volume 9, Issue 1 : November 2013
Messenger : Volume 9, Issue 1 : November 2013
Staff Sentate Messenger Newsletter
No abstract provided.
Engineering-Based Problem Solving In The Middle School: Design And Construction With Simple Machines, Lyn D. English, Peter Hudson, Les Dawes
Engineering-Based Problem Solving In The Middle School: Design And Construction With Simple Machines, Lyn D. English, Peter Hudson, Les Dawes
Journal of Pre-College Engineering Education Research (J-PEER)
Incorporating engineering concepts into middle school curriculum is seen as an effective way to improve students’ problem-solving skills. A selection of findings is reported from a STEM-based unit in which students in the second year (grade 8) of a three-year longitudinal study explored engineering concepts and principles pertaining to the functioning of simple machines. The culminating activity, the focus of this paper, required the students to design, construct, test, and evaluate a trebuchet catapult. We consider findings from one of the schools, a co-educational college, where we traced the design process developments of four student groups from two classes. The …
The Humanistic Side Of Engineering: Considering Social Science And Humanities Dimensions Of Engineering In Education And Research, Morgan Hynes, Jessica Swenson
The Humanistic Side Of Engineering: Considering Social Science And Humanities Dimensions Of Engineering In Education And Research, Morgan Hynes, Jessica Swenson
Journal of Pre-College Engineering Education Research (J-PEER)
Mathematics and science knowledge/skills are most commonly associated with engineering’s pre-requisite knowledge. Our goals in this paper are to argue for a more systematic inclusion of social science and humanities knowledge in the introduction of engineering to K-12 students. As part of this argument, we present a construct for framing the humanistic side of engineering with illustrative examples of what appealing to the humanistic side of engineering can look like in a classroom setting, and opportunities for research that examines the dynamics the humanistic side of engineering introduces into engineering learning and teaching. The illustrative examples are drawn from interactions …
Determining The Effects Of Pre-College Stem Contexts On Stem Major Choices In 4-Year Postsecondary Institutions Using Multilevel Structural Equation Modeling, Ahlam Lee
Journal of Pre-College Engineering Education Research (J-PEER)
Many STEM studies have focused on traditional learning contexts, such as math- and science-related learning factors, as pre-college learning predictors for STEM major choices in colleges. Few studies have considered a progressive learning activity embedded within STEM contexts. This study chose computer-based learning activities in K-12 math classrooms, as a major pre-college learning predictor for STEM major choices. Using a nationally represented sample drawn from the Educational Longitudinal Study of 2002/06, the purpose of this study was two-fold: (a) to investigate the influence of computer-based learning activities in math classrooms on STEM major choices in 4-year postsecondary institutions and (b) …
Secondary Students' Conceptual Understanding Of Engineering As A Field, Devlin B. Montfort, Shane Brown, Victoria Whritenour
Secondary Students' Conceptual Understanding Of Engineering As A Field, Devlin B. Montfort, Shane Brown, Victoria Whritenour
Journal of Pre-College Engineering Education Research (J-PEER)
Researchers have long been interested in how to recruit and retain more and more diverse students into engineering programs. One consistent challenge in this research is understanding the impacts of interventions from the point of view of the student, and how their preconceptions may influence that effectiveness. This study investigated how secondary students understand the concept of engineering, including what engineering is and what engineers do. The purpose of this work was to describe students’ conceptions of engineering, and to determine how those perceptions relate to student interest in engineering careers. The investigation was founded on the theoretical framework of …
Look At All The Flowers: Editors' Introduction
Look At All The Flowers: Editors' Introduction
Claritas: Journal of Dialogue and Culture
Pope Francis presented the following reflection in his homily on July 25, 2013 at the World Youth Day in Rio de Janeiro: “With him [Christ], our life is transformed and renewed, and we can see reality with new eyes, from Jesus’ standpoint, with his own eyes (cf. Lumen Fidei, 18).” In her meditation, “Look at All the Flowers,” Chiara Lubich says that “to look at all the flowers is to have Jesus’ vision.” She presents a short yet deep and mystical reflection on her own experience of seeing reality with “Jesus’ vision.” In this meditation, she also presents the collective …
Lanthorn, Vol. 48, No. 21, October 31, 2013, Grand Valley State University
Lanthorn, Vol. 48, No. 21, October 31, 2013, Grand Valley State University
Volume 48, July 1, 2013 - June 2, 2014
Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present.
The Fierce Green Fire: Vol. 4 Issue 9, Wofford College Environmental Studies Program
The Fierce Green Fire: Vol. 4 Issue 9, Wofford College Environmental Studies Program
The Fierce Green Fire
No abstract provided.
The Santa Clara, 2013-10-31, Santa Clara University
The Santa Clara, 2013-10-31, Santa Clara University
The Santa Clara
No abstract provided.
Western News, Oct. 31, 2013, Western Michigan University
Western News, Oct. 31, 2013, Western Michigan University
Western News (1972-2018)
Story highlights: Researchers leading $1.4 million project; Donations sought to conserve East Hall’s two wings; More than 50 longtime employees to be inducted into 25 Year Club this year; On Campus with Shawn Tenney.
Mathematical Engineering And Control With Applications, Mamdouh M. El Kady, Martin Bohner, J. Liang, Mouffak Benchohra
Mathematical Engineering And Control With Applications, Mamdouh M. El Kady, Martin Bohner, J. Liang, Mouffak Benchohra
Mathematics and Statistics Faculty Research & Creative Works
No abstract provided.
Keith Kull V. Kutztown University Of Pennsyl
Keith Kull V. Kutztown University Of Pennsyl
2013 Decisions
USDC for the Eastern District of Pennsylvania
October 31, 2013, James Madison University
October 31, 2013, James Madison University
The Breeze, 2010-2019
The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.
As Strong As The Weakest Link: Mining Diverse Cliques In Weighted Graphs, Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, Ambuj K. Singh
As Strong As The Weakest Link: Mining Diverse Cliques In Weighted Graphs, Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, Ambuj K. Singh
Statistical and Data Sciences: Faculty Publications
Mining for cliques in networks provides an essential tool for the discovery of strong associations among entities. Applications vary, from extracting core subgroups in team performance data arising in sports, entertainment, research and business; to the discovery of functional complexes in high-throughput gene interaction data. A challenge in all of these scenarios is the large size of real-world networks and the computational complexity associated with clique enumeration. Furthermore, when mining for multiple cliques within the same network, the results need to be diversified in order to extract meaningful information that is both comprehensive and representative of the whole dataset. We …