Processing Conservation Indicators With Open Source Tools: Lessons Learned From The Digital Observatory For Protected Areas, 2017 European Commission, Joint Research Centre (JRC), Directorate D: Sustainable Resources, Knowledge for Sustainable Development and Food Security, Via E. Fermi 2749, I-21027 Ispra (VA), Italy
Processing Conservation Indicators With Open Source Tools: Lessons Learned From The Digital Observatory For Protected Areas, Lucy Bastin, Andrea Mandrici, Luca Battistella, Grégoire Dubois
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
The European Commission has a commitment to open data and the support of open source software and standards. We present lessons learnt while populating and supporting the web and map services that underly the Joint Research Centre's Digital Observatory for Protected Areas. Challenges include: large datasets with highly complex geometries; topological inconsistencies, compounded by reprojection for equal-area calculations; multiple different representations of the same geographical entities, for example coastlines; licensing requirement to continuously update indicators to respond to monthly changes in the authoritative data. In order to compute and publish an array of indicators, we used a range of open …
Optimizing Spatiotemporal Analysis Using Multidimensional Indexing With Geowave, 2017 Digital Globe
Optimizing Spatiotemporal Analysis Using Multidimensional Indexing With Geowave, Richard Fecher, Michael A. Whitby
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
The open source software GeoWave bridges the gap between geographic information systems and distributed computing. This is done by preserving locality of multidimensional data when indexing it into a single-dimensional key-value store, using space filling curves. This means that like values in each dimension are stored physically close together in the datastore. We demonstrate the efficiencies and benefits of the GeoWave indexing algorithm to store and query billions of spatiotemporal data points. We show how this indexing strategy can be used to reduce query and processing times by multiple orders of magnitude using publicly available taxi trip data published by …
Development Of An Extension Of Geoserver For Handling 3d Spatial Data, 2017 Pusan National University
Development Of An Extension Of Geoserver For Handling 3d Spatial Data, Hyung-Gyu Ryoo, Soojin Kim, Joon-Seok Kim, Ki-Joune Li
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
Recently, several open source software tools such as CesiumJS and iTowns have been developed for dealing with 3-dimensional spatial data. These tools mainly focus on visualization of 3D spatial data based on WebGL. An open-sourced server capable of storing, sharing and querying 3D spatial data has not yet been developed. GeoServer, one of the representative open source spatial data servers, provides many powerful features. In particular, it supports connecting to and publishing spatial data from a variety of data sources. GeoServer also supports Web Feature Service (WFS), which is a standard protocol established by the Open Geospatial Consortium to request …
Modeling And Reasoning With Changing Intentions: An Experiment, 2017 University of Toronto
Modeling And Reasoning With Changing Intentions: An Experiment, Alicia M. Grubb, Marsha Chechik
Computer Science: Faculty Publications
Existing modeling approaches in requirements engineering assume that stakeholder goals are static: Once set, they remain the same throughout the lifecycle of the project. Of course, such goals, like anything else, may change over time. In earlier work, we introduced Evolving Intentions: An approach that allows stakeholders to specify how evaluations of goal model elements change over time. Simulation over Evolving Intentions enables stakeholders to ask a variety of 'what if' questions, and evaluate possible evolutions of a goal model. GrowingLeaf is a web-based tool that implements both the modeling and analysis components of this approach. In this paper, we …
Improvement Of Phylogenetic Method To Analyze Compositional Heterogeneity, 2017 University of South Carolina
Improvement Of Phylogenetic Method To Analyze Compositional Heterogeneity, Zehua Zhang, Kecheng Guo, Gaofeng Pan, Jijun Tang, Fei Guo
Faculty Publications
Background: Phylogenetic analysis is a key way to understand current research in the biological processes and detect theory in evolution of natural selection. The evolutionary relationship between species is generally reflected in the form of phylogenetic trees. Many methods for constructing phylogenetic trees, are based on the optimization criteria. We extract the biological data via modeling features, and then compare these characteristics to study the biological evolution between species.
Results: Here, we use maximum likelihood and Bayesian inference method to establish phylogenetic trees; multi-chain Markov chain Monte Carlo sampling method can be used to select optimal phylogenetic tree, resolving local …
Am I Who I Say I Am? Unobtrusive Selfrepresentation And Personality Recognition On Facebook, 2017 University of Nebraska at Omaha
Am I Who I Say I Am? Unobtrusive Selfrepresentation And Personality Recognition On Facebook, Margeret A. Hall, Simon Caton
Interdisciplinary Informatics Faculty Publications
Across social media platforms users (sub)consciously represent themselves in a way which is appropriate for their intended audience. This has unknown impacts on studies with unobtrusive designs based on digital (social) platforms, and studies of contemporary social phenomena in online settings. A lack of appropriate methods to identify, control for, and mitigate the effects of self-representation, the propensity to express socially responding characteristics or self-censorship in digital settings, hinders the ability of researchers to confidently interpret and generalize their findings. This article proposes applying boosted regression modelling to fill this research gap. A case study of paid Amazon Mechanical Turk …
Structural Surface Mapping For Shape Analysis, 2017 Florida International University
Structural Surface Mapping For Shape Analysis, Muhammad Razib
FIU Electronic Theses and Dissertations
Natural surfaces are usually associated with feature graphs, such as the cortical surface with anatomical atlas structure. Such a feature graph subdivides the whole surface into meaningful sub-regions. Existing brain mapping and registration methods did not integrate anatomical atlas structures. As a result, with existing brain mappings, it is difficult to visualize and compare the atlas structures. And also existing brain registration methods can not guarantee the best possible alignment of the cortical regions which can help computing more accurate shape similarity metrics for neurodegenerative disease analysis, e.g., Alzheimer’s disease (AD) classification. Also, not much attention has been paid to …
An Evaluation Of The Effects Of Intensity And Duration On Outcomes Across Treatment Domains For Children With Autism Spectrum Disorder, 2017 Chapman University
An Evaluation Of The Effects Of Intensity And Duration On Outcomes Across Treatment Domains For Children With Autism Spectrum Disorder, Erik J. Linstead, D. R. Dixon, E. Hong, C. O. Burns, Ryan French, M. N. Novack, D. Granpeesheh
Mathematics, Physics, and Computer Science Faculty Articles and Research
Applied behavior analysis (ABA) is considered an effective treatment for individuals with autism spectrum disorder (ASD), and many researchers have further investigated factors associated with treatment outcomes. However, few studies have focused on whether treatment intensity and duration have differential influences on separate skills. The aim of the current study was to investigate how treatment intensity and duration impact learning across different treatment domains, including academic, adaptive, cognitive, executive function, language, motor, play, and social. Separate multiple linear regression analyses were used to evaluate these relationships. Participants included 1468 children with ASD, ages 18 months to 12 years old, M= …
Developing Grounded Goals Through Instant Replay Learning, 2017 Swarthmore College
Developing Grounded Goals Through Instant Replay Learning, Lisa Meeden, Douglas S. Blank
Computer Science Faculty Research and Scholarship
This paper describes and tests a developmental architecture that enables a robot to explore its world, to find and remember interesting states, to associate these states with grounded goal representations, and to generate action sequences so that it can re-visit these states of interest. The model is composed of feed-forward neural networks that learn to make predictions at two levels through a dual mechanism of motor babbling for discovering the interesting goal states and instant replay learning for developing the grounded goal representations. We compare the performance of the model with grounded goal representations versus random goal representations, and find …
Computer Science And Cultural History: A Dialogue, 2017 Loyola University Chicago
Computer Science And Cultural History: A Dialogue, David B. Dennis, George K. Thiruvathukal
History: Faculty Publications and Other Works
No abstract provided.
Designing An Ai That Cares, 2017 Vocational Training Council
Designing An Ai That Cares
SIGNED: The Magazine of The Hong Kong Design Institute
The breakthrough that could change AI from being a plaything to being a playmate with which humans can have meaningful interations may be about to come from a seemingly unlikely source.
3½ Problems For Digital Assistants, 2017 Vocational Training Council
3½ Problems For Digital Assistants
SIGNED: The Magazine of The Hong Kong Design Institute
Digital home assistants promise to make life easier and happier. But a few problems stand in their way
Ai Centaurs, 2017 Vocational Training Council
Ai Centaurs
SIGNED: The Magazine of The Hong Kong Design Institute
As artificial intelligence outstrips human intelligence, AIs can now beat humans at any game. A pessimist might claim that this marks the end of the line for play. But a mythical beast has come to save playtime from the robots.
Initial Experience In Moving Key Academic Department Functions To Social Networking Sites, 2017 Loyola University Chicago
Initial Experience In Moving Key Academic Department Functions To Social Networking Sites, David Dennis, George K. Thiruvathukal, Konstantin Läufer
David B. Dennis
We discuss our initial experience with the transition from conventional technology to social networking sites and other cloud-backed sites for three core business functions of an academic computer science department at a mid-size private university: course management, research collaboration, and community engagement. We first discuss the social/cultural context that informs our technology choices, as well as the evolution of the technology choices themselves. Then, we identify the targeted department functions and their actors. Next, we describe the past and present technical architectures used to support these functions. We conclude with a discussion of our preliminary experience with this transition and …
History Of Computing, 2017 Loyola University Chicago
History Of Computing, George K. Thiruvathukal, David B. Dennis
David B. Dennis
The social and organizational history of humanity is intricately entangled with the history of technology in general and the technology of information in particular. Advances in this area have often been closely involved in social and political transformations. While the contemporary period is often referred to by such names as the Computing and Information Age, this is the culmination of a series of historical transformations that have been centuries in the making. This course will provide a venue for students to learn about history through the evolution of number systems and arithmetic, calculating and computing machines, and advanced communication technology …
Moving Academic Department Functions To Social Networks And Clouds: Initial Experiences, 2017 Loyola University Chicago
Moving Academic Department Functions To Social Networks And Clouds: Initial Experiences, George K. Thiruvathukal, Konstantin Läufer, David Dennis
David B. Dennis
The ability to move locally hosted services to cloud-based technologies is a key element in the scientific programming toolbox.
Architecture-Based Self-Adaptation For Moving Target Defense (Cmu-Isr-14-109), 2017 Carnegie Mellon University
Architecture-Based Self-Adaptation For Moving Target Defense (Cmu-Isr-14-109), Bradley Schmerl, Javier Camara, Gabriel Moreno, David Garlan, Andrew O. Mellinger
Gabriel A. Moreno
The fundamental premise behind Moving Target Defense (MTD) is to create a dynamic and shifting system that is more difficult to attack than a static system because a constantly changing attack surface at least reduces the chance of an attacker finding and exploiting the weakness. However, MTD approaches are typically chosen without regard to other qualities of the system, such as performance or cost. This report explores the use of self-adaptive systems, in particular those based on the architecture of the running system. A systems software architecture can be used to trade off different quality dimensions of the system. In …
A Stochastic Model Of Plausibility In Live-Virtual-Constructive Environments, 2017 Air Force Institute of Technology
A Stochastic Model Of Plausibility In Live-Virtual-Constructive Environments, Jeremy R. Millar
Theses and Dissertations
Distributed live-virtual-constructive simulation promises a number of benefits for the test and evaluation community, including reduced costs, access to simulations of limited availability assets, the ability to conduct large-scale multi-service test events, and recapitalization of existing simulation investments. However, geographically distributed systems are subject to fundamental state consistency limitations that make assessing the data quality of live-virtual-constructive experiments difficult. This research presents a data quality model based on the notion of plausible interaction outcomes. This model explicitly accounts for the lack of absolute state consistency in distributed real-time systems and offers system designers a means of estimating data quality and …
A Tree Locality-Sensitive Hash For Secure Software Testing, 2017 Air Force Institute of Technology
A Tree Locality-Sensitive Hash For Secure Software Testing, Camdon J. Cady
Theses and Dissertations
Bugs in software that make it through testing can cost tens of millions of dollars each year, and in some cases can even result in the loss of human life. In order to eliminate bugs, developers may use symbolic execution to search through possible program states looking for anomalous states. Most of the computational effort to search through these states is spent solving path constraints in order to determine the feasibility of entering each state. State merging can make this search more efficient by combining program states, allowing multiple execution paths to be analyzed at the same time. However, a …
Biologically Inspired Network (Bionet) Authentication Using Logical And Pathological Rf-Dna Credential Pairs, 2017 Air Force Institute of Technology
Biologically Inspired Network (Bionet) Authentication Using Logical And Pathological Rf-Dna Credential Pairs, Tyrone A.L. Lewis Sr.
Theses and Dissertations
The command and control (C2) of shared space resources are vulnerable to logical credential forgery and impersonation attacks among standardized and interoperable wireless radio frequency (RF) networks. Threats could come from trusted operators (insiders) or from external sources (outsiders). An attacker may gain unauthorized network access and illegally cross into C2 boundaries when conventional network authentication fails. This research proposes an integrated trust management system that uses both application-layer and physical-layer trust markers to authenticate users and their communication sources. In essence, the results from physical-layer RF-DNA fingerprinting techniques are used to improve application-level trust schemes based on command patterns, …