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Cultivating Third Party Development In Platform-Centric Software Ecosystems: Extended Boundary Resources Model, Brown C. Msiska 2018 University of Oslo, Department of Informatics; University of Malawi, Department of Computer Science

Cultivating Third Party Development In Platform-Centric Software Ecosystems: Extended Boundary Resources Model, Brown C. Msiska

The African Journal of Information Systems

Software ecosystems provide an effective way through which software solutions can be constructed by composing software components, typically applications, developed by internal and external developers on top of a software platform. Third party development increases the potential of a software ecosystem to effectively and quickly respond to context-specific software requirements. The boundary resources model gives a theoretical account for cultivation of third party development premised on the role of platform boundary resources such as application programming interfaces (API). However, from a longitudinal case study of the DHIS2 software ecosystem, this paper observes that no matter how good the boundary resources ...


Programming For The Web: From Soup To Nuts: Implementing A Complete Gis Web Page Using Html5, Css, Javascript, Node.Js, Mongodb, And Open Layers., Charles W. Kann III 2018 None

Programming For The Web: From Soup To Nuts: Implementing A Complete Gis Web Page Using Html5, Css, Javascript, Node.Js, Mongodb, And Open Layers., Charles W. Kann Iii

Gettysburg College Open Educational Resources

This book is designed to be used as a class text but should be easily accessible to programmers interested in Web Programming. It should even be accessible to an advanced hobbyist.

The original goal behind this text was to help students doing research with me in Web based mapping applications, generally using Open Layers. The idea was to provide persistent storage using REST and simple http request from JavaScript to store the data on a server.

When teaching this class, I became painfully aware of just how little students know about Web Programming. They did not know how to format ...


Colenda @ The University Of Pennsylvania: Using A Decoupled, Pluggable Architecture For Object Processing, Kate Lynch 2018 University of Pennsylvania

Colenda @ The University Of Pennsylvania: Using A Decoupled, Pluggable Architecture For Object Processing, Kate Lynch

Scholarship at Penn Libraries

This poster details the architecture of the repository and the deliverables of the first major release of Colenda, the open-source repository software developed at Penn Libraries. Staff in Digital Library Development & Systems created Colenda, a long-term preservation ecosystem including Samvera, an open-source software framework for repository development, at its core. Colenda is a Samvera instance that provides materials-agnostic fuThis poster details the architecture of the repository and the deliverables of the first major release of Colenda, the open-source repository software developed at Penn Libraries. Staff in Digital Library Development & Systems created Colenda, a long-term preservation ecosystem including Samvera, an open-source ...


Design, Construction And Load Testing Of The Bridge On Arnault Branch, Washington County, Missouri Using Innovative Technologies, Dongming Yan, Genda Chen, Nestore Galati, Sahra Sedigh 2018 Missouri University of Science and Technology

Design, Construction And Load Testing Of The Bridge On Arnault Branch, Washington County, Missouri Using Innovative Technologies, Dongming Yan, Genda Chen, Nestore Galati, Sahra Sedigh

Genda Chen

The superstructure and instrumentation designs of a three-span bridge are presented in this report. The three spans include a precast box-girder bridge, a precast deck on steel girder and a precast deck on concrete girder. They were designed to compare the performance of various bridge decks reinforced with fiber reinforced polymers (FRP) through field instrumentations. A wireless monitoring system was designed to facilitate the collection of field data after the completion of bridge construction. The collected data will allow the study of FRP bars and stay-in-place FRP grid systems.


Design, Construction And Load Testing Of The Pat Daly Road Bridge In Washington County, Mo, With Internal Glass Fiber Reinforced Polymers Reinforcement, Zhibin Lin, Mostafa Fakharifar, Chenglin Bob Wu, Genda Chen, Wesley James Bevans, Arun Vijay Kumar Gunasekaran, Sahra Sedigh 2018 Missouri University of Science and Technology

Design, Construction And Load Testing Of The Pat Daly Road Bridge In Washington County, Mo, With Internal Glass Fiber Reinforced Polymers Reinforcement, Zhibin Lin, Mostafa Fakharifar, Chenglin Bob Wu, Genda Chen, Wesley James Bevans, Arun Vijay Kumar Gunasekaran, Sahra Sedigh

Genda Chen

The overarching goal of this project is to deploy and assess an innovative corrosion-free bridge construction technology for long-term performance of new and existing bridges. The research objective of this project is to conduct a comprehensive study (instrumentation, construction, both laboratory and field evaluation) of a rapidly constructed and durable, three-span bridge with cast-in-place cladding steel reinforced concrete substructure and precast concrete decks/girders reinforced with glass fiber reinforced polymers (GFRP). The bridge has one conventional concrete-girder span, one conventional steel-girder span, and one innovative concrete box-girder span. The conventional concrete and steel girders were used to demonstrate the effective ...


Toward Audio Beehive Monitoring: Deep Learning Vs. Standard Machine Learning In Classifying Beehive Audio Samples, Vladimir Kulyukin, Sarbajit Mukherjee, Prakhar Amlathe 2018 Utah State University

Toward Audio Beehive Monitoring: Deep Learning Vs. Standard Machine Learning In Classifying Beehive Audio Samples, Vladimir Kulyukin, Sarbajit Mukherjee, Prakhar Amlathe

Computer Science Faculty and Staff Publications

Electronic beehive monitoring extracts critical information on colony behavior and phenology without invasive beehive inspections and transportation costs. As an integral component of electronic beehive monitoring, audio beehive monitoring has the potential to automate the identification of various stressors for honeybee colonies from beehive audio samples. In this investigation, we designed several convolutional neural networks and compared their performance with four standard machine learning methods (logistic regression, k-nearest neighbors, support vector machines, and random forests) in classifying audio samples from microphones deployed above landing pads of Langstroth beehives. On a dataset of 10,260 audio samples where the training and ...


Reliable Delay Based Algorithm To Boost Puf Security Against Modeling Attacks, Fathi Amsaad, Mohammaed Niamat, Amer Dawoud, Selcuk Kose 2018 University of Southern Mississippi

Reliable Delay Based Algorithm To Boost Puf Security Against Modeling Attacks, Fathi Amsaad, Mohammaed Niamat, Amer Dawoud, Selcuk Kose

Faculty Publications

Silicon Physical Unclonable Functions (sPUFs) are one of the security primitives and state-of-the-art topics in hardware-oriented security and trust research. This paper presents an efficient and dynamic ring oscillator PUFs (d-ROPUFs) technique to improve sPUFs security against modeling attacks. In addition to enhancing the Entropy of weak ROPUF design, experimental results show that the proposed d-ROPUF technique allows the generation of larger and updated challenge-response pairs (CRP space) compared with simple ROPUF. Additionally, an innovative hardware-oriented security algorithm, namely, the Optimal Time Delay Algorithm (OTDA), is proposed. It is demonstrated that the OTDA algorithm significantly improves PUF reliability under varying ...


Domain-Specific Knowledge Exploration With Ontology Hierarchical Re-Ranking And Adaptive Learning And Extension, Grace G. Zhao 2018 The Graduate Center, City University of New York

Domain-Specific Knowledge Exploration With Ontology Hierarchical Re-Ranking And Adaptive Learning And Extension, Grace G. Zhao

All Dissertations, Theses, and Capstone Projects

The goal of this research project is the realization of an artificial intelligence-driven lightweight domain knowledge search framework that returns a domain knowledge structure upon request with highly relevant web resources via a set of domain-centric re-ranking algorithms and adaptive ontology learning models. The re-ranking algorithm, a necessary mechanism to counter-play the heterogeneity and unstructured nature of web data, uses augmented queries and a hierarchical taxonomic structure to get further insight into the initial search results obtained from credited generic search engines. A semantic weight scale is applied to each node in the ontology graph and in turn generates a ...


Rationality And Efficient Verifiable Computation, Matteo Campanelli 2018 The Graduate Center, City University of New York

Rationality And Efficient Verifiable Computation, Matteo Campanelli

All Dissertations, Theses, and Capstone Projects

In this thesis, we study protocols for delegating computation in a model where one of the parties is rational. In our model, a delegator outsources the computation of a function f on input x to a worker, who receives a (possibly monetary) reward. Our goal is to design very efficient delegation schemes where a worker is economically incentivized to provide the correct result f(x). In this work we strive for not relying on cryptographic assumptions, in particular our results do not require the existence of one-way functions.

We provide several results within the framework of rational proofs introduced by ...


Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo 2018 The Graduate Center, City University of New York

Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo

All Dissertations, Theses, and Capstone Projects

We explore low-cost solutions for efficiently improving the 3D pose estimation problem of a single camera moving in an unfamiliar environment. The visual odometry (VO) task -- as it is called when using computer vision to estimate egomotion -- is of particular interest to mobile robots as well as humans with visual impairments. The payload capacity of small robots like micro-aerial vehicles (drones) requires the use of portable perception equipment, which is constrained by size, weight, energy consumption, and processing power. Using a single camera as the passive sensor for the VO task satisfies these requirements, and it motivates the proposed solutions ...


Androparse - An Android Feature Extraction Framework & Dataset, Robert Schmicker, Frank Breitinger, Ibrahim Baggili 2018 University of New Haven

Androparse - An Android Feature Extraction Framework & Dataset, Robert Schmicker, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

Android malware has become a major challenge. As a consequence, practitioners and researchers spend a significant time analyzing Android applications (APK). A common procedure (especially for data scientists) is to extract features such as permissions, APIs or strings which can then be analyzed. Current state of the art tools have three major issues: (1) a single tool cannot extract all the significant features used by scientists and practitioners (2) Current tools are not designed to be extensible and (3) Existing parsers do not have runtime efficiency. Therefore, this work presents AndroParse which is an open-source Android parser written in Golang ...


Cover, 2018 Embry-Riddle Aeronautical University

Cover

Journal of Digital Forensics, Security and Law

No abstract provided.


Masthead, 2018 Embry-Riddle Aeronautical University

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.


Table Of Contents, 2018 Embry-Riddle Aeronautical University

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.


Publication Information, 2018 Embry-Riddle Aeronautical University

Publication Information

Journal of Digital Forensics, Security and Law

No abstract provided.


Back Matter, 2018 Embry-Riddle Aeronautical University

Back Matter

Journal of Digital Forensics, Security and Law

No abstract provided.


Digital Forensics In The Next Five Years, Laoise Luciano, Ibrahim Baggili, Mateusz Topor, Peter Casey, Frank Breitinger 2018 University of New Haven

Digital Forensics In The Next Five Years, Laoise Luciano, Ibrahim Baggili, Mateusz Topor, Peter Casey, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

Cyber forensics has encountered major obstacles over the last decade and is at a crossroads. This paper presents data that was obtained during the National Workshop on Redefining Cyber Forensics (NWRCF) on May 23-24, 2017 supported by the National Science Foundation and organized by the University of New Haven. Qualitative and quantitative data were analyzed from twenty-four cyber forensics expert panel members. This work identified important themes that need to be addressed by the community, focusing on (1) where the domain currently is; (2) where it needs to go and; (3) steps needed to improve it. Furthermore, based on the ...


I Know What You Did Last Summer: Your Smart Home Internet Of Things And Your Iphone Forensically Ratting You Out, Gokila Dorai, Shiva Houshmand, Ibrahim Baggili 2018 Florida State University

I Know What You Did Last Summer: Your Smart Home Internet Of Things And Your Iphone Forensically Ratting You Out, Gokila Dorai, Shiva Houshmand, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

The adoption of smart home Internet of Things (IoT) devices continues to grow. What if your devices can snitch on you and let us know where you are at any given point in time? In this work we examined the forensic artifacts produced by Nest devices, and in specific, we examined the logical backup structure of an iPhone used to control a Nest thermostat, Nest Indoor Camera and a Nest Outdoor Camera. We also integrated the Google Home Mini as another method of controlling the studied Smart Home devices. Our work is the primary account for the examination of Nest ...


The Influence Of Conversational Agent Embodiment And Conversational Relevance On Socially Desirable Responding, Ryan M. Schuetzler, Justin Scott Giboney, G. Mark Grimes, Jay F. Nunamaker Jr. 2018 University of Nebraska at Omaha

The Influence Of Conversational Agent Embodiment And Conversational Relevance On Socially Desirable Responding, Ryan M. Schuetzler, Justin Scott Giboney, G. Mark Grimes, Jay F. Nunamaker Jr.

Information Systems and Quantitative Analysis Faculty Publications

Conversational agents (CAs) are becoming an increasingly common component in a wide range of information systems. A great deal of research to date has focused on enhancing traits that make CAs more humanlike. However, few studies have examined the influence such traits have on information disclosure. This research builds on self-disclosure, social desirability, and social presence theories to explain how CA anthropomorphism affects disclosure of personally sensitive information. Taken together, these theories suggest that as CAs become more humanlike, the social desirability of user responses will increase. In this study, we use a laboratory experiment to examine the influence of ...


Lessons Learned From A District-Wide Implementation Of A Computer Science Initiative In The District Of Columbia Public Schools, Kenneth Alonzo Anderson, Legand L. Burge III, Troy J. Shine, Marlon Mejias, Ketly Jean-Pierre 2018 Howard University

Lessons Learned From A District-Wide Implementation Of A Computer Science Initiative In The District Of Columbia Public Schools, Kenneth Alonzo Anderson, Legand L. Burge Iii, Troy J. Shine, Marlon Mejias, Ketly Jean-Pierre

Journal of Computer Science Integration

In this article, we use evidence to describe seven key lessons from a four-year district-wide computer science implementation project between Howard University and the District of Columbia Public Schools. These lessons are: (a) Get to know the school counselors (and other key personnel); (b) Expect personnel changes and strategic reorganization within school districts; (c) Be innovative to build and maintain community; (d) Be flexible when developing instruments and curricula; (e) Maintain a firm commitment to equity; (f) Develop tiered content and prepare to make philosophical adjustments; and (g) Identify markers of sustainability. We also include original curricula materials including the ...


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