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Comparative Study Of Deep Learning Models For Network Intrusion Detection, Brian Lee, Sandhya Amaresh, Clifford Green, Daniel Engels 2018 Southern Methodist University

Comparative Study Of Deep Learning Models For Network Intrusion Detection, Brian Lee, Sandhya Amaresh, Clifford Green, Daniel Engels

SMU Data Science Review

In this paper, we present a comparative evaluation of deep learning approaches to network intrusion detection. A Network Intrusion Detection System (NIDS) is a critical component of every Internet connected system due to likely attacks from both external and internal sources. A NIDS is used to detect network born attacks such as Denial of Service (DoS) attacks, malware replication, and intruders that are operating within the system. Multiple deep learning approaches have been proposed for intrusion detection systems. We evaluate three models, a vanilla deep neural net (DNN), self-taught learning (STL) approach, and Recurrent Neural Network (RNN) based Long Short ...


Comparative Study: Reducing Cost To Manage Accessibility With Existing Data, Claire Chu, Bill Kerneckel, Eric C. Larson, Nathan Mowat, Christopher Woodard 2018 Southern Methodist University

Comparative Study: Reducing Cost To Manage Accessibility With Existing Data, Claire Chu, Bill Kerneckel, Eric C. Larson, Nathan Mowat, Christopher Woodard

SMU Data Science Review

“Project Sidewalk” is an existing research effort that focuses on mapping accessibility issues for handicapped persons to efficiently plan wheelchair and mobile scooter friendly routes around Washington D.C. As supporters of this project, we utilized the data “Project Sidewalk” collected and used it to confirm predictions about where problem sidewalks exist based on real estate and crime data. We present a study that identifies correlations found between accessibility data and crime and housing statistics in the Washington D.C. metropolitan area. We identify the key reasons for increased accessibility and the issues with the current infrastructure management system. After ...


Library Awesome Sauce Undergraduate Research, Jeremy Evert, Phillip Joe Fitzsimmons, Hector Lucas 2018 Southwestern Oklahoma State University

Library Awesome Sauce Undergraduate Research, Jeremy Evert, Phillip Joe Fitzsimmons, Hector Lucas

Faculty Articles & Research

Library Awesome Sauce Undergraduate Research was a presentation at the 2018 CADRE Conference in Stillwater, OK. The presenters discussed their collaboration on a video project to film interviews of students giving progress reports about their software engineering projects. The videos were posted on the institutional repository.

The speakers discussed Student-Led research and the role that academic libraries play in facilitating student and faculty research and publishing for all disciplines on campus.


Strategic Implications Of Blockchain, William R. Adams 2018 BYU Marriott School

Strategic Implications Of Blockchain, William R. Adams

Undergraduate Honors Theses

This thesis introduces blockchain, the underlying technology of cryptocurrencies such as Bitcoin, and discusses how best to conceptualize it relative to other technologies. Following an explanation of the fundamentals of blockchain, also known as the distributed ledger, I identify the characteristics of the technology. Building upon blockchain’s inherent strengths and limitations, I explore potential business applications of blockchain. Finally, I recommend that leaders continue to track the development and adoption of blockchain technology, even if they decide that implementing it does not align with their organization’s strategy at present.


Gradel, Emily R. Wolf, Christopher D. Brauns II, Timothy G. Smith II, Emmett Z. Budd 2018 Cedarville University

Gradel, Emily R. Wolf, Christopher D. Brauns Ii, Timothy G. Smith Ii, Emmett Z. Budd

The Research and Scholarship Symposium

A major problem facing Computer Science faculty members at Cedarville University is grading student assignments. Specifically, grading programming assignments can be a repetitive, time-consuming process which makes it prime for automation. Professors need a web application that takes student code, compiles it, and compares the output to what the professors provides as correct. Gradel, a senior design project, allows students to submit their code online and receive instant feedback based on professor-designed test cases. Furthermore, professors need to be able to keep track of what grades students earn on their projects, which is functionality Gradel provides. In addition to allowing ...


The Computer Modeling Of A Space Habitat: The City College Experience, Orlando McAllister 2018 College of New Rochelle

The Computer Modeling Of A Space Habitat: The City College Experience, Orlando Mcallister

Orlando McAllister

No abstract provided.


The E-Agriculture Research Landscape In South Africa: A Systematic Literature Review, Alain Nzuzi Kintoki 2018 Cape Peninsula University of Technology, Cape Town

The E-Agriculture Research Landscape In South Africa: A Systematic Literature Review, Alain Nzuzi Kintoki

The African Journal of Information Systems

Despite the growing interest in e-agriculture research in South Africa, academic studies have not sufficiently and deeply investigated the current e-agriculture research trends in the South African context. It is unclear how primary e-agriculture research in South Africa will aid both current and future generations to create new and better ways to transform agricultural development using this modern technology. This study sought to determine the current status of e-agriculture research in the South African context. A systematic literature review was used to gather and analyze data. The results indicate that 17 papers (26.5%) were published during the first two ...


The Subject Librarian Newsletter, Engineering And Computer Science, Spring 2018, Buenaventura "Ven" Basco 2018 University of Central Florida

The Subject Librarian Newsletter, Engineering And Computer Science, Spring 2018, Buenaventura "Ven" Basco

Libraries' Newsletters

No abstract provided.


Fly-By-Logic: Control Of Multi-Drone Fleets With Temporal Logic Objectives, Yash Vardhan Pant, Houssam Abbas, Rhudii A. Quaye, Rahul Mangharam 2018 University of Pennsylvania

Fly-By-Logic: Control Of Multi-Drone Fleets With Temporal Logic Objectives, Yash Vardhan Pant, Houssam Abbas, Rhudii A. Quaye, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

The problem of safe planning and control for multi- drone systems across a variety of missions is of critical impor- tance, as the scope of tasks assigned to such systems increases. In this paper, we present an approach to solve this problem for multi-quadrotor missions. Given a mission expressed in Signal Temporal Logic (STL), our controller maximizes robustness to generate trajectories for the quadrotors that satisfy the STL spec- ification in continuous-time. We also show that the constraints on our optimization guarantees that these trajectories can be tracked nearly perfectly by lower level off-the-shelf position and attitude controllers. Our approach ...


Policy-Preferred Paths In As-Level Internet Topology Graphs, Mehmet Engin Tozal 2018 University of Louisiana at Lafayette

Policy-Preferred Paths In As-Level Internet Topology Graphs, Mehmet Engin Tozal

Theory and Applications of Graphs

Using Autonomous System (AS) level Internet topology maps to determine accurate AS-level paths is essential for network diagnostics, performance optimization, security enforcement, business policy management and topology-aware application development. One significant drawback that we have observed in many studies is simplifying the AS-level topology map of the Internet to an undirected graph, and then using the hop distance as a means to find the shortest paths between the ASes. A less significant drawback is restricting the shortest paths to only valley-free paths. Both approaches usually inflate the number of paths between ASes; introduce erroneous paths that do not conform to ...


Keep It Simple, Keep It Safe - Research On The Impacts Of Increasing Complexity Of Modern Enterprise Applications, Shawn Ware, David Phillips 2018 University of Nebraska at Omaha

Keep It Simple, Keep It Safe - Research On The Impacts Of Increasing Complexity Of Modern Enterprise Applications, Shawn Ware, David Phillips

Student Research and Creative Activity Fair

As the Cybersecurity program within UNO continues to adapt to the ever-changing world of information systems and information security, the Cybersecurity Capstone has recently become an active, community-involvement project, where real-world organizations can receive valuable, useful research and information from students on their way towards a degree. This presentation encompasses two such projects from the Cybersecurity Capstone, looking at how modern, more complex systems can often increase system vulnerability.


Quantifying Static And Dynamic Stability Using Mobile Sensors, Mason Schleu 2018 mschleu

Quantifying Static And Dynamic Stability Using Mobile Sensors, Mason Schleu

Student Research and Creative Activity Fair

Quantifying Static and Dynamic Stability Using Mobile Sensors

Balance disorders burden over 35% of Americans, causing substantial impact on quality of life due to psychological and physical hardships associated with poor balance. Balance disorder can affect all individuals, and range in seriousness from slight dizziness to the inability to safely walk from place to place. Elderly adults are most susceptible to the dangers of poor balance, where injuries from falling are a prevalent and grave concern. Balance disorders are often assessed only after the event of a fall or injury, warranting the need for a readily available, at home balance ...


Learning And Control Using Gaussian Processes, Achin Jain, Truong X Nghiem, Manfred Morari, Rahul Mangharam 2018 University of Pennsylvania

Learning And Control Using Gaussian Processes, Achin Jain, Truong X Nghiem, Manfred Morari, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Building physics-based models of complex physical systems like buildings and chemical plants is extremely cost and time prohibitive for applications such as real-time optimal control, production planning and supply chain logistics. Machine learning algorithms can reduce this cost and time complexity, and are, consequently, more scalable for large-scale physical systems. However, there are many practical challenges that must be addressed before employing machine learning for closed-loop control. This paper proposes the use of Gaussian Processes (GP) for learning control-oriented models: (1) We develop methods for the optimal experiment design (OED) of functional tests to learn models of a physical system ...


Collaborative Appearance-Based Place Recognition And Improving Place Recognition Using Detection Of Dynamic Objects, Juan Pablo Munoz 2018 The Graduate Center, City University of New York

Collaborative Appearance-Based Place Recognition And Improving Place Recognition Using Detection Of Dynamic Objects, Juan Pablo Munoz

All Dissertations, Theses, and Capstone Projects

This dissertation makes contributions to the problem of Long-Term Appearance-Based Place Recognition. We present a framework for place recognition in a collaborative scheme and a method to reduce the impact of dynamic objects on place representations. We demonstrate our findings using a state-of-the-art place recognition approach.

We begin in Part I by describing the general problem of place recognition and its importance in applications where accurate localization is crucial. We discuss feature detection and description and also explain the functioning of several place recognition frameworks.

In Part II, we present a novel framework for collaboration between agents from a pure ...


Vision-Based Assistive Indoor Localization, Feng Hu 2018 The Graduate Center, City University of New York

Vision-Based Assistive Indoor Localization, Feng Hu

All Dissertations, Theses, and Capstone Projects

An indoor localization system is of significant importance to the visually impaired in their daily lives by helping them localize themselves and further navigate an indoor environment. In this thesis, a vision-based indoor localization solution is proposed and studied with algorithms and their implementations by maximizing the usage of the visual information surrounding the users for an optimal localization from multiple stages. The contributions of the work include the following: (1) Novel combinations of a daily-used smart phone with a low-cost lens (GoPano) are used to provide an economic, portable, and robust indoor localization service for visually impaired people. (2 ...


Internet Of Underground Things: Sensing And Communications On The Field For Precision Agriculture, Mehmet C. Vuran, Abdul Salam, Rigoberto Wong, Suat Irmak 2018 University of Nebraska-Lincoln

Internet Of Underground Things: Sensing And Communications On The Field For Precision Agriculture, Mehmet C. Vuran, Abdul Salam, Rigoberto Wong, Suat Irmak

CSE Conference and Workshop Papers

The projected increases in World population and need for food have recently motivated adoption of information technology solutions in crop fields within precision agriculture approaches. Internet of underground things (IOUT), which consists of sensors and communication devices, partly or completely buried underground for real-time soil sensing and monitoring, emerge from this need. This new paradigm facilitates seamless integration of underground sensors, machinery, and irrigation systems with the complex social network of growers, agronomists, crop consultants, and advisors. In this paper, state-of-the-art communication architectures are reviewed, and underlying sensing technology and communication mechanisms for IOUT are presented. Recent advances in the ...


A Real-Time Wireless Sweat Rate Measurement System For Physical Activity Monitoring, Andrew Brueck, Tashfin Iftekhar, Alicja B. Stannard, Kumar Yelamarthi, Tolga Kaya 2018 Central Michigan University

A Real-Time Wireless Sweat Rate Measurement System For Physical Activity Monitoring, Andrew Brueck, Tashfin Iftekhar, Alicja B. Stannard, Kumar Yelamarthi, Tolga Kaya

Exercise Science Faculty Publications

There has been significant research on the physiology of sweat in the past decade, with one of the main interests being the development of a real-time hydration monitor that utilizes sweat. The contents of sweat have been known for decades; sweat provides significant information on the physiological condition of the human body. However, it is important to know the sweat rate as well, as sweat rate alters the concentration of the sweat constituents, and ultimately affects the accuracy of hydration detection. Towards this goal, a calorimetric based flow-rate detection system was built and tested to determine sweat rate in real ...


Efficient Alignment Algorithms For Dna Sequencing Data, Nilesh Vinod Khiste 2018 The University of Western Ontario

Efficient Alignment Algorithms For Dna Sequencing Data, Nilesh Vinod Khiste

Electronic Thesis and Dissertation Repository

The DNA Next Generation Sequencing (NGS) technologies produce data at a low cost, enabling their application to many ambitious fields such as cancer research, disease control, personalized medicine etc. However, even after a decade of research, the modern aligners and assemblers are far from providing efficient and error free genome alignments and assemblies respectively. This is due to the inherent nature of the genome alignment and assembly problem, which involves many complexities. Many algorithms to address this problem have been proposed over the years, but there still is a huge scope for improvement in this research space.

Many new genome ...


Moral Authority And Artificial Intelligence, Jacob Souza 2018 Carroll College, Helena, MT

Moral Authority And Artificial Intelligence, Jacob Souza

Power, Voice, Mandate: Moral Authority in the Contemporary Age

This paper looks at the relationship between Artificial intelligence and moral authority. It explores the important concepts related to moral authority, such as power, authority, responsibility, and morality, but also defines what a thinking machine will look like in human society. What the paper determines is that it is difficult to trust machines that do not show emotion, but thinking machines without emotion will still have an important role in society and that when emotional AIs are achievable, they will be able to achieve moral authority.


The Construction Of Open Data Portal Using Dkan For Integrate To Multiple Japanese Local Government Open Data, Toshikazu Seto, Yoshihide Sekimoto 2018 Center for Spatial Information Science, the University of Tokyo

The Construction Of Open Data Portal Using Dkan For Integrate To Multiple Japanese Local Government Open Data, Toshikazu Seto, Yoshihide Sekimoto

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

In recent years, the Code for Japan, a civic tech community in Japan, has focused on the context of the FOSS4G. Consequently, the Japanese have published open data in more than 150 local governments, but these data are almost simply provided as a file on their website. And also CKAN portal are used less than 20 cities. In this study, we built open data platform that uses DKAN for integrated open data distribution of Japanese local governments.


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