Computer Sciences Commons^™

Distance Learning And Attribute Importance Analysis By Linear Regression On Idealized Distance Functions, Rupesh Kumar Singh

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A good distance metric is instrumental on the performance of many tasks including classification and data retrieval. However, designing an optimal distance function is very challenging, especially when the data has high dimensions.Recently, a number of algorithms have been proposed to learn an optimal distance function in a supervised manner, using data with class labels. In this thesis we proposed methods to learn an optimal distance function that can also indicate the importance of attributes. Specifically, we present several ways to define idealized distance functions, two of which involving distance error correction involving KNN classification, and another involving a two-constant …

How Leaders Market And Commercialize Healthcare Technology Innovation, Roxie Mooney, Rocky J. Dwyer Dr.

Walden Faculty and Staff Publications

This study investigates what strategies technology development marketing leaders utilized to commercialize a new product innovation in the healthcare market. Analysis of data generated 3 major themes: strategies implemented during the prelaunch phase, strategies implemented during the pilot customer phase, and strategies implemented in the broader market launch phase of the CoI process. Findings from this study may contribute to maximizing commercial success and the diffusion of new product innovations in healthcare, which might lead to better patient outcomes and enhanced ways of practicing medicine.

Strengthening Cybersecurity Through Research, Singapore Management University

Research@SMU: Connecting the Dots

Tackling cybersecurity risks in mobile computing by Professors Robert Deng and Li Yingjiu.

See their papers:

• Seeing your face is not enough: An inertial sensor-based liveness detection for face authentication
• An efficient privacy-preserving outsourced computation over public data
• Secure encrypted data deduplication with ownership proof and user revocation

A Framework For Forensic Reconstruction Of Spontaneous Ad Hoc Networks, Alastair Nisbet

Australian Digital Forensics Conference

Spontaneous ad hoc networks are distinguished by rapid deployment for a specific purpose, with no forward planning or pre-design in their topology. Often these networks will spring up through necessity whenever a network is required urgently but briefly. This may be in a disaster recovery setting, military uses where often the network is unplanned but the devices are pre-installed with security settings, educational networks or networks created as a one-off for a meeting such as in a business organisation. Generally, wireless networks pose problems for forensic investigators because of the open nature of the medium, but if logging procedures and …

Regulating Religious Robots: Free Exercise And Rfra In The Time Of Superintelligent Artificial Intelligence, Ignatius Michael D. Ingles

Ateneo School of Law Publications

No abstract provided.

Improving The Stealthiness Of Dns-Based Covert Communication, Stephen Sheridan, Anthony Keane

Conference Papers

At present, the recommended stance to take regarding Cyber Security is to assume a state of compromise. With the increase in Bring Your Own Device (BYOD), the Internet of Things (IOT) and Advanced Persistent Threats (ATPs), network boundaries have become porous and difficult to defend from external threats. Modern malware is complex and adept at making its presence hard to detect. Recent studies have shown that some malware variants are capable of using multiple covert communication channels for command and control (C2) and data exfiltration activities. Examples of this level of covert communication can be found in malware that targets …

Participatory Design Research Methodologies: A Case Study In Dancer Sonification, Steven Landry, Myounghoon Jeon

Department of Psychology and Human Factors Publications

Given that embodied interaction is widespread in Human-Computer Interaction, interests on the importance of body movements and emotions are gradually increasing. The present paper describes our process of designing and testing a dancer sonification system using a participatory design research methodology. The end goal of the dancer sonification project is to have dancers generate aesthetically pleasing music in real-time based on their dance gestures, instead of dancing to pre-recorded music. The generated music should reflect both the kinetic activities and affective contents of the dancer’s movement. To accomplish these goals, expert dancers and musicians were recruited as domain experts in …

Beyond Traditional Applications Of Fuzzy Techniques: Main Idea And Case Studies, Vladik Kreinovich, Olga Kosheleva, Thongchai Dumrongpokaphan

Departmental Technical Reports (CS)

Fuzzy logic techniques were originally designed to translate expert knowledge -- which is often formulated by using imprecise ("fuzzy") from natural language (like "small") -- into precise computer-understandable models and control strategies. Such a translation is still the main use of fuzzy techniques. Lately, it turned out that fuzzy methods can help in another class of applied problems: namely, in situations when there are semi-heuristic techniques for solving the corresponding problems, i.e., techniques for which there is no convincing theoretical justification. Because of the lack of a theoretical justification, users are reluctant to use these techniques, since their previous empirical …

Why Decimal System And Binary System Are The Most Widely Used: A Possible Explanation, Gerardo Muela

Departmental Technical Reports (CS)

What is so special about numbers 10 and 2 that decimal and binary systems are the most widely used? One interesting fact about 10 is that when we start with a unit interval and we want to construct an interval of half width, then this width is exactly 5/10; when we want to find a square of half area, its sides are almost exactly 7/10, and when we want to construct a cube of half volume its sides are almost exactly 8/10. In this paper, we show that 2, 4, and 10 are the only numbers with this property -- …

F-Transform As A First Step Towards A General Approach To Data Processing And Data Fusion, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In data fusion, we have several approximations to the desired objects, and we need to fuse them into a single -- more accurate -- approximation. In the traditional approach to data fusion, we usually assume that all the given approximations were obtained by minimizing the same distance function -- most frequently, the Euclidean (L₂) distance. In practice, however, we sometimes need to use approximations corresponding to different distance functions. To handle such situations, a new more general approach to data processing and data fusion is needed. In this paper, we show that the simplest cases of such new …

Why Unexpectedly Positive Experiences Make Decision Makers More Optimistic: An Explanation, Andrzej Pownuk, Vladik Kreinovich

Departmental Technical Reports (CS)

Experiments show that unexpectedly positive experiences make decision makers more optimistic. However, there seems to be no convincing explanation for this experimental fact. In this paper, we show that this experimental phenomenon can be naturally explained within the traditional utility-based decision theory.

Combinatorial Polynomial Hirsch Conjecture, Sam Miller

HMC Senior Theses

The Hirsch Conjecture states that for a d-dimensional polytope with n facets, the diameter of the graph of the polytope is at most n-d. This conjecture was disproven in 2010 by Francisco Santos Leal. However, a polynomial bound in n and d on the diameter of a polytope may still exist. Finding a polynomial bound would provide a worst-case scenario runtime for the Simplex Method of Linear Programming. However working only with polytopes in higher dimensions can prove challenging, so other approaches are welcome. There are many equivalent formulations of the Hirsch Conjecture, one of which is the …

On Barrier Graphs Of Sensor Networks, Kirk Anthony Boyer

Electronic Theses and Dissertations

The study of sensor networks begins with a model, which usually has a geometric component. This thesis focuses on networks of sensors modeled as collections of rays in the plane whose use is to detect intruders, and in particular a graph derived from this geometry, called the barrier graph of the network, which captures information about the network's coverage. Every such ray-barrier sensor network corresponds to a barrier graph, but not every graph is the barrier graph of some network.

We show that any barrier graph is not just tripartite, but perfect. We describe how to find networks which have …

Rfid Adoption In Healthcare Organizations In Uae, Ahed Abugabah

Working papers

Radio frequency identification (RFID) is currently regarded as one of the most promising technologies, and considered as one of the sixteen key technologies in the coming decade, specifically in terms of its use, pervasiveness, market demand and commercial availability. RFID is perceived as critical technology for many purposes and applications, such as improving the efficiency and effectiveness in business operations and improving customer service. This research therefore has a hedonic motivation in developing an incorporated view of theoretical framework to identify factors that affect RFID adoption in healthcare and providing an empirical analysis of the effect of both organizational and …

Urban Road Network Crisis Response Management: Time-Sensitive Decision Optimization, Sinan Salman, Suzan Alaswad

Working papers

With the increasing global stock of vehicles, traffic congestion is becoming more severe and costly in many urban road networks. Road network modeling and optimization are essential tools in predicting traffic flow and reducing network congestion. Markov chains are remarkably capable in modeling complex, dynamic, and large-scale networks; Google’s PageRank algorithm is a living proof. In this article, we leverage Markov chains theory and its powerful statistical analysis tools to model urban road networks and infer road network performance and traffic congestion patterns, and propose an optimization approach that is based on Genetic Algorithm to model network-wide optimization decisions. Such …

Impact Of Reviewer Social Interaction On Online Consumer Review Fraud Detection, Kunal Goswami, Younghee Park, Chungsik Song

Faculty Publications

Background Online consumer reviews have become a baseline for new consumers to try out a business or a new product. The reviews provide a quick look into the application and experience of the business/product and market it to new customers. However, some businesses or reviewers use these reviews to spread fake information about the business/product. The fake information can be used to promote a relatively average product/business or can be used to malign their competition. This activity is known as reviewer fraud or opinion spam. The paper proposes a feature set, capturing the user social interaction behavior to identify fraud. …

Data-Driven Network-Centric Threat Assessment, Dae Wook Kim

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As the Internet has grown increasingly popular as a communication and information sharing platform, it has given rise to two major types of Internet security threats related to two primary entities: end-users and network services. First, information leakages from networks can reveal sensitive information about end-users. Second, end-users systems can be compromised through attacks on network services, such as scanning-and-exploit attacks, spamming, drive-by downloads, and fake anti-virus software. Designing threat assessments to detect these threats is, therefore, of great importance, and a number of the detection systems have been proposed. However, these existing threat assessment systems face significant challenges in …

Kidrec: Children & Recommender Systems: Workshop Co-Located With Acm Conference On Recommender Systems (Recsys 2017), Jerry Alan Fails, Maria Soledad Pera, Franca Garzotto, Mirko Gelsomini

Computer Science Faculty Publications and Presentations

The 1^st Workshop on Children and Recommender Systems (KidRec) is taking place in Como, Italy August 27^th, 2017 in conjunction with the ACM RecSys 2017 conference. The goals of the workshop are threefold: (1) discuss and identify issues related to recommender systems used by children including specific challenges and limitations, (2) discuss possible solutions to the identified challenges and plan for future research, and (3) build a community to directly work on these important issues.

High Performance Techniques Applied In Partial Differential Equations Library, Shilei Lin

All College Thesis Program, 2016-2019

This thesis explores various Trilinos packages to determine a method for updating the deal.ii library, which specializes in solving partial differential equations by finite element methods. It begins with introducing related concepts and general goals, followed by exploring computational and mathematical methods which are analytical solutions of one-dimensional Boussinesq equations and developing newer prototypes for solvers in deal.ii based on Trilinos packages. After demonstrating the methods, it indicates the reducing solving time in newer prototypes. Based on results from the prototype, similar methods are applied to update the deal.ii library. In the end, a testing program is exploited to demonstrate …

Analysis Of Attempted Intrusions: Intelligence Gathered From Ssh Honeypots, Priya Rabadia, Craig Valli, Ahmed Ibrahim, Zubair A. Baig

Australian Digital Forensics Conference

Honeypots are a defensive cyber security countermeasure used to gather data on intruder activities. By analysing the data collected by honeypots, mitigation strategies for cyberattacks launched against cyber-enabled infrastructures can be developed. In this paper, intelligence gathered from six Secure Shell (SSH) honeypots is presented. The paper is part of an ongoing investigation into analysing malicious activities captured by the honeypots. This paper focuses on the time of day attempted intrusions have occurred. The honeypot data has been gathered from 18th July 2012 until 13th January 2016; a period of 1,247 days. All six honeypots have the same hardware and …

Proceedings Of The 15th Australian Digital Forensics Conference, 5-6 December 2017, Edith Cowan University, Perth, Australia, Craig Valli

Australian Digital Forensics Conference

Conference Foreword This is the sixth year that the Australian Digital Forensics Conference has been held under the banner of the Security Research Institute, which is in part due to the success of the security conference program at ECU. As with previous years, the conference continues to see a quality papers with a number from local and international authors. 8 papers were submitted and following a double blind peer review process, 5 were accepted for final presentation and publication. Conferences such as these are simply not possible without willing volunteers who follow through with the commitment they have initially made, …

Drop (Drone Open Source Parser) Your Drone: Forensic Analysis Of The Dji Phantom Iii, Devon R. Clark, Christopher S. Meffert, Ibrahim Baggili, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

The DJI Phantom III drone has already been used for malicious activities (to drop bombs, remote surveillance and plane watching) in 2016 and 2017. At the time of writing, DJI was the drone manufacturer with the largest market share. Our work presents the primary thorough forensic analysis of the DJI Phantom III drone, and the primary account for proprietary file structures stored by the examined drone. It also presents the forensically sound open source tool DRone Open source Parser (DROP) that parses proprietary DAT files extracted from the drone's nonvolatile internal storage. These DAT files are encrypted and encoded. The …

Characterizing Concepts In Taxonomy For Entity Recommendations, Siva Kumar Cheekula

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Entity recommendation systems are enormously popular on the Web. These systems harness manually crafted taxonomies for improving recommendations. For example, Yahoo created the Open Directory Project for search and recommendation, and Amazon utilizes its own product taxonomy. While these taxonomies are of high quality, it is a labor and time-intensive process to manually create and keep them up to date. Instead, in this era ofWeb 2.0 where users collaboratively create large amounts of information on the Web, it is possible to utilize user-generated content to automatically generate good quality taxonomies. However, harnessing such taxonomies for entity recommendations has not been …

Detection Of Ddos Attacks Against The Sdn Controller Using Statistical Approaches, Basheer Husham Ali Al-Mafrachi

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In traditional networks, switches and routers are very expensive, complex, and inflexible because forwarding and handling of packets are in the same device. However, Software Defined Networking (SDN) makes networks design more flexible, cheaper, and programmable because it separates the control plane from the data plane. SDN gives administrators of networks more flexibility to handle the whole network by using one device which is the controller. Unfortunately, SDN faces a lot of security problems that may severely affect the network operations if not properly addressed. Threat vectors may target main components of SDN such as the control plane, the data …

Gait Analysis From Wearable Devices Using Image And Signal Processing, Bradley A. Schneider

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We present the results of analyzing gait motion in-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera and are validated using the ground truth dataset. We perform an additional data collection with both the camera and a body-worn accelerometer …

Web-Delivered Assembly Language Interactive Training And Its Sequence Identification For Software Reverse Engineering, Sunethra Thimmapuram

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The purpose of this research is to help the beginners of software reverse engineering, the process of extracting knowledge or design information from a product and reproducing it on basis of extracted information. Beginner users often find it difficult to use, as the task may be found daunting at first sight due to a lack of existing learning resources. We need a better way to present information to the novice reverse engineer about how to understand low-level sequences of assembly instructions. This is akin to how the key to learning a foreign language is based upon a fundamental knowledge of …

3d Character Modeling In Maya And Blender, Maddalyn B. Smith

Undergraduate Honors Theses

Two 3D modeling programs were compared with various models, and shapes, to determine the most efficient program for students, and professors. The two modeling programs included in the research were Autodesk Maya (Maya) and Blender. Maya and Blender both provide various assets for modeling. While they are very similar, it was concluded that Blender is preferred over Maya for individuals beginning to learn 3D modeling. Meanwhile, Maya is more beneficial to those who are more experienced and seek to acquiesce skills for professional environment. For teachers who are determining which program will best fit the students needs, it is important …

System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung

H-Workload 2017: Models and Applications (Works in Progress)

Fall prevention for geriatric populations is a growing concern among clinicians and researchers due to severe risk of morbidity and loss of independence. Emerging evidence has demonstrated that mental workload while walking influences gait stability and the risk for falling. Electroencephalography (EEG) presents a potential method to provide objective measures of mental workload, particularly during daily activities. Noise introduced to the EEG signal during motion, however, is restrictive. The study presented in the following paper isolates EEG signal noise attained from gait for a commercially accessible EEG system, the "Emotiv" Time and spectral system identification techniques were applied to model …

Online Measuring Of Available Resources, Enrique Munoz-De-Escalona, José Juan Canas

H-Workload 2017: Models and Applications (Works in Progress)

This paper present a proposal for measuring available mental resources during the accomplishment of a task. Our proposal consists in measuring emotions provoked by perceived self-efficacy in the execution of the task. Self-efficacy is one of the most important factors that affect the resources that a person puts at the disposal of the execution of the task. When a person perceives that he/she is not being effective he/she will activate more resources to improve his performance. This self-efficacy will be reflected in the emotions that the person experiences. A good efficacy will provoke positive emotions and a bad efficacy negative …

Comparison Of Two-Pass Algorithms For Dynamic Topic Modelling Based On Matrix Decompositions, John Cardiff, Gabriella Skitalinskaya, Mikhail Alexandrov

Conference Papers

In this paper we present a two-pass algorithm based on different matrix decompositions, such as LSI, PCA, ICA and NMF, which allows tracking of the evolution of topics over time. The proposed dynamic topic models as output give an easily interpreted overview of topics found in a sequentially organized set of documents that does not require further processing. Each topic is presented by a user-specified number of top-terms. Such an approach to topic modeling if applied to, for example, a news article data set, can be convenient and useful for economists, sociologists, political scientists. The proposed approach allows to achieve …