Designing A Tangible Interface For Manager Awareness In Wilderness Search And Rescue, Brennan Jones, Anthony Tang, Carman Neustaedter, Alissa N. Antle, Elgin-Skye Mclaren

Research Collection School Of Computing and Information Systems

We present a tangible interface for supporting wilderness search-and-rescue (SAR) managers in maintaining awareness of a large SAR incident, where there are numerous field teams searching for a lost person in a wilderness area. This interface consists of physical and digital representations of the search area and elements of the search activity (e.g., the locations of search teams, weather information, and clues from the field). It is intended to allow SAR managers to inspect information about the response and search area from different perspectives and aid them in planning by allowing them to physically manipulate the representations and explore the …

Double Learning Or Double Blinding: An Investigation Of Vendor Private Information Acquisition And Consumer Learning Via Online Reviews, Nan Hu, Kevin E. Dow, Alain Yee Loong Chong, Ling Liu

Research Collection School Of Computing and Information Systems

In this paper, building upon information acquisition theory and using portfolio methods and system equations, we made an empirical investigation into how online vendors and consumers are learning from each other, and how online reviews, prices, and sales interact among each other. First, this study shows that vendors acquire information from both private and public channels to learn the quality of their products to make price adjustment. Second, for the more popular products and newly released products, vendors are more motivated to acquire private information that is more precise than the average precision to adjust their price. Third, we document …

Cross-Modal Recipe Retrieval With Stacked Attention Model, Jing-Jing Chen, Lei Pang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Taking a picture of delicious food and sharing it in social media has been a popular trend. The ability to recommend recipes along will benefit users who want to cook a particular dish, and the feature is yet to be available. The challenge of recipe retrieval, nevertheless, comes from two aspects. First, the current technology in food recognition can only scale up to few hundreds of categories, which are yet to be practical for recognizing tens of thousands of food categories. Second, even one food category can have variants of recipes that differ in ingredient composition. Finding the best-match recipe …

Gesture Recognition With Transparent Solar Cells, Dong Ma, Guohao Lan, Mahbub Hassan, Wen Hu, B. Mushfika Upama, Ashraf Uddin, Youseef, Moustafa

Research Collection School Of Computing and Information Systems

Transparent solar cell is an emerging solar energy harvesting technology that allows us to see through these cells. This revolutionary discovery is creating unique opportunities to turn any mobile device screen into solar energy harvester. In this paper, we consider the possibility of using such energy harvesting screens as a sensor to detect hand gestures. As different gestures impact the incident light on the screen in a different way, they are expected to create unique energy generation patterns for the transparent solar cell. Our goal is to recognize gestures by detecting these solar energy patterns. A key uncertainty we face …

How To Catch When Proxies Lie: Verifying The Physical Locations Of Network Proxies With Active Geolocation, Zachary Weinberg, Shinyoung Cho, Nicolas Christin, Vyas Sekar, Phillipa Gill

Computer Science: Faculty Publications

Internet users worldwide rely on commercial network proxies both to conceal their true location and identity, and to control their apparent location. Their reasons range from mundane to security-critical. Proxy operators offer no proof that their advertised server locations are accurate. IP-to-location databases tend to agree with the advertised locations, but there have been many reports of serious errors in such databases. In this study we estimate the locations of 2269 proxy servers from ping-time measurements to hosts in known locations, combined with AS and network information. These servers are operated by seven proxy services, and, according to the operators, …

Target Localization And Tracking By Fusing Doppler Differentials From Cellular Emanations With A Multi-Spectral Video Tracker, Casey D. Demars, Michael Roggemann, Adam Webb, Timothy C. Havens

Michigan Tech Publications, Part 1

We present an algorithm for fusing data from a constellation of RF sensors detecting cellular emanations with the output of a multi-spectral video tracker to localize and track a target with a specific cell phone. The RF sensors measure the Doppler shift caused by the moving cellular emanation and then Doppler differentials between all sensor pairs are calculated. The multi-spectral video tracker uses a Gaussian mixture model to detect foreground targets and SIFT features to track targets through the video sequence. The data is fused by associating the Doppler differential from the RF sensors with the theoretical Doppler differential computed …

A Survey Of Software Metric Use In Research Software Development, Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver

Computer Science: Faculty Publications and Other Works

Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics …

Smartphone-Based Prenatal Education For Parents With Preterm Birth Risk Factors, U. Olivia Kim, K. Barnekow, Sheikh Iqbal Ahamed, S. Dreier, C. Jones, M. Taylor, Md Kamrul Hasan, M. A. Basir

Mathematics, Statistics and Computer Science Faculty Research and Publications

Objective

To develop an educational mobile application (app) for expectant parents diagnosed with risk factors for premature birth.

Methods

Parent and medical advisory panels delineated the vision for the app. The app helps prepare for preterm birth. For pilot testing, obstetricians offered the app between 18–22 weeks gestational age to English speaking parents with risk factors for preterm birth. After 4 weeks of use, each participant completed a questionnaire. The software tracked topics accessed and duration of use.

Results

For pilot testing, 31 participants were recruited and 28 completed the questionnaire. After app utilization, participants reported heightened awareness of preterm …

Multithreading Technique Improvement In Processing Client Server Communication By Utilizing Object Oriented Language, Eda Tabaku, Kliv Shapllo, Senada Bushati

UBT International Conference

A comparison of an application’s performance, when a program is executed through multiple threads and only a thread to complete a specified task by using Java techniques. In this paper will be expounded how a Java programmer can profit by technology facilities. How to create a program that executes in a parallel way, that solves independent tasks not one after the other, but all at the same time. The application that is developed(the environment used is Eclipse) aims to speed up the time needed to download images from a specific website, but it is flexible for downloading images also from …

Performance Analysis Of Java Persistence Api Providers, Besart Pllana

UBT International Conference

Nowadays, fast and accurate access to data is very important. Usually data is managed and processed through software applications. In recent years, the most preferred programming model by most application developers is Object Oriented Programming (OOP) where data is represented through objects. These data must be persistent and therefore needs to be stored, and storage can be done on a variety of databases. The most common databases are Relational Database Management Systems (RDBMS). While persistence of objects in RDBMS is limited by object-relational mismatch which is the inconsistency of the direct interaction between two components based on different approaches, OOP …

The Moving Object Reflected Under Matlab Test-Bench (Simulation Model Through Buit-In Functions), Virtyt Lesha, Jozef Bushati, Dea Strica

UBT International Conference

Digital image processing is an area that finds many applications in three-dimensional graphics. One of the subjects considered in image processing is detection of moving objects. In this paper, we have analyzed the performance of an algorithm that detects a moving object. The performance relates to the speed of moving object during a pre-determined time interval. The methodology supports Matlab integrated with built-in functions. Specifically, as input of the simulation model is a video material containing moving objects. The model reads a video file presenting moving objects; after the model is executed in Matlab, the output emits moving objects associated …

Nb-Iot: A Network Slice For Massive Iot, Xhafer Krasniqi

UBT International Conference

Network virtualisation is a concept that has been around for some time now, but the concept of network slicing is more recent and only started to be mentioned in the context of 5G. In essence, network slicing is a specific form of network virtualisation that enables sharing of physical resources by multiple logical network slices used to serve different applications and use cases. One such a use case would be to allocate network resources to small things, e.g. sensors and very low power consumption objects. To allow these small objects access to network resources or to a slice of such …

Review Of Cloud Migration Strategies And Providers – An Iaas Migration Strategy, Florinda Imeri, Agon Memeti

UBT International Conference

Companies are addressing the Cloud Computing issue more actively recently, as a part of a move towards a more agile and flexible IT infrastructure since benefitting from an IT infrastructure that is flexible, scalable, high-performance and up-to-date is no longer a luxury or the exception to a rule. The issue they address is “Which is the best strategy?” Of course, this is not a simple issue given that the cloud can impact an organization’s application picture across several dimensions. When an organizations made the decision to consider cloud services for its application or infrastructure deployment, it’s important to understand the …

Simulation Based Optimisation Of Ground Crews: Case Of A Regional Airport, Blaz Rodic, Alenka Baggia

UBT International Conference

Paper presents the simulation models built within an airport ground crew scheduling automatization project at a regional airport. Our goal was to develop robust ground crew task scheduling and shift generation algorithms that would improve on existing heuristic rules. We have utilized simulation modeling to develop and validate the algorithms, starting with a model of the existing scheduling process coded and visualized in spreadsheet software and ending with a hybrid Discrete Event and Agent Based model used for the visualization and verification of the optimized processes. Explicit and tacit expert knowledge was recorded through meetings with airport personnel managers and …

An Implementation Of Weighted Least Squares Method In Central Bank Twitter Accounts Grew Prediction, Goran Bjelobaba, Ana Savic, Radosav Veselinovic, Hana Stefanovic

UBT International Conference

This paper presents some advantages of using social media and social networks as an efficient way of Central Banks communication with target audience. The statistics given in this paper presents some leading banks based on number of followers on Twitter in 2018, showing that Indonesia’s Central Bank has more Twitter followers than any other monetary authority, beating out the Banco de Mexico, Federal Reserve, European Central Bank and Reserve Bank of India. In this paper some prediction of number of Twitter followers in Central Bank communication is also contributed, based on Weighted Least Squares method. An algorithm is implemented in …

Efficiency Of Calculating Gcd Through Computer With Help Of Modified Euclidean Algorithm, Emin Emini, Azir Jusufi, Ruhada Emini

UBT International Conference

Euclid’s algorithm remains to be the most efficient method for finding greatest common divisor of two full numbers. By using the meaning of congruences this research paper will make a modification in the note of the Euclid’s algorithm. Here are discussed both classic and modified methods, by putting appropriate codes and observe the duration of the calculation through the computer.

Combining Cryptographic Primitives According To Security Metrics And Vulnerabilities In Real Systems, Blerina Çeliku, Rafail Prodani, Emis Simo

UBT International Conference

There are so many applications and data that flow during our daily activities, either personal or institutional ones. Also the companies and business do transactions or their real operations through the Web and other Internet facilities. Security breaches are costing individuals or companies millions so information security has to be a major priority. There are several forms of security technology available, but encryption is one that everyday computer users should know about. Encryption and the performance of cryptographic algorithms are variable according to implemented platforms, software and hardware components or application scenarios. According to specific security metrics and requirements we …

Technology Mediated Nudging In A Mobile Health Context, My Zetterholm, Päivi Jokela, Lina Nilsson

UBT International Conference

According to a vision for eHealth that was launched in 2016 by the Swedish Government, Sweden will be leading the way in using the potential of digitalization and eHealth to help people achieve a good and equal health. To achieve this vision, we argue that initiatives in eHealth need to augment the traditional health perspective. This implies a more preventive approach that transforms the health concept to a continuous participative process over the life course. A stronger emphasis is needed to develop high quality mobile and web based systems in order to empower people to pursue a healthy lifestyle. A …

Vulnerability Assessment & Penetration Testing: Case Study On Web Application Security, Gazmend Krasniqi, Veton Bejtullahu

UBT International Conference

Complexity of information systems are increasing day by day. The security of information systems that are connected to public networks can be compromised by unauthorized, and usually anonymous, attempts to access them. By using public networks businesses and other institutions are exposed to numerous risks. This leads to more and more vulnerabilities in Information Systems. This situation calls for test methods that are devised from the attacker’s perspective to ensure that test conditions are as realistic as possible. In this paper we will describe complete stages of Vulnerability Assessment and Penetration Testing on some systems in UBT and proactive action …

Emotion Recognition Using Deep Convolutional Neural Network With Large Scale Physiological Data, Astha Sharma

USF Tampa Graduate Theses and Dissertations

Classification of emotions plays a very important role in affective computing and has real-world applications in fields as diverse as entertainment, medical, defense, retail, and education. These applications include video games, virtual reality, pain recognition, lie detection, classification of Autistic Spectrum Disorder (ASD), analysis of stress levels, and determining attention levels. This vast range of applications motivated us to study automatic emotion recognition which can be done by using facial expression, speech, and physiological data.

A person’s physiological signals such are heart rate, and blood pressure are deeply linked with their emotional states and can be used to identify a …

Optical Wireless Data Center Networks, Abdelbaset S. Hamza

School of Computing: Dissertations, Theses, and Student Research

Bandwidth and computation-intensive Big Data applications in disciplines like social media, bio- and nano-informatics, Internet-of-Things (IoT), and real-time analytics, are pushing existing access and core (backbone) networks as well as Data Center Networks (DCNs) to their limits. Next generation DCNs must support continuously increasing network traffic while satisfying minimum performance requirements of latency, reliability, flexibility and scalability. Therefore, a larger number of cables (i.e., copper-cables and fiber optics) may be required in conventional wired DCNs. In addition to limiting the possible topologies, large number of cables may result into design and development problems related to wire ducting and maintenance, heat …

Drone Movement Control Using Gesture Recognition From Wearable Devices, Venkata Sireesha Dadi

USF Tampa Graduate Theses and Dissertations

Gesture Recognition is a new and upcoming trend that is being widely used in wearable devices and mobile handheld devices. The sensors like Accelerometer, Gyroscope, Heart rate monitor, Barometer and Ambient Light are mostly being included within the device to detect the static or continuous motion, rotational velocity, heartbeat rate of the user, pressure and light conditions for the device respectively. Implementing algorithms to capture the readings of these sensors and implementing them in a necessary way allows a user to use the wearable devices for a wide variety of applications. One such application is controlling Drone that takes user …

Wireless Intrusion Detection And Device Fingerprinting Through Preamble Manipulation, Benjamin W. Ramsey, Barry E. Mullins

AFIT Patents

A method of establishing a hardware identity of a coordinating device in a wireless network is provided. A standard PHY preamble is modified to a preamble that can be received by the coordinating device having an expected hardware configuration. The modified PHY preamble is transmitted with an association request by a joining device. In response to not receiving a reply containing an association response from the coordinating device by the joining device, determining the hardware configuration of the coordinating device is not the expected hardware configuration. A further method of characterizing a hardware identity of a device in a wireless …

Effective Visualization Approaches For Ultra-High Dimensional Datasets, Gurminder Kaur

LSU Doctoral Dissertations

Multivariate informational data, which are abstract as well as complex, are becoming increasingly common in many areas such as scientific, medical, social, business, and so on. Displaying and analyzing large amounts of multivariate data with more than three variables of different types is quite challenging. Visualization of such multivariate data suffers from a high degree of clutter when the numbers of dimensions/variables and data observations become too large. We propose multiple approaches to effectively visualize large datasets of ultrahigh number of dimensions by generalizing two standard multivariate visualization methods, namely star plot and parallel coordinates plot. We refine three variants …

Cross-Referencing Social Media And Public Surveillance Camera Data For Disaster Response, Chittayong Surakitbanharn,, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David Ebert, Yung-Hsiang Lu, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content …

A Sensitivity Analysis For Mixed Criticality: Trading Criticality With Computational Resource, Luca Santinelli, Zhishan Guo

Computer Science Faculty Research & Creative Works

Mixing workloads with multiple criticality levels raises challenges both in timing analysis and schedulability analysis. The timing models have to characterize the different behaviors that real-time tasks can experience under the various criticality modes. Instead, the schedulability analysis has to combine every task and task interactions providing several guarantees, depending on the criticality level demanded at runtime. With this work, at first, we propose representations to model every possible system criticality mode as a combination of task criticality modes. A set of bounding functions is obtained, a bound for each mode combination thus corresponding to a system criticality level. Secondly, …

Mapping Knowledge Units Using A Learning Management System (Lms) Course Framework, Casey Rackley

KSU Proceedings on Cybersecurity Education, Research and Practice

ABSTRACT

The purpose of this paper is to examine the outcomes of using a Learning Management System (LMS) course as a framework for mapping the Centers of Academic Excellence in Cyber Defense (CAE-CD) 2019 Knowledge Units (KU) to college courses. The experience shared herein will be useful to faculty who are interested in performing the mapping and applying for CAE-CDE designation.

Hijacking Wireless Communications Using Wifi Pineapple Nano As A Rogue Access Point, Shawn J. Witemyre, Tamirat T. Abegaz, Bryson R. Payne, Ash Mady

KSU Proceedings on Cybersecurity Education, Research and Practice

Wireless access points are an effective solution for building scalable, flexible, mobile networks. The problem with these access points is often the lack of security. Users regularly connect to wireless access points without thinking about whether they are genuine or malicious. Moreover, users are not aware of the types of attacks that can come from “rogue” access points set up by attackers and what information can be captured by them. Attackers use this advantage to gain access to users’ confidential information. The objective of this study is to examine the effectiveness of the WiFi Pineapple NANO used as a rogue …

Towards A Development Of Predictive Models For Healthcare Hipaa Security Rule Violation Fines, Jim Furstenberg, Yair Levy

KSU Proceedings on Cybersecurity Education, Research and Practice

The Health Insurance Portability and Accountability Act’s (HIPAA) Security Rule (SR) mandate provides a national standard for the protection of electronic protected health information (ePHI). The SR’s standards provide healthcare covered entities (CEs’) flexibility in how to meet the standards because the SR regulators realized that all health care organizations are not the same. However, the SR requires CEs’ to implement reasonable and appropriate safeguards, as well as security controls that protect the confidentiality, integrity, and availability (CIA) of their ePHI data. However, compliance with the HIPAA SR mandates are confusing, complicated, and can be costly to CEs’. Flexibility in …

Cybersecurity Education Employing Experiential Learning, Travis Lowe, Casey Rackley

KSU Proceedings on Cybersecurity Education, Research and Practice

ABSTRACT

The purpose of this paper is to discuss a curriculum design that employs Kolb’s Experiential Learning Theory stages and Kolb’s Learning Styles in four consecutive class sessions. The challenge each class is to present students with perplexing and often frustrating network problems that someday might be encountered on the job. By using Kolb’s theory, students address those problems from the perspective of each learning style, while passing through each phase of the learning cycle. As a result, students gain stronger cognitive thinking skills and hands-on troubleshooting skills in preparation for work as network administrators or cybersecurity analysts.