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Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li 2020 Technological University Dublin

Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li

Dissertations

A two-stage classification model is built in the research for online sexual predator identification. The first stage identifies the suspicious conversations that have predator participants. The second stage identifies the predators in suspicious conversations. Support vector machines are used with word and character n-grams, combined with behavioural features of the authors to train the final classifier. The unbalanced dataset is downsampled to test the performance of re-balancing an unbalanced dataset. An age group classification model is also constructed to test the feasibility of extracting the age profile of the authors, which can be used as features for classifier training. The ...


Transformer Neural Networks For Automated Story Generation, Kemal Araz 2020 Technological University Dublin

Transformer Neural Networks For Automated Story Generation, Kemal Araz

Dissertations

Towards the last two-decade Artificial Intelligence (AI) proved its use on tasks such as image recognition, natural language processing, automated driving. As discussed in the Moore’s law the computational power increased rapidly over the few decades (Moore, 1965) and made it possible to use the techniques which were computationally expensive. These techniques include Deep Learning (DL) changed the field of AI and outperformed other models in a lot of fields some of which mentioned above. However, in natural language generation especially for creative tasks that needs the artificial intelligent models to have not only a precise understanding of the ...


Deepmag+ : Sniffing Mobile Apps In Magnetic Field Through Deep Learning, Rui Ning, Cong Wang, ChunSheng Xin, Jiang Li, Hongyi Wu 2020 Old Dominion University

Deepmag+ : Sniffing Mobile Apps In Magnetic Field Through Deep Learning, Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li, Hongyi Wu

Electrical & Computer Engineering Faculty Publications

This paper reports a new side-channel attack to smartphones using the unrestricted magnetic sensor data. We demonstrate that attackers can effectively infer the Apps being used on a smartphone with an accuracy of over 80%, through training a deep Convolutional Neural Networks (CNN). Various signal processing strategies have been studied for feature extractions, including a tempogram based scheme. Moreover, by further exploiting the unrestricted motion sensor to cluster magnetometer data, the sniffing accuracy can increase to as high as 98%. To mitigate such attacks, we propose a noise injection scheme that can effectively reduce the App sniffing accuracy to only ...


Assessment Of Dobhoff Tube Malposition On Radiographs Using Deep Learning, Kevin George, Paras Lakhani, MD 2020 Thomas Jefferson University

Assessment Of Dobhoff Tube Malposition On Radiographs Using Deep Learning, Kevin George, Paras Lakhani, Md

Phase 1

Introduction: Dobhoff tubes (DHT) are narrow-bore flexible devices that deliver enteral nutrition for critically ill patients. Tracheobronchial insertion of DHTs presents a significant risk for pulmonary complications. Thus, DHT insertion requires radiologist confirmation of correct placement with chest x-ray (CXR), increasing clinical delays. To address this, we demonstrate the novel application of Deep Convolutional Neural Networks (DCNNs) to automatically and accurately identify DHTs in CXRs in real time.

Methods: 141 de-identified HIPAA compliant frontal view chest radiographs containing DHTs in various positions were obtained. The DHTs were first manually segmented and verified by a board certified radiologist. Images were split ...


Automated Assessment Of Cardiothoracic Ratios On Chest Radiographs Using Deep Learning, Varun Danda, Paras Lakhani, MD 2020 Thomas Jefferson University

Automated Assessment Of Cardiothoracic Ratios On Chest Radiographs Using Deep Learning, Varun Danda, Paras Lakhani, Md

Phase 1

Introduction: The cardiothoracic ratio (CTR) is a quantitative measure of cardiac size that can measured from chest radiography (CXR). Although radiologists using digital workstations possess the ability to calculate CTR, clinical demands prevent calculation for every case. In this study, the efficacy of a deep convolutional neural network (dCNN) to assess CTR was evaluated.

Methods: 611 HIPAA-compliant de-identified CXRs were obtained from [institution blinded] and public databases. Using ImageJ, a board-certified radiologist (reader #1) and a medical student (reader #2), measured the CTR by marking four pixels on all CXRs: the right- and left-most chest wall, the right- and left-most ...


Power-Over-Tether Uas Leveraged For Nearly Indefinite Meteorological Data Acquisition In The Platte River Basin, Daniel Rico, Carrick Detweiler, Francisco Munoz-Arriola 2020 University of Nebraska - Lincoln

Power-Over-Tether Uas Leveraged For Nearly Indefinite Meteorological Data Acquisition In The Platte River Basin, Daniel Rico, Carrick Detweiler, Francisco Munoz-Arriola

CSE Conference and Workshop Papers

The integration of unmanned aerial systems (UASs) has increased in the field of agriculture. These systems can provide data that was previously difficult to obtain to help increase efficiency and production. Typical commercial off the shelf (COTS) UASs have significant limitations in the form of small payloads, and short flight times which inhibit their ability to provide significant quantities of useful data. We present the development of a novel power-over-tether UAS that leverages the physical presence of the tether to integrate sensors at multiple altitudes along the tether. The UAS can acquire data nearly indefinitely to sense atmospheric conditions and ...


Eyecom: An Innovative Approach For Computer Interaction, Anam Mazhar 2020 Marshall University

Eyecom: An Innovative Approach For Computer Interaction, Anam Mazhar

Theses, Dissertations and Capstones

The world is innovating rapidly, and there is a need for continuous interaction with the technology. Sadly, there do not exist promising options for paralyzed people to interact with the machines i.e., laptops, smartphones, and tabs. A few commercial solutions such as Google Glasses are costly and cannot be afforded by every paralyzed person for such interaction. Towards this end, the thesis proposes a retina-controlled device called EYECOM. The proposed device is constructed from off-the-shelf cost-effective yet robust IoT devices (i.e., Arduino microcontrollers, Xbee wireless sensors, IR diodes, and accelerometer). The device can easily be mounted on to ...


Visual Music Assistant, David Klett 2020 The University of Akron

Visual Music Assistant, David Klett

Williams Honors College, Honors Research Projects

The Visual Music Assistant system provides an augmented reality experience via Microsoft's HoloLens device. The application we will develop will provide an intuitive user interface to learn how to play on a keyboard (88-key piano).


Bioimpedance Sensor, Ryan Byo, Kevin Libertowski 2020 The University of Akron

Bioimpedance Sensor, Ryan Byo, Kevin Libertowski

Williams Honors College, Honors Research Projects

A bioimpdance senor to measure the impedance of a human body. Completed as part of the engineering Senior Design Project


Tabletop Mechanical Tester, Jamie Dombroski, Andrew Shirk, Richard Leffler, Brian English 2020 The University of Akron

Tabletop Mechanical Tester, Jamie Dombroski, Andrew Shirk, Richard Leffler, Brian English

Williams Honors College, Honors Research Projects

The need for hands-on and face-to-face experiences in the engineering classroom is very great. The equations, principles, and concepts can all be learned, but without the visual and tactile application, these don’t always sink in or become concrete. A small-scale tensile test machine was designed, sourced, manufactured, and tested for the purpose of being applied in classroom settings to provide this experience to engineering students. Extensive research was performed concerning tensile machines on the market, the essential elements of which are the load cell, grips, crosshead, extensometer, motor, and frame. The raw materials for the frame were purchased and ...


The Effects Of Mixed-Initiative Visualization Systems On Exploratory Data Analysis, Alvitta Ottley, Adam Kern 2020 Washington University in St. Louis

The Effects Of Mixed-Initiative Visualization Systems On Exploratory Data Analysis, Alvitta Ottley, Adam Kern

All Computer Science and Engineering Research

The primary purpose of information visualization is to act as a window between a user and the data. Historically, this has been accomplished via a single-agent framework: the only decision-maker in the relationship between visualization system and analyst is the analyst herself. Yet this framework arose not from first principles, but a necessity. Before this decade, computers were limited in their decision-making capabilities, especially in the face of large, complex datasets and visualization systems. This paper aims to present the design and evaluation of a mixed-initiative system that aids the user in handling large, complex datasets and dense visualization systems ...


Tabletop Mechanical Tester, Jamie Dombroski, Brian English, Richard Leffler, Andrew Shirk 2020 The University of Akron

Tabletop Mechanical Tester, Jamie Dombroski, Brian English, Richard Leffler, Andrew Shirk

Williams Honors College, Honors Research Projects

The need for hands-on and face-to-face experiences in the engineering classroom is very great. The equations, principles, and concepts can all be learned, but without the visual and tactile application, these don’t always sink in or become concrete. A small-scale tensile test machine was designed, sourced, manufactured, and tested for the purpose of being applied in classroom settings to provide this experience to engineering students. Extensive research was performed concerning tensile machines on the market, the essential elements of which are the load cell, grips, crosshead, extensometer, motor, and frame. The raw materials for the frame were purchased and ...


Smart Collar, Gretchen T. Woodling, Sean Moran, Justen Bischoff, Jacob Sindelar 2020 The University of Akron

Smart Collar, Gretchen T. Woodling, Sean Moran, Justen Bischoff, Jacob Sindelar

Williams Honors College, Honors Research Projects

The Smart Collar is a universal pet tracker, designed to be small and exceedingly comfortable for any pet to wear. GPS technology is used to locate the device, allowing the user to track their pet, via a smart phone application. This application can be used to program the device, view maps of their pet’s location and history of travel. Operating primarily on Long Range Wide Area Network (LoRaWAN) for data transfer, the device consumes very little power, allowing for several days of run-time per charge of the battery. Boasting no monthly service fees, The Smart Collar provides pet owner ...


Terraria Server On A Raspberry Pi, Bradley Stoldt 2020 The University of Akron

Terraria Server On A Raspberry Pi, Bradley Stoldt

Williams Honors College, Honors Research Projects

My senior project is designed to display some of the material I have learned throughout the four years at The University of Akron, as well as explore into a newer piece of technology. I will be researching and documenting myself setting up a live network at my house that will have a raspberry pi running on it as a game server. The goal of this project is to get internal users to connect to the server, as well as users that are outside of my home network.


Zips Racing Electric Can Communications, Andrew Jordan, Adam Long, Susanah Kowalewski, Rami Nehme 2020 The University of Akron

Zips Racing Electric Can Communications, Andrew Jordan, Adam Long, Susanah Kowalewski, Rami Nehme

Williams Honors College, Honors Research Projects

The CAN protocol has been a standard of electronic communication networks of automotive vehicles since the early 2000s due to its robust reliability in harsh environments. For the 2020 competition year, the Zips Racing Electric design team will be building an entirely new, fully-electric vehicle with CAN communication implemented rather than communicating via pure analog signals. Hardware and software can be utilized to read analog electrical signals from a source, such as accelerator and brake sensors, and encode them into a digital message that meets the CAN 2.0B communication protocol standard. Likewise, software can be used to extract data ...


Jc Drain And Sewer Website, Jarod Pichler, Nathan Houman 2020 Arcadia University

Jc Drain And Sewer Website, Jarod Pichler, Nathan Houman

Capstone Showcase

  1. A website for a small plumbing business in Scranton, Pennsylvania. The website includes a Home, About Us, Services, Contact Us, and Testimonials page. The home page introduces the company to the website viewer. The About Us page provides information about the company and owner, to the website viewer. The Services page provides the website viewer with all of the services that the company can provide. The Contact Us page allows the website viewer to send the company an email. Finally, the Testimonials page will allow the website viewer to leave a comment about the company’s services. The website also ...


I/O Master, Aaron Dubler, Corey Dye, Cameron Sinko, Ian Glen, Nikolaus Untch 2020 The University of Akron

I/O Master, Aaron Dubler, Corey Dye, Cameron Sinko, Ian Glen, Nikolaus Untch

Williams Honors College, Honors Research Projects

The I/O Master is an engineering tool designed to let users quickly and efficiently use their computer to interface with embedded devices and sensors. Using a general purpose design, the goal is to make it possible to implement any digital protocol on the I/O Master. With the use of onboard level shifting, differential communication components, peripheral DMA through GPIO and a USB 2.0 High Speed computer interface, the I/O Master is able to implement such a general purpose design with initial implementation of five protocols to verify the design's capabilities. The implementation of a computer-based ...


Vehicle Operator Attention Monitor, Matthew Krispinsky, Matt Marsek, Matthew Mayfield, Brian Call 2020 The University of Akron

Vehicle Operator Attention Monitor, Matthew Krispinsky, Matt Marsek, Matthew Mayfield, Brian Call

Williams Honors College, Honors Research Projects

Motor vehicle operators’ attention levels can be monitored to improve driver safety. By recording and analyzing the drivers eye gaze, hand position, vehicle speed and engine rpm the driver’s attention can be determined. A Raspberry Pi will be the main processing unit. Data will be pulled and analyzed from the OBD-II port on vehicle speed and engine rpm. The system will be powered from a 12V, 4A pin on the OBD-II port connected to the car battery. A webcam will be used to track the pupil location and determine when the driver is looking at the road. A battery ...


Digital, Automated Reactive Target System, Nicholas Haas, SaiPranay Vellala, Trandon Ware, Thomas Martin 2020 The University of Akron

Digital, Automated Reactive Target System, Nicholas Haas, Saipranay Vellala, Trandon Ware, Thomas Martin

Williams Honors College, Honors Research Projects

In this era, technology is woven into almost every facet of our leisure activities. Although technology has innovated hobbies ranging from chess to soccer, the art of shooting has been neglected. Unnecessary insufficiency such as bullet ricochets off of mechanical steel targets, ineffective progress tracking, and general inaccessibility to outdoor training facilities are all improvable areas of this sport. The Dynamic Automated Reactive Target (D.A.R.T) System aims to fill some of these gaps and help modernize recreational marksmanship. Modeling the system after a dueling tree will optimize the use of the system and allow for different training ...


Creature Care, Alexander Weber 2020 The University of Akron

Creature Care, Alexander Weber

Williams Honors College, Honors Research Projects

Caring for a pet is a formidable responsibility that requires intense care and monitoring in order to protect and prolong the life of the animal. Traditionally, caring for a reptile presents a unique challenge for pet owners, who not only need to care for the animal but for the environment as well. Individual species distinctly require precise monitoring and control of environmental parameters such as temperature, humidity, and air quality; and deviation from the nominal values often leads to serious health problems for the reptile. To simplify reptile ownership, a system was designed that measures the critical parameters of a ...


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