Computer Engineering Commons^™

A Comparison Of Supervised Machine Learning Classification Techniques And Theory-Driven Approaches For The Prediction Of Subjective Mental Workload, Dmitrii Gmyzin

Dissertations

In the modern world of technological progress, systems and interfaces are becoming more and more complex. As a consequence, it is a crucial to design the human-computer interaction in the most optimal way to improve the user experience. The construct of Mental Workload is a valid metric that can be used for such a goal. Among the different ways of measuring Mental Workload, self-reporting procedures are the most adopted for their ease of use and application. This research is focused on the application of Machine Learning as an alternative to theory-driven approaches for Mental Workload measurement. In particular, the study …

Optimized Trajectory Generation For Car-Like Robots On A Closed Loop Track, Tyler Friedl

Electronic Theses and Dissertations

This thesis presents a method for generating an optimized path through a given track. The path is generated by choosing waypoints throughout the track then iteratively optimizing the position of these waypoints. The waypoints are then connected by optimized paths represented by curvature polynomials. The end result is a path through the track represented as a spline of curvature polynomials. This method is applied to multiple simulated tracks and the results are presented. By generating and representing the paths in the continuous domain, the method has improved computational efficiency from many of the discrete methods used to generate an optimal …

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. …

Automatic Power Management For Instructional Computers At Humboldt State University: A Calculation Of Potential Energy Savings And Greenhouse Gas Emissions Reductions, Nicholas F. Flenghi

Projects

Computers consume an estimated 5,610 GWh per year in California alone. Much of that energy is consumed by computers that are not being used. In this project, detailed user login data are used to estimate the energy consumption of instructional computers at Humboldt State University (HSU) over the course of one semester. The data are also used to estimate the potential energy savings from automating the shutdown process. Potential cost savings and greenhouse gas (GHG) emissions reductions resulting from implementing an automatic-shutdown power management plan are also calculated.

There are approximately 1,000 computers used for teaching and learning purposes at …

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

Browse all Theses and Dissertations

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 …

Company Health Dashboard, Zachary Raney, Ahmad Shahir Abdul Satar

Capstone Design Expo Posters

Company Health Dashboard is a web application that serves as a tool to display information in dynamic grid-like modules. This application displays viewer-friendly information on the televisions around the company office using Raspberry Pi devices. In order to benefit different types of users, the application divides the screen into multiple customizable modules, with each module representing different information. Company employees, for example, can view information about company news, upcoming events, or even what’s on tap for that day. Visitors or clients, on the other hand, can see information about the company while waiting for their meeting.

The design of the …

Stackintheflow: Stackoverflow Search Engine, John Coogle, Jeet Gajjar, Chase Greco

Capstone Design Expo Posters

Programmers increasing rely on an Integrated Development Environment (IDE), which offers capabilities for writing, debugging and testing code. Most developers, ranging from novices to pros, reference outside sources when developing, such as the popular Q&A site StackOverflow. In the 2016 StackOverflow Developer Survey it was observed that 78% of survey participants visited StackOverflow at least once a day, with 58% visiting multiple times a day. The purpose of the StackInTheFlow software development tool is to reduce the amount of time and interruption necessary to gather external information during development. This enables the developer to remain in-the-flow of solving software engineering …

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

Browse all Theses and Dissertations

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

Browse all Theses and Dissertations

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

Browse all Theses and Dissertations

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

Browse all Theses and Dissertations

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 …

Annual Report 2016-2017, Depaul University College Of Computing And Digital Media

CDM Annual Reports

The College of Computing and Digital Media has always prided itself on curriculum, creative work, and research that stays current with changes in our various fields of instruction. As we looked back on our 2016-17 academic year, the need to chronicle the breadth and excellence of this work became clear. We are pleased to share with you this annual report, our first, highlighting our accomplishments.

Last year, we began offering three new graduate programs and two new certificate programs. We also planned six degree programs and three new certificate programs for implementation in the current academic year. CDM faculty were …

Quadmutex: Quadratic Driver Mutation Explorer, Bokhari Yahya, Tomasz Jakub Arodz

Computer Science Publications

Background

Somatic mutations accumulate in human cells throughout life. Some may have no adverse consequences, but some of them may lead to cancer. A cancer genome is typically unstable, and thus more mutations can accumulate in the DNA of cancer cells. An ongoing problem is to figure out which mutations are drivers - play a role in oncogenesis, and which are passengers - do not play a role. One way of addressing this question is through inspection of somatic mutations in DNA of cancer samples from a cohort of patients and detection of patterns that differentiate driver from passenger mutations. …

Parsing Metamap Files In Hadoop, Amy Olex, Alberto Cano, Bridget T. Mcinnes

Computer Science Publications

The UMLS::Association CUICollector module identifies UMLS Concept Unique Identifier bigrams and their frequencies in a biomedical text corpus. CUICollector was re-implemented in Hadoop MapReduce to improve algorithm speed, flexibility, and scalability. Evaluation of the Hadoop implementation compared to the serial module produced equivalent results and achieved a 28x speedup on a single-node Hadoop system.

An Integrative In-Silico Approach For Therapeutic Target Identification In The Human Pathogen Corynebacterium Diphtheriae, Syed Babar Jamal, Syed Shah Hassan, Sandeep Tiwari, Marcus V. Viana, Leandro De Jesus Benevides, Asad Ullah, Adrián G. Turjanski, Debmalya Barh, Preetam Ghosh, Daniela Arruda Costa, Artur Silva, Richard Röttger, Jan Baumbach, Vasco A.C. Azevedo

Computer Science Publications

Corynebacterium diphtheriae (Cd) is a Gram-positive human pathogen responsible for diphtheria infection and once regarded for high mortalities worldwide. The fatality gradually decreased with improved living standards and further alleviated when many immunization programs were introduced. However, numerous drug-resistant strains emerged recently that consequently decreased the efficacy of current therapeutics and vaccines, thereby obliging the scientific community to start investigating new therapeutic targets in pathogenic microorganisms. In this study, our contributions include the prediction of modelome of 13 C. diphtheriae strains, using the MHOLline workflow. A set of 463 conserved proteins were identified by combining the results of pangenomics …

Foodi - Automated Ordering System, Zachary Stone, Daniel Evans, Kevin Bierlein

Capstone Design Expo Posters

We worked for BeSprout Technology to create an automated ordering system called Foodi. The Foodi system uses a combination of Java, IBM Watson, and MySQL to gather all the necessary information needed for the conversation, and is dynamic so it can be used in multiple restaurants. Many people still place orders via a phone call, so in an effort to streamline the ordering process, this project was created to enable automatic order placing so employees can focus on other tasks within the restaurant.

When a customer calls a restaurant, Foodi will take care of any orders and answer questions the …

Internal Medicine, Keroles Hakem, Robert Trachy, Khanh Tran

Capstone Design Expo Posters

Our objective was to develop a model to predict the length of stay of patients using data from MCV. We conducted our analysis using a dataset of over 130,000 patients described by 66 features. The features contained clinical characteristics (e.g. diagnosis), facility characteristics (e.g. bed type), and socioeconomic characteristics (e.g. insurance type). Our study was focused on patients that stayed in the hospital. To cope with data imperfections, such as missing data, we applied data cleaning methods. Using learned domain knowledge, we identified 9 features to build our predictive models: admit source, primary insurance, discharge disposition, admit unit, iso result, …

Explaining The Performance Of Bidirectional Dijkstra And A* On Road Networks, Sneha Sawlani

Electronic Theses and Dissertations

The heuristic search community traditionally uses A* as the baseline algorithm for their research methods. Research papers in the road networks community, however, often build upon Dijkstra's algorithm and use Bidirectional Dijkstra's algorithm as their baseline. This thesis investigates the performance of A* and Bidirectional Dijkstra in road networks to see how they compare and to see if there is a principled explanation for the different approaches. Our analysis reveals why Bidirectional Dijkstra can perform well in this domain, but also shows a simple mistake that can be made when building test problems that hurts the performance of A*.

Convolutional Neural Networks For Predicting Skin Lesions Of Melanoma, Anuruddha Jayasekara Pathiranage

Regis University Student Publications (comprehensive collection)

Diagnosis of an unknown skin lesion is crucial to enable proper treatments. While curable with early diagnosis, only highly trained dermatologists are capable of accurately recognize melanoma skin lesions. Expert dermatologist classification for melanoma dermoscopic images is 65-66%. As expertise is in limited supply, systems that can automatically classify skin lesions as either benign or malignant melanoma are very useful as initial screening tools. Towards this goal, this study presents a convolutional neural network model, trained on features extracted from a highway convolutional neural network pretrained on dermoscopic images of skin lesions. This requires no lesion segmentation nor complex preprocessing. …