A Half- Yearly E-Newsletter Of The Department Of Computer Science And Engineering, Manipal Institute Of Technology -Jan 2019,
2019
Department of Computer Science and Engineering Manipal Institute of Technology
A Half- Yearly E-Newsletter Of The Department Of Computer Science And Engineering, Manipal Institute Of Technology -Jan 2019, Ashalatha Nayak
Faculty work
No abstract provided.
Sr Education Group, A Leading Education Research Publisher, Ranked Nova Southeastern University (Nsu) Within Their 2019 Lists Of Best Online Colleges,
2019
Nova Southeastern University
Sr Education Group, A Leading Education Research Publisher, Ranked Nova Southeastern University (Nsu) Within Their 2019 Lists Of Best Online Colleges, Nova Southeastern University
College of Computing and Engineering News Archive
SR Education Group, a leading education research publisher, ranked Nova Southeastern University (NSU) within their 2019 lists of best online colleges. The group recognized NSU’s College of Computing and Engineering for its Master of Science in Computer Science and Engineering program, ranking it 13 out of 19 in “Best Online Master's in Computer Science Programs.” The college was also ranked 6 out of 8 for “Best Online Master's in Information Technology (IT) Degrees.”
Adapted K-Nearest Neighbors For Detecting Anomalies On Spatio–Temporal Traffic Flow,
2019
Norwegian University of Science and Technology
Adapted K-Nearest Neighbors For Detecting Anomalies On Spatio–Temporal Traffic Flow, Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Alberto Cano
Computer Science Publications
Outlier detection is an extensive research area, which has been intensively studied in several domains such as biological sciences, medical diagnosis, surveillance, and traffic anomaly detection. This paper explores advances in the outlier detection area by finding anomalies in spatio-temporal urban traffic flow. It proposes a new approach by considering the distribution of the flows in a given time interval. The flow distribution probability (FDP) databases are first constructed from the traffic flows by considering both spatial and temporal information. The outlier detection mechanism is then applied to the coming flow distribution probabilities, the inliers are stored to enrich the …
Utilizing Deep Neural Networks For Brain–Computer Interface-Based Prosthesis Control,
2019
George Fox University
Utilizing Deep Neural Networks For Brain–Computer Interface-Based Prosthesis Control, Thomas C. Noel, Brian R. Snider
Faculty Publications - Department of Electrical Engineering and Computer Science
Limb amputations affect a significant portion of the world’s population every year. The necessity for these operations can be associated with related health conditions or a traumatic event. Currently, prosthetic devices intended to alleviate the burden of amputation lack many of the premier features possessed by their biological counterparts. The foremost of these features are agility and tactile function. In an effort to address the former, researchers here investigate the fundamental connection between agile finger movement and brain signaling. In this study each subject was asked to move his or her right index finger in sync with a time-aligned finger …
Analyzing Public View Towards Vaccination Using Twitter,
2019
Wright State University
Analyzing Public View Towards Vaccination Using Twitter, Mahajan Rutuja
Browse all Theses and Dissertations
Educating people about vaccination tends to target vaccine acceptance and reduction of hesitancy. Social media provides a promising platform for studying public perception regarding vaccination. In this study, we harvested tweets over a year related to vaccines from February 2018 to January 2019. We present a two-stage classifier to: (1) classify the tweets as relevant or non-relevant and (2) categorize them in terms of pro-vaccination, anti-vaccination, or neutral outlook. We found that the classifier was able to distinguish clearly between anti-vaccination and pro-vaccination tweets, but also misclassified many of these as neutral. Using Latent Dirichlet Allocation, we found that two …
Emerging Roles Of Virtual Patients In The Age Of Ai,
2019
Old Dominion University
Emerging Roles Of Virtual Patients In The Age Of Ai, C. Donald Combs, P. Ford Combs
Computational Modeling & Simulation Engineering Faculty Publications
Today's web-enabled and virtual approach to medical education is different from the 20th century's Flexner-dominated approach. Now, lectures get less emphasis and more emphasis is placed on learning via early clinical exposure, standardized patients, and other simulations. This article reviews literature on virtual patients (VPs) and their underlying virtual reality technology, examines VPs' potential through the example of psychiatric intake teaching, and identifies promises and perils posed by VP use in medical education.
An Investigation Of Three Subjective Rating Scales Of Mental Workload In Third Level Education,
2019
Technological University Dublin
An Investigation Of Three Subjective Rating Scales Of Mental Workload In Third Level Education, Nha Vu Thanh Nguyen
Dissertations
Mental Workload assessment in educational settings is still recognized as an open research problem. Although its application is useful for instructional design, it is still unclear how it can be formally shaped and which factors compose it. This paper is aimed at investigating a set of features believed to shape the construct of mental workload and aggregating them together in models trained with supervised machine learning techniques. In detail, multiple linear regression and decision trees have been chosen for training models with features extracted respectively from the NASA Task Load Index and the Workload Profile, well-known self-reporting instruments for assessing …
Multi-Sensory Deep Learning Architectures For Slam Dunk Scene Classification,
2019
Technological University Dublin
Multi-Sensory Deep Learning Architectures For Slam Dunk Scene Classification, Paul Minogue
Dissertations
Basketball teams at all levels of the game invest a considerable amount of time and effort into collecting, segmenting, and analysing footage from their upcoming opponents previous games. This analysis helps teams identify and exploit the potential weaknesses of their opponents and is commonly cited as one of the key elements required to achieve success in the modern game. The growing importance of this type of analysis has prompted research into the application of computer vision and audio classification techniques to help teams classify scoring sequences and key events using game footage. However, this research tends to focus on classifying …
Predicting Customer Retention Of An App-Based Business Using Supervised Machine Learning,
2019
Technological University Dublin
Predicting Customer Retention Of An App-Based Business Using Supervised Machine Learning, Jeswin Jose
Dissertations
Identification of retainable customers is very essential for the functioning and growth of any business. An effective identification of retainable customers can help the business to identify the reasons of retention and plan their marketing strategies accordingly. This research is aimed at developing a machine learning model that can precisely predict the retainable customers from the total customer data of an e-learning business. Building predictive models that can efficiently classify imbalanced data is a major challenge in data mining and machine learning. Most of the machine learning algorithms deliver a suboptimal performance when introduced to an imbalanced dataset. A variety …
An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment,
2019
Technological University Dublin
An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment, Mrunal Tipari
Dissertations
One of the key goals of Pedagogy is to assess learning. Various paradigms exist and one of this is Cognitivism. It essentially sees a human learner as an information processor and the mind as a black box with limited capacity that should be understood and studied. With respect to this, an approach is to employ the construct of cognitive load to assess a learner's experience and in turn design instructions better aligned to the human mind. However, cognitive load assessment is not an easy activity, especially in a traditional classroom setting. This research proposes a novel method for evaluating learning …
3d Formation Control In Multi-Robot Teams Using Artificial Potential Fields,
2019
University of Denver
3d Formation Control In Multi-Robot Teams Using Artificial Potential Fields, Sanjana Reddy Mohan
Electronic Theses and Dissertations
Multi-robot teams find applications in emergency response, search and rescue operations, convoy support and many more. Teams of autonomous aerial vehicles can also be used to protect a cargo of airplanes by surrounding them in some geometric shape. This research develops a control algorithm to attract UAVs to one or a set of bounded geometric shapes while avoiding collisions, re-configuring in the event of departure or addition of UAVs and maneuvering in mission space while retaining the configuration. Using potential field theory, weighted vector fields are described to attract UAVs to a desired formation. In order to achieve this, three …
Optimal Design And Planning Of Hybrid Ac/Dc Microgrid,
2019
University of Denver
Optimal Design And Planning Of Hybrid Ac/Dc Microgrid, Hossein Lotfi
Electronic Theses and Dissertations
The traditional approach for microgrid design and deployment has been mainly focused on AC systems. DC microgrids, however, are gaining attention due to numerous advantages they provide over AC microgrids, such as removing the need for synchronization and frequency adjustment as well as appropriateness in supporting DC loads and distributed energy resources (DERs). Moreover, considering that both AC and DC DERs are utilized in microgrids, hybrid microgrids would provide viable and economic solutions as they can potentially eliminate the need for AC-to-DC or DC-to-AC voltage conversions. This dissertation focuses on a hybrid microgrid planning model with the objective of minimizing …
Improvements Of And Extensions To Fsmweb: Testing Mobile Apps,
2019
University of Denver
Improvements Of And Extensions To Fsmweb: Testing Mobile Apps, Ahmed Fawzi Al Haddad
Electronic Theses and Dissertations
A mobile application is a software program that runs on mobile device. In 2017, 178.1 billion mobile apps downloaded and the number is expected to grow to 258.2 billion app downloads in 2022 [19]. The number of app downloads poses a challenge for mobile application testers to find the right approach to test apps. This dissertation extends the FSMWeb approach for testing web applications [50] to test mobile applications (FSMApp). During the process of analyzing FSMWeb how it could be extended to test Mobile Apps, a number of shortcomings were detected which we improved upon. We discuss these first. We …
Protection Of High-Voltage Transformer Bushings And Other Brittle Structures Against Impact,
2019
University of Denver
Protection Of High-Voltage Transformer Bushings And Other Brittle Structures Against Impact, Christine Nichole Henderson
Electronic Theses and Dissertations
This dissertation contributes unique approaches to improve the fundamental understanding of the impact behavior of porcelain high-voltage (HV) transformer bushings under high-velocity impact, with a focus on their protection with feasible methods which could be quickly applied in service to prevent vandalism and other undesirable impact situations. The bushings are brittle and pressurized; prone to explosive damage when hit by a high-velocity projectile. Damaged bushings can destroy transformers and entire substations in complex fashions. This can put the power grid at risk for cascading failures and electrical blackouts, affecting consumers. Therefore, suggesting practical approaches which could be used to protect …
A Policy Mechanism For Federal Recommendation Of Security Standards For Mobile Devices That Conduct Transactions,
2019
University of Denver
A Policy Mechanism For Federal Recommendation Of Security Standards For Mobile Devices That Conduct Transactions, Ariel Huckabay
Electronic Theses and Dissertations
The proliferation of mobile devices in the BRIC countries has prompted them to develop policies to manage the security of these devices. In China, mobile devices are a primary tool for payments. As a result, China instituted in 2017 a cyber security policy that applies to mobile devices giving China broad authority to manage cyber threats. The United States has a similar need for a cyber policy. Mobile devices are likely to become a primary payment tool in the United States soon. DHS has also identified a need for more effective security policy in mobile devices for government operations. This …
Application Of Microgrids In Supporting The Utility Grid,
2019
University of Denver
Application Of Microgrids In Supporting The Utility Grid, Alireza Majzoobi
Electronic Theses and Dissertations
Distributed renewable energy resources have attracted significant attention in recent years due to the falling cost of the renewable energy technology, extensive federal and state incentives, and the application in improving load-point reliability. This growing proliferation, however, is changing the traditional consumption load curves by adding considerable levels of variability and further challenging the electricity supply-demand balance. In this dissertation, the application of microgrids in effectively capturing the distribution network net load variability, caused primarily by the prosumers, is investigated. Microgrids provide a viable and localized solution to this challenge while removing the need for costly investments by the electric …
Detecting Malicious Behavior In Openwrt With Qemu Tracing,
2019
Wright State University
Detecting Malicious Behavior In Openwrt With Qemu Tracing, Jeremy Porter
Browse all Theses and Dissertations
In recent years embedded devices have become more ubiquitous than ever before and are expected to continue this trend. Embedded devices typically have a singular or more focused purpose, a smaller footprint, and often interact with the physical world. Some examples include routers, wearable heart rate monitors, and thermometers. These devices are excellent at providing real time data or completing a specific task quickly, but they lack many features that make security issues more obvious. Generally, Embedded devices are not easily secured. Malware or rootkits in the firmware of an embedded system are difficult to detect because embedded devices do …
[Accepted Article Manuscript Version (Postprint)] Distributed Data-Gathering And -Processing In Smart Cities: An Information-Centric Approach,
2019
New Mexico State University
[Accepted Article Manuscript Version (Postprint)] Distributed Data-Gathering And -Processing In Smart Cities: An Information-Centric Approach, Reza Tourani, Abderrahmen Mtibaa, Satyajayant Misra
Computer Science Faculty Works
The technological advancements along with the proliferation of smart and connected devices (things) motivated the exploration of the creation of smart cities aimed at improving the quality of life, economic growth, and efficient resource utilization. Some recent initiatives defined a smart city network as the interconnection of the existing independent and heterogeneous networks and the infrastructure. However, considering the heterogeneity of the devices, communication technologies, network protocols, and platforms the interoperability of these networks is a challenge requiring more attention. In this paper, we propose the design of a novel Information-Centric Smart City architecture (iSmart), focusing on the demand of …
Knowledge-Enabled Entity Extraction,
2019
Wright State University - Main Campus
Knowledge-Enabled Entity Extraction, Hussein S. Al-Olimat
Browse all Theses and Dissertations
Information Extraction (IE) techniques are developed to extract entities, relationships, and other detailed information from unstructured text. The majority of the methods in the literature focus on designing supervised machine learning techniques, which are not very practical due to the high cost of obtaining annotations and the difficulty in creating high quality (in terms of reliability and coverage) gold standard. Therefore, semi-supervised and distantly-supervised techniques are getting more traction lately to overcome some of the challenges, such as bootstrapping the learning quickly. This dissertation focuses on information extraction, and in particular entities, i.e., Named Entity Recognition (NER), from multiple domains, …
Micro Expression Classification Accuracy Assessment,
2019
University of Ulster
Micro Expression Classification Accuracy Assessment, Pratikshya Sharma, Sonya Coleman, Pratheepan Yogarajah, Laurenc Taggart
Session 1: Active Vision, Tracking, Motion Analysis
The ability to identify and draw appropriate implications from non-verbal cues is a challenging task in facial expression recognition and has been investigated by various disciplines particularly social science, medical science, psychology and technological sciences beyond three decades. Non-verbal cues often last a few seconds and are obvious (macro) whereas others are very short and difficult to interpret (micro). This research is based on the area of micro expression recognition with the main focus laid on understanding and exploring the combined effect of various existing feature extraction techniques and one of the most renowned machine learning algorithms identified as Support …
