Digital Commons Network^™

An Application Of Fuzzy Logic In Urban Traffic Incident Detection, Feda Wasfi Fayez Mustafa

Theses

Traffic congestion in urban areas is an increasing problem around the world. Traffic incidents (such as accidents) are considered as the major source of traffic congestion. Traffic incidents have negative impacts on traffic flow, air pollution and fuel consumption. As a result, increasing interest in finding new techniques to deal with this issue has been shown. Traffic incident-management systems can decrease the effect of such events and keep roads capacity as close as possible to normal levels. Incident detection system is an important part of any incident management system. This thesis proposes a new approach to incident detection in urban …

Building Crowd Movement Model Using Sample-Based Mobility Survey, Larry J. J. Lin, Shih-Fen Cheng, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Crowd simulation is a well-studied topic, yet it usually focuses on visualization. In this paper, we study a special class of crowd simulation, where individual agents have diverse backgrounds, ad hoc objectives, and non-repeating visits. Such crowd simulation is particularly useful when modeling human agents movement in leisure settings such as visiting museums or theme parks. In these settings, we are interested in accurately estimating aggregate crowd-related movement statistics. As comprehensive monitoring is usually not feasible for a large crowd, we propose to conduct mobility surveys on only a small group of sampled individuals. We demonstrate via simulation that we …

Active Crowdsourcing For Annotation, Shuji Hao, Chunyan Miao, Steven C. H. Hoi, Peilin Zhao

Research Collection School Of Computing and Information Systems

Crowdsourcing has shown great potential in obtaining large-scale and cheap labels for different tasks. However, obtaining reliable labels is challenging due to several reasons, such as noisy annotators, limited budget and so on. The state-of-the-art approaches, either suffer in some noisy scenarios, or rely on unlimited resources to acquire reliable labels. In this article, we adopt the learning with expert~(AKA worker in crowdsourcing) advice framework to robustly infer accurate labels by considering the reliability of each worker. However, in order to accurately predict the reliability of each worker, traditional learning with expert advice will consult with external oracles~(AKA domain experts) …

Hierarchical Segmentation Of The Malawi Rift: The Influence Of Inherited Lithospheric Heterogeneity And Kinematics In The Evolution Of Continental Rifts, Daniel A. Lao-Davila, Haifa S. Al-Salmi, Mohamed G. Abdel Salam, Estella A. Atekwana

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

We used detailed analysis of Shuttle Radar Topography Mission-digital elevation model and observations from aeromagnetic data to examine the influence of inherited lithospheric heterogeneity and kinematics in the segmentation of largely amagmatic continental rifts. We focused on the Cenozoic Malawi Rift, which represents the southern extension of the Western Branch of the East African Rift System. This north trending rift traverses Precambrian and Paleozoic-Mesozoic structures of different orientations. We found that the rift can be hierarchically divided into first-order and second-order segments. In the first-order segmentation, we divided the rift into Northern, Central, and Southern sections. In its Northern Section, …

President’S Newsletter, Jean Bartels

President's Newsletter

No abstract provided.

Instrumental Music Participation And The Differences In Academic Performances For Students In Poverty, Shawn A. Oban

Theses and Dissertations

Because of the emphasis on No Child Left Behind and high stakes testing, school districts and administrators have been limiting or eliminating fine arts courses from an already shrinking curriculum, focusing on the subjects being tested. Students living in poverty are often entering formal schooling behind academically.

The researcher examined longitudinal test data from 2010-2015 from middle school aged students in a large Midwest school district. The researcher focused on test scores from the sixth grade when instrumental music was offered, examined test data from tenth grade, and studied academic growth. All student scores were included, but the independent variables …

Extended Lindley Poisson Distribution, Mavis Pararai, Gayan Warahena-Liyanage, Broderick O. Oluyede

Mathematical Sciences: Faculty Publications

The Extended Lindley Poisson (ELP) distribution which is an extension of the extended Lindley distribution [2] is introduced and its properties are explored. This new distribution represents a more flexible model for the lifetime data. Some statistical properties of the proposed distribution including the shapes of the density, hazard rate functions, moments, Bonferroni and Lorenz curves are explored. Entropy measures and the distribution of the order statistics are given. The maximum likelihood estimation technique is used to estimate the model parameters and a simulation study is conducted to investigate the performance of the maximum likelihood estimates. Finally, we present applications …

Professional Learning Communities As A Professional Development Model Focusing On Instructional Practices Used To Teach Writing In Early Childhood, Jill T. Leonard

Electronic Theses and Dissertations

The purpose of this qualitative case study was to explore the implementation of a Professional Learning Community (PLC) as a professional development model effective in altering teachers‘ perceptions of their knowledge and skill in teaching developmental writing in grades K-3. This research is necessary to examine how offering teachers collaborative support needed for understanding and implementing research-based best practice approaches to teach developmental writing strengthens the quality of instructional practice necessary to meet rigorous standards being imparted from Common Core Standards. Through the development of a PLC, teachers have an opportunity for collaborating within the school building, which provides optimal …

Predicting Intraday Financial Market Dynamics Using Takens' Vectors; Incorporating Causality Testing And Machine Learning Techniques, Abubakar-Sadiq Bouda Abdulai

Electronic Theses and Dissertations

Traditional approaches to predicting financial market dynamics tend to be linear and stationary, whereas financial time series data is increasingly nonlinear and non-stationary. Lately, advances in dynamical systems theory have enabled the extraction of complex dynamics from time series data. These developments include theory of time delay embedding and phase space reconstruction of dynamical systems from a scalar time series. In this thesis, a time delay embedding approach for predicting intraday stock or stock index movement is developed. The approach combines methods of nonlinear time series analysis with those of causality testing, theory of dynamical systems and machine learning (artificial …

On Properties Of RW-Regular Graphs, Franklina Samani

Electronic Theses and Dissertations

If every vertex in a graph G has the same degree, then the graph is called a regular graph. That is, if deg(v) = r for all vertices in the graph, then it is denoted as an r-regular graph. A graph G is said to be vertex-weighted if all of the vertices are assigned weights. A generalized definition for degree regularity for vertex-weighted graphs can be stated as follows: A vertex-weighted graph is said to be r_w-regular if the sum of the weights in the neighborhood of every vertex is r_w. If all vertices are assigned …

Nurse Educators' Transition To Flipped Classroom: An Interpretive Description Study, Jean S. Bernard

Electronic Theses and Dissertations

To meet learning needs of current undergraduate nursing students, and respond to mandates for bettered prepared graduates, nurse educators must restructure curricula and teaching strategies. One strategy garnering increased attention is the flipped classroom model (FCM). This form of instruction requires students to have access to and be accountable for lecture material on their own time, and then use face-to-face classroom time for interactive learning that can include discussion, case study analysis, or application of pre-class lecture content. Although the FCM has gained popularity, few researchers have fully studied this strategy or considered experiences of faculty who implement the model. …

Identities And Motives Of Naturalist Development Program Attendees And Their Relation To Professional Careers, Jennifer A. Mraz

Dissertations

In recent years, there has been much concern over the decline of biologists who actually identify themselves to be naturalists, which negatively impacts the field of conservation and the study of biology as a whole. This could result in a decrease in individuals who participate in naturalist-like activities, such as informal environmental education and environmental volunteerism. The purpose of my study was to determine what discourse identities were held by naturalist development program participants, how these discourse identities related to their volunteer motives in environmental settings, and how discourse identity related to professional careers. I defined identity through the lens …

Investigating The Impact Of Reflexive Practices On College Students In A Science Laboratory Course, Chandrani Mishra

Dissertations

Emphasis on professional practices to develop students’ professionalism is currently a major focus of higher education. Studies have shown the benefits of reflexive practices in classroom to facilitate the development of students’ professional attitude or identity in some fields. Reflexive practices involve students in self-reflection where he/she reflects on his/her own actions. Little investigation about the benefits of reflexive practices in the development of students’ scientific identity in a science class led to my investigation. Development of a scientific identity of students and their overall interest and motivation in science is deemed essential for retaining students in STEM fields.

My …

Teacher Professional Learning And High School Students' Mississippi Subject Area Test Performance, Christine A. Moseley

Dissertations

The purpose of this study was to determine if there was any significant relationship between specific elements of professional learning and students’ performance on the state mandated Mississippi Subject Area Testing Program (SATP2). The study includes the design qualities of professional learning, the level of teacher involvement in the professional learning process, teacher beliefs regarding professional learning, and perceived administrative support of professional learning programs. The researcher utilized an original survey instrument entitled Professional Learning Design and Perception to gather quantitative data for the study. High school teachers of Algebra I, Biology I, English II, and U. S. History in …

Linear Programming-Based Estimators In Nonnegative Autoregression, Daniel P. A. Preve

Research Collection School Of Economics

This note studies robust estimation of the autoregressive (AR) parameter in a nonlinear, nonnegative AR model. It is shown that a linear programming estimator (LPE), considered by Nielsen and Shephard (2003) among others, remains consistent under severe model misspecification. Consequently, the LPE can be used to seek sources of misspecification and to isolate certain trend, seasonal or cyclical components. Simple and quite general conditions under which the LPE is strongly consistent in the presence of heavy-tailed, serially correlated, heteroskedastic disturbances are given, and a brief review of the literature on LP-based estimators in nonnegative autoregression is presented. Finite-sample properties of …

Adaptive Nonparametric Regression With Conditional Heteroskedasticity, Sainan Jin, Liangjun Su, Zhijie Xiao

Research Collection School Of Economics

In this paper, we study adaptive nonparametric regression estimation in the presence of conditional heteroskedastic error terms. We demonstrate that both the conditional mean and conditional variance functions in a nonparametric regression model can be estimated adaptively based on the local profile likelihood principle. Both the one-step Newton-Raphson estimator and the local profile likelihood estimator are investigated. We show that the proposed estimators are asymptotically equivalent to the infeasible local likelihood estimators [e.g., Aerts and Claeskens (1997) Journal of the American Statistical Association 92, 1536-1545], which require knowledge of the error distribution. Simulation evidence suggests that when the distribution of …

Investigation Of Groundwater Quality Of Al Hayer Area, (North Of Al Ain City) Using Hydro Geochemical Approach, Mohammed Hosny Ibrahim Gadalla

Theses

Al Hayer is located in the northeast of Al Ain area, Eastern region of the United Arab Emirates. Groundwater abstraction for domestic, agricultural and industrial uses has led to major depletion in the aquifer resulting in groundwater quality deterioration. This study aims to identify the factors affecting the groundwater quality in this area, and to determine the recharge mechanism for the study area to understand the behaviour of major ions in regional groundwater by using hydrogeochemical and isotopic approaches. The hydrochemical analysis of 37 collected samples of groundwater revealed that the groundwater is characterized by moderate salinity and high concentrations …

Assessment Of Current And Future Generated Selected E-Waste Quantities In Abu Dhabi, Khaleel Ibrahim Al Nasseri This

Theses

E-waste is a term used to describe electrical and electronic products that enter the waste stream. Currently, it is the fastest growing stream of municipal waste. Informal disposal of E-waste may cause serious health and pollution problems to humans as well as the environment. Although E-waste may represent less than 5% of the total waste discarded into landfills, yet it includes more than 70% of overall toxic waste. Not only the exact amount of E-waste generated in the UAE is unknown, but it is continuously increasing with the advent of new electronic products. Therefore, the main aim of this thesis …

Accelerated Fog Removal From Real Images For Car Detection, Rawan Ibrahim Khader Younis

Theses

Image de-hazing improves the visual quality of images in computer vision applications, such as object detection and object tracking. Fog removal from car photos taken by street cameras is considered essential to accurate car detection. An accelerated image enhancement technique is presented for car detection as part of an effort to count cars using existing street cameras for the purpose of traffic management. Two aspects of car detection are tackled: 1) An existing image fog removal technique is accelerated by replacing a time consuming image filter with a faster filter while maintaining negligible image degradation, 2) A quick and practical …

Hierarchical Control Strategies For Heaving Wave Energy Converters, Omsalama Mubarak Mohamed Saeed

Theses

This thesis concerned with developing control strategies for a heaving sea wave Energy converter. The objective of this study is to improve captured and converted. Power. In heaving wave energy converters using a robust hierarchical control strategy. This strategy consists of higher and lower hierarchical controller. The higher controller provide a reference velocity signal, whereas the lower one follows the reference despite the uncertainties in the model. In this thesis, two novel methods for the higher controller are proposed. The objective of the first method is to design the intrinsic resistance that maximizes the captured power while considering the constraint …

Designing Eye Tracking Algorithm For Partner-Assisted Eye Scanning Keyboard For Physically Challenged People, Zeenat S. Al-Kassim

Theses

The proposed research work focuses on building a keyboard through designing an algorithm for eye movement detection using the partner-assisted scanning technique. The study covers all stages of gesture recognition, from data acquisition to eye detection and tracking, and finally classification. With the presence of many techniques to implement the gesture recognition stages, the main objective of this research work is implementing the simple and less expensive technique that produces the best possible results with a high level of accuracy. The results, finally, are compared with similar works done recently to prove the efficiency in implementation of the proposed algorithm. …

Virtual Screening Of Phytochemicals For Cancer Therapy, Asma Ahmad Al Haddad

Theses

Cancer is one of the leading cause of deaths in the world. Vast majority of contemporary cancer therapies have side effects. Dietary plants and plant-based products have been shown to reduce the severity of the condition with minimal or no side effects. However, the precise molecular interactions that lead to this are largely unknown. In this study, several target proteins in cancer pathways were chosen and a collection of chemical derived from plants, or phytochemicals, were virtually screened in silico using molecular docking techniques. Furthermore, the docking modes were subjected to extended molecular dynamics (MD) simulations. The pharmacokinetic properties of …

From Dye Sensitized Solar Cells To Organic Field Effect Transistors: A Computational Investigation Into The Structural And Electronic Properties Of Novel Phthalocyanines, Patrick J. Dwyer

Seton Hall University Dissertations and Theses (ETDs)

Phthalocyanines (Pc) have gained intense research attention in many diverse application areas due to their highly tunable electronic and structural properties through modification of the molecular periphery and metal center. Throughout this work a series of novel perfluoro-isopropyl substituted MPc have been investigated through theoretical methods. First, the synthetic mechanisms of these Pcs will be explored to gain insight into the experimentally observed Pc product distribution. By examining the electronic structure and formation energies of the various Pc precursors, we explain the product distribution as well as propose the formation of additional Pcs, which were not currently believed to form. …

Understanding Psychophysiological Correlates Of User Experience Using Electroencephalogram (Eeg), Fiona Fui-Hoon Nah, Keng Siau, Randall Minas, Nathan W. Twyman, Nicholas A. Rollins, Wenbo Wang, Xi Wang

Research Collection School Of Computing and Information Systems

The objective of this research is to understand psychophysiological correlates of user experience using electroencephalogram (EEG). We will conduct an experimental study to assess the psychophysiological differences across three states of user experience – flow, boredom, and anxiety – and compare them with the neutral state as a baseline. EEG measurement provides a plethora of data that can be decomposed using different analytical procedures. We will utilize one type of analysis, timefrequency decomposition, to examine changes in frequency (e.g., alpha/beta/theta band) over time. These frequency bands correlate with different cognitive states. In this study, we will use Event Related Spectral …

A Benchmark And Comparative Study Of Video-Based Face Recognition On Cox Face Database, Zhiwu Huang, S. Shan, R. Wang, H. Zhang, S. Lao, A. Kuerban, X. Chen

Research Collection School Of Computing and Information Systems

Face recognition with still face images has been widely studied, while the research on video-based face recognition is inadequate relatively, especially in terms of benchmark datasets and comparisons. Real-world video-based face recognition applications require techniques for three distinct scenarios: 1) Videoto-Still (V2S); 2) Still-to-Video (S2V); and 3) Video-to-Video (V2V), respectively, taking video or still image as query or target. To the best of our knowledge, few datasets and evaluation protocols have benchmarked for all the three scenarios. In order to facilitate the study of this specific topic, this paper contributes a benchmarking and comparative study based on a newly collected …

A Misspecification Test For Logit Based Route Choice Models, Tien Mai, Emma Frejinger, Fabian Bastin

Research Collection School Of Computing and Information Systems

The multinomial logit (MNL) model is often used for analyzing route choices in real networks in spite of the fact that path utilities are believed to be correlated. Yet, statistical tests for model misspecification are rarely used. This paper shows how the information matrix test for model misspecification proposed byWhite (1982) can be applied to test path-based and link-based MNL route choice models.We present a Monte Carlo experiment using simulated data to assess the size and the power of the test and to compare its performance with the IIA (Hausman and McFadden, 1984) and McFadden–Train Lagrange multiplier (McFadden and Train, …

Preface Iat 2015, Ah-Hwee Tan, Yuefeng Li, Ee-Peng Lim, An Bo, Anita Raja, Sarvapali Ramchurn

Research Collection School Of Computing and Information Systems

This volume contains the papers selected for presentation at the 2015 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’15), which was held from 6 to 9 December 2015 in Singapore, a city which welcomes people from different parts of the world to work and play. Following the tradition of IAT conference in previous years, IAT’15 was collocated with 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI’15). Both WI’15 and IAT’15 were sponsored by the IEEE Computer Society, Web Intelligence Consortium (WIC), Association for Computing Machinery (ACM), and the Memetic Computing Society. The two collocated conferences were hosted by the Joint …

Progressive Sequence Matching For Adl Plan Recommendation, Shan Gao, Di Wang, Ah-Hwee Tan, Chunyan Miao

Research Collection School Of Computing and Information Systems

Activities of Daily Living (ADLs) are indicatives of a person’s lifestyle. In particular, daily ADL routines closely relate to a person’s well-being. With the objective of promoting active lifestyles, this paper presents an agent system that provides recommendations of suitable ADL plans (i.e., selected ADL sequences) to individual users based on the more active lifestyles of the others. Specifically, we develop a set of quantitative measures, named wellness scores, spanning the evaluation across the physical, cognitive, emotion, and social aspects based on his or her ADL routines. Then we propose an ADL sequence learning model, named Recommendation ADL ART, or …

Content-Based Visual Landmark Search Via Multimodal Hypergraph Learning, Lei Zhu, Jialie Shen, Hai Jin, Ran Zheng, Liang Xie

Research Collection School Of Computing and Information Systems

While content-based landmark image search has recently received a lot of attention and became a very active domain, it still remains a challenging problem. Among the various reasons, high diverse visual content is the most significant one. It is common that for the same landmark, images with a wide range of visual appearances can be found from different sources and different landmarks may share very similar sets of images. As a consequence, it is very hard to accurately estimate the similarities between the landmarks purely based on single type of visual feature. Moreover, the relationships between landmark images can be …

Robust Execution Strategies For Project Scheduling With Unreliable Resources And Stochastic Durations, Na Fu, Hoong Chuin Lau, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

The resource-constrained project scheduling problem with minimum and maximum time lags (RCPSP/max) is a general model for resource scheduling in many real-world problems (such as manufacturing and construction engineering). We consider RCPSP/max problems where the durations of activities are stochastic and resources can have unforeseen breakdowns. Given a level of allowable risk, (Formula presented.), our mechanisms aim to compute the minimum robust makespan execution strategy. Robust makespan for an execution strategy is any makespan value that has a risk less than (Formula presented.). The risk for a makespan value, (Formula presented.) given an execution strategy, is the probability that a …