Digital Commons Network^™

Triangular Cubic Hesitant Fuzzy Einstein Hybrid Weighted Averaging Operator And Its Application To Decision Making, Florentin Smarandache, Aliya Fahmi, Fazli Amin, Madad Khan, Nasruddin Hassan

Branch Mathematics and Statistics Faculty and Staff Publications

In this paper, triangular cubic hesitant fuzzy Einstein weighted averaging (TCHFEWA) operator, triangular cubic hesitant fuzzy Einstein ordered weighted averaging (TCHFEOWA) operator and triangular cubic hesitant fuzzy Einstein hybrid weighted averaging (TCHFEHWA) operator are proposed. An approach to multiple attribute group decision making with linguistic information is developed based on the TCHFEWA and the TCHFEHWA operators. Furthermore, we establish various properties of these operators and derive the relationship between the proposed operators and the existing aggregation operators. Finally, a numerical example is provided to demonstrate the application of the established approach

Gis To Address Questions In Forest Ecology And Management, Nicolas Picard

Purdue GIS Day

Geographic Information Systems (GIS) are powerful tools to deal with spatialized issues. As such, they have become routine tools in forestry to delimit forest resources, support the design of forest inventories, map forest resources, and analyze, model and support decision making to sustainably manage forests. Two examples will be provided to show how forest management can benefit from progress in GIS technology. The first one deals with the optimization of forest roads to harvest trees in tropical rainforests. It required the development of heuristics to solve the multiple target access problem in a reasonable time. The second one deals with …

A Correlational Study Of Academic Locus Of Control, Study Preparation, And The Praxis Ii, Elizabeth Polzin

Dissertations

For school counseling candidates, the culmination of the pathway to state certification and/or licensure lies in a passing score on a standardized test. Within the state of Missouri, this test is the Praxis II. Within the state of Missouri, an achievement gap on the pass rates of the Praxis II existed between Caucasian and African American students. Participants in this study, both male and female, attended a Midwestern, private university and spanned a wide range of ages, all older than 20 years. The participant population included African American and Caucasian students. This dissertation sought to explore potential contributors to the …

My Laptop Takes Forever, Now What!, Eric Adams

Purdue GIS Day

ITAP Research Computing's Data Workbench offers researchers access to an interactive computing environment for non-batch big data analysis and simulation. Researchers who outgrow their local computing resources can benefit from the extra computing power that Data Workbench offers without jumping directly into the High-Performance Computing clusters.

In this presentation, we will discuss the details of Data Workbench, file storage options including the Data Depot and how to transfer large files reliably with the Globus research data management service.

Vortex Structures Inside Spherical Mesoscopic Superconductor Plus Magnetic Dipole, A. Ludu

Publications

We investigate the existence of multivortex states in a superconducting mesoscopic sphere with a magnetic dipole placed at the center. We obtain analytic solutions for the order parameter inside the sphere through the linearized Ginzburg-Landau (GL) model, coupled with mixed boundary conditions, and under regularity conditions and decoupling coordinates approximation. The solutions of the linear GL equation are obtained in terms of Heun double confluent functions, in dipole coordinates symmetry. The analyticity of the solutions and the associated eigenproblem are discussed thoroughly. We minimize the free energy for the fully nonlinear GL system by using linear combinations of linear analytic …

An Interpretable Neural Fuzzy Inference System For Predictions Of Underpricing In Initial Public Offerings, Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou

Research Collection School Of Computing and Information Systems

Due to their aptitude in both accurate data processing and human comprehensible reasoning, neural fuzzy inference systems have been widely adopted in various application domains as decision support systems. Especially in real-world scenarios such as decision making in financial transactions, the human experts may be more interested in knowing the comprehensive reasons of certain advices provided by a decision support system in addition to how confident the system is on such advices. In this paper, we apply an integrated autonomous computational model termed genetic algorithm and rough set incorporated neural fuzzy inference system (GARSINFIS) to predict underpricing in initial public …

Aligning Technical Debt Prioritization With Business Objectives: A Multiple-Case Study, Rodrigo Rebouças De Almeida, Uirá Kulesza, Christoph Treude, D’Angellys Cavalcanti Feitosa, Aliandro Higino Guedes Lima

Research Collection School Of Computing and Information Systems

Technical debt (TD) is a metaphor to describe the trade-off between short-term workarounds and long-term goals in software development. Despite being widely used to explain technical issues in business terms, industry and academia still lack a proper way to manage technical debt while explicitly considering business priorities. In this paper, we report on a multiple-case study of how two big software development companies handle technical debt items, and we show how taking the business perspective into account can improve the decision making for the prioritization of technical debt. We also propose a first step toward an approach that uses business …

Autospearman: Automatically Mitigating Correlated Software Metrics For Interpreting Defect Models, Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude

Research Collection School Of Computing and Information Systems

The interpretation of defect models heavily relies on software metrics that are used to construct them. However, such software metrics are often correlated in defect models. Prior work often uses feature selection techniques to remove correlated metrics in order to improve the performance of defect models. Yet, the interpretation of defect models may be misleading if feature selection techniques produce subsets of inconsistent and correlated metrics. In this paper, we investigate the consistency and correlation of the subsets of metrics that are produced by nine commonly-used feature selection techniques. Through a case study of 13 publicly-available defect datasets, we find …

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 …

Phase Contrast Time-Lapse Microscopy Datasets With Automated And Manual Cell Tracking Annotations, Dai Fei Elmer Ker, Zhaozheng Yin, For Full List Of Authors, See Publisher's Website.

Computer Science Faculty Research & Creative Works

Phase contrast time-lapse microscopy is a non-destructive technique that generates large volumes of image-based information to quantify the behaviour of individual cells or cell populations. To guide the development of algorithms for computer-aided cell tracking and analysis, 48 time-lapse image sequences, each spanning approximately 3.5 days, were generated with accompanying ground truths for C2C12 myoblast cells cultured under 4 different media conditions, including with fibroblast growth factor 2 (FGF2), bone morphogenetic protein 2 (BMP2), FGF2 + BMP2, and control (no growth factor). The ground truths generated contain information for tracking at least 3 parent cells and their descendants within these …

Erosion Rate Equations For Coarse- Grained Materials Using A Small Flume Testing, Ghada Ellithy, Johannes L. Wibowo, Maureen K. Corcoran

Publications

Erosion rate of soils during a levee or dam overtopping event is a major component in risk assessment evaluation of breach time and consequently in determining the downstream consequences. There is uncertainty in estimation of the erosion rate especially for coarsegrained materials that comprise the outer shell layer of dams as well as homogenous levees that are constructed of such materials. In this paper, erosion rate results are presented on three soil mixes that share the same median grain size D50 of 2 mm, the fines content varies between zero and 20%, and the gravel content between zero and 30%. …

Dsm: A Specification Mining Tool Using Recurrent Neural Network Based Language Model, Tien-Duy B. Le, Lingfeng Bao, David Lo

Research Collection School Of Computing and Information Systems

Formal specifications are important but often unavailable. Furthermore, writing these specifications is time-consuming and requires skills from developers. In this work, we present Deep Specification Miner (DSM), an automated tool that applies deep learning to mine finite-state automaton (FSA) based specifications. DSM accepts as input a set of execution traces to train a Recurrent Neural Network Language Model (RNNLM). From the input traces, DSM creates a Prefix Tree Acceptor (PTA) and leverages the inferred RNNLM to extract many features. These features are then forwarded to clustering algorithms for merging similar automata states in the PTA for assembling a number of …

Using Finite-State Models For Log Differencing, Hen Amar, Lingfeng Bao, Nimrod Busany, David Lo, Shahar Maoz

Research Collection School Of Computing and Information Systems

Much work has been published on extracting various kinds of models from logs that document the execution of running systems. In many cases, however, for example in the context of evolution, testing, or malware analysis, engineers are interested not only in a single log but in a set of several logs, each of which originated from a different set of runs of the system at hand. Then, the difference between the logs is the main target of interest. In this work we investigate the use of finite-state models for log differencing. Rather than comparing the logs directly, we generate concise …

Unsupervised User Identity Linkage Via Factoid Embedding, Wei Xie, Xin Mu, Roy Ka Wei Lee, Feida Zhu, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

User identity linkage (UIL), the problem of matching user account across multiple online social networks (OSNs), is widely studied and important to many real-world applications. Most existing UIL solutions adopt a supervised or semisupervised approach which generally suffer from scarcity of labeled data. In this paper, we propose Factoid Embedding, a novel framework that adopts an unsupervised approach. It is designed to cope with different profile attributes, content types and network links of different OSNs. The key idea is that each piece of information about a user identity describes the real identity owner, and thus distinguishes the owner from other …

Jobsense: A Data-Driven Career Knowledge Exploration Framework And System, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo

Research Collection School Of Computing and Information Systems

Today’s job market sees rapid changes due to technology and business model disruptions. To fully tap on one’s potential in career development, one has to acquire job and skill knowledge through working on different jobs. Another approach is to seek consultation with career coaches who are trained to offer career advice in various industry sectors. The above two approaches, nevertheless, suffer from several shortcomings. The on-the-job career development approach is highly inefficient for today’s fast changing job market. The latter career coach assisted approach could help to speed up knowledge acquisition but it relies on expertise of career coaches but …

Ucc Minutes, November 2018, University Curriculum Council

UCC Agendas/Minutes

No abstract provided.

Analyzing Codon Usage And Coding Sequence Length Biases Across The Tree Of Life, Justin B. Miller

Theses and Dissertations

Although codon usage bias has been shown to persist through non-random mutations and selection, many avenues of research into the applications of codon usage bias have remained unexplored. In this dissertation, we present several new applications of codon usage bias and their practical uses in a phylogenetic construct. We first review the literature and provide background into other software applications of codon usage bias in Chapter 1. In Chapter 2, we show that in tetrapods, codon aversion in orthologs is phylogenetically conserved. We further this analysis in Chapter 3 by exploring codon use and aversion across the Tree of Life, …

Financial Evaluation For A Brazilian Airline To Conduct Aeronautical Components Repair In Brazil, Ana Moreno Sandoval, Enzo Canavesi Luizetto, Joao Paulo Panssiera, Klaus Goulart Brum

Graduate Student Works

The current economic world volatility, as well as the increasing cost of fuel and security procedures established by the worldwide authorities, force the air carriers to search for alternatives to reduce their operational costs. The maintenance costs are a significant subject for the air carriers, therefore, any cost reduction obtained without maintenance service disruption, may provide an opportunity to enhance the airline competitiveness (Fritzsche, 2014).

The purpose of this research is to evaluate and compare the technical and financial aspects of performing aircraft components repair in house for a Brazilian airline versus outsourcing the servicing to a homologated company outside …

Development And Utilization Of 3d Printed Material For Thoracotomy Simulation, Evan Yates, Roger Chirurgi, Frosso Adamakos, Rania Habal, Rajnish Jaiswal, Hossein Kalantari, Getaw W. Hassen

NYMC Faculty Publications

Medical simulation is a widely used training modality that is particularly useful for procedures that are technically difficult or rare. The use of simulations for educational purposes has increased dramatically over the years, with most emergency medicine (EM) programs primarily using mannequin-based simulations to teach medical students and residents. As an alternative to using mannequin, we built a 3D printed models for practicing invasive procedures. Repeated simulations may help further increase comfort levels in performing an emergency department (ED) thoracotomy in particular, and perhaps this can be extrapolated to all invasive procedures. Using this model, a simulation training conducted with …

The Basics Of Clinical Trial Centralized Monitoring, Adam Beauregard, Vadim Tantsyura, Fernand Labrie

NYMC Faculty Publications

No abstract provided.

A Statistical Analysis Of Steve, Bea Gallardo‐Lacourt, Y. Nishimura, E. Donovan, G. W. Gillies, W. E. Archer, Omar A. Nava, E. L. Spanswick

Faculty Publications

There has been an exciting recent development in auroral research associated with the discovery of a new subauroral phenomenon called STEVE (Strong Thermal Emission Velocity Enhancement). Although STEVE has been documented by amateur night sky watchers for decades, it is as yet an unidentified upper atmosphere phenomenon. Observed first by amateur auroral photographers, STEVE appears as a narrow luminous structure across the night sky over thousands of kilometers in the east‐west direction. In this paper, we present the first statistical analysis of the properties of 28 STEVE events identified using Time History of Events and Macroscale Interactions during Substorms (THEMIS) …

On The Origin Of Crystallinity: A Lower Bound For The Regularity Radius Of Delone Sets, Igor A. Baburin, Mikhail M. Bouniaev, Nikolay Dolbilin, Nikolay Yu. Erokhovets, Alexey Garber, Sergey V. Krivovichev, Egon Schulte

School of Mathematical & Statistical Sciences Faculty Publications

The mathematical conditions for the origin of long-range order or crystallinity in ideal crystals are one of the very fundamental problems of modern crystallography. It is widely believed that the (global) regularity of crystals is a consequence of `local order', in particular the repetition of local fragments, but the exact mathematical theory of this phenomenon is poorly known. In particular, most mathematical models for quasicrystals, for example Penrose tiling, have repetitive local fragments, but are not (globally) regular. The universal abstract models of any atomic arrangements are Delone sets, which are uniformly distributed discrete point sets in Euclidean d space. …

Isar Autofocus Imaging Algorithm For Maneuvering Targets Based On Phase Retrieval And Gabor Wavelet Transform, Hongyin Shi, Ting Yang, Zhijun Qiao

School of Mathematical & Statistical Sciences Faculty Publications

The imaging issue of a rotating maneuvering target with a large angle and a high translational speed has been a challenging problem in the area of inverse synthetic aperture radar (ISAR) autofocus imaging, in particular when the target has both radial and angular accelerations. In this paper, on the basis of the phase retrieval algorithm and the Gabor wavelet transform (GWT), we propose a new method for phase error correction. The approach first performs the range compression on ISAR raw data to obtain range profiles, and then carries out the GWT transform as the time-frequency analysis tool for the rotational …

Sensitivity Analysis Using Approximate Moment Condition Models, Timothy B. Armstrong, Michal Kolesár

Cowles Foundation Discussion Papers

We consider inference in models defined by approximate moment conditions. We show that near-optimal confidence intervals (CIs) can be formed by taking a generalized method of moments (GMM) estimator, and adding and subtracting the standard error times a critical value that takes into account the potential bias from misspecification of the moment conditions. In order to optimize performance under potential misspecification, the weighting matrix for this GMM estimator takes into account this potential bias, and therefore differs from the one that is optimal under correct specification. To formally show the near-optimality of these CIs, we develop asymptotic efficiency bounds for …

Modeling Association In Microbial Communities With Clique Loginear Models, Adrian Dobra, Camilo Valdes, Dragana Ajdic, Bertrand S. Clarke, Jennifer Clarke

Department of Mathematics: Faculty Publications

There is a growing awareness of the important roles that microbial communities play in complex biological processes. Modern investigation of these often uses next generation sequencing of metagenomic samples to determine community composition. We propose a statistical technique based on clique loglinear models and Bayes model averaging to identify microbial components in a metagenomic sample at various taxonomic levels that have significant associations. We describe the model class, a stochastic search technique for model selection, and the calculation of estimates of posterior probabilities of interest. We demonstrate our approach using data from the Human Microbiome Project and from a study …

Gender And Labor Markets In Tunisia's Lagging Regions, Lucie Hanmer, Edinaldo Tebaldi, Dorte Verner

Economics Faculty Book Publications

No abstract provided.

Graduate Nurse Perceptions Of Effectiveness Of Prelicensure Education On Medication Administration, Renee M. Mielke

All Theses And Dissertations

This cross-sectional descriptive survey examined nurse graduates’ perceptions of the efficacy of their educational experiences in preparing them to administer medications safely. Situated cognition provided organization for the study design and analysis. Data were obtained from a cohort of nursing graduates from a community college in south central Michigan using a two-step online and paper survey method. Respondents included 24 nurse graduates from the college of study. Data analysis from the researcher-designed survey revealed learning environments, activities and tools considered to be realistic to nursing practice are considered more effective for learning safe medication practices. Graduate respondents may feel effectively …

Assessment Of Groundwater Quality In The Al Khatim And Remah Area Of The United Arab Emirates, Qasim Raza Khan

Civil and Environmental Theses

Groundwater constitutes an important part of the available water resources in arid areas. Knowledge of the quantitative and qualitative status of groundwater is a key aspect in optimal groundwater management. The chemical characteristics of groundwater in two neighboring areas (Remah and Al Khatim) have been used to identify the processes controlling groundwater chemistry in the sand aquifer of Abu Dhabi Emirate, United Arab Emirates. Furthermore, the suitability of the groundwater for agricultural purposes was assessed using a range of indices. Both areas showed elevated levels of nitrate, potassium and cadmium, indicating the impact of agricultural activities. The groundwater was found …

Nondeterministic Finite Automata Correspond To Deterministic Ones, Doug Baldwin, James Jasinski, Matt Klein, Jack Mcalevey, Ian Parks, Susanna Rohe, Praveen Wakwella, John Wilson, Kevin Wojick

Computability OER

No abstract provided.

Search For Higgs Boson Pair Production In The Γγbb‾ Final State In Pp Collisions At S=13tev, Cms Collaboration, J. G. Acosta, S. Oliveros

Faculty and Student Publications (Open Access)

No abstract provided.