Digital Commons Network^™

Method Of Solving Incorrect Tasks Formed By Construction Of Fuzzy Models Assessing The Weakly Formallized Processes., D.T Muxamediyeva, X.A Primova

Chemical Technology, Control and Management

The article examines the improvement of the method for obtaining a fuzzy and fuzzy-stable solution to incorrect problems arising in the construction of a model for estimating the state of weakly formalizable processes using various membership functions based on the theory of fuzzy sets. The proposed method makes it possible to construct a correct fuzzy model of weakly formalizable processes.

Construction Of Fuzzy Risk Assessment Models., T.F Bekmuratov, B.T Solieva

Chemical Technology, Control and Management

The tasks of making decisions on risk assessment, depending on the conditions of uncertainty, are divided into two types: decision-making tasks under conditions where the initial data are stochastic; decision-making tasks under conditions when the initial data are of a non-stochastic nature, and the necessary confidence limits for the parameters of the processes under investigation are unknown or unclear. In problems of the second type, risks are manifested to a greater extent than the first, since in solving problems it is necessary to take into account not only statistical uncertainty, but also linguistic. At the same time, one should consider …

Facility Location Problem By Using Fuzzy Topsis Method., Kamala. Aliyeva

Chemical Technology, Control and Management

Facility location problems are long-term decision making problems for selection best geographical location to begin the operations of a new facility or for expansion of existing facilities. These are strategic investment decision including many factors that may be inconsistent in nature. To solve this problems, some alternatives based on different criteria’s need to be selected. To make a decision on such fuzzy problems, fuzzy multiple criteria decision making can be applied. In this paper, fuzzy multiple criteria decision making with TOPSIS and weighted product (WP) methods is used to select the best location of company facility. The results of solving …

Occurrent System Of Assessment Of Quality Of Corporate Information Computing Network., M. Sapaev, Z.Z Nigmatov, M.O Atajonov, Х.А Bahrieva

Chemical Technology, Control and Management

The article analyzes the corporate network quality assessment. In the work questions of an estimation of qualitative indicators of corporate information-computed networks on the basis of neural networks are given. The main indicators are: information delay and packet loss. To evaluate the quality of the network, the use of a fuzzy model is proposed. A modeling algorithm for assessing the quality of a corporate information network is developed. The reliability of the proposed approach was verified with the help of a simulation system implemented with MatLab

A Z-Number Valued Analytical Hierarchy Process., Lala M. Zeinalova

Chemical Technology, Control and Management

The Z-number concept is the attempt to model real-world uncertainty and relates to the issue of reliability of information, especially in the realms of economics and decision analysis. In this paper, we present an approach that can handle Z-numbers in the context of multi-criteria decision-making applying direct computations. In this paper we consider an Anаlytical Hierarchy Process based on Z-number valuations, taking into account the uncertаinty of the experts` opinion in estimаtion of the options. We considered a case of estimation of technical institutions with 7 criteria: campus infrastructure, faculty, students, academic ambience, teaching learning process, use of advance teaching …

Optimization Of Forecast Of Non-Stationary Objects Based On Fuzzy Model Adapters At External Information Influence., O.I Djumanov, S.M Kholmonov

Chemical Technology, Control and Management

The tasks of taking into account the sensitivity of fuzzy modeling based on the mechanisms for determining the range of elements of randomly chosen time series and the correction of the parameters of the functions of the accessories of linguistic variables, the use of the data property and the specific features of objects, the database and the knowledge base are solved. Computational schemes of dynamic identification based on polynomial models, nonlinear filters with fuzzy variable adapters are constructed. The effectiveness of generalized algorithms of fuzzy identification of randomly time series (RTS) is proved by comparison with the values of the …

Expanding The Possibilities Of Instruments To Improve The Information Reliability Of Electronic Documents Of Industrial Management Systems., I.I Jumanov, Kh.B Karshiev

Chemical Technology, Control and Management

The possibilities of tools to increase the reliability of the transmission of electronic documents in industrial control systems for use in various subject areas of data processing optimization are explored and expanded. A semantic search hyperset was designed, a software and algorithmic complex was implemented, which demonstrated an improvement in the reliability of information compared to existing technologies.

The Problem Of Phasification Of The Parameters Of The Storage Process Of A Sportshead Oil Raw Material When Building A Fuzzy Regulator., N.A Kabulov

Chemical Technology, Control and Management

the article proposes an automated intelligent process control system for the storage of perishable oilseed raw materials based on phase-control. To solve the problem of phasing the process parameters, the modified Saaty method is used. In order to optimize the description, the obtained membership functions were approximated in the Maple symbolic mathematics package.

Effective Methods And Tools For Mining App Store Reviews, Nishant Jha

LSU Doctoral Dissertations

Research on mining user reviews in mobile application (app) stores has noticeably advanced in the past few years. The main objective is to extract useful information that app developers can use to build more sustainable apps. In general, existing research on app store mining can be classified into three genres: classification of user feedback into different types of software maintenance requests (e.g., bug reports and feature requests), building practical tools that are readily available for developers to use, and proposing visions for enhanced mobile app stores that integrate multiple sources of user feedback to ensure app survivability. Despite these major …

Three-Dimensional Forming Of Multi-Layered Materials: Material Heat Response And Quality Aspects, Sami-Seppo Ovaska, Pavel Geydt, Ville Leminen, Johanna Lyytikäinen, Sami Matthews, Panu Tanninen, Malte Wallmeier, Marek Hauptmann, Kaj Backfolk

Journal of Applied Packaging Research

The micro- and macrostructural changes occurring in multi-layered substrates during three-dimensional forming were studied by atomic force microscopy (AFM), scanning electron microscopy (SEM) and optical analyses. Particular attention was paid to heat-induced deformations at the interface between of polymeric coating layer and the paperboard. With excessive heat transfer, occasional delamination of polyethylene terephthalate (PET) coating from the paperboard was observed. The mechanism behind delamination was studied in detail in-situ with an AFM at temperatures relevant to the converting process. Based on the analysis, the delamination could partially be linked to the widening of the initially-existing nano-scale cracks at the coating-paperboard …

Uncovering The Hidden Factors That Could Compromise Equitable And Effective Engineering Education, Idalis Villanueva, Janice Mejia, Renata A. Revelo

Engineering Education Faculty Publications

Literacies are central to the social and cultural practices that are intertwined with identities, who gets to participate in engineering, and the knowledge that is valued in the discipline. However, identifying these literacies is not a straightforward process for engineering faculty. The purpose of this workshop is to help engineering faculty identify equity- oriented literacies that challenge hidden curriculum frameworks in engineering and influence engineering identity formation.

Writing For Engineers, Susan Delamare

Open Educational Resources

No abstract provided.

Critical Theoretical Frameworks In Engineering Education: An Anti-Deficit And Liberative Approach, Joel A. Mejia, Renata A. Revelo, Idalis Villanueva, Janice Mejia

Engineering Education Faculty Publications

The field of engineering education has adapted different theoretical frameworks from a wide range of disciplines to explore issues of education, diversity, and inclusion among others. The number of theoretical frameworks that explore these issues using a critical perspective has been increasing in the past few years. In this review of the literature, we present an analysis that draws from Freire’s principles of critical andragogy and pedagogy. Using a set of inclusion criteria, we selected 33 research articles that used critical theoretical frameworks as part of our systematic review of the literature. We argue that critical theoretical frameworks are necessary …

Tourism Review Sentiment Classification Using A Bidirectional Recurrent Neural Network With An Attention Mechanism And Topic-Enriched Word Vectors, Qin Li, Shaobo Li, Jie Hu, Sen Zhang, Jianjun Hu

Faculty Publications

Sentiment analysis of online tourist reviews is playing an increasingly important role in tourism. Accurately capturing the attitudes of tourists regarding different aspects of the scenic sites or the overall polarity of their online reviews is key to tourism analysis and application. However, the performances of current document sentiment analysis methods are not satisfactory as they either neglect the topics of the document or do not consider that not all words contribute equally to the meaning of the text. In this work, we propose a bidirectional gated recurrent unit neural network model (BiGRULA) for sentiment analysis by combining a topic …

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …

Computational Thinking And Literacy, Sharin Rawhiya Jacob, Mark Warschauer

Journal of Computer Science Integration

Today’s students will enter a workforce that is powerfully shaped by computing. To be successful in a changing economy, students must learn to think algorithmically and computationally, to solve problems with varying levels of abstraction. These computational thinking skills have become so integrated into social function as to represent fundamental literacies. However, computer science has not been widely taught in K-12 schools. Efforts to create computer science standards and frameworks have yet to make their way into mandated course requirements. Despite a plethora of research on digital literacies, research on the role of computational thinking in the literature is sparse. …

Exploring The Relationship Between Online Discourse And Commitment In Twitter Professional Learning Communities, Wanli Xing, Fei Gao

Visual Communications and Technology Education Faculty Publications

Educators show great interest in participating in social-media communities, such as Twitter, to support their professional development and learning. The majority of the research into Twitter-based professional learning communities has investigated why educators choose to use Twitter for professional development and learning and what they actually do in these communities. However, few studies have examined why certain community members remain committed and others gradually drop out. To fill this gap in the research, this study investigated how some key features of online discourse influenced the continued participation of the members of a Twitter-based professional learning community. More than 600,000 tweets …

A Practical Incremental Learning Framework For Sparse Entity Extraction, Hussein Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, Amit Sheth

Publications

This work addresses challenges arising from extracting entities from textual data, including the high cost of data annotation, model accuracy, selecting appropriate evaluation criteria, and the overall quality of annotation. We present a framework that integrates Entity Set Expansion (ESE) and Active Learning (AL) to reduce the annotation cost of sparse data and provide an online evaluation method as feedback. This incremental and interactive learning framework allows for rapid annotation and subsequent extraction of sparse data while maintaining high accuracy. We evaluate our framework on three publicly available datasets and show that it drastically reduces the cost of sparse entity …

Unpacking Shame As Experienced By Three White Male Engineering Students, Kanembe Shanachilubwa

McNair Scholars Research

The following is a cross-sectional examination of an ongoing investigation of shame in the context of engineering education. White male junior level engineering students were recruited to participate in individual interviews centered around their experiences and expectations as undergraduates. The study sought to investigate how these students experienced shame within the context of engineering education using interpretative phenomenological analysis (IPA) as the research method. As the current results and finding only represent three fully analyzed cases out of five total, broad and definitive conclusions about the study group will be withheld. Instead, I will give each of the three represented …

Advanced Recurrent Network-Based Hybrid Acoustic Models For Low Resource Speech Recognition, Jian Kang, Wei-Qiang Zhang, Wei-Wei Liu, Jia Liu, Michael T. Johnson

Electrical and Computer Engineering Faculty Publications

Recurrent neural networks (RNNs) have shown an ability to model temporal dependencies. However, the problem of exploding or vanishing gradients has limited their application. In recent years, long short-term memory RNNs (LSTM RNNs) have been proposed to solve this problem and have achieved excellent results. Bidirectional LSTM (BLSTM), which uses both preceding and following context, has shown particularly good performance. However, the computational requirements of BLSTM approaches are quite heavy, even when implemented efficiently with GPU-based high performance computers. In addition, because the output of LSTM units is bounded, there is often still a vanishing gradient issue over multiple layers. …

Development Of Graduate Attributes In Civil Engineering In Dit - Provisional Methodology, Caitriona Quinn

Other resources

1.1 The Questions

Question 1: What is the student experience as they participate in knowledge during the Design Project, particularly in relation to development of Graduate Attributes?

The intent behind this question is to examine the module and its effectiveness from the perspective of those taking the module, the students. It is postulated that the transformative experience will result in development of relevant graduate attributes.

Question 2: To what extent dodelivery and assessment within this module contribute to the development of Graduate Attributes?

The intent behind this again is to more closely examine how the module's current design, content, delivery …

The Use Of Recommender Systems In Web Applications – The Troi Case, Donjeta Mulaj

Theses and Dissertations

Avoiding digital marketing, surveys, reviews and online users behavior approaches on digital age are the key elements for a powerful businesses to fail, there are some systems that should preceded some artificial intelligence techniques. In this direction, the use of data mining for recommending relevant items as a new state of the art technique is increasing user satisfaction as well as the business revenues. And other related information gathering approaches in order to our systems thing and acts like humans. To do so there is a Recommender System that will be elaborated in this thesis. How people interact, how to …

Improving Seaglider Efficiency: An Analysis Of Wing Shapes, Hull Morphologies, And Propulsion Methods, Christopher James Hockley

Doctoral Dissertations and Master's Theses

Autonomous underwater gliders are a family of autonomous underwater vehicles used for long-term observation of oceanic environments. These gliders leverage changes in buoyancy and the resulting vertical motion, to generate forward locomotion via hydrodynamic surfaces. In order to function for extended periods, these systems operate in a low-speed, low-drag regime. This research examines factors impacting the operational efficiencies of gliders, including morphological changes, configuration changes, and propulsion. An interesting question arises when considering the operational efficiencies of conventionally propelled systems at the operating speeds typical of gliders. Can a conventional propulsion system match the efficiency of an underwater glider buoyancy …

Experience Constructing The Artifact Genome Project (Agp): Managing The Domain's Knowledge One Artifact At A Time, Cinthya Grajeda, Laura Sanchez, Ibrahim Baggili, Devon R. Clark, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

While various tools have been created to assist the digital forensics community with acquiring, processing, and organizing evidence and indicating the existence of artifacts, very few attempts have been made to establish a centralized system for archiving artifacts. The Artifact Genome Project (AGP) has aimed to create the largest vetted and freely available digital forensics repository for Curated Forensic Artifacts (CuFAs). This paper details the experience of building, implementing, and maintaining such a system by sharing design decisions, lessons learned, and future work. We also discuss the impact of AGP in both the professional and academic realms of digital forensics. …

Characterizing Common And Domain-Specific Package Bugs: A Case Study On Ubuntu, Xiaoxue Ren, Qiao Huang, Xin Xia, Zhenchang Xing, Lingfeng Bao, David Lo

Research Collection School Of Computing and Information Systems

Ubuntu is an open source software platform that runs everywhere from the smartphone, the tablet and the PC to the server and the cloud. In Ubuntu, there are many self-contained or third-party software packages for different use, and a bug report in Ubuntu could affect one or more packages simultaneously. Identifying the common package bugs in Ubuntu can help both developers and users better understand the packages they are developing or using, and also provide further guidelines to developers of similar packages in the future. In this paper, we perform a large-scale empirical study of common package bugs on Ubuntu …

Model-Less Fuzzy Logic Control For The Nasa Modeling And Control For Agile Aircraft Development Program, Keith A. Benjamin

Electrical & Computer Engineering Theses & Dissertations

The NASA Modeling and Control for Agile Aircraft Development (MCAAD) program seeks to develop new ways to control unknown aircraft to make the aircraft development cycle more efficient. More specifically, there is a desire to control an aircraft with an unknown mathematical model using only first principles of flight. In other words, rather than using a rigorously developed mathematical model combined with wind-tunnel tests, a controller is sought which would allow one to bypass the development of a rigorous mathematical model and enter wind-tunnel testing more directly. This paper presents the design of a fuzzy PID controller, governed by a …

Mathematical Simulation And Development Of The System Of Control Of Processes Of Rectification Of Compounds In Production Of Ethyl Alcohol, Yu.Sh Avazov

Chemical Technology, Control and Management

A mathematical description of the process of rectification of multicomponent mixtures is given, and dynamic models for the operation of individual sections of a typical rectification column are obtained, and a structurally parametric synthesis of an invariant control system is performed on this basis. The generalized algorithm of process control by rectification of multicomponent mixtures is substantiated. The technique for determining the membership function by the method of pairwise comparisons is described and models for controlling the stochastic process of rectification of multicomponent mixtures based on fuzzy logic are obtained.

Methods Of Optimizing Data Processing Based On Fuzzy Correction Of Time Series Elements And Variable Identification Models, I.I Jumanov, Z.T Bekmurodov

Chemical Technology, Control and Management

The problem of optimal identification and processing of random time series (RTS) based on the use of the property of statistical, dynamic, fuzzy models is formulated. A method for the qualitative identification of RTS is proposed, including algorithms for fuzzy equations, logical conclusions, taking into account the effects of environmental factors and the nonstationarity of processes. A generalized algorithm for identifying the RTS with regulation and correction of variables values based on fuzzy logic rules, ways of searching for extrema by norms and -norms is developed. Designed tools for optimal data processing by determining the appropriate model; parametric and structural …

What Does Hidden Curriculum In Engineering Look Like And How Can It Be Explored?, Idalis Villanueva, Laura Gelles, Marialuisa Di Stefano, Buffy Smith, Renetta G. Tull, Susan M. Lord, Lisa Benson, Anne Therese Hunt, Donna M. Riley, Gery W. Ryan

Engineering Education Faculty Publications

This work in progress paper describes the initial stages of a project which aims to characterize the mechanisms of hidden curriculum (HC) in engineering and identify methods for exploring this phenomenon. To effectively study the complex nature of HC, this work brings together researchers with a range of expertise (sociology, engineering education, engineering, statistics, policy analysis, curriculum and instruction) to develop a holistic approach to explore HC in engineering. This work describes the process of gathering input from this multidisciplinary team as well as the literature to develop a mixed-method instrument and model to explore the mechanisms behind HC in …

Ethical Regulation Of Medical Experiments On Humans, Nick Awertschenko

Dartmouth Undergraduate Journal of Science

No abstract provided.