Digital Commons Network^™

Active Filter Modelling To Mitigate Harmonics Generated By Electric Vehicle Chargers, Fasalu Rahman Puthiyottil

Electrical Engineering Theses

The Automotive industry is going through a rapid transformation to adopt electrified technology. A major share of the electrified vehicles is going to be in the Battery electric vehicles (BEVs) and plug in hybrids segments that need to connect to the grid to recharge the batteries. For customer convenience, the time required for fully charging the battery need to be brought down significantly. EV charging stations are getting installed that could bring down the charging time to less than 30 minutes. However this pose a unique issue to the power quality of the utility grid. During charging, the EV charging …

Data-Driven Predictive Maintenance Scheduling Policies For Railways, Pedro Cesar Lopes Gerum, Ayca Altay, Melike Baykal-Gürsoy

Supply Chain Management

Inspection and maintenance activities are essential to preserving safety and cost-effectiveness in railways. However, the stochastic nature of railway defect occurrence is usually ignored in literature; instead, defect stochasticity is considered independently of maintenance scheduling. This study presents a new approach to predict rail and geometry defects that relies on easy-to-obtain data and integrates prediction with inspection and maintenance scheduling activities. In the proposed approach, a novel use of risk-averse and hybrid prediction methodology controls the underestimation of defects. Then, a discounted Markov decision process model utilizes these predictions to determine optimal inspection and maintenance scheduling policies. Furthermore, in the …

Size Matters: The Impact Of Training Size In Taxonomically-Enriched Word Embeddings, Alfredo Maldonado, Filip Klubicka, John D. Kelleher

Articles

Word embeddings trained on natural corpora (e.g., newspaper collections, Wikipedia or the Web) excel in capturing thematic similarity (“topical relatedness”) on word pairs such as ‘coffee’ and ‘cup’ or ’bus’ and ‘road’. However, they are less successful on pairs showing taxonomic similarity, like ‘cup’ and ‘mug’ (near synonyms) or ‘bus’ and ‘train’ (types of public transport). Moreover, purely taxonomy-based embeddings (e.g. those trained on a random-walk of WordNet’s structure) outperform natural-corpus embeddings in taxonomic similarity but underperform them in thematic similarity. Previous work suggests that performance gains in both types of similarity can be achieved by enriching natural-corpus embeddings with …

The Effect Of Teacher Professional Development On Implementing Engineering In Elementary Schools, Teresa Porter, Meg E. West, Rachel L. Kajfez, Kathy L. Malone, Karen E. Irving

Journal of Pre-College Engineering Education Research (J-PEER)

Increased attention on the implementation of engineering education into elementary school classrooms aims to start preparing students early for potential engineering careers. In order to efficiently and effectively add engineering concepts to the curriculum, appropriate development and facilitation of engineering design challenges are required. Therefore, professional development programs are necessary to educate teachers about engineering and how to adequately teach it. This paper explores the effects of an engineering professional development program for practicing teachers. The program included training elementary teachers about how to implement units from Engineering is Elementary (EiE) by the Science Museum of Boston into their classes. …

Safety Assessment Based On Fahp For Marine Traffic Of Important Channel Waters, Qiang Liu

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

Simulation Of A Trained Trained Neural Network Of A Fuzzy Logic Regulation System Based On The Cotton Drying Process, S. T. Yunusova

Technical science and innovation

The article discusses the modeling of a fuzzy-logical system of regulation of the process of drying of raw cotton. The tasks of overcoming uncertainties arising in the process of operation of technological units at the enterprises of the cotton-cleaning industry are presented. An example of solving such a problem by using an artificial neural network is given. Mathematical models based on the neural network have been developed that are used to formalize the process of drying raw cotton and determine the optimal tuned parameters of the fuzzy-logical PID controller, allowing the fate of changing the operating modes of the technological …

More Buildings Make More Generalizable Models—Benchmarking Prediction Methods On Open Electrical Meter Data, Clayton Miller

Research Collection College of Integrative Studies

Prediction is a common machine learning (ML) technique used on building energy consumption data. This process is valuable for anomaly detection, load profile-based building control and measurement and verification procedures. Hundreds of building energy prediction techniques have been developed over the last three decades, yet there is still no consensus on which techniques are the most effective for various building types. In addition, many of the techniques developed are not publicly available to the general research community. This paper outlines a library of open-source regression techniques from the Scikit-Learn Python library and describes the process of applying them to open …

User Syndication Using Speech Rhythm, Faisal Z H Alnahhas

Civil Engineering Theses - Archive

In recent years we have seen a variety of approaches to increase security on computers and mobile devices including fingerprint, and facial recognition. Such techniques while effective are very expensive. Voice biometrics, specifically speech rhythm, is a method that has been drawing attention and growing in recent years. Unlike other methods, it requires little to no additional hardware installed on a device for it to work accurately. Speech rhythm utilizes the device's built-in microphone, and analyzes speakers based on features of their speech. In this work we leverage the existing hardware and simply add an efficient layer of software to …

An Explainable Recommender System Based On Semantically-Aware Matrix Factorization., Mohammed Sanad Alshammari

Electronic Theses and Dissertations

Collaborative Filtering techniques provide the ability to handle big and sparse data to predict the ratings for unseen items with high accuracy. Matrix factorization is an accurate collaborative filtering method used to predict user preferences. However, it is a black box system that recommends items to users without being able to explain why. This is due to the type of information these systems use to build models. Although rich in information, user ratings do not adequately satisfy the need for explanation in certain domains. White box systems, in contrast, can, by nature, easily generate explanations. However, their predictions are less …

Fake Review Detection Using Data Mining, Md Forhad Hossain

Graduate Theses/Dissertations

Online spam reviews are deceptive evaluations of products and services. They are often carried out as a deliberate manipulation strategy to deceive the readers. Recognizing such reviews is an important but challenging problem. In this work, I try to solve this problem by using different data mining techniques. I explore the strength and weakness of those data mining techniques in detecting fake review. I start with different supervised techniques such as Support Vector Ma- chine (SVM), Multinomial Naive Bayes (MNB), and Multilayer Perceptron. The results attest that all the above mentioned supervised techniques can successfully detect fake review with more …

Cognitive Satellite Communications And Representation Learning For Streaming And Complex Graphs., Wenqi Liu

Electronic Theses and Dissertations

This dissertation includes two topics. The first topic studies a promising dynamic spectrum access algorithm (DSA) that improves the throughput of satellite communication (SATCOM) under the uncertainty. The other topic investigates distributed representation learning for streaming and complex networks. DSA allows a secondary user to access the spectrum that are not occupied by primary users. However, uncertainty in SATCOM causes more spectrum sensing errors. In this dissertation, the uncertainty has been addressed by formulating a DSA decision-making process as a Partially Observable Markov Decision Process (POMDP) model to optimally determine which channels to sense and access. Large-scale networks have attracted …

Incremental Processing For Improving Conversational Grounding In A Chatbot, Aprajita Shukla

Boise State University Theses and Dissertations

Current Digital Personal Assistants can be quite efficient while performing routine tasks like setting up reminders and looking up information. However, they do not attempt to establish common ground–the process of establishing and building mutual understanding–and require a significant amount of initial data to learn how to understand user intent. In this thesis, an incremental processing framework is leveraged through a chatbot interface which updates its understanding state at each inputted word, asks the user to clarify input when the system is unsure and prompts user to give feedback several times during an interaction, all of which are instrumental in …

Strategies For Prioritizing Needs For Accelerated Construction After Hazard Events, Fernando Moreu, Chao Wang, Xinxing Yuan, Laleh Ghanbari, Claudia Garrido

Publications

There is a need for rapid and responsive infrastructure repair and construction after natural disaster events such as hurricanes, wildfires, and tornadoes. These natural disasters often shut down basic infrastructure systems, as experienced recently in several Region 6 states as well as in other states around the country. Accelerated construction practices are often used in these situations to speed up the traditional, and often slow, project delivery process. However, after a natural disaster, several and different types of transportation infrastructure components are in need of inspection, rehabilitation or reconstruction, and transportation agencies are challenged with the task of prioritizing these …

The Design And Implementation Of Aida: Ancient Inscription Database And Analytics System, M. Parvez Rashid

School of Computing: Dissertations, Theses, and Student Research

AIDA, the Ancient Inscription Database and Analytic system can be used to translate and analyze ancient Minoan language. The AIDA system currently stores three types of ancient Minoan inscriptions: Linear A, Cretan Hieroglyph and Phaistos Disk inscriptions. In addition, AIDA provides candidate syllabic values and translations of Minoan words and inscriptions into English. The AIDA system allows the users to change these candidate phonetic assignments to the Linear A, Cretan Hieroglyph and Phaistos symbols. Hence the AIDA system provides for various scholars not only a convenient online resource to browse Minoan inscriptions but also provides an analysis tool to explore …

Measuring Congestion For Strategic Highway Investment For Tomorrow (Shift) Implementation (Pl-32), Mei Chen, Xu Zhang, Fahmida Rahman, Jacob Brashear, Reginald R. Souleyrette

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) has moved toward a data-driven decision-making process, the Strategic Highway Investment Formula for Tomorrow (SHIFT), to allocate funds for highway improvement projects. SHIFT requires that candidate projects be scored on five critical metrics: safety, asset management, congestion, economic growth, and benefit/cost analysis.

The measure of congestion used in SHIFT 2018 was a combination of volume-to-service flow ratio (VSF) and design hourly volume (DHV). VSF is a traditional performance measure developed based on limited data, primarily for sketch planning purposes. However, it does not accurately reflect the dynamics of traffic congestion of many facilities.

This report …

Developing 5gl Concepts From User Interactions, David Stuckless Meyer

Masters Theses

In the fulfilling of the contracts generated in Test Driven Development, a developer could be said to act as a constraint solver, similar to those used by a 5th Generation Language(5GL). This thesis presents the hypothesis that 5GL linguistic mechanics, such as facts, rules and goals, will be emergent in the communications of developer pairs performing Test Driven Development, validating that 5GL syntax is congruent with the ways that practitioners communicate. Along the way, nomenclatures and linguistic patterns may be observed that could inform the design of future 5GL languages.

Selection Of Marine Security Policyusing Fuzzy-Ahp Topsis Hybrid Approach, Hozairi Hozairi, Buhari Buhari, Heru Lumaksono, Marcus Tukan

Knowledge Engineering and Data Science

The research was focused on the integration of Fuzzy set theory with Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to choose the optimum maritime security policy to achieve Indonesia recognition as the world's maritime axis. The method used is AHP with fuzzy based enhancement. Here, the weight of each criterion is calculated to overcome the criticism of the scale of unbalanced rating, uncertainty, and inaccuracy in the pairwise of comparison process. The best recommendation for Indonesian maritime policies is multi task single agency which is greatly infuenced by several factors such as …

A Content Analysis Of Thirty Children’S Picture Books About Ecology, Natalia Martín Martín, Jennifer L. Hageman, Sarah E. Montgomery, Audrey C. Rule

Journal of STEM Arts, Crafts, and Constructions

This study presents a content analysis of 30 ecology-themed children’s picture books published in English and Spanish from 1994 to the present. Books were analyzed for the following aspects: 1) Nature appreciation, 2) Interrelatedness of Nature, 3) Realistic ecology problem, 4) Differing perspectives, 5) Hope for a solution, 6) Reflection and responsibility, 7) Steps for a solution, 8) Positive tone, 9) Representation of diversity, 10) Appropriate illustrations, 11) Story appeal, and 12) Developmental appropriateness. Scoring guidelines are provided in an appendix. Content analysis results revealed that most books raise awareness about the impact of human action on the environment, although …

A Survey On Software Cost Estimation Techniques, Sai Mohan Reddy Chirra, Hassan Reza

Computer Science Faculty Publications

The ability to accurately estimate the cost needed to complete a specific project has been a challenge over the past decades. For a successful software project, accurate prediction of the cost, time and effort is a very much essential task. This paper presents a systematic review of different models used for software cost estimation which includes algorithmic methods, non-algorithmic methods and learning-oriented methods. The models considered in this review include both the traditional and the recent approaches for software cost estimation. The main objective of this paper is to provide an overview of software cost estimation models and summarize their …

Amplifying The Collective Intelligence Of Teams With Swarm Ai, David Askay, Lynn E. Metcalf, Louis B. Rosenberg, Gregg Willcox, David Baltaxe

Industrial Technology and Packaging

Group decision-making is strengthened by the varied knowledge and perspectives that each member brings, yet teams often fail to capitalize on their diversity. This paper describes how Swarm AI, a novel collaborative intelligence technology modeled on the decision-making process of honey bee swarms, enables networked human groups to more effectively leverage their combined insights. Through an empirical study conducted on 60 small teams, each of 3 to 6 members, we demonstrate the capacity of Swarm AI to significantly amplify the collective intelligence of human groups. A well-known testing instrument—the Reading the Mind in the Eyes (RME) test —was used to …

Cost-Benefit Analysis Of Studying Spanish And Construction In Tandem, Daniel Joseph Eide

Construction Management

Does Spanish bilingualism have measurable fiscal value in the U.S. construction industry? Studying and becoming proficient in Spanish is feasible, affordable, and can be accomplished at Cal Poly in conjunction with a Construction Management major. In a dynamic industry that values versatile employees, where communication is key to success, the capability of speaking Spanish is a substantial value-add in the workforce. Using qualitative and quantitative data analysis, it is concluded that individuals who possess English and Spanish-speaking abilities in the U.S. construction industry can expect a 3 percent wage premium when compared to English-only speakers. This study weighs the costs …

Difference Between Algorithmic Processing And The Process Of Lifeworld (Lebenswelt), Domenico Schneider

Computer Ethics - Philosophical Enquiry (CEPE) Proceedings

The following article compares the temporality of the life-world with the digital processing. The temporality of the life-world is determined to be stretched and spontaneous. The temporality of the digital is given by discrete step-by-step points of time. Most ethical issues can be traced back to a mismatch of these two ways of processing. This creates a foundation for the ethics of the digital processing. Methodologically, phenomenological considerations are merged with media-philosophical considerations in the article.

Legal And Technical Issues For Text And Data Mining In Greece, Maria Kanellopoulou - Botti, Marinos Papadopoulos, Christos Zampakolas, Paraskevi Ganatsiou

Computer Ethics - Philosophical Enquiry (CEPE) Proceedings

Web harvesting and archiving pertains to the processes of collecting from the web and archiving of works that reside on the Web. Web harvesting and archiving is one of the most attractive applications for libraries which plan ahead for their future operation. When works retrieved from the Web are turned into archived and documented material to be found in a library, the amount of works that can be found in said library can be far greater than the number of works harvested from the Web. The proposed participation in the 2019 CEPE Conference aims at presenting certain issues related to …

Approaches To Understanding The Function Of Intrinsic Activity And Its Relationship To Task-Evoked Activity In The Human Brain, Dohyun Kim

McKelvey School of Engineering Graduate Student Theses & Dissertations

Traditionally neuroscience research has focused on characterizing the topography and patterns of brain activation evoked by specific cognitive or behavioral tasks to understand human brain functions. This activation-based paradigm treated underlying spontaneous brain activity, a.k.a. intrinsic activity, as noise hence irrelevant to cognitive or behavioral functions. This view, however, has been profoundly modified by the discovery that intrinsic activity is not random, but temporally correlated at rest in widely distributed spatiotemporal patterns, so called resting state networks (RSN). Studies of temporal correlation of spontaneous activity among brain regions, or functional connectivity (FC), have yielded important insights into the network organization …

Twitter And Disasters: A Social Resilience Fingerprint, Benjamin A. Rachunok, Jackson B. Bennett, Roshanak Nateghi

Purdue University Libraries Open Access Publishing Fund

Understanding the resilience of a community facing a crisis event is critical to improving its adaptive capacity. Community resilience has been conceptualized as a function of the resilience of components of a community such as ecological, infrastructure, economic, and social systems, etc. In this paper, we introduce the concept of a “resilience fingerprint” and propose a multi-dimensional method for analyzing components of community resilience by leveraging existing definitions of community resilience with data from the social network Twitter. Twitter data from 14 events are analyzed and their resulting resilience fingerprints computed. We compare the fingerprints between events and show that …

Identifying Fake News Using Emotion Analysis, Brady Gilleran

Computer Science and Computer Engineering Undergraduate Honors Theses

This paper presents research applying Emotional Analysis to “Fake News” and “Real News” articles to investigate whether or not there is a difference in the emotion used in these two types of news articles. The paper reports on a dataset for Fake and Real News that we created, and the natural language processing techniques employed to process the collected text. We use a lexicon that includes predefined words for eight emotions (anger, anticipation, disgust, fear, surprise, sadness, joy, trust) to measure the emotional impact in each of these eight dimensions. The results of the emotion analysis are used as features …

Service Life Prediction And Risk Analysis Of Reinforced Concrete Gravity Flow Pipes Using Reliability Theory, Khaled Saleh Abuhishmeh

Civil Engineering Theses - Archive

Reinforced concrete pipes are susceptible to different types of deteriorations that threaten their structural capacity and serviceability. Failure of these structures or losing parts of their operational capabilities may cause undesirable consequences that affect the surrounding environment, public health and the economy. The main objectives of this research are to estimate the service life, and to evaluate the level of risk of reinforced concrete sewer pipes (RCP) that are under persistent chemical deterioration caused by the sulfide attack that leads to excessive erosion along the pipe’s interior wall. In order to estimate the service life, reliability theory is used by …

The Role Of Emotional Expression In Accessing Social Networks: The Case Of Newcomers' Blogs, Michael J. Hine, Luciara Nardon, Daniel Gulanowski

Journal of International Technology and Information Management

Research has established the critical role of social networks in facilitating adjustment to foreign environments. Increasingly, social interactions are happening through computer mediated technology. This paper explores the role of emotional expression in newcomers’ blogs in developing and interacting with social networks in a new country. This research uses a dictionary-based text analytics approach to detect emotional expression in newcomers’ blog posts and their associated discussions. Blog posts with more emotional expression had more associated responses; discussions tended to be more positive than posts; and the relative amount of negative emotion in the discussions increases as posts become more negative. …

Measuring Effectiveness Of A Virtual Team In The Automotive Workplace, David Alexander Bruce Hopkins

Graduate Theses - Engineering Management

Advanced communication technology is streamlining the way that we create and share data in business practices. The days of paper documentation that is boxed up in a warehouse for dozens of years (due to regulation) are passing. Concurrently, operational teams in the world of business, manufacturing, and engineering are becoming more and more dispersed with international time and space boundaries being dissolved. The reliance on virtual teams to conduct and execute business tasks is growing and the nature of such is changing, possibly affecting team effectiveness. This integrated project explores a team of supplier quality engineers working in the automotive …

Smart Home Audio Assistant, Xipeng Wang

All Computer Science and Engineering Research

This report introduces an audio processing algorithm. It provides a way to access smart devices using audio. Although there are many audio assistants already on the market, most of them will not be able to control the smart devices. Therefore, this new system presented in this report will provide a way to analysis the customer’s questions. Then the algorithm will be able to query smart device information, modify the schedule or provide the reason for some arrangement.