Digital Commons Network^™

How Often Are Antibiotic-Resistant Bacteria Said To “Evolve” In The News?, Nina Singh, Matthew T. Sit, Deanna M. Chung, Ana A. Lopez, Ranil Weerackoon, Pamela J. Yeh

Department of Statistics: Faculty Publications

Media plays an important role in informing the general public about scientific ideas.We examine whether the word “evolve,” sometimes considered controversial by the general public, is frequently used in the popular press. Specifically, we ask how often articles discussing antibiotic resistance use the word “evolve” (or its lexemes) as opposed to alternative terms such as “emerge” or “develop.” We chose the topic of antibiotic resistance because it is a medically important issue; bacterial evolution is a central player in human morbidity and mortality. We focused on the most widely-distributed newspapers written in English in the United States, United Kingdom, Canada, …

Comparison Of Formulations Of Applied Tasks With Interval, Fuzzy Set And Probability Approaches, Boris Kovalerchuk, Vladik Kreinovich

Departmental Technical Reports (CS)

The focus of this paper is to clarify the concepts of solutions in linear equations in interval, probabilistic and fuzzy sets setting for real word tasks. There is a fundamental difference between formal definitions of the solutions and physically meaningful concept of solution in applied tasks when equations have uncertain components. For instance, a formal definition of the solution in terms of Moore interval analysis can be completely irrelevant for solving a real world task. We show that formal definitions must follow meaningful concept of the solution in the real world. The paper proposed several formalized definitions of the concept …

Knowledge Driven Search Intent Mining, Ashutosh Jadhav

Browse all Theses and Dissertations

Understanding users' latent intents behind search queries is essential for satisfying a user's search needs. Search intent mining can help search engines to enhance its ranking of search results, enabling new search features like instant answers, personalization, search result diversification, and the recommendation of more relevant ads. Hence, there has been increasing attention on studying how to effectively mine search intents by analyzing search engine query logs. While state-of-the-art techniques can identify the domain of the queries (e.g. sports, movies, health), identifying domain-specific intent is still an open problem. Among all the topics available on the Internet, health is one …

What's In A Name? A Critical Review Of Definitions Of Quantitative Literacy, Numeracy, And Quantitative Reasoning, Gizem Karaali, Edwin H Villafane Hernandez '18, Jeremy Alexander Taylor '18

Pomona Faculty Publications and Research

This article aims to bring together various threads in the eclectic literature that make up the scholarship around the theme of Quantitative Literacy. In investigating the meanings of terms like "quantitative literacy," "quantitative reasoning," and "numeracy," we seek common ground, common themes, common goals and aspirations of a community of practitioners. A decade ago, these terms were relatively new in the public sphere; today policy makers and accrediting agencies are routinely inserting them into general education conversations. Having good, representative, and perhaps even compact and easily digestible definitions of these terms might come in handy in public relations contexts as …

Voting Aggregation Leads To (Interval) Median, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

When we have several results of measuring or estimating the same quantities, it is desirable to aggregate them into a single estimate for the desired quantities. A natural requirement is that if the majority of estimates has some property, then the aggregate estimate should have the same property. It turns out that it is not possible to require this forall possible properties -- but we can require it for bounds, i.e., for properties that the value of the quantity is in between given bounds a and b. In this paper, we prove that if we restrict the …

Bytewise Approximate Matching: The Good, The Bad, And The Unknown, Vikram S. Harichandran, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

Hash functions are established and well-known in digital forensics, where they are commonly used for proving integrity and file identification (i.e., hash all files on a seized device and compare the fingerprints against a reference database). However, with respect to the latter operation, an active adversary can easily overcome this approach because traditional hashes are designed to be sensitive to altering an input; output will significantly change if a single bit is flipped. Therefore, researchers developed approximate matching, which is a rather new, less prominent area but was conceived as a more robust counterpart to traditional hashing. Since the conception …

Synthesis, Reaction, And Evaluation Of The Anticancer Activity Of 6,7,8,9-Tetrahydro-5$H$-Cyclohepta[4,5]Selenopheno[2,3-$D$]Pyrimidine Derivatives, Kadi̇r Doğanay, Ünzi̇le Keleştemur, Sevgi̇ Balcioğlu, Burhan Ateş, Ali̇ye Altundaş

Turkish Journal of Chemistry

The cyclocondensation of 2-amino-5,6,7,8-tetrahydro-4$H$-cyclohepta[$b$] selenophene-3-carbonitrile (1) with formic acid and formamide gave the selenophenopyrimidine 15 and selenophenopyrimidone 6 derivatives. The reaction of 6 with phosphorus oxychloride produced 4-chloro-6,7,8,9-tetrahydro-5$H$-cyclohepta[4,5] seleno[2,3-$d$]pyrimidine (12), the key compound for our nucleophilic substitution reactions. The hydrazinoselenophenopyrimidine 19 obtained from the reaction of 12 with hydrazine hydrate was converted to its tetrazoloselenophenopyrimidine 21 and triazoloselenophenopyrimidine 26 derivatives. Moreover, the chloropyrimidine derivative was reacted with pyrrolidine and morpholine to afford 4-(1-pyrrolidinyl)-6,7,8,9-tetrahydro-5$H$-cylohepta[4,5]selenopheno[2,3-$d$]pyrimidine (27) and 4-(6,7,8,9-tetrahydro-5$H$-cyclohepta[4,5]selenopheno[2,3-$d$]pirimidin-4-yl)morpholine (28). Anticancer activities of the synthesized compounds were investigated against the MCF-7 breast cancer cell line and the IC$_{50}$ values of these compounds were …

Quantitative Framework For Social Cultural Interactions, Taranjeet Singh Bhatia

Electronic Theses and Dissertations

For an autonomous robot or software agent to participate in the social life of humans, it must have a way to perform a calculus of social behavior. Such a calculus must have explanatory power (it must provide a coherent theory for why the humans act the way they do), and predictive power (it must provide some plausible events from the predicted future actions of the humans). This dissertation describes a series of contributions that would allow agents observing or interacting with humans to perform a calculus of social behavior taking into account cultural conventions and socially acceptable behavior models. We …

Phytopharmaceuticals In Mongolia: Past, Present, And Future, Disan Gunbilig, Ulziinyam Rentsendorj

Erforschung biologischer Ressourcen der Mongolei / Exploration into the Biological Resources of Mongolia, ISSN 0440-1298

Over the last two decades, the consumption of medicinal plants has increased in Mongolia. Once banned by the post-revolutionary government, it is now valued by the practitioners of orthodox medicine, government as well as by the society. Yet the scientific community has to give this major and crucial component of traditional Mongolian medicine the attention it deserves, scientific knowledge about biologically active principles within medicinal plants remain poorly unknown. At the same time, due to over exploitation of plants many species are becoming extinct together with invaluable traditional knowledge being lost. For these reasons, there is a certain urgency to …

Experiments In Idiom Recognition, Jing Peng, Anna Feldman

Department of Computer Science Faculty Scholarship and Creative Works

Some expressions can be ambiguous between idiomatic and literal interpretations depending on the context they occur in, e.g., sales hit the roof vs. hit the roof of the car. We present a novel method of classifying whether a given instance is literal or idiomatic, focusing on verb-noun constructions. We report state-of-the-art results on this task using an approach based on the hypothesis that the distributions of the contexts of the idiomatic phrases will be different from the contexts of the literal usages. We measure contexts by using projections of the words into vector space. For comparison, we implement Fazly et …

Tango: A Spanish-Based Programming Language, Ashley Zegiestowsky

Undergraduate Honors Thesis Collection

The purpose of this thesis is a two-part project. The first part of the project deals with the creation of my own Spanish-based programming language, Tango, using Spanish key words (instead of English key words). The second part of the project relates to the design and implementation of a compiler that follows the grammar rules outlined in the Tango language in order to successfully lexically analyze, parse, semantically analyze, and generate code for Tango. The structure of this thesis begins with a description of the specific goals achieved in the Tango language, an explanation and brief examples of the Tango …

Open Source Software Adoption Evaluation Through Feature Level Sentiment Analysis Using Twitter Data, Muhammad Touseef Ikram, Naveed Anwer Butt, Muhammad Tanvir Afzal

Turkish Journal of Electrical Engineering and Computer Sciences

Adopting open source software from the Internet, developers often encounter the problem of accessing the quality of candidate software. To efficiently adopt the system they need a sort of quality guarantee regarding software resources. To assist the developer in software adoption evaluation we have proposed a software adoption assessment approach based on user comments. In our proposed approach, we first collected the textual reviews regarding the software resource, assigned the sentiment polarity (positive or negative) to each comment, extracted the adoption aspect which the comment talks about, and then based on the adoption aspects of the software generated an aggregated …

A Hybrid Behaviour Recognition And Intrusion Detection Method For Mobile Devices, Ashley Woodiss-Field

Australian Information Security Management Conference

Behaviour-based authorisation is a technique that assesses the user of a device for authenticity by comparing their activities to previously established behaviour profiles. Passwords and other point of entry authorisation techniques are often inadequate for protecting mobile device security as they only provide an initial barrier to usage and do not operate continuously. Behaviour-based authorisation continuously assesses user authorisation, using the device owner’s profile for authentication. This research improves upon behaviour-based authorisation performance by applying a hybridised intrusion detection method. The constituent intrusion detection methods that were applied include context-awareness and self-correction. Performance of a behaviour-based authorisation method can be …

Five-Factor Model As A Predictor For Spoken Dialog Systems, Teresa G. Carter

CCAC Theses and Dissertations

Human behavior varies widely as does the design of spoken dialog systems (SDS). The search for predictors to match a user’s preference and efficiency for a specific dialog interface type in an SDS was the focus of this research. By using personality as described by the Five-Factor Method (FFM) and the Wizard of Oz technique for delivering three system initiatives of the SDS, participants interacted with each of the SDS initiatives in scheduling an airline flight. The three system initiatives were constructed as strict system, which did not allow the user control of the interaction; mixed system, which allowed the …

Use Of Student Created Video Podcasts To Promote Foreign Language Grammar Acquisition In Middle School, Sergio Parra

CCAC Theses and Dissertations

The use of video podcasts in education has emerged as a phenomenon that has gained a considerable amount of attention over the last few years. Although video podcasting is becoming a well-established technology in higher education, new multimedia instructional strategies such as student-created video podcasts in grades K-12 are under-researched.

The study investigated the effects of video podcasts created by students to promote foreign language grammar acquisition at the middle school level and find how students described such experience. The current investigation was conducted by using the explanatory sequential design, which is a mixed methods research design that occurs in …

Mathematical Foundations Of Sentiment Classification : A Probabilistic Approach, Syed Shahzad Raza

Legacy Theses & Dissertations (2009 - 2024)

This thesis is an introduction to the mathematical formalization of sentiment classification. It presents two popular probabilistic machine learning models to classify tweets downloaded from Twitter during the US Election Period, 2016. The thesis analyses accuracy of the two classification algorithms used. Namely, Multinomial Naïve Bayes and Bernoulli Naïve Bayes algorithms. Supervised learning approaches implemented in this thesis use approximately 600 manually labeled tweets containing information regarding the US presidential candidates. It is shown with 80% accuracy that majority of twitter users spoke in favor of Donald Trump before and after the presidential election through their tweets. We also discuss …

Structured Summarization Of Multi-Party Conversations, Ching-Sheng Lin

Legacy Theses & Dissertations (2009 - 2024)

Automatic summarization is the task of creating a set of short and concise sentences that capture the content of the original source material. Summaries should retain only the most relevant content of the source, while suppressing secondary and redundant information. Most existing approaches to automatic summarization have been applied to narrative documents such as news, reports, and technical documents. Relatively few techniques were proposed for summarizing meetings and other forms of interactive content.

Persuasion In Online Communication : Automation And Counteraction, Samira Shaikh Shaikh

Legacy Theses & Dissertations (2009 - 2024)

In this thesis, we studied persuasion in online communication and how to automate

Towards A Semantic-Based Information Extraction System For Matching Résumés To Job Openings, Duygu Çeli̇k

Turkish Journal of Electrical Engineering and Computer Sciences

A curriculum vitae or a résumé, in general, consists of personal details, education, work experience, qualifications, and references. The overall objective of this study was to extract such data as experience, features, and business and education information from résumés stored in human resources repositories. In this article, we propose an ontology-driven information extraction system that is planned to operate on several million free-format textual résumés to convert them to a structured and semantically enriched version for use in semantic data mining of data essential in human resources processes. The architecture and working mechanism of the system, similarity of the concept …

The Classification Of Eeg Signals Using Discretization-Based Entropy And The Adaptive Neuro-Fuzzy Inference System, Mahmut Heki̇m

Turkish Journal of Electrical Engineering and Computer Sciences

A novel feature extraction called discretization-based entropy is proposed for use in the classification of EEG signals. To this end, EEG signals are decomposed into frequency subbands using the discrete wavelet transform (DWT), the coefficients of these subbands are discretized into the desired number of intervals using the discretization method, the entropy values of the discretized subbands are calculated using the Shannon entropy method, and these are then used as the inputs of the adaptive neuro-fuzzy inference system (ANFIS). The equal width discretization (EWD) and equal frequency discretization (EFD) methods are used for the discretization. In order to evaluate their …

A Generalized Particle Swarm Optimization Using Reverse Direction Information, Emre Çomak

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, an improved particle swarm optimization (PSO) algorithm, including 4 types of new velocity updating formulae (each is equal to the traditional PSO), was introduced. This algorithm was called the reverse direction supported particle swarm optimization (RDS-PSO) algorithm. The RDS-PSO algorithm has the potential to extend the diversity and generalization of traditional PSO by regulating the reverse direction information adaptively. To implement this extension, 2 new constants were added to the velocity update equation of the traditional PSO, and these constants were regulated through 2 alternative procedures, i.e. max--min-based and cosine amplitude-based diversity-evaluating procedures. The 4 most commonly …

A New Step-Size Searching Algorithm Based On Fuzzy Logic And Neural Networks For Lms Adaptive Beamforming Systems, Walter Orozco-Tupacyupanqui, Mariko Nakano-Miyatake, Hector Perez Meana

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a novel algorithm based on fuzzy logic and neural networks is proposed to find an approximation of the optimal step size $\mu $ for least-mean-squares (LMS) adaptive beamforming systems. A new error ensemble learning (EEL) curve is generated based on the final prediction value of the ensemble-average learning curve of the LMS adaptive algorithm. This information is classified and fed into a back propagation neural network, which automatically generates membership functions for a fuzzy inference system. An estimate of the optimal step size is obtained using a group of linguistic rules and the corresponding defuzzification method. Computer …

A New Compression Algorithm For Fast Text Search, Aydin Carus, Altan Mesut

Turkish Journal of Electrical Engineering and Computer Sciences

We propose a new compression algorithm that compresses plain texts by using a dictionary-based model and a compressed string-matching approach that can be used with the compressed texts produced by this algorithm. The compression algorithm (CAFTS) can reduce the size of the texts to approximately 41% of their original sizes. The presented compressed string matching approach (SoCAFTS), which can be used with any of the known pattern matching algorithms, is compared with a powerful compressed string matching algorithm (ETDC) and a compressed string-matching tool (Lzgrep). Although the search speed of ETDC is very good in short patterns, it can only …

Applying Metaheuristic Optimization Methods To Design Novel Adaptive Pi-Type Fuzzy Logic Controllers For Load-Frequency Control In A Large-Scale Power Grid, Thimaiphuong Dao, Yaonan Wang, Ngockhoat Nguyen

Turkish Journal of Electrical Engineering and Computer Sciences

Due to the complexity and diversity of large-scale power systems in practice, designing load-frequency control (LFC) strategies against load variations faces big challenges to ensure the stability and economy of the network. The focus of this paper is to design a novel adaptive PI-type fuzzy logic (FL)-based LFC architecture for solving the LFC problem in such an interconnected electric power grid. Applying 2 biologically inspired optimization methods, namely particle swarm optimization method and a genetic algorithm, the membership functions and rule base of a basic PI-type FL model were parameterized and optimized simultaneously and successfully. An online self-tuning method was …

Fast Measurement Of Headlamps By Means Of A Developed Fuzzy Luxmeter Based On A Fuzzy Mapping Algorithm, Mustafa Şi̇nasi̇ Ayas, İsmai̇l Hakki Altaş, Turhan Alçeli̇k

Turkish Journal of Electrical Engineering and Computer Sciences

headlamps in the dark is inferable from the results of studies. Various regulations are available in order to arrange the required illuminance values at certain positions on the road. The designed and produced headlamps have to satisfy the requirements of these regulations. Manual measurement tools, such as the luxmeter (which are based on point-by-point measurements), have traditionally been used. This traditional way has been considered inefficient in terms of awkward setup procedures, complexity, the continuous intervention of human operators, and costs. In this study, in order to overcome these problems, a new approach for measuring the illuminance values is proposed. …

An Investigation Of Intelligent Controllers Based On Fuzzy Logic And Artificial Neural Network For Power System Frequency Maintenance, Ngockhoat Nguyen, Qi Huang, Thi-Mai-Phuong Dao

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Authentication Of Uncertain Data Based On K-Means Clustering, Levent Ünver, Taflan İmre Gündem

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Wind Farm Based On Dfig Entirely Interfaced With 14-Node Distribution Network: Power Control And Voltage Regulation, Babouri Rabah, Aouchenni Ounissa, Aouzellag Djamal, Ghedamsi Kaci

Turkish Journal of Electrical Engineering and Computer Sciences

power quality problems due to the fluctuating nature of the wind and the increasing complexity of the power system. This paper describes a novel approach to voltage and power control of a radial electrical distribution network, using a wind farm. The wind farm consists of seven 75 kW induction generators (DFIG) supplying two AC/DC converters. The feed structure of the DFIG allows operating the system conversion in a wide range of speed variations. That is why it is a recommended solution, due to its capacity to increase the generator power to twice its nominal power; consequently, the system's size and …

Scalable Sentiment Analytics, Aslan Baki̇rov, Kevser Nur Çoğalmiş, Ahmet Bulut

Turkish Journal of Electrical Engineering and Computer Sciences

Spark has become a widely popular analytics framework that provides an implementation of the equally popular MapReduce programming model. Hadoop is an Apache foundation framework that can be used for processing large datasets on a cluster of computers using the MapReduce programming model. Mahout is an Apache foundation project developed for building scalable machine learning libraries, which includes built-in machine learning classifiers. In this paper, we show how to build a simple text classifier on Spark, Apache Hadoop, and Apache Mahout for extracting out sentiments from a text collection containing millions of text documents. Using a collection of 7 million …

Identifying Acquisition Devices From Recorded Speech Signals Using Wavelet-Based Features, Ömer Eski̇dere

Turkish Journal of Electrical Engineering and Computer Sciences

Speech characteristics have played a critical role in media forensics, particularly in the investigation of evidence. This study proposes two wavelet-based feature extraction methods for the identification of acquisition devices from recorded speech. These methods are discrete wavelet-based coefficients (DWBCs) and wavelet packet-based coefficients, which are mainly based on a multiresolution analysis. These features' ability to capture characteristics of acquisition devices is compared to conventional mel frequency cepstral coefficients and subband-based coefficients. In the experiments, 14 different audio acquisition devices were trained and tested using support vector machines. Experimental results showed that DWBCs can effectively be used in source audio …