Matching Items (634)
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Description
Currently Java is making its way into the embedded systems and mobile devices like androids. The programs written in Java are compiled into machine independent binary class byte codes. A Java Virtual Machine (JVM) executes these classes. The Java platform additionally specifies the Java Native Interface (JNI). JNI allows Java

Currently Java is making its way into the embedded systems and mobile devices like androids. The programs written in Java are compiled into machine independent binary class byte codes. A Java Virtual Machine (JVM) executes these classes. The Java platform additionally specifies the Java Native Interface (JNI). JNI allows Java code that runs within a JVM to interoperate with applications or libraries that are written in other languages and compiled to the host CPU ISA. JNI plays an important role in embedded system as it provides a mechanism to interact with libraries specific to the platform. This thesis addresses the overhead incurred in the JNI due to reflection and serialization when objects are accessed on android based mobile devices. It provides techniques to reduce this overhead. It also provides an API to access objects through its reference through pinning its memory location. The Android emulator was used to evaluate the performance of these techniques and we observed that there was 5 - 10 % performance gain in the new Java Native Interface.
ContributorsChandrian, Preetham (Author) / Lee, Yann-Hang (Thesis advisor) / Davulcu, Hasan (Committee member) / Li, Baoxin (Committee member) / Arizona State University (Publisher)
Created2011
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Description
As pointed out in the keynote speech by H. V. Jagadish in SIGMOD'07, and also commonly agreed in the database community, the usability of structured data by casual users is as important as the data management systems' functionalities. A major hardness of using structured data is the problem of easily

As pointed out in the keynote speech by H. V. Jagadish in SIGMOD'07, and also commonly agreed in the database community, the usability of structured data by casual users is as important as the data management systems' functionalities. A major hardness of using structured data is the problem of easily retrieving information from them given a user's information needs. Learning and using a structured query language (e.g., SQL and XQuery) is overwhelmingly burdensome for most users, as not only are these languages sophisticated, but the users need to know the data schema. Keyword search provides us with opportunities to conveniently access structured data and potentially significantly enhances the usability of structured data. However, processing keyword search on structured data is challenging due to various types of ambiguities such as structural ambiguity (keyword queries have no structure), keyword ambiguity (the keywords may not be accurate), user preference ambiguity (the user may have implicit preferences that are not indicated in the query), as well as the efficiency challenges due to large search space. This dissertation performs an expansive study on keyword search processing techniques as a gateway for users to access structured data and retrieve desired information. The key issues addressed include: (1) Resolving structural ambiguities in keyword queries by generating meaningful query results, which involves identifying relevant keyword matches, identifying return information, composing query results based on relevant matches and return information. (2) Resolving structural, keyword and user preference ambiguities through result analysis, including snippet generation, result differentiation, result clustering, result summarization/query expansion, etc. (3) Resolving the efficiency challenge in processing keyword search on structured data by utilizing and efficiently maintaining materialized views. These works deliver significant technical contributions towards building a full-fledged search engine for structured data.
ContributorsLiu, Ziyang (Author) / Chen, Yi (Thesis advisor) / Candan, Kasim S (Committee member) / Davulcu, Hasan (Committee member) / Jagadish, H V (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them

Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them as a basis to determine the significance of other candidate genes, which will then be ranked based on the association they exhibit with respect to the given set of known genes. Experimental and computational data of various kinds have different reliability and relevance to a disease under study. This work presents a gene prioritization method based on integrated biological networks that incorporates and models the various levels of relevance and reliability of diverse sources. The method is shown to achieve significantly higher performance as compared to two well-known gene prioritization algorithms. Essentially, no bias in the performance was seen as it was applied to diseases of diverse ethnology, e.g., monogenic, polygenic and cancer. The method was highly stable and robust against significant levels of noise in the data. Biological networks are often sparse, which can impede the operation of associationbased gene prioritization algorithms such as the one presented here from a computational perspective. As a potential approach to overcome this limitation, we explore the value that transcription factor binding sites can have in elucidating suitable targets. Transcription factors are needed for the expression of most genes, especially in higher organisms and hence genes can be associated via their genetic regulatory properties. While each transcription factor recognizes specific DNA sequence patterns, such patterns are mostly unknown for many transcription factors. Even those that are known are inconsistently reported in the literature, implying a potentially high level of inaccuracy. We developed computational methods for prediction and improvement of transcription factor binding patterns. Tests performed on the improvement method by employing synthetic patterns under various conditions showed that the method is very robust and the patterns produced invariably converge to nearly identical series of patterns. Preliminary tests were conducted to incorporate knowledge from transcription factor binding sites into our networkbased model for prioritization, with encouraging results. Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them as a basis to determine the significance of other candidate genes, which will then be ranked based on the association they exhibit with respect to the given set of known genes. Experimental and computational data of various kinds have different reliability and relevance to a disease under study. This work presents a gene prioritization method based on integrated biological networks that incorporates and models the various levels of relevance and reliability of diverse sources. The method is shown to achieve significantly higher performance as compared to two well-known gene prioritization algorithms. Essentially, no bias in the performance was seen as it was applied to diseases of diverse ethnology, e.g., monogenic, polygenic and cancer. The method was highly stable and robust against significant levels of noise in the data. Biological networks are often sparse, which can impede the operation of associationbased gene prioritization algorithms such as the one presented here from a computational perspective. As a potential approach to overcome this limitation, we explore the value that transcription factor binding sites can have in elucidating suitable targets. Transcription factors are needed for the expression of most genes, especially in higher organisms and hence genes can be associated via their genetic regulatory properties. While each transcription factor recognizes specific DNA sequence patterns, such patterns are mostly unknown for many transcription factors. Even those that are known are inconsistently reported in the literature, implying a potentially high level of inaccuracy. We developed computational methods for prediction and improvement of transcription factor binding patterns. Tests performed on the improvement method by employing synthetic patterns under various conditions showed that the method is very robust and the patterns produced invariably converge to nearly identical series of patterns. Preliminary tests were conducted to incorporate knowledge from transcription factor binding sites into our networkbased model for prioritization, with encouraging results. To validate these approaches in a disease-specific context, we built a schizophreniaspecific network based on the inferred associations and performed a comprehensive prioritization of human genes with respect to the disease. These results are expected to be validated empirically, but computational validation using known targets are very positive.
ContributorsLee, Jang (Author) / Gonzalez, Graciela (Thesis advisor) / Ye, Jieping (Committee member) / Davulcu, Hasan (Committee member) / Gallitano-Mendel, Amelia (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Advancements in computer vision and machine learning have added a new dimension to remote sensing applications with the aid of imagery analysis techniques. Applications such as autonomous navigation and terrain classification which make use of image classification techniques are challenging problems and research is still being carried out to find

Advancements in computer vision and machine learning have added a new dimension to remote sensing applications with the aid of imagery analysis techniques. Applications such as autonomous navigation and terrain classification which make use of image classification techniques are challenging problems and research is still being carried out to find better solutions. In this thesis, a novel method is proposed which uses image registration techniques to provide better image classification. This method reduces the error rate of classification by performing image registration of the images with the previously obtained images before performing classification. The motivation behind this is the fact that images that are obtained in the same region which need to be classified will not differ significantly in characteristics. Hence, registration will provide an image that matches closer to the previously obtained image, thus providing better classification. To illustrate that the proposed method works, naïve Bayes and iterative closest point (ICP) algorithms are used for the image classification and registration stages respectively. This implementation was tested extensively in simulation using synthetic images and using a real life data set called the Defense Advanced Research Project Agency (DARPA) Learning Applied to Ground Robots (LAGR) dataset. The results show that the ICP algorithm does help in better classification with Naïve Bayes by reducing the error rate by an average of about 10% in the synthetic data and by about 7% on the actual datasets used.
ContributorsMuralidhar, Ashwini (Author) / Saripalli, Srikanth (Thesis advisor) / Papandreou-Suppappola, Antonia (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2011
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Description

Partisan politics has created an increasingly polarized political climate in the United States. Despite the divisive political climate, women’s representation in politics has also increased drastically over the years. I began this project to see if there is a partisan rivalry between women in politics or a sense of shared

Partisan politics has created an increasingly polarized political climate in the United States. Despite the divisive political climate, women’s representation in politics has also increased drastically over the years. I began this project to see if there is a partisan rivalry between women in politics or a sense of shared “womanhood.” This thesis explores the role political parties play for women in office by examining how they vote on bills, what type of bills they propose, and whether or not they work collaboratively with their female counterparts at the Arizona State Legislature. My main goals for this project are to see how strong or weak political parties are in shaping political behavior at the Arizona State Legislature and to determine if there is a sense of “womanhood” despite different political affiliations. I also explore the role party affiliation plays within women legislators at the Arizona State Legislature.

ContributorsSanson, Claudia Maria (Author) / Lennon, Tara (Thesis director) / Woodall, Gina (Committee member) / School of Public Affairs (Contributor) / Department of English (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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In recent years, immigration, especially concerning those individuals immigrating from Central America and Mexico, has become increasingly controversial. Within the last five presidents, policies concerning immigration have shifted. Under President Bill Clinton in 1997, the Flores Settlement, an agreement between immigration activist organizations and the government that created standards for

In recent years, immigration, especially concerning those individuals immigrating from Central America and Mexico, has become increasingly controversial. Within the last five presidents, policies concerning immigration have shifted. Under President Bill Clinton in 1997, the Flores Settlement, an agreement between immigration activist organizations and the government that created standards for detaining accompanied and unaccompanied minors was made. Following 9/11, in 2005, President George W. Bush increased the amount of money spent on immigration enforcement in an effort to deport more immigrants. President Barack Obama increased the number of deportations from President Bush during his first term. However, in 2014, an already imperfect immigration system was disrupted by an influx of child immigrants. As a result, detention centers were at capacity and unable to accommodate the increasing numbers of immigrants. Child migrants were placed in caged-areas, immigration lawyers and courts quickly became overwhelmed with cases, and children were alone and could barely communicate. This thesis explores the various relationships between accompanied and unaccompanied minors from Central America, the American legal system, and the media and broadcast news outlets’ rhetoric concerning child migrants. Focusing on the ways in which immigrant minors are objectified by the legal system and the framing of immigrants in the media, it is evident that their complex interaction allows for the oppression of the child migrants. Since the American legal system and the media influence and respond to each other, the responsibility of the child migrants’ dehumanization is on both the legal system and the rhetoric of the media and broadcast news outlets.

ContributorsValli-Doherty, Francesca (Author) / Soares, Rebecca (Thesis director) / Agruss, David (Committee member) / School of Public Affairs (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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This project is a critical analysis of the works of 6 American war veterans and how they demonstrate trauma in their narratives. The texts covered here are Philip Red Eagle’s Red Earth (2007), John A. Williams’ Captain Blackman (1972), Roy Scranton’s War Porn (2016), Tim O’Brien’s The Things They

This project is a critical analysis of the works of 6 American war veterans and how they demonstrate trauma in their narratives. The texts covered here are Philip Red Eagle’s Red Earth (2007), John A. Williams’ Captain Blackman (1972), Roy Scranton’s War Porn (2016), Tim O’Brien’s The Things They Carried (1990), Kurt Vonnegut’s Slaughterhouse-Five (1969), and Joseph Heller’s Catch-22 (1961).

ContributorsNovinger, Joshua (Author) / Ellis, Lawrence (Thesis director) / Goodman, Brian (Committee member) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Claiming Impossible Bodies is a collection of poetry and collage exploring gender and sexuality through the lens of the vampire. For this project, I researched various representations of the vampires through folklore, classical and modern literature, film, and pop culture. The liminality of the vampire allows such figures to take

Claiming Impossible Bodies is a collection of poetry and collage exploring gender and sexuality through the lens of the vampire. For this project, I researched various representations of the vampires through folklore, classical and modern literature, film, and pop culture. The liminality of the vampire allows such figures to take different forms and identities, ranging from dark and grotesque creatures, such as the succubus or incubus from mythology, to modern sex-icons, like Edward Cullen from the Twilight Saga. Considering this wide range of performances by vampiric figures throughout history, the poems in this manuscript seek to deconstruct the binaries that vampires live between and expose the liminality in social norms that attempt to define our identities and shape our performances.

ContributorsWitter, Genevieve Michelle (Author) / Ball, Sally (Thesis director) / Meinen, Avery (Committee member) / Department of English (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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For this Creative Project, I decided to explore the elements that set novellas apart from other genres and then experiment writing in the form. In doing so, I took into account three main categories: Plot Structure, Character Development, Style/Format, and then used my findings to write 45 pages of a

For this Creative Project, I decided to explore the elements that set novellas apart from other genres and then experiment writing in the form. In doing so, I took into account three main categories: Plot Structure, Character Development, Style/Format, and then used my findings to write 45 pages of a novella titled Emmy and Me.

ContributorsBingham, Roxanne Marie (Author) / Irish, Jennifer (Thesis director) / Danielson, Jonathan (Committee member) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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The United States is an empire. It was founded as such and continues to be one to this day. However, during the most prominent periods of imperial expansion, anti-imperialist organizations and politicians often rise up to oppose these further imperialist actions. This thesis paper examines the rhetoric used by these

The United States is an empire. It was founded as such and continues to be one to this day. However, during the most prominent periods of imperial expansion, anti-imperialist organizations and politicians often rise up to oppose these further imperialist actions. This thesis paper examines the rhetoric used by these organizations and politicians, particularly through their speeches and platforms. The primary focus is on the role of American exceptionalism in this rhetoric, and what American anti-imperialism not rooted in this concept looks like. This analysis will be done by looking at a few key specific texts from these organizations and politicians, including (but not limited to) the platform of the Anti-Imperialist League and the speech Representative Barbara Lee gave to explain her lone no vote on the Authorization for Use of Military Force in Afghanistan in 2001.

ContributorsRemelius, Justin (Author) / Avina, Alexander (Thesis director) / Goodman, Brian (Committee member) / Historical, Philosophical & Religious Studies (Contributor, Contributor) / School of Politics and Global Studies (Contributor, Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor, Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05