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- All Subjects: Computer Science
- Genre: Masters Thesis
- Creators: Arizona State University
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 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
Description
Belief affects behavior and rhetoric has the potential to bring about action. This paper is a critical content analysis of the ideology and rhetoric of key Islamist intellectuals and the Islamist organization Hizb ut-Tahrir, as stated on the website http://english.hizbuttahrir.org. The responses of specific Muslim Reformers are also analyzed. The central argument underlying this analysis centers on the notion that such Islamist ideology and its rhetorical delivery could be a significant trigger for the use of violence; interacting with, yet existing independently of, other factors that contribute to violent actions. In this case, a significant aspect of any solution to Islamist rhetoric would require that Muslim Reformers present a compelling counter-narrative to political Islam (Islamism), one that has an imperative to reduce the amount of violence in the region. Rhetoric alone cannot solve the many complicated issues in the region but we must begin somewhere and countering the explicit and implicit calls to violence of political Islamist organizations like Hizb ut-Tahrir seems a constructive step.
ContributorsBoyer, Paul Daniel (Author) / Mean, Lindsey (Thesis advisor) / Waldron, Vincent (Committee member) / Carter, Heather (Committee member) / Arizona State University (Publisher)
Created2010
Description
This thesis describes a synthetic task environment, CyberCog, created for the purposes of 1) understanding and measuring individual and team situation awareness in the context of a cyber security defense task and 2) providing a context for evaluating algorithms, visualizations, and other interventions that are intended to improve cyber situation awareness. CyberCog provides an interactive environment for conducting human-in-loop experiments in which the participants of the experiment perform the tasks of a cyber security defense analyst in response to a cyber-attack scenario. CyberCog generates the necessary performance measures and interaction logs needed for measuring individual and team cyber situation awareness. Moreover, the CyberCog environment provides good experimental control for conducting effective situation awareness studies while retaining realism in the scenario and in the tasks performed.
ContributorsRajivan, Prashanth (Author) / Femiani, John (Thesis advisor) / Cooke, Nancy J. (Thesis advisor) / Lindquist, Timothy (Committee member) / Gary, Kevin (Committee member) / Arizona State University (Publisher)
Created2011
Description
With the introduction of compressed sensing and sparse representation,many image processing and computer vision problems have been looked at in a new way. Recent trends indicate that many challenging computer vision and image processing problems are being solved using compressive sensing and sparse representation algorithms. This thesis assays some applications of compressive sensing and sparse representation with regards to image enhancement, restoration and classication. The first application deals with image Super-Resolution through compressive sensing based sparse representation. A novel framework is developed for understanding and analyzing some of the implications of compressive sensing in reconstruction and recovery of an image through raw-sampled and trained dictionaries. Properties of the projection operator and the dictionary are examined and the corresponding results presented. In the second application a novel technique for representing image classes uniquely in a high-dimensional space for image classification is presented. In this method, design and implementation strategy of the image classification system through unique affine sparse codes is presented, which leads to state of the art results. This further leads to analysis of some of the properties attributed to these unique sparse codes. In addition to obtaining these codes, a strong classier is designed and implemented to boost the results obtained. Evaluation with publicly available datasets shows that the proposed method outperforms other state of the art results in image classication. The final part of the thesis deals with image denoising with a novel approach towards obtaining high quality denoised image patches using only a single image. A new technique is proposed to obtain highly correlated image patches through sparse representation, which are then subjected to matrix completion to obtain high quality image patches. Experiments suggest that there may exist a structure within a noisy image which can be exploited for denoising through a low-rank constraint.
ContributorsKulkarni, Naveen (Author) / Li, Baoxin (Thesis advisor) / Ye, Jieping (Committee member) / Sen, Arunabha (Committee member) / Arizona State University (Publisher)
Created2011
Description
The current study is the first qualitative investigation aimed solely at understanding what it means to communicate conditional forgiveness in serious romantic relationships. Conditional forgiveness is forgiveness that has been offered with the stipulation that the errant behavior cease. It is a provocative topic because some argue genuine forgiveness is not conditional, but recent discoveries that have associated its use with severe transgressions and relational deterioration suggest it is a critical site for investigation. This inductive analysis of open-ended data from 201 anonymous surveys identified both distinctions between and intersections of conditional forgiveness, forgiveness, and reconciliation. A relational dialectics analysis also revealed that reconcilable-irreconcilable was the overarching tension for conditional forgivers and six additional tensions also were also discovered: individual identity-couple identity, safety-risk, certainty-uncertainty, mercy-justice, heart-mind, and expression-suppression. Of particular intrigue, the current analysis supports the previous discovery of implicit conditional forgiveness--suppressing conditions, sometimes in response to physical and substance abuse. Ultimately, the current analysis contributes to the enduring conversation aimed at understanding the communication and pursuit of forgiveness and reconciliation. It addresses one of the basic instincts and paradoxes of existing with others--the balance between vulnerability and protection.
ContributorsKloeber, Dayna Noel (Author) / Waldron, Vincent R. (Thesis advisor) / Kelley, Douglas L. (Committee member) / Kassing, Jeffrey W. (Committee member) / Fisher, Carla L. (Committee member) / Arizona State University (Publisher)
Created2011
Description
This thesis seeks to answer the question: "What do artistic representations add to the dialogue about the U.S.-Mexico border and immigration beyond political rhetoric and popular media portrayals?" Drawing on political communications (as put forth by Edelman and Altheide), socio-political construction (particularly the White Racial Frame put forth by Feagin), and collective memory theory (especially those of Halbwachs and Pollak), this thesis uses a dual-coding, content analysis to examine the linguistic and visual messages disseminated through news media. Then, interviews with and the work of six immigrant artists are examined for their contribution to the information put forth in the news media. This study finds that news reporting bias falls along a continuum from pro-immigration to extreme anti-immigration (labeled "fearful" reporting). The news media skew strongly toward anti-immigration to fearful in bias, and there is no opposite pro-immigration bias. Through observations of artists' work, the study concludes that artistic representations of the border can fill this strongly pro-immigration void on this bias continuum.
ContributorsMcCarty, Kelly Erin (Author) / Téllez, Michelle (Thesis advisor) / Stancliff, Michael (Committee member) / Segura, Joseph (Committee member) / Arizona State University (Publisher)
Created2011
Description
Separation from a loved one is a highly stressful event. The range and intensity of emotions accompanying such a separation arguably are amplified when one's spouse deploys. This thesis examines at-home spouses (AHSs) of deployed military and how emotion, marital satisfaction, and communication are impacted throughout the deployment cycle. Additionally, I explore technology as a possible coping mechanism to help AHSs adapt and overcome stressfulness of deployment. One hundred sixty-six married females with a partner currently deployed, anticipating deployment, or recently returned from deployment completed an on-line survey. It was predicted AHSs would experience specific emotions during each phase, categorized as "anticipatory," (e.g., anger, worry) "absence" (e.g., lonely, sad) or "post" (e.g., happiness, relief); marital satisfaction also was predicted to be higher among spouses whose partner recently returned from deployment versus was deployed or anticipating deployment. Data showed AHSs whose partner was anticipating or currently deployed reported more "anticipatory" and "absence" emotions than AHSs with a recently returned partner. The former two groups did not differ in these emotions. AHSs with a recently returned partner reported more "post" emotions than the other two groups. Marital satisfaction did not differ based on deployment status. It was also predicted that among AHSs with a currently deployed partner, less negative emotion upon deployment would be associated with more frequent communication during deployment. Data showed AHSs who reported less negative emotion upon deployment engaged in more frequent communication with their deployed partner. Lastly, I predicted AHSs whose partners are currently deployed and who prefer modes of communication allowing direct contact (e.g., Skype) will experience less negative emotions than AHSs who prefer indirect contact (e.g., e-mail). Data showed reports of negative emotion did not differ based on preference for direct versus indirect communication. Therefore, negative emotions may develop and persist before and during deployment, but when the partner returns home, spouses do experience a rebound of positive emotions. Additionally, emotions at the time of deployment may be useful in predicting spouses' communication frequency during deployment. Findings aim to provide knowledge of family life during separation and explore technology as a possible coping mechanism for AHSs.
ContributorsPowell, Katrina D (Author) / Roberts, Nicole A. (Thesis advisor) / Burleson, Mary H. (Committee member) / Hall, Deborah (Committee member) / Arizona State University (Publisher)
Created2011
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 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
Description
This thesis proposed a novel approach to establish the trust model in a social network scenario based on users' emails. Email is one of the most important social connections nowadays. By analyzing email exchange activities among users, a social network trust model can be established to judge the trust rate between each two users. The whole trust checking process is divided into two steps: local checking and remote checking. Local checking directly contacts the email server to calculate the trust rate based on user's own email communication history. Remote checking is a distributed computing process to get help from user's social network friends and built the trust rate together. The email-based trust model is built upon a cloud computing framework called MobiCloud. Inside MobiCloud, each user occupies a virtual machine which can directly communicate with others. Based on this feature, the distributed trust model is implemented as a combination of local analysis and remote analysis in the cloud. Experiment results show that the trust evaluation model can give accurate trust rate even in a small scale social network which does not have lots of social connections. With this trust model, the security in both social network services and email communication could be improved.
ContributorsZhong, Yunji (Author) / Huang, Dijiang (Thesis advisor) / Dasgupta, Partha (Committee member) / Syrotiuk, Violet (Committee member) / Arizona State University (Publisher)
Created2011
Description
In the last few decades, the rapid development of electronic music technologies has changed the way society interacts with music, which in turn impacts the profession of music therapy. Except for a few cases, music therapy has not extensively explored the integration of new technology. However, current research trends show a willingness and excitement to explore the possibilities (Nagler, 2011; Ramsey, 2011; Magee, et al., 2011; Magee & Burland, 2008; Magee 2006). The project described in this paper intends to demonstrate one of these possibilities by combining modern technologies to create an interactive musical system with practical applications in music therapy. In addition to designing a practical tool, the project aims to question the role of technology in music therapy and to initiate dialogue between technologists and music therapists. The project, entitled MIST: A Musical Interactive Space for Therapy, uses modern gestural technology (the Microsoft® Kinect®) to capture body movements and turn them into music. It is intended for use in a clinical setting with children with mild to moderate disabilities. The system is a software/hardware package that is inexpensive, user-friendly, and portable. There are two functional modes of the system: the first sonifies specific movement tasks of reaching and balancing; the second is an interactive musical play space in which an entire room becomes responsive to presence and movement, creating a sonic playground. The therapeutic goals of the system are to motivate and train physical movement, encourage exploration of space and the body, and allow for musical expression, play, auditory perception, and social interaction.
ContributorsHeadlee, Kimberlee (Author) / Ingalls, Todd M (Thesis advisor) / Crowe, Barbara J. (Thesis advisor) / Stauffer, Sandra L (Committee member) / Arizona State University (Publisher)
Created2011