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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
Reliable extraction of human pose features that are invariant to view angle and body shape changes is critical for advancing human movement analysis. In this dissertation, the multifactor analysis techniques, including the multilinear analysis and the multifactor Gaussian process methods, have been exploited to extract such invariant pose features from

Reliable extraction of human pose features that are invariant to view angle and body shape changes is critical for advancing human movement analysis. In this dissertation, the multifactor analysis techniques, including the multilinear analysis and the multifactor Gaussian process methods, have been exploited to extract such invariant pose features from video data by decomposing various key contributing factors, such as pose, view angle, and body shape, in the generation of the image observations. Experimental results have shown that the resulting pose features extracted using the proposed methods exhibit excellent invariance properties to changes in view angles and body shapes. Furthermore, using the proposed invariant multifactor pose features, a suite of simple while effective algorithms have been developed to solve the movement recognition and pose estimation problems. Using these proposed algorithms, excellent human movement analysis results have been obtained, and most of them are superior to those obtained from state-of-the-art algorithms on the same testing datasets. Moreover, a number of key movement analysis challenges, including robust online gesture spotting and multi-camera gesture recognition, have also been addressed in this research. To this end, an online gesture spotting framework has been developed to automatically detect and learn non-gesture movement patterns to improve gesture localization and recognition from continuous data streams using a hidden Markov network. In addition, the optimal data fusion scheme has been investigated for multicamera gesture recognition, and the decision-level camera fusion scheme using the product rule has been found to be optimal for gesture recognition using multiple uncalibrated cameras. Furthermore, the challenge of optimal camera selection in multi-camera gesture recognition has also been tackled. A measure to quantify the complementary strength across cameras has been proposed. Experimental results obtained from a real-life gesture recognition dataset have shown that the optimal camera combinations identified according to the proposed complementary measure always lead to the best gesture recognition results.
ContributorsPeng, Bo (Author) / Qian, Gang (Thesis advisor) / Ye, Jieping (Committee member) / Li, Baoxin (Committee member) / Spanias, Andreas (Committee member) / Arizona State University (Publisher)
Created2011
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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

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 focus of this study was the first Serbian opera, Na Uranku (At Dawn). It was written by Stanislav Binièki (1872-1942) and was first performed in 1903 at the National Theatre in Belgrade. There were two objectives of this project: (1) a live concert performance of the opera, which produced

The focus of this study was the first Serbian opera, Na Uranku (At Dawn). It was written by Stanislav Binièki (1872-1942) and was first performed in 1903 at the National Theatre in Belgrade. There were two objectives of this project: (1) a live concert performance of the opera, which produced an audio recording that can be found as an appendix; and, (2) an accompanying document containing a history and an analysis of the work. While Binièki's opera is recognized as an extraordinary artistic achievement, and a new genre of musical enrichment for Serbian music, little had been previously written either about the composer or the work. At Dawn is a romantic opera in the verismo tradition with national elements. The significance of this opera is not only in its artistic expression but also in how it helped the music of Serbia evolve. Early opera settings in Serbia in the mid-nineteenth to early twentieth century did not have the same wealth of history upon which to draw as had existed in the rich operatic oeuvre in Western Europe and Russia. Similarly, conditions for performance were not satisfactory, as were no professional orchestras or singers. Furthermore, audiences were not accustomed to this type of art form. The opera served as an educational instrument for the audience, not only training them to a different type of music but also evolving its national consciousness. Binièki's opera was a foundation on which later generations of composers built. The artistic value of this opera is emphasized. The musical language includes an assimilation of various influences from Western Europe and Russia, properly incorporated into the Serbian musical core. Audience reaction is discussed, a positive affirmation that Binièki was moving in the right direction in establishing a path for the further development of the artistic field of Serbian musical culture. A synopsis of the work as well as the requisite performing forces is also included.
ContributorsMinov, Jana (Author) / Russell, Timothy (Thesis advisor) / Levy, Benjamin (Committee member) / Schildkret, David (Committee member) / Rogers, Rodney (Committee member) / Reber, William (Committee member) / Arizona State University (Publisher)
Created2011
Description
Delirium is a piece for large wind ensemble that synthesizes compositional techniques to generate unique juxtapositions of contrasting musical elements. The piece is about 8:30 long and uses the full complement of winds, brass, and percussion. Although the composition begins tonally, chromatic alterations gradually shift the melodic content outside of

Delirium is a piece for large wind ensemble that synthesizes compositional techniques to generate unique juxtapositions of contrasting musical elements. The piece is about 8:30 long and uses the full complement of winds, brass, and percussion. Although the composition begins tonally, chromatic alterations gradually shift the melodic content outside of the tonal center. In addition to changes in the melody, octatonic, chromatic, and synthetic scales and quartal and quintal harmonies are progressively introduced throughout the piece to add color and create dissonance. Delirium contains four primary sections that are all related by chromatic mediant. The subdivisions of the first part create abrupt transitions between contrasting material, evocative of the symptoms of delirium. As each sub-section progresses, the A minor tonality of the opening gradually gives way to increased chromaticism and dissonance. The next area transitions to C minor and begins to feature octatonic scales, secundal harmonies, and chromatic flourishes more prominently. The full sound of the ensemble then drops to solo instruments in the third section, now in G# minor, where the elements of the previous section are built upon with the addition of synthetic scales and quartal harmonies. The last division, before the recapitulation of the opening material, provides a drastic change in atmosphere as the chromatic elements from before are removed and the tense sound of the quartal harmonies are replaced with quintal sonorities and a more tonal melody. The tonality of this final section is used to return to the opening material. After an incomplete recapitulation, the descending motive that is used throughout the piece, which can be found in measure 61 in the flutes, is inverted and layered by minor 3rds. This inverted figure builds to the same sonority found in measure138, before ending on an F# chord, a minor third away from the A minor tonal center of the opening and where the piece seems like it should end.
ContributorsBell, Jeremy, 1986- (Composer) / Rogers, Rodney (Thesis advisor) / Oldani, Robert (Committee member) / Levy, Benjamin (Committee member) / Arizona State University (Publisher)
Created2011
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Description
A systematic approach to composition has been used by a variety of composers to control an assortment of musical elements in their pieces. This paper begins with a brief survey of some of the important systematic approaches that composers have employed in their compositions, devoting particular attention to Pierre Boulez's

A systematic approach to composition has been used by a variety of composers to control an assortment of musical elements in their pieces. This paper begins with a brief survey of some of the important systematic approaches that composers have employed in their compositions, devoting particular attention to Pierre Boulez's Structures Ia . The purpose of this survey is to examine several systematic approaches to composition by prominent composers and their philosophy in adopting this type of approach. The next section of the paper introduces my own systematic approach to composition: the Take-Away System. The third provides several musical applications of the system, citing my work, Octulus for two pianos, as an example. The appendix details theorems and observations within the system for further study.
ContributorsHarbin, Doug (Author) / Hackbarth, Glenn (Thesis advisor) / DeMars, James (Committee member) / Etezady, Roshanne, 1973- (Committee member) / Rockmaker, Jody (Committee member) / Rogers, Rodney (Committee member) / Arizona State University (Publisher)
Created2011
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Description
During the twentieth-century, the dual influence of nationalism and modernism in the eclectic music from Latin America promoted an idiosyncratic style which naturally combined traditional themes, popular genres and secular music. The saxophone, commonly used as a popular instrument, started to develop a prominent role in Latin American classical music

During the twentieth-century, the dual influence of nationalism and modernism in the eclectic music from Latin America promoted an idiosyncratic style which naturally combined traditional themes, popular genres and secular music. The saxophone, commonly used as a popular instrument, started to develop a prominent role in Latin American classical music beginning in 1970. The lack of exposure and distribution of the Latin American repertoire has created a general perception that composers are not interested in the instrument, and that Latin American repertoire for classical saxophone is minimal. However, there are more than 1100 works originally written for saxophone in the region, and the amount continues to grow. This Modern Latin American Repertoire for Classical Saxophone: Recording Project and Performance Guide document establishes and exhibits seven works by seven representative Latin American composers.The recording includes works by Carlos Gonzalo Guzman (Colombia), Ricardo Tacuchian (Brazil), Roque Cordero (Panama), Luis Naón (Argentina), Andrés Alén-Rodriguez (Cuba), Alejandro César Morales (Mexico) and Jose-Luis Maúrtua (Peru), featuring a range of works for solo alto saxophone to alto saxophone with piano, alto saxophone with vibraphone, and tenor saxophone with electronic tape; thus forming an important selection of Latin American repertoire. Complete recorded performances of all seven pieces are supplemented by biographical, historical, and performance practice suggestions. The result is a written and audio guide to some of the most important pieces composed for classical saxophone in Latin America, with an emphasis on fostering interest in, and research into, composers who have contributed in the development and creation of the instrument in Latin America.
ContributorsOcampo Cardona, Javier Andrés (Author) / McAllister, Timothy (Thesis advisor) / Spring, Robert (Committee member) / Hill, Gary (Committee member) / Pilafian, Sam (Committee member) / Rogers, Rodney (Committee member) / Gardner, Joshua (Committee member) / Arizona State University (Publisher)
Created2011
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Description
There are many wireless communication and networking applications that require high transmission rates and reliability with only limited resources in terms of bandwidth, power, hardware complexity etc.. Real-time video streaming, gaming and social networking are a few such examples. Over the years many problems have been addressed towards the goal

There are many wireless communication and networking applications that require high transmission rates and reliability with only limited resources in terms of bandwidth, power, hardware complexity etc.. Real-time video streaming, gaming and social networking are a few such examples. Over the years many problems have been addressed towards the goal of enabling such applications; however, significant challenges still remain, particularly, in the context of multi-user communications. With the motivation of addressing some of these challenges, the main focus of this dissertation is the design and analysis of capacity approaching coding schemes for several (wireless) multi-user communication scenarios. Specifically, three main themes are studied: superposition coding over broadcast channels, practical coding for binary-input binary-output broadcast channels, and signalling schemes for two-way relay channels. As the first contribution, we propose an analytical tool that allows for reliable comparison of different practical codes and decoding strategies over degraded broadcast channels, even for very low error rates for which simulations are impractical. The second contribution deals with binary-input binary-output degraded broadcast channels, for which an optimal encoding scheme that achieves the capacity boundary is found, and a practical coding scheme is given by concatenation of an outer low density parity check code and an inner (non-linear) mapper that induces desired distribution of "one" in a codeword. The third contribution considers two-way relay channels where the information exchange between two nodes takes place in two transmission phases using a coding scheme called physical-layer network coding. At the relay, a near optimal decoding strategy is derived using a list decoding algorithm, and an approximation is obtained by a joint decoding approach. For the latter scheme, an analytical approximation of the word error rate based on a union bounding technique is computed under the assumption that linear codes are employed at the two nodes exchanging data. Further, when the wireless channel is frequency selective, two decoding strategies at the relay are developed, namely, a near optimal decoding scheme implemented using list decoding, and a reduced complexity detection/decoding scheme utilizing a linear minimum mean squared error based detector followed by a network coded sequence decoder.
ContributorsBhat, Uttam (Author) / Duman, Tolga M. (Thesis advisor) / Tepedelenlioğlu, Cihan (Committee member) / Li, Baoxin (Committee member) / Zhang, Junshan (Committee member) / Arizona State University (Publisher)
Created2011
Description
In many classication problems data samples cannot be collected easily, example in drug trials, biological experiments and study on cancer patients. In many situations the data set size is small and there are many outliers. When classifying such data, example cancer vs normal patients the consequences of mis-classication are probably

In many classication problems data samples cannot be collected easily, example in drug trials, biological experiments and study on cancer patients. In many situations the data set size is small and there are many outliers. When classifying such data, example cancer vs normal patients the consequences of mis-classication are probably more important than any other data type, because the data point could be a cancer patient or the classication decision could help determine what gene might be over expressed and perhaps a cause of cancer. These mis-classications are typically higher in the presence of outlier data points. The aim of this thesis is to develop a maximum margin classier that is suited to address the lack of robustness of discriminant based classiers (like the Support Vector Machine (SVM)) to noise and outliers. The underlying notion is to adopt and develop a natural loss function that is more robust to outliers and more representative of the true loss function of the data. It is demonstrated experimentally that SVM's are indeed susceptible to outliers and that the new classier developed, here coined as Robust-SVM (RSVM), is superior to all studied classier on the synthetic datasets. It is superior to the SVM in both the synthetic and experimental data from biomedical studies and is competent to a classier derived on similar lines when real life data examples are considered.
ContributorsGupta, Sidharth (Author) / Kim, Seungchan (Thesis advisor) / Welfert, Bruno (Committee member) / Li, Baoxin (Committee member) / Arizona State University (Publisher)
Created2011
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Description
This study examined attitudes and perspectives of classroom guitar students toward the reading of staff notation in music. The purpose of this qualitative research was to reveal these perceptions in the student's own words, and compare them to those of orchestra and band students of comparable experience. Forty-seven students from

This study examined attitudes and perspectives of classroom guitar students toward the reading of staff notation in music. The purpose of this qualitative research was to reveal these perceptions in the student's own words, and compare them to those of orchestra and band students of comparable experience. Forty-seven students from four suburban middle and high schools on the east coast were selected through purposeful sampling techniques. Research instruments included a Musical Background Questionnaire and a thirty-five question Student Survey. Follow-up interviews were conducted with students to clarify or expound upon collected data. Guitar, orchestra, and band teachers were interviewed in order to provide their perspectives on the issues discussed. The Student Survey featured a five-point Likert-type scale, which measured how much students agreed or disagreed with various statements pertaining to their feelings about music, note-reading, or their class at school. Collected data were coded and used to calculate mean scores, standard deviations, and percentages of students in agreement or disagreement with each statement. Interviews were audio recorded and transcribed into a word processing document for analysis. The study found that while a variety of perspectives exist within a typical guitar class, some students do not find note-reading to be necessary for the types of music they desire to learn. Other findings included a perceived lack of relevance toward the classical elements of the guitar programs in the schools, a lack of educational consistency between classroom curricula and private lesson objectives, and the general description of the struggle some guitarists experience with staff notation. Implications of the collected data were discussed, along with recommendations for better engaging these students.
ContributorsWard, Stephen Michael (Author) / Koonce, Frank (Thesis advisor) / Schmidt, Margaret (Thesis advisor) / Buck, Nancy (Committee member) / Rogers, Rodney (Committee member) / McLin, Katherine (Committee member) / Arizona State University (Publisher)
Created2011