Matching Items (182)
Description
As green buildings become more popular, the challenge of structural engineer is to move beyond simply green to develop sustainable, and high-performing buildings that are more than just environmentally friendly. For decades, Portland cement-based products have been known as the most commonly used construction materials in the world, and as a result, cement production is a significant source of global carbon dioxide (CO2) emissions, and environmental impacts at all stages of the process. In recent years, the increasing cost of energy and resource supplies, and concerns related to greenhouse gas emissions and environmental impacts have ignited more interests in utilizing waste and by-product materials as the primary ingredient to replace ordinary Portland cement in concrete systems. The environmental benefits of cement replacement are enormous, including the diversion of non-recycled waste from landfills for useful applications, the reduction in non-renewable energy consumption for cement production, and the corresponding emission of greenhouse gases. In the vast available body of literature, concretes consisting activated fly ash or slag as the binder have been shown to have high compressive strengths, and resistance to fire and chemical attack. This research focuses to utilize fly ash, by-product of coal fired power plant along with different alkaline solutions to form a final product with comparable properties to or superior than those of ordinary Portland cement concrete. Fly ash mortars using different concentration of sodium hydroxide and waterglass were dry and moist cured at different temperatures prior subjecting to uniaxial compressive loading condition. Since moist curing continuously supplies water for the hydration process of activated fly ash mortars while preventing thermal shrinkage and cracking, the samples were more durable and demonstrated a noticeably higher compressive strength. The influence of the concentration of the activating agent (4, or 8 M sodium hydroxide solution), and activator-to-binder ratio of 0.40 on the compressive strengths of concretes containing Class F fly ash as the sole binder is analyzed. Furthermore, liquid sodium silicate (waterglass) with silica modulus of 1.0 and 2.0 along with activator-to-binder ratio of 0.04 and 0.07 was also studied to understand its performance in contributing to the strength development of the activated fly ash concrete. Statistical analysis of the compressive strength results show that the available alkali concentration has a larger influence on the compressive strengths of activated concretes made using fly ash than the influence of curing parameters (elevated temperatures, condition, and duration).
ContributorsBanh, Kingsten Chi (Author) / Neithalath, Narayanan (Thesis director) / Rajan, Subramaniam (Committee member) / Mobasher, Barzin (Committee member) / Civil, Environmental and Sustainable Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
Description
This research covers the relationship between popular electronic dance music (EDM) and the seasons and climate. The precedence and relevance of the research is outlined through prior research initiatives by Karen Aplin and Paul Williams on the effect of weather on classical music. The hypothesis is that the climate will affect how music by artists residing within the climate and the seasons will affect the popularity of certain genres. Warmer climates will produce songs that are more upbeat and energetic while colder climates will result in songs that are more complex and heavy. The analysis of this hypothesis will be performed in two parts. The first will be a data driven analysis from Beatport.com's Top 100 EDM charts to observe the season's impact on genre popularity. The second will be a case study analysis of a number of artists from around the world to observe climate impact on EDM. From the analysis, we are able to draw the connection that climate does in fact have an impact on the types of music produced. Likewise, we are able to conclude that there is a distinct variation in deep house, techno/tech house, and house as a result of the seasons shifting. Techno/tech house is more popular in the warmer spring and summer months and house and deep house have a higher standing in the colder fall and winter months.
ContributorsMuzzy, Bryce Richard (Author) / Feisst, Sabine (Thesis director) / Tobias, Evan (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
Throughout history, African-Americans have had to fight for their civil rights. There were many ways used to voice their opinions and advance the civil rights movement, including protests and marches. One very effective method was through music and the creation of jazz. Louis Armstrong was an innovator and major influence of jazz. His abilities as an artist were recognized by society, above his political position or class status.
The topic of my thesis is Louis Armstrong and his influence on society and the Civil Rights Movement. The intent is to demonstrate how Louis Armstrong aided the Civil Rights Movement by using his music to promote social justice and racial equality. The focus will be on the context of African-Americans, their social status, and rights from the early 1900s to the mid-1900s. I will connect this to important events in that time such as the fight against Jim Crow Laws and how Louis Armstrong played a role in ending segregation. He accomplished this by pushing the movement forward through speeches, fund-raising events, and his innovation of jazz. Armstrong’s gift was a form of swing jazz that advanced improvisation and emotion of music.
He was criticized for playing to segregated audiences and was thought to keep offensive stereotypes alive. However, Louis Armstrong battled against these conspiracies by performing fund-raising events and through public political stances against the oppression of African-Americans. As an example, he was outspoken about his disapproval of government and the public for their treatment of the nine African-American students enrolled at Little Rock. This resulted in the first time the school would be unsegregated between whites and blacks. Louis Armstrong worked hard in the fight against segregation and used his mastery of jazz to advance the civil rights movement. Finally, I will make a proposal as to how society can learn from Louis Armstrong and how to inspire new innovative forms of positively influencing society to help the less fortunate.
The topic of my thesis is Louis Armstrong and his influence on society and the Civil Rights Movement. The intent is to demonstrate how Louis Armstrong aided the Civil Rights Movement by using his music to promote social justice and racial equality. The focus will be on the context of African-Americans, their social status, and rights from the early 1900s to the mid-1900s. I will connect this to important events in that time such as the fight against Jim Crow Laws and how Louis Armstrong played a role in ending segregation. He accomplished this by pushing the movement forward through speeches, fund-raising events, and his innovation of jazz. Armstrong’s gift was a form of swing jazz that advanced improvisation and emotion of music.
He was criticized for playing to segregated audiences and was thought to keep offensive stereotypes alive. However, Louis Armstrong battled against these conspiracies by performing fund-raising events and through public political stances against the oppression of African-Americans. As an example, he was outspoken about his disapproval of government and the public for their treatment of the nine African-American students enrolled at Little Rock. This resulted in the first time the school would be unsegregated between whites and blacks. Louis Armstrong worked hard in the fight against segregation and used his mastery of jazz to advance the civil rights movement. Finally, I will make a proposal as to how society can learn from Louis Armstrong and how to inspire new innovative forms of positively influencing society to help the less fortunate.
ContributorsSchmerler, Cameron (Author) / Wells, Christopher (Thesis director) / Feisst, Sabine (Committee member) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This paper is the culmination of my creative project for graduation from Barrett, the Honors College at Arizona State University. The creative portion of the project consisted of researching Québécois (or French-Canadian) composers and specifically finding music for flute and piano. I wished to find pieces that could prove valuable in expanding the standard flute repertoire. My goal with this project was to shed light on some fairly unknown and certainly under-played pieces for flute and piano by French-Canadian composers and learn those pieces for my senior recital on March 2, 2020. This summary of the research experience and the process of recital preparation is intended to be a guide for flutists who may work on these pieces in the future and musicians on any instrument who take on a similar project of introducing new pieces to their instrument’s existing repertory.
ContributorsRule, Renee Rejane (Author) / Buck, Elizabeth (Thesis director) / Feisst, Sabine (Committee member) / Dean, W.P. Carey School of Business (Contributor) / School of Music (Contributor) / Department of English (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
By 2030, the number of people above the age of 65 is projected to outnumber those under the age of 18 for the first time in United States history. With a growing older population, it is predicted that the amount of people moving into nursing homes and care facilities will also increase. However, a pressing problem is the high prevalence of depression and anxiety among elderly people residing in institutionalized living arrangements. With drugs and antidepressants less effective at treating patients with both dementia and depression, there is a need for more non-pharmacological interventions geared toward improving older adults’ mental well-being. In response, the potential therapeutic effect of exploring virtual nature through EcoRift—which provides dynamic and realistic 360-degree audio and visual environments—on older adults’ mental well-being was examined in this study. Ten individuals (3 men and 7 women) aged 50 and above were recruited and each participant experienced the virtual nature sojourns for 15 minutes once a week, for a total of three weeks. Pre- and post- virtual reality (VR) survey questionnaires were implemented to gauge the participants’ emotional response, including overall well-being and level of relaxation. Physiological measures such as heart rate and blood pressure were also taken before and after the VR experience. Findings show that immersion in nature through virtual reality improves older adults’ mental well-being by eliciting a transient sense of relaxation, peacefulness, and happiness. Further studies need to be performed in order to validate EcoRift’s effect on physiology; however, preliminary data suggests that immersive virtual nature also acts to decrease blood pressure. Overall, EcoRift shows to be a promising tool for bridging access to remote natural environments and may be a mentally beneficial activity for patients isolated in hospitals, hospices, and nursing homes.
ContributorsChien, Naomi Wei-Chia (Author) / Feisst, Sabine (Thesis director) / Cordes, Colleen (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
DescriptionAcoustic Ecology is an undervalued field of study of the relationship between the environment and sound. This project aims to educate people on this topic and show people the importance by immersing them in virtual reality scenes. The scenes were created using VR180 content as well as 360° spatial audio.
ContributorsNeel, Jordan Tanner (Author) / LiKamWa, Robert (Thesis director) / Feisst, Sabine (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Concrete stands at the forefront of the construction industry as one of the most useful building materials. Economic and efficient improvements in concrete strengthening and manufacturing are widely sought to continuously improve the performance of the material. Fiber reinforcement is a significant technique in strengthening precast concrete, but manufacturing limitations are common which has led to reliance on steel reinforcement. Two-dimensional textile reinforcement has emerged as a strong and efficient alternative to both fiber and steel reinforced concrete with pultrusion manufacturing shown as one of the most effective methods of precasting concrete. The intention of this thesis project is to detail the components, functions, and outcomes shown in the development of an automated pultrusion system for manufacturing textile reinforced concrete (TRC). Using a preexisting, manual pultrusion system and current-day manufacturing techniques as a basis, the automated pultrusion system was designed as a series of five stations that centered on textile impregnation, system driving, and final pressing. The system was then constructed in the Arizona State University Structures Lab over the course of the spring and summer of 2015. After fabricating each station, a computer VI was coded in LabVIEW software to automatically drive the system. Upon completing construction of the system, plate and angled structural sections were then manufactured to verify the adequacy of the technique. Pultruded TRC plates were tested in tension and flexure while full-scale structural sections were tested in tension and compression. Ultimately, the automated pultrusion system was successful in establishing an efficient and consistent manufacturing process for continuous TRC sections.
ContributorsBauchmoyer, Jacob Macgregor (Author) / Mobasher, Barzin (Thesis director) / Neithalath, Narayanan (Committee member) / Civil, Environmental and Sustainable Engineering Programs (Contributor) / The Design School (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Manufacture of building materials requires significant energy, and as demand for these materials continues to increase, the energy requirement will as well. Offsetting this energy use will require increased focus on sustainable building materials. Further, the energy used in building, particularly in heating and air conditioning, accounts for 40 percent of a buildings energy use. Increasing the efficiency of building materials will reduce energy usage over the life time of the building. Current methods for maintaining the interior environment can be highly inefficient depending on the building materials selected. Materials such as concrete have low thermal efficiency and have a low heat capacity meaning it provides little insulation. Use of phase change materials (PCM) provides the opportunity to increase environmental efficiency of buildings by using the inherent latent heat storage as well as the increased heat capacity. Incorporating PCM into concrete via lightweight aggregates (LWA) by direct addition is seen as a viable option for increasing the thermal storage capabilities of concrete, thereby increasing building energy efficiency. As PCM change phase from solid to liquid, heat is absorbed from the surroundings, decreasing the demand on the air conditioning systems on a hot day or vice versa on a cold day. Further these materials provide an additional insulating capacity above the value of plain concrete. When the temperature drops outside the PCM turns back into a solid and releases the energy stored from the day. PCM is a hydrophobic material and causes reductions in compressive strength when incorporated directly into concrete, as shown in previous studies. A proposed method for mitigating this detrimental effect, while still incorporating PCM into concrete is to encapsulate the PCM in aggregate. This technique would, in theory, allow for the use of phase change materials directly in concrete, increasing the thermal efficiency of buildings, while negating the negative effect on compressive strength of the material.
ContributorsSharma, Breeann (Author) / Neithalath, Narayanan (Thesis advisor) / Mobasher, Barzin (Committee member) / Rajan, Subramaniam D. (Committee member) / Arizona State University (Publisher)
Created2013
Description
Due to high DRAM access latency and energy, several convolutional neural network(CNN) accelerators face performance and energy efficiency challenges, which are critical for embedded implementations. As these applications exploit larger datasets, memory accesses of these emerging applications are increasing. As a result, it is difficult to predict the combined dynamic random access memory (DRAM) workload behavior, which can sabotage memory optimizations in software. To understand the impact of external memory access on CNN accelerators which reduces the high DRAMaccess latency and energy, simulators such as RAMULATOR and VAMPIRE have been proposed in prior work. In this work, we utilize these simulators to benchmark external memory access in CNN accelerators. Experiments are performed generating trace files based on the number of parameters and data precision and also using trace file generated for CNN Accelerator Altera Arria 10 GX 1150 FPGA data to complete the end to end workflow using the mentioned simulators. Besides that, certain modifications were made in the default VAMPIRE code to implement certain functionalities such as PREA(Precharge All) and REF(Refresh). Then, precalculated energies were computed for DDR3, DDR4, and HBM based on the micron model to mention it in the dram specification file inputted to the VAMPIRE tool. An experimental study was performed and a comparison is made between DDR3, DDR4, and HBM, it was proved that DDR4 is nearly 31% more energy-efficient than DDR3 and HBMis 54% energy-efficient than DDR3. Performed modeling and experimental analysis on a large set of data and then split it into a set of data and compared the results of the small sets multiplied with the number of sets and the large data set and concluded that the results were nearly the same. Finally, a GUI is developed by wrapping both the simulators. GUI provides user-friendly access and can analyze the parameters without much prior knowledge and understanding of the working.
ContributorsPannala, Manvitha (Author) / Cao, Yu (Thesis advisor) / Chakrabarti, Chaitali (Committee member) / Seo, Jae-Sun (Committee member) / Arizona State University (Publisher)
Created2021
Description
Convolutional neural networks(CNNs) achieve high accuracy on large datasets but requires significant computation and storage requirement for training/testing. While many applications demand low latency and energy-efficient processing of the images, deploying these complex algorithms on the hardware is a challenging task. This dissertation first presents a compiler-based CNN training accelerator using DDR3 and HBM2 memory. An optimized RTL library is implemented to perform training-specific tasks and an RTL compiler is developed to generate FPGA-synthesizable RTL based on user-defined constraints. High Bandwidth Memory(HBM) provides efficient off-chip communication and improves the training performance. The impact of HBM2 on CNN training workloads is analyzed and compressively compared with DDR3. For training ResNet-20/VGG-like CNNs for the CIFAR-10 dataset, the proposed CNN training accelerator on Stratix-10 GX FPGA(DDR3) demonstrates 479 GOPS performance, and on Stratix-10 MX FPGA(HBM) shows 4.5/9.7 X energy-efficiency improvement compared to Tesla V100 GPU. Next, the FPGA online learning accelerator is presented. Adopting model segmentation techniques from Progressive Segmented Training(PST), the online learning accelerator achieved a 4.2X reduction in training latency. Furthermore, this dissertation presents an 8-bit floating-point (FP8) training processor which implements (1) Highly parallel tensor cores that maintain high PE utilization, (2) Hardware-efficient channel gating for dynamic output activation sparsity (3) Dynamic weight sparsity based on group Lasso (4) Gradient skipping based on FP prediction error. The 28nm prototype chip demonstrates significant improvements in FLOPs reduction (7.3×), energy efficiency (16.4 TFLOPS/W), and overall training latency speedup (4.7×) for both supervised training and self-supervised training tasks. In addition to the training accelerators, this dissertation also presents a CNN inference accelerator on ASIC(FixyNN) and FPGA(FixyFPGA). FixyNN consists of a fixed-weight feature extractor that generates ubiquitous CNN features and a conventional programmable CNN accelerator. In the fixed-weight feature extractor, the network weights are hard-coded into hardware and used as a fixed operand for the multiplication. Experimental results demonstrate FixyNN can achieve very high energy efficiencies up to 26.6 TOPS/W, and FixyFPGA achieves $2.34\times$ higher GOPS on ImageNet classification. In summary, this dissertation comprehensively discusses novel architectures of high-performance and energy-efficient ASIC/FPGA CNN inference/training accelerators.
ContributorsKolala Venkataramaniah, Shreyas (Author) / Seo, Jae-Sun (Thesis advisor) / Cao, Yu (Committee member) / Chakrabarti, Chaitali (Committee member) / Fan, Deliang (Committee member) / Arizona State University (Publisher)
Created2022