67 research outputs found
Watt-level fluoroindate based glass fibre laser operating around 3 μm
No full textWatt-level ∼2.9 μm laser emission in Ho3+/Pr3+ co-doped InF3–ZnF2–BaF2-GaF3-SrF2-PbF2-LiF-YF3-LaF3-NaF fluoroindate glass fibre is demonstrated for the first time. The glass composition is refined to obtain glasses with suitable thermal properties to be drawn into a fibre. Refractive indices are adjusted to operate as core and cladding materials. The maximum output power of 1.35 W with a slope efficiency of 21.14% is achieved at the wavelength of 2864 nm by using a 27 cm length fluoroindate fibre under a 1150 nm Raman laser pumping. The fibre has an attenuation of ∼1 dB/m at 1570 nm, and the effect of fibre length on the slope efficiency is used to optimize the fibre length. The experimental results indicate that fluoroindate glass is a very promising glass material for lasing applications operating within the mid-infrared wavelength range
Place attachment and alumni's experience during the homecoming weekend
Get PDFThis research examines the effects of returning alumni’s experience as tourists and event attendees on their place attachment to the local community during the homecoming weekend in college towns. A conceptual framework was developed to capture the relationship among alumni homecoming attendees’ festival experience, destination experience, place attachment, and satisfaction. A self-administrated questionnaire was designed based on the related literature. The data in this study were collected in three mid-west public universities in the United States during their homecoming weekends. The participants were alumni who do not currently live in the community. 351 valid surveys were collected.
The major findings supported the proposed framework in general, and reflected the relationship among each construct in specific. In destination experience domain, both Destination Products and Natural Environment showed positive and significant effect on all three dimensions of Place Attachment, namely Place Identity, Place Dependence, and University Identity. In festival experience domain, only Festival Program & Information had positive and significant effect on Place Dependence and University Identity, but no significant effect on Place Identity. The other two dimensions of festival experience, Festival Souvenirs and Festival Facilities, had no significant effect on any dimension of place attachment. For Satisfaction, it was significantly affected by Place Dependence and University Identity, but not significantly influenced by Place Identity. In addition, Place Dependence played a mediating role between destination experience and satisfaction. Hence, from the perspective of practice, local community marketers and festival managers should coordinate to provide alumni with memorable experience and to enhance their place attachment, which will further improve satisfaction.Item withdrawn by Laura Spradlin ([email protected]) on 2014-04-29T14:28:58Z
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University of Illinois Theses & Dissertations (ID: 1)
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Automated Detection of Extracellular Action Potentials Propagation and Short Latency Coupling
Get PDFMulti-electrode arrays (MEAs) non-invasively record extracellular action potentials (eAPs, also known as spikes) from hundreds of neurons simultaneously. We developed two algorithms that work with recordings from such devices. The first algorithm allows for automated detection of action potential propagation. Since extracellular electrodes sample from the local electrical field, each electrode can detect eAPs from multiple nearby neurons. One method to assign eAPs to their source neurons is to use spike sorting, a computational process that groups eAPs from single `units' based on assumptions of how spike waveforms correlate with different neuronal sources, to interpret spike trains at individual electrodes of high-density arrays. However, when experimental conditions result in changes to eAP waveforms, spike sorting routines may have difficulty correlating eAPs from multiple neurons at single electrodes before and after such waveform changes. We present here a novel, empirical method for unambiguously isolating eAPs from individual, uniquely identifiable neurons, based on automated multi-point detection of action potential propagation. This method is insensitive to changes in eAP waveform morphology because it makes no assumptions about the relationship between spike waveform and neuronal source. Our algorithm for automated detection of action potential propagation produces a `fingerprint' that uniquely identifies those spikes from each source neuron. By unambiguously isolating eAPs from multiple neurons in each recording, on a range of platforms and experimental preparations, our method now enables high-content screening with contemporary MEAs. We outline the limitations and strengths of propagation-based isolation of eAPs from single neurons and propose how our automated method complements spike sorting and could be adapted to in vivo use. Our second algorithm uses the information extracted from the first algorithm to non-invasively detect synaptic relationships among neurons from in vitro networks. Our methods identify short latency spiking relationships between neurons with properties expected of synaptically coupled neurons, namely they were recapitulated by direct stimulation and were sensitive to changing the number of active synaptic sites. Our methods enabled us to assemble a functional subset of neuronal connectivity in our cultures
Automated Detection of Extracellular Action Potentials Propagation and Short Latency Coupling
No full textLiveable port, passive zone: The regeneration of Old City Port in Rotterdam brought by sustainable transformation
No full textUrban regenerationUrbanismArchitectur
Travel experience and everyday life experience in the mobilities paradigm
Get PDFIn today’s fast-moving and highly inter-connected world, tourism activities and experiences are closely bound up with people’s everyday life. The purpose of this study is to explore the complex relationship and interactions between travel experience and everyday life experience through the lens of mobilities theory. By grounding the theoretical discussions of mobilities paradigm in practice, this study was set in the context of Chinese tourists traveling to the heartland of the United States. Specifically, by adopting mixed methods approach, this research studied how tourists make sense of their travel experience, identified the linkages between travel experience and major life domains, and examined the influence of travel experience on attitudes toward major life domains.
First, this study interviewed with 19 Chinese tourists who traveled to the Route 66 and revealed four important aspects of travel experience: gaining knowledge about American culture and history, enjoying nature-based scenery, understanding local’s everyday life, and interacting with local people. Second, an open-ended questionnaire survey with 50 Chinese participants revealed six major life domains including economic, environment, health, family & social, leisure, and social system. By comparing interview findings and survey results, three key linkages were identified between travel experience and major life domains: environment, education, and social.
Third, based upon the key linkages identified, an open-ended questionnaire survey was developed and conducted among 323 Chinese tourists who traveled to the United States to explore the impacts of travel experience on the attitude change regarding the three aspects: environmental, educational and social. The results indicate that travel experience is significantly correlated to tourist’s attitude change toward these three aspects. By applying the K-means algorithm, the tourists were clustered into two groups based upon their attitude change after the trip. 1) Positive attitude changes in all three dimensions; 2) Little change in environmental aspect, negative attitude changes in educational and social aspects. The findings indicate that different travel experience may have different effects on tourists’ attitude change regarding the three life domains. This study furthers our understanding of how travel experience relates to and resonates with people’s everyday life. It contributes to our understanding of the complex interaction process between travel experience and everyday life in the context of cross-cultural tourism. The findings of the study further our understanding of the significance and inseparability of linkages between travel experience and everyday life experience and provide practical insights to tourism marketers, managers and planners who are interested in the burgeoning market niche of Chinese tourists to the heartland of the United States.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-05-01The student, Qian Li, accepted the attached license on 2019-02-26 at 10:21.The student, Qian Li, submitted this Dissertation for approval on 2019-02-26 at 10:22.This Dissertation was approved for publication on 2019-03-04 at 09:14.DSpace SAF Submission Ingestion Package generated from Vireo submission #13403 on 2019-08-22 at 16:20:00Made available in DSpace on 2019-08-23T20:44:32Z (GMT). No. of bitstreams: 2
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Few-Shot Text Classification with Global–Local Feature Information
No full textMeta-learning frameworks have been proposed to generalize machine learning models for domain adaptation without sufficient label data in computer vision. However, text classification with meta-learning is less investigated. In this paper, we propose SumFS to find global top-ranked sentences by extractive summary and improve the local vocabulary category features. The SumFS consists of three modules: (1) an unsupervised text summarizer that removes redundant information; (2) a weighting generator that associates feature words with attention scores to weight the lexical representations of words; (3) a regular meta-learning framework that trains with limited labeled data using a ridge regression classifier. In addition, a marine news dataset was established with limited label data. The performance of the algorithm was tested on THUCnews, Fudan, and marine news datasets. Experiments show that the SumFS can maintain or even improve accuracy while reducing input features. Moreover, the training time of each epoch is reduced by more than 50%
Three-level performance optimization for heterogeneous systems based on software prefetching under power constraints
Get PDFHigh power consumption has become one of the critical problems restricting the development of high-performance computers. Recently, there are numerous studies on optimizing the execution performance while satisfying the power constraint in recent years. However, these methods mainly focus on homogeneous systems without considering the power or speed difference of heterogeneous processors, so it is difficult to apply these methods in the heterogeneous systems with an accelerator. In this paper, by abstracting the current execution model of a heterogeneous system, we propose a new framework for managing the system power consumption with a three-level power control mechanism. The three levels from top to bottom are: system-level power controller (SPC), group-level power controller (GPC) and unit-level power controller (UPC). The study establishes a power management method for software prefetch in UPC to scale frequency and voltage of programs, select the optimal prefetch distance and guide optimization process to satisfy the constraint boundary according to power constraints. The strategy for dividing power based on key threads is put forward in GPC to preferentially allocate power to threads in key paths. In SPC, a method for evaluating the performance of heterogeneous processing engines is designed for dividing power in order to improve the overall execution performance of the system while sustaining the fairness between concurrent applications. Finally, the proposed framework is verified on a central processing unit (CPU)-graphics processing unit (GPU) heterogeneous system.submittedVersionPublisher embargo until September 2020 (c) This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0
Whole procedure heterogeneous multiprocessors low-power optimization at algorithm-level
Get PDFPower consumption reduction is the primary problem for the design and implementation of heterogeneous parallel systems. As it is difficult to make progress in the low-power optimization in the hardware layer to meet the increasing need for power optimization, more attention has been paid to low-power optimization in the hardware layer. The relationship between the execution time and dynamic power consumption of programs divided between homogeneous and heterogeneous computing sections is analysed. In addition, the communication power consumption for data transmission and dynamic multi-task allocation are described. Afterwards, this study establishes a power model for the whole procedure of heterogeneous parallel systems. By using this model, a selection algorithm is designed for the optimal frequency of processors with optimal power consumption under time constraints, optimal descent-based time allocation algorithms in multiple computing sections, and profiling dynamic analysis-based integral linear programming at algorithm-level, separately. Finally, the validity of the power optimization algorithm is ascertained using typical applications.submittedVersionhis is a pre-print of an article published in Cluster Comput (2018). The final authenticated version is available online at: https://doi.org/10.1007/s10586-018-1920-
Gaseous cyclohexanone catalytic oxidation by a self-assembled Pt/γ-Al<sub>2</sub>O<sub>3</sub>catalyst: process optimization, mechanistic study, and kinetic analysis
No full textγ-Al2O3nanocatalysts with a Pt loading of 0.6–1.0% were prepared successfullyviaa self-assembly method to be used in the catalytic oxidation of cyclohexanone in a fixed-bed reactor.</p
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