45,271 research outputs found
Assessment of Self-Archiving in Institutional Repositories: Depositorship and Full-Text Availability
No full textThis research evaluates the success of open access self-archiving in several well-known institutional repositories. Two assessment factors have been applied to examine the current practice of self-archiving: depositorship and the availability of full text. This research discovers that the rate of author self-archiving is low and that the majority of documents have been deposited by a librarian or administrative staff. Similarly, the rate of full-text availability is relatively low, except for Australian repositories. By identifying different practices of self-archiving, repository managers can create new strategies for the operation of their repositories and the development of archiving policies
Sun Yuqi e Sérgio Capparelli: história de uma tradução
No full textRelato sentimental de uma leitura dos Poemas Clássicos Chineses, tradução de Sérgio Capparelli e Sun Yuqi. Lançado em 2012, pela editora L&PM de Porto Alegre, Brasil. O livro contém uma tradução de três poetas máximos da Literatura Chinesa, a saber: Li Bai, Du Fu e Wang Wei (todos eles da dinastia Tang, séc. VIII d. C.). O livro dos tradutores brasileiros será tratado com múltiplas referências ao clássico de Lao Tzu (老子), o Tao Te Ching (道德經, séc. VI a.C.), e ao poema do escritor português Camilo Pessanha (1867-1926), “Ao longe os barcos de flores” (1899).
Distributed Grid Analytics Platform (DGAP) for power grid monitoring at the distribution level
No full textPhasor measurement units (PMUs) which measure electrical waves with real-time synchronization at widely spread points across the power grid over great benefits. While the PMU device concept is well known in the power industry, the field of power system analysis stands to benefit greatly from using different methods of designing and implementing an inexpensive PMU that can be widely and densely distributed on the grid. Traditional PMUs are mainly installed at the transmission level, where they are hard to install and maintain, and can be expensive due to the rating requirements of the components. Given their benefits and increasingly widespread installation, easier-to-maintain and less costly PMUs are desired.
In 2000, frequency disturbance recorders (FDRs), which are single-phase PMUs that monitor the power grid at the 120 V distribution level, were operated for the Frequency monitoring Network (FNET) project by Virginia Tech and the University of Tennessee. While installing FDRs at the low-voltage distribution level of the power grid was a great step toward reducing the cost and limitations of PMU use, there are still drawbacks and significant room for improvement: the sampling frequency is low at 1440 samples per second (SPS), there is no auxiliary power supply to support the device during an atypical power grid event, and the USD 2000 price can be driven lower.
This thesis introduces the Distributed Grid Analytics Platform (DGAP) which has a higher sampling rate (20k SPS), a backup power supply, smaller size, and much lower cost (USD 200) while keeping the functionality of the FDRs including accurate data acquisition, GPS time synchronization, internet connectivity, and open source data upload. The improvements were realized by a more succinct approach for the system design and more updated component selection, which will be explained in this thesis. The designed DGAPs were built into prototypes and tested in household power outlets, experimentally validating their functionality.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo termsThe student, Yuqi Li, accepted the attached license on 2015-04-28 at 11:38.The student, Yuqi Li, submitted this Thesis for approval on 2015-04-28 at 12:17.This Thesis was approved for publication on 2015-04-30 at 10:08.DSpace SAF Submission Ingestion Package generated from Vireo submission #8151 on 2015-07-22 at 10:34:24Made available in DSpace on 2015-07-22T22:17:57Z (GMT). No. of bitstreams: 2
LI-THESIS-2015.pdf: 34548329 bytes, checksum: 2281c61c42a9bd740297bfc5cb99f2b7 (MD5)
LICENSE.txt: 4204 bytes, checksum: ed0ec42f211fdd25bddfb50d83cd6296 (MD5)
Previous issue date: 2015-04-3
Supplemental Material, PSM4FSSL_Supporting_information_lih_editFD - Improving the tribological and mechanical properties of polyimide composites by incorporating functionalized graphene
No full textSupplemental Material, PSM4FSSL_Supporting_information_lih_editFD for Improving the tribological and mechanical properties of polyimide composites by incorporating functionalized graphene by Yuqi Li, Qiu Zhang, Hong Ruan, Fengan Li, Xu Xu, Xiaohua Huang and Shaorong Lu in High Performance Polymers</p
sj-docx-1-inq-10.1177_00469580241246461 – Supplemental material for Impact of Long COVID on Health-Related Quality of Life Among Patients After Acute COVID-19 Infection: A Cross-Sectional Study
No full textSupplemental material, sj-docx-1-inq-10.1177_00469580241246461 for Impact of Long COVID on Health-Related Quality of Life Among Patients After Acute COVID-19 Infection: A Cross-Sectional Study by Chengyao Sun, Ziwei Liu, Sixuan Li, Yuqi Wang and Guoxiang Liu in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
Information Literacy and Librarian-Faculty Collaboration: A Model for Success:
No full textIn the age of information explosion and technological advancement, issues of information storage, organization, access, and evaluation have become necessarily important in our societies. Addressing issues of information literacy and designing how they can be best integrated in students' learning process are of critical importance. Library professionals in the United States, particularly in the academia, have realized the importance of information literacy and have attempted in various ways to address these issues. The ultimate goal is to make information literacy an integral part of the academic curriculum, thus helping students to succeed not only during their years in college but also for their lifelong career choices. This article will look at ways of how information literacy can best be incorporated into students' academic experience, and how this process can make students' learning meaningful and successful. Specifically, the author will examine the model of librarian-faculty collaboration in integrating information literacy into the curriculum, as demonstrated in the Ohio Five Colleges' Information Literacy Program.Publisher version of this article is available at: http://www.white-clouds.com/iclc/cliej/cl24.ht
Supplemental Material - Effects of Tai Chi on Lung Function, Exercise Capacity and Psychosocial Outcomes in Patients With Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials
No full textSupplemental Material for Effects of Tai Chi on Lung Function, Exercise Capacity and Psychosocial Outcomes in Patients With Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials by Ying Yang, Li Yang, Xuejin Yang, and Yuqi Tian in Biological Research For Nursing.</p
sj-tif-1-npx-10.1177_1934578X231204742 - Supplemental material for Isobavachalcone Inhibits Hyperglycemia and Hyperlipemia in Type 2 Diabetes and the Underlying Mechanisms
No full textSupplemental material, sj-tif-1-npx-10.1177_1934578X231204742 for Isobavachalcone Inhibits Hyperglycemia and Hyperlipemia in Type 2 Diabetes and the Underlying Mechanisms by Zhenhong Xia, Xiaoran Liu, Yuqi Li, Zhiqi Li, Feixue Ni, Geng Tian and Wenguo Jiang in Natural Product Communications</p
sj-pdf-1-sri-10.1177_15533506211068930 – Supplemental Material for Evaluation of Different Pain-Control Procedures for Post-cardiac Surgery: A Systematic Review and Network Meta-Analysis
No full textSupplemental Material, sj-pdf-1-sri-10.1177_15533506211068930 for Evaluation of Different Pain-Control Procedures for Post-cardiac Surgery: A Systematic Review and Network Meta-Analysis by Mengjie Hu, Yuqi Wang, Bihai Hao, Cheng Gong, and Zhen Li in Surgical Innovation</p
Detection and classification in the compressed domain for multispectral images
No full textThe student, Yuqi Li, accepted the attached license on 2020-11-30 at 12:57.The student, Yuqi Li, submitted this Thesis for approval on 2020-11-30 at 13:00.This Thesis was approved for publication on 2020-12-02 at 16:09.Various applications would benefit from rapid inference on multispectral images at the point of sensing. However, the acquisition of a full-resolution multispectral image requires advanced spectrometers and prohibitive sensing time. Also, performing the high-level vision tasks such as classification and segmentation on the multispectral data consumes more computation power than on the common RGB images. Compressed sensing (CS) circumvents this sensing process usually using a random sensing matrix to acquire fewer measurements and reconstructs the multispectral image based on a sparsity assumption. The further high-level analysis of images is performed on the reconstructed high-dimensional images. And a random sensing matrix may not be physically realizable or the best fit for extracting information pertaining to a high-level vision task. A realizable low-cost data acquisition scheme and a fast processing system that makes inference based on the acquired signal are desired for multispectral images.
In this thesis, we present a systematic way to jointly optimize the sensing scheme subject to optical realizability constraints, and make inference of the multispectral image in the compressed domain.
In the first part of the thesis, we state some open questions in compressed inference. We review the theory on inference in the compressed domain. We formulate the problem for compressed inference and state metrics to evaluate the inference performance. We then review some existing realizable optical compressed sensing imaging systems designed for multispectral images and derive the forward model of data acquisition. The feasibility of performing detection, classification and segmentation in the compressed domain directly is then discussed for the multispectral images. Using tools from detection and estimation theory, we derive the optimal decision rule to perform compressed detection, classification and segmentation in a simple data setting. Also, the feasibility of adjusting the optical acquisition schemes jointly with the neural network is discussed. The architecture of neural networks that can achieve the performance of the optimal decision rule is proposed and the existence of optimal weights is discussed.
Next, we use a synthetic dataset to compare the performance of the proposed neural network and the optimal decision rule. Several synthetic multispectral image datasets and a clinical tumor biopsy dataset are used to verify the improvement of the obtained sensing scheme and compare the performance of the neural network with that of a known optimal decision rule.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-03-04 without embargo termsDSpace SAF Submission Ingestion Package generated from Vireo submission #15989 on 2021-03-04 at 15:35:22Made available in DSpace on 2021-03-05T21:38:10Z (GMT). No. of bitstreams: 2
LI-THESIS-2020.pdf: 6787172 bytes, checksum: 6221afafc9217cae2a222043f58793e8 (MD5)
LICENSE.txt: 4204 bytes, checksum: a4d5201cd7b4658ebe4e4767cb1bbed5 (MD5)
Previous issue date: 2020-12-0
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