250 research outputs found
Jingyue fa hui: [4 juan]. v.1
No full text葉天士著.框18.9x14公分, 9行24字, 白口, 左右雙邊, 單黑魚尾, 版心上鐫書名, 中鐫卷次.綫裝, 1函.Caption title: 景岳全書發揮.Ye Tianshi zhu.Kuang 18.9 x 14 gong fen, 9 hang 24 zi, bai kou, zuo you shuang bian, dan hei yu wei, ban xin shang juan shu ming, zhong juan juan ci.Xian zhuang, 1 han.Caption title: Jingyue quan shu fa hui
Sensor Selection with Composite Features for Human-Prosthetic Interfaces (SS-CF)
No full textMatlab implementation of the sensor selection algorithm presented in paper: T. Yu, A. Mohammadi, Y. Tan, P. Choong and D. Oetomo, "Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1732-1742, 2023, doi: 10.1109/TNSRE.2023.3258225Quick Start:Run Main_SSCF.m for an example.Dataset:Dataset: dataset.mat contains one non-disabled subject performing forward reaching to spatial target points with their upper limb.The goal is to select q sensors that can best differentiate the three elbow poses required by the spatial target points.Upper limb and upper body joint kinematics and sEMG signals are recorded with features extracted.The full dataset of 10 subjects is available at: https://doi.org/10.26188/23294693.Citation:We would appreciate your acknowledgement by citing the paper:@article{Yu2023,author={Yu, Tianshi and Mohammadi, Alireza and Tan, Ying and Choong, Peter and Oetomo, Denny},journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering}, title={Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces}, year={2023},volume={31},pages={1732-1742},doi={10.1109/TNSRE.2023.3258225}}For more details and updates please check: https://github.com/tianshi-yu/SS-CF_Sensor_Selection_with_Composite_Features</p
Full-waveform seismic tomography using earthquake and ambient noise data: with application to the Alaskan lithosphere
No full textUtilizing seismic waves propagating in the subsurface, seismic tomography is one of the most important methods to image the Earth's interior. Benefiting from the use of numerical simulations as forward operators, full-waveform-based seismic tomography is able to account for the 3-D complex geometries and heterogeneities of the Earth, and image the subsurface with high resolutions and high fidelity. Despite its success in tomographic studies over the past two decades, efforts are still needed to improve the efficiency and accuracy of the full-waveform seismic tomography workflow, and adapt full-waveform seismic tomography to imaging tasks at various scales and of different datasets.
This thesis aims to address three key challenges in full-waveform seismic tomography, namely efficient continental-scale seismic wave simulation, joint inversion of ambient noise and earthquake data, and accurate and flexible implementation of wavefield injection for scattering imaging of teleseismic waves. A method is first developed to enable flexible and accurate seismic wave simulations with perfectly matched layers (PML) at continental scales (10-60 degrees), and a series of numerical examples are provided to validate its effectiveness. A workflow is then established to jointly invert ambient noise and local earthquake data, which, in combination with the method developed for continental-scale wave simulations, is applied to imaging the Alaskan lithosphere using recently available seismic datasets in Alaska. The obtained images provide new insights into several key questions regarding the tectonic evolution of Alaska. Finally, a new formulation for the wavefield injection problem is derived as a special case of interface discontinuity problem which not only allows for an accurate and flexible implementation of wavefield injection, but also ties together various published implementations of wavefield injection. Numerical examples demonstrate that the proposed implementation of wavefield injection is useful for modeling interactions between incoming waves and local structures at various scales, and inverting scattered waves based on full-waveform seismic tomography.Ph.D
Gauging student interests and comfort with robotics terms after participating in a soft robotics activity
No full textRobotics has been successfully used in a wide array of educational applications, from K-12 classrooms in the pre-engineering setting to university laboratories teaching advanced applications. However, studies revealed that the participants in robotics education are predominantly male. It is indicated that women are more inclined to participate in engineering activities including robotics, if there are identifiable human-centric benefits or applications. Soft robotics is a specific field of robotics where low modulus or high compliance materials are used to construct the robots. Due to its special material properties, soft robotics have been used in broad human-centered applications and have the potential to attract a diverse audience. In this study, we examined the effectiveness of using soft robotics as an introductory tool into the field of robotics, a role usually filled by its traditionally rigid counterpart. During the spring semester of 2020, we conducted a pilot study with a group of students from the University Laboratory High School to compare students’ comfort level with basic robotics terms before and after experiencing a soft robotics activity. The research team prepared kits containing necessary components to build several types of soft robots and the participants were able to complete the building activities within three class periods. Using pre- and post-activity surveys, both quantitative and qualitative data were collected. Data analysis shows that student participants displayed a noticeable change in comfort on the robotics terms suggesting soft robotics is an adequate alternative to rigid robotics as an introductory tool for robotics.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-12-01The student, Tianshi Fu, accepted the attached license on 2020-12-03 at 09:01.The student, Tianshi Fu, submitted this Thesis for approval on 2020-12-03 at 09:09.This Thesis was approved for publication on 2020-12-04 at 16:22.DSpace SAF Submission Ingestion Package generated from Vireo submission #16050 on 2021-03-04 at 16:20:34Made available in DSpace on 2021-03-05T21:42:48Z (GMT). No. of bitstreams: 2
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Previous issue date: 2020-12-04Embargo set by: Seth Robbins for item 117228
Lift date: 2023-03-05T21:43:00Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Cube2sph : a toolkit enabling flexible and accurate continental-scale seismic wave simulations using the SPECFEM3D_Cartesian package
No full textTo enable flexible and accurate seismic wave simulations at continental scales (10°−60°) based on the spectral-element method using the open-source SPECFEM3D_Cartesian package, we develop a toolkit, Cube2sph, that allows the generation of customized spherical meshes that account for the Earth's curvature. This toolkit enables the usage of the perfectly matched layer (PML) absorbing boundary condition even when the artificial boundaries do not align with the coordinate axes. A series of numerical experiments are presented to validate the effectiveness of this toolkit. From these numerical experiments, we conclude that (1) continental-scale seismic wave simulations, especially surface wave simulations, can be more efficiently performed without the loss of accuracy by truncating the mesh at an appropriate depth, (2) curvilinear-grid PML can be used to effectively suppress artificial reflections for seismic wave simulations at continental scales, and (3) the Earth's spherical geometry needs to be accurately meshed in order to obtain accurate simulation results for study regions larger than 8°.</p
Data Mining Algorithms for Ranking Problems
No full textTitle: Data Mining Algorithms for Ranking Problems, Author: Tianshi Jiao, Location: ThodeClassification is the process of finding (or training) a set of models (or
functions) that describe and distinguish data classes or concepts. That is for
the purpose of being able to use the models to predict the unknown class labels
of instances [12]. We deal with the ranking problem in this thesis. The ranking problem
is a special case of the classification problem, where the class labels are ranks
or ratings, represented by integers from 1 to q. The ranking problem can also
be cast as the process of training a rank-prediction model that assigns each
instance a rank that is "as close as possible" to the instance's actual rank [8].
Popular applications of the ranking problem include ranking the importance
of web pages, evaluating the financial credit of a person, and ranking the risks
of investments. Two popular families of methods to solve ranking problems are MultiCriteria
Decision Aid (MCDA) methods and Support Vector Machines (SVMs).
The performance of successful MCDA methods, such as UTilites Additives
DIScriminantes (UTADIS) and Generalized UTilites Additives DIScriminantes
(GUTADIS) , is achieved by exploiting the background knowledge that describes
the correlations between the attributes and the ranks. Unfortunately,
the background knowledge is case-dependent, hence it is likely to be unavailable, inexact or difficult to be modeled in practice. This restricts the application
of MCDA methods. SVMs, instead, do not require any background
knowledge. Their good performance is achieved by keeping balance between
minimizing the empirical loss and maximizing the separation margin. Normally,
a multi-class Support Vector Machine Classifier is constructed by combining
several binary Support Vector Machine Classifiers. In the SVM-based
approach the ranking information is not used. This thesis attempts to construct an efficient algorithm for ranking
problems. We compare the properties of existing algorithms for ranking problems
and propose a hybrid algorithm that combines the multi-class SVM (MSVM)
and the UTADIS model. In the new algorithm, the binary SVM classifiers
are combined into a multi-class classifier based on the fuzzy voting
technique. The optimal fuzzy voting strategy is searched by solving a Linear
Program (LP). The new algorithm is called Fuzzy Voting based Support Vector
Ranking (FVSVR) method. We also extend the idea of Fuzzy Voting from
ranking problems to generic multi-class classification problems, which leads to
a Fuzzy Voting based Support Vector Machine (FVSVM) method. The benefits
of FVSVR and FVSVM are demonstrated by experimental results based
on several databases of practical classification problems.ThesisMaster of Science (MSc
Attitudes toward car modifications in Beijing and the San Francisco Bay Area
No full textPeople modified their cars to extract possible performance or appearance from the basic, original and factory products through alteration, addition or well designed replacement of parts. People want their cars to be different from the majority. Under the circumstances cars are the media while modifications are the messages. The study was conducted through the use of survey research, using questionnaire data collection. Participants were from a big university in China and a university in the San Francisco Bay Area. During this research, the tendency of assigning the cause or responsibility of people’s behaviors on car modifications to characteristics and individualities mostly is studied; the public attitudes from China and the United States toward modifications are analyzed; media coverages and cultural differences’ implications on people’s attitudes toward car modifications are also discussed. Besides, bias, misunderstandings and unnecessary worries about car modifications plays essential roles in affecting feelings concerning car modifications. This research aims to increase the amount of knowledge regarding car culture and car modifications culture and let people have a fair and proper perspective on car modifications, decreasing the bias and prejudices as much as possible
Ben cao qiu yuan: [27 juan : juan shou]. v.1
No full text趙寅谷[趙其光]纂輯增補.綫裝.9行15字, 口, 四周雙邊, 單黑魚尾, 版心上鐫書名, 中鐫卷次.書名前題: 劉潛江徐靈胎葉天士陳修園四家義.Xian zhuang.9 hang 15 zi, kou, si zhou shuang bian, dan hei yu wei, ban xin shang juan shu ming, zhong juan juan ci.Shu ming qian ti: Liu qianjiang Xu Lingtai Ye Tianshi Chen Xiuyuan si jia yi.Date from preface.Zhao yin gu [Zhao Qiguang] zuan ji zeng bu
Liu Na'ou and the 1930s Chinese soft film : modernism, film art and politics in Republican era Shanghai
No full textThe 1930s Soft Film and its recognised leader Liu Na'ou have been a persistent enigma in the study of Republican era Chinese film history. Remembered for its sensationalist definition as "ice cream for the eyes and a sofa for the soul,” Soft Film was villainised as reactionary in the 1963 Maoist account and authoritative text History of the Development of Chinese Cinema. The eventual collaboration of key figures like Liu Na'ou and his protégé Mu Shiying with Japanese imperialists during the war, and their ultimate assassinations as hanjian (traitors), created a stigma that has prevented close studies of their work.
My dissertation clears up confusions about the 1930s Soft Film by using Foucault’s idea of the Archaeology of Knowledge to expand the grand narrative and its “archive”, using Liu Na’ou as the central focus. The new facts that emerged from excavating previously omitted primary resources, reveals that Soft
Film was indeed a political film movement from 1933-1937. It upheld commercial and artistic values in opposition to the leftist-led wave of “hard” politicised films advocating proletariatism and anti-imperialism during the national crisis. Tracing the complete works of Liu and his coterie of friends also showed that Soft Film was part of a larger modernist movement they led, which straddled between literature and film.
One defining characteristic of this dandyist group was its liberal cosmopolitan form of nationalism that aimed to protect freedom in the arts and entertainment, against what they believed was authoritarianism in “national defence” literature and film. They, along with a loose group of supporting critics and filmmakers, did not advocate frivolous entertainment films as previously understood, but rather a softer pragmatic approach to improve the quality of Chinese films to compete with western films dominating the market based on western standards. An important part of this “soft patriotism” in film was Liu’s modernist advocacy for formalism that directly opposed the leftist practice of Socialist Realism.
Previously overlooked origins of Liu’s film art ideas from the western modernist
Pure Film campaign, mediated through Japan, further elaborates the aspiration to advance Chinese culture by learning from the West, and by so doing, joining a global identity that was on par with the rest of the world.
This liberal cosmopolitan stance initially aligned with the Kuomintang during its pacifist policy of annei rangwai (Domestic Pacification before External Resistance) in the run up to the war, and later lent itself well to Wang Jingwei's “Peaceful Defence of the Nation”. This link explains why many Soft Film filmmakers during the 1930s became key players in wartime Orphan Island and Sino-Japanese collaborationist films. In tracing the post-war careers of surviving Soft Film proponents such as Griffith Yue Feng and Liu’s close friend Huang Tianshi, an unexpected discovery shows that contrary to the established historical conclusion that the Soft Film died with the murders of Liu and Mu, its legacy survived and played an important part in rebuilding the Chinese film industry’s capital in Hong Kong.published_or_final_versionComparative LiteratureDoctoralDoctor of Philosoph
Isotropic random tangential vector fields on spheres
No full textIn this paper we characterized isotropic random tangential vector fields on d-spheres for d?1 by the cross-covariance, and derived their Karhunen-Loève expansion. The tangential vector field can be decomposed into a curl-free part and a divergence-free part by the Helmholtz-Hodge decomposition. We proved that the two parts can be correlated on a 2-sphere, while they must be uncorrelated on a d-sphere for d?3. On a 3-sphere, the divergence-free part can be further decomposed into two isotropic flows. © 2024 Elsevier B.V.National Science Foundation;©National Science FoundationThe author was supported by NSF Grant DMS-2008154
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