Uncanny Objects: The Art of Moving and Looking Human

Automata ( self-moving machines) and reborn dolls (hyperrealistic baby dolls) individually conjure up questions of dynamic and aesthetic realism--external components of the human form as realistically represented or reproduced. as simulacra of humans in movement and appearance, they serve as sites of the uncanny exemplifying the idea in which as varying forms of the cyborg imbue them with troubling yet fantastical qualities that raises questions about our own humanness. My first essay, “Automaton: Movement and Artificial/Mechanical Life” directly addresses the characteristics that define humanness, principally the Rene Descartes mind-body dichotomy, by tracing the evolution of mechanical life, predicated as much on movement as consciousness, via the construction of automata. “Dis/Playing with Dolls: Stigmatization and the Performance of Reborn Dolls” takes the discussion a step further and examines people’s reactions when objects that look human are treated like human. I compare observable behaviors of dolls owners via social mediums like videos posted on YouTube, message boards, blogs, and news sources with responses by observers of this type of doll play, and superimposing a theory of play over this interaction. Whether or not automata and reborn dolls are socially accepted as signifiers of humanness, they already exist within our social space and reality. It is the recognition and acknowledgement of their presences in our everyday life and their agency that puts them squarely in the discourse of life

Remote Human Vital Sign Monitoring Using Multiple-Input Multiple-Output Radar at Millimeter-Wave Frequencies

Non-contact respiration rate (RR) and heart rate (HR) monitoring using millimeter-wave (mmWave) radars has gained lots of attention for medical, civilian, and military applications. These mmWave radars are small, light, and portable which can be deployed to various places. To increase the accuracy of RR and HR detection, distributed multi-input multi-output (MIMO) radar can be used to acquire non-redundant information of vital sign signals from different perspectives because each MIMO channel has different fields of view with respect to the subject under test (SUT). This dissertation investigates the use of a Frequency Modulated Continuous Wave (FMCW) radar operating at 77-81 GHz for this application. Vital sign signal is first reconstructed with Arctangent Demodulation (AD) method using phase change’s information collected by the radar due to chest wall displacement from respiration and heartbeat activities. Since the heartbeat signals can be corrupted and concealed by the third/fourth harmonics of the respiratory signals as well as random body motion (RBM) from the SUT, we have developed an automatic Heartbeat Template (HBT) extraction method based on Constellation Diagrams of the received signals. The extraction method will automatically spot and extract signals’ portions that carry good amount of heartbeat signals which are not corrupted by the RBM. The extracted HBT is then used as an adapted wavelet for Continuous Wavelet Transform (CWT) to reduce interferences from respiratory harmonics and RBM, as well as magnify the heartbeat signals. As the nature of RBM is unpredictable, the extracted HBT may not completely cancel the interferences from RBM. Therefore, to provide better HR detection’s accuracy, we have also developed a spectral-based HR selection method to gather frequency spectra of heartbeat signals from different MIMO channels. Based on this gathered spectral information, we can determine an accurate HR even if the heartbeat signals are significantly concealed by the RBM. To further improve the detection’s accuracy of RR and HR, two deep learning (DL) frameworks are also investigated. First, a Convolutional Neural Network (CNN) has been proposed to optimally select clean MIMO channels and eliminate MIMO channels with low SNR of heartbeat signals. After that, a Multi-layer Perceptron (MLP) neural network (NN) is utilized to reconstruct the heartbeat signals that will be used to assess and select the final HR with high confidence

Effect of Particle Size on Mechanics of Particle Reinforced Composites using Photoluminescence Piezospectroscopy

Nanoparticle reinforced composites are greatly desired by the aerospace community for a multitude of applications for their tailorable quasi-isotropic mechanical properties such as the high strength-to-weight ratio. With increasing demand of structural nanoparticulate composites, the optimization of their structural integrity and performance can be improved with a better understanding of the load transfer mechanics. Extensive nanoparticulate composites research has focused on the roles of particle shape, size, and volume fraction on the mechanical properties. Nanocomposites are often experimentally characterized through the determination of the bulk composite material properties. Load transfer research with a micro-mechanics perspective, distinguishing particle and matrix behavior, has been explored significantly using analytical and finite element modeling. For a more complete understanding of load transfer mechanics of particle composites, high spatial resolution experiments measuring exclusively the particles strain response are valuable. In this work, photoluminescent piezospectroscopy (PLPS) uses the frequency shift of the stress sensitive R-lines to non-destructively establish the mechanics of 100 nm, 150 nm, and 350 nm Cr3+ doped -alumina nanoparticles in an EPON 826 matrix under applied compressive stress. The R-lines\u27 stress sensitivity represented by the piezospectroscopic (PS) coefficient is used here to assess the particles\u27 load transfer capability. The PS coefficients allow us to investigate the load transfer variation with three different nanoparticle sizes. As the particle size reduces from 350 to 100 nm, the PS coefficients show that the particles experience 59% more stress indicating that the load transfer escalates with smaller particle sizes. This work also utilizes the R-line luminescent lifetime decay and assesses its reliability for stress measurements of particles within the composites. The lifetime decay measurements demonstrated significant inconsistencies due to the large variation in particle dispersion. The findings unravel the effect of particle size, to support new load transfer models that can be leveraged to tailor the design of structural nanocomposites

A Generalized Newton Method for Subgradient Systems

This paper proposes and develops a new Newton-type algorithm to solve subdifferential inclusions defined by subgradients of extended-real-valued prox-regular functions. The proposed algorithm is formulated in terms of the second-order subdifferential of such functions that enjoys extensive calculus rules and can be efficiently computed for broad classes of extended-real-valued functions. Based on this and on metric regularity and subregularity properties of subgradient mappings, we establish verifiable conditions ensuring well-posedness of the proposed algorithm and its local superlinear convergence. The obtained results are also new for the class of equations defined by continuously differentiable functions with Lipschitzian derivatives ($\mathcal{C}^{1,1}$ functions), which is the underlying case of our consideration. The developed algorithm for prox-regular functions is formulated in terms of proximal mappings related to and reduces to Moreau envelopes. Besides numerous illustrative examples and comparison with known algorithms for $\mathcal{C}^{1,1}$ functions and generalized equations, the paper presents applications of the proposed algorithm to the practically important class of Lasso problems arising in statistics and machine learning.Comment: 35 page

CORE VALUES OF VIETNAM VOCOTRUYEN

In the past every country had a martial arts associated with cultural characters and physical state of its people. Martial arts were not simply the practice of fighting skills, of using arms and legs to settle conflicts or a show of muscular strength. Also, their effects were to enhance health, improve physicality, train will, spirit and good philosophies of life. It is necessary for martial arts practitioners to train both physical and spiritual force, maintain the tradition of teacher deference and moral respect, rituals, orders and disciplines etc.. Vietnamese traditional martial arts (Vocotruyen) are not an exception so it has particularly vital values in life.  Article visualizations