Analysis of Artistic Modeling of Opera Stage Clothing Based on Big Data Clustering Algorithm

In order to deal with the problem that the traditional stage costume artistry analysis method cannot correct the results of big data clustering, which leads to deviations in the extraction of costume artistry features, this paper proposes a clothing artistic modeling method based on big data clustering algorithm. The proposed method provides a database for big data clustering by constructing the attribute set of the big data feature sequence training set and, at the same time, constructing a second-order cone programming model to correct the big data. Aiming at the problem that traditional stage costume art analysis methods cannot correct the clustering results of big data. On this basis, the costume elements of the opera stage are segmented, initialized, and transformed into a binary function. Finally, using the convolutional neural network, combining the element segmentation results and the large data clustering space state vector, a feature extraction model of stage costume art is constructed. Experimental results show that the model has good convergence, short time-consuming, high accuracy, and ideal feature recognition capabilities.

“He reached across the river and healed the generations of hara”: Structural violence, historical trauma, and healing among contemporary Whanganui Māori

<p>This thesis provides insights into the unique forms of oppression that Māori face today. It explores how Māori experience, understand, and heal from historical trauma in contemporary Aotearoa/New Zealand. It does this by arguing that space, state bureaucracies, and public discourse can be violent, and considering sites of (re)traumatisation for my participants, specifically by examining the internalisation of responsibilisation and colonial discourse disseminated through the media and government processes, underlining the implications for health care. I show the ways that space constructs and reproduces relations of power and surveillance. As well I explore spaces that act as living symbols of inequality. This thesis uses structural violence and historical trauma to frame this analysis and thus highlights the lived experience where neoliberalism and colonialism intersect. The understandings that are presented here are informed by seven months of fieldwork which was guided by a kaupapa Māori framework and used participant observation and interviews with Māori who have iwi affiliations to the Whanganui River. Using stories from eleven participants, as well as autoethnography, this thesis demonstrates the importance of whakapapa, whanaungatanga, and wairuatanga in healing for Māori.</p>

“He reached across the river and healed the generations of hara”: Structural violence, historical trauma, and healing among contemporary Whanganui Māori

<p>This thesis provides insights into the unique forms of oppression that Māori face today. It explores how Māori experience, understand, and heal from historical trauma in contemporary Aotearoa/New Zealand. It does this by arguing that space, state bureaucracies, and public discourse can be violent, and considering sites of (re)traumatisation for my participants, specifically by examining the internalisation of responsibilisation and colonial discourse disseminated through the media and government processes, underlining the implications for health care. I show the ways that space constructs and reproduces relations of power and surveillance. As well I explore spaces that act as living symbols of inequality. This thesis uses structural violence and historical trauma to frame this analysis and thus highlights the lived experience where neoliberalism and colonialism intersect. The understandings that are presented here are informed by seven months of fieldwork which was guided by a kaupapa Māori framework and used participant observation and interviews with Māori who have iwi affiliations to the Whanganui River. Using stories from eleven participants, as well as autoethnography, this thesis demonstrates the importance of whakapapa, whanaungatanga, and wairuatanga in healing for Māori.</p>

On the First-Passage Time Problem for a Feller-Type Diffusion Process

We consider the first-passage time problem for the Feller-type diffusion process, having infinitesimal drift B1(x,t)=α(t)x+β(t) and infinitesimal variance B2(x,t)=2r(t)x, defined in the space state [0,+∞), with α(t)∈R, β(t)>0, r(t)>0 continuous functions. For the time-homogeneous case, some relations between the first-passage time densities of the Feller process and of the Wiener and the Ornstein–Uhlenbeck processes are discussed. The asymptotic behavior of the first-passage time density through a time-dependent boundary is analyzed for an asymptotically constant boundary and for an asymptotically periodic boundary. Furthermore, when β(t)=ξr(t), with ξ>0, we discuss the asymptotic behavior of the first-passage density and we obtain some closed-form results for special time-varying boundaries.

Monte Carlo Test for Stochastic Trend in Space State Models for the Location-Scale Family

In space state models for time series, a key point is the decision between modeling the trend of non-stationary processes through a deterministic or a stochastic term. The present paper introduces a Monte Carlo hypothesis test procedure to guide in such a decision. The method works for any time series distribution belonging to the location-scale family. The proposed method provides an alpha-level test for any time series of length greater than 3 and it does not demand assumptions on the distribution of the trend term when it is actually stochastic.

Hybrid Damage Prediction Procedure for Composite Laminates Submitted to Spectra Loading

In this document, a hybrid procedure is constructed in order to predict the damage of a composite unidirectional laminate under random loading. This procedure is based on two pillars: a stiffness degradation model (SD-M) combined with an energy approach taking into account the effect of load ratio in addition to a system of equations generated by SSDQM method (Space State Differential Quadrature Method) which we have solved with a novel technic. The outputs of SSDQM method, previously serving for free vibration behavior analysis of composite structures, are used with those of SD-M model to predict damage failure of a composite laminate subjected to spectra loading. The results obtained correlate very well with experimental ones and an extensive comparison with other models validate the accuracy and convergence characteristics of this hybrid procedure.