2,755 research outputs found
Re-assessing Wang shi-fu and The Four Masters of Yuan Drama.
Yuan zaju (元杂剧), also known as the qu-poetry of Yuan (元曲), was the preeminent theatrical form in China in the thirteen and fourteenth century under Mongol rule. It was featured by the four act structure, sung arias interspersed between dialogues as well as the miscellaneous arts of dance, mime and acrobatics. Yet Wang shi-fu, the author of the most controversial and acclaimed zaju throughout Chinese history The West Chamber (《西厢记》), was denied the honor of the top four zaju composers.This research project spotlights the most celebrated zaju playwrights Guan han-qing关汉卿, Bai pu白朴, Ma zhi-yuan马致远, Zheng guang-zu郑光祖, Wang shi-fu 王实甫 surrounding the genesis and inheritance of the nomination “The Four Masters of Yuan Drama.” The study has been divided into three session in pursuit of the historical antithesis. The first section is conducted around the five playwrights, giving emphasis to the characteristic and contribution of each through analysis and comparison of selected works. Then, it is followed by chronological research on the inception and dissemination of the entitlement. Finally, the project concludes with the discussion of political-social-cutural factors that may have contributed to Wang shi-fu’s “exclusion” and eventually debunking the myth of biased representation. The goal of the case study is to initiate more in-depth discourses on the recognition and reception of dramatists and the rectification of archival discrimination, suppression and persecution.https://orb.binghamton.edu/research_days_posters_2022/1142/thumbnail.jp
Analysis of Noisy Evolutionary Optimization When Sampling Fails
In noisy evolutionary optimization, sampling is a common strategy to deal
with noise. By the sampling strategy, the fitness of a solution is evaluated
multiple times (called \emph{sample size}) independently, and its true fitness
is then approximated by the average of these evaluations. Previous studies on
sampling are mainly empirical. In this paper, we first investigate the effect
of sample size from a theoretical perspective. By analyzing the (1+1)-EA on the
noisy LeadingOnes problem, we show that as the sample size increases, the
running time can reduce from exponential to polynomial, but then return to
exponential. This suggests that a proper sample size is crucial in practice.
Then, we investigate what strategies can work when sampling with any fixed
sample size fails. By two illustrative examples, we prove that using parent or
offspring populations can be better. Finally, we construct an artificial noisy
example to show that when using neither sampling nor populations is effective,
adaptive sampling (i.e., sampling with an adaptive sample size) can work. This,
for the first time, provides a theoretical support for the use of adaptive
sampling
Forced Oscillation Source Location via Multivariate Time Series Classification
Precisely locating low-frequency oscillation sources is the prerequisite of
suppressing sustained oscillation, which is an essential guarantee for the
secure and stable operation of power grids. Using synchrophasor measurements, a
machine learning method is proposed to locate the source of forced oscillation
in power systems. Rotor angle and active power of each power plant are utilized
to construct multivariate time series (MTS). Applying Mahalanobis distance
metric and dynamic time warping, the distance between MTS with different phases
or lengths can be appropriately measured. The obtained distance metric,
representing characteristics during the transient phase of forced oscillation
under different disturbance sources, is used for offline classifier training
and online matching to locate the disturbance source. Simulation results using
the four-machine two-area system and IEEE 39-bus system indicate that the
proposed location method can identify the power system forced oscillation
source online with high accuracy.Comment: 5 pages, 3 figures. Accepted by 2018 IEEE/PES Transmission and
Distribution Conferenc
Application of Production Process on Translation of Dramatic Literature
Surpassing literary and non-literary delineation, theater and performance translation has long being holding a unique position amongst all the types of linguistic and cultural transmission. Being concurrently a legitimate working document and stylized literature set up challenges as well as enables creative approaches to balance the key criterion of equivalence, relative autonomy and functionality. The project uses The Stronger, a dramatic monologue authored by the Swedish playwright August Strindberg, as the sample text to generate of an actable Chinese translation. The translation has adopted the principle of domestication by relocating the action to 1930s Shanghai to enhance audience accessibility. The experimentation is conducted through five phases: drafting, critical revision, rehearsal revision, performance and collaborative revision, and filming and reflective revision to examine how production process, acting in particular may assist preparation, revision and refinement of play translation. After applying adjustment to the initial document based on faculty review, the translator is to impersonate the only speaking role and reassess the draft from an actress’s perspective to generate the second revision. Three functional moment are then selected and enacted before a group of English-Chinese bilingual students, with their critical comments specifying direction for a third round of revision. This revision along with modified acting choices are to be filmed for peer review that will lead to the finalized translation. The findings from the progress expounds the benefaction and limitation of participatory and collaborative contribution, pointing to the potential of specialist translators and translation training amongst theater practitioners.https://orb.binghamton.edu/research_days_posters_2022/1141/thumbnail.jp
Generalized Synchronization between Two Complex Dynamical Networks with Time-Varying Delay and Nonlinear Coupling
The generalized synchronization between two complex networks with nonlinear coupling and time-varying delay is investigated in this paper. The novel adaptive schemes of constructing controller response network are proposed to realize generalized synchronization with the drive network to a given mapping. Two specific examples show and verify the effectiveness of the proposed method
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