13,446 research outputs found
Towards supervisory control theory in tactical environments: a stackelberg game approach
No full textIn this paper, we propose a new framework for supervisory control of discrete-event systems in tactical environments. In contrast to the standard supervisory control theory, where the environments are considered fully adversarial, we consider the possibility of the presence of attackers who have their own objectives that may not necessarily be in opposition to the specification of the supervisor. We formulate this scenario as a Stakelberg game in the leader-follower setting, where the designer proposes a supervisor, and the attacker takes a best response to the supervisor. We characterize the solution to the Stakelberg supervisory control problem as having both cooperative and antagonistic solutions. Moreover, we provide an effective algorithm for synthesizing a cooperative supervisor that enables both players to achieve their objectives. Our work makes an initial step forward from the traditional zerosum setting of supervisory control theory to the non-zero-sum setting. Examples are provided to illustrate our results
Data for: Early Cretaceous lower crustal thickening and delamination: Constraints from cumulate rocks and adakitic lavas in southeast China
No full textWe presented new zircon U-Pb ages and Hf isotopes of the gabbro and diorite in the southeastern edge of South China, the representative cumulate of the arc lower crust derived from hydrous magmas. Also included here are contemporaneous adakitic lavas reported in the vicinity. Bulk-rock geochemical and Sr-Nd-Pb isotopic compositions of the cumulate and adakite are reported. Meanwhile, we compiled previously published dataset of the Cretaceous adakitic rocks and A-type granites that are widespread in South China
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Sinofemcentrism and its manifestations in art by Yu Hong, Cui Xiuwen, and Xiang Jing
No full textIn response to the relative absence of contemporary Chinese women artists and their art in art historical discourses and in the art world, this study investigates the marginalization and symbolic annihilation of contemporary women artists and their art and the research conundrum on this neglected subject. This research suggests a new theoretical framework, sinofemcentrism, to facilitate the discussion and investigation of contemporary Chinese art by women, and examines sinofemcentrism’s manifestations in art by three contemporary Chinese female artists: Yu Hong, Cui Xiuwen, and Xiang Jing.
Sinofemcentrism is designated to the possibilities of a Chinese-female-centered worldview emerged from a strong sense of agency, self-awareness, and consciousness concerning the world about Chinese women’s race, sex, and artistic ability.
All three artists, though their mediums vary, are keen to depict female subjectivity through figurative representation. As a painter, Yu Hong is interested in the perceived minutiae of women’s lives against the grand narrative of Chinese history. Yu Hong’s female subjectivity centers on Chinese women and renders them individual players of the world, who are directly influenced by the history of China and the world.
Cui Xiuwen (1967-2018) was a mixed media artist. Interested in Chinese women’s psyche and the social, cultural, and economical implications that contributed to the systemic exploitation of women, Cui Xiuwen’s figurative works since her 2000 video work Lady’s Room continued to show her concern about the sexual violence Chinese women and children endured, but her subjects were rendered gradually more passive, frail, and stationary.
Keen to explore the complex internality of human nature, Xiang Jing’s sculptural depiction of the female body embraced signs of age, the diversity of body types, a wide range of emotions, and female intimacy, friendship, and solidarity.
This thesis concludes that art by Yu Hong, Cui Xiuwen, and Xiang Jing reflects what I have chosen to call their sinofemcentric stance which is unique to their Chinese-female-centered worldview and personal and professional experience. It is argued that Sinofemcentrism is a suitable theoretical framework to facilitate art historical discourses on the works of Chinese women artists from China, the greater Sinophone areas, and in diaspora.Art Histor
Polar Coded Integrated Data and Energy Networking: A Deep Neural Network Assisted End-to-End Design
No full textWireless sensors are everywhere. To address their energy supply, we proposed
an end-to-end design for polar-coded integrated data and energy networking
(IDEN), where the conventional signal processing modules, such as
modulation/demodulation and channel decoding, are replaced by deep neural
networks (DNNs). Moreover, the input-output relationship of an energy harvester
(EH) is also modelled by a DNN. By jointly optimizing both the transmitter and
the receiver as an autoencoder (AE), we minimize the bit-error-rate (BER) and
maximize the harvested energy of the IDEN system, while satisfying the transmit
power budget constraint determined by the normalization layer in the
transmitter. Our simulation results demonstrate that the DNN aided end-to-end
design conceived outperforms its conventional model-based counterpart both in
terms of the harvested energy and the BER
Guest editorial: progress on computational techniques for electromagnetic fields and applications
No full textXiang Cui's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Xiang Cui's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Xiang Cui's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Inferring influence in dynamic networks and multiple sampling for estimation of fractional Brownian motion
No full textSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01The student, Xiang Cui, accepted the attached license on 2022-04-15 at 10:37.The student, Xiang Cui, submitted this Dissertation for approval on 2022-04-15 at 11:08.This Dissertation was approved for publication on 2022-04-19 at 07:53.DSpace SAF Submission Ingestion Package generated from Vireo submission #17699 on 2022-11-11 at 12:47:02This thesis is divided into two parts. In the first part, we focus on network influence analysis in dynamic networks. In the second part, we focus on multiple sampling methods to estimate the fractional Brownian motion strategically. In Chapter 2, we explore degrees of influence in dynamic networks. We propose a longitudinal influence model to represent how an individual's behavior can be influenced by others in dynamic networks. A sequential hypothesis testing procedure is proposed to determine the degrees of influence. We provide a theoretical justification of our proposed sequential testing procedure. Simulation studies show our testing procedure can preserve the level of the test and is more powerful for a larger network. We also apply our proposed method to detect the degrees of influence for Higgs Twitter data set and Digg2009 data set. In Chapter 3, we investigate another aspect of network influence analysis, which is influence power. The influence power describes the magnitude of influence that each node has on the other nodes in the network. In this chapter, we build a network influence autoregression model to model the influence powers among different nodes in dynamic networks. We use the maximum likelihood estimation method to estimate the parameters in the model. We show the estimation consistency of parameter estimates and demonstrate the performance of our proposed methods using simulation studies. We also illustrate the usefulness of our model by applying it to the China fiscal revenue data. In Chapter 4, we focus on multiple sampling problems for the estimation of the fractional Brownian motion when the maximum number of samples is limited, extending existing results in the literature in a non-Markovian framework. Two classes of sampling schemes are proposed: a deterministic scheme and a level-triggered scheme. For the deterministic sampling scheme, the sampling times are selected beforehand and do not depend on the process trajectory. For the level-triggered sampling scheme, the sampling times are the times when the process crosses predetermined thresholds. The sampling times are selected sequentially in time and depend on the process trajectory. For each of the schemes, we derive the optimal sampling times by minimizing the aggregate squared error distortion. We then show that the optimal sampling strategies heavily depend on the dependence structure of the process
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