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492 results on '"Zhao, Zhijia"'

4. Cooperative guidance of multiple missiles: a hybrid co-evolutionary approach

Author

Lan, Xuejing, Chen, Junda, Zhao, Zhijia, and Zou, Tao

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Multiagent Systems, Electrical Engineering and Systems Science - Systems and Control, F.2.2, J.2
Abstract

Cooperative guidance of multiple missiles is a challenging task with rigorous constraints of time and space consensus, especially when attacking dynamic targets. In this paper, the cooperative guidance task is described as a distributed multi-objective cooperative optimization problem. To address the issues of non-stationarity and continuous control faced by cooperative guidance, the natural evolutionary strategy (NES) is improved along with an elitist adaptive learning technique to develop a novel natural co-evolutionary strategy (NCES). The gradients of original evolutionary strategy are rescaled to reduce the estimation bias caused by the interaction between the multiple missiles. Then, a hybrid co-evolutionary cooperative guidance law (HCCGL) is proposed by integrating the highly scalable co-evolutionary mechanism and the traditional guidance strategy. Finally, three simulations under different conditions demonstrate the effectiveness and superiority of this guidance law in solving cooperative guidance tasks with high accuracy. The proposed co-evolutionary approach has great prospects not only in cooperative guidance, but also in other application scenarios of multi-objective optimization, dynamic optimization and distributed control.

Published
2022

13. App-Aware Response Synthesis for User Reviews

Author

Farooq, Umar, Siddique, A. B., Jamour, Fuad, Zhao, Zhijia, and Hristidis, Vagelis

Subjects
Computer Science - Software Engineering, Computer Science - Machine Learning
Abstract

Responding to user reviews promptly and satisfactorily improves application ratings, which is key to application popularity and success. The proliferation of such reviews makes it virtually impossible for developers to keep up with responding manually. To address this challenge, recent work has shown the possibility of automatic response generation. However, because the training review-response pairs are aggregated from many different apps, it remains challenging for such models to generate app-specific responses, which, on the other hand, are often desirable as apps have different features and concerns. Solving the challenge by simply building a model per app (i.e., training with review-response pairs of a single app) may be insufficient because individual apps have limited review-response pairs, and such pairs typically lack the relevant information needed to respond to a new review. To enable app-specific response generation, this work proposes AARSynth: an app-aware response synthesis system. The key idea behind AARSynth is to augment the seq2seq model with information specific to a given app. Given a new user review, it first retrieves the top-K most relevant app reviews and the most relevant snippet from the app description. The retrieved information and the new user review are then fed into a fused machine learning model that integrates the seq2seq model with a machine reading comprehension model. The latter helps digest the retrieved reviews and app description. Finally, the fused model generates a response that is customized to the given app. We evaluated AARSynth using a large corpus of reviews and responses from Google Play. The results show that AARSynth outperforms the state-of-the-art system by 22.2% on BLEU-4 score. Furthermore, our human study shows that AARSynth produces a statistically significant improvement in response quality compared to the state-of-the-art system.

Published
2020

17. Stabilization of Flexible Satellite with Unknown Input Deadzone

Author

Fu, Yun, Liu, Zhijie, Zhao, Zhijia, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Yu, Xiang, editor

Published
2022
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18. Vibration Control of a String System with Constraints

Author

Zhang, Jianing, Liu, Yiming, Yang, Xiaofen, Zhao, Zhijia, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Yu, Xiang, editor

Published
2022
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26. Cohort Profile: The Ningbo Birth Cohort of Population Undergoing Assisted Reproductive Technology (NBart).

Author

Zhu, Hui, Xu, Jin, Cai, Jie, Liu, Hongyi, Zhao, Zhijia, Chen, Tao, Wang, Penghao, Zhou, Liming, Chen, Yanming, He, Da, Zhao, Yiming, and Ji, Lindan

Subjects
REPRODUCTIVE technology, FERTILIZATION in vitro, MATERNAL health services, CONTROLLED ovarian hyperstimulation, SCHOOL health services, MENSTRUAL cycle, GESTATIONAL diabetes
Abstract

The Ningbo Birth Cohort of Population Undergoing Assisted Reproductive Technology (NBart) is a study conducted in Ningbo, China, that examines the effects of assisted reproductive technology (ART) on pregnancy complications and children's health. The study recruited 11,954 couples undergoing ART treatment, resulting in 5,328 live births and 587 children followed for up to 6 years. Data was collected through questionnaires, physical examinations, medical records, and laboratory testing. The cohort data is available for researchers interested in the NBart data. The study aims to explore the relationship between ART interventions and pregnancy complications, assess factors affecting the growth and health of ART-conceived offspring, and examine the immune response of pregnant women who underwent ART. The study found that certain protocols and methods in ART treatment achieved comparable pregnancy rates, and correlations were found between sperm DNA fragmentation and various outcomes in ART treatment. The study also compared the incidence rates of pregnancy complications and perinatal outcomes between women who conceived via ART and those who conceived naturally. The NBart cohort has strengths such as a homogenous population and comprehensive health monitoring systems, but also weaknesses such as potential biases in cohort selection and limited long-term follow-up of ART offspring. Researchers interested in the NBart cohort can contact Lindan Ji for potential collaborations and access to the data. The study was approved by the Ningbo University Medical Science Research Ethics Committee. [Extracted from the article]

Published
2024
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36. Adaptive Fault-Tolerant Control for Flexible Manipulators Multiagent Systems With Unknown Dead-Zones Under Switching Topology

Author

Zhao, Wei, Sun, Hao, Zhao, Zhijia, and Liu, Yu

Abstract

For multiple flexible manipulator systems under an undirected switching topology graph with actuator faults, dead zones, and external disturbances, the proposed distributed control technique aims to attain joint angle consensus and vibration suppression. Therefore, in boundary controller design, the Nussbaum function is utilized to address the issue of uncertain control direction caused by fault tolerance and dead zones. Then, under the condition that the switching topology is connected, by using the backstepping technique, a new Lyapunov function is introduced so that the multiple flexible manipulators system can ensure angle cooperative control and vibration suppression while not knowing the control direction. Moreover, the adaptive law is designed to handle compound disturbances consisting of the unknown dead zones, additive faults, and boundary disturbances. Furthermore, we show that the flexible manipulator system is uniformly ultimately bounded and stable according to the Lyapunov stability theory. Ultimately, through the numerical simulation, the control strategy’s efficacy is confirmed.

Published
2024
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48. Shot Boundary Detection with Spatial-Temporal Convolutional Neural Networks

Author

Wu, Lifang, Zhang, Shuai, Jian, Meng, Zhao, Zhijia, Wang, Dong, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Lai, Jian-Huang, editor, Liu, Cheng-Lin, editor, Chen, Xilin, editor, Zhou, Jie, editor, Tan, Tieniu, editor, Zheng, Nanning, editor, and Zha, Hongbin, editor

Published
2018
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