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111 results on '"Ma, Ziji"'

1. Inverse Pyramid Pooling Attention for Ultrasonic Image Signal Recognition

Author

Jiang, Zhiwen, Ma, Ziji, Dong, Xianglong, Wang, Qi, Shao, Xun, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wu, Celimuge, editor, Chen, Xianfu, editor, Feng, Jie, editor, and Wu, Zhen, editor

Published
2024
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2. Human Behavior Recognition Algorithm Based on HD-C3D Model

Author

Xie, Zhihao, Yu, Lei, Wang, Qi, Ma, Ziji, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wu, Celimuge, editor, Chen, Xianfu, editor, Feng, Jie, editor, and Wu, Zhen, editor

Published
2024
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12. Noise Modeling and Analysis for Indoor Broadband Power Line Communication

Author

Tan, Zhouwen, Liu, Hongli, Ma, Ziji, Cheng, Yun, 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, Weikum, Gerhard, Series Editor, Sun, Xingming, editor, Pan, Zhaoqing, editor, and Bertino, Elisa, editor

Published
2018
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13. Cascade Learning Embedded Vision Inspection of Rail Fastener by Using a Fault Detection IoT Vehicle

Author

Xun Shao, Keping Yu, Chinmay Chakraborty, Jianwei Liu, Ma Ziji, and Hongli Liu

Subjects
Vision inspection, business.product_category, Computer Networks and Communications, business.industry, Computer science, Fastener, Fault detection and isolation, Computer Science Applications, Hardware and Architecture, Cascade, Signal Processing, Internet of Things, business, Computer hardware, Information Systems
Published
2023

20. Aggregated decentralized down-sampling-based ResNet for smart healthcare systems.

Author

Jiang, Zhiwen, Ma, Ziji, Wang, Yaonan, Shao, Xun, Yu, Keping, and Jolfaei, Alireza

Subjects
*CONVOLUTIONAL neural networks, *TELECOMMUNICATION, *MATHEMATICAL convolutions, *MEDICAL care, *TECHNOLOGY convergence
Abstract

With the rapid growth of the world's population and urbanization, people are increasingly seeking higher-quality medical services to improve their lives. The classification method based on deep convolutional neural networks (CNNs) is widely used in smart healthcare systems along with advancements in communication and hardware technology. Unfortunately, for conventional deep CNN algorithms, most of the regions do not participate in the convolution operation, resulting in the loss of feature information and the correlation of information between the features. To address this issue, this paper proposes a new strategy of aggregation decentralized down-sampling to prevent the loss of feature information. The regions that are not involved in the convolution operation are re-convoluted and stacked onto depth information in the forward propagation layer and the short-circuit layer, ensuring gradual convergence of the feature map and avoiding the loss of feature information. The accuracy of the proposed residual network (ResNet) system for classification tasks showed an average improvement of 2.57% compared with the conventional ResNet strategies. [ABSTRACT FROM AUTHOR]

Published
2023
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29. Cl-Initiated oxidation of methacrolein under NOx-free conditions studied by VUV photoionization mass spectrometry.

Author

Lin, Xiaoxiao, Hu, Rongrong, Ma, Ziji, Yue, Hao, Wen, Zuoying, Zhang, Cuihong, Fittschen, Christa, Zhang, Weijun, and Tang, Xiaofeng

Abstract

The Cl-initiated oxidation of methacrolein (MACR, C4H6O) under NOx-free conditions has been investigated in a fast flow tube by using a home-made vacuum ultraviolet (VUV) photoionization mass spectrometer complemented by high-level theoretical calculations. The key species such as intermediates and radicals together with products involved in the oxidation are observed online and confirmed in photoionization mass spectra. The reaction potential energy surfaces of the transient C4H5O and C4H6OCl radicals, formed from the hydrogen-abstraction reaction and the addition reaction of MACR with Cl atoms, with oxygen have been theoretically calculated to illuminate the formation of the peroxy radicals of C4H5OO2 and C4H6OClO2. The photoionization processes of these peroxy radicals, whose cations are not stable, and their individual self-reactions as well as bimolecular reactions with HO2 radical are studied and discussed. In addition, kinetic experiments are also performed to get the time evolution of specific products and compared with theoretical models, providing a detailed insight into the reaction mechanism of the Cl-initiated oxidation of MACR. [ABSTRACT FROM AUTHOR]

Published
2022
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30. A Phase Optimization Method Based on Fast Iteration and Boundary Guidance

Author

Shi, Bo, Ma, Ziji, Liu, Hongli, Ni, Xuefeng, Xiao, Weichu, and Qiu, Yuan

Abstract

To address the phase error problem of the objects with large gradients and low reflectivity in phase shifting (PS) profilometry (PSP), we put forward a novel strategy in which the invalid points are first identified and removed automatically, and then the fringe orders of the residual points are corrected. Aiming at the invalid points, an invalid point location and removal method based on fast iteration (FI-IPLR) is proposed. Compared with the manual threshold selection method, the FI-IPLR method can quickly and adaptively determine the threshold to remove invalid points. For the residual points, we first analyze the mechanism of phase error generation and then present a closed-loop strategy that integrates error point identification, fringe order modification (FOM), and verification methods. To avoid the normal points from being miscorrected, we first present an error point location procedure based on multiindicator union to eliminate the pseudo-error points and identify the real error points. After locating the real error points, a FOM method based on boundary guidance (FOM-BG) is proposed to modify their fringe orders. Then, a fringe order verification and rectification method based on monotonicity is used to check and repair the modified fringe order. Finally, we use the modified fringe order to calculate an optimized absolute phase map. The experimental results demonstrate that the proposed method performs better than other methods, especially for the large gradient, discontinuous, and low reflection objects.

Published
2023
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