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5. ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks

Author

Xu, Wenquan, Zhang, Zijian, Feng, Yong, Song, Haoyu, Chen, Zhikang, Wu, Wenfei, Liu, Guyue, Zhang, Yinchao, Liu, Shuxin, Tian, Zerui, and Liu, Bin

Subjects
Computer Science - Networking and Internet Architecture
Abstract

In-Network Computing (INC) has found many applications for performance boosts or cost reduction. However, given heterogeneous devices, diverse applications, and multi-path network typologies, it is cumbersome and error-prone for application developers to effectively utilize the available network resources and gain predictable benefits without impeding normal network functions. Previous work is oriented to network operators more than application developers. We develop ClickINC to streamline the INC programming and deployment using a unified and automated workflow. ClickINC provides INC developers a modular programming abstractions, without concerning to the states of the devices and the network topology. We describe the ClickINC framework, model, language, workflow, and corresponding algorithms. Experiments on both an emulator and a prototype system demonstrate its feasibility and benefits.

Published
2023

8. GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection

Author

Hu, Xinxin, Chen, Haotian, Zhang, Junjie, Chen, Hongchang, Liu, Shuxin, Li, Xing, Wang, Yahui, and Xue, Xiangyang

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Along with the rapid evolution of mobile communication technologies, such as 5G, there has been a drastically increase in telecom fraud, which significantly dissipates individual fortune and social wealth. In recent years, graph mining techniques are gradually becoming a mainstream solution for detecting telecom fraud. However, the graph imbalance problem, caused by the Pareto principle, brings severe challenges to graph data mining. This is a new and challenging problem, but little previous work has been noticed. In this paper, we propose a Graph ATtention network with COst-sensitive BOosting (GAT-COBO) for the graph imbalance problem. First, we design a GAT-based base classifier to learn the embeddings of all nodes in the graph. Then, we feed the embeddings into a well-designed cost-sensitive learner for imbalanced learning. Next, we update the weights according to the misclassification cost to make the model focus more on the minority class. Finally, we sum the node embeddings obtained by multiple cost-sensitive learners to obtain a comprehensive node representation, which is used for the downstream anomaly detection task. Extensive experiments on two real-world telecom fraud detection datasets demonstrate that our proposed method is effective for the graph imbalance problem, outperforming the state-of-the-art GNNs and GNN-based fraud detectors. In addition, our model is also helpful for solving the widespread over-smoothing problem in GNNs. The GAT-COBO code and datasets are available at https://github.com/xxhu94/GAT-COBO.

Published
2023

9. Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection

Author

Hu, Xinxin, Chen, Haotian, Chen, Hongchang, Liu, Shuxin, Li, Xing, Zhang, Shibo, Wang, Yahui, and Xue, Xiangyang

Subjects
Computer Science - Social and Information Networks, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

With the rapid development of mobile networks, the people's social contacts have been considerably facilitated. However, the rise of mobile social network fraud upon those networks, has caused a great deal of distress, in case of depleting personal and social wealth, then potentially doing significant economic harm. To detect fraudulent users, call detail record (CDR) data, which portrays the social behavior of users in mobile networks, has been widely utilized. But the imbalance problem in the aforementioned data, which could severely hinder the effectiveness of fraud detectors based on graph neural networks(GNN), has hardly been addressed in previous work. In this paper, we are going to present a novel Cost-Sensitive Graph Neural Network (CSGNN) by creatively combining cost-sensitive learning and graph neural networks. We conduct extensive experiments on two open-source realworld mobile network fraud datasets. The results show that CSGNN can effectively solve the graph imbalance problem and then achieve better detection performance than the state-of-the-art algorithms. We believe that our research can be applied to solve the graph imbalance problems in other fields. The CSGNN code and datasets are publicly available at https://github.com/xxhu94/CSGNN.

Published
2023

10. Hypernetwork link prediction method based on the SCL-CMM model

Author

REN Yuyuan, MA Hong, LIU Shuxin, and WANG Kai

Subjects
link prediction, hypergraph, hypernetwork, topology, clustering, Electronic computers. Computer science, QA75.5-76.95
Abstract

An effective method for the internal interaction within modeling reality systems is provided by graphs; however, they have been unable to effectively display and capture the high-order heterogeneity that widely exists between multiple entities. Hypergraphs have been recognized for their ability to surpass the limitations imposed by low-order relationships. Hypernetwork link prediction, which involves predicting unknown hyperlinks based on the observed hypergraph structure, has increasingly become a hot topic in network science due to its capacity to fully describe the association patterns of complex systems. Existing methods typically design reasoning models for the entire topology, often overlooking the implicit aggregation characteristics within the network, which leads to an incomplete prediction of hyperlink categories. To address these issues, a coordination matrix minimization model based on hypergraph spectral clustering parser (SCL-CMM) was proposed. Initially, higher-order hypernetworks were mapped into heterogeneous hypergraphs with certain semantics. Subsequently, the spectral clustering parser was employed to extract the structural features of hyperlinks. The original hypergraph was reconstructed into multiple homoprotonic graphs, and the distribution of potential hyperlinks was inferred within the observation space of the subgraph, rather than the entire adjacency space, in order to restore the complete hypernetwork structure. This method federated learned the structural characteristics and aggregation attributes of hypernetworks to model the high-order nonlinear behavior of each subgraph, thereby solving the problems of single category and low precision in heterogeneous hypergraphs link prediction. Extensive comparative experiments were conducted on nine real datasets, demonstrating that this method significantly outperformed existing methods in terms of AUC score and recall rate.

Published
2024
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11. Lightweight-Based Defect Detection for Small Target Insulators

Author

Liu, Shuxin, Zhang, Lei, Shi, Chengcheng, Qin, Shuhan, Ji, Guanjun, Wang, Xiaodi, Ceccarelli, Marco, Series Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Agrawal, Sunil K., Advisory Editor, Liu, Tongtong, editor, Zhang, Fan, editor, Huang, Shiqing, editor, Wang, Jingjing, editor, and Gu, Fengshou, editor

Published
2024
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12. Multi-mode Composite Guidance Data Fusion Algorithm Based on Optimized Convex Combination Theory

Author

Zhao, Shiyi, Liu, Shuxin, Wang, Daihua, Si, Chen, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Hua, Yongzhao, editor, Liu, Yishi, editor, and Han, Liang, editor

Published
2024
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14. Efficacy Analysis of 131I Therapy in Serum Thyroglobulin Antibody Positive Differentiated Thyroid Carcinoma with Distant Metastasis

Author

BAI Xin, WU Xinyu, ZHAO Zun, LIU Shuxin, LIU Simiao, XUE Yuhang, XU Junling, GAO Yongju

Subjects
thyroid neoplasms, thyroglobulin, neoplasm metastasis, anti-thyroid autoantibodies, clinical effectiveness, Medicine
Abstract

Background Differentiated thyroid carcinoma (DTC) with distant metastasis generally forecasts a poor prognosis. Timely diagnosis and effective treatment of distant metastasis are pivotal and challenging in clinical practice. Serum thyroglobulin (Tg) is a marker for monitoring tumor residue or recurrence/metastasis post-surgery and post-131I therapy in DTC. Thyroglobulin antibodies (TgAb) are autoantibodies against Tg that can potentially interfere with Tg measurement. Presently, literature on 131I treatment of TgAb positive DTC with distant metastasis is sparse. Objective To investigate the efficacy of 131I therapy in TgAb positive DTC with distant metastasis. Methods A retrospective analysis was conducted on clinical data of 189 DTC patients treated with 131I from January 2017 to January 2022 at the People's Hospital of Zhengzhou University. Pre-treatment and follow-up measurements of thyroid-stimulating hormone (TSH), Tg, and TgAb were collected. Patients were categorized into TgAb positive (29 cases) and TgAb negative (160 cases) groups. The efficacy of 131I therapy was evaluated. Serum thyroid hormones and routine blood tests were conducted 6-8 weeks post-131I therapy, followed by biannual or annual follow-ups including serum thyroid hormones, Tg, TSH, TgAb, thyroid peroxidase antibodies (TPOAb), neck ultrasound, and CT scans of metastatic sites. Results Statistical significance (P

Published
2024
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21. The influence of monomolecular water and bimolecular water on BrO + [CH.sub.2]O reaction

Author

Zhang, Yunju, Liu, Yongguo, Zhao, Meilian, Sun, Yuxi, and Liu, Shuxin

Subjects
Formaldehyde -- Analysis, Water -- Influence -- Analysis, Chemical reactions -- Methods -- Analysis, Chemical reaction, Rate of -- Analysis, Oxides -- Analysis, Chemistry
Abstract

The catalytic influence of water molecules on BrO + [CH.sub.2]O reaction was discussed through the investigation of mechanism and kinetics. The potential energy surfaces and dynamic properties of the BrO + [CH.sub.2]O reaction were investigated at the CCSD(T)/aug-cc-pVTZ//B3LYP/cc-pVTZ level. The reaction generates four different products, respectively, through four pathways without water and nine pathways with water. The results have shown that the generation of HCO + HOBr occupied the entire reaction without water. The rate constants were obtained by employing the KisThelP program based on the Transition State Theory with Wigner tunneling correction. This rate constants of the naked reaction are lower than that in the presence of monomolecular water and are higher than that in the presence of bimolecular water. The current calculations indicated that monomolecular water could accelerate the BrO + [CH.sub.2]O reaction, while bimolecular water could not accelerate the BrO + [CH.sub.2]O reaction. The effective rate constants (in the presence of monomolecular water and bimolecular water) are much lower than that of the naked reaction. Key words: BrO, [CH.sub.2]O, water, mechanism, kinetics, 1. Introduction The main known gaseous source of tropospheric inorganic halogen substances (including oxides) are organic halogen compounds. The ocean is a significant natural source of these compounds. Once these [...]

Published
2023
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30. Large depth of range Maxwellian-viewing SMV near-eye display based on a Pancharatnam-Berry optical element

Author

Wang, Lin, Li, Yan, Liu, Shuxin, Su, Yikai, Wang, Di, and Wang, Qiong-Hua

Subjects
Physics - Optics, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

In order to overcome the accommodation and convergence (A-C) conflict that commonly causes visual fatigue in AR display, we propose a Maxwellian-viewing-super-multi-view (MV-SMV) near-eye display system based on a Pancharatnam-Berry optical element (PBOE). The PBOE, which is constituted with an array of high-efficiency polarization gratings, is implemented to direct different views to different directions simultaneously, constructing the 3D light field. Meanwhile, each view is like a Maxwellian view display that possesses a small viewpoint and a large depth of field (DOF). Hence, the MV-SMV display can display virtual images with correct accommodation depth cue within a large DOF. We implement a proof-of-concept MV-SMV display prototype with 3 x 1 and 3 x 2 viewpoints using a 1D PBOE and a 2D PBOE, respectively, and achieve a DOF of 4.37 diopters experimentally.

Published
2021

31. Distribution Line Fault Location Method Based on STSR and ICEEMDAN

Author

Liu, Shuxin, Qin, Wangyang, Gao, Shuyu, Cao, Yundong, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Xie, Kaigui, editor, Hu, Jianlin, editor, Yang, Qingxin, editor, and Li, Jian, editor

Published
2023
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32. Research on Operation State Division of Railway DC Relay Based on Similarity Measure and Clustering

Author

Liu, Shuxin, Dai, Jie, Gao, Shuyu, Zou, Yanran, Cao, Yundong, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yang, Qingxin, editor, Li, Jian, editor, Xie, Kaigui, editor, and Hu, Jianlin, editor

Published
2023
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33. Research on DC Fault Arc Detection Method Based on CEEMDAN-HT and SAE

Author

Liu, Shuxin, Zou, Yanran, Gao, Shuyu, Dai, Jie, Cao, Yundong, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yang, Qingxin, editor, Li, Jian, editor, Xie, Kaigui, editor, and Hu, Jianlin, editor

Published
2023
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34. Research on Residual Electric Life Prediction of DC Railway Relay Based on BiLSTM

Author

Liu, Shuxin, Gao, Shuyu, Dai, Jie, Zou, Yanran, Peng, Shidong, Jiang, Xingwei, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yang, Qingxin, editor, Li, Jian, editor, Xie, Kaigui, editor, and Hu, Jianlin, editor

Published
2023
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40. TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism

Author

Li, Jinsong, Peng, Jianhua, Liu, Shuxin, Weng, Lintianran, and Li, Cong

Subjects
Computer Science - Social and Information Networks, Computer Science - Machine Learning, Statistics - Machine Learning, 68T07, I.5.1, H.4.0
Abstract

The development of graph neural networks (GCN) makes it possible to learn structural features from evolving complex networks. Even though a wide range of realistic networks are directed ones, few existing works investigated the properties of directed and temporal networks. In this paper, we address the problem of temporal link prediction in directed networks and propose a deep learning model based on GCN and self-attention mechanism, namely TSAM. The proposed model adopts an autoencoder architecture, which utilizes graph attentional layers to capture the structural feature of neighborhood nodes, as well as a set of graph convolutional layers to capture motif features. A graph recurrent unit layer with self-attention is utilized to learn temporal variations in the snapshot sequence. We run comparative experiments on four realistic networks to validate the effectiveness of TSAM. Experimental results show that TSAM outperforms most benchmarks under two evaluation metrics.

Published
2020

47. Research on Railway Relay Operation State Recognition Based on Improved Extreme Learning Machine

Author

Liu, Shuxin, Ma, Chenchen, Liu, Yang, Li, Jing, Cao, Yundong, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, He, Jinghan, editor, Li, Yaohua, editor, Yang, Qingxin, editor, and Liang, Xidong, editor

Published
2022
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48. Study on Arc Characteristics in Zero Zone of C4F7N/CO2 Mixture

Author

Li, Jing, Li, Xue, Liu, Shuxin, Peng, Shidong, Yu, Longbin, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, He, Jinghan, editor, Li, Yaohua, editor, Yang, Qingxin, editor, and Liang, Xidong, editor

Published
2022
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49. Study on Arc Root Transfer Phenomenon of Molded Case Circuit Breaker and Its Influence on Arc Extinguishing Ability

Author

Li, Jing, Qian, Yu, Wang, Aofei, Liu, Shuxin, Yu, Longbin, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, He, Jinghan, editor, Li, Yaohua, editor, Yang, Qingxin, editor, and Liang, Xidong, editor

Published
2022
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50. Simulation Research on Environment-Friendly CF3I/CO2 Mixed Gas Discharge in Uniform Field

Author

Li, Jing, Jian, Wen, Cao, Yundong, Liu, Shuxin, Qian, Yu, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, He, Jinghan, editor, Li, Yaohua, editor, Yang, Qingxin, editor, and Liang, Xidong, editor

Published
2022
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