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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Zhang, Xusheng Lyu, Tianling Shi, Yijie Zhong, Xinyun Wu, Zhan Xi, Yan Wang, Shijie Chen, Yang Zhu, Wentao Southeast University School of Software Nanjing China Zhejiang Lab Hangzhou China First-Imaging Tech. Shanghai China Southeast University Laboratory of Image Science and Technology The School of Computer Science and Engineering Nanjing China Southeast University Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing The Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Nanjing China

ISBN: (纸本)9798350371499

The application of CBCT systems in intraoperative environments has become increasingly common, but concurrent CBCT systems are unsuitable for situations that require a large longitudinal imaging FoV, such as orthopedics. To increase longitudinal coverage, we developed a dual-source CBCT (DS-CBCT) system in which two ray sources are symmetrically placed along the central plane. After further analyzing its geometric characteristics, we propose an analytical reconstruction algorithm termed DT-FDK specialized for DS-CBCT, which combines cone-beam rebinning and two rays with smaller cone angles among the four conjugate rays to further suppress cone beam artifacts. The system design and reconstruction algorithm are tested on both simulated and real-scanned data. Results show that the DS-CBCT can expand the effective imaging volume by 37.1% compared to single-source CBCT systems. The reconstructed images by DT-FDK also show improved image quality compared to traditional reconstruction algorithms. © 2024 IEEE.

关键词： Cones

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Linear support vector machine based on kernel function

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Journal of Computational information Systems 2009年第4期5卷 1089-1095页

作者： Gao, Shang Hu, Xuekun Zhang, Zaiyue Cao, Cungen School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China Institute of Computing Technology The Chinese Academy of Sciences Beijing 100080 China

Support vector machine is kind of novel machine learning method, based on statistical learning theory, which becomes the hotspot of machine learning because of its excellent learning performance. The method of support vector machine has been developed for solving classification and regression problems. Training a support vector machine requires the solutions of a very large quadratic programming problem. The algorithm is usually slow when there are many data. In order to improve the running speed, three regression models based on kernel function are introduced. One of three models is changed into a system of linear equations problem, the other models are changed into linear programming problems and their dual problems are given. Simulation results show the effectiveness of the methods, and the computation complexity are largely reduced. The kernel function and the parameter of models selection are compared and analyzed by means of an example. © 2009 Binary information Press August, 2009.

关键词： Support vector machines

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Generalized geometry-based optimal power control in wireless networks

Generalized geometry-based optimal power control in wireless...

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2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012

作者： Wang, Wei Shin, Kang G. Zhang, Zhaoyang Wang, Wenbo Peng, Tao Department of Information Science and Electronic Engineering Zhejiang Provincial Key Laboratory of Information Network Technology Zhejiang University Hangzhou 310027 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2121 United States Wireless Signal Processing and Networking Lab Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781467319058

Geometry-based optimal power control was proposed in [14] to transform the power-control problem to a new geometrical problem on the position relationship between a line and some points. This scheme provides a novel visual perspective and lowers the complexity of optimization. We generalize this scheme to a larger class of power-control optimization problems so as to maximize the network utility with multiple average and peak power constraints in wireless networks. To facilitate the handling of the geometrical model, we define a subset of geometrical models with specified characteristics, called a regular geometrical model, and derive the type of power-control problems eligible for the regular geometrical model. For such a type of problems, two strategies are proposed for the construction of the regular geometrical model. Utilizing geometrical properties, we propose a novel geometry-based optimization scheme for the general power-control problem. Its computational complexity is significantly lower than the conventional algorithms. We also provide a further discussion on irregular geometrical model cases. Finally, we provide two examples of deploying the proposed geometry-based power-control scheme. © 2012 IEEE.

关键词： Geometry

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Exploring Prompt-based Multi-task Learning for Multimodal Dialog State Tracking and Immersive Multimodal Conversation 11

Exploring Prompt-based Multi-task Learning for Multimodal Di...

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11th Dialog System technology Challenge, DSTC 2023

作者： Chen, Yirong Li, Ya Wang, Tao Xing, Xiaofen Xu, Xiangmin Liu, Quan Liu, Cong Hu, Guoping Guangdong Provincial Key Laboratory of Human Digital Twin School of EE South China University of Technology Guangzhou China iFLYTEK Research Hefei China Pazhou Lab. Guangzhou China School of Future Technology South China University of Technology Guangzhou China State Key Laboratory of Cognitive Intelligence Hefei China National Engineering Research Center of Speech and Language Information Processing Hefei China

With the rise of the metaverse, immersive multimodal conversation has attracted more and more researchers’ attention. Multimodal contexts will become more important for human-computer interaction in the metaverse, especially in shopping domain. Unlike traditional conversation tasks, immersive multimodal conversation has challenges such as multimodal ambiguous candidate identification and multimodal coreference resolution, which makes it more difficult to dialog state tracking and response generation, as described in SIMMC 2.1 challenge, a part of DSTC11. In particular, as the number of objects in the scene increases, the difficulty will increase dramatically. We proposed PMTLED (Prompt-based Multi-Task Learning Encoder-Decoder), in which different subtasks use different prompts to make the model tend to focus on the current subtask. We achieve the winner in ambiguous candidates indentification and runner-up in multimodal coreference resolution (MM-Coref), multimodal dialog state tracking (MM-DST) and assistant response generation. Our code and model are made publicly availab.e at https://***/scutcyr/dstc11-simmc2.1-scut-bds-lab. © 2023 Association for Computational Linguistics.

关键词： Human computer interaction

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Intrusion Detection for High-Speed Networks Based on Producing System

Intrusion Detection for High-Speed Networks Based on Produci...

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International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： Ken Chen Fei Yu Cheng Xu Yan Liu School of Computer &Information Engineering Hunan Agricultural University Changsha China College of Computer & Communication Hunan University Changsha China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou China

This paper firstly analyzed the front pattern matching algorithm of intrusion detection system, and improved on the pattern matching algorithm. Having immediately analyzed Rete algorithm and aimed at its shortage, the paper introduced the FRete net algorithm on the basis of Rete net algorithm constituting an inference machine based on FRete matching algorithm, which could infer logical suspicious facts. Then the authors discussed and designed an intrusion detection system based on high-speed networks, and finally established a simulation and experiment platform to test the performance of IDS.

关键词： Intrusion detection High-speed networks Inference algorithms computer networks Data security Pattern matching Algorithm design and analysis computer architecture Protection Data mining

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Multiple SVM-RFE for Multi-class Gene Selection on DNA Microarray Data

Multiple SVM-RFE for Multi-class Gene Selection on DNA Micro...

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International Joint Conference on Neural Networks

作者： Li Zhang Xiaojuan Huang School of Computer Science and Technology & Collaborative Innovation Center of Novel Software Technology and Industrialization Soochow University Suzhou 215006 Jiangsu China School of Computer Science and Technology & Provincial Key laboratory for Computer Information Processing Soochow University Suzhou 215006 Jiangsu China

ISBN: (纸本)9781479919611

This paper presents a new multi-class gene selection and classification method based on multiple support vector machine recursive feature elimination (SVM-RFE). For a multi-class DNA microarray problem, we solve it as multiple binary classification problems. First, the one-versus-all method is used to decompose the multi-class task into multiple binary problems. Second, an SVM-RFE is adopted to select genes for each binary problem. Then, an SVM classifier is used to train the selected gene data for a binary problem. Finally, we combine the outputs of multiple SVM classifiers. Experimental results on three DNA Microarray datasets show that the proposed method achieves higher classification accuracy.

关键词： support vector machine feature selection recursive feature elimination multi-class classification DNA microarray data Support Vector Network Feature extraction multi-class DNA Microarrays Phyla Genes Binary Classification Methods

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Regional coverage monitoring planning technology for multi-UAV based on pruning PSO 2nd

Regional coverage monitoring planning technology for multi-U...

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2nd International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2018

作者： Wang, KaiXuan Shen, YuTing Zhang, FuQuan Liang, Zhuo Song, ZhiGuo Pan, YanPeng China Academy of Launch Vehicle Technology Beijing100076 China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang050000 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China Digital Performance and Simulation Technology Lab School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783030045845

In recent years, with the application and gradual popularization of UAV technology in many fields, the normalization of UAV aerial photography has become a common phenomenon. There are few studies on Multi-UAV regional coverage monitoring. In this study, PSO algorithm based on pruning can be used to solve optimization problem, the multi-agent technology solve the problem of UAV group for self-perception and decision-making, the UAV group, namely multi-agent particles, can automatically initialize the perception agent particle whether meet the requirements of the iteration, whether to need to be pruned, and decide to optimize the iteration or increase the agent number, Finally, simulation verification shows that the optimized algorithm can finish the work faster under the premise of guaranteeing the effect. © Springer Nature Switzerland AG 2019.

关键词： Unmanned aerial vehicles (UAV)

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A method for the WSN channel modeling via stochastic differential equations and its applications

A method for the WSN channel modeling via stochastic differe...

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International Conference on Wireless Communications and Signal processing (WCSP)

作者： Liulei Zhou Luoquan Hu Yiming Wang Jia Hou Shuqi Liu School of Electronics and Information Engineering Provincial Key Laboratory for Computer Information Processing Technology Soochow University China Soochow University Suzhou Jiangsu CN School of Electronics and Information Engineering Soochow University China

ISBN: (纸本)9781467358309

Exponential correlated random variables are generated by stochastic differential equations (SDEs), which are described by Markov diffusion processes. Under the assumption of ergodicity of stochastic process, the stationary distribution of Markov diffusion process is introduced, which is determined by drift and diffusion coefficient. We choose the drift coefficient as a linear function. The drift coefficient can be derived directly from diffusion coefficient and aimed probability density function (pdf). As a result, a generalized method for the generation of exponential correlated random variables is determined. We compare the different diffusion coefficients of Markov model. The new diffusion coefficient model can be used in Milstein high order method and the corresponding algorithm is more robust. The correlation of the random samples can be adjusted through changing a single parameter of diffusion coefficient. The generation of approximately uniformly distributed random variables with exponential correlation is introduced as an example of generating random variables with a specified pdf and correlation function, where there is no determined closed form expression of the pdf. Simulation results validate the accuracy and the effectiveness of this method.

关键词： wireless sensor network stochastic model fading channel diffusion process correlation Diffusion processes diffusion coefficient Wireless sensor networks Fading channels Random variable Stochastic models stochastic differential equation stochastic derivative drift drift channel modeling Markov random sample

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Intrusion detection based on fuzzy reasoning

Intrusion detection based on fuzzy reasoning

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26th Chinese Control Conference, CCC 2007

作者： Fei, Yu Yue, Shen Guiping, Liao Linfeng, Zhang Cheng, Xu School of Computer Andinformation Engineering Hunan Agricultural University Changsha 410128 China Guangdong Province Key Lab. of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou 510320 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China

ISBN: (纸本)7900719229

The paper proposes a new network intrusion detection system based on fuzzy neural network by redesigning the intrusion detection system's architecture and arithmetic. In order to overcome the difficulty of specifying the membership function of rules depending on experiences of experts in multi-dimension space.,neural network is introduced to distinguish non-linearly input/output characteristics of complex system and to generate rule sets and membership functions automatically. The new architecture adopts the network processor to collect and analyse the data in the low layer of network.,and to establish a prototype system. This system demonstrated in this experiment appears to be better intrusion detection ability, moreover, which is able to detect unknown attack and plays down false alarms.

关键词： Fuzzy neural networks

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An Integrated and Intelligent Dental Healthcare System with Mobile Services 15th

An Integrated and Intelligent Dental Healthcare System with ...

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15th EAI International Conference on Collab.rative Computing: Networking, Applications and Worksharing, Collab.rateCom 2019

作者： Xu, Yueshen Lu, Yi Li, Rui Niu, Lin Du, Wenzhi An, Ni Liu, Yaning Liu, Xinyi Jiang, Yan Li, Zhenhua Guo, Jin Wang, Xiangdong School of Computer Science and Technology Xidian University Xi’an710071 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University SuzhouJiangsu215006 China Stomatological Hospital Xi’an Jiaotong University Xi’an710004 China Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases College of Stomatology Xi’an Jiaotong University Xi’an China Shaanxi Lishengruihui Technology Co. Ltd. Xi’an710075 China

ISBN: (纸本)9783030301453

Medical informatization takes a key role in medical and healthcare industries, which is a necessary way of improving service quality and treatment experience in a hospital. In this paper, we design and implement an integrated and intelligent healthcare system with mobile services, specific to dental healthcare. The developed system contains four components, including WeChat official account, intelligent question and answering (Q&A) system, mobile follow-up care mini program and AI speech assistant. The developed WeChat official account and intelligent Q&A system provide a large amount of professional knowledge on dental health, which can help narrow the knowledge gap between doctors and patients. The two components facilitate patients to follow up our applications without downloading any extra softwares, as the developed functions (e.g., voice service) are provided through mobile services. These two components also facilitate follow-up management, decreasing manpower and resource usage in hospital. Our system is developed to serve patients as well as dentists, and provides a group of interactive healthcare services in a low cost. In this paper, we elab.rate the whole system architecture and implementation detail of each component. We also report the performance test result and training process of the classifier. © 2019, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Hospitals

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