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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yanglin Huang Donghui Tan Yuan Zhang Xuanya Li Kai Hu Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan China Affiliated Hospital of Xiangnan University Chengzhou China Baidu Inc Beijing China Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province Xiangnan University Chenzhou China

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Learning how to fully extract global representations and local features is a key factor in improving the performance of polyp segmentation. In this paper, we explore the potential of combined techniques of Transformers and convolutional neural networks (CNNs) to address the challenges of polyp segmentation. Specifically, we present TransMixer, a hybrid interaction fusion architecture of the Transformer branch and the CNN branch, which is able to enhance the local details of global representations and the global context awareness of local features. To achieve this, we first bridge the semantic gap between the Transformer branch and the CNN branch through the Interaction Fusion Module (IFM), and then make full use of both respective properties to enhance polyp feature representations. After that, we further propose the Hierarchical Attention Module (HAM) to collect polyp semantic information from high-level features to gradually guide the recovery of polyp spatial information in low-level features. Quantitative and qualitative results show that the proposed model is more robust to various complex situations compared to existing methods, and achieves state-of-the-art performance in polyp segmentation.

关键词： Deep learning Bridges Semantics Context awareness Benchmark testing Transformers Feature extraction

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A dynamic multi-objective evolutionary algorithm based on Niche prediction strategy

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Applied Soft computing 2023年 142卷

作者： Zheng, Jinhua Zhang, Bo Zou, Juan Yang, Shengxiang Hu, Yaru Hunan Engineering Research Center of Intelligent System Optimization and Security Xiangtan University Hunan Province Xiangtan411105 China Key Laboratory of Intelligent Computing and Information Processing Ministry of Education of China Xiangtan University Hunan Province Xiangtan411105 China Key Laboratory of Hunan Province for Internet of Things and Information Security Xiangtan University Hunan Province Xiangtan411105 China School of Computer Science and Informatics De Montfort University LeicesterLE1 9BH United Kingdom

In reality, many multi-objective optimization problems are dynamic. The Pareto optimal front (PF) or Pareto optimal solution (PS) of these dynamic multi-objective problems (DMOPs) changes as the environment change. Therefore, solving such problems requires an optimization algorithm that can quickly track the PF or PS after an environment change. Prediction-based response mechanism is a common method used to deal with environmental changes, which is commonly known as center point-based prediction. However, if the predicted direction of the center point is inaccurate, the predicted population will be biased towards one side. In this paper, we propose a niche prediction strategy based on center and boundary points (PCPB) to solve the dynamic multi-objective optimization problems, which consists of three steps. After environmental changes are detected, the first step is to divide the niche, dividing different individuals in the PS into different niche populations. The second step is to independently predict different niches, and select individuals with good convergence and distribution in the niche to predict the individuals that will produce the next generation. Finally, some different individuals are randomly generated in the next possible PS area to ensure the diversity of the population. To verify whether our proposed strategy is effective and competitive, PCPB was compared with five state-of-the-art strategies. The experimental results show that PCPB performed competitively in solving dynamic multi-objective optimization problems, which proves that our algorithm has good competitiveness. © 2023 Elsevier B.V.

关键词： Forecasting

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An effective method using duty cycles for assessment of exposure to mobile communication systems

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IEEE Electromagnetic Compatibility Magazine 2019年第2期8卷 57-63页

作者： Yang, Wanchun Zhou, Kai Tan, Pingan Gao, Xieping College of Information Engineering Key Laboratory of Intelligent Computing Information Processing of Education Ministry Xiangtan University China

An effective method for assessment of exposure to the electric field of the wireless signals from mobile communication systems is still lack, since the transmission of wireless signals is related to the traffic and the exposure level varies with the traffic load. In this paper we study the allocation mechanism of the traffic time slots in the mobile communication systems, and analyze the probability of the number of simultaneously occupied traffic time slots. Based on the queuing theory, the duty cycle of the wireless signal can be calculated by the traffic load. We establish the theoretical relationship between the exposure level and the traffic load. The exposure level in a certain period can be directly extrapolated by the calculated duty cycle, and the maximum electric field measured in the max-hold mode. By this method the maximum electric field only needs to be measured one time. Much effort on measurement can be avoided. © 2012 IEEE.

关键词： Electromagnetic fields

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Study on Optical-Electric-Thermal Performance of the Perovskite Solar Cells Based on Embedding Different Geometric Metal Nanoparticles

Study on Optical-Electric-Thermal Performance of the Perovsk...

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International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： Hao Ren Xingang Ren Qingqing Deng Zhixiang Huang Xianliang Wu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

When we geometrically optimize the metal nanoparticles embedded in the active layer of perovskite, the light absorption capacity of perovskite solar cells has been significantly enhanced. At the same time, we investigate the effect of metal nanoparticles heating on the electrical performance and stability of perovskite solar cells. The research results show that the heat loss of the metal nanoparticles can be effectively reduced by optimizing the geometric parameters of the metal nanoparticles. The temperature of the perovskite active layer is also reduced. The results show that the carrier mobility of the perovskite solar cell increased. The energy conversion efficiency of the perovskite solar cell increased by 38%.

关键词： Nanoparticles Semiconductor device modeling Absorption Photovoltaic cells Metals Optical scattering Optimization

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Distributed Online Private Learning of Convex Nondecomposable Objectives

arXiv

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arXiv 2022年

作者： Cheng, Huqiang Liao, Xiaofeng Li, Huaqing Key Laboratory of Dependable Services Computing in Cyber Physical Society-Ministry of Education College of Computer Science Chongqing University Chongqing400044 China Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China

In the machine learning domain, datasets share several new features, including distributed storage, high velocity, and privacy concerns, which naturally requires the development of distributed privacy-preserving algorithms. Moreover, nodes (e.g., learners, sensors, GPUs, mobiles, etc.) in the real networks usually process tasks in real time, which inevitably requires nodes to have online learning capabilities. Therefore, we deal with a general distributed constrained online learning problem with privacy over time-varying networks, where a class of nondecomposable objectives are considered. Under this setting, each node only controls a part of the global decision, and the goal of all nodes is to collaboratively minimize the global cost over a time horizon T while guarantees the security of the transmitted information. For such problems, we first design a novel generic algorithm framework, named as DPSDA, of differentially private distributed online learning using the Laplace mechanism and the stochastic variants of dual averaging method. Note that in the dual updates, all nodes of DPSDA employ the noise-corrupted gradients for more generality. Then, we propose two algorithms, named as DPSDA-C and DPSDA-PS, under this framework. In DPSDA-C, the nodes implement a circulation-based communication in the primal updates so as to alleviate the disagreements over time-varying undirected networks. In addition, for the extension to time-varying directed ones, the nodes implement the broadcast-based push-sum dynamics in DPSDA-PS, which can achieve average consensus over arbitrary directed networks. Theoretical results show that both algorithms attain an expected regret upper bound in O(√T) when the objective function is convex, which matches the best utility achievable by cutting-edge algorithms. Finally, numerous numerical experiments on both synthetic and real-world datasets verify the effectiveness of our algorithms. © 2022, CC BY.

关键词： Stochastic systems

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Bi-Contrastive Alignment for Incomplete Multi-view Clustering

Bi-Contrastive Alignment for Incomplete Multi-view Clusterin...

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Chinese Control and Decision Conference, CCDC

作者： Shengxia Gao Yaoying Wang Yuqing Shi Kaiwu Zhang Shiqiang Du Chinese National Information Technology Research Institute Northwest Minzu University Lanzhou China Key Laboratory of Minzu Languages and Cultures Intelligent Information Processing Gansu Province Northwest Minzu University Lanzhou China College of Electrical Engineering Northwest Minzu University Lanzhou China Key Laboratory of Linguistic and Cultural Computing of Ministry of Education Northwest Minzu University Lanzhou China College of Mathematics and Computer Science Northwest Minzu University Lanzhou China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

Multi-view clustering (MVC) represents a significant challenge in the realms of machine learning and data mining. Recently, the advent of contrastive learning (CL) has catalyzed the development of numerous innovative methods within this field. The efficacy of these methods typically hinges on the availability of consistent and comprehensive data. Nevertheless, real-world scenarios of data collection and transmission frequently encounter issues like partial unaligned-views (PU), which result in incomplete datasets and pose formidable challenges for effective MVC. To address this prevalent issue, our paper introduces an innovative framework, termed bi-contrastive alignment for incomplete multi-view clustering (BCA). BCA specifically targets the challenge of incomplete data stemming from PU. It encompasses a unique module, semantic guided bi-contrastive alignment (SGBA), designed to counteract the PU by harnessing semantic similarities. Moreover, the framework augments data alignment by integrating a contrastive learning-based corrective component into the loss function. The comparative experiments demonstrate that the ARI metric of our method surpasses the second-best contrasting method on all four datasets.

关键词： Measurement Semantics Contrastive learning Machine learning Fasteners Data collection Benchmark testing

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A Broadband Millimeter-Wave Vertically-Integrated Vivaldi Antenna and Its Circularly Polarized Array

A Broadband Millimeter-Wave Vertically-Integrated Vivaldi An...

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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)

作者： Chuanming Zhu Guanghui Xu Jie Wu Hui Xu Li-Xia Yang Zhi-Xiang Huang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728181813

ISBN: (纸本)9781728181820

A novel broadband millimeter-wave(mm-Wave) vertically-integrated Vivaldi antenna with stable gain and good radiation patterns is presented in this paper. The proposed antenna element consists of five substrates. There are two symmetrical metal radiation strips on the top of each substrate. The two adjacent stripes are connected through the metallized via. A coupling-slot on the substrate integrated waveguide(SIW) is employed as the feeding structure to these strips. Simulations show that the antenna can have a wider impedance bandwidth of 28%, and a higher gain of 8 dBi. In addition, based on this antenna element, a 2×2 circularly polarized(CP) antenna array is designed to demonstrate that the proposed antenna is a promising candidate for the mm-Wave CP applications. The 2×2 array exhibits an impedance bandwidth of 16.8% and axial ratio(AR) bandwidth of 16.6% with the good right-hand CP radiation patterns.

关键词： Millimeter wave technology Vivaldi antennas Bandwidth Impedance Substrates Antenna arrays Antenna radiation patterns

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Energy Consumption and Time Delay optimization of MEC Based on MultiDimensional Game

Energy Consumption and Time Delay optimization of MEC Based ...

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IEEE International Conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Hui Wang Yi Wang Xingjun Lu Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728160245

ISBN: (纸本)9781728160252

Mobile edge computing (MEC) reduces latency and power consumption of mobile devices by deploying servers on the network edge. Due to the limited computing resources of the MEC server, excessive offloading of the users in local cells will bring unexpected queuing delay and high energy consumption. To deal with these problems, this paper proposes a Multi-user Queue Offloading multi-dimensional game algorithm (MQO). By the algorithm, users could choose the most suitable strategy, in which the strategy space is two-dimensional to satisfy different needs of different users to a certain extent, including the offload strategy and power control of users. Simulation results show that MQO can improve the performance of both overhead and offloading number with the increase of users.

关键词： Energy consumption Servers Games Task analysis Delay effects Mobile handsets Game theory

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Traffic Engineering in Dynamic Hybrid Segment Routing Networks

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Computers, Materials & Continua 2021年第7期68卷 655-670页

作者： Yingya Guo Kai Huang Cheng Hu Jiangyuan Yao Siyu Zhou College of Mathematics and Computer Science Fuzhou UniversityFuzhou350000China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou UniversityFuzhou350000China Key Laboratory of Spatial Data Mining&Information Sharing Ministry of EducationFuzhou350003China School of Information Science and Technology Guangdong University of Foreign StudiesGuangzhou510006China School of Computer Science and Cyberspace Security Hainan UniversityHaiKou570228China Tandon School of Engineering New York UniversityNew York10012USA Department of Computing Hong Kong Polytechnic UniversityHong Hom999077Hong Kong

The emergence of Segment Routing(SR)provides a novel routing paradigm that uses a routing technique called source packet *** SR architecture,the paths that the packets choose to route on are indicated at the ingress *** with shortest-path-based routing in traditional distributed routing protocols,SR can realize a flexible routing by implementing an arbitrary flow splitting at the ingress *** the advantages of SR,it may be difficult to update the existing IP network to a full SR deployed network,for economical and technical *** partial of the traditional IP network to the SR network,thus forming a hybrid SR network,is a preferable *** the traffic is dynamically changing in a daily time,in this paper,we propose a Weight Adjustment algorithm WASAR to optimize routing in a dynamic hybrid SR *** algorithm can be divided into three steps:firstly,representative Traffic Matrices(TMs)and the expected TM are obtained from the historical TMs through ultrascalable spectral clustering ***,given the network topology,the initial network weight setting and the expected TM,we can realize the link weight optimization and SR node deployment optimization through a Deep Reinforcement Learning(DRL)***,we optimize the flow splitting ratios of SR nodes in a centralized online manner under dynamic traffic demands,in order to improve the network *** the evaluation,we exploit historical TMs to test the performance of the obtained routing configuration in *** extensive experimental results validate that our proposed WASAR algorithm has superior performance in reducing Maximum Link Utilization(MLU)under the dynamic traffic.

关键词： Traffic engineering routing optimization segment routing deep reinforcement learning ultra-scalable spectral clustering

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A Low-Complexity and High-Efficient Pilot Allocation Scheme Based on User Grouping in Massive MIMO System 19

A Low-Complexity and High-Efficient Pilot Allocation Scheme ...

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19th IEEE International Conference on Communication Technology, ICCT 2019

作者： Zhao, Xinying Yao, Yijing Xu, Lei Fang, Hongyu Zhang, Hongwei Li, Xiaohui Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Hefei China

ISBN: (纸本)9781728105352

Pilot allocation is one of the effective means to reduce pilot pollution in massive Multiple-Input Multiple-Output (MIMO) systems. The goal of this paper is to improve the uplink achievable sum rates of strong users, and ensure the quality of service (QoS) requirements of weak users at the same time, so that the sum rates of system can be improved. Combining with the technical advantage of pilot grouping, a low complexity pilot allocation scheme based on matching algorithm is proposed, which divides the users in the target cell into weak user group and strong user group, and adopts the minimum-maximum matching method to allocate pilots in weak user group. Through the introduction of Hungarian algorithm, a pilot allocation method is designed to ensure the fairness of the strong users. The simulation results show that, compared with the smart pilot allocation scheme, the pilot allocation scheme based on Hungarian algorithm, the pilot allocation scheme based on user grouping and the random pilot allocation scheme, the system performance of the proposed scheme has been effectively improved. © 2019 IEEE.

关键词： Quality of service

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