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Challenge-aware U-net for breast lesion segmentation in ultrasound images

Pattern Recognition 2025年 168卷

作者： Dengdi Sun Changxu Dong Yuchen Yan Bo Jiang Yayang Duan Zhengzheng Tu Chaoxue Zhang Key Laboratory of Intelligent Computing & Signal Processing (ICSP) Ministry of Education School of Artificial Intelligence Anhui University China Institute of Artificial Intelligence Hefei Comprehensive National Science Center China Anhui Provincial Key Laboratory of Multimodal Cognitive Computing School of Computer Science and Technology Anhui University China Department of Ultrasound the First Affiliated Hospital of Anhui Medical University China

Deep learning methods can enhance the efficiency of tumor segmentation in breast ultrasound (BUS) images. However, noise interference, small tumors, and blurred boundaries can reduce segmentation accuracy. We design a three-branch challenge-aware U-net (CAU-net) to address these main challenges in BUS images. Our CAU-net extracts the features from three challenge-aware encoders in parallel first. Secondly, we propose an adaptive aggregation layer (AAL) to merge the multi-scale features of three challenging branches, enabling the network to adaptively handle different breast lesion samples with these main challenges. To further enhance the accuracy of segmentation, we introduce the graph reasoning module (GRM) to the network to model the correlation between the channels of the features and acquire the global information in the features. The result of our experiment on two datasets demonstrates the superiority of CAU-net over the advanced medical image segmentation methods. Our code can be downloaded from https://***/tzz-ahu .

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Economic Scheduling of Multi-microgrid Systems Based on Distributed Event-triggered Consensus Strategy 8

Economic Scheduling of Multi-microgrid Systems Based on Dist...

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8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Xu, Tingting Fang, Xiaohan Fan, Yuan Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

ISBN: (纸本)9798350328813

Multi-microgrid (MMG) systems offer notable advantages in terms of power sharing and mutual support when compared to individual microgrids (MGs). This paper presents a based on distributed event-triggered consensus strategy for optimizing the economic dispatch of multiple microgrids. The incorporation of the event-triggered mechanism into the multi-microgrid framework significantly reduces unnecessary communication among microgrids in contrast to the conventional time-triggered approach. For the multi-microgrid setup, a two-layer control strategy consisting of inter-microgrid and intra-microgrid layers is employed to achieve coherence by regulating the micro-incremental rates of distributed generation (DG) units. Leaderless event-triggered consistency is utilized for inter-microgrid coordination, while leader event-triggered consistency is implemented for intra-microgrid coordination, ultimately realizing the economic objective of minimizing the operational costs of the multi-microgrid system. Simulation results validate the efficacy of introducing the event-triggered mechanism and its impact on the economic dispatch of the multi-microgrid system. © 2023 IEEE.

关键词： Consensus Event-triggered Micro-incremental rates Multi-microgrid

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Spiking neural P systems for arithmetic operations

Spiking neural P systems for arithmetic operations

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6th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2011

作者： Zeng, Xiangxiang Song, Tao Pan, Linqiang Zhang, Xingyi Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9780769545141

Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices - spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes. © 2011 IEEE.

关键词： Encoding (symbols)

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A New Energy-Efficient Flooding Broadcast Time Synchronization for Wireless Sensor Networks 6th

A New Energy-Efficient Flooding Broadcast Time Synchronizati...

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6th International Conference on Positive Systems, POSTA 2018

作者： Xia, Tengfei He, Shuping Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education School of Electrical Engineering and Automation Anhui University Hefei230601 China

ISBN: (纸本)9783030043261

With the increasing scale of wireless sensor networks (WSN), it inevitably exists some problems in time synchronization, such as the sensitivity to the data of the normal error range, the large energy consumption and the long synchronous convergence time. To solve these problems, a high precision energy efficient broadcast time synchronization algorithm is proposed in this paper. This algorithm firstly sets the membership degree of each class and each sample. Then, by constantly iterating and adjusting the membership degree until convergence, it gets the only cluster by calculating each data to improve the accuracy. Finally, the MATlab simulation results show that the proposed algorithm can not only improve the time synchronization accuracy, but also reduce the overall energy consumption level of the whole WSN effectively. © 2019, Springer Nature Switzerland AG.

关键词： Wireless sensor networks

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Design of a new type of broadband antenna with indoor distribution

Design of a new type of broadband antenna with indoor distri...

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Wang, He-Zhou Wu, Xian-Liang Huang, Zhi-Xiang Zhang, Liang Qin, Kun Qi, Qi Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China Hefei Normal University Hefei 230061 China

ISBN: (纸本)9781467321839

Based on the principle of discone antenna, a new type of broadband omnidirectional antenna is presented. According to antenna loading technology, introducing the cone surface profile of the broken line structure and short-circuit load of ways which use three short-circuit branches improve the low-frequency electrical characteristics of the antenna and the bandwidth. A very good miniaturization is achieved which reduces the total size. The physical antenna is produced. The calculated and measured VSWR patterns seem to be in good agreement with each other. The VSWR is less than 1.5 at 800MHz-2600MHz. H plane has an ominidirectional radiation pattern. As to small size and low cost, it will have good market prospects. © 2012 IEEE.

关键词： Directional patterns (antenna)

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Data-Driven for Affine Nonlinear System via Adaptive Control and LDI technology 10

Data-Driven for Affine Nonlinear System via Adaptive Control...

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10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021

作者： Tu, Yidong Chen, Huan He, Shuping Key Laboratory of Intelligent Computing and Signal Processing School of Electrical Engineering and Automation Anhui University Ministry of Education Hefei230601 China

ISBN: (纸本)9781665424233

This paper investigates a novel optimal control scheme for affine nonlinear systems. With the complexity of Hamilton-Jacobi-Bellman function and the linear differential inclusion based on neural network model is used to linearize the affine system, Meanwhile, a data-driven policy iterative algorithm is proposed to solve the relevant optimal solution. Finally, a simulation example is given to demonstrates the feasibility and applicability of the designed algorithm. © 2021 IEEE.

关键词： Neural network models

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Optimal Dispatch Strategy of Electric Vehicles under Coupled Transportation Network and Power Grid 8

Optimal Dispatch Strategy of Electric Vehicles under Coupled...

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8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Luo, Keming Fang, Xiaohan Fan, Yuan Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

ISBN: (纸本)9798350328813

This paper addresses the complex nature of electric vehicles (EVs) as both transportation means and mobile loads, and proposes an optimal dispatching scheduling strategy for EVs in the coupled transportation network and power grid. Firstly, a dynamic traffic network model is established by utilizing a vast amount of real-world traffic data, including Origin-Destination (OD) information, battery states, and departure times. A graph theory-based analysis is then employed to determine the optimal paths for EVs in the traffic network. Secondly, the charging behavior of EVs is integrated with the power grid, and charge-discharge scheduling is conducted for charging stations to optimize the power grid load curve while meeting the charging demands of EVs. Additionally, adaptive electricity prices are formulated based on the power grid's load generation through a dynamic pricing mechanism, further optimizing the charging strategy for EVs. Lastly, the impact of EV charging on the power grid load is analyzed by contrasting ordered and unordered charging and discharging modes. The research results demonstrate that the proposed optimal charging scheduling strategy for EVs in traffic-aware power grids can significantly reduce peak-valley differences in power grid load, enhance the economic and operational stability of the power grid, and effectively meet the charging demands of EV users. These findings provide valuable insights and promising potential for practical applications and widespread adoption. © 2023 IEEE.

关键词： Charging Dispatch Coupled Transportation Network and Power Grid Dynamic Pricing Mechanism Electric Vehicles (EVs)

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Stackelberg Game Model for Optimal Dispatching of Electricity Consumption for Community Microgrid Considering Demand Response Mechanism 8

Stackelberg Game Model for Optimal Dispatching of Electricit...

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8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Tan, Di Fang, Xiaohan Fan, Yuan Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

ISBN: (纸本)9798350328813

Community microgrid is a kind of new power system that acts as an intermediary between community consumers and the grid, playing an important role in realising distributed autonomy and improving the power supply level. To achieve optimal power dispatch in community microgrid, this paper establishes a Stackelberg game model with the community microgrid operator (CMO) as the leader and the consumers aggregator as the follower, and combines the internal pricing method with the demand response mechanism. The paper uses a combination of genetic algorithm and solver to solve the Stackelberg game model to maximise the interests of all parties. Simulation results show that the model can secure the interests of each game subject, balance power supply and demand, and promote peak shaving and valley filling of electrical loads. © 2023 IEEE.

关键词： Community microgrid Demand response mechanism Genetic algorithm Internal prices Stackelberg game model

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A study on turbo code performance based on AWGN channel

A study on turbo code performance based on AWGN channel

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2013 International Conference on Precision Mechanical Instruments and Measurement Technology, ICPMIMT 2013

作者： Zhu, Peng Zhu, Jun Liu, Xiang Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University No.3 Feixi Rd Hefei 230039 China

Turbo codes have a wide range of applications in 3G mobile communications, deep-sea communications, satellite communications and other power constrained fields. In the paper, the Turbo Code Decoding Principle and several major decoding methods are introduced. Simulations of Turbo code performance under different parameters of AWGN channel are made and the effects of the different interleaving length, the number of iterations, and the decoding algorithm to Turbo code performance are also discussed in AWGN channel. Simulation results show that under the same signal-to-noise ratio, the more the number of iterations is, the longer the sequence of information is, and the more excellent decoding algorithm is, the better the performance of Turbo codes is. © 2013 Trans Tech Publications Ltd, Switzerland.

关键词： Bit error rate

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Optimization Strategies for Hydrogen Mixing Scheduling in Natural Gas Networks in Integrated Energy Systems 8

Optimization Strategies for Hydrogen Mixing Scheduling in Na...

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8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Zhang, Zixun Fang, Xiaohan Fan, Yuan Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

ISBN: (纸本)9798350328813

Developing a clean and efficient Integrated Energy System (IES) is critical to optimizing the use of renewable energy sources and harnessing new forms of energy to achieve the country's 2030 carbon peak and 2060 carbon neutrality targets. Existing natural gas pipelines in China facilitate the transport of hydrogen blended into the natural gas network and offer the possibility of storing hydrogen blended into natural gas pipelines. This paper proposes an optimal integrated energy dispatch strategy based on electricity-gas-hydrogen-heat-cooling demand, taking into account carbon emissions and economic efficiency, where renewable energy is no longer connected to the grid or stored in batteries, but converted to hydrogen mixed into the natural gas grid for transport and storage, with the economic objective of minimizing the total IES operating cost, the wind and light abandonment cost and the carbon emission cost. The CPLEX solver is used to solve the problem, and the feasibility of the proposed model is verified by simulation results, which promotes the consumption of renewable and clean energy. © 2023 IEEE.

关键词： hybrid hydrogen transportation hydrogen energy Integrated energy systems natural gas pipeline network

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