In order to solve the challenge of breast cancer region segmentation,we improved the U-Net.The convolutional block attention module with prioritized attention(CBAM-PA)and dilated transformer(Dformer)modules were desig...In order to solve the challenge of breast cancer region segmentation,we improved the U-Net.The convolutional block attention module with prioritized attention(CBAM-PA)and dilated transformer(Dformer)modules were designed to replace the convolutional layers at the encoding side in the base U-Net,the input logic of the U-Net was improved by dynamically adjusting the input size of each layer,and the short connections in the U-Net were replaced with crosslayer connections to enhance the image restoration capability at the decoding side.On the breast ultrasound images(BUSI)dataset,we obtain a Dice coefficient of 0.8031 and an intersection-over-union(IoU)value of 0.7362.The experimental results show that the proposed enhancement method effectively improves the accuracy and quality of breast cancer lesion region segmentation.展开更多
A quality of service（QoS） guaranteed cross-layer resource allocation algorithm with physical layer, medium access control（MAC） layer and call admission control（CAC） considered simultaneously is proposed for the ...A quality of service（QoS） guaranteed cross-layer resource allocation algorithm with physical layer, medium access control（MAC） layer and call admission control（CAC） considered simultaneously is proposed for the full IP orthogonal frequency division multiple access（OFDMA） communication system, which can ensure the quality of multimedia services in full IP networks.The algorithm converts the physical layer resources such as subcarriers, transmission power, and the QoS metrics into equivalent bandwidth which can be distributed by the base station in all three layers. By this means, the QoS requirements in terms of bit error rate（BER）, transmission delay and dropping probability can be guaranteed by the cross-layer optimal equivalent bandwidth allocation. The numerical results show that the proposed algorithm has higher spectrum efficiency compared to the existing systems.展开更多
Cooperative routing technology can efficiently improve the performance of the network by initiatively selecting cooperative nodes to forward the data. In this article, cooperative routing algorithms are proposed and i...Cooperative routing technology can efficiently improve the performance of the network by initiatively selecting cooperative nodes to forward the data. In this article, cooperative routing algorithms are proposed and implemented based on three different criteria： optimal channel state, maximal remaining energy, and the shortest path. The simulation based on network simulation （NS） compares the performance of the proposed algorithms with non-cooperative destination-sequenced distancevector （DSDV） protocol. The results reveal that cooperative algorithms outperform DSDV routing protocol with distinctive gains at the cost of sacrificing acceptable normalized network load.展开更多
基金supported by the National Natural Science Foundation of China(No.61961037)the Industrial Support Plan of Education Department of Gansu Province(No.2021CYZC-30)。
文摘In order to solve the challenge of breast cancer region segmentation,we improved the U-Net.The convolutional block attention module with prioritized attention(CBAM-PA)and dilated transformer(Dformer)modules were designed to replace the convolutional layers at the encoding side in the base U-Net,the input logic of the U-Net was improved by dynamically adjusting the input size of each layer,and the short connections in the U-Net were replaced with crosslayer connections to enhance the image restoration capability at the decoding side.On the breast ultrasound images(BUSI)dataset,we obtain a Dice coefficient of 0.8031 and an intersection-over-union(IoU)value of 0.7362.The experimental results show that the proposed enhancement method effectively improves the accuracy and quality of breast cancer lesion region segmentation.
基金supported by the National Natural Science Foundation of China(61271235)the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions-Information and Communication Engineering
文摘A quality of service（QoS） guaranteed cross-layer resource allocation algorithm with physical layer, medium access control（MAC） layer and call admission control（CAC） considered simultaneously is proposed for the full IP orthogonal frequency division multiple access（OFDMA） communication system, which can ensure the quality of multimedia services in full IP networks.The algorithm converts the physical layer resources such as subcarriers, transmission power, and the QoS metrics into equivalent bandwidth which can be distributed by the base station in all three layers. By this means, the QoS requirements in terms of bit error rate（BER）, transmission delay and dropping probability can be guaranteed by the cross-layer optimal equivalent bandwidth allocation. The numerical results show that the proposed algorithm has higher spectrum efficiency compared to the existing systems.
基金This study is supported by National Natural Science Foundation of China(60372107)Chongqing Key Laboratory 0pen Project Foundation.
文摘Cooperative routing technology can efficiently improve the performance of the network by initiatively selecting cooperative nodes to forward the data. In this article, cooperative routing algorithms are proposed and implemented based on three different criteria： optimal channel state, maximal remaining energy, and the shortest path. The simulation based on network simulation （NS） compares the performance of the proposed algorithms with non-cooperative destination-sequenced distancevector （DSDV） protocol. The results reveal that cooperative algorithms outperform DSDV routing protocol with distinctive gains at the cost of sacrificing acceptable normalized network load.
