A novel flotation froth image segmentation based on threshold level set method is put forward in view of the problem of over-segmentation and under-segmentation which occurs when the existing method segmented the flot...A novel flotation froth image segmentation based on threshold level set method is put forward in view of the problem of over-segmentation and under-segmentation which occurs when the existing method segmented the flotation froth images. Firstly, the proposed method adopts histogram equalization to improve the contrast of the image, and then chooses the upper threshold and lower threshold from grey value of histogram of the image equalization, and complete image segmentation using the level set method. In this paper, the model which integrates edge with region level set model is utilized, and the speed energy term is introduced to segment the target. Experimental results show that the proposed method has better segmentation results and higher segmentation efficiency on the images with under-segmentation and incorrect segmentation, and it is meaningful for ore dressing industrial.展开更多
针对联盟链微电网电力交易场景的高吞吐量、高数据安全性及数据透明性的需求,提出一种在贡献值模型下的基于可验证随机函数(Verifiable Random Function,VRF)与基于BLS(Boneh-Lynn-Shacham Threshold Signatures,BLS)门限签名的改进实...针对联盟链微电网电力交易场景的高吞吐量、高数据安全性及数据透明性的需求,提出一种在贡献值模型下的基于可验证随机函数(Verifiable Random Function,VRF)与基于BLS(Boneh-Lynn-Shacham Threshold Signatures,BLS)门限签名的改进实用拜占庭容错共识算法(Contribution Value Model,Verifiable Random Function and Boneh-Lynn-Shacham Threshold Signatures Practical ByzantineFault Tolerance,CVB-PBFT)。CVB-PBFT算法通过贡献值模型筛选高贡献节点参与共识,采用VRF和安全随机函数选举不可预测的主节点,结合节点轮换和检测机制以及BLS签名优化通信流程,显著提高算法的性能和安全性。经实验证明,该算法能够有效防御恶意攻击,降低通信开销,并提升共识效率,满足微电网电力交易对时效性和安全性的要求。展开更多
文摘A novel flotation froth image segmentation based on threshold level set method is put forward in view of the problem of over-segmentation and under-segmentation which occurs when the existing method segmented the flotation froth images. Firstly, the proposed method adopts histogram equalization to improve the contrast of the image, and then chooses the upper threshold and lower threshold from grey value of histogram of the image equalization, and complete image segmentation using the level set method. In this paper, the model which integrates edge with region level set model is utilized, and the speed energy term is introduced to segment the target. Experimental results show that the proposed method has better segmentation results and higher segmentation efficiency on the images with under-segmentation and incorrect segmentation, and it is meaningful for ore dressing industrial.
文摘针对联盟链微电网电力交易场景的高吞吐量、高数据安全性及数据透明性的需求,提出一种在贡献值模型下的基于可验证随机函数(Verifiable Random Function,VRF)与基于BLS(Boneh-Lynn-Shacham Threshold Signatures,BLS)门限签名的改进实用拜占庭容错共识算法(Contribution Value Model,Verifiable Random Function and Boneh-Lynn-Shacham Threshold Signatures Practical ByzantineFault Tolerance,CVB-PBFT)。CVB-PBFT算法通过贡献值模型筛选高贡献节点参与共识,采用VRF和安全随机函数选举不可预测的主节点,结合节点轮换和检测机制以及BLS签名优化通信流程,显著提高算法的性能和安全性。经实验证明,该算法能够有效防御恶意攻击,降低通信开销,并提升共识效率,满足微电网电力交易对时效性和安全性的要求。
