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Multi-proxy quantum group signature scheme with threshold shared verification 被引量:4
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作者 杨宇光 《Chinese Physics B》 SCIE EI CAS CSCD 2008年第2期415-418,共4页
A multi-proxy quantum group signature scheme with threshold shared verification is proposed. An original signer may authorize a proxy group as his proxy agent. Then only the cooperation of all the signers in the proxy... A multi-proxy quantum group signature scheme with threshold shared verification is proposed. An original signer may authorize a proxy group as his proxy agent. Then only the cooperation of all the signers in the proxy group can generate the proxy signature on behalf of the original signer. In the scheme, any t or more of n receivers can verify the message and any t - 1 or fewer receivers cannot verify the validity of the proxy signature. 展开更多
关键词 quantum signature multi-proxy quantum group signature threshold shared verification
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Single-mode low threshold current multi-hole vertical-cavity surface-emitting lasers 被引量:1
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作者 赵振波 徐晨 +3 位作者 解意洋 周康 刘发 沈光地 《Chinese Physics B》 SCIE EI CAS CSCD 2012年第3期232-235,共4页
A multi-hole vertical-cavity surface-emitting laser (VCSEL) operating in stable single mode with a low threshold current was produced by introducing multi-leaf scallop holes on the top distributed Bragg-refleetor of... A multi-hole vertical-cavity surface-emitting laser (VCSEL) operating in stable single mode with a low threshold current was produced by introducing multi-leaf scallop holes on the top distributed Bragg-refleetor of an oxidation- confined 850 nm VCSEL. The single-mode output power of 2.6 mW, threshold current of 0.6 mA, full width of half maximum lasing spectrum of less than 0.1 nm, side mode suppression ratio of 28.4 dB, and far-field divergence angle of about 10% are obtained. The effects of different hole depths on the optical characteristics are simulated and analysed, including far-field divergence, spectrum and lateral cavity mode. The single-mode performance of this multi-hole device is attributed to the large radiation loss from the inter hole spacing and the scattering loss at the bottom of the holes, particularly for higher order modes. 展开更多
关键词 single mode low threshold current multi-hole vertical-cavity surlace-emitting laser
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Bipartite Threshold Multi-Secret Sharing Scheme Based on Hypersphere 被引量:1
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作者 Bin Li 《American Journal of Computational Mathematics》 2019年第4期207-220,共14页
To address the problem that existing bipartite secret sharing scheme is short of dynamic characteristic, and to solve the problem that each participant can only use secret share once, this paper proposed a bipartite (... To address the problem that existing bipartite secret sharing scheme is short of dynamic characteristic, and to solve the problem that each participant can only use secret share once, this paper proposed a bipartite (n1+n2, m1+m2)-threshold multi-secret sharing scheme which combined cryptography and hypersphere geometry. In this scheme, we introduced a bivariate function and a coordinate function over finite field Zp to calculate the derived points of secret share, which can reconstruct the shared secrets by producing the intersection point of hypernormal plane and normal line on the hypertangent plane. At the initial stage the secret dealer distributes to each participant a secret share that can be kept secret based on the intractability of discrete logarithm problem and need not be changed with updating the shared secrets.Each cooperative participant only needs to submit a derived point calculated from the secret share without exposing this secret share during the process of reconstructing the shared secret. Analyses indicate that the proposed scheme is not only sound and secure because of hypersphere geometric properties and the difficulty of discrete logarithm problem, but also efficient because of its well dynamic behavior and the invariant secret share. Therefore, this bipartite threshold multi-secret sharing scheme is easy to implement and is applicable in practical settings. 展开更多
关键词 BIPARTITE threshold multi-Secret SHARING HYPERSPHERE Hypernormal PLANE Hypertangent PLANE
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A Semi-Vectorial Hybrid Morphological Segmentation of Multicomponent Images Based on Multithreshold Analysis of Multidimensional Compact Histogram 被引量:1
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作者 Adles Kouassi Sié Ouattara +2 位作者 Jean-Claude Okaingni Wognin J. Vangah Alain Clement 《Open Journal of Applied Sciences》 2017年第11期597-610,共14页
In this work, we propose an original approach of semi-vectorial hybrid morphological segmentation for multicomponent images or multidimensional data by analyzing compact multidimensional histograms based on different ... In this work, we propose an original approach of semi-vectorial hybrid morphological segmentation for multicomponent images or multidimensional data by analyzing compact multidimensional histograms based on different orders. Its principle consists first of segment marginally each component of the multicomponent image into different numbers of classes fixed at K. The segmentation of each component of the image uses a scalar segmentation strategy by histogram analysis;we mainly count the methods by searching for peaks or modes of the histogram and those based on a multi-thresholding of the histogram. It is the latter that we have used in this paper, it relies particularly on the multi-thresholding method of OTSU. Then, in the case where i) each component of the image admits exactly K classes, K vector thresholds are constructed by an optimal pairing of which each component of the vector thresholds are those resulting from the marginal segmentations. In addition, the multidimensional compact histogram of the multicomponent image is computed and the attribute tuples or ‘colors’ of the histogram are ordered relative to the threshold vectors to produce (K + 1) intervals in the partial order giving rise to a segmentation of the multidimensional histogram into K classes. The remaining colors of the histogram are assigned to the closest class relative to their center of gravity. ii) In the contrary case, a vectorial spatial matching between the classes of the scalar components of the image is produced to obtain an over-segmentation, then an interclass fusion is performed to obtain a maximum of K classes. Indeed, the relevance of our segmentation method has been highlighted in relation to other methods, such as K-means, using unsupervised and supervised quantitative segmentation evaluation criteria. So the robustness of our method relatively to noise has been tested. 展开更多
关键词 MORPHOLOGICAL SEGMENTATION Vectorial Orders Semi-Vectorial SEGMENTATION multiDIMENSIONAL COMPACT HISTOGRAM multi-thresholds Fusion Inter-Class Classification
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Scheduler Algorithm for Multi-Class Switch with Priority Threshold
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作者 Abdul Aziz Abdul Rahman Kamaruzzaman Seman +2 位作者 Kamarudin Saadan Ahmad Kamsani Samingan Azreen Azman 《International Journal of Communications, Network and System Sciences》 2012年第6期313-320,共8页
The requirement for guaranteed Quality of Service (QoS) have become very essential since there are numerous network base application is available such as video conferencing, data streaming, data transfer and many more... The requirement for guaranteed Quality of Service (QoS) have become very essential since there are numerous network base application is available such as video conferencing, data streaming, data transfer and many more. This has led to the multi-class switch architecture to cater for the needs for different QoS requirements. The introduction of threshold in multi-class switch to solve the starvation problems in loss sensitive class has increased the mean delay for delay sensitive class. In this research, a new scheduling architecture is introduced to improve mean delay in delay sensitive class when the threshold is active. The proposed architecture has been simulated under uniform and non-uniform traffic to show performance of the switch in terms of mean delay. The results show that the proposed architecture has achieved better performance as compared to Weighted Fair Queueing (WFQ) and Priority Queue (PQ). 展开更多
关键词 SCHEDULER PRIORITY thresholds multi-CLASS Quality of Service (QOS)
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Multi-Threshold Algorithm Based on Havrda and Charvat Entropy for Edge Detection in Satellite Grayscale Images
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作者 Mohamed A. El-Sayed Hamida A. M. Sennari 《Journal of Software Engineering and Applications》 2014年第1期42-52,共11页
Automatic edge detection of an image is considered a type of crucial information that can be extracted by applying detectors with different techniques. It is a main tool in pattern recognition, image segmentation, and... Automatic edge detection of an image is considered a type of crucial information that can be extracted by applying detectors with different techniques. It is a main tool in pattern recognition, image segmentation, and scene analysis. This paper introduces an edge-detection algorithm, which generates multi-threshold values. It is based on non-Shannon measures such as Havrda & Charvat’s entropy, which is commonly used in gray level image analysis in many types of images such as satellite grayscale images. The proposed edge detection performance is compared to the previous classic methods, such as Roberts, Prewitt, and Sobel methods. Numerical results underline the robustness of the presented approach and different applications are shown. 展开更多
关键词 multi-threshold EDGE Detection MEASURE ENTROPY Havrda & Charvat’s ENTROPY
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多k位数阈值的谓词加密方案
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作者 李婷 陈振华 《计算机应用与软件》 北大核心 2026年第1期338-347,共10页
现有支持比较大小的谓词加密方案没有考虑属性值的排序位置,且大多数方案没有实现更强的隐私性——属性隐藏。针对这两个问题,提出一种具有属性隐藏的多k位数阈值谓词加密方案。设计一种新的编码,将多个排序后的属性值和多个阈值的比较... 现有支持比较大小的谓词加密方案没有考虑属性值的排序位置,且大多数方案没有实现更强的隐私性——属性隐藏。针对这两个问题,提出一种具有属性隐藏的多k位数阈值谓词加密方案。设计一种新的编码,将多个排序后的属性值和多个阈值的比较大小转化为多内积问题;采用对偶向量空间上的内积加密技术,构造随机数等式实现多内积问题;构造属性盲化方法实现属性隐藏。安全性证明和性能分析表明,所提方案在标准模型下是可以抵抗选择明文攻击的,且具备较好的存储性能。 展开更多
关键词 谓词加密 k 位数阈值 比较大小 属性隐藏
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基于激光测距的深松作业检测技术
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作者 侯云涛 吴泽全 +4 位作者 蔡晓华 东忠阁 程睿 李源源 祝天宇 《农机化研究》 北大核心 2026年第4期110-117,共8页
针对激光测距技术在深松作业检测中的应用进行深入研究,提出了一种自适应多门限值误差拟合方法。算法通过自适应调整多个门限值,动态寻找激光飞行时间误差最佳拟合校正方案,能够有效克服回波信号上升沿鉴别时刻因干扰脉冲产生的误差。... 针对激光测距技术在深松作业检测中的应用进行深入研究,提出了一种自适应多门限值误差拟合方法。算法通过自适应调整多个门限值,动态寻找激光飞行时间误差最佳拟合校正方案,能够有效克服回波信号上升沿鉴别时刻因干扰脉冲产生的误差。基于此方法,研发了一款智能化深松作业检测设备,其能够自主进行耕层断面数据的采集和保存,提高数据采集和处理的效率。同时,开展了测距试验,具体方法为:将SICK DL100-22AA2101激光测距仪的测距值作为标准距离,试验距离为1~4 m,取1 m作为步长,基于所研发设备,采用本文方法与双门限值时刻鉴别方法分别对同一距离进行5次测量作为实测距离,比较实测距离的标准差,以及实测距离均值与对应标准距离的误差。采用本文研发设备和人工方式分别对土壤膨松度和扰动系数进行检测,设备检测结果为土壤蓬松度27.0%、土壤扰动系数22.3%,人工方式检测结果为土壤蓬松度27.1%、土壤扰动系数22.7%。试验证明:研发设备在显著提高测量效率的前提下,得到的测量结果与传统人工测量方式几乎没有差异,具有较高的实用性和可靠性。 展开更多
关键词 深松作业检测 激光测距 自适应多门限值误差拟合算法
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考虑决策惯性的城市轨道交通多交路出行选择模型
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作者 巩亮 朱欣雨 +2 位作者 许得杰 胡晨皓 杨阳阳 《深圳大学学报(理工版)》 北大核心 2026年第1期47-56,共10页
多交路运营是中国城市轨道交通网络化运营组织的重要组成部分,研究乘客在多交路运营条件下的出行选择行为,对把握乘客出行规律、满足多样化出行需求具有重要意义.基于随机后悔最小化模型,引入乘客对路径属性感知的异质性,构建融合效用... 多交路运营是中国城市轨道交通网络化运营组织的重要组成部分,研究乘客在多交路运营条件下的出行选择行为,对把握乘客出行规律、满足多样化出行需求具有重要意义.基于随机后悔最小化模型,引入乘客对路径属性感知的异质性,构建融合效用与后悔机制的多尺度混合模型,克服了传统模型未考虑路径熟悉度导致的乘客出行行为与实际出行行为之间的决策偏差.通过整合容忍阈值与决策惯性,提出一种多交路出行选择建模方法,基于典型案例的陈述偏好(stated preference,SP)调查数据,完成模型参数估计与性能验证.研究结果表明,乘客对出行时间属性的容忍阈值为6.98 min;相较于基准模型,考虑决策惯性的模型在似然值、贝叶斯信息准则(Bayesian information criterion,BIC)及命中率指标上均表现更优,表明其具备更强的数据拟合能力;支付意愿分析进一步揭示乘客愿意为服务提升承担额外时间成本,从而验证了所提模型的有效性与实用性. 展开更多
关键词 城市轨道交通 路径选择 决策惯性 容忍阈值 多交路 混合效用-后悔模型
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基于深度视觉信息的驾驶员分心行为检测方法
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作者 赵栓峰 王茂权 +3 位作者 李乐平 谢乐坤 李小雨 李开放 《现代电子技术》 北大核心 2026年第4期165-172,共8页
驾驶员分心行为(DDB)检测对于高级驾驶辅助系统(ADAS)极为关键。针对现有DDB检测模型依赖单一RGB视觉信息、全局特征表示不足且泛化性弱等问题,提出一种基于深度视觉信息的DDB检测模型,旨在利用多特征融合与深度学习技术,解决传统方法在... 驾驶员分心行为(DDB)检测对于高级驾驶辅助系统(ADAS)极为关键。针对现有DDB检测模型依赖单一RGB视觉信息、全局特征表示不足且泛化性弱等问题,提出一种基于深度视觉信息的DDB检测模型,旨在利用多特征融合与深度学习技术,解决传统方法在DDB检测中存在的问题。首先,开发了基于IHSNet的视觉特征融合模块,通过结合彩色纹理特征与深度信息,捕捉驾驶员行为的空间依赖关系;其次,构建反向残差软阈值注意力(STA-IR)模块来抑制复杂背景的干扰,减少特征提取过程中冗余特征的生成;然后,提出了全局特征提取STA-FE模块,增强模型的全局特征表示能力。实验结果表明,所提方法在自建驾驶行为数据集上的检测准确率高达98.76%,在准确性和可靠性方面优于现有的方法,对推进ADAS的发展具有重要的理论和实践意义。 展开更多
关键词 分心行为检测 深度视觉信息 高级驾驶辅助系统 多特征融合 反向残差 软阈值注意力
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P2混合动力商用车能量管理策略研究
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作者 郑伟光 李燕青 +1 位作者 李骏 杨昌波 《机械设计与制造》 北大核心 2026年第1期99-104,共6页
介绍了电机辅助控制策略的工作原理,并在此基础上为某款构型为P2并联混合动力汽车设计并改进了一种基于逻辑门限值的整车控制策略,控制策略中逻辑门限值的协调优化是提高整车运行性能的关键。针对现有遗传算法、粒子群算法、模拟退火算... 介绍了电机辅助控制策略的工作原理,并在此基础上为某款构型为P2并联混合动力汽车设计并改进了一种基于逻辑门限值的整车控制策略,控制策略中逻辑门限值的协调优化是提高整车运行性能的关键。针对现有遗传算法、粒子群算法、模拟退火算法运行周期长,且容易陷入局部寻优问题,提出了一种基于多岛遗传算法的控制策略参数优化方法,并在Isight平台上进行集成优化。在中国商用车工况C-WTVC下进行仿真测试,结果表明在保证电池SOC平稳、整车速度跟随的前提下,与电机辅助策略相比,采用多岛遗传算法优化结果在整车油耗、CO_(2)排放量都得到了有效改善。 展开更多
关键词 电机辅助策略 P2混合动力系统 逻辑门限策略 Isight仿真平台 多岛遗传算法
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基于Dlib的驾驶员疲劳检测预警系统设计
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作者 杨磊 郝贞利 +2 位作者 徐子涵 翁俊杰 刘朋燕 《科技创新与应用》 2026年第2期107-110,共4页
该文运用Dlib人脸检测模型与人脸检测模板匹配方法,通过计算EAR、MAR、pitch、yaw和roll参数,采用多阈值判定研究疲驾驶员疲劳状态,并将该算法在Raspberry Pi 5硬件平台实现,搭建疲劳驾驶检测预警系统,最后通过公开数据集验证该系统对... 该文运用Dlib人脸检测模型与人脸检测模板匹配方法,通过计算EAR、MAR、pitch、yaw和roll参数,采用多阈值判定研究疲驾驶员疲劳状态,并将该算法在Raspberry Pi 5硬件平台实现,搭建疲劳驾驶检测预警系统,最后通过公开数据集验证该系统对于驾驶员面部疲劳状态检测及提醒的准确性和良好的系统性能。EAR、MAR、HPE 3种判断准则在公开数据集Drowsiness、YawDD及自制数据集上分别达到95.6%、96%与96%的平均正确率;在面部无遮挡的情况下,该系统实时帧率达到20 FPS,基本可实时对驾驶员疲劳状态作出相应提醒,同时具备较高的准确率。 展开更多
关键词 疲劳驾驶 多阈值判定 Dlib EAR MAR HPE
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基于Dlib与YOLO11改进的驾驶员疲劳分心检测及预警系统
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作者 杨磊 郝贞利 +2 位作者 徐子涵 翁俊杰 刘朋燕 《科技创新与应用》 2026年第1期55-58,共4页
驾驶员在实际驾驶的过程中会存在面部遮挡场景,例如戴眼镜、戴口罩等,传统单一通过提取驾驶员面部特征进行疲劳检测的Dlib算法不再适用。该文结合Dlib与YOLO11使用多阈值判定,对传统Dlib疲劳检测算法进行改进,给出戴眼镜、戴口罩等驾驶... 驾驶员在实际驾驶的过程中会存在面部遮挡场景,例如戴眼镜、戴口罩等,传统单一通过提取驾驶员面部特征进行疲劳检测的Dlib算法不再适用。该文结合Dlib与YOLO11使用多阈值判定,对传统Dlib疲劳检测算法进行改进,给出戴眼镜、戴口罩等驾驶员面部遮挡场景的疲劳检测算法,并在Raspberry Pi 5硬件平台,使用公开数据集验证改进算法对于驾驶员疲劳检测的准确性。另外,改进算法还可以对吸烟、打电话等这类分心驾驶行为进行检测和语音提醒,对疲劳和分心行为实现更全面的检测和预警。 展开更多
关键词 疲劳驾驶 Dlib YOLO11 Raspberry Pi 5 多阈值判定
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基于计算机视觉算法的零部件缺陷智能检测系统
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作者 何银银 《汽车电器》 2026年第1期111-113,共3页
随着汽车产业向高端制造转型,现有自动化缺陷检测设备在应对曲面工件、反光材质及复合型缺陷时存在明显不足。为此,本文设计并实现一种融合计算机视觉算法的智能检测系统。成像环节采用多相机阵列协同+景深扩展算法,实现曲面工件全域覆... 随着汽车产业向高端制造转型,现有自动化缺陷检测设备在应对曲面工件、反光材质及复合型缺陷时存在明显不足。为此,本文设计并实现一种融合计算机视觉算法的智能检测系统。成像环节采用多相机阵列协同+景深扩展算法,实现曲面工件全域覆盖;图像处理环节引入色相-饱和度-明度(Hue-Saturation-Value,HSV)颜色空间转换、自适应直方图均衡算法,有效抑制反光与光照不均问题;缺陷检测环节融合深度学习模型与阈值分割算法,实现微小缺陷的精准定位。经测试,该系统对0.2 mm级划痕的检出率达98.7%,气泡与油渍的误判率仅为0.3%;单件检测耗时稳定在420 ms,环境温漂影响控制在3%误差带内。 展开更多
关键词 计算机视觉 缺陷检测 多角度成像系统 阈值分割算法
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基于生成对抗网络的机电设备故障信号自动识别方法研究
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作者 李炳凯 侯宝海 《自动化应用》 2026年第2期155-157,共3页
现有设备故障信号识别方法多通过构建复杂模型进行特征提取与分类。然而,在复杂工况和低信噪比环境下,这些方法存在特征提取不全面、易受噪声干扰等问题,导致识别精度与可靠性欠佳。为此,开展了基于生成对抗网络的机电设备故障信号自动... 现有设备故障信号识别方法多通过构建复杂模型进行特征提取与分类。然而,在复杂工况和低信噪比环境下,这些方法存在特征提取不全面、易受噪声干扰等问题,导致识别精度与可靠性欠佳。为此,开展了基于生成对抗网络的机电设备故障信号自动识别方法研究。首先,利用生成对抗网络,通过机电设备信号特征与生成样本的协同映射,生成覆盖全故障等级的合成特征集。其次,基于生成对抗网络筛选故障特征,量化特征分量重要性,以锁定候选故障类型。最后,通过多维度校验与动态阈值判定输出识别结果。实验结果表明,在不同信噪比条件下,该方法的F1分数均显著高于对比方法,具有更高的机电设备故障信号识别精度。 展开更多
关键词 生成对抗网络 机电设备 故障信号 多维度校验 动态阈值判定
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基于Mamba多模态情感识别方法
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作者 欧阳亮 尚德龙 刘宾 《计算机技术与发展》 2026年第2期109-117,共9页
为克服传统激活函数在非线性特征提取、情感类别判别及多模态信息融合中存在的局限性,该文提出了一种分层融合与激活增强的Mamba多模态情感识别模型方法(A Hierarchical Fusion and Activation Enhanced Mamba Model,Mamba-HFAEM)。该... 为克服传统激活函数在非线性特征提取、情感类别判别及多模态信息融合中存在的局限性,该文提出了一种分层融合与激活增强的Mamba多模态情感识别模型方法(A Hierarchical Fusion and Activation Enhanced Mamba Model,Mamba-HFAEM)。该方法首先通过动态阈值激活函数(Dynamic Threshold Activation Function,DTAF)引入动态阈值机制,有效提升模型对复杂情感特征的捕捉能力,并加快训练与推理速度;其次,自适应多头对比损失(Adaptive Multi-head Contrastive Loss,AMCL)利用自适应多头对比损失函数从多个视角构建特征间相似性度量,显著拉大不同情感类别间的距离,同时减少同类内部的分散性;最后,分层融合与动态门控机制(Hierarchical Fusion with Dynamic Gating,HFDG)采用分层编码与动态门控策略,实现各模态低层局部特征与高层语义信息的自适应融合,有效抑制噪声和冗余信息。实验结果显示:在IEMOCAP数据集中,该方法达到了最佳性能:准确率80.45%,精确率80.62%,召回率79.10%,F 1分数78.42%,参数量12.37 M,浮点运算次数5.58 G,训练时间65.87 s,推理时间8.14 ms;而在MELD数据集中,最佳结果为准确率77.02%,精确率77.58%,召回率75.64%,F 1分数74.89%,参数量12.25 M,浮点运算次数5.34 G,训练时间62.47 s,推理时间7.84 ms。这些结果充分验证了该方法在多模态情感识别任务中的优越性能和应用潜力。 展开更多
关键词 多模态 情感识别 动态阈值激活函数 自适应多头对比损失 分层动态门控融合
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Weighted Self-Adaptive Threshold Wavelets for Interpolation Point Selection Used in Interconnect MOR 被引量:1
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作者 Xinsheng Wang Mingyan Yu 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2018年第1期39-45,共7页
As process technology development,model order reduction( MOR) has been regarded as a useful tool in analysis of on-chip interconnects. We propose a weighted self-adaptive threshold wavelet interpolation MOR method on ... As process technology development,model order reduction( MOR) has been regarded as a useful tool in analysis of on-chip interconnects. We propose a weighted self-adaptive threshold wavelet interpolation MOR method on account of Krylov subspace techniques. The interpolation points are selected by Haar wavelet using weighted self-adaptive threshold methods dynamically. Through the analyses of different types of circuits in very large scale integration( VLSI),the results show that the method proposed in this paper can be more accurate and efficient than Krylov subspace method of multi-shift expansion point using Haar wavelet that are no weighted self-adaptive threshold application in interest frequency range,and more accurate than Krylov subspace method of multi-shift expansion point based on the uniform interpolation point. 展开更多
关键词 INTERCONNECT model order reduction HAAR wavelet transform WEIGHTED threshold multi-shift ARNOLDI circuit synthesis
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An Improved SOI CMOS Technology Based Circuit Technique for Effective Reduction of Standby Subthreshold Leakage 被引量:1
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作者 Manish Kumar Md. Anwar Hussain Sajal K. Paul 《Circuits and Systems》 2013年第6期431-437,共7页
Silicon-on-insulator (SOI) CMOS technology is a very attractive option for implementing digital integrated circuits for low power applications. This paper presents migration of standby subthreshold leakage control tec... Silicon-on-insulator (SOI) CMOS technology is a very attractive option for implementing digital integrated circuits for low power applications. This paper presents migration of standby subthreshold leakage control technique from a bulk CMOS to SOI CMOS technology. An improved SOI CMOS technology based circuit technique for effective reduction of standby subthreshold leakage power dissipation is proposed in this paper. The proposed technique is validated through design and simulation of a one-bit full adder circuit at a temperature of 27℃, supply voltage, VDD of 0.90 V in 120 nm SOI CMOS technology. Existing standby subthreshold leakage control techniques in CMOS bulk technology are compared with the proposed technique in SOI CMOS technology. Both the proposed and existing techniques are also implemented in SOI CMOS technology and compared. Reduction in standby subthreshold leakage power dissipation by reduction factors of 54x and 45x foraone-bit full adder circuit was achieved using our proposed SOI CMOS technology based circuit technique in comparison with existing techniques such as MTCMOS technique and SCCMOS technique respectively in CMOS bulk technology. Dynamic power dissipation was also reduced significantly by using this proposed SOI CMOS technology based circuit technique. Standby subthreshold leakage power dissipation and dynamic power dissipation were also reduced significantly using the proposed circuit technique in comparison with other existing techniques, when all circuit techniques were implemented in SOI CMOS technology. All simulations were performed using Microwindver 3.1 EDA tool. 展开更多
关键词 STANDBY SUBthreshold LEAKAGE SOI Technology Low Power multi-threshold VOLTAGE STACK Effect Reverse Gate VOLTAGE
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基于空中计算CoMAC架构的不同计算场景叠加符号判决算法
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作者 秦晓卫 周子涵 陈力 《中山大学学报(自然科学版)(中英文)》 CAS 北大核心 2025年第1期61-70,共10页
本文研究不同场景下基于空中计算的多址信道计算(CoMAC)架构的覆盖符号决策算法。首先,从理论上分析了XOR、ADD、MOD三种场景中加性高斯白噪声(AWGN)多址接入信道下叠加符号的概率密度分布,提出了一种基于先验概率的最优门限判决策略。... 本文研究不同场景下基于空中计算的多址信道计算(CoMAC)架构的覆盖符号决策算法。首先,从理论上分析了XOR、ADD、MOD三种场景中加性高斯白噪声(AWGN)多址接入信道下叠加符号的概率密度分布,提出了一种基于先验概率的最优门限判决策略。其次,推导了系统最优门限及对应误码率的理论表达式。最后,通过仿真验证了不同信噪比、传感器节点个数及先验概率对于该门限判决方案的鲁棒性和可靠性的影响。与通信计算相分离的传统方案相比,空中计算判决方案具有更好的检测性能,为多址接入信道下的信号识别提供了新的参考方案。 展开更多
关键词 空中计算 多址接入信道 最优门限判决 检测性能
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高效的多阈值图像分割算法
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作者 龙建武 邹婉婷 《重庆理工大学学报(自然科学)》 北大核心 2025年第9期156-165,共10页
多阈值分割是图像分割中常用的技术之一。然而,现有的多阈值方法随着灰度级和阈值数量增加,导致搜索空间急剧扩大,搜索效率下降,并且需要人为指定阈值数,限制了其应用。为了减少搜索范围,避免无效搜索并实现阈值数自适应选择,将采取提... 多阈值分割是图像分割中常用的技术之一。然而,现有的多阈值方法随着灰度级和阈值数量增加,导致搜索空间急剧扩大,搜索效率下降,并且需要人为指定阈值数,限制了其应用。为了减少搜索范围,避免无效搜索并实现阈值数自适应选择,将采取提高搜索效率和快速全局搜索2个策略,提出了一种高效且自适应的多阈值图像分割算法。利用动态规划算法和分治算法降低搜索的时间复杂度,并将阈值搜索问题转化为查找矩阵最值问题,提高分割实效性。在提升效率的基础上,进行不同阈值数的全局搜索,从而确定全局最佳阈值数。实验表明,该算法在BSDS500数据集上的平均运行时间(0.0112 s)显著优于DP+AMasi、HGJO等方法,且在UM、RI、PSNR和SSIM等指标上均表现优异,有效缓解了多阈值分割的速度与精度矛盾。 展开更多
关键词 图像分割 多阈值分割 矩阵搜索算法 OTSU
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