检索结果-南通市图书馆

2006 8th International Conference on Solid-State and Integrated Circuit Technology

作者： Ligang Hou Liping Zheng Wuchen Wu VLSI ＆ System Lab Beijing University of Technology

ISBN: (纸本)1424401607

＜正＞This paper forwards a neural network based method on VLSI power *** estimation technique was a tradeoff between precision and *** based power estimation gave the most accurate result but time ***-Carlo[1][2]and other statistical approaches[3][4][5]estimated VLSI power in a less simulation dependent way and got accurate result using less *** paper used neural network to perform VLSI power *** were made on ISCAS89 *** estimation results from [2][3]were used as training or target *** net structure,training plans and vector organizations were *** limited number of test vector（number of benchmark circuits）,limited experimental results showed the neural network based power estimation method could give acceptable results with specific net *** estimation runs *** regression is used to evaluate neural *** results of regression R-value are *** shows that unfolded regression R-value sample fit normal *** method can achieve a much faster power estimation result of VLSI on I/O and gate information without simulation and analysis of detail structure and interconnections.

关键词： power estimation Neural network Very large scale integration IO Statistical analysis

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Speeding up power estimation of Sequential Circuits by Circuit Compaction

Speeding up Power Estimation of Sequential Circuits by Circu...

引用

1998 3rd International Conference on ASIC

作者： Ning Zhu Run-de Zhou Xing-zi Yang Institute of Microelectronics Tsinghua University

＜正＞power estimation for CMOS sequential circuits is difficult because of sequential feedback loops embedded in the *** paper presents a new method which combines the simulation method and probabilistic approach originally used in combinational circuits to complete power estimation of sequential circuits with improved accuracy and computation *** speed up is obtained by compacting the circuit before *** results show that our method is a good complement to existing estimation techniques.

关键词： power estimation Feedback Probabilistic Compact

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Distributed Photovoltaic Real-Time Output estimation Based on Graph Convolutional Networks

引用

Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 290-296页

作者：陈利跃洪道鉴何星卢东祁张乾谢妮娜徐一洲应煌浩 State Grid Zhejiang Electric power Co. Ltd.Hangzhou 310007China State Grid Zhejiang Taizhou power Supply Company Taizhou 318000ZhejiangChina Department of Automation School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

The rapid growth of distributed photovoltaic(PV)has remarkable influence for the safe and economic operation of power *** view of the wide geographical distribution and a large number of distributed PV power stations,the current situation is that it is dificult to access the current dispatch data *** to the temporal and spatial characteristics of distributed PV,a graph convolution algorithm based on adaptive learning of adjacency matrix is proposed to estimate the real-time output of distributed PV in regional power *** actual case study shows that the adaptive graph convolution model gives different adjacency matrixes for different PV stations,which makes the corresponding output estimation algorithm have higher accuracy.

关键词： distributed photovoltaic(PV) graph convolution network power estimation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

power Prediction of VLSI Circuits Using Machine Learning

引用

Computers, Materials & Continua 2023年第1期74卷 2161-2177页

作者： E.Poovannan S.Karthik Department of ECE College of Engineering and TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026TNIndia

The difference between circuit design stage and time requirements has broadened with the increasing complexity of the circuit.A big database is needed to undertake important analytical work like statistical method,heat research,and IR-drop research that results in extended running *** unit focuses on the assessment of test *** of the enormous number of successful designs for currentmodels and the unnecessary time required for every test,maximum energy ratings with all tests cannot be ***,test safety is important for producing trustworthy findings to avoid loss of output and harm to the ***,effective power assessment is only possible in a limited sample of pre-selected ***,a key objective is to find the experiments that might give the worst situations again for testing *** offers a machine-based circuit power estimation(MLCPE)system for the selection of *** distinct techniques of predicting are ***,to find testings with power dissipation,it forecasts the behavior of ***,the changemovement and energy data are linked to the semiconductor design,identifying small problem *** types of algorithms are *** particular,the methods *** findings show great accuracy and efficiency in *** enables such methods suitable for selecting the worst scenario.

关键词： power estimation Machine learning circuit simulation VLSI implementation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

An approach to predicting dynamic power dissipation of coupled interconnect network in dynamic CMOS logic circuits

引用

Science in China(Series F) 2002年第4期45卷 286-298页

作者：黄刚杨华中罗嵘汪蕙 Department of Electronic Engineering Tsinghua University Beijing 100084 China

In deep submicron (DSM) integrated circuits (IC), coupling capacitors between interconnects become dominant over grounded capacitors. As a result, the dynamic power dissipation of one node is no longer only in relation to the signal on that node, and it also depends on signals on its neighbor nodes through coupling capacitors. Thus, for their limitation in dealing with ca-pacitively coupled nets, past jobs on power estimation are facing rigorous challenges and need to be ameliorated. This paper proposes and proves a simple and fast approach to predicting dynamic power dissipation of coupled interconnect networks: a coupling capacitor in dynamic CMOS logic circuits is decoupled and mapped into an equivalent cell containing an XOR gate and a grounded capacitor, and the whole circuit after mapping, consuming the same power as the original one, could be easily managed by generally-used gate-level power estimation tools. This paper also investigates the correlation coefficient method (CCM). Given the signal probabilities and the correlation coefficients between signals, the dynamic power of interconnect networks can be calculated by using CCM. It can be proved that the decoupling method and CCM draw identical results, that is to say, the decoupling method implicitly preserves correlation properties between signals and there is no accuracy loss in the decoupling process. Moreover, it is addressed that the coupling capacitors in static CMOS circuits could be decoupled and mapped into an equivalent cell containing a more complicated logic block, and the power can be obtained by the probability method for dynamic CMOS logic circuits.

关键词： interconnect power estimation coupling capacitors correlation coefficient dynamic CMOS logic circuits signal probability.

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The monotonic increasing relationship between average powers of CMOS VLSI circuits with and without delay and its applications

引用

Science in China(Series F) 2002年第6期45卷 401-405页

作者：骆祖莹闵应骅杨士元李晓维 Department of Automation Tsinghua University Beijing 100084 China

The authors theoretically describe the monotonic increasing relationship between average powers of a CMOS VLSI circuit with and without delay. The power of an ideal circuit without delay, which can be fast computed, has been used as the evaluation criterion for the power of a practical circuit with delay, which needs more computing time, in such fields as fast estimation for the average power and the maximum power, and fast optimization for the low test power. The authors propose a novel simulation approach that uses delay-free power to compact a long input vector pair sequence into a short sequence and then, uses the compacted one to fast simulate the average (or maximum) power for a CMOS circuit. In comparison with the traditional simulation approach that uses an un-compacted input sequence to simulate the average (or maximum) power, experiment results demonstrate that in the field of fast estimation for the average power, the present approach can be 6-10 times faster without significant loss in accuracy (less than 3.5% on average), and in the field of fast estimation for the maximum power, this approach can be 6? times faster without significant loss in accuracy (less than 5% on average). In the field of fast optimization for the test power, the authors propose a novel delay-free power optimization approach for the test power. Experiment results demonstrate that, in comparison with the approach of direct optimization and the approach of Hamming distance optimization, this approach is of the highest optimization efficiency because it needs shorter time (16.84%) to obtain a better optimization effect (reducing 35.11% test power).

关键词： CMOS VLSI power estimation test power.

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data

引用

Journal of Signal and Information Processing 2016年第2期7卷 61-74页

作者： Azra Kapetanovic Redhwan Mawari Mohamed A. Zohdy Department of Electrical and Computer Engineering Oakland University Rochester MI USA

The lack of effective techniques for estimation of shadow power in fading mobile wireless communication channels motivated the use of Kalman Filtering as an effective alternative. In this paper, linear second-order state space Kalman Filtering is further investigated and tested for applicability. This is important to optimize estimates of received power signals to improve control of handoffs. Simulation models were used extensively in the initial stage of this research to validate the proposed theory. Recently, we managed to further confirm validation of the concept through experiments supported by data from real scenarios. Our results have shown that the linear second-order state space Kalman Filter (KF) can be more accurate in predicting local shadow power profiles than the first-order Kalman Filter, even in channels with imposed non-Gaussian measurement noise.

关键词： Kalman Filtering Rayleigh Gaussian Multipath Shadowing power estimation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Virtual Uniform Linear Iterative Adaptive Approach for Robust Adaptive Beamforming

Virtual Uniform Linear Iterative Adaptive Approach for Robus...

引用

第三十九届中国控制会议

作者： Zhen Meng Weidong Zhou College of Automation Harbin Engineering University

In this paper, we propose a virtual uniform linear iterative adaptive approach（VUL-IAA） method to design robust adaptive beamformer using coprime array. We enlarge the array aperture of coprime physical array by generating a longer virtual coarray. However, the data vector in the non-uniform virtual coarray appears as one snapshot. We propose the VUL-IAA method to directly process the one-snapshot data in the longest virtual uniform linear array（VULA）. By doing this, the operations of recovering the rank of the VULA covariance matrix and constructing its full-rank version are totally avoided. Moreover, the VUL-IAA method can estimate precise powers for incident signals, which can be used to reconstruct the interference covariance matrix and determine the steering vector of signal-of-interest. We compute the weight vector of the proposed beamformer based on the coprime physical array. Simulation results show that the proposed beamformer can mitigate typical mismatches.

关键词： Robust adaptive beamforming Virtual uniform linear Iterative adaptive approach power estimation

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：