2014 8th Asia Modelling Symposium最新文献

筛选
英文 中文
Nonlinear Model-Predictive Control Based on Quasi-ARX Radial-Basis Function-Neural-Network 基于准arx径向基函数神经网络的非线性模型预测控制
2014 8th Asia Modelling Symposium Pub Date : 2014-09-23 DOI: 10.1109/AMS.2014.30
I. Sutrisno, Mohammad Abu Jami'in, Jinglu Hu, M. Marhaban, N. Mariun
{"title":"Nonlinear Model-Predictive Control Based on Quasi-ARX Radial-Basis Function-Neural-Network","authors":"I. Sutrisno, Mohammad Abu Jami'in, Jinglu Hu, M. Marhaban, N. Mariun","doi":"10.1109/AMS.2014.30","DOIUrl":"https://doi.org/10.1109/AMS.2014.30","url":null,"abstract":"A nonlinear model-predictive control (NMPC) is demonstrated for nonlinear systems using an improved fuzzy switching law. The proposed moving average filter fuzzy switching law (MAFFSL) is composed of a quasi-ARX radial basis function neural network (RBFNN) prediction model and a fuzzy switching law. An adaptive controller is designed based on a NMPC. a MAFFSL is constructed based on the system switching criterion function which is better than the (ON/OFF) switching law and a RBFNN is used to replace the neural network (NN) in the quasi-ARX black box model which is understood in terms of parameters and is not an absolute black box model, in comparison with NN. The proposed controller performance is verified through numerical simulations to demonstrate the effectiveness of the proposed method.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121342755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Two-Dimensional Subthreshold Current Model of Recessed-Source/Drain (Re-S/D) SOI MOSFETs with High-k Dielectric 高介电常数SOI埋源漏极mosfet的二维亚阈值电流模型
2014 8th Asia Modelling Symposium Pub Date : 2014-09-23 DOI: 10.1109/AMS.2014.58
G. Saramekala, P. Tiwari
{"title":"A Two-Dimensional Subthreshold Current Model of Recessed-Source/Drain (Re-S/D) SOI MOSFETs with High-k Dielectric","authors":"G. Saramekala, P. Tiwari","doi":"10.1109/AMS.2014.58","DOIUrl":"https://doi.org/10.1109/AMS.2014.58","url":null,"abstract":"An analytical surface-potential based sub threshold current model for short-channel recessed-source/ drain (Re-S/D) SOI MOSFETs with high-k dielectric is presented in this paper. The two-dimensional (2D) Poisson's equation has been solved in the channel region with suitable boundary conditions in order to determine the surface potential. The diffusion component of current density is considered for the sub threshold current modeling. The impact of EOT (Effective Oxide Thickness) (t'ox), channel Length (L), gate-dielectric constant (ε'ox) on sub threshold current has been investigated. The proposed model has been validated by comparing the analytical results with numerical simulation data obtained from ATLASTM, a two dimensional device simulator from SILVACO.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"31 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114025317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
New Distributed Approach for an Autonomous Dynamic Management of Interdependent Virtual Machines 相互依赖虚拟机自主动态管理的分布式新方法
2014 8th Asia Modelling Symposium Pub Date : 2014-09-10 DOI: 10.1109/NBiS.2014.38
Salah-Eddine Benbrahim, A. Quintero, Martine Bellaïche
{"title":"New Distributed Approach for an Autonomous Dynamic Management of Interdependent Virtual Machines","authors":"Salah-Eddine Benbrahim, A. Quintero, Martine Bellaïche","doi":"10.1109/NBiS.2014.38","DOIUrl":"https://doi.org/10.1109/NBiS.2014.38","url":null,"abstract":"This paper, based on the paper [1], presents and develops a mathematical model for a dynamic allocation of virtual distributed resources in a data center using several criteria. This dynamic allocation of resource hosting interdependent applications reduces the response time of distributed applications and their under-utilization. The main contribution of this research is the use of a distributed architecture to manage the movements of interdependent virtual machines which is an interesting solution regarding its scalability, feasibility and flexibility. The results of this paper proposed model show that it is possible to reduce the VM migrations needed to a network load balancing.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128302654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remote Sensing of Snow Wrap Using Clustering and Wavelet Transform 基于聚类和小波变换的积雪遥感研究
2014 8th Asia Modelling Symposium Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887822
Narasimha Prasad Lakkakula, K. K. Reddy, M. Raja
{"title":"Remote Sensing of Snow Wrap Using Clustering and Wavelet Transform","authors":"Narasimha Prasad Lakkakula, K. K. Reddy, M. Raja","doi":"10.1109/ICHCI-IEEE.2013.6887822","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887822","url":null,"abstract":"Weather forecasting is an alarming challenge in the field of geo-sciences as it depends on several parameters which are dynamic and chaotic. Continuous changes in precipitation distribution are complicated, being effected by meteorological and geographical factors. The major forms of precipitation are rain, snow and hails which depends on atmospheric parameters and climatic conditions, in which snow is a significant component of the earth's hydrological cycle and a crucial factor of global and regional energy balance. In many areas of the world, snowmelt is of great importance for water supply of agricultural irrigation and people's daily life. Snow water equivalent, snow extent and melt onset are important parameters for climate models and hydrological models which are widely used in climate forecasting, flood controlling and irrigation management. Till date, snowstorms were measured using traditional radar based data, which face major problems such as attenuation issues with strong echoes, as their signals are weak enough. Hence, satellite images are one of the proficient sources in the identification of snow. In the process of image acquisition from the satellite imagery it would often find barriers like noise, burrs and so on, obscure or even cover the original image of an area or can reduce the image quality which include lot of noise. Therefore, in the present research Haar wavelet transform is adopted to enhance the image or to eliminate striping noise. Differentiation between rain and snow depends on the square root balance sparsity norm threshold value obtained on compressing and denoising the satellite image. The proposed model yields an average accuracy of 83.07% in the identification of snow.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123149570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信