检索结果-南通市图书馆

A comparative evaluation of Stacked Auto-Encoder neural network and Multi-Layer Extreme Learning Machine for detection and classification of faults in transmission lines using WAMS data

引用

Energy and AI 2023年第4期14卷 598-611页

作者： Ani Harish Prince Asok jayan M.v. APJ Abdul Kalam Technological University Rajiv Gandhi Institute of TechnologyKottayam686501KeralaIndia APJ Abdul Kalam Technological University CET CampusThiruvananthapuram695016KeralaIndia

Smart grid is envisaged as a power grid that is extremely reliable and *** electrical grid has wide-area measuring devices like Phasor measurement units(PMUs)deployed to provide real-time grid information and resolve issues effectively and speedily without compromising system *** development and application of machine learning approaches for power system protection and state estimation have been facilitated by the availability of measurement *** research proposes a transmission line fault detection and classification(FD&C)system based on an auto-encoder neural network.A comparison between a Multi-Layer Extreme Learning Machine(ML-ELM)network model and a Stacked Auto-Encoder neural network(SAE)is ***,the performance of the models developed is compared to that of state-of-the-art classifier models employing feature datasets acquired by wavelet transform based feature extraction as well as other deep learning *** substantially shorter testing time,the suggested auto-encoder models detect faults with 100% accuracy and classify faults with 99.92% and 99.79%*** computational efficiency of the ML-ELM model is demonstrated with high accuracy of classification with training time and testing time less than 50 *** emulate real system scenarios the models are developed with datasets with noise with signal-to-noise-ratio(SNR)ranging from 10 dB to 40 *** efficacy of the models is demonstrated with data from the IEEE 39 bus test system.

关键词： Machine learning Fault detection Fault classification Auto-Encoder Transmission line Smart grid Neural network Extreme Learning Machine

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

2D Ti_(3)C_(2)T_(x)MXene-derived self-assembled 3D TiO_(2)nanoflowers for nonvolatile memory and synaptic learning applications

引用

Journal of Materials Science & Technology 2023年第19期150卷 1-10页

作者： Atul C.Khot Tukaram D.Dongale Kiran A.Nirmal jayan K.Deepthi Santosh S.Sutar Tae Geun Kim School of Electrical Engineering Korea UniversityAnam-ro 145Seongbuk-guSeoul 02841Republic of Korea Computational Electronics and Nanoscience Research Laboratory School of Nanoscience and BiotechnologyShivaji UniversityKolhapur 416004India Rajagiri School of Engineering and Technology(Autonomous) Rajagiri ValleyKakkanadKochiKerala 682039India Yashwantrao Chavan School of Rural Development Shivaji UniversityKolhapur 416004India

Two-dimensional(2D)semiconducting materials and transition-metal oxides are promising materials for nonvolatile memory and brain-inspired neuromorphic computing ***,it remains chal-lenging to obtain high-quality stacked 2D films with low energy consumptions(or drive currents)be-cause of their high interfacial *** this study,we synthesized 2D Ti_(3)C_(2)T_(x)MXene-derived three-dimensional(3D)TiO_(2)nanoflowers(NFs)as a feasible resistive switching(RS)material with outstanding electronic properties and synaptic learning *** electrical and optical characteristics of the synthesized material were determined through density functional theory *** measure-ments of the Al/Ti_(3)C_(2)T_(x)-TiO_(2)NF/Pt memory device indicated the occurrence of forming-free switching phenomena with extremely low switching voltages(0.68-0.53 v),stable ON/OFF ratio(2.3×103),and retention greater than 105 *** Holt-Winters exponential smoothing technique was used for mod-eling and predicting the switching voltages of the RS *** mechanism underlying the reliable RS was confirmed by observing the dense conductive filaments through conductive atomic force ***,the 2D Ti_(3)C_(2)T_(x)MXene-derived 3D TiO_(2)NF-based RS device mimicked the po-tentiation/depression and spike-time-dependent plasticity of a biological ***,a convolutional neural network was implemented based on the observed synaptic weights of Al/Ti_(3)C_(2)T_(x)-TiO_(2)NF/Pt for image-edge detection.

关键词： MXene Ti_(3)C_(2)T_(x)-TiO_(2)nanoflowers Resistive switching Synaptic learning Density functional theory Time-series analysis

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

variability, heritability and genetic advance in mulberry (<i>Morus</i>spp.) for growth and yield attributes

引用

Agricultural Sciences 2012年第2期3卷 208-213页

作者： Subramaniam Gandhi Doss Shyama Prasad Chakraborti Sukhen Roychowdhuri Nirvan Kumar Das kunjupillai v.jayan Partha Dev Ghosh Mala v. Rajan Syed Mashayak Hussaini Qadri Central Sericultural Research and Training Institute Berhampore India Central Sericultural Research and Training Institute Mysore India Central Silk Board BTM Layout Bangalore India Department of Botany University of Kalyani Kalyani India Research Extension Center Nabagram India

Genetic improvement of crop plants is brought about by manipulating the genetic makeup through systematic breeding techniques or by employing modern biotechnological tools. Application of systematic breeding technique to a large extent is decided by the knowledge on the genetic control of the traits. Keeping this in view, nine mulberry genotypes were evaluated for different growth and yield attributing traits viz., number of tillers (NT), plant height (PH), total shoot length (TSL), nodal distance (ND), leaf fall % (LF), number of leaves/plant (NLP), weight of 100 fresh leaves (WFL), weight of 100 dry leaves (WDL), single leaf area (LA), leaf area index (LAI), aboveground biomass (AGB), leaf harvest index (LHI) and leaf yield (LY) and estimated the magnitude of genotypic and phenotypic variation, heritability, genetic advance and correlation coefficients. The broad sense heritability for these traits ranged from 63.942 (WFL) to 13.261 (PH). High heritability coupled with high genetic advance was recorded for the characters WFL, LF, LA, WDL and LY suggesting the higher genetic control over these traits. Leaf yield showed significantly positive phenotypic and genotypic correlations with all other growth traits except PH and LF. Leaf fall had significant negative correlations with all the highly heritable yield attributes viz., ND (-0.379), WDL (-0.225), LA (-0.346), LAI (-0.233) at 1% level and AGB (-0.148), LHI (-0.122) and LY (-0.146) at 5% level. Likewise, it showed positive correlations with TSL (0.558), NLP (0.264) and PH (0.221). Since mulberry is mainly cultivated for leaf yield, genotypes having higher WFL, LA, WDL and LY and less LF must be given importance during parent selection to evolve high yielding varieties with less leaf fall across different seasons in mulberry.

关键词： variability Heritability Genetic Advance Yield Attributes Low Leaf Senescence

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

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

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

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：