Computer-Aided Developments: Electronics and Communication最新文献

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A distinct carry celect adder design approach for area and delay reduction using modified full adder 一种独特的进位选择加法器设计方法,使用改进的全加法器来减小面积和延迟
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-1
K. B. Sindhuri, G. S. C. Teja, K. Madhusudhan, N. Kumar
{"title":"A distinct carry celect adder design approach for area and delay reduction using modified full adder","authors":"K. B. Sindhuri, G. S. C. Teja, K. Madhusudhan, N. Kumar","doi":"10.1201/9780429340710-1","DOIUrl":"https://doi.org/10.1201/9780429340710-1","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129989083","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
VLSI Architecture of DNN neuron for face recognition 用于人脸识别的DNN神经元VLSI结构
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-6
K. Sai, Plabini Jibanjyoti Nayak, S. Yallamandaiah
{"title":"VLSI Architecture of DNN neuron for face recognition","authors":"K. Sai, Plabini Jibanjyoti Nayak, S. Yallamandaiah","doi":"10.1201/9780429340710-6","DOIUrl":"https://doi.org/10.1201/9780429340710-6","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133887732","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
Sound classification and localization in service robots with attention mechanisms 基于注意机制的服务机器人声音分类与定位
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-9
Matteo Bodini
{"title":"Sound classification and localization in service robots with attention mechanisms","authors":"Matteo Bodini","doi":"10.1201/9780429340710-9","DOIUrl":"https://doi.org/10.1201/9780429340710-9","url":null,"abstract":"Human-machine interaction is calling for a sophisticated understanding of subjects’ behavior performed by smartphones, home automation and entertainment devices, and many service robots. During an interaction with human beings in their environment, a service robot has to be capable to perceive and process visual and sound information of the scene that he observes. To capture salient elements in such different signals many semi-supervised deep learning methods have been proposed. In this article, it is proposed a new convolutional neural network, endowed with a mechanism of attention in order not only to classify, but also to localize temporally a sound event, and in a semi-supervised way.","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129340835","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: 3
Gate diffusion input (Gdi) technique based CAM cell design for low power and high performance 基于栅极扩散输入(Gdi)技术的低功耗高性能CAM单元设计
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-34
S. V. V. Satyanarayana, Sridevi Sriadibhatla, N. Amarnath
{"title":"Gate diffusion input (Gdi) technique based CAM cell design for low power and high performance","authors":"S. V. V. Satyanarayana, Sridevi Sriadibhatla, N. Amarnath","doi":"10.1201/9780429340710-34","DOIUrl":"https://doi.org/10.1201/9780429340710-34","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436321","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
Comparative study and an improved algorithm for iris and eye corner detection in real time application 虹膜与眼角实时检测的比较研究与改进算法
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-11
P. Illavarason, Renjith J Arokia, P. M. Kumar
{"title":"Comparative study and an improved algorithm for iris and eye corner detection in real time application","authors":"P. Illavarason, Renjith J Arokia, P. M. Kumar","doi":"10.1201/9780429340710-11","DOIUrl":"https://doi.org/10.1201/9780429340710-11","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128575014","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: 4
Eigenface recognition using PCA 基于PCA的特征人脸识别
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-8
K. Anitha, V. Susmitha, M. Rao
{"title":"Eigenface recognition using PCA","authors":"K. Anitha, V. Susmitha, M. Rao","doi":"10.1201/9780429340710-8","DOIUrl":"https://doi.org/10.1201/9780429340710-8","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116697683","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
Simulation of GaN MOS-HEMT based bio-sensor for breast cancer detection 基于GaN MOS-HEMT的乳腺癌检测生物传感器仿真研究
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-31
Rohit Bhargav Peesa, Pydimarri Manoj Kumar, D. Panda
{"title":"Simulation of GaN MOS-HEMT based bio-sensor for breast cancer detection","authors":"Rohit Bhargav Peesa, Pydimarri Manoj Kumar, D. Panda","doi":"10.1201/9780429340710-31","DOIUrl":"https://doi.org/10.1201/9780429340710-31","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123748797","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
Internet of things for wildfire disasters 野火灾害的物联网
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-15
G. Rao, P. J. Rao, Rajesh Duvvuru, K. Beulah, Venkateswarlu Sunkari
{"title":"Internet of things for wildfire disasters","authors":"G. Rao, P. J. Rao, Rajesh Duvvuru, K. Beulah, Venkateswarlu Sunkari","doi":"10.1201/9780429340710-15","DOIUrl":"https://doi.org/10.1201/9780429340710-15","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132124889","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
Frequency domain speech bandwidth extension 频域语音带宽扩展
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-21
N. K. Prasad, P. A. Kumar
{"title":"Frequency domain speech bandwidth extension","authors":"N. K. Prasad, P. A. Kumar","doi":"10.1201/9780429340710-21","DOIUrl":"https://doi.org/10.1201/9780429340710-21","url":null,"abstract":"","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131505765","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
Probabilistic nonlinear dimensionality reduction through gaussian process latent variable models: An overview 通过高斯过程潜在变量模型的概率非线性降维:概述
Computer-Aided Developments: Electronics and Communication Pub Date : 2019-09-30 DOI: 10.1201/9780429340710-10
Matteo Bodini
{"title":"Probabilistic nonlinear dimensionality reduction through gaussian process latent variable models: An overview","authors":"Matteo Bodini","doi":"10.1201/9780429340710-10","DOIUrl":"https://doi.org/10.1201/9780429340710-10","url":null,"abstract":"From an algorithmic complexity point of view, machine learning methods scale and generalize better when using a few key features: using lots is computationally expensive, and overfitting can occur. High dimensional data is often counterintuitive to perceive and process, but unfortunately it is common for observed data to be in a representation of greater dimensionality than it requires. This gives rise to the notion of dimensionality reduction, a sub-field of machine learning that is motivated to find a descriptive low-dimensional representation of data. In this review it is explored a way to perform dimensionality reduction, provided by a class of Latent Variable Models (LVMs). In particular, the aim is to establish the technical foundations required for understanding the Gaussian Process Latent Variable Model (GP-LVM), a probabilistic nonlinear dimensionality reduction model. The review is organized as follows: after an introduction to the problem of dimensionality reduction and LVMs, Principal Component Analysis (PCA) is recalled and it is reviewed its probabilistic equivalent that contributes to the derivation of GP-LVM. Then, GP-LVM is introduced, and briefly a remarkable extension of the latter, the Bayesian Gaussian Process Latent Variable Model (BGP-LVM) is described. Eventually, and the main advantages of using GP-LVM are summarized.","PeriodicalId":231525,"journal":{"name":"Computer-Aided Developments: Electronics and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115687891","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: 3
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