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International Journal of Innovative Research in Applied Sciences and Engineering最新文献

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Robonaut 2: About New Legs and Technologies 机器人2:关于新的腿和技术
Pub Date : 2018-09-01 DOI: 10.29027/ijirase.v2.i3.2018.292-294
V. Dhivya, S. Divagar, J. Bharath
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引用次数: 0
CLOUD Profit or Loss : Google as Case 云盈亏:谷歌为例
Pub Date : 2018-09-01 DOI: 10.29027/ijirase.v2.i3.2018.279-282
Rana M. Faek, AfraaSayahAlshammari, KusumYadav, EbtisamA. Hamed
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引用次数: 0
Indiа’s Swаchh Bhаrаt Mission: А review of its Mаjor Initiаtives аnd Implementаtion Outcomes 印度的可持续发展目标:А审查其主要举措和实施成果
Pub Date : 2018-08-01 DOI: 10.29027/ijirase.v2.i12.2019.376-385
Revаthi Cs, Rosy Mаthews, Vishwаnаthаn Pk
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引用次数: 0
Design and Analysis of Ring Resonator Based Optical Delay Line 基于环形谐振器的光延迟线设计与分析
Pub Date : 2018-08-01 DOI: 10.29027/ijirase.v2.i12.2019.394-397
Tejaswini B R, Chandrika T N
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引用次数: 0
Analysis of Optofluidic Ring-Resonator for Bio-sensing Application 光流体环形谐振器在生物传感中的应用分析
Pub Date : 2018-08-01 DOI: 10.29027/ijirase.v2.i12.2019.408-411
SuhasKamuni, Anishka Divakaran, M AdarshM, Swekrithi Shetty, Shwetha MSai
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引用次数: 0
An Automatic Colour Sensor based Urine Analysis Device to Detect CKD for Mass Screening Application 基于自动颜色传感器的尿液分析装置检测CKD用于大规模筛查应用
Pub Date : 2018-08-01 DOI: 10.29027/ijirase.v2.i12.2019.398-401
N. Thomas, S. Katti, Sumir R M, Lakshmi Priyanka, P. Umesh
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引用次数: 0
A review: Analysis of fractional order chaotic systems 分数阶混沌系统的分析
Pub Date : 2018-08-01 DOI: 10.29027/ijirase.v2.i12.2019.386-393
Niyojeet Shrirao, Alpana Pandey, Ramji Gupta
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引用次数: 2
Bio Metric TB Notification System Interfaced with IOT 生物计量结核病通知系统与物联网接口
Pub Date : 2018-07-01 DOI: 10.29027/ijirase.v2.i1.2018.256-259
S. Kanagamalliga
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引用次数: 0
Investigation of Feature Extraction Methods for Image Retrieval Application 图像检索中特征提取方法的研究
Pub Date : 2018-06-01 DOI: 10.29027/ijirase.v1.i12.2018.228-232
Busetti SaiHarsha, Shamruthaa T R, H. Pa, Priscilla ShaminR, Thusnavis Bella Mary I
Content-based image retrieval is a technique used for retrieval of desired images via their colour, texture, and shape features. Features play a major role in an image. The major challenge in image retrieval lies in extracting the optimal features from an image. Feature extraction is a process of selecting optimal low level feature subsets. It t ransforms the input image into a set of features that describes the image with sufficient accuracy. In this paper, three specialized features i.e. colour moments, Region properties and Grey Level Co-Occurrence Matrix (GLCM) are extracted. This Image retrieval system using the hybrid features are tested using Corel image datasets consisting of 1000 images from 10 semantic categories. The efficiency of the system is evaluated in terms of precision, recall and error rate. From the experimental results, we can conclude that these hybrid features have improved the precision of the retrieval system when compared with other state-of-the-art methods.
基于内容的图像检索是一种通过图像的颜色、纹理和形状特征来检索所需图像的技术。特征在图像中起着重要的作用。图像检索的主要挑战在于从图像中提取最优特征。特征提取是一个选择最优低级特征子集的过程。它将输入图像转换成一组特征,以足够的精度描述图像。本文提取了颜色矩、区域属性和灰度共生矩阵(GLCM)三个特征。使用Corel图像数据集对使用混合特征的图像检索系统进行了测试,该数据集由来自10个语义类别的1000张图像组成。从准确率、查全率和错误率三个方面对系统的效率进行了评价。从实验结果可以看出,与其他最先进的方法相比,这些混合特征提高了检索系统的精度。
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引用次数: 0
Doctor Controllable Artificial Pancreas System 医生可控人工胰腺系统
Pub Date : 2018-06-01 DOI: 10.29027/ijirase.v1.i12.2018.237-240
Arivan R.V, S. Harishkumar, A. Subhashini
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引用次数: 0
期刊
International Journal of Innovative Research in Applied Sciences and Engineering
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