Int. J. Comput. Aided Eng. Technol.最新文献_第2页

An approach for infrared image pedestrian classification based on local directional pixel structure elements' descriptor 基于局部方向像素结构元素描述符的红外图像行人分类方法

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-05-07 DOI: 10.1504/ijcaet.2020.10029295

Rajkumar Soundrapandiyan

{"title":"An approach for infrared image pedestrian classification based on local directional pixel structure elements' descriptor","authors":"Rajkumar Soundrapandiyan","doi":"10.1504/ijcaet.2020.10029295","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10029295","url":null,"abstract":"Pedestrian classification is a major problem in infrared (IR) images due to lack of shape, low signal-to-noise ratio and complex background. And it find applications in agriculture, forestry, night vision monitoring system, intelligence system and defence system. In this paper, local directional pixel structure elements descriptor (LDPSED)-based pedestrian classification approach is proposed to overcome these problems. In addition, for segment the objects (pedestrian and non-pedestrian) from an IR image interest point detection approach is proposed. The proposed method consists of three steps segmentation, feature extraction and classification. Firstly, objects are segmented from the input image. Secondly, the feature extraction is carried out on the segmented objects. Finally, support vector machine (SVM) is implemented for classification of objects in IR image into pedestrian and non-pedestrian. To prove the effectiveness of the proposed approach, we have conducted experimental test on the standard OTCBVS-BENCH-thermal collection over the OSU thermal pedestrian database. In addition, the classification results of the proposed approach are compared with the existing approaches. The efficiency of the proposed approach is proven by high classification accuracy.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132264205","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

Incipient knowledge in protein folding kinetics states prophecy using deep neural network-based ensemble classifier 基于深度神经网络的集成分类器在蛋白质折叠动力学状态预测中的初步研究

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-05-07 DOI: 10.1504/ijcaet.2020.10029311

M. Anbarasi, M. Durai

引用次数: 0

An efficient image system-based grey wolf optimiser method for multimedia image security using reduced entropy-based 3D chaotic map 一种有效的基于图像系统的灰狼优化方法，利用基于约熵的三维混沌映射实现多媒体图像安全

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-05-07 DOI: 10.1504/ijcaet.2020.10029297

Srinivas Koppu, V. M. Viswanatham

引用次数: 0

Type-specific classification of bronchogenic carcinomas using bi-layer mutated particle swarm optimisation 利用双层突变粒子群优化技术对支气管源性癌进行类型特异性分类

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-05-07 DOI: 10.1504/ijcaet.2020.10029313

P. Balamurugan, A. M. Viswabharathi, Marimuthu Karuppiah, Niranchana Radhakrishnan

{"title":"Type-specific classification of bronchogenic carcinomas using bi-layer mutated particle swarm optimisation","authors":"P. Balamurugan, A. M. Viswabharathi, Marimuthu Karuppiah, Niranchana Radhakrishnan","doi":"10.1504/ijcaet.2020.10029313","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10029313","url":null,"abstract":"The cancer disease is posing a big challenge in the field of pathological diagnosis. The feature selection of cells is highly important in isolating the affected cells. The classification of cancer cells is gaining importance among clinical researchers. Gene expression profile (GEP) is used in better classifying genes in a cell or tissue. Gene expression data (GED) differs for every gene from which cell or tissue it is originated. Based on the GED the cancer cells can be classified into seven categories from which cell or tissue it was born. The infected cells can be graded from level one to four based on its growth and difference from other unaffected cells. Many techniques have been developed in the past for classifying cancer affected genes. In this paper we propose a modified classification algorithm bi-layer mutated particle swarm optimisation (BLMPSO). The microarray dataset used for testing the method is Affymetrix Human Genome U95Av2 Array. The simulation results showed that the proposed technique performs better in terms of classification based on GED than the other existing methods.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"2498 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131225307","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

PID controller tuning using hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation 采用基于Box进化优化和基于教师-学习者优化的混合优化技术对PID控制器进行整定

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-04-30 DOI: 10.1504/ijcaet.2020.10029108

Vinay Pratap Singh, N. Patnana, S. P. Singh

引用次数: 3

Hybrid data model of PACE and quadruple: an efficient data model for cloud computing PACE和fourple混合数据模型:一种高效的云计算数据模型

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-04-30 DOI: 10.1504/ijcaet.2020.10029102

A. Kanmani, V. Suma, N. Guruprasad

引用次数: 1

Double-pulse stand-off explosive vapour detection system for flexible perilous materials 柔性危险材料双脉冲隔爆蒸汽探测系统

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-04-30 DOI: 10.1504/IJCAET.2020.10022740

M. Muthukumaresan, S. Sakthivel

引用次数: 0

Deep learning-based techniques to enhance the precision of phrase-based statistical machine translation system for Indian languages 基于深度学习技术提高基于短语的印度语言统计机器翻译系统的精度

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-04-30 DOI: 10.1504/ijcaet.2020.10029101

Kritik Soman, J. P. Sanjanasri, M. A. Kumar

引用次数: 5

A new parallel DSP hardware compatible algorithm for noise reduction and contrast enhancement in video sequence using Zynq-7020 基于Zynq-7020的视频序列降噪和对比度增强并行DSP硬件兼容算法

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-04-30 DOI: 10.1504/ijcaet.2020.10029058

M. Shivaraju, Suresh Krishnappa

{"title":"A new parallel DSP hardware compatible algorithm for noise reduction and contrast enhancement in video sequence using Zynq-7020","authors":"M. Shivaraju, Suresh Krishnappa","doi":"10.1504/ijcaet.2020.10029058","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10029058","url":null,"abstract":"Various video processing applications such as liquid crystal display processing, high quality video photography, terrestrial video recording and medical imaging systems requires robust noise reduction and contrast enhancement technique which provides visually pleasing for real time implementation novel hardware architecture has been designed using look-up-table (LUT) acceleration approach which helps achieve high speed processing. Until now, a lot of researchers have worked on noise removal and contrast enhancement of digital videos, but the developed algorithms works with only some verity of noises and failed to produce desirable results for various types of distortions and real time implementation is still remaining a challenge. Hence, appropriate filter needs to be designed which address both kinds of errors. In this paper, adaptive trilateral filter has been designed for noise reduction the results are measured using qualitative and quantitative analysis which has aided in better utilisation of hardware for real time implementation. The experimental results show that the proposed algorithm provides a frame rate of 40 fps on an average and has a resolution of 720 × 576. The proposed algorithm was implemented on ZedBoard Znyq-7020 development kit by Xilinx.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130697046","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: 5

Hybrid wind-solar system - an optimised approach for efficient power generation 混合风能-太阳能系统-高效发电的优化方法

Int. J. Comput. Aided Eng. Technol. Pub Date : 2020-04-30 DOI: 10.1504/ijcaet.2020.10029104

S. Ravikumar, H. Vennila

引用次数: 1