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A big data and cloud computing model architecture for a multi-class travel demand estimation through traffic measures: a real case application in Italy 基于交通测度的多级出行需求估算的大数据和云计算模型架构:意大利的真实案例应用
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.133672
Armando Cartenì, Ilaria Henke, Assunta Errico, Maria Ida Di Bartolomeo
{"title":"A big data and cloud computing model architecture for a multi-class travel demand estimation through traffic measures: a real case application in Italy","authors":"Armando Cartenì, Ilaria Henke, Assunta Errico, Maria Ida Di Bartolomeo","doi":"10.1504/ijcse.2023.133672","DOIUrl":"https://doi.org/10.1504/ijcse.2023.133672","url":null,"abstract":"The big data and cloud computing are an extraordinary opportunity to implement multipurpose smart applications for the management and the control of transport systems. The aim of the paper was to propose a big data and cloud computing model architecture for a multi-class origin-destination demand estimation based on the application of a bi-level transport algorithm using traffic counts on congested network, also for proposing sustainable policies at urban scale. The proposed methodology has been applied to a real case study in terms of travel demand estimation within the city of Naples (Italy), also aiming to verify the effectiveness of a sustainable policy in terms of reducing traffic congestion of about 20% through en-route travel information. The obtained results, although preliminary, suggest the usefulness of the proposed methodology in terms of ability in real-time/pre-fixed time periods traffic demand estimation.","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844463","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
High-volume transaction processing in Bitcoin Lightning Network on blockchains 基于区块链的比特币闪电网络的大容量交易处理
IF 2
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10057255
S. Bhalla, Y. Watanobe, Divij G. Singh, Rashmi P. Sarode
{"title":"High-volume transaction processing in Bitcoin Lightning Network on blockchains","authors":"S. Bhalla, Y. Watanobe, Divij G. Singh, Rashmi P. Sarode","doi":"10.1504/ijcse.2023.10057255","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10057255","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"10 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81046154","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
SLIC-SSA: an image segmentation method based on superpixel and sparrow search algorithm SLIC-SSA:基于超像素和麻雀搜索算法的图像分割方法
IF 2
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10053888
Hao Li, H. Wen, Jia Li, Lijun Xiao
{"title":"SLIC-SSA: an image segmentation method based on superpixel and sparrow search algorithm","authors":"Hao Li, H. Wen, Jia Li, Lijun Xiao","doi":"10.1504/ijcse.2023.10053888","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10053888","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"115 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77929770","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
Detection of computationally-intensive functions in a medical image segmentation algorithm based on an active contour model 基于活动轮廓模型的医学图像分割算法中计算密集型函数的检测
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.133682
Carlos A.S.J. Gulo, Antonio C. Sementille, N.A. Jo�ã, o Manuel R.S. Tavares
{"title":"Detection of computationally-intensive functions in a medical image segmentation algorithm based on an active contour model","authors":"Carlos A.S.J. Gulo, Antonio C. Sementille, N.A. Jo�ã, o Manuel R.S. Tavares","doi":"10.1504/ijcse.2023.133682","DOIUrl":"https://doi.org/10.1504/ijcse.2023.133682","url":null,"abstract":"Image segmentation is one of the most critical operations performed on medical images. These operations require developing optimisation strategies to reduce runtime. Profiling methods can assess algorithm's performance concerning the overall cost of runtime, memory access, and performance bottlenecks. Therefore, we propose an approach for detecting computationally intensive functions in a competent medical image segmentation algorithm based on an active contour model. Our approach applies performance analysis tools commonly available in traditional computer operating systems, requiring no new setup or developing new performance-measuring techniques. The overall cost of execution time, memory accesses, and performance bottlenecks are measured in execution time. In conclusion, a call graph visualisation can suggest to users a quick graphical overview of the execution time of their codes and, therefore, guarantee the shortest possible learning curve by the community of researchers from medical image processing and analysis.","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844472","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
Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images 基于超声影像SONN和MLP-GA的肾脏疾病分类
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.133679
Anuradha Laishram, Khelchandra Thongam
{"title":"Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images","authors":"Anuradha Laishram, Khelchandra Thongam","doi":"10.1504/ijcse.2023.133679","DOIUrl":"https://doi.org/10.1504/ijcse.2023.133679","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844976","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
An investigation of CNN-LSTM music recognition algorithm in ethnic vocal technique singing 民族声乐技术演唱中CNN-LSTM音乐识别算法的研究
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10059161
Fang Dong
{"title":"An investigation of CNN-LSTM music recognition algorithm in ethnic vocal technique singing","authors":"Fang Dong","doi":"10.1504/ijcse.2023.10059161","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10059161","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496927","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
An improved continuous and discrete Harris Hawks optimiser applied to feature selection for image steganalysis 一种改进的连续和离散哈里斯鹰优化器应用于图像隐写分析的特征选择
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10060447
Ankita Gupta, Rita Chhikara, Prabha Sharma
{"title":"An improved continuous and discrete Harris Hawks optimiser applied to feature selection for image steganalysis","authors":"Ankita Gupta, Rita Chhikara, Prabha Sharma","doi":"10.1504/ijcse.2023.10060447","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10060447","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135706144","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
Digital twin-based fault detection for intelligent power production lines 基于数字孪生的智能电力生产线故障检测
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10060218
Xuefeng Qian, You Zhou, Dan Xu, Can Zhao, Kejun Qian
{"title":"Digital twin-based fault detection for intelligent power production lines","authors":"Xuefeng Qian, You Zhou, Dan Xu, Can Zhao, Kejun Qian","doi":"10.1504/ijcse.2023.10060218","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10060218","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134891159","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
Classification of hyperspectral images by using a lightweight cascaded deep convolutional network 基于轻量级级联深度卷积网络的高光谱图像分类
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10059162
Hemant Patidar, Sandhya Shinde
{"title":"Classification of hyperspectral images by using a lightweight cascaded deep convolutional network","authors":"Hemant Patidar, Sandhya Shinde","doi":"10.1504/ijcse.2023.10059162","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10059162","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496707","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
Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images 基于超声影像SONN和MLP-GA的肾脏疾病分类
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10059384
Anuradha Laishram, Khelchandra Thongam
{"title":"Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images","authors":"Anuradha Laishram, Khelchandra Thongam","doi":"10.1504/ijcse.2023.10059384","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10059384","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749596","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
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