Journal of Supercomputing最新文献_第6页

Machine learning-based models for the qualitative classification of potassium ferrocyanide using electrochemical methods. 使用电化学方法对亚铁氰化钾进行定性分类的基于机器学习的模型。

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2023-01-01 Epub Date: 2023-03-13 DOI: 10.1007/s11227-023-05137-y

Devrim Kayali, Nemah Abu Shama, Suleyman Asir, Kamil Dimililer

{"title":"Machine learning-based models for the qualitative classification of potassium ferrocyanide using electrochemical methods.","authors":"Devrim Kayali, Nemah Abu Shama, Suleyman Asir, Kamil Dimililer","doi":"10.1007/s11227-023-05137-y","DOIUrl":"10.1007/s11227-023-05137-y","url":null,"abstract":"Iron is one of the trace elements that plays a vital role in the human immune system, especially against variants of SARS-CoV-2 virus. Electrochemical methods are convenient for the detection due to the simplicity of instrumentation available for different analyses. The square wave voltammetry (SQWV) and differential pulse voltammetry (DPV) are useful electrochemical voltammetric techniques for diverse types of compounds such as heavy metals. The basic reason is the increased sensitivity by lowering the capacitive current. In this study, machine learning models were improved to classify concentrations of an analyte depending on the voltammograms obtained alone. SQWV and DPV were used to quantify the concentrations of ferrous ions (Fe<math><msup><mrow></mrow><mrow><mo>+</mo><mn>2</mn></mrow></msup></math>) in potassium ferrocyanide (K<math><msub><mrow></mrow><mn>4</mn></msub></math>Fe(CN)<math><msub><mrow></mrow><mn>6</mn></msub></math>), validated by machine learning models for the data classifications. The greatest classifier algorithms models Backpropagation Neural Networks, Gaussian Naive Bayes, Logistic Regression, K-Nearest Neighbors Algorithm, K-Means clustering, and Random Forest were used as data classifiers, based on the data sets obtained from the measured chemical. Once competed to other algorithms models used previously for the data classification, ours get greater accuracy, maximum accuracy of 100% was obtained for each analyte in 25 s for the datasets.","PeriodicalId":50034,"journal":{"name":"Journal of Supercomputing","volume":"79 11","pages":"12472-12491"},"PeriodicalIF":3.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9673662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Blockchain technology applications in the health domain: a multivocal literature review. 区块链技术在卫生领域的应用：多声部文献综述。

IF 2.5 3区计算机科学

Journal of Supercomputing Pub Date : 2023-01-01 Epub Date: 2022-08-30 DOI: 10.1007/s11227-022-04772-1

Merve Vildan Baysal, Özden Özcan-Top, Aysu Betin-Can

{"title":"Blockchain technology applications in the health domain: a multivocal literature review.","authors":"Merve Vildan Baysal, Özden Özcan-Top, Aysu Betin-Can","doi":"10.1007/s11227-022-04772-1","DOIUrl":"10.1007/s11227-022-04772-1","url":null,"abstract":"Blockchain technology has been changing the nature of several businesses, from supply chain management to electronic record management systems and copyright management to healthcare applications. It provides a resilient and secure platform for modifications due to its distributed and shared nature and cryptographic functions. Each new technology, however, comes with its challenges alongside its opportunities. Previously, we performed a systematic literature review (SLR) to explore how blockchain technology potentially benefits health domain applications. The previous SLR included 27 formal literature papers from 2016 to 2020. Noticing that blockchain technology is rapidly growing, we extended the previous SLR with a multivocal literature review (MLR) approach to present the state of the art in this study. We focused on understanding to what degree blockchain could answer the challenges inherited in the health domain and whether blockchain technology may bring new challenges to health applications. The MLR consists of 78 sources of formal literature and 23 sources of gray literature from 2016 to 2021. As a result of this study, we specified 17 health domain challenges that can be categorized into four groups: (i) meeting regulatory requirements and public health surveillance, (ii) ensuring security and privacy, (iii) ensuring interoperability, and (iv) preventing waste of resources. The analysis shows that blockchain makes significant contributions to the solutions of these challenges. However, 10 new pitfalls come with adopting the technology in the health domain: the inability to delete sensitive data once it is added to a chain, limited ability to keep large-scale data in a blockchain, and performance issues. The data we extracted during the MLR is available in a publicly accessible online repository.","PeriodicalId":50034,"journal":{"name":"Journal of Supercomputing","volume":"79 3","pages":"3112-3156"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424065/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10583421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Retraction Note to: Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning. 准确计算:COVID-19 rRT-PCR阳性检测数据集，通过机器学习的文本大数据挖掘，使用阶段分类。

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2023-01-01 DOI: 10.1007/s11227-022-04937-y

Shalini Ramanathan, Mohan Ramasundaram

引用次数: 1

MinLA of (K9-C9)n and its optimal layout into certain trees (K9-C9)n的MinLA及其在特定树中的最优布局

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2023-01-01 DOI: 10.1007/s11227-023-05140-3

Syeda Afiya, M. Rajesh

引用次数: 0

Mapping the national HPC ecosystem and training needs: The Greek paradigm. 绘制国家高性能计算生态系统和培训需求:希腊范例。

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2023-01-01 DOI: 10.1007/s11227-023-05080-y

Stelios Karozis, Xenia Ziouvelou, Vangelis Karkaletsis

{"title":"Mapping the national HPC ecosystem and training needs: The Greek paradigm.","authors":"Stelios Karozis, Xenia Ziouvelou, Vangelis Karkaletsis","doi":"10.1007/s11227-023-05080-y","DOIUrl":"https://doi.org/10.1007/s11227-023-05080-y","url":null,"abstract":"HPC is a key tool for processing and analyzing the constantly growing volume of data, from 64.2 zettabytes in 2020 to an expected 180 zettabytes in 2025 (1 zettabyte is equal to 1 trillion gigabytes). As such, HPC has a large number of application areas that range from climate change, monitoring and mitigating planning to the production of safer and greener vehicles and treating COVID-19 pandemic to the advancement of knowledge in almost every scientific field and industrial domain. The current work presents an HPC Training Mapping Framework and the relevant findings and processed data of an online Training Needs Analysis (TNA) survey. The latter was used to map the training demands and gaps of existing skills and future ones. The participants consist of academia and industry and the data were utilized to find the profile of HPC user alongside the best training practices that are in need. It is found that in Greece during the year 2021, the stakeholder segment with the highest number of respondents was from academia and research with a total of 74%. The vast majority appear to have basic information accounting for 37% of the respondents. In terms of familiarity, users with intermediate familiarity with HPC represented 21% of respondents, followed by non-familiar users that accounted in total for 16.1. Advanced and highly advanced user segments account only for 8.6% and 7.4% accordingly. Overall, it is found that a: (1) fast-pace, (2) entry level, (3) applied HPC training but (4) not focused only on HPC, that will (5) provide some kind of certification, by the Greek HPC ecosystem.","PeriodicalId":50034,"journal":{"name":"Journal of Supercomputing","volume":"79 10","pages":"10691-10705"},"PeriodicalIF":3.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931169/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9500208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation and prediction of the multiply exponentially decaying daily case fatality rate of COVID-19. 估计和预测 COVID-19 的乘指数衰减日病例死亡率。

IF 2.5 3区计算机科学

Journal of Supercomputing Pub Date : 2023-01-01 Epub Date: 2023-02-23 DOI: 10.1007/s11227-023-05119-0

Soobin Kwak, Seokjun Ham, Youngjin Hwang, Junseok Kim

{"title":"Estimation and prediction of the multiply exponentially decaying daily case fatality rate of COVID-19.","authors":"Soobin Kwak, Seokjun Ham, Youngjin Hwang, Junseok Kim","doi":"10.1007/s11227-023-05119-0","DOIUrl":"10.1007/s11227-023-05119-0","url":null,"abstract":"The spread of the COVID-19 disease has had significant social and economic impacts all over the world. Numerous measures such as school closures, social distancing, and travel restrictions were implemented during the COVID-19 pandemic outbreak. Currently, as we move into the post-COVID-19 world, we must be prepared for another pandemic outbreak in the future. Having experienced the COVID-19 pandemic, it is imperative to ascertain the conclusion of the pandemic to return to normalcy and plan for the future. One of the beneficial features for deciding the termination of the pandemic disease is the small value of the case fatality rate (CFR) of coronavirus disease 2019 (COVID-19). There is a tendency of gradually decreasing CFR after several increases in CFR during the COVID-19 pandemic outbreak. However, it is difficult to capture the time-dependent CFR of a pandemic outbreak using a single exponential coefficient because it contains multiple exponential decays, i.e., fast and slow decays. Therefore, in this study, we develop a mathematical model for estimating and predicting the multiply exponentially decaying CFRs of the COVID-19 pandemic in different nations: the Republic of Korea, the USA, Japan, and the UK. We perform numerical experiments to validate the proposed method with COVID-19 data from the above-mentioned four nations.","PeriodicalId":50034,"journal":{"name":"Journal of Supercomputing","volume":"79 10","pages":"11159-11169"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947897/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9500218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Delay-discretization-based sliding mode H∞ load frequency control scheme considering actuator saturation of wind-integrated power system 考虑致动器饱和的时滞离散滑模H∞负载频率控制方案

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2022-03-27 DOI: 10.1007/s11227-022-04397-4

S. Pradhan, D. Das

引用次数: 1

Extending τ-Lop to model MPI blocking primitives on shared memory 扩展τ-Lop来模拟共享内存上的MPI阻塞原语

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2022-02-25 DOI: 10.1007/s11227-022-04352-3

Ziheng Wang, Heng Chen, Xiaoshe Dong, Weilin Cai, Yan Kang, Xingjun Zhang

引用次数: 0

Selecting services in the cloud: a decision support methodology focused on infrastructure-as-a-service context 选择云中的服务:一种关注基础设施即服务上下文的决策支持方法

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2022-01-05 DOI: 10.1007/s11227-021-04248-8

Cássio L. M. Belusso, S. Sawicki, Vítor Basto Fernandes, R. Z. Frantz, Fabricia Roos-Frantz

引用次数: 0

A tight coupling mapping method to integrate the ESKF, g2o, and point cloud alignment 一种集成ESKF、g20和点云对齐的紧密耦合映射方法

IF 3.3 3区计算机科学

Journal of Supercomputing Pub Date : 2022-01-01 DOI: 10.1007/s11227-021-03900-7

Sheng Bao, W. Shi, W. Fan, Pengxin Chen, Mingyan Nie, Haodong Xiang

引用次数: 0