J. Comput. Sci. Technol.最新文献_第2页

Conceptual Microgrid Management Framework Based on Adaptive and Autonomous Multi-Agent Systems 基于自适应自治多智能体系统的概念性微电网管理框架

J. Comput. Sci. Technol. Pub Date : 2022-04-21 DOI: 10.24215/16666038.22.e01

Diego F. Lizondo, V. Jimenez, Pedro B. Araujo, A. Will

{"title":"Conceptual Microgrid Management Framework Based on Adaptive and Autonomous Multi-Agent Systems","authors":"Diego F. Lizondo, V. Jimenez, Pedro B. Araujo, A. Will","doi":"10.24215/16666038.22.e01","DOIUrl":"https://doi.org/10.24215/16666038.22.e01","url":null,"abstract":"The Smart Grids paradigm emerged as a response to the need to modernize the electric grid and address problems related to the demand for better quality energy. However, there are no fully developed and implemented smart grids, but only some minor scale tests to prove the concepts. Centralized systems are still common, with a low granularity of control and reduced monitoring capacity, especially in low-voltage networks. In this work, we propose a framework for Microgrid Management, addressing problems such as determining how to control the energy demand and peak loads, the effect of the energy consumption in the network, and the amount of energy required. We proposed a solution based on autonomous and distributed systems for the following problems: Peak Load addressed with AIN-DSM distributed algorithm, transformer lifespan estimation using a thermal model adjusted by Genetic Algorithms, and Short-Term Load Forecasting based on Artificial Neural Networks and Genetic Algorithms. The distributed paradigm of the Organization Centered Multi-Agent Systems methodology was applied for the framework's modeling and development. The results obtained by using these solutions in the Tucumán province, Argentina, show the system's capabilities and the relevance of the information produced from the framework.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115196290","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

Adaptive gamification in collaborative location collecting systems: a case of traveling behavior detection 协同位置收集系统中的自适应游戏化:一个旅行行为检测的案例

J. Comput. Sci. Technol. Pub Date : 2022-04-21 DOI: 10.24215/16666038.22.e05

María Dalponte Ayastuy, Diego Torres

{"title":"Adaptive gamification in collaborative location collecting systems: a case of traveling behavior detection","authors":"María Dalponte Ayastuy, Diego Torres","doi":"10.24215/16666038.22.e05","DOIUrl":"https://doi.org/10.24215/16666038.22.e05","url":null,"abstract":"Collaborative location collecting systems (CLCS) is a particular case of collaborative systems where a community of users collaboratively collects data associated with a geo-referenced location. Gamification is a strategy to convene participants to CLCS. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. A strategy for adapting gamification in CLCS is to build game challenges tailored to the player’s spatio-temporal behavior. This type of adaptation requires having a user traveling behavior profile. Particularly, this work is focused on the first steps to detect users’ behavioral profiles related to spatial-temporal activities in the context of CLCS. Specifically, this article introduces: (1) a strategy to detect patterns of spatial-temporal activities, (2) a model to describe the spatial-temporal behavior of users based on (1), and a strategy to detect users’ behavioral patterns based on unsupervised clustering. The approach is evaluated over a Foursquare dataset. The results showed two types of behavioral atoms and two types of users’ behavioral patterns. ","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115903702","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

An Approach to the Modeling and Simulation of Intra-Hospital Diseases 医院内疾病的建模与仿真方法

J. Comput. Sci. Technol. Pub Date : 2021-10-21 DOI: 10.24215/16666038.21.e14

Diego Encinas, Lucas Maccallini, Fernando Romero

引用次数: 1

IIoT/IoT and Artificial Intelligence/Machine Learning as a Process Optimization driver under industry 4.0 model 工业4.0模式下工业物联网/物联网和人工智能/机器学习作为流程优化驱动因素

J. Comput. Sci. Technol. Pub Date : 2021-10-21 DOI: 10.24215/16666038.21.e15

Federico Walas, A. Redchuk

{"title":"IIoT/IoT and Artificial Intelligence/Machine Learning as a Process Optimization driver under industry 4.0 model","authors":"Federico Walas, A. Redchuk","doi":"10.24215/16666038.21.e15","DOIUrl":"https://doi.org/10.24215/16666038.21.e15","url":null,"abstract":"The advance of digitalization in industry is making possible that connected products and processes help people, industrial plants and equipment to be more productive and efficient, and the results for operative processes should impact throughout the economy and the environment.Connected products and processes generate data that is being seen as a key source of competitive advantage, and the management and processing of that data is generating new challenges in the industrial environment.The article to be presented looks into the framework of the adoption of Artificial Intelligence and Machine Learning and its integration with IIoT or IoT under industry 4.0, or smart manufacturing framework. This work is focused on the discussion around Artificial Intelligence/Machine Learning and IIoT/IoT as driver for Industrial Process optimization.The paper explore some related articles that were find relevant to start the discussion, and includes a bibliometric analysis of the key topics around Artificial Intelligence/Machine Learning as a value added solution for process optimization under Industry 4.0 or Smart Manufacturing paradigm.The main findings are related to the importance that the subject has acquired since 2013 in terms of published articles, and the complexity of the approach of the issue proposed by this work in the industrial environment.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116679698","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: 6

Energy-efficient algebra kernels in FPGA for High Performance Computing 面向高性能计算的FPGA节能代数核

J. Comput. Sci. Technol. Pub Date : 2021-10-21 DOI: 10.24215/16666038.21.e09

Federico Favaro, Ernesto Dufrechu, P. Ezzatti, J. Oliver

{"title":"Energy-efficient algebra kernels in FPGA for High Performance Computing","authors":"Federico Favaro, Ernesto Dufrechu, P. Ezzatti, J. Oliver","doi":"10.24215/16666038.21.e09","DOIUrl":"https://doi.org/10.24215/16666038.21.e09","url":null,"abstract":"The dissemination of multi-core architectures and the later irruption of massively parallel devices, led to a revolution in High-Performance Computing (HPC) platforms in the last decades. As a result, Field-Programmable Gate Arrays (FPGAs) are re-emerging as a versatile and more energy-efficient alternative to other platforms. Traditional FPGA design implies using low-level Hardware Description Languages (HDL) such as VHDL or Verilog, which follow an entirely different programming model than standard software languages, and their use requires specialized knowledge of the underlying hardware. In the last years, manufacturers started to make big efforts to provide High-Level Synthesis (HLS) tools, in order to allow a grater adoption of FPGAs in the HPC community.Our work studies the use of multi-core hardware and different FPGAs to address Numerical Linear Algebra (NLA) kernels such as the general matrix multiplication GEMM and the sparse matrix-vector multiplication SpMV. Specifically, we compare the behavior of fine-tuned kernels in a multi-core CPU processor and HLS implementations on FPGAs. We perform the experimental evaluation of our implementations on a low-end and a cutting-edge FPGA platform, in terms of runtime and energy consumption, and compare the results against the Intel MKL library in CPU. \u0000 ","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130890653","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

Implementation of the Single Equine Document (DUE) in the Province of Buenos Aires 在布宜诺斯艾利斯省实施单马文件(DUE)

J. Comput. Sci. Technol. Pub Date : 2021-10-01 DOI: 10.24215/16666038.21.E17

Lisandro Delía, Manuel Olegario Becerra, Augusto Villa Monte, Marcelo Hermigarate

引用次数: 0

Proposed extended analytic hierarchical process for selecting data science methodologies 提出了选择数据科学方法的扩展分析层次过程

J. Comput. Sci. Technol. Pub Date : 2021-04-17 DOI: 10.24215/16666038.21.E6

Karin Eckert, P. Britos

{"title":"Proposed extended analytic hierarchical process for selecting data science methodologies","authors":"Karin Eckert, P. Britos","doi":"10.24215/16666038.21.E6","DOIUrl":"https://doi.org/10.24215/16666038.21.E6","url":null,"abstract":"Decision making can present a considerable amount of complexity in competitive environments; where methods that support possess great relevance. The article presents an extension of the Hierarchic Analytical Process; complemented with Personal Construct Theory, which purpose is to reduce ambiguity when defining and establishing values for the criteria in a determined problem. In recent years, the scope for decision making based on data has considerably raised, which is why Data Science as a scientific field is rising in popularity; where one of the main activities for data scientists is selecting an adequate methodology to guide a project with this traits. The steps defined in the proposed model guide this task, from establishing and prioritizing criteria based on degrees of compliance, grouping them by levels, completing the hierarchical structure of the problem, performing the correct comparisons through different levels in an ascendant manner, to finally obtaining the definitive priorities of each methodology for each validation case and sorting them by their adequacy percentages. Both disparate cases, one referred to an industrial/commercial field and the other to an academic field, were effective to corroborate the extent of usefulness of the proposed model; for which in both cases MoProPEI obtained the best results.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125616521","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

Practical Design of Flow Meter for Mechanical Ventilation Equipment 机械通风设备流量计的实用设计

J. Comput. Sci. Technol. Pub Date : 2021-04-17 DOI: 10.24215/16666038.21.E05

Nelson Dugarte Jerez, A. Álvarez, E. Dugarte, Negman Alvarado, S. Bhaskar

{"title":"Practical Design of Flow Meter for Mechanical Ventilation Equipment","authors":"Nelson Dugarte Jerez, A. Álvarez, E. Dugarte, Negman Alvarado, S. Bhaskar","doi":"10.24215/16666038.21.E05","DOIUrl":"https://doi.org/10.24215/16666038.21.E05","url":null,"abstract":"This paper introduces a practical technique for the design of an instrument used in air flow measurement or flowmeter. This instrument is an essential component in the hospital medical ventilation equipment functioning, therefore, the parameters design presented in this article focus on this purpose. However, this instrument can be employed to any measurement scale. The technique is based on indirect flow measurement, using a sensor that converts the flow parameter into a differential pressure measurement. An electronic transducer allows the differential pressure values to be obtained as an electrical signal, which is then digitized and analyzed to obtain the original parameter. The experimental procedure presented in this paper utilizes a computational algorithm to perform the signal analysis; however, given the simplicity of the procedure, this could be adapted to any digital processing card or platform, to show the measurement obtained immediately. Preliminary analyses demonstrated instrument efficiency with sensitivity of 0.0681 L/s. Accuracy evaluation showed an average measurement error lesser than 1.4%, with a standard deviation of 0.0612 and normal distribution over the set of test measurements.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132850111","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

Towards a Whole Body [18F] FDG Positron Emission Tomography Attenuation Correction Map Synthesizing using Deep Neural Networks 基于深度神经网络的全身[18F] FDG正电子发射层析成像衰减校正图合成

J. Comput. Sci. Technol. Pub Date : 2021-04-17 DOI: 10.24215/16666038.21.E04

R. R. Colmeiro, C. Verrastro, D. Minsky, T. Grosges

{"title":"Towards a Whole Body [18F] FDG Positron Emission Tomography Attenuation Correction Map Synthesizing using Deep Neural Networks","authors":"R. R. Colmeiro, C. Verrastro, D. Minsky, T. Grosges","doi":"10.24215/16666038.21.E04","DOIUrl":"https://doi.org/10.24215/16666038.21.E04","url":null,"abstract":"The correction of attenuation effects in Positron Emission Tomography (PET) imaging is fundamental to obtain a correct radiotracer distribution. However direct measurement of this attenuation map is not error-free and normally results in additional ionization radiation dose to the patient. Here, we explore the task of whole body attenuation map generation using 3D deep neural networks. We analyze the advantages thar an adversarial network training cand provide to such models. The networks are trained to learn the mapping from non attenuation corrected [18 ^F]-fluorodeoxyglucose PET images to a synthetic Computerized Tomography (sCT) and also to label the input voxel tissue. Then the sCT image is further refined using an adversarial training scheme to recover higher frequency details and lost structures using context information. This work is trained and tested on public available datasets, containing several PET images from different scanners with different radiotracer administration and reconstruction modalities. The network is trained with 108 samples and validated on 10 samples. The sCT generation was tested on 133 samples from 8 distinct datasets. The resulting mean absolute error of the networks is 90±20 and 103±18HU and a peak signal to noise ratio of 19.3±1.7 dB and 18.6±1.5, for the base model and the adversarial model respectively. The attenuation correction is tested by means of attenuation sinograms, obtaining a line of response attenuation mean error lower than 1% with a standard deviation lower than 8%. The proposeddeep learning topologies are capable of generating whole body attenuation maps from uncorrected PET image data. Moreover, the accuracy of both methods holds in the presence of data from multiple sources and modalities and are trained on publicly available datasets. Finally, while the adversarial layer enhances visual appearance of the produced samples, the 3D U-Net achieves higher metric performance","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121545342","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

Blockchain-Based Music Wallet for Copyright Protection in Audio Files: Blockchain-Based Music Wallet for Copyright Protection in Audio Files 基于区块链的音频文件版权保护音乐钱包:基于区块链的音频文件版权保护音乐钱包

J. Comput. Sci. Technol. Pub Date : 2021-04-17 DOI: 10.24215/16666038.21.E2

Remzi Gürfidan, M. Ersoy

引用次数: 4