International Workshop on Advanced Information and Computation Technologies and Systems最新文献

Predicting of air pollutant concentrations based on spatio-temporal attention convolutional LSTM networks 基于时空注意力卷积LSTM网络的大气污染物浓度预测

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.09

Peng Jiang, I. Bychkov, Jun Liu, A. Hmelnov

{"title":"Predicting of air pollutant concentrations based on spatio-temporal attention convolutional LSTM networks","authors":"Peng Jiang, I. Bychkov, Jun Liu, A. Hmelnov","doi":"10.47350/AICTS.2020.09","DOIUrl":"https://doi.org/10.47350/AICTS.2020.09","url":null,"abstract":"Forecasting of air pollutant concentration, which is influenced by air pollution accumulation, traffic flow and industrial emissions, has attracted extensive attention for decades. In this paper, we propose a spatio-temporal attention convolutional long short term memory neural networks (Attention-CNN-LSTM) for air pollutant concentration forecasting. Firstly, we analyze the Granger causalities between different stations and establish a hyperparametric Gaussian vector weight function to determine spatial autocorrelation variables, which is used as part of the input feature. Secondly, convolutional neural networks (CNN) is employed to extract the temporal dependence and spatial correlation of the input, while feature maps and channels are weighted by attention mechanism, so as to improve the effectiveness of the features. Finally, a depth long short term memory (LSTM) based time series predictor is established for learning the long-term and short-term dependence of pollutant concentration. In order to reduce the effect of diverse complex factors on LSTM, inherent features are extracted from historical air pollutant concentration data meteorological data and timestamp information are incorporated into the proposed model. Extensive experiments were performed using the Attention-CNNLSTM, autoregressive integrated moving average (ARIMA), support vector regression (SVR), traditional LSTM and CNN, respectively. The results demonstrated that the feasibility and practicability of Attention-CNN-LSTM on estimating CO and NO concentration.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125341934","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

Construction techniques of Baikal microbiome research information-computational environment 贝加尔湖微生物组研究信息-计算环境构建技术

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.03

Evgeniy A. Cherkashin, A. Shigarov

引用次数: 0

Estimation of water quality parameters from space images 基于空间图像的水质参数估计

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.17

A. Popova

引用次数: 0

Features of inference for abnormal truth values of premises in VTF-logics vtf逻辑中前提异常真值的推理特征

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.01

L. Arshinskiy, V. Arshinskiy, M. Dunaev, M. Nitezhuk

引用次数: 0

Agent-based approach to hybrid modeling queuing systems 基于agent的混合排队系统建模方法

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.05

A. Feoktistov, R. Kostromin, O. Basharina, Andrei Tchernykh, V. Dmitriev

{"title":"Agent-based approach to hybrid modeling queuing systems","authors":"A. Feoktistov, R. Kostromin, O. Basharina, Andrei Tchernykh, V. Dmitriev","doi":"10.47350/AICTS.2020.05","DOIUrl":"https://doi.org/10.47350/AICTS.2020.05","url":null,"abstract":"Nowadays, the study of the behavior of social, economic, and technical queuing systems at different stages of their design and operation is a challenge for simulation modeling. The complexity of the dynamic structure of such systems is owing to a number of factors. Among them are a large number of system characteristics and relations between them, the existence of a large spectrum of distribution laws of random events, the need to collect and analyze current data on the system under study, and the presence of various constraints. Moreover, relations can be represented by functional, statistical, ambiguous, or other mappings. Unfortunately, simulation modeling tools are not widespread in designing and applying business processes, unlike other products of information and computation technologies (system of the office administration, warehouse management, etc.). In this regard, we present an approach to developing web-service for simulation modeling of queuing systems. Within the approach, we automate some stages of web-service development and use. To this end, we apply tools that support distributed computing with parameter variations in a heterogeneous environment, which includes virtualized resources. We provide a multi-agent management of computations. The practical use of the tools is shown on the example of developing a web-service for simulation modeling of a typical health and care institution.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128781932","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

Multiobjective evolutionary flight planning of autonomous unmanned aerial vehicles for exploration and surveillance 自主无人侦察飞行器多目标演化飞行规划

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.13

S. Nesmachnow, Claudio J. Paz, J. Toutouh, Andrei Tchernykh

引用次数: 0

Application of binary dynamical systems in the problem of classification of Boolean vectors 二元动力系统在布尔向量分类问题中的应用

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.15

G. Oparin, V. Bogdanova, A. A. Pashinin

引用次数: 0

An approach to information export from database for complex master-detail table hierarchies into a single flat table form 一种从数据库中将复杂的主-详细表层次结构的信息导出到单一平面表形式的方法

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.08

A. Hmelnov, Gennadiy M. Ruzhnikov, Tianjiao Li, Huan Xu

{"title":"An approach to information export from database for complex master-detail table hierarchies into a single flat table form","authors":"A. Hmelnov, Gennadiy M. Ruzhnikov, Tianjiao Li, Huan Xu","doi":"10.47350/AICTS.2020.08","DOIUrl":"https://doi.org/10.47350/AICTS.2020.08","url":null,"abstract":"When developing a database client application it is usually required to implement a capability to export information from database tables into some simple data-exchange representations of tables like the CSV (Comma-Separated Values) format. It is very straightforward to implement the export for a single database table. But some information about the records of a master table may be represented by the records from, sometimes, several detail tables, so the resulting CSV table would be incomplete without this information. We develop AIS (automated information systems) using declarative specifications of database applications (SDA). The AIS’es are implemented using general algorithms, which are directed by the specifications. In this article we’ll consider the approach to generation of flat tables from the master-detail groups of tables, which allows users to represent compactly the data from a hierarchy of tables related by the master-detail relationships and to select conveniently which kind of information to include into the resulting table.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127132009","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

Affinity multiprocessor scheduling considering communications and synchronizations using a Multiobjective Iterated Local Search algorithm 使用多目标迭代局部搜索算法考虑通信和同步的亲和性多处理器调度

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.14

S. Nesmachnow, Andrei Tchernykh

{"title":"Affinity multiprocessor scheduling considering communications and synchronizations using a Multiobjective Iterated Local Search algorithm","authors":"S. Nesmachnow, Andrei Tchernykh","doi":"10.47350/AICTS.2020.14","DOIUrl":"https://doi.org/10.47350/AICTS.2020.14","url":null,"abstract":"This article studies the affinity scheduling problem in multicore computing systems, considering the minimization of communications and synchronizations. The problem consists in assigning a set of tasks to resources to minimize the overall execution time of the set of tasks and the execution time required to compute the schedule. A Multiobjective Iterated Local Search method is proposed to solve the studied affinity scheduling problem, which considers the different times required for communication and synchronization of tasks executing on different cores of a multicore computer. The experimental evaluation of the proposed scheduling method is performed over realistic instances of the scheduling problem, considering a set of common benchmark applications from the parallel scientific computing field, and a modern multicore platform from National Supercomputing Center, Uruguay. The main results indicate that the proposed multiobjective Iterated Local Search method improves up to 21.6% over the traditional scheduling techniques (a standard Round Robin and a Greedy scheduler)","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122969469","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

Identification of basic criteria of portfolio analysis based on the rolling verification principle 基于滚动验证原理的组合分析基本准则的确定

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.06

D. Gercekovich, E. Gorbachevskaya, I. Shilnikova

引用次数: 1