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Data analysis approach for characterizing residential energy consumption based on statistics of household appliances ownership 基于家电保有量统计的住宅能耗特征数据分析方法
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.02
J. Chavat, Sergio Nesmachnow
{"title":"Data analysis approach for characterizing residential energy consumption based on statistics of household appliances ownership","authors":"J. Chavat, Sergio Nesmachnow","doi":"10.47350/AICTS.2020.02","DOIUrl":"https://doi.org/10.47350/AICTS.2020.02","url":null,"abstract":"Worldwide, residential electricity demand has increased constantly, expecting to double in 2050 the demand of 2010. Different policies have been proposed to achieve a smart use of electricity. This article presents a data-analysis approach to evaluate the potential household electricity consumption from statistical data. The main axis of the study are statistics of appliance ownership and information of the appliance characteristics, gathered from census surveys and local shops. An index to estimate the electricity consumption is performed. The validation of the proposed index is carried out using real consumption data from the Electricity Consumption Data set of Uruguay and Ordinary Least Square linear regressions. Jupyter notebooks, Python language and well-know libraries such as Pandas and Numpy were used during the implementation. The main results show that administrative regions located on the West/Southwest coastlines present the highest index scores. In turn, census sections/segments on the West/Southwest coastlines of Montevideo performed the highest scores while the lowest scores can be found at the outskirts of the city. The proposed methodology can be applied for electricity consumption estimation in other regions/countries where census data is publicly available.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"1 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":"134407726","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
Analysis of comparative effectiveness of state-of-the-art heuristics for CDCL SAT solvers 最先进的启发式CDCL SAT求解器的比较有效性分析
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.11
S. Kochemazov
{"title":"Analysis of comparative effectiveness of state-of-the-art heuristics for CDCL SAT solvers","authors":"S. Kochemazov","doi":"10.47350/AICTS.2020.11","DOIUrl":"https://doi.org/10.47350/AICTS.2020.11","url":null,"abstract":"The Conflict-Driven Clause Learning algorithms for solving the Boolean satisfiability problem comprise the major part of the methods used to solve various instances of the problems that arise in industry and science. In recent years there have been proposed several major heuristics for these algorithms which are assumed to be de facto good for the solvers’ performance over diverse sets of benchmarks. The goal of this paper is to evaluate the contribution of each separate heuristic to the performance of a state-of-the-art solver, see the extent to which they are beneficial, and figure out if the heuristics have any particular features that need to be taken into account.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"1 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":"116923068","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
Application of user dew agent in hybrid-computing environments 用户露剂在混合计算环境中的应用
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.16
A. A. Pashinin, V. Bogdanova
{"title":"Application of user dew agent in hybrid-computing environments","authors":"A. A. Pashinin, V. Bogdanova","doi":"10.47350/AICTS.2020.16","DOIUrl":"https://doi.org/10.47350/AICTS.2020.16","url":null,"abstract":"In recent years, research in Dew computing as a new layer in the vertical hierarchy of scalable computing has been developing. Directions for the development of this technology include research into the possibilities of Dew computing and its applications. Our research belongs to the second direction. We use this technology in a package of applied microservices for solving complex problems of the qualitative study of binary dynamic systems based on the Boolean constraint method in a hybrid cloud environment. This environment includes on-premises, high-performance, and cloud resources. In this paper, the usage of Dew computing technology in a hybrid cloud environment is discussed. A user dew agent installed on an on-premises resource is proposed to provide the possibility of the applied microservices package collaboration with cloud services in a hybrid cloud environment. The advantages of using a user dew agent are considered. The architecture, functionality, operation modes, and the installation of the dew agent are presented.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"1 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":"129252144","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
Static-dynamic algorithm for managing asynchronous computations in distributed environments 用于管理分布式环境中异步计算的静态动态算法
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.07
S. Gorsky, A. Feoktistov
{"title":"Static-dynamic algorithm for managing asynchronous computations in distributed environments","authors":"S. Gorsky, A. Feoktistov","doi":"10.47350/AICTS.2020.07","DOIUrl":"https://doi.org/10.47350/AICTS.2020.07","url":null,"abstract":"The paper addresses a relevant problem of computation scheduling in scientific applications (distributed applied software packages) executed in distributed environments. Forming an optimal schedule of jobs for executing of applied software (modules) is an NP-hard problem. Therefore, in practice, heuristic methods of scheduling are often used. In this regard, we propose a new static-dynamic algorithm for managing computations in heterogeneous distributed environments. The results of operating the proposed algorithm are simulated in comparison with other scenarios for computing management. They show that applying the algorithm makes it possible to achieve a rational balance between the scheduling time and the computations makespan.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"89 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":"130502383","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
Generative adversarial networks to model air pollution under uncertainty 不确定条件下空气污染的生成对抗网络模型
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.20
J. Toutouh, Sergio Nesmachnow, D. Rossit
{"title":"Generative adversarial networks to model air pollution under uncertainty","authors":"J. Toutouh, Sergio Nesmachnow, D. Rossit","doi":"10.47350/AICTS.2020.20","DOIUrl":"https://doi.org/10.47350/AICTS.2020.20","url":null,"abstract":"Urbanization trends worldwide show a clear preference for motorized road mobility, which has led to a degradation of air quality in recent years. Modelling and forecasting ambient air pollution is a relevant problem because it helps decision-makers and urban city planners understand this phenomenon, which is a significant threat to citizens’ health. Generally, datadriven models suffer from a lack of data. This article addresses the issue of having limited access to road traffic density and pollution concentration data by applying deep generative models, specifically, Conditional Generative Adversarial Networks (CGAN). The main idea is to train CGANs to generate synthetic nitrogen dioxide concentration values given the road traffic density. The experimental data analysis from Montevideo (Uruguay) shows that the proposed method generates realistic (accurate and diverse) pollution data while using reduced computational resources.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"63 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":"129010124","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
Building user interfaces in e-learning resources 在电子学习资源中构建用户界面
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.12
Yana Kurzibova
{"title":"Building user interfaces in e-learning resources","authors":"Yana Kurzibova","doi":"10.47350/AICTS.2020.12","DOIUrl":"https://doi.org/10.47350/AICTS.2020.12","url":null,"abstract":"The article discusses a pressing problem of improving the quality of e-learning and considers a special approach to e-learning resources graphic interfaces layout based on the Successive Approximation Model of instructional design. This approach allows the learner to influence the attainability of learning goals, which implements the principle of humanization and individualization of e-learning.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"2 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":"123974796","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
Multiobjective design of sustainable public transportation systems 可持续公共交通系统的多目标设计
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.18
D. Rossit, Sergio Nesmachnow, J. Toutouh
{"title":"Multiobjective design of sustainable public transportation systems","authors":"D. Rossit, Sergio Nesmachnow, J. Toutouh","doi":"10.47350/AICTS.2020.18","DOIUrl":"https://doi.org/10.47350/AICTS.2020.18","url":null,"abstract":"The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demands by passengers, the total travel time, and the generated pollution. The proposed model is solved using exact weighted sum and a heuristic procedure based on the standard shortest path problem. Preliminary tests were performed in small real-world instances of Montevideo, Uruguay. Experiments allowed obtaining a set of compromising solutions that in turn allow exploring different trade-off among the optimization criteria. The proposed heuristic was competitive, being able to find a good compromising solution in short computing times.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"350 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":"133181474","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
Software architectures in smart manufacturing: Review and experiences 智能制造中的软件架构:回顾与经验
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.19
Ž. Stojanov, D. Dobrilović, Gordana Jotanović, D. Peraković, Goran Jauševac, V. Brtka
{"title":"Software architectures in smart manufacturing: Review and experiences","authors":"Ž. Stojanov, D. Dobrilović, Gordana Jotanović, D. Peraković, Goran Jauševac, V. Brtka","doi":"10.47350/AICTS.2020.19","DOIUrl":"https://doi.org/10.47350/AICTS.2020.19","url":null,"abstract":"Cyber-physical systems based on heterogeneous and distributed devices, applications and services are the core of smart factories. Smart manufacturing systems are highly dependent on software applications and services that enable integration of data from different and heterogeneous sources, as well as support for control and management processes. Development and implementation of specific architecture styles and patterns in smart industrial settings is essential for their performance. Several software architecture styles used in Industry 4.0 environments are discussed and illustrated with examples from literature. Our experience with a prototype of a smart sensor-based layered architecture is presented and discussed. Further work will be directed towards development of service oriented architectures and reengineering method for old fashioned industrial settings.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"22 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":"115767670","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
Traffic flow prediction for vehicle emission calculation based on graph convolutional networks 基于图卷积网络的车辆排放计算交通流预测
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.10
Peng Jiang, I. Bychkov, Jun Liu, Tianjiao Li, A. Hmelnov
{"title":"Traffic flow prediction for vehicle emission calculation based on graph convolutional networks","authors":"Peng Jiang, I. Bychkov, Jun Liu, Tianjiao Li, A. Hmelnov","doi":"10.47350/AICTS.2020.10","DOIUrl":"https://doi.org/10.47350/AICTS.2020.10","url":null,"abstract":"Monitoring the distribution of vehicle exhaust emissions within the city is a very challenging problem since it is affected by many complex factors, such as spatial-temporal correlation and the other environment conditions. In addition, the technology of using sensors to directly monitor vehicle exhaust emissions is still in the initial stage, and it is hard to implement direct monitoring in a large area. Thus, we use the existing environmental theory to measure the distribution of vehicle exhaust emissions in cities by traffic volume. In this paper, the problem we need to solve is how to use the data of sparse monitoring stations and inherent traffic network to infer the spatial-temporal distribution of traffic volume. In order to solve this problem, we propose a graph convolutional network model to extract the characteristics of traffic data and other features. We have done a lot of experiments on real traffic data sets. The experimental results show that the proposed method performs better than the existing methods.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"101 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":"116240832","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 RVML extension for modeling fuzzy rule bases 一个用于模糊规则库建模的RVML扩展
International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI: 10.47350/AICTS.2020.04
N. Dorodnykh, A. Yurin
{"title":"An RVML extension for modeling fuzzy rule bases","authors":"N. Dorodnykh, A. Yurin","doi":"10.47350/AICTS.2020.04","DOIUrl":"https://doi.org/10.47350/AICTS.2020.04","url":null,"abstract":"Rules are still the most widespread way to represent expert knowledge despite the popularity of semantic technologies. The effective use of rules in decision-making in the case of inaccurate or uncertain information requires the development of specialized means and software for visual and generative programming. This paper considers an extension of the Rule Visual Modeling Language called FuzzyRVML designed for modeling fuzzy rule bases. FuzzyRVML supports a fuzzy datatype, concepts of a linguistic variable, terms, and certainty factors. The descriptions of FuzzyRVML basic elements, main constructions, and an illustrative example containing FuzzyCLIPS source code generation are presented. The evaluation and implementation of this notation are made based on the Personal Knowledge Base Designer software.","PeriodicalId":395296,"journal":{"name":"International Workshop on Advanced Information and Computation Technologies and Systems","volume":"54 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":"125023280","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
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