2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献_第3页

Real-time Emotion Recognition in Smart Homes 智能家居中的实时情感识别

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158664

Kristián Fodor, Z. Balogh, Gy. Molnar

引用次数: 1

Algorithm for equilibrium in the symmetric two-player Hirshleifer contests 对称二人Hirshleifer博弈中的均衡算法

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158666

Boróka Olteán-Péter, Csaba Farkas

引用次数: 0

Evolution of Debt, Revenue and Budget Balance in the Hungarian Local Government System between 2012 and 2021 2012 - 2021年匈牙利地方政府系统债务、收入和预算平衡的演变

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158654

Szilárd Hegedüs, C. Lentner

{"title":"Evolution of Debt, Revenue and Budget Balance in the Hungarian Local Government System between 2012 and 2021","authors":"Szilárd Hegedüs, C. Lentner","doi":"10.1109/SACI58269.2023.10158654","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158654","url":null,"abstract":"The study examines the Hungarian local government subsystem from a management perspective. The study analyses revenues, the budget balance and the debt stock in detail for the period 2012-2021. During the period under study, there were significant changes in the financing and the functions of Hungarian local governments. A striking change is that the decentralised local government system has been replaced by a centralised local government system. Centralisation was mainly in the area of the tasks performed, mainly in the area of public human services. Debt consolidation. Following consolidation, municipal revenues fell sharply as responsibilities were reduced, but the system stabilised. In terms of revenue, it can be noted that the election year has an influence on revenue trends. This fact naturally also affects expenditure, with the municipal subsystem running a deficit in 2019. However, debt has started to increase again since 2017, despite the existence of rule-based practices. The measures taken in the wake of the COVID-pandemic have significantly reduced the revenue potential of local governments, and the sector faces a significant challenge.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127069132","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

Lane detection and traffic sign recognition 车道检测和交通标志识别

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158539

R. Mészáros, S. Sergyán

引用次数: 0

Averaged Neural Network Integrated with Recursive Feature Elimination for Flood Hazard Assessment 基于递归特征消除的平均神经网络洪水灾害评价

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158640

B. Choubin, A. Jaafari, Jalal Henareh, F. Hosseini, Amir H. Mosavi

引用次数: 0

A Combined Finite State Machine and PlantUML Approach to Machine Learning Applications 有限状态机与PlantUML相结合的机器学习应用方法

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158543

Mircea Trifan, B. Ionescu, D. Ionescu

{"title":"A Combined Finite State Machine and PlantUML Approach to Machine Learning Applications","authors":"Mircea Trifan, B. Ionescu, D. Ionescu","doi":"10.1109/SACI58269.2023.10158543","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158543","url":null,"abstract":"Despite recent progress made in the theory and practice of Artificial Intelligence (AI), there is still a lack of tools and algorithms for the design and implementation of Neural Networks (NN) capable of explaining how the processes producing decisions are made. Therefore there is a need for devising new algorithms for endowing NN to address the transparency and accountancy in the use of AI, especially in areas where AI decisions have a significant impact on people’s lives. This led to the research and investigation of algorithms for explainable AI (XAI), a field which is at the very beginning of its activities. In this paper, a Finite State Machine (FSM) approach is applied to the design and implementation of a blend of Machine Learning (ML) frameworks capable to auto-build, auto-train, and auto-deploy AI models using abstract representations. It is demonstrated, in this paper, that FSMs can be generated and applied at the design of engineering and AI automation tools such that platforms such as AutoML, AutoGluon and others can be controlled at their turn. The automation of AI models is achieved by parsing the FSM states, which results in the creation of Python artifacts that can be executed. The proposed FSM controls the Automated AI Platforms (AAIP) based on the decisions made by the FSM Controller (FSMC). The FSMC is the root of the FSM graph possessing in its structure the rules driving the NNs. The parsed diagrams are nodes of the diagrammatic reasoning (DR) algorithms. These algorithms are capable of selecting the proper FSM and PlantUML diagrams from a database of such diagrams. An implementation of the combination of FSM, FSMC and RNN is described in this paper plainly illustrating the advantages of the FSM approach to AI. The PlantUML diagrams used to generate the figures in this article can be found at the following URL 1.1https://github.com/mirceat/FSM2ML-diagrams","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407783","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 Communication Interfaces in Railway Systems 铁路系统通信接口的分类

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158659

Gergely Kún, Tibor Wührl

引用次数: 0

Application of 3D multi-user software tools in digital medicine – a scoping review 三维多用户软件工具在数字医学中的应用——范围综述

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158566

Miklós Vincze, M. Kozlovszky, Csaba Sántics, T. Haidegger

引用次数: 0

Development of a complex mathematical model for the extreme voltage fluctuations in the public distribution networks 建立了公共配电网中电压极端波动的复杂数学模型

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158553

Judith Pálfi, Zsolt Čonka, R. Štefko, F. Molnár

{"title":"Development of a complex mathematical model for the extreme voltage fluctuations in the public distribution networks","authors":"Judith Pálfi, Zsolt Čonka, R. Štefko, F. Molnár","doi":"10.1109/SACI58269.2023.10158553","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158553","url":null,"abstract":"The direction of the electrical energy in the process of power consumption in the distribution grid – until the appearance of new renewable sources- was coming from a small number of large power plants (producers) toward the consumers. With the emergence of the production by Small Domestic Power Plants (SDPP) and E-mobility the load on the low voltage distribution grid lines changed significantly. Unexpected phenomenas appeared such as extreme voltage fluctuations. This paper deals with the extreme voltage fluctuations appearing in the low voltage distribution networks. The voltage fluctuation is considered in relation to the deviation from the fluctuation limits allowed by the Hungarian standard MSZ 477:2019. For the scientifical description of the extreme voltage fluctuations a new database system has been created containing the data required to formulate, describe, model and analyze the subject. The authors of this paper aim to develop and present in detail a mathematical model that deals in a complex way with the subject of extreme voltage fluctuations in the public distribution networks.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122777216","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

Public Key Infrastructure in the Post-Quantum Era 后量子时代的公钥基础设施

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158562

Fruzsina Bene, A. Kiss

引用次数: 0