2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献_第9页

Green City as a Development Issue–Based on an Empirical Survey of Budaörs 绿色城市作为一个发展问题——基于Budaörs的实证调查

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158571

Csilla Mizser

{"title":"Green City as a Development Issue–Based on an Empirical Survey of Budaörs","authors":"Csilla Mizser","doi":"10.1109/SACI58269.2023.10158571","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158571","url":null,"abstract":"Local regulations provide a number of opportunities for intervention to create an adaptable, resilient settlement. It is proposed to create a separate environmental (or more narrowly: climate protection) regulation, the elements of which could include a reduction in the business tax on companies that use renewable energy or build green roofs, while increasing the tax on companies that leave their car parks without trees planted and maintained in suitable conditions; the co-operation between the maintainer of green areas and the operators of public utilities should be extended and deepened, it should be regulated that not only the road operator but also the green area maintenance department should be notified in advance and at the same time when utilities perform maintenance or renovation on underground cables, or horticultural supervision in the event of such interventions. Green city regulation can be defining afforestation and greening requirements in traditionally built streets; setting strict replacement requirements for any felling and the procedure for financing actions formulated within the framework of other measures, the establishment of a climate protection fund. The present paper is an empirical study looking for the answer to how much the local population percieves the city as green and why.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"43 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":"132453535","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

A Kinetic Model-Based Approach for Estimating Hemoglobin A1c Based on Average Glucose 基于平均葡萄糖的糖化血红蛋白动力学模型估算方法

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158607

J. Tasic, M. Takács, L. Kovács

引用次数: 0

Birth time prediction based on uterus-activity using machine learning 使用机器学习基于子宫活动的出生时间预测

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158602

Gréta Gonda, Gábor Kertész

引用次数: 0

Model Predictive Control of a Packed-U-cells Inverter with PV, Boost and Bidirectional Rectifier for Solid-State Transformers 固态变压器用PV、Boost和双向整流器组合的u -cells逆变器模型预测控制

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158627

Ibrahim. A. M. Ahmed, L. Mihet-Popa

{"title":"Model Predictive Control of a Packed-U-cells Inverter with PV, Boost and Bidirectional Rectifier for Solid-State Transformers","authors":"Ibrahim. A. M. Ahmed, L. Mihet-Popa","doi":"10.1109/SACI58269.2023.10158627","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158627","url":null,"abstract":"Balancing the power flow in a three-phase system is one of the challenges in distribution networks, which is even more exacerbated with the widespread adoption of renewable energy sources (RES) and the development of smart grids. The transformer is one of the fundamental devices in power distribution that provides a means to link high-voltage, medium-voltage, and low-voltage networks in addition to galvanic isolation. Classical transformers utilize magnetic coupling with a turn ratio between coils to achieve this basic functionality, but they are bulky, expensive, and do not provide additional smart features. The use of a power electronics transformer (PET), also called a solid-state transformer (SST), has been introduced in the literature using a three-phase to single-phase converter to solve this problem. However, the focus was mainly on the inverter and a basic diode rectifier was used without RES integration. This paper bridged this gap by replacing it with a bidirectional converter and investigating its performance using solar power connected to the DC-link of the three-phase to single-phase solid-state transformer. The bidirectional SST was verified using simulations and the results show that the SST is able to maintain the balance between the three-phase system and the integrated renewable sources while providing bidirectional power flow with high efficiency and low Total Harmonic Distortion.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"369 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":"115986770","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

SACI 2023 Cover Page SACI 2023封面

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/saci58269.2023.10158558

引用次数: 0

Machine learning and fuzzy cognitive maps in a hybrid approach toward freeway on-ramp traffic control 机器学习和模糊认知地图在高速公路入口匝道交通控制中的混合方法

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158585

Mehran Amini, Miklós F. Hatwágner, L. Kóczy

{"title":"Machine learning and fuzzy cognitive maps in a hybrid approach toward freeway on-ramp traffic control","authors":"Mehran Amini, Miklós F. Hatwágner, L. Kóczy","doi":"10.1109/SACI58269.2023.10158585","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158585","url":null,"abstract":"The infrequent emergence of traffic congestion on freeways can result in the decline of the transportation system over time. Without the implementation of appropriate countermeasures, congestion can escalate, leading to unfavorable impacts on other aspects of the traffic network. As a result, there is a greater need for reliable and optimal traffic control. The goal of this research is to manage the number of vehicles entering the main freeway from the ramp merging area, in order to balance the demand and capacity to satisfy the maximum utilization of the freeway capacity. Despite extensive research into different ramp metering techniques, this study aims to utilize the fuzzy cognitive map as a macroscopic traffic flow model in conjunction with the Q-learning algorithm. This combination prevents freeway congestion and maintains optimal performance by keeping freeway density below a key threshold. The inherent uncertainty of traffic conditions is addressed through the application of reinforcement learning, which is constructed on the principles of the Markov decision process. This approach represents an exploration-exploitation trade-off, as implemented through the Q-learning algorithm. The proposed technique was evaluated for its efficacy in the regulation of freeway ramp metering in both controlled and uncontrolled simulations. The findings demonstrate a significant improvement in the control of the mainstream traffic flow.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"4 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":"116168301","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

Change Management Practices and the Impact of the Pandemic on Hungarian and Romanian SMEs1 改变管理做法和疫情对匈牙利和罗马尼亚中小企业的影响1

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158617

J. Varga, Ágnes Csiszárik-Kocsir, B. Bíró, Kinga Katalin Székely, Boróka-Júlia Bíró, Mónika Garai-Fodor

{"title":"Change Management Practices and the Impact of the Pandemic on Hungarian and Romanian SMEs1","authors":"J. Varga, Ágnes Csiszárik-Kocsir, B. Bíró, Kinga Katalin Székely, Boróka-Júlia Bíró, Mónika Garai-Fodor","doi":"10.1109/SACI58269.2023.10158617","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158617","url":null,"abstract":"The pandemic has had an impact in many areas, leading to significant changes in preferences, work organisation and quality of life in both consumer and B2B markets. The focus of the study is on small and medium sized enterprises (SMEs), which play a dominant role in the domestic B2B market, and in particular the mechanisms and processes of change management and its effectiveness. The primary data presented in the study are the results of quantitative research in the Hungarian and Romanian markets. In this context, the change management processes and practices of Hungarian and Romanian SMEs are compared to identify similarities and differences. The data collection took the form of a pre-tested, standardised online questionnaire with an arbitrary sampling. The results of the study shed light on the role of change management in the lives of SMEs, which techniques are considered effective in the two markets studied, and which tools and solutions can be adapted to other enterprises operating in different sociocultural contexts.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"47 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":"123147534","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

Model predictive fuzzy control in chemotherapy optimization 模型预测模糊控制在化疗优化中的应用

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158569

Tamás Dániel Szücs, Melánia Puskás, D. Drexler, L. Kovács

引用次数: 1

Determination of Rainfall Probability Using Response Surface Method 用响应面法确定降雨概率

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158556

Júlia Zombori, J. Lukács, R. Horváth

引用次数: 0

Perception of innovation and innovative projects at user level through the example of the Atala Prism project 通过Atala Prism项目的例子，在用户层面对创新和创新项目的认识

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158611

J. Varga, Ágnes Csiszárik-Kocsir

引用次数: 0