2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献_第6页

Optimal Energetic Zone of Wind Turbine for Sinusoidal Wind Speed 正弦风速下风力机的最佳能区

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465552

Antonio-Marius-Flavius Luputi, M. Babescu, H. Ciocarlie

引用次数: 0

Reactive magnetron sputtering: an offline parameter identification method 反应磁控溅射:一种离线参数辨识方法

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465630

A. Kelemen, Róbert Rossi Madarász

引用次数: 0

Review of Industry 4.0 Security Challenges 工业4.0安全挑战回顾

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465613

Katalin Ferencz, J. Domokos, L. Kovács

引用次数: 7

Knowledge Estimation with HPV and Cervical Cancer Risk Factors Using Logistic Regression 运用Logistic回归对HPV和宫颈癌危险因素的知识估计

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465585

Ogbolu Melvin Omone, Alex Ugochukwu Gbenimachor, Levente Kovács, M. Kozlovszky

{"title":"Knowledge Estimation with HPV and Cervical Cancer Risk Factors Using Logistic Regression","authors":"Ogbolu Melvin Omone, Alex Ugochukwu Gbenimachor, Levente Kovács, M. Kozlovszky","doi":"10.1109/SACI51354.2021.9465585","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465585","url":null,"abstract":"In as much as the study of biomedicine remain important to life, the application of statistical models for the purpose of analyzing and understanding the context of biomedical dataset and all other epidemiological research fields is as well vital. Relating and selecting the best statistical model for any biomedical dataset for proper and accurate interpretation of analytical result from complex dataset defines the basis of biomedical applications of regression models and modelling. The purpose of this paper is to model the relationship between two/more dependent variables acquired from Human Papillomavirus (HPV) dataset with the use Logistic Regression (LR) model. This model can differentiate between participants who have a low or high probability of adequate knowledge, attitude, and perception (KAP) about HPV-infections and cervical cancer disease. The HPV dataset was collected with the use of an online developed Human Papillomavirus (HPV) Assessment Test (HAT) tool that was made accessible to voluntary participants. The HAT tool comprises of datasets that are related to HPV and cervical cancer (CC).","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129321594","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

Development of a Bioimpedance Measuring Plate for the Study of Hypoxic and Hyperoxic Conditions in Cell Cultures 用于研究细胞培养中缺氧和高氧条件的生物阻抗测量板的研制

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465616

Nora Filotas, Reka Helt, A. Hencz, Kristof Tenzlinger, Á. Odry, P. Odry, Z. Karádi, Zoltán Vízvári, Attila Tóth, Nina Gyorfi, A. Széchenyi, J. Pal

{"title":"Development of a Bioimpedance Measuring Plate for the Study of Hypoxic and Hyperoxic Conditions in Cell Cultures","authors":"Nora Filotas, Reka Helt, A. Hencz, Kristof Tenzlinger, Á. Odry, P. Odry, Z. Karádi, Zoltán Vízvári, Attila Tóth, Nina Gyorfi, A. Széchenyi, J. Pal","doi":"10.1109/SACI51354.2021.9465616","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465616","url":null,"abstract":"The oxygen plays an important role in the development and function of the human brain. In the central nervous system, a different neuron types can be very sensitive to varying concentrations of oxygen. Despite several cell biology researches, the time course of the effects of non-physiological oxygen concentrations, but especially high oxygen concentrations on the membrane of neurons, and the dynamics of damage are unknown. In the present study, with this in view, electrical impedance spectroscopy (EIS) measurements are carried out using a graphene-based self-developed four-electrode measurement and data collection process. Our goal was to produce a plate layout for our further experiments that could be used to examine cell cultures under hypoxic and hyperoxic conditions. The designs differ in the distance between the electrodes, we used three types of distances: 1 mm, 3 mm 5 mm, using one distance per plate. On the plate with 5 mm electrode spacing we found the ideal. From a measurement point of view, the plate with 5 mm electrode spacing was the most suitable. As we increased the distance, the size of the electrode surfaces decreased. It can be assumed that reducing the size of the electrodes did not negatively affect the measurement results. Our results can greatly contribute to better understand the process of cell membrane damage.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123835081","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 Heuristic Optimization in Bioimpedance Spectroscopy Evaluation 启发式优化在生物阻抗谱评价中的应用

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465617

Á. Odry, Zoltán Vízvári, Nina Gyorfi, L. Kovács, G. Eigner, Mihály Klincsik, Zoltan Sári, P. Odry, Attila Tóth

{"title":"Application of Heuristic Optimization in Bioimpedance Spectroscopy Evaluation","authors":"Á. Odry, Zoltán Vízvári, Nina Gyorfi, L. Kovács, G. Eigner, Mihály Klincsik, Zoltan Sári, P. Odry, Attila Tóth","doi":"10.1109/SACI51354.2021.9465617","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465617","url":null,"abstract":"As material analysis method, the bioimpedance spectroscopy (BIS) is an effective technique to obtain material characteristics in many biological applications. Among the BIS models, the single-dispersion RC model and the Cole-Cole model constitute the fundamental mathematical descriptions for BIS measurements. These models enable both the evaluation of impedance spectrum and derivation of core parameters that describe biological processes. This paper presents the application of the particle swarm optimization (PSO), as a flexible heuristic optimization approach, to both derive the model parameters and characterize biological media based on BIS measurements. First, the fundamental modeling approaches are addressed and the core parameters are discussed. Moreover, the employed electrical impedance measuring instrument and conducted experiments are presented. Then, a multi-objective fitness function is established for the usage of the PSO algorithm for model parameter optimization. The paper demonstrates two case studies, namely, BIS measurements are performed to monitor i) liver fat and characterize its state with an optimized Cole-Cole model and ii) cell culture growth and characterize its state with an optimized single-dispersion RC model. It is shown with experimental results that PSO is an effective and robust tool to fit these biological models to BIS measurements. Additionally, the experimental results also highlight that the cell culture growth process cannot be modeled properly with the single-dispersion RC model in high frequency ranges. This experimental observation establishes the demand for the derivation of a more sophisticated mathematical model for the comprehensive characterization of cell culture growth in wide frequency spectrum.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126118923","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

Evaluation of GPU Virtualisation Approaches for Machine Learning Enhanced Debugging of Cloud Orchestration GPU虚拟化方法对机器学习的评估增强云编排的调试

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465570

M. Emődi, J. Kovács, R. Lovas, S. Szénási

引用次数: 0

Determination of extreme values in autonomous driving based on multifractals and dynamic scaling 基于多重分形和动态标度的自动驾驶极值确定

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465582

J. Z. Szabó, P. Bakucz

引用次数: 1

Automating Glucose Control in Type 1 Diabetes : Plenary Talk 1型糖尿病血糖控制自动化:全体会议

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465577

J. Bondia

{"title":"Automating Glucose Control in Type 1 Diabetes : Plenary Talk","authors":"J. Bondia","doi":"10.1109/SACI51354.2021.9465577","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465577","url":null,"abstract":"Type 1 diabetes (T1D) is a chronic metabolic disease characterised by an autoimmune destruction of the beta cells in the pancreas, responsible of insulin secretion which promotes glucose transport into the cells. The resulting absolute insulin deficiency results in high blood glucose levels (hyperglycaemia). Therefore, people with T1D require exogenous delivery of insulin in order to survive. Sustained elevated glucose levels can lead to long-term complications (retinopathy, nephropathy, heart disease), which place a heavy burden to the healthcare system. Due to the complexity of glucoseinsulin metabolism, achieving good glucose control is often a very difficult task. The development of continuous glucose monitoring (CGM) have opened the door to the development of automatic insulin delivery systems, the so-called artificial pancreas (AP). In the past 10 years there has been an intensive research effort from different players in the artificial pancreas development, which has translated into a first system reaching the market in 2017, although patient intervention for meal control is still needed (this is referred as 'hybrid artificial pancreas'). This has been thanks to important contributions from modelling and control engineering, in combination with technological and pharmacological achievements.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130343553","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

Preparation and Validation of Self-developed Bioimpedance Electrode Array for Measurement of Tumor Cells 自行研制的肿瘤细胞测量生物阻抗电极阵列的制备与验证

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465598

Lili Nadasdi, Gergo Maczko, Nina Gyorfi, Kristof Tenzlinger, Á. Odry, P. Odry, A. Széchenyi, Z. Karádi, Jozsef Pal, Attila Tóth, Zoltán Vízvári

引用次数: 0