2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献

{"title":"Economic Cohesion Perspectives of the EU member Regions: A Non-parametric Approach","authors":"Ferenc Tolner, Balázs Barta, G. Eigner","doi":"10.1109/SACI55618.2022.9919533","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919533","url":null,"abstract":"The question of economic convergence within the European Union enjoys enormous popularity and great interests are vested in forming the appropriate policies in order to enable a balanced and fair development of the member states and their regions of highly different historic- and economic background. Scientific literature approaches the topic from several aspects and argues about the results. Depending on the investigated time interval and spatial location contradictory conclusions were drawn on cohesion tendencies and on the success of EU cohesion policies. In the present study the non-parametric Mann-Whitney U-test and Wilcoxon signed rank test is applied on GDP- and NDI per capita values in order to investigate cohesion tendencies among member states and their regions that joined the EU before 2004 and afterwards.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125604649","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}

{"title":"Comparison of Various Noise Filtering Techniques in Strongly Nonlinear Adaptive Control","authors":"H. Issa, J. Tar","doi":"10.1109/SACI55618.2022.9919435","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919435","url":null,"abstract":"In control applications the use of observed noisy and sometimes incomplete sets of observations makes a general problem arise that traditionally is tackled by the use of various Kalman filters. The main point behind these filters is to provide some “optimized” output based on the assumption that the measurement noises are of Gaussian nature and that the subsequent measurements of the same variables are statistically independent. The original concept was developed for linear system model, the later variants were extended to tackle nonlinear models, too, since the nonlinearities make the observation and filtering problems even more significant than in the case of linear systems. The Fixed Point Operation-based adaptive controllers are especially noise-sensitive since they need the feedback of higher order derivative errors feedback than the usual Resolved Acceleration Rate controllers. For supporting them simpler noise filtering techniques were developed than the Kalman filters since no filter optimization issues were considered by them. In the resent submission the operation of various noise filtering methods are compared with each other in this special control applied for the strongly nonlinear van der Pol oscillator. The simulations confirm that instead of the use of complicated Kalman filter the simpler ones seem to be applicable as well.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115850199","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}

{"title":"Predicting the Behaviour of Advanced High-Strength Steels by Mathematical Modelling","authors":"C. A. Salazar, J. Ramírez-Ramírez, F. A. Pérez-González, Miguel A. Quiñones, L.E. Hernández, I. Felde, O. Zapata-Hernández, N. Garza-Montes-de-Oca, R. Colás","doi":"10.1109/SACI55618.2022.9919535","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919535","url":null,"abstract":"Advanced high-strength steels are sought after for the manufacture of automotive components due to their enhanced resistance and ductility achieved by complex microstructures composed of a variety of hard and soft components obtained by tailoring their chemical composition and processing conditions. But such mixture of structures may be prone to failure during the manufacture of structural components. Therefore, the use of mathematical modelling offers the opportunity to get a better understanding of the phenomena taking place during production of the steels and while being manufactured. This work presents a series of analyses carried out to determine the causes behind the failure of various advanced high-strength steels during forming with the demonstration of how mathematical models were used to present alternatives and solutions to avoid incidents while processing.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121174140","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}

{"title":"Quality assessment of clinical trials with artificial intelligence based chatbots in healthcare: points to consider in the protocol development for a systematic literature review","authors":"J. Czere, L. Gulácsi, Z. Zrubka, M. Péntek","doi":"10.1109/SACI55618.2022.9919543","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919543","url":null,"abstract":"Artificial intelligence (AI) based chatbots are used in healthcare either as therapeutic agents or tools to support different healthcare functions. Evidence behind their effectiveness and safety have to be proved by scientifically sound clinical trials. Systematic literature review (SLR) is a scientific method that allows to identify, select and critically apprise available empirical evidence. Development of the research protocol for an SLR is a challenging task in which research goals are defined and translated into a literature search and analysis plan via an iterative work. In this paper we present the main steps of the development of our research protocol for an SLR focusing on the reporting quality of clinical trials involving AI based chatbots in healthcare. We introduce how the specific goal and protocol of our SLR work was developed. We draw attention to some methods and sources that deserve consideration in SLRs dealing with AI based health technologies.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121101216","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}

{"title":"Energy Consumption Analysis for Raspberry Pi Based Smart Mirrors and Proposed Solutions","authors":"Alexandru Rat, C. Stângaciu, M. Micea","doi":"10.1109/SACI55618.2022.9919550","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919550","url":null,"abstract":"This article presents an analysis regarding energy consumption of a type of smart devices, namely smart mirrors using a reference implementation based on Raspberry Pi and providing features like Internet connectivity, access to different applications, voice command and geolocation. This paper includes a comparative study between different software implementations and configurations proposed for the smart mirror.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121302674","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}

{"title":"Implementing ERP through the Use of Mobile Technologies: A Case Study","authors":"Daniyar Nurmukhamet, A. Tick","doi":"10.1109/SACI55618.2022.9919588","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919588","url":null,"abstract":"Ion Mobility is a small tech startup company that has not been utilizing any software for asset and inventory management prior to the introduction of ERPNext due to the small size of the company that allowed for personal communication within the company and ensure keeping track of asset movements. As the company is continuously evolving and expanding, it is facing a number of asset and inventory management difficulties. In order to keep up with the accelerated growth of Ion Mobility it has decided to introduce asset and inventory management system and has chosen to solve problem by ERPNext implementation. The case study takes a look at the advantages of the open-source ERP system and describes how the company is approaching its implementation of it. The information that describes the implementation of the system in the company was collected by one of the authors who is the software engineer at the company working on the ERP itself. It was found out, that although it offers a cost-effective solution to inventory tracking, it requires significant efforts from the company and engineers to implement and adopt the system compared to mature systems such as SAP. The implementation and deployment of a portable and mobile ERP systems can contribute to the success of a company since it allows flexible and agile reaction to the challenges of today's changing business environment.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123509","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}

{"title":"Research on Data Sufficiency and Model Validity toward AI for Critical Systems","authors":"Shintaro Hashimoto, Haruhiko Higuchi, N. Ishihama","doi":"10.1109/SACI55618.2022.9919529","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919529","url":null,"abstract":"Deep learning is used in many fields, but it has not been used in critical systems because testing that it works correctly is difficult. There are no comprehensive methods to ensure deep learning quality. Our research introduced effective test methods for deep learning in terms of the data sufficiency and model validity based on user requirements. To determine the data sufficiency, we proposed a method using the new concept of extrapolation and interpolation to classify out-of-domain uncertainty, domain-shift uncertainty, in-domain uncertainty, and data uncertainty. This method allows us to indicate what training data are missing. This paper proposes methods to visualize a basis for the model's decisions to determine the model's validity. We explain how to visualize the region of interest in an image and explain the basis for deep learning decisions from only human-understandable explanations using the combination of intermediate output and a decision tree.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115379683","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}

{"title":"Theoretical, Numerical and Experimental Investigations of Overhang Effect on a Cutting Tool Natural Frequencies","authors":"Claudiu Voica, G. Belgiu, Ioan Calin Gozman-Pop, Robert Parmanche, Andrei Bosancu, L. Bereteu","doi":"10.1109/SACI55618.2022.9919523","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919523","url":null,"abstract":"In the turning process, the cutting forces acting on the workpiece become reaction forces on the cutting tool. Due to the elasticity of the cutting tool, the forces acting on it will cause its deformation and its removal from the surface to be processed. The forces being variable in time and traces left on the surface of the piece, by the cutting forces, will have different depths. The values of these forces depend on the rotation speed of the chuck, the radial cutting depth, the axial cutting depth, the feed rate, but also on the mechanical characteristics of the turning material. It is known that in the turning process the best results are obtained for small values of overhang. The overhang is defined as the length of the cutting tool relative to the end of the support. For certain machining given by the workpiece geometry, but especially in the case of inner turning, the overhang may have a longer length. This involves increasing the vibration amplitudes of the cutting tool. By keeping the overhang to a minimum, low vibrations, well-finished surfaces, increasing the life of the cutting tool, increasing the processing and feed speed and, consequently, increasing productivity can be obtained. These are the reasons why this paper aims at the analytical, numerical and experimental analysis of the natural frequencies of a cutting instrument in relation to its overhang. From an analytical point of view, the cutting tool will be considered as Euler Bernoulli beam with a square cross section. The Finite Element Method (FEM) coupled with the Modal Analysis (MA) from the ANSYS module was used for the numerical analysis. These gave both natural modes and corresponding frequencies. Experimentally, the analysis of a vibration signal obtained by applying a mechanical impulse on the cutting tool is made. The acquisition of the signal is done by means of Laser Doppler Vibrometer (LDV), and the processing isgiven by software based on the Pronv Series Method (PSM).","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121275300","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}

{"title":"Validation of a Limit Ellipsis Controller for Rescue Drones","authors":"Bálint Varga, C. Doer, G. Trommer, S. Hohmann","doi":"10.1109/SACI55618.2022.9919440","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919440","url":null,"abstract":"In recent years, more and more robotic systems have been supporting rescue forces in their missions. This paper presents the control algorithm and its application of an unmanned areal vehicle (UAV), which can support emergency personnel in their work. An adaption of the so-called Limit Ellipsis Controller (LEC) for indoor UAV is proposed. This adaptation enables the LEC to be used in semi-structured environments with static and dynamic obstacles. The main benefit of the LEC is that it can prevent deadlocks caused by other methods in complex environments. Furthermore, the LEC function is implemented on an experimental UAV system and tested in various environments. The proposed technical system enables exploration of a building by a semi-autonomous UAV, saving valuable rescue time. The UAV can fly into the building and explore the interior without collision. The results show that the proposed controller can adequately avoid local minima, guide the UAV to the desired target, and provide essential information for the rescue team in real demonstration scenarios.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123372909","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}

{"title":"Signal Preprocessing and Artifact Removal for Brain-Computer Interfaces","authors":"Miruna-Maria Damian, R. Precup","doi":"10.1109/SACI55618.2022.9919582","DOIUrl":"https://doi.org/10.1109/SACI55618.2022.9919582","url":null,"abstract":"Brain-Computer Interfaces (BCIs) have become an important research field in the past decades. Interest has grown in this area given the tremendous potential of BCI systems of restoring, replacing, improving, enhancing and supplementing the activity of the central nervous system. Moving from laboratory refined circumstances to portable neuroprosthetics poses great challenges on signal processing and artifact removal. This paper discusses some methods used in signal preparation and preprocessing and also some techniques for artifact removal from electroencephalogram-recorded brain activity.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122392243","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}