A. Jock, Anietie Ndarake Okon, U. H. Offor, Festus Thomas, Edmond Okwudilichukwu Agbanaje
{"title":"Adsorption of Nickel Ions from Petroleum Wastewater onto Calcined Kaolin Clay: Isotherm, Kinetic and Thermodynamic Studies","authors":"A. Jock, Anietie Ndarake Okon, U. H. Offor, Festus Thomas, Edmond Okwudilichukwu Agbanaje","doi":"10.33927/hjic-2020-26","DOIUrl":"https://doi.org/10.33927/hjic-2020-26","url":null,"abstract":"","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47665494","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":"Vibration Generator Device Based on Industrial Vibrators","authors":"Péter Decsi, I. Szalai","doi":"10.33927/hjic-2020-10","DOIUrl":"https://doi.org/10.33927/hjic-2020-10","url":null,"abstract":"A low-cost vibration generator device based on industrial vibrators was designed. The control software was implemented in LabVIEW Environment. The device is able to generate an oscillating force of 8 kN and an amplitude of up to 4 mm at a frequency of 50 Hz to model low-amplitude, high-frequency vehicle vibrations. A National Instruments myRIO device was responsible for data acquisition, with which a signal of a piezoelectric accelerometer was detected. The test results show that the device is able to generate a sinusoidal harmonic acceleration.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41464833","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":"Identification of the material properties of an 18650 Li-ion battery for improving the electrochemical model used in cell testing","authors":"Bence Csomós, D. Fodor","doi":"10.33927/hjic-2020-06","DOIUrl":"https://doi.org/10.33927/hjic-2020-06","url":null,"abstract":"The aim of this paper is to present an application of the generalized Warburg element and Constant Phase Element (CPE) for non-Fickian diffusion modeling. These distributed elements are intended to provide a better fit of low-frequency impedance data than the standard finite-length Warburg element in the case of most batteries. In addition, the current study demonstrates the ambiguity of the finite-length Warburg element if impedance data is insufficient within the verylow-frequency impedance spectrum. In order to select the appropriate Randles circuit for non-Fickian diffusion modeling, several configurations have been investigated. Based on the best fit of impedance data, the State-of-Charge (SoC) dependency of the Randles circuit parameters has also been analyzed. This study concerns a Samsung ICR18650-26F 2600 mAh battery cell which was subjected to Electrochemical Impedance Spectroscopy (EIS) measurements between 10 mHz and 100 kHz as a function of SoC. The results were plotted and compared in the form of Nyquist plots. The Randles circuit parameters such as the resistances Rs and Rct, double-layer Cdl, leaky capacitance CPE and Warburg coefficients were estimated using ZView software. The present paper shows that CPE – and its QPE form – is a recommended choice to yield the best fit in terms of non-Fickian diffusion impedance. In addition, using CPE is a better alternative to avoid problems with initial values and multiple local solutions, which may exist in the case of the Warburg element. The resultant Randles circuit parameters and their SoC characteristics can be effectively used in further electrochemical modeling.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43858289","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":"Challenges of Localization Algorithms for Autonomous Driving","authors":"H. Medve, D. Fodor","doi":"10.33927/hjic-2020-07","DOIUrl":"https://doi.org/10.33927/hjic-2020-07","url":null,"abstract":"One could easily believe that the technology surrounding us is already easily capable of determining the current location of a vehicle. Whilst many devices, technologies, mathematical models and methods are available in the automotive world, the complexity of the localization problem still cannot be underestimated. The expectation is to determine in real time with a high degree of accuracy the location of a vehicle in order to make correct autonomous decisions and avoid dangerous and potentially damaging situations. Various research directions have been undertaken since the birth of autonomous driving from the well-known satellite navigation-based systems that rely on offline maps to the more sophisticated approaches that use odometry and existing sensor data using sensor fusion. The aim of the current work is to review what has been achieved so far in this field and the challenges ahead, e.g. the need for a change in paradigm as today's global positioning systems are not intended for machines but humans and are based on the abstraction of human thinking and human decision-making processes.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48651590","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":"Nonlinear Magnetic Properties of Magnetic Fluids for Automotive Applications","authors":"B. Horváth, I. Szalai","doi":"10.33927/hjic-2020-09","DOIUrl":"https://doi.org/10.33927/hjic-2020-09","url":null,"abstract":"The external magnetic field required to activate a magnetic fluid in an industrial application is sufficiently large that magnetization is no longer a linear function of the external field strength, i.e. magnetic fluids exhibit nonlinear characteristics. The aim of our research was to develop a measuring system which is capable of determining the nonlinear AC susceptibility of magnetic fluids at discrete frequencies and in the presence of a high-intensity driving magnetic field. The measurement of susceptibility is based on the determination of the change in frequency of a low-intensity field, which is generated by an LC oscillator. The application of sinusoidal excitation to the material results in a variation in the susceptibility that modulates the frequency of the measured low-intensity field and in the appearance of higher-order harmonics of the driving field. The higher-order components of the nonlinear AC susceptibility are extracted from the measured response by Fourier analysis. By applying the measuring system, the nonlinear susceptibility of water-based ferrofluids (Ferrotec’s EMG 700) and its dependence on the magnetic field strength were investigated.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47868726","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":"XBRL utilization as an automated industry analysis","authors":"A. Suta, Á. Tóth","doi":"10.33927/hjic-2020-19","DOIUrl":"https://doi.org/10.33927/hjic-2020-19","url":null,"abstract":"In the last two decades, electronic financial reporting went through a significant evolution, where to date, eXtensible Business Reporting Language (XBRL) has become the leading platform that is already obligatory for listed entities in the United States and was also legislated in the European Union from January 1, 2020. The primary objective of this research was to review the US-listed companies’ 2018 quarterly reports. The study generated an automated industry analysis for the automotive industry from the aspect of four main financial item categories as an alternative to statistics-based, man-ually prepared industry analyses. Statistical tests were carried out between two industrial classification methodologies, the securities’ industry identification marks and the reported Standard Industrial Classification (SIC) codes. The results showed a significant difference between the industry classification methodologies. Automated reporting was more pre-cise with regard to the identification of the listed and reporting entities, however, the data fields of SIC codes within the XBRL data set provided an inaccurate classification, which is a potential area of improvement along with additional recommendations outlined in the Conclusion.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43562061","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 the approximation methods for time-delay systems: application to multi-agent systems","authors":"Áron Fehér, L. Márton","doi":"10.33927/HJIC-2019-11","DOIUrl":"https://doi.org/10.33927/HJIC-2019-11","url":null,"abstract":"This paper presents a review of dominant pole and model-approximation algorithms for delayed systems that can be applied to multi-agent systems. A novel algorithm is proposed to determine an approximation method for multi-agent systems in the platoon configuration with a communication delay. Simulations are presented to show the applicability of the proposed algorithm.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44301400","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":"Aggregation of Heterogeneous Flexibility Resources Providing Services for System Operators and the Market Participants","authors":"I. Balázs, A. Fodor, A. Magyar","doi":"10.33927/HJIC-2019-10","DOIUrl":"https://doi.org/10.33927/HJIC-2019-10","url":null,"abstract":"Power systems characterized by large, centralized generation sources and the typical flow of energy from the transmission grid to the distribution grid towards consumers are evolving. The increasing penetration of intermittent and distributed renewable energy generation is forcing system operators to increase the volume of balancing capabilities and procure flexibility services at the distribution grid level that must be supported by the aggregation of small-scale resources connected at the distribution grid. This paper suggests an aggregator framework that provides services for both operators of transmission and distribution systems while optimizes its portfolio to perform on wholesale energy trading markets too. Overlaying phases of multi-period optimization runs are proposed that incorporate stochastic renewable energy generation as well as load forecasts and, moreover, the continuously changing business context while enabling cooperation between optimization phases throughout the business process.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46662310","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}
Roland Balint, A. Fodor, István Szalkai, Zsófia Szalkai, A. Magyar
{"title":"Modeling and Calculation of the Global Solar Irradiance on Slopes","authors":"Roland Balint, A. Fodor, István Szalkai, Zsófia Szalkai, A. Magyar","doi":"10.33927/HJIC-2019-09","DOIUrl":"https://doi.org/10.33927/HJIC-2019-09","url":null,"abstract":"The first step with regard to a simple model of a Photovoltaic Power Plant is developed in this paper based on astronomical and engineering principles. A solar irradiance model is presented in this paper that can be used to forecast the solar energy a surface on Earth is exposed to. The obtained model is verified against engineering expectations. The developed model can serve as a basis for forecasting the power of solar energy.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47033401","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":"Automated Labeling Process for Unknown Images in an open-world Scenario","authors":"Dávid Papp, G. Szűcs","doi":"10.33927/HJIC-2019-06","DOIUrl":"https://doi.org/10.33927/HJIC-2019-06","url":null,"abstract":"Most of the recognition systems presume a controlled, well-defined research setting, where all possible classes that can appear during a test are known a priori. This environment is referred to as the ``closed-world'' model, while the ``open-world'' model implies that unknown classes can be incorporated into a recognition algorithm whilst being predicted. Therefore, recognition systems that operate in the real world have to deal with these unknown categories. Our objective was not only to detect data that originate from categories unseen during training, but to identify similarities between pieces of unknown data and then form new classes by automatically labeling them. Our Double Probability Model was extended by an image clustering algorithm, in which Kernel K-means was used. A new procedure, namely the Cluster Classification algorithm for the detection of unknowns and automated labeling, is proposed. These approaches facilitate the transition from open-set recognition to an open-world problem. The Fisher Vector (FV) was used for the mathematical representation of the images and then a Support Vector Machine introduced as a classifier. The measurement of similarity was based on the FV representations. Experiments were conducted on the Caltech101 and Caltech256 datasets of images and the Rand Index was evaluated over the unknown data. The results showed that our proposed Cluster Classification algorithm was able to yield almost the same Rand Index, even though the number of unknown categories increased.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43448024","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}