{"title":"Neural Predictive Tracking Control of Catamaran Model Sailboat for Situation Awareness Applications","authors":"I. Astrov, A. Udal","doi":"10.1109/INES49302.2020.9147126","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147126","url":null,"abstract":"Adding artificial intelligence into the control of autonomous vehicles has become a task of steeply rising importance in development of new transportation systems and cyber-physical systems for different applications like Industry 4.0 systems and attaining Situation Awareness (SA). In contrast to the significant growth in unmanned aerial vehicle research, the study autonomous waterborne craft has remained at a relatively modest level. Paper discusses methodology of model-based modeling and simulation in Simulink/MATLAB software environment of a catamaran sailboat moving under the wind influence. The functioning of catamaran sailboat together with predictive neural network controller has been simulated for movement at the different sailing angles and wind conditions. Results confirm the applicability and good quality of neural predictive control approach.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126533529","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}
C. Chioncel, M. Dordescu, Meda Alexandra Lazar, O. Tirian
{"title":"Wind turbine power and optimum energy, at variable wind speeds","authors":"C. Chioncel, M. Dordescu, Meda Alexandra Lazar, O. Tirian","doi":"10.1109/INES49302.2020.9147197","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147197","url":null,"abstract":"The purpose of the present paper is to determine the values of the real power of the WT, PWT-REAL, to observe, if the operation of the wind turbine is in the optimal area, in terms of captured wind energy. The real values of the wind turbine power are determined based on experimental data from a wind power plant. The value of the inertia moment, J, is calculated based on the real power values of the WT. Based on the values of mechanical angular velocity, MAV, and the power produced through the permanent magnet synchronous generator PMSG, we compute the real value of the WT power, which represents the basis of the recalculation of the mathematical model of WT, MM-WT. We determine the coordinates of the maximum power point, MPP, the maximum power, PWT-MAX and speed, nOPTIM as the values of the proportionality factors kO for optimal MAV, and kP factor for PWT-MAX are recalculated. The paper analyzes the evolution of the real powers of the WT in time. Knowing the real power of the WT, PWT-REAL, at the same wind speed, at different moments, we obtain useful information related to the optimal operation from the energy point of view.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"67 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132393323","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}
P. Kőrös, G. Szakallas, Péter Gulyás, Z. Pusztai, Zoltán Szeli, Ernő Horváth
{"title":"Self-Driving Vehicle Sensors from One-Seated Experimental to Road-legal Vehicle","authors":"P. Kőrös, G. Szakallas, Péter Gulyás, Z. Pusztai, Zoltán Szeli, Ernő Horváth","doi":"10.1109/INES49302.2020.9147181","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147181","url":null,"abstract":"Our university is determined to research and educate self-driving and autonomous technology. These two field require different necessities and attitude. In his paper we would like to summarize the migration from a road-legal vehicle to a self-developed, one-seated vehicle. We will describe the challenges of the migration process and of course how to overcome these challenges. The current paper also proposes recommendations and use-cases regarding self-driving vehicle sensory system.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114301672","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":"INES 2020 Copyright Page","authors":"","doi":"10.1109/ines49302.2020.9147122","DOIUrl":"https://doi.org/10.1109/ines49302.2020.9147122","url":null,"abstract":"","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133648638","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":"Device Integration Concepts in Laboratory Automation","authors":"Ádám Wolf, P. Galambos, K. Széll","doi":"10.1109/INES49302.2020.9147171","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147171","url":null,"abstract":"In recent years, industrial processes have been conquered by networked, communicating, and, in some cases, decision-making tools. This paradigm change is often referred to as Industry 4.0 by professionals in the economy, IT, and industry. Although somewhat lagging, the same process is accelerating in the field of laboratory automation as well. Automated devices and robotic solutions are present in this area since decades; however, extensive system integration has only gained importance recently. Automated laboratories utilize a large variety of devices that are becoming interconnected and are more and more often integrated into external control systems; however, standard communication protocols are often lacking. This paper discusses innovative software solutions in the context of a biopharmaceutical process development laboratory: firstly in a hierarchical distinction and then in the aspect of their function. Different approaches for system integration are discussed, including two specific implementation examples.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124937360","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":"INES 2020 Topics","authors":"","doi":"10.1109/ines49302.2020.9147198","DOIUrl":"https://doi.org/10.1109/ines49302.2020.9147198","url":null,"abstract":"","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130299617","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":"Near-lossless Image Compression with Parity Reduction","authors":"B. Koc, Z. Arnavut, S. Voronin, H. Kocak","doi":"10.1109/INES49302.2020.9147124","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147124","url":null,"abstract":"In our previous work, we introduced a lossless image compression algorithm (called BWIC_I) based on hierarchical prediction, inversion, and context-adaptive coding techniques. We showed that BWIC_I outperformed most commonly used standard color image compression algorithms, including JPEG in lossless mode and JPEG 2000, on a variety of well-known image data sets. In this study, we introduce a near-lossless image compression algorithm that essentially consists of parity reduction by dropping the least significant bit of pixel values of RGB color images and then compressing the resulting data with BWIC_I. The proposed algorithm provides a guaranteed minimum PSNR value. Moreover, it does not require a specialized encoding and decoding algorithm and can be utilized in conjunction with other generic image compression algorithms. The compression performance of the proposed technique is considerably better than JPEG and JPEG 2000, as demonstrated on the standard Kodak image set.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123777600","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":"INES 2020 Committees","authors":"","doi":"10.1109/ines49302.2020.9147192","DOIUrl":"https://doi.org/10.1109/ines49302.2020.9147192","url":null,"abstract":"","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131415823","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":"Linear quadratic control on a cascaded multitank system","authors":"K. Lengyel, E. Dulf, L. Kovács","doi":"10.1109/INES49302.2020.9147194","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147194","url":null,"abstract":"Optimal control is a key element in today’s control applications, being widely used in many different fields. The linear-quadratic regulator (LQR) is an optimal control method which is frequently used in optimal control applications because of its efficiency and simplicity. Having this in mind, the authors studied the level control of a cascaded multitank system using the LQR algorithm. The approach of the authors consists of a piecewise linearization method, converting this nonlinear problem into a linear one. Results show that LQR is a very efficient method for this type of system, yielding good performances with reduced controller effort.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124298078","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}
Nizam Kuxdorf-Alkirata, Gerrit Maus, Mustafa Gemci, D. Brückmann
{"title":"A passive fingerprinting approach for device-free surveillance and localization applications using a Bluetooth Low Energy infrastructure","authors":"Nizam Kuxdorf-Alkirata, Gerrit Maus, Mustafa Gemci, D. Brückmann","doi":"10.1109/INES49302.2020.9147184","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147184","url":null,"abstract":"Passive, device-free indoor localization is a research field that has drawn the attention of many researchers in the last years. Existing solutions that do not require an active device at the target, do not fulfil the requirements of reliability, cost and power efficiency and accurate localization at the same time. In order to tackle this challenge, we propose a passive, device-free fingerprinting method based on Bluetooth Low Energy. This method takes advantage of the highly configurable and fully connected mesh network of a custom sensor platform. The measurements of the Received Signal Strength values are carried out within a pre-defined network topology. It will be shown that the proposed passive fingerprinting approach does not need recalibration and its median localization error of 1.2 m is constant while using both old and updated calibration data. This is verified by extensive measurements using an experimental setup.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127157865","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}