Pub Date : 2017-01-26DOI: 10.1109/SAMI.2017.7880350
M. Gallimore, C. Bingham, M. Riley
The development of accurate fault detection and diagnosis (FDD) techniques are an important aspect of monitoring system health, whether it be an industrial machine or human system. In FDD systems where real-time or mobile monitoring is required there is a need to minimise computational overhead whilst maintaining detection and diagnosis accuracy. Symbolic Aggregate Approximation (SAX) is one such method, whereby reduced representations of signals are used to create symbolic representations for similarity search. Data reduction is achieved through application of the Piecewise Aggregate Approximation (PAA) algorithm. However, this can often lead to the loss of key information characteristics resulting in misclassification of signal types and a high risk of false alarms. This paper proposes a novel methodology based on SAX for generating more accurate symbolic representations, called Self-Organising Symbolic Aggregate Approximation (SOSAX). Data reduction is achieved through the application of an optimised PAA algorithm, Self-Organising Piecewise Aggregate Approximation (SOPAA). The approach is validated through the classification of electrocardiogram (ECG) signals where it is shown to outperform standard SAX in terms of inter-class separation and intra-class distance of signal types.
{"title":"Self-organising symbolic aggregate approximation for real-time fault detection and diagnosis in transient dynamic systems","authors":"M. Gallimore, C. Bingham, M. Riley","doi":"10.1109/SAMI.2017.7880350","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880350","url":null,"abstract":"The development of accurate fault detection and diagnosis (FDD) techniques are an important aspect of monitoring system health, whether it be an industrial machine or human system. In FDD systems where real-time or mobile monitoring is required there is a need to minimise computational overhead whilst maintaining detection and diagnosis accuracy. Symbolic Aggregate Approximation (SAX) is one such method, whereby reduced representations of signals are used to create symbolic representations for similarity search. Data reduction is achieved through application of the Piecewise Aggregate Approximation (PAA) algorithm. However, this can often lead to the loss of key information characteristics resulting in misclassification of signal types and a high risk of false alarms. This paper proposes a novel methodology based on SAX for generating more accurate symbolic representations, called Self-Organising Symbolic Aggregate Approximation (SOSAX). Data reduction is achieved through the application of an optimised PAA algorithm, Self-Organising Piecewise Aggregate Approximation (SOPAA). The approach is validated through the classification of electrocardiogram (ECG) signals where it is shown to outperform standard SAX in terms of inter-class separation and intra-class distance of signal types.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125827338","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880343
L. Spendla, M. Kebísek, P. Tanuška, Lukas Hrcka
In the proposed paper, we described the approach to build Hadoop based knowledge discovery platform. The proposal focuses on predictive maintenance of production systems, including manufacturing machines and tools, to increase the production process quality. The proposal utilises production data storage, built on Hadoop framework and NoSQL systems, integrated into traditional data warehouse discovery platform, preserving the well proven and robust data warehouse decision support and analytic tools. The initial proof of concept case study is included in the proposed paper.
{"title":"Concept of predictive maintenance of production systems in accordance with industry 4.0","authors":"L. Spendla, M. Kebísek, P. Tanuška, Lukas Hrcka","doi":"10.1109/SAMI.2017.7880343","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880343","url":null,"abstract":"In the proposed paper, we described the approach to build Hadoop based knowledge discovery platform. The proposal focuses on predictive maintenance of production systems, including manufacturing machines and tools, to increase the production process quality. The proposal utilises production data storage, built on Hadoop framework and NoSQL systems, integrated into traditional data warehouse discovery platform, preserving the well proven and robust data warehouse decision support and analytic tools. The initial proof of concept case study is included in the proposed paper.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126062138","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880361
Gergely Magyar, P. Sinčák, Ján Magyar, Kaori Yoshida, A. Manzi, F. Cavallo
This paper presents our cloud-based teleoperation platform, called CoWoOZ — ClOud-based Wizard of OZ. It describes similar systems, such as Robot Management System (RMS), OpenWoZ, CoWoOZ's predecessor Telescope and the first version of the discussed platform. A special emphasis is given to the description of new functionalities added to the system, e.g. scenario management, custom script builder, client application, etc. The paper also contains a comparison of these systems, which can help researchers to choose the right one for their work.
本文介绍了基于云的远程操作平台，称为CoWoOZ - cloud-based Wizard of OZ，描述了类似的系统，如机器人管理系统(RMS)、OpenWoZ、CoWoOZ的前身Telescope和所讨论平台的第一版。特别强调的是对添加到系统中的新功能的描述，例如场景管理、自定义脚本构建器、客户端应用程序等。这篇论文还包含了这些系统的比较，这可以帮助研究人员为他们的工作选择合适的系统。
{"title":"CoWoOZ — A cloud-based teleoperation platform for social robotics","authors":"Gergely Magyar, P. Sinčák, Ján Magyar, Kaori Yoshida, A. Manzi, F. Cavallo","doi":"10.1109/SAMI.2017.7880361","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880361","url":null,"abstract":"This paper presents our cloud-based teleoperation platform, called CoWoOZ — ClOud-based Wizard of OZ. It describes similar systems, such as Robot Management System (RMS), OpenWoZ, CoWoOZ's predecessor Telescope and the first version of the discussed platform. A special emphasis is given to the description of new functionalities added to the system, e.g. scenario management, custom script builder, client application, etc. The paper also contains a comparison of these systems, which can help researchers to choose the right one for their work.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123563871","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880338
Norbert Ferenčík, J. Jadlovský, M. Kopčík, I. Zolotová
We summarize the design and implementation of a laboratory model "the Elevator" and its control. We focus on the hardware and software components and on the process of design, actual implementation and application control. The mentioned model is located at the Technical University in Kosice, Department of Cybernetics and Artificial Intelligence at the Center of Modern Control Techniques and Industrial Informatics. The model is used for education offering the possibility to implement various algorithms and programs in ladder diagrams.
{"title":"PI control of laboratory model elevator via ladder logic in PLC","authors":"Norbert Ferenčík, J. Jadlovský, M. Kopčík, I. Zolotová","doi":"10.1109/SAMI.2017.7880338","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880338","url":null,"abstract":"We summarize the design and implementation of a laboratory model \"the Elevator\" and its control. We focus on the hardware and software components and on the process of design, actual implementation and application control. The mentioned model is located at the Technical University in Kosice, Department of Cybernetics and Artificial Intelligence at the Center of Modern Control Techniques and Industrial Informatics. The model is used for education offering the possibility to implement various algorithms and programs in ladder diagrams.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122236147","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880319
István Golarits, Máté Tóth, Z. Vámossy
The computer-based cell and tissue analysis has always been an active area of healthcare informatics, but the popularity has greatly increased since the evolution of hardware. The process began about a decade ago, and since then it has become a key research area in medical informatics. Over the years various approaches were attempted by the developers, these are mostly based on the properties of the images, for example colors, shapes, contours and textures, and conclusions are drawn from these parameters. This topic gained popularity because medical imaging devices became more easily accessible, and they are able to produce far better quality images. The article describes a prototype system that may accelerate the detection of the signs of oesophagus adenocarcinoma, thus helping the task of pathologists and specialist in the field of diagnosis. The presence of Barrett Metaplasia greatly increases the risk of developing adenocarcinoma, therefore the developed software looks for the signs of this disease. In order to accomplish this goal, the developed image processing system evaluates tissue images produced by virtual microscopes.
{"title":"Detection of oesophagus tissue changes using image processing","authors":"István Golarits, Máté Tóth, Z. Vámossy","doi":"10.1109/SAMI.2017.7880319","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880319","url":null,"abstract":"The computer-based cell and tissue analysis has always been an active area of healthcare informatics, but the popularity has greatly increased since the evolution of hardware. The process began about a decade ago, and since then it has become a key research area in medical informatics. Over the years various approaches were attempted by the developers, these are mostly based on the properties of the images, for example colors, shapes, contours and textures, and conclusions are drawn from these parameters. This topic gained popularity because medical imaging devices became more easily accessible, and they are able to produce far better quality images. The article describes a prototype system that may accelerate the detection of the signs of oesophagus adenocarcinoma, thus helping the task of pathologists and specialist in the field of diagnosis. The presence of Barrett Metaplasia greatly increases the risk of developing adenocarcinoma, therefore the developed software looks for the signs of this disease. In order to accomplish this goal, the developed image processing system evaluates tissue images produced by virtual microscopes.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"33 7-8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116470596","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880295
B. Madoš, N. Ádám, A. Baláz, Katarína Šinaľová
The paper describes Computer Aided Software Engineering (CASE) tool, that supports programming of the experimental multi-core tile based System-on-a-Chip (SoC). SoC comprises cores, which are based on the data flow computation control principle. Proposed CASE tool allows creation of the program code in graphical form using Data Flow Graph (DFG) or in text representation using assembly language or machine code. Automatic transformations between those representations are supported. CASE tool brings sequential, mask based and global multi-mapping of the program code, which was introduced in our previous research. Another output lies in introduction of altered assembly language and machine code that allow multi-mapping of the program code on the instructions level. The aim of the solution lies in optimization of the program load phase in multi-core microprocessors that comprise tens or potentially hundreds of cores.
{"title":"The CASE tool for programming of the multi-core System-on-a-Chip with the data flow computation control","authors":"B. Madoš, N. Ádám, A. Baláz, Katarína Šinaľová","doi":"10.1109/SAMI.2017.7880295","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880295","url":null,"abstract":"The paper describes Computer Aided Software Engineering (CASE) tool, that supports programming of the experimental multi-core tile based System-on-a-Chip (SoC). SoC comprises cores, which are based on the data flow computation control principle. Proposed CASE tool allows creation of the program code in graphical form using Data Flow Graph (DFG) or in text representation using assembly language or machine code. Automatic transformations between those representations are supported. CASE tool brings sequential, mask based and global multi-mapping of the program code, which was introduced in our previous research. Another output lies in introduction of altered assembly language and machine code that allow multi-mapping of the program code on the instructions level. The aim of the solution lies in optimization of the program load phase in multi-core microprocessors that comprise tens or potentially hundreds of cores.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125774617","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880311
Judith Jakob, J. Tick
In comparison with the assistance of blind and visually impaired people, more research is being conducted in the area of advanced driver assistance systems. Motivated by this fact, we aim at using the advances in camera based driver assistance for the assistance of blind and visually impaired people by developing a concept for the transfer of object detection algorithms in the traffic domain. In this paper, we derive the approach of a transfer concept, give an overview of first findings for the algorithm transfer gained by the exemplary adaptation of a crosswalk detection algorithm and present a preliminary plan of our future work.
{"title":"Concept for transfer of driver assistance algorithms for blind and visually impaired people","authors":"Judith Jakob, J. Tick","doi":"10.1109/SAMI.2017.7880311","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880311","url":null,"abstract":"In comparison with the assistance of blind and visually impaired people, more research is being conducted in the area of advanced driver assistance systems. Motivated by this fact, we aim at using the advances in camera based driver assistance for the assistance of blind and visually impaired people by developing a concept for the transfer of object detection algorithms in the traffic domain. In this paper, we derive the approach of a transfer concept, give an overview of first findings for the algorithm transfer gained by the exemplary adaptation of a crosswalk detection algorithm and present a preliminary plan of our future work.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115937644","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880334
V. Simák, M. Gregor, M. Hruboš, Dušan Nemec, J. Hrbček
This paper presents an overview of some the issues concerning Lethal Autonomous Weapon Systems (LAWS), mostly with respect to the current state-of-the-art in the concerned areas of technology, but also — albeit to a somewhat lesser degree — in a more general context that will, perhaps, not be so easily invalidated by technological progress. When all is considered, the paper attempts to answer the question: "Why artificial intelligence should not be allowed to make decisions about killing human beings?" The authors are by no means refusing non-lethal autonomous systems, or remotely controlled (non-autonomous) weapons. They merely point to the fact that "lethal" and "autonomous" is not an acceptable combination.
{"title":"Why Lethal autonomous weapon systems are unacceptable","authors":"V. Simák, M. Gregor, M. Hruboš, Dušan Nemec, J. Hrbček","doi":"10.1109/SAMI.2017.7880334","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880334","url":null,"abstract":"This paper presents an overview of some the issues concerning Lethal Autonomous Weapon Systems (LAWS), mostly with respect to the current state-of-the-art in the concerned areas of technology, but also — albeit to a somewhat lesser degree — in a more general context that will, perhaps, not be so easily invalidated by technological progress. When all is considered, the paper attempts to answer the question: \"Why artificial intelligence should not be allowed to make decisions about killing human beings?\" The authors are by no means refusing non-lethal autonomous systems, or remotely controlled (non-autonomous) weapons. They merely point to the fact that \"lethal\" and \"autonomous\" is not an acceptable combination.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130288476","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880287
J. Hvizdos, I. Vojtko, M. Koscelanský, J. Pavlov, J. Vaščák, P. Sinčák
As the concept of the Internet of Things (IoT) permeates the industry and our lives it becomes more and more advantageous to use its emerging services and capabilities. In this paper we explore the possibility of combining the data and services provided by the emerging IoT with remotely controlled robots using a concept of the so-called Intelligent Space (IS). We also provide an overview of infrastructure requirements and describe our own design of IS with some possible applications of such an approach.
{"title":"Applications of remote controlled robotics in the intelligent space","authors":"J. Hvizdos, I. Vojtko, M. Koscelanský, J. Pavlov, J. Vaščák, P. Sinčák","doi":"10.1109/SAMI.2017.7880287","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880287","url":null,"abstract":"As the concept of the Internet of Things (IoT) permeates the industry and our lives it becomes more and more advantageous to use its emerging services and capabilities. In this paper we explore the possibility of combining the data and services provided by the emerging IoT with remotely controlled robots using a concept of the so-called Intelligent Space (IS). We also provide an overview of infrastructure requirements and describe our own design of IS with some possible applications of such an approach.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127829998","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}
Pub Date : 1900-01-01DOI: 10.1109/SAMI.2017.7880298
D. Vincze
Reinforcement Learning (RL) methods became popular decades ago and still maintain to be one of the mainstream topics in computational intelligence. Countless different RL methods and variants can be found in the literature, each one having its own advantages and disadvantages in a specific application domain. Representation of the revealed knowledge can be realized in several ways depending on the exact RL method, including e.g. simple discrete Q-tables, fuzzy rule-bases, artificial neural networks. Introducing interpolation within the knowledge-base allows the omission of less important, redundant information, while still keeping the system functional. A Fuzzy Rule Interpolation-based (FRI) RL method called FRIQ-learning is a method which possesses this feature. By omitting the unimportant, dependent fuzzy rules — emphasizing the cardinal entries of the knowledge representation — FRIQ-learning is also suitable for knowledge extraction. In this paper the fundamental concepts of FRIQ-learning and associated extensions of the method along with benchmarks will be discussed.
{"title":"Fuzzy rule interpolation and reinforcement learning","authors":"D. Vincze","doi":"10.1109/SAMI.2017.7880298","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880298","url":null,"abstract":"Reinforcement Learning (RL) methods became popular decades ago and still maintain to be one of the mainstream topics in computational intelligence. Countless different RL methods and variants can be found in the literature, each one having its own advantages and disadvantages in a specific application domain. Representation of the revealed knowledge can be realized in several ways depending on the exact RL method, including e.g. simple discrete Q-tables, fuzzy rule-bases, artificial neural networks. Introducing interpolation within the knowledge-base allows the omission of less important, redundant information, while still keeping the system functional. A Fuzzy Rule Interpolation-based (FRI) RL method called FRIQ-learning is a method which possesses this feature. By omitting the unimportant, dependent fuzzy rules — emphasizing the cardinal entries of the knowledge representation — FRIQ-learning is also suitable for knowledge extraction. In this paper the fundamental concepts of FRIQ-learning and associated extensions of the method along with benchmarks will be discussed.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114492027","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}
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