2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)最新文献

Self-organising symbolic aggregate approximation for real-time fault detection and diagnosis in transient dynamic systems 基于自组织符号聚合逼近的暂态动态系统实时故障检测与诊断

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 2017-01-26 DOI: 10.1109/SAMI.2017.7880350

M. Gallimore, C. Bingham, M. Riley

{"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}

引用次数: 2

Concept of predictive maintenance of production systems in accordance with industry 4.0 根据工业4.0对生产系统进行预测性维护的概念

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880343

L. Spendla, M. Kebísek, P. Tanuška, Lukas Hrcka

引用次数: 49

CoWoOZ — A cloud-based teleoperation platform for social robotics CoWoOZ -基于云的社交机器人远程操作平台

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880361

Gergely Magyar, P. Sinčák, Ján Magyar, Kaori Yoshida, A. Manzi, F. Cavallo

引用次数: 1

PI control of laboratory model elevator via ladder logic in PLC 利用PLC梯形逻辑实现实验室模型电梯的PI控制

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880338

Norbert Ferenčík, J. Jadlovský, M. Kopčík, I. Zolotová

引用次数: 4

Detection of oesophagus tissue changes using image processing 利用图像处理技术检测食道组织变化

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880319

István Golarits, Máté Tóth, Z. Vámossy

{"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}

引用次数: 4

The CASE tool for programming of the multi-core System-on-a-Chip with the data flow computation control 用CASE工具编写具有数据流计算控制的多核单片系统

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880295

B. Madoš, N. Ádám, A. Baláz, Katarína Šinaľová

引用次数: 3

Concept for transfer of driver assistance algorithms for blind and visually impaired people 盲人和视障人士驾驶辅助算法转移的概念

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880311

Judith Jakob, J. Tick

引用次数: 11

Why Lethal autonomous weapon systems are unacceptable 为什么致命的自主武器系统是不可接受的

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880334

V. Simák, M. Gregor, M. Hruboš, Dušan Nemec, J. Hrbček

引用次数: 1

Applications of remote controlled robotics in the intelligent space 遥控机器人在智能空间中的应用

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880287

J. Hvizdos, I. Vojtko, M. Koscelanský, J. Pavlov, J. Vaščák, P. Sinčák

引用次数: 9

Fuzzy rule interpolation and reinforcement learning 模糊规则插值和强化学习

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880298

D. Vincze

引用次数: 15