Detection of short-circuits of dc motor using thermographic images, binarization and K-NN classifier

Zadnjih je godina otkriveno mnogo metoda za otkrivanje greške. Jedna od njih je termografija, sigurna i neinvazivna metoda. U radu se opisuje otkrivanje početnog stanja greške u istosmjernom motoru. Analizirane su termografske slike ispravljača istosmjernog motora. Analizirane su dvije vrste termografskih slika: termografska slika ispravljača ispravnog istosmjernog motora i termografska slika ispravljača istosmjernog motora s pregorjelim zavojnicama rotora. Analiza je provedena za metode obrade slike kao što su: ekstrakcija grimizno ljubičaste boje, binarizacija, zbir vertikalnih piksela i zbir svih piksela na slici. Klasifikacija se provela za klasifikator K-Najbliži Susjed (K-Nearest Neighbour classifier). Rezultati analize pokazuju da je predložena metoda učinkovita. Može se također koristiti u dijagnostičke svrhe u industrijskim pogonima.Many fault diagnostic methods have been developed in recent years. One of them is thermography. It is a safe and non-invasive method of diagnostic. Fault diagnostic method of incipient states of Direct Current motor was described in the article. Thermographic images of the commutator of Direct Current motor were used in an analysis. Two kinds of thermographic images were analysed: thermographic image of commutator of healthy DC motor, thermographic image of commutator of DC motor with shorted rotor coils. The analysis was carried out for image processing methods such as: extraction of magenta colour, binarization, sum of vertical pixels and sum of all pixels in the image. Classification was conducted for K-Nearest Neighbour classifier. The results of analysis show that the proposed method is efficient. It can be also used for diagnostic purposes in industrial plants

An approach to personalized search within distributed repository of visual data

In this paper, we introduce functional assumptions of the distributed repository of visual data that are one of key aspects of SYNAT framework for digital libraries. The proposed system will provide innovative tools and extend capabilities of current repositories. Within this task, the personalized search system is discussed. Especially three different approaches were proposed for this system, such as: CF, CBF and DF. Idea behind personalization is that there is currently lack of such functionality whereas end users would benefit from it

Large-scale Research on Quality of Experience (QoE) Algorithms

The large variety of video data sources means variability not only in terms ofincluded content, but also in terms of quality. Therefore, quality assessment pro-vides an additional dimension. The paper describes a comprehensive evaluationexperiment on perceived video quality. Consequently, in summary, 19 200 000video frames will be processed. Given the scale of the experiment, it is setup on a computer cluster in order to accelerate the calculations significantly.This work on Quality of Experience (QoE) is synchronized with that conductedby the Video Quality Experts Group (VQEG), in particular the Joint EffortsGroup (JEG) – Hybrid group project

An Approach to Personalized Search within Distributed Repository of Visual Data

In this paper, we introduce functional assumptions of the distributed repository of visual data that are one of key aspects of SYNAT framework for digital libraries. The proposed system will provide innovative tools and extend capabilities of current repositories. Within this task, the personalized search system is discussed. Especially three different approaches were proposed for this system, such as: CF, CBF and DF. Idea behind personalization is that there is currently lack of such functionality whereas end users would benefit from it

Evaluation of a Dynamic Map Architecture with ATAM

Dynamic Map can be considered a complex information system, composed of spatial databases, storing  static and dynamic data relevant for urban traffic, as well as a set of software modules responsible for data collection, interpretation and provision. The data originates from a network of sensors, both fixed (e.g. video detectors, acoustic sensors, inductive loops) and on-board GPS receivers installed in vehicles. Clients of the Dynamic Map are various software modules  performing such tasks as visualization, route planning, traffic optimization, object tracking and threat detection.  The paper discusses experiences with  an evaluation of the system architecture using the ATAM (Architectural Tradeoffs Analysis Method).  The stages of evaluation comprise describing architectural views, identification of key scenarios and evaluation of risks of their realization