TY - CHAP U1 - Konferenzveröffentlichung A1 - Marinov, Marin B. A1 - Topalov, Ivan A1 - Hinov, Nikolay A1 - Hensel, Stefan T1 - Mobile Platform for Particulate Matter Monitoring T2 - 2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS) N2 - Amongst all the major hazard aspects for the health of people in big conglomerates is the increase of the particulate matter concentration. Traditional systems for particulate matter (PM) monitoring have a great number of drawbacks but the main issues are economical and are related to the installation costs and never ending periodical maintenance expenses. After all there are installations of such systems but their number is limited and having in mind the growth of population, cities and industry areas, there is even a bigger need for more information on air quality because PM changes non-linearly, has a wide range and different sources. In this paper, we propose an approach, based on low-cost sensor nodes, for real-time measuring and obtaining information about the PM concentration. The adoption of that approach allows for a detailed study of the intensities of pollution and its sources. The system power supply is powered by a PV module. The power supply unit is designed using a model-based design that is a new approach to prototyping power-operated electronic devices with guaranteed performance. KW - Air Pollution KW - Environmental monitoring Y1 - 2019 SN - 978-1-7281-3468-0 (Print on Demand) SB - 978-1-7281-3468-0 (Print on Demand) SN - 978-1-7281-3467-3 (Online) SB - 978-1-7281-3467-3 (Online) SN - 978-1-7281-3466-6 (CD) SB - 978-1-7281-3466-6 (CD) U6 - https://doi.org/10.1109/CREBUS.2019.8840047 DO - https://doi.org/10.1109/CREBUS.2019.8840047 N1 - 2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS), Sandanski, Bulgaria 18 – 21 March 2019 SP - 6 S1 - 6 ER - TY - CHAP U1 - Konferenzveröffentlichung A1 - Hensel, Stefan A1 - Marinov, Marin B. A1 - Sprich, Florian A1 - Ganev, Borislav T1 - Image-Based Automated Hit Detection and Score Calculation on a Steel Dartboard T2 - 2019 Second Balkan Junior Conference on Lighting (Balkan Light Junior) N2 - This paper presents an approach for implementing an automated hit detection and score calculation system for a steel dartboard using a standard webcam. First, the rectilinear field separations of the dartboard are described mathematically by means of line slopes and are than stored. These slopes serve as a basis for later score calculation. In addition, thrown darts have to be detected and the pixel at which the dart cuts the dartboard has to be determined. When this information is known, a comparison is made using the line slopes, allowing the field number of the hit to be detected. The decision for single, double or triple hit is made by evaluating the defined colors on the dartboard. All these functions are then packaged in a Matlab GUI. Y1 - 2019 SN - 978-1-7281-2098-0 (Online) SB - 978-1-7281-2098-0 (Online) SN - 978-1-7281-2096-6 (CD) SB - 978-1-7281-2096-6 (CD) SN - 978-1-7281-2099-7 (Print on Demand) SB - 978-1-7281-2099-7 (Print on Demand) U6 - https://doi.org/10.1109/BLJ.2019.8883659 DO - https://doi.org/10.1109/BLJ.2019.8883659 N1 - Second Balkan Junior Conference on Lighting, 19-21 September 2019, Plovdiv, Bulgaria SP - 4 S1 - 4 ER - TY - CHAP U1 - Konferenzveröffentlichung A1 - Hensel, Stefan A1 - Marinov, Marin B. A1 - Schwarz, Raphael A1 - Topalov, Ivan ED - Poulkov, Vladimir T1 - Ground Sky Imager Based Short Term Cloud Coverage Prediction T2 - FABULOUS 2019: Future Access Enablers for Ubiquitous and Intelligent Infrastructures N2 - The paper describes a systematic approach for a precise short-time cloud coverage prediction based on an optical system. We present a distinct pre-processing stage that uses a model based clear sky simulation to enhance the cloud segmentation in the images. The images are based on a sky imager system with fish-eye lens optic to cover a maximum area. After a calibration step, the image is rectified to enable linear prediction of cloud movement. In a subsequent step, the clear sky model is estimated on actual high dynamic range images and combined with a threshold based approach to segment clouds from sky. In the final stage, a multi hypothesis linear tracking framework estimates cloud movement, velocity and possible coverage of a given photovoltaic power station. We employ a Kalman filter framework that efficiently operates on the rectified images. The evaluation on real world data suggests high coverage prediction accuracy above 75%. Y1 - 2019 SN - 1867-8211 (Print) SS - 1867-8211 (Print) SN - 1867-822X (Online) SS - 1867-822X (Online) SN - 978-3-030-23975-6 (Print) SB - 978-3-030-23975-6 (Print) SN - 978-3-030-23976-3 (Online) SB - 978-3-030-23976-3 (Online) U6 - https://doi.org/10.1007/978-3-030-23976-3_33 DO - https://doi.org/10.1007/978-3-030-23976-3_33 N1 - 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings N1 - Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 283) SP - 372 EP - 385 S1 - 12 PB - Springer CY - Cham ER -