Optimal Multi-TDMA Scheduling in Ring Topology Networks

A scheduling algorithm will be proposed for wireless ring topology networks, utilizing time division multiple access (TDMA) with possible simultaneous operation of nodes. The proposed algorithm finds the optimal schedule to minimize the turnaround time for messages in the network. The properties of the algorithm are mathematically analyzed and proven, and practical test results are also provided

Design of a VLC-based Beaconing Infrastructure for Indoor Localization Applications

In this paper the design of an LED-based beaconing infrastructure is introduced, which can be utilized in indoor localization systems. The LED beacons, which may be part of the existing lighting infrastructure, are blinking with high frequency invisible for human eyes, while the detectors are regular cameras. Since the sampling frequency of the cameras is much lower than the blinking frequency, the detection is based on a coding system, which tolerates the undersampling of the signal. The performance of the proposed system is analyzed and a possible application is introduced

Percolation Driven Floodingf or Energy Efficient Routing in Dense Sensor Networks, Journal of Telecommunications and Information Technology, 2009, nr 2

Simple flooding algorithms are widely used in ad hoc sensor networks either for information dissemination or as building blocks of more sophisticated routing protocols. In this paper a percolation driven probabilistic flooding algorithm is proposed, which provides large message delivery ratio with small number of sent messages, compared to traditional flooding. To control the number of sent messages the proposed algorithm uses locally available information only, thus induces negligible overhead on network traffic. The performance of the algorithm is analyzed and the theoretical resultsare verified through simulation examples

Semi-Automatic Detection and Tracking of Growing Mushrooms on Image Sequences

The efficient management of autonomous mushroom production plants requires the model of growth rate of mushrooms. Photos of the plants are used as input for the growth models, which then predict the development of individual mushrooms. Recently machine learning techniques have been successfully applied to create such models. For the machine learning systems, however, large number of training samples are required. The training samples include photos of the plant and also ground truth markers indicating the position and size of the mushrooms on the photo. In this paper an image processing system is introduced, which is able to create good quality ground truth from sequences of images of the plant. The proposed system can automatically detect the mushroom positions and sizes on each of the pictures, but also allows user intervention to minimize the number of detection errors

Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods

It is a well-known worldwide trend to increase the number of animals on dairy farms and to reduce human labor costs. At the same time, there is a growing need to ensure economical animal husbandry and animal welfare. One way to resolve the two conflicting demands is to continuously monitor the animals. In this article, rumen bolus sensor techniques are reviewed, as they can provide lifelong monitoring due to their implementation. The applied sensory modalities are reviewed also using data transmission and data-processing techniques. During the processing of the literature, we have given priority to artificial intelligence methods, the application of which can represent a significant development in this field. Recommendations are also given regarding the applicable hardware and data analysis technologies. Data processing is executed on at least four levels from measurement to integrated analysis. We concluded that significant results can be achieved in this field only if the modern tools of computer science and intelligent data analysis are used at all levels

The Way to Modern Shutter Speed Measurement Methods: A Historical Overview

Exposure time is a fundamental parameter for the photographer when the photo is composed, and the exact length of the exposure may be an essential determinant of performance in certain camera-based applications, e.g., optical camera communication (OCC) systems. There can be several reasons to measure the shutter speed of a camera: shutter speed may be checked at the time of manufacturing; it may be necessary to recheck in case of an elder camera model; it may be necessary to be measured if its exact value is not provided by the manufacturer; or a precise measurement may be necessary for a demanding application. In this paper various methods for shutter speed measurement are reviewed, presenting and analyzing methods that are still relevant today either for manufacturers, service personnel, amateur photographers, or the developers of camera-based systems. Each presented method is illustrated by real measurement results and the performance properties of the methods are also presented