Recently, power quality (PQ) has because a significant issue for both power supplies and customers. Researchers in all developed countries know that power quality is one of the factors of losses in the network. Increasing power electronic equipment changes current waveform in distribution networks and this can cause many problems in networks. Distortion of voltage waveforms results in the appea...

The purpose of this paper is to present fully automated systems that monitors on a real time basis the non-ionizing electromagnetic radiation emitted by wireless networks. The presented radio monitoring systems aim to perform repetitive and reliable measurements by using a well-defined measurement algorithm as well as high quality calibrated equipment and to inform the public – using the widesp...

In the frame of an ESA activity, ADV Engineering is developing a microcontroller based on the well-known Intel 8052 device. The objective is to develop a microcontroller for applications with moderate processing requirements but needing high safety and easy accommodation of equipment interfaces. This component is therefore a good candidate for embedding in a large variety of platform and payloa...

This paper presents an OpenBTS implementation case study in rural Zambia. The work focused on applied research and development of a cost effective telecommunication system to provide mobile communications in a rural village. The system aimed to test appropriate technologies involving limited hardware needs, incurring low capital expenditure, and with limit operational costs. The practical exper...

Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are not well suited to solve. This paper describes timeweaver, a genetic algorithm based machine learning system that predicts rare events by identifying predictive temporal and sequential patterns. Timeweaver is applied t...

Learning to predict future events from sequences of past events is an important, real-world, problem that arises in many contexts. This paper describes Timeweaver, a genetic-based machine learning system that solves the event prediction problem by identifying predictive temporal and sequential patterns within data. Timeweaver is applied to the task of learning to predict telecommunication equip...

We present algorithms for the drawing of survivable telecommunication networks. The visualization of telecommunication networks is a very important problem. For some specific rings in a network, we may have a high traffic. The network designers may decide to add more equipment to the nodes (sites) of these rings in order to increase the performance of the network. Therefore, one of the most imp...

We consider stationary Poisson line processes in the Euclidean plane and analyze properties of Voronoi tessellations induced by Poisson point processes on these lines. In particular, we describe and test an algorithm for the simulation of typical cells of this class of Cox–Voronoi tessellations. Using random testing, we validate our algorithm by comparing theoretical values of functionals of th...

This paper describes an approach to the analysis, design and development of laboratory requirements. It uses learning objectives derived from laboratory experiments, as one component in an equipment selection process. We then delineate our strategy for a comparative assessment of this approach to one less directed. The laboratory experience is an active learning experience that increases the te...