Piotr Czekalski

ANN for FOREX Forecasting and Trading

Modern approach to the FOREX currency exchange market requires support from the computer algorithms to manage huge volumes of the transactions and to find opportunities in a vast number of currency pairs traded daily. There are many well known techniques used by market participants on both FOREX and stock-exchange markets (i.e. Fundamental and technical analysis) but nowadays AI based techniques seem to play key role in the automated transaction and decision supporting systems. This paper presents the comprehensive analysis over Feed Forward Multilayer Perceptron (ANN) parameters and their impact to accurately forecast FOREX trend of the selected currency pair. The goal of this paper is to provide information on how to construct an ANN with particular respect to its parameters and training method to obtain the best possible forecasting capabilities. The ANN parameters investigated in this paper include: number of hidden layers, number of neurons in hidden layers, use of constant/bias neurons, activation functions, but also reviews the impact of the training methods in the process of the creating reliable and valuable ANN, useful to predict the market trends. The experimental part has been performed on the historical data of the EUR/USD pair.

Integration of ultrasonic and inertial methods in indoor navigation system

This paper presents integration of ultrasonic and inertial approaches in indoor navigation system. Ultrasonic navigation systems allow to obtain good results whilst there are at least three beacon transmitters in the range of mobile receiver, but in many situations placement of large number of transmitters is not economically justified. In such situations navigation must be aided by other technique. This paper describes research on supporting ultrasonic system by inertial system based on Magnetic, Angular Rate and Gravity sensor. This can measure current orientation of the receiver and allows to estimate the length of the path by pedometer functionality.

Gesture and voice driven mobile tribot robot using Kinect sensor

The Project is a three devices Microsoft Kinect, Mobile Lego NXT Robot integrated system - and computer. These are controlled in a single application which enables the user to control the NXT Robot remotely by tracking calibration using voice commands.

Remote control of the artificial arm model using 3D hand tracking

Modern sensing technologies create new possibilities to control mobile robots without any dedicated manipulators. In this article authors present a novel method that enables driving of the Mindstorms NXT artificial arm with Microsoft Kinect, using gesture recognition. To imitate movement of an artificial robotic arm, an algorithm of the human-computer interaction is employed using skeleton tracking and gesture control in 3D space.

Touch-Less Java Based Hand Tracking System to Control an Artificial Arm

Modern sensing technologies create new possibilities to control mobile robots without any dedicated manipulators. In this article authors present a novel method that enables driving of the Mindstorms NXT artificial arm with Microsoft Kinect, using gesture recognition and hand tracking. To imitate the movement of an artificial robotic arm, an algorithm of the human-computer interaction is employed using skeleton tracking and gesture control in 3D space. The solution is implemented using free, open source software, Java based.

SMAC-GPS and Radar Data Integration to Set the Status of the Objects in Secure Areas

The last two decades increased the insistence to ensure security of strategic objects such as military bases, airports, fuel plants and others. Effective protection is only possible using systems utilizing latest technology. This paper presents characteristic of modern security systems, and describes SMAC system developed at Silesian University of Technology. It is based on microwave radars supported by mobile devices (UAI) equipped with GPS receivers transmitting current position using a radio channel to recognize objects as authorized to stay in the restricted area. As GPS accuracy is worse than radar resolution so research has been done to ensure proper detection. This paper also presents the discussion of the influence of radar resolution on object recognition.