Search Results

You are looking at 1 - 7 of 7 items for :

  • Information Technology x
Clear All
Open access

Bakhyt K. Mukhanov, Zhanar Zh. Omirbekova, Azamat K. Usenov and Waldemar Wójcik

Abstract

The paper deals with simulation of in-situ uranium leaching technological process, collecting data for forecasting and leaching process control. It provides numerical simulation of uranium in-situ leaching (ISL) using Comsol Multiphysics software package application.

Previous studies evaluated main hydrodynamic characteristics of wells and reservoirs, such as the coefficient of resistance and the saturation recovery; while this paper is concerned with determining the changes in process variables in the wells during operation.

Open access

Miłosz W. Romaniuk

Abstract

Author analyses the use of new technologies by the pedagogy students from the generation of digital natives focusing on using the functions of mobile electronic devices and basic functions of Internet. Data has been collected with Google Forms. They allow to collect the data very quick, to see the responses immediately and to export the data to a spreadsheet. The aim of the study is to determine the level of student’s competence on the chosen field of information technology. Research shows that students have lower skills than they declare. Author advocates that this situation needs to be improved.

Open access

Marcin Szpyrka, Piotr Matyasik, Rafał Mrówka and Leszek Kotulski

Abstract

Alvis is a modelling language defined for the design and a formal verification of embedded systems. An Alvis model is a system of agents that usually run concurrently, communicate one with another, compete for shared resources etc. Due to the fact that an embedded system usually collects inputs that come from its environment and provides outputs that go to the environment it is necessary to provide a mechanism to describe such a communication. In contrast to another formal languages used to model embedded systems it is not necessary, using Alvis, to design such an environment as a part of a model. The paper deals with the problem of modelling a communication with an embedded system environment with Alvis.

Open access

Budi Setiyanto, Risanuri Hidayat, I Wayan Mustika and Sunarno

Abstract

Deep-fading can decline the quality of the received signal to below threshold, and interrupts the reception-success (generating an outage or time-out). In DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) receiver, such interruption can be identified from the displayed-picture. Multiple-antenna is one of techniques to mitigate such problem. This paper presents a multiple-antenna method for receiving the DVB-T2 signal. At any time, one of antennas is selected where the selection action is controlled by the recovered-picture. In case of using two antennas, field-measurement was conducted to collect the real data, later used in the simulation of the proposed algorithm. The result showed its capability to increase the portion of cumulative reception-success duration up to approximately 1.53 times with respect to its equivalent single-antenna.

Open access

Christopher Armstrong, Diarmuid Kavanagh, Sara Lal and Peter Rossiter

Combining Popular Game Consoles and OSGi to Investigate Autonomous In-The-Field Biomedical Data Acquisition and Management

The need and interest in conducting biomedical research outside the traditional laboratory is increasing. In the field testing such as in the participant's home or work environment is a growing consideration when undertaking biomedical investigation. This type of research requires at a minimum semi-autonomous computer systems that collect such data and send it back to the laboratory for processing and dissemination with the smallest amount of attendance by the participant or even the experimenter. A key aspect of supporting this type of research is the selection of the appropriate software and hardware components. These supporting systems need to be reliable, allow considerable customizability and be readily accessible but also able to be locked down. In this paper we report a set of requirements for the hardware and software for such a system. We then utilise these requirements to evaluate the use of game consoles as a hardware platform in comparison to other hardware choices. We finish by outline one particular aspect of the supporting software used to support the chosen hardware platform based on the OSGi framework.

Open access

Daniela Borissova, Ivan Mustakerov and Lyubka Doukovska

Predictive Maintenance Sensors Placement by Combinatorial Optimization

The strategy of predictive maintenance monitoring is important for successful system damage detection. Maintenance monitoring utilizes dynamic response information to identify the possibility of damage. The basic factors of faults detection analysis are related to properties of the structure under inspection, collect the signals and appropriate signals processing. In vibration control, structures response sensing is limited by the number of sensors or the number of input channels of the data acquisition system. An essential problem in predictive maintenance monitoring is the optimal sensor placement. The paper addresses that problem by using mixed integer linear programming tasks solving. The proposed optimal sensors location approach is based on the difference between sensor information if sensor is present and information calculated by linear interpolation if sensor is not present. The tasks results define the optimal sensors locations for a given number of sensors. The results of chosen sensors locations give as close as possible repeating the curve of structure dynamic response function. The proposed approach is implemented in an algorithm for predictive maintenance and the numerical results indicate that together with intelligent signal processing it could be suitable for practical application.

Open access

Zenon Chaczko, Germano Resconi, Christopher Chiu and Shahrazad Aslanzadeh

N-Body Potential Interaction as a Cost Function in the Elastic Model for SANET Cloud Computing

Given a connection graph of entities that send and receive a flow of data controlled by effort and given the parameters, the metric tensor is computed that is in the elastic relational flow to effort. The metric tensor can be represented by the Hessian of the interaction potential. Now the interaction potential or cost function can be among two entities: 3 entities or ‘N’ entities and can be separated into two main parts. The first part is the repulsion potential the entities move further from the others to obtain minimum cost, the second part is the attraction potential for which the entities move near to others to obtain the minimum cost. For Pauli's model [1], the attraction potential is a functional set of parameters given from the environment (all the elements that have an influence in the module can be the attraction of one entity to another). Now the cost function can be created in a space of macro-variables or macro-states that is less of all possible variables. Any macro-variable collect a set of micro-variables or microstates. Now from the hessian of the macro-variables, the Hessian is computed of the micro-variables in the singular points as stable or unstable only by matrix calculus without any analytical computation - possible when the macro-states are distant among entities. Trivially, the same method can be obtained by a general definition of the macro-variable or macro-states and micro-states or variables. As cloud computing for Sensor-Actor Networks (SANETS) is based on the bonding concept for complex interrelated systems; the bond valence or couple corresponds to the minimum of the interaction potential V and in the SANET cloud as the minimum cost.