A REVIEW OF REAL TIME SMART SYSTEMS DEVELOPED AT UNIVERSITY OF NIŠ

This paper presents the bibliographic review of smart systems implemented so far and their application. Also this paper is dedicated to new smart mobile system developed for monitoring microclimatic parameters. This system is primarily intended for monitoring real-time microclimatic parameters, such as air quality where the presence of carbon monoxide (CO) is monitored, as well as other microclimatic parameters. The mobile system which will be described in this manuscript can be installed in public transport (to obtain information on microclimatic parameters on a known route). Also, to obtain information on microclimatic parameters from a random route, it is possible to install the system in a taxi vehicle. This system provides the ability to generate a map using the data provided by the system based on GPS coordinates. The system is based on a group of embedded sensors, GPS module, PIC microcontroller as a core and server system, and wireless internet using Global System for Mobile Telecommunications (GSM) module with General Packet Radio Service (GPRS) as a communication protocol

A SMART WEATHER STATION BASED ON SENSOR TECHNOLOGY

In this paper a new approach to utilize technology in a practical and meaningful manner within a smart weather station system is presented. This system is primary intended for use in agriculture and meteorological stations, but its application is not limited here. Weather parameters observing plays an important role in human live, so the observing, collecting and storing of information about the temporal dynamics of weather changes is very important. The primary goal is to design a low cost smart system for storing data obtained by measuring various physical parameters in the atmosphere without human involvement. Realized system use Internet of Things technology to storage measured results, and allows the user to access the results anytime and anywhere. In this research Internet of Things is used as technology for storing measured data, because this technology is an advanced and efficient solution for connecting the things to the Internet and to connect the entire world of things in a network. The proposed smart weather station system is based on the following steps: direct environment sensing, measuring and storing data and then allowing user to customize the settings. This research will present the design and implementation of a practical smart weather station system, which can be further extended. The system is based on: group of embedded sensors, Peripheral Interface Microcontroller (PIC) microcontroller as a core and server system and wireless internet using Global System for Mobile Telecommunications (GSM) module with General Packet Radio Service (GPRS) as a communication protocol

SPATIAL SPICE MODEL OF A WIRELESS SENSOR NETWORK NODE BASED ON A THERMOELECTRIC GENERATOR

This paper presents a spatial SPICE model of a wireless sensor network node that enables simulation of performances in the steady-state and time-domain. The model includes constructive non-electrical parts of the node and a thermoelectric generator employing the thermoelectric effects. The simulation results are compared with the experiment to validate the proposed model. It enabled the characterization of WSN nodes comprising different thermoelectric generators and heatsinks in terms of energy conversion efficiency

CONSIDERATION OF CONDUCTION MECHANISMS IN HIGH-K DIELECTRIC STACKS AS A TOOL TO STUDY ELECTRICALLY ACTIVE DEFECTS

In this paper conduction mechanisms which could govern the electron transport through high-k dielectrics are summarized. The influence of various factors – the type of high-k dielectric and its thickness; the doping with a certain element; the type of metal electrode as well as the measurement conditions (bias, polarity and temperature), on the leakage currents and dominant conduction mechanisms have been considered. Practical hints how to consider different conduction mechanisms and to differentiate between them are given. The paper presents an approach to assess important trap parameters from investigation of dominant conduction mechanisms

Identification of Nonlinear Systems Using the Hammerstein-Wiener Model with Improved Orthogonal Functions

Hammerstein-Wiener systems present a structure consisting of three serial cascade blocks. Two are static nonlinearities, which can be described with nonlinear functions. The third block represents a linear dynamic component placed between the first two blocks. Some of the common linear model structures include a rational-type transfer function, orthogonal rational functions (ORF), finite impulse response (FIR), autoregressive with extra input (ARX), autoregressive moving average with exogenous inputs model (ARMAX), and output-error (O-E) model structure. This paper presents a new structure, and a new improvement is proposed, which is consisted of the basic structure of Hammerstein-Wiener models with an improved orthogonal function of Müntz-Legendre type. We present an extension of generalised Malmquist polynomials that represent Müntz polynomials. Also, a detailed mathematical background for performing improved almost orthogonal polynomials, in combination with Hammerstein-Wiener models, is proposed. The proposed approach is used to identify the strongly nonlinear hydraulic system via the transfer function. To compare the results obtained, well-known orthogonal functions of the Legendre, Chebyshev, and Laguerre types are exploited

Priorities for development of research methods in occupational cancer.

Occupational cancer research methods was identified in 1996 as 1 of 21 priority research areas in the National Occupational Research Agenda (NORA). To implement NORA, teams of experts from various sectors were formed and given the charge to further define research needs and develop strategies to enhance or augment research in each priority area. This article is a product of that process. Focus on occupational cancer research methods is important both because occupational factors play a significant role in a number of cancers, resulting in significant morbidity and mortality, and also because occupational cohorts (because of higher exposure levels) often provide unique opportunities to evaluate health effects of environmental toxicants and understand the carcinogenic process in humans. Despite an explosion of new methods for cancer research in general, these have not been widely applied to occupational cancer research. In this article we identify needs and gaps in occupational cancer research methods in four broad areas: identification of occupational carcinogens, design of epidemiologic studies, risk assessment, and primary and secondary prevention. Progress in occupational cancer will require interdisciplinary research involving epidemiologists, industrial hygienists, toxicologists, and molecular biologists