This paper analyzes a complex scenario of using the Compact-RIO embedded system to control flexible real-time processes in industrial environment. The described application is around intelligent control path, a very suitable field for the characteristics of the mentioned system. Moreover, the paper gives details about the control algorithm, the testing procedures, including the measurements and the results obtained with a MyRio 1900 module implemented on a robot arm with two servomotors (actuators). The first part presents the MyRio development system with its sensors and actuators. Also, the configuration and programming procedures are clarified in this section. The second part presents the set-up of the stand and the experiments carried out for an application regarding the precise handling of components in the medical area.
In the first part, this paper aims to analyze the optical and electronic performance of advanced drivers for LED lighting
applications, taking into account the financial aspects. Consequently, for two price classes (low- and high-cost), we investigate
the power conversion efficiency, their grid impact, lighting characteristics, and finally the cost-benefit ratio. Experimental
measurements on physical prototypes validate the simulations performed with real supplying conditions.
The final part of the paper explains some optimization steps for price-performance ratio according to a multicriteria
matrix or to the main criteria established by the beneficiary. The study should be a useful decision making tool for both the
scientific community and the contracting authorities.
Time-Domain Terahertz Spectroscopy (TDTS) is a rapidly developing measurement technique constantly finding new applications in various areas of materials science such as measurements of material constants of solids [1]. Terahertz frequencies i.e. frequencies from tens of GHz to few THz, lay between the operation ranges of classical microwave and infrared spectroscopy and thus cannot be effectively covered by any of these techniques. TDTS fills this gap enabling the study of materials properties in the part of the electromagnetic spectrum that is of a particular interest for the materials science [2, 4]. TDTS is the only applicable far-infrared spectroscopic technique. Far infrared imaging based on TDTS is currently an extremely promising way of non-destructive method for testing samples from substances. In the proposed article there are presented the results of measurements we have made upon some pharmaceuticals and pesticides, using our own experimental setup for TDTS.
The paper presents an applicative set-up for quality control of a concrete tiles manufacturing line. The quality control is performed by optical inspection using Labview and Vision builder.
The tiles optical control intends to detect the correctness of the objects following two parameters: the colour and the geometrical dimensions. We used MyRIO - a real-time embedded evaluation board made by National Instruments [2] for the tile diagnosis.
The present study reports experimental measurements for the determination of radiant electromagnetic fields, both in the low frequency range (0-100 kHz) and in the high frequency (0,1-3.000 MHz) range. Using dedicated analyzers and antennas, the authors measured the intensity of the electric field (V/m), the magnetic induction density (Tesla) and the power radiation density (W/m2) in both absolute and relative values [1], [2].
The investigations took into account the persistence of electromagnetic pollution sources in the production hall in low frequency range: transformers, distribution cabinets, power switching devices or in high frequency range: switches and racks, Wifi emitters, GSM antennas. The obtained results with peak, average and r.m.s. detectors and filtering procedure are interpreted in correlation with the limit values specified in the ICNIRP standards for public and occupational areas (Tab.1).
Wireless Power Charging is becoming more and more common in new gadgets like smarts phones, tablets and laptops. With this pace of technological growth, one can certainly assume in the future that many domestic electronic devices will be charged or powered wirelessly. A detailed finite element simulation of an inductive resonant wireless power transfer system is presented. The purpose of this paper is to explain the methodology on how to change wireless power charging coils on a practical scheme and explaining some of the recommended considerations and techniques.
This paper briefs a few issues regarding the technical validation of public lighting solutions. The novelty of the work is justified by the fact that it combines technical legislation in force [1], with practical analysis procedures [2]. Thus, in order to select the optimal solution, the paper describes a case study of measurement procedure which confirms the high electrical and optical characteristics [3] of the proposed solutions. At the end of the contribution, comparative design purposes for the two versions of modern street lighting are presented.
KEYWORDS: Solar energy, Data modeling, Solar radiation models, Solar radiation, Data mining, Photovoltaics, Sensors, Solar cells, Temperature metrology, Medium wave
This paper investigates the relation between the intensity of solar radiation correlated with ambient temperature and energy production, at local scale and area, using a forecasting algorithm. In the first step, using the experimental collected data, the authors have developed a suitable model to study the analyzed phenomena. The model can be applied for forecasts in the energy sector, very useful especially because UAT (territorial administrative unit) of Alba Iulia has a 275kW functional photovoltaic park.
The present paper describes a software method for creating / managing one type of Transducer Electronic Datasheet (TEDS) according to IEEE 1451.4 standard in order to develop a prototype of smart multi-sensor platform (with up to ten different analog sensors simultaneously connected) with Plug and Play capabilities over ETHERNET and Wi-Fi. In the experiments were used: one analog temperature sensor, one analog light sensor, one PIC32-based microcontroller development board with analog and digital I/O ports and other computing resources, one 24LC256 I2C (Inter Integrated Circuit standard) serial Electrically Erasable Programmable Read Only Memory (EEPROM) memory with 32KB available space and 3 bytes internal buffer for page writes (1 byte for data and 2 bytes for address). It was developed a prototype algorithm for writing and reading TEDS information to / from I2C EEPROM memories using the standard C language (up to ten different TEDS blocks coexisting in the same EEPROM device at once). The algorithm is able to write and read one type of TEDS: transducer information with standard TEDS content. A second software application, written in VB.NET platform, was developed in order to access the EEPROM sensor information from a computer through a serial interface (USB).
KEYWORDS: Sensors, Sensor networks, Data mining, Data modeling, Wind energy, Humidity, Data transmission, Environmental sensing, Data acquisition, Databases
Classification of sensory data is a major research problem in wireless sensor networks and it can be widely used in
reducing the data transmission in wireless sensor networks effectively and also in process monitoring.
In order to examine the huge size of data set in stream model generated by sensor network, it will be analyzed
different sensor's output signal, topology of sensors network, number of sensor parameters and number of
acquisition data. In our wind energy monitoring, sensor node monitors six attributes: speed, direction, temperature,
pressure, humidity, and battery voltage. Every attribute value is set as four measures: average, instantaneous,
minimum, and maximum.
This paper presents several data mining techniques applied on the wireless sensor network's data considered: Naïve
Bayes, k-nearest neighbor, decision trees, IF-THEN rules, and neural networks.
Before classification, the data was clustered in order to be labeled. A similarity based algorithm, k-means, was
selected in the clustering process for its simplicity and efficiency.
A conclusion that decision trees are a suitable method to classify the large amount of data considered is made finally
according to the mining result and its reasonable explanation.
The objectives of this study are to survey the literature regarding energy evaluation and find
optimal solution based on models and experimental set-up's for small and medium home in Alba area.
Wind resource evaluation is a critical element in projecting turbine performance at a given site.
The energy available in a wind stream is proportional to the cube of its speed, which means that
doubling the wind speed increases the available energy by a factor of eight. Furthermore, the
wind resource itself is seldom a steady, consistent flow. It varies with the time of day, season,
height above ground, and type of terrain. Proper siting in windy locations, away from large
obstructions, enhances a wind turbine's performance. We used our measured data in 2 locations
around our town and with this data inserted in some Matlab models we intend to build optimal
experimental solution for produced home's generator's, around Alba town, up to 5 kW.
KEYWORDS: Data acquisition, Optical character recognition, Optoelectronics, Artificial neural networks, Networks, Databases, Optoelectronic devices, Intelligence systems, Mobile devices, Data communications
The paper approaches the task of automatically reading and recognition of registered data on the utility meters of the users and is a part of a more complex project of our team concerning the remote data acquisition from industrial processes. A huge amount of utility meters in our country is of mechanical type without remote acquiring facilities and as an intermediate solution we propose an intelligent optical acquisition system which will store the read values in desktop and mobile devices. The main requirements of such a system are: portability, data reading accuracy, fast processing and energy independence. The paper analyses several solutions (including Artificial Neural Networks approach) tested by our team and present the experimental results and our conclusions.
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