The project is to create an application that converts the audio signal from your computer microphone to record format MP3. Application is designed to record and preserve the audio recordings to a file in a format of l...
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The project is to create an application that converts the audio signal from your computer microphone to record format MP3. Application is designed to record and preserve the audio recordings to a file in a format of lossy compression of audio file compression based on MPEG algorithm (Motion Picture Experts Group). While maintaining a relatively high quality it can reduce the size of audio files in CD quality at about one tenth, for speech, however, it gives much worse results. The advantage of this application is the ability to set frequency range (the sampling) and set the width of the stream, which indicates the number of bits, by which a second of record is registred with. The application is written in C # using Microsoft Visual Studio 2008.
This project is carring out of design and development of software which is able to determine the ideal method of passing cars sweep so that the car is capable of a corner as quickly as possible without compromising sa...
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This project is carring out of design and development of software which is able to determine the ideal method of passing cars sweep so that the car is capable of a corner as quickly as possible without compromising safety to crew, or there is a deterioration in passenger comfort, or damage to tangible property transported. Thus a virtual model of a situation such as a desktop application programming in Microsoft Visual Studio 2008 was created. Thanks to the user who made aplication used as an example of automated driving. At the same time it can become the basis for further work on this topic.
This paper deals with the battery life of mobile devices and PDAs at various load levels of the battery. For such testing of PDA battery life, there are many programs in ensuring the current battery status. Our develo...
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This paper deals with the battery life of mobile devices and PDAs at various load levels of the battery. For such testing of PDA battery life, there are many programs in ensuring the current battery status. Our developed appplications can determine the battery at defined time intervals and display its status on the device display in numeric format XX%, where the measured value is stored in an external file in XLS format. Addressing problem is designed to store the measured data of the appplication in tabular form, for better evaluation performance and the subsequent effect on the battery. Testing is focused on the impact of various device appplications, that means from low-end appplications to very demanding appplications with Wi-Fi, Bluetooth, GPS, for the battery status.
The aim of this work is to create application for mobile devices such as PDAs running under Windows Mobile. With this application, and PDA it will be able to process the analog data measured by the A / D converter and...
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The aim of this work is to create application for mobile devices such as PDAs running under Windows Mobile. With this application, and PDA it will be able to process the analog data measured by the A / D converter and display it in graphs. Use of the converter has four analog inputs. These are converted into digital form and transmitted via the communication interface Ethernet to WiFi router. Application running on a PDA uses WiFi connection to download measured data and to processes them. The advantage of this solution is particularly small size and mobility of the PDA. This eliminates the need to transfer the measuring device. This makes a possibility of usage wide especially in the manufacturing industry in the halls where it should be measured in several places at the same time, and the values compared between each other.
In this study, intelligent control of human eye movements system for the emotional support by a huggable pet type robot via Gaussian RBF neural network based on sliding mode control is presented. Despite active resear...
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This project was inspired by the idea of the connection of amusement and useful thing respectively the movement by the playing games, because as is known global problem of the Word is increasing obesity caused by the ...
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This project was inspired by the idea of the connection of amusement and useful thing respectively the movement by the playing games, because as is known global problem of the Word is increasing obesity caused by the addiction on the PC games at the young people. This project connects pleasurable with useful, respectively playing of the game with physical effort. By the help of the accelerometer is possible to handle by simple games to whose operating is needed physical impulsion of the player. After it would be possible to take up on this project by the beat measurement of the player in order to check on effectivity of the suggested system. Software was programmed in background C#.
This paper presents a design and measurements of multichannel integrated circuits dedicated to recording of neurobiological signals. 64 recording channels have been implemented in a single chip using a commercially av...
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This paper presents a design and measurements of multichannel integrated circuits dedicated to recording of neurobiological signals. 64 recording channels have been implemented in a single chip using a commercially available CMOS 180 nm process. A single recording amplifier consumes only 25 μW from 1.8 V supply and occupies 0.13 mm 2 of the silicon area. Its main parameters such as the low/high cut off frequencies and the voltage gain are controlled thanks to the on-chip register. User is able to change the low cut off frequency in the 60 mHz - 100 Hz range in each channel independently while the high cut off frequency and the voltage gain can be set to 4.7 kHz / 12 kHz and 139 V/V / 1100 V/V respectively. The input referred noise depends on the bandwidth of the recording channel and is equal to 3.7 μV (100 Hz - 12 kHz) or to 7.6 μV (3 Hz - 12 kHz). This paper deals with problems that are present in a multichannel integrated recording electronics for neurobiology experiments such as: ability to record input signals in the frequency range below a single Hz, and the spread of the cut off frequencies from channel to channel in such systems. Up to our knowledge the solution presented in this paper is the first one reporting the multichannel IC that is able both to record extremely low frequency signals in each channel with a small spread of this parameter from channel to channel.
The electric power is indispensable for modern life. However, there is a problem of harmonic disturbance when the harmonic power runs into electronic devices. To overcome the problem and realize a stable supply of the...
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Motion detection is an important computer vision problem that has been used in different applications including surveillance. Most of the applications require fast processing due to their real time nature. The GPU (Gr...
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Motion detection is an important computer vision problem that has been used in different applications including surveillance. Most of the applications require fast processing due to their real time nature. The GPU (Graphic Processing Unit) is used as a cost-efficient tool that provides great opportunities for parallel processing. This paper studies the performance of the GPU in implementing a realistic motion detection application and compares the performance of multiple GPUs and CPU for this class of applications. The experimental results have shown that the GPU based system demonstrated high speedup and it is therefore a good low cost solution for real-time scenarios such as in video surveillance systems.
Parkinson's disease is a neurodegenerative disorder and is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into subcortical structures for long-te...
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Parkinson's disease is a neurodegenerative disorder and is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into subcortical structures for long-term stimulation at frequencies greater than 100Hz. The mechanism by which chronic, electrical Deep Brain Stimulation with high frequency, suppresses tremor in Parkinson's disease is unknown, but might involve a gradual change in network properties controlling the generation of tremor. First, we performed linear and nonlinear analysis of the tremor signals to determine a set of parameters and rules for recognizing the behavior of the investigated patient and to characterize the typical responses for several forms of DBS. Second, we found patterns for homogeneous group for data reduction. We used Data Mining and Knowledge discovery techniques to reduce the number of data. Then, we found "clusters" the most well-known used and commonly partitioning methods used: K-means and K-medoids. To support such predictions, we develop a model of the tremor, to perform tests determining the DBS reducing the tremor or inducing tolerance and lesion if the stimulation is chronic.
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