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Even a small transition delays and little faults create major concern in digital circuits. It Produce greater impact on not only for simple memory but also for most of the memory applications. This paper presents an error-detection method for difference-set cyclic codes with majority logic decoding. Majority logic decodable codes are suitable for memory applications due to their capability to correct a large number of errors. However, they require a large decoding time that impacts memory performance. The proposed fault-detection method significantly reduces memory access time when there is no error in the data read. The technique uses the majority logic decoder itself to detect failures, which makes the area overhead minimal and keeps the extra power consumption low. The proposed method detects the occurrences of single error, double error ,triple error in the received code words obtained from the memory system.
Gray level Slicing is to highlight a specific range of gray values. Power Adaptation methods are presented for gray level slicing approaches. Power Adaptation methods aims in optimization of the resulting bit error rate by gray level slicing without preserving background and gray level slicing with background. This paper gives us an achievable increase in the proposed method rather than the conventional method with a better quality and the bit error rate is also optimized in proposed method rather than the former method with acceptable quality.
The wavelet transform is widely used in image processing algorithms. In this paper two different wavelet compression techniques are applied on the image. The compression is performed using EZW and SPIHT wavelet based compression techniques. In compression, wavelets have presented a good flexibility to a wide range of data, while being of reasonable complexity. These techniques are more efficient and provide a better quality in the image. The techniques are compared by using the performance parameters Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Compression Ratio (CR) and Bit rate (BR) at different threshold. In the end the conclusion is observed to know which technique is better for image compression. It is observed that compression ratio for SPIHT is better as compared to compression ratio of EZW.
Satellite attitude estimation is one of the important processes in accomplishing a satellite mission. All the state estimation process requires dynamics model and filtering algorithm to estimate the state. Most of the estimation algorithm such as well-known Kalman filter and its variation assume the underlying noise in the dynamics model is Gaussian white noise. Hence, the objective of this paper is to investigate whether the noise in satellite attitude dynamics model in Near Equatorial orbit is Gaussian white noise process or not. This is important because if the assumption regarding the noise is incorrect, this will lead to unreliable and inaccurate estimation. In this paper, the noise is analyzed using normality characterizations and autocorrelation function. The result shows that the noise in the attitude dynamics at Near Equatorial orbit is not Gaussian white noise process.
One of the hardest things to really nail down about an exercise routine is what to eat and when to eat before a workout. You don’t want to feel sick during the workout, but you also don’t want to have no energy due to a lack of food. If you work out at three in the afternoon this is less of a problem, but for people who work out early in the morning or late at night it can be something of an issue. The harsh reality of the situation is that everybody is different, and it will take some trial and error to really nail down your eating habits, but here are a few tips to help you out. For more information visit - http://kisardhillon.com/
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This paper examines a proof of incompleteness by Stanisław Świerczkowski in a paper entitled “Finite sets and Gödel’s incompleteness theorems”. Świerczkowski’s proof is different to most other proofs of incompleteness because the formal system that is used for the proof is a system of hereditarily finite sets. Świerczkowski claims that this makes his proof simple and elegant, and that it has enabled his proof to be complete and without any gaps or omissions, nor relying on references to other publications. Świerczkowski claims that for this reason his proof his superior to most other proofs of incompleteness. However, the author makes an elementary error in his proof that renders the proof invalid; his proof relies on a confusion regarding the domain of the variables involved. Świerczkowski bases his proof on an assumption that a certain formula has a certain domain, whereas a logical analysis demonstrates that this is not the case.
http://www.cablewholesale.com/products/printer-parallel-cables/printer-cables.php | When a printer has a malfunction, it can be the most frustrating thing, especially when it puts a halt to your work day. There are common causes of printer problems that you should know about so they can be fixed faster.
In wireless sensor network nodes position estimation in space is known as localization. Node localization in wireless sensor network is important for many applications and to find the position with Received Signal Strength Indicator requires a number of anchor nodes. However the estimation of distance from signal strength decay in not very accurate especially in time varying environmental conditions and the estimation of exact direction required highly directive antenna but, may still affected by multipath fading. A Genetic Algorithm for wireless sensor network localization is proposed in this paper to solve the issue that the positioning accuracy is low with minimum anchor nodes. Hence in this paper we are presenting a Genetic algorithm for optimization approach which tries to find the optimal location by satisfying both the criteria with minimal error. The simulation results also shows effectively outperform both the techniques.
In this paper a new scheme is proposed for progressive image transmission over coded Orthogonal Frequency Division Multiplexing (OFDM) system with Low Density Parity Check Coding (LDPC). Trigonometric transforms are used in this scheme for improving the performance of the OFDM systems and reducing the PeakTo- Average Power Ratio (PAPR) of OFDM signal. It improves the error resilience ability and transmission efficiency for progressive image transmission over Additive White Gaussian Noise (A WGN) channel. The Set Partitioning In Hierarchical Trees (SPIHT) algorithm is used for source coding of the images to be transmitted. In the proposed scheme the transmit data sequence of the OFDM signal after Inverse Fast Fourier Transform (lFFT) is grouped into in-phase and in-quadrature components, then each component is transformed using either the Discrete Cosine Transform (DCT) or the Discrete Sine Transform (DST). The simulation results show that adding the DST to the system im