We present in this paper architecture and preliminary evaluation results of a novel dual-mode processor architecture which supports queue and stack computation models in a single core. The core is highly adaptable in ...
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We present in this paper architecture and preliminary evaluation results of a novel dual-mode processor architecture which supports queue and stack computation models in a single core. The core is highly adaptable in both functionality and configuration. It is based on a reduced bit produced order queue computation instruction set architecture and functions into Queue or Stack execution models. This is achieved via a so called dynamic switching mechanism implemented in hardware. The current design focuses on the ability to execute Queue programs and also to support Stack based programs without considerable increase in hardware to the base architecture. We present the architecture description and design results in a fair amount of details.
Bergman has proposed an irrational number system where the golden ratio is used to be the base. The system has been improved by introducing a symmetrical concept to the representation, this new system is called ternar...
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Bergman has proposed an irrational number system where the golden ratio is used to be the base. The system has been improved by introducing a symmetrical concept to the representation, this new system is called ternary mirror-symmetrical number system. In this paper we are interested in parallel addition and subtraction problems. A modified version of on-the-fly architecture is applied to the system in order to perform addition and subtraction in parallel manner. Theoretical results show that addition and subtraction can be performed in Theta log(n) time complexity where n is the number of digits of the operands.
Power consumption in scan-based testing is a major concern nowadays. In this paper, we present a new X-filling technique to reduce both shift power and capture power during scan tests, namely LSC-filling. The basic id...
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A low energy sensor node processor is proposed for continuous healthcare monitoring application. The bio signal processing block is integrated into the processor to support the compression and the encryption. A quadra...
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A low energy sensor node processor is proposed for continuous healthcare monitoring application. The bio signal processing block is integrated into the processor to support the compression and the encryption. A quadratic level bio signal compression algorithm is proposed to reduce the transmission power consumption and the memory capacity. And the AES-128 data encryption datapath is integrated for user privacy and authentication. The CR is 8.4:1, the PRD is 0.897% and the compression rate is 6.4 Mbps. The encryption rate is 1.6 Mbps and the normalized performance is 0.4b/cycle/k-gates which is the highest value compared to the related works. The proposed processor consumes 0.56 nJ/bit at 1V supply voltage with 1MHz operating frequency in 0.25-mum CMOS process.
Since multiview video coding (MVC) based on H.264/AVC uses a prediction scheme exploiting inter-view correlation among multiview video, MVC encoder compresses multiple views more efficiently than simulcast H.264/AVC e...
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Since multiview video coding (MVC) based on H.264/AVC uses a prediction scheme exploiting inter-view correlation among multiview video, MVC encoder compresses multiple views more efficiently than simulcast H.264/AVC encoder. However, in case that the number of views to be encoded increases in MVC, the total encoding time will be greatly increased. To reduce computational complexity in MVC, a fast mode decision using both MB (macroblock)-based region segmentation information and global disparity vector among views is proposed to reduce encoding time. The proposed method achieves on average 40% reduction of total encoding time with the PSNR (peak signal to noise ratio) degradation of about 0.05 dB.
An alternative transform based on the correlation of the residual signal is proposed for the improvement of the H.264/AVC coding efficiency. To make use of this alternative transform in video coding, discrete sine tra...
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An alternative transform based on the correlation of the residual signal is proposed for the improvement of the H.264/AVC coding efficiency. To make use of this alternative transform in video coding, discrete sine transform and integer sine transform are used alternately with integer cosine transform in order to greatly compact the energy of the signal when the correlation coefficients of the signal are relatively low. Therefore, the discrete sine transform and the integer sine transform are suggested to be used in conjunction with the integer cosine transform in H.264/AVC. The alternative transform that selects the optimal transform between two transforms by using rate-distortion optimization in H.264/AVC shows a coding gain compared with H.264/AVC. Based on the experimental results, the proposed method with the discrete sine transform achieves a BD-PSNR gain of up to 0.68 dB compared to JM 10.2 at relatively high bitrates.
We evolve a neural network controller for a boat that learns to maintain a given bearing and range with respect to a moving target in the Lagoon 3D game environment. Simulating realistic physics makes maneuvering boat...
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We evolve a neural network controller for a boat that learns to maintain a given bearing and range with respect to a moving target in the Lagoon 3D game environment. Simulating realistic physics makes maneuvering boats difficult and thus makes an evolutionary approach an attractive alternative to hand coded methods. We evolve the weights of simple recurrent neural networks trained with a fitness function designed to combine multiple fitness objectives based on speed, heading, and position to create a robust maintain station behavior. Results with an enforced subpopulation neural-evolution genetic algorithm indicate that we can consistently evolve robust maintain controllers for realistically simulated boats in Lagoon.
AND subtraction technique is proposed and presented in this paper. The theory is being elaborated and the simulation results have been done by comparing AND subtraction technique against Complementary subtraction tech...
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ISBN:
(纸本)9780889867345
AND subtraction technique is proposed and presented in this paper. The theory is being elaborated and the simulation results have been done by comparing AND subtraction technique against Complementary subtraction technique by using DW code. The result shows that the OSNR for AND subtraction technique give 39.5 dB at 10 km, while Complementary technique is only 24.5 dB. In this paper we have proved that AND subtraction technique gives better optical signal to noise ratio (OSNR) performance due to reduce the multiple access interference (MAI) compared to the Complementary subtraction technique.
In this paper, the application of a hierarchical coevolutionary fuzzy system called HiCEFS for predicting financial time series is investigated. A novel financial trading system using the HiCEFS as a predictive model ...
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In this paper, the application of a hierarchical coevolutionary fuzzy system called HiCEFS for predicting financial time series is investigated. A novel financial trading system using the HiCEFS as a predictive model and employing a prudent trading strategy based on the price percentage oscillator (PPO) is proposed. In order to construct an accurate predictive model, a form of generic membership function named Irregular Shaped Membership Function (ISMF) is employed and a hierarchical coevolutionary genetic algorithm (HCGA) is adopted to automatically derive the ISMFs for each input variable in HiCEFS. With the accurate prediction from HiCEFS and a prudent trading strategy, the proposed financial trading system outperforms the simple buy-and-hold strategy, the trading system without prediction and the trading system with other predictive models (EFuNN, DENFIS and RSPOP) on real-world financial data.
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