Molecular interaction fields provide a useful description of ligand binding propensity and have found widespread use in computer-aided drug design, for example, to characterize protein binding sites and in small molec...
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Molecular interaction fields provide a useful description of ligand binding propensity and have found widespread use in computer-aided drug design, for example, to characterize protein binding sites and in small molecular applications, such as three-dimensional quantitative structure activity relationships, physicochemical property prediction, and virtual screening. However, the grids on which the field data are stored are typically very large, consisting of thousands of data points, which make them cumbersome to store and manipulate. The wavelet transform is a commonly used datacompression technique, for example, in signal processing and image compression. Here we use the wavelet transform to encode molecular interaction fields as wavelet thumbnails, which represent the original grid data in significantly reduced volumes. We describe a method for aligning wavelet thumbnails based on extracting extrema from the thumbnails and subsequently use them for virtual screening. We demonstrate that wavelet thumbnails provide an effective method of capturing the three-dimensional information encoded in a molecular interaction field.
The large test data volume and power consumption are major problems in testing System-on-a-Chip (SoC) which is a key component of today's embedded system. To reduce the test application time from an Automatic Test...
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ISBN:
(纸本)9780769530451
The large test data volume and power consumption are major problems in testing System-on-a-Chip (SoC) which is a key component of today's embedded system. To reduce the test application time from an Automatic Test Equipment (ATE), a new test datacompression technique is proposed in this paper. Don't-cares in a pre-computed test cube set are assigned to reduce the test power consumption. Then, fully specified lowpower test data is transformed to improve compression efficiency by neighboring bit-wise exclusive-or technique. Finally, test set converted is compressed to reduce test application time.
Many multiprocessor systems have the ability to broadcast and/or multicast information efficiently. However, this ability is often overlooked when designing algorithms for these systems. In this paper, we introduce a ...
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Many multiprocessor systems have the ability to broadcast and/or multicast information efficiently. However, this ability is often overlooked when designing algorithms for these systems. In this paper, we introduce a new compression technique that uses efficient multicasting to significantly reduce the amount of information Communicated during parallel and distributed computation, resulting in significantly faster algorithms for Fast Fourier Transforms and sorting on shared memory parallel models with limited bandwidth. These algorithms demonstrate the importance of taking advantage of efficient multicasting. The compression technique uses a new, natural variant of Ramsey theory, which may be of independent interest. (C) 2001 Academic Press.
This paper presents a new direct datacompression technique which has been developed to perform the compression by down-sampling the ECG signal in steps by using a non-redundant template. The removed data samples in t...
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This paper presents a new direct datacompression technique which has been developed to perform the compression by down-sampling the ECG signal in steps by using a non-redundant template. The removed data samples in the process of down-sampling are stored in a data array as non-redundant template. The complete information about the samples amplitude and duration is retained in the compressed samples. The signal Is compressed by a factor of 8 for the signal sampled at 500 Hz or 16 for the signal sampled at 1000 Hz. It has been noted that 100 percent information of the morphology of the original signal is retained in the reconstructed signal. The method is consistent and reliable and can be used for both online and offline ECG datacompression.
Corrosion occurs frequently at the interior or exterior of steel casing pipes used in underground gas storage or oil fields. It causes not only production loss but also environmental pollution. Hence, corrosion monito...
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Corrosion occurs frequently at the interior or exterior of steel casing pipes used in underground gas storage or oil fields. It causes not only production loss but also environmental pollution. Hence, corrosion monitoring and early detection of corrosion pits and wall thinning on casing pipes are considerably important to the gas and petroleum industry. We introduce in this paper a new version of the direct current electromagnetic induction system which is capable of detecting small, isolated corrosion pits and holes on the casing wall. A sensor system based on the direct current electromagnetic induction instrument is coupled to an updated data acquisition system. Information represented by enormous data sensed by the downhole instruments is to be transmitted to the computer logging system on surface, and a wavelet datacompression technique is incorporated. A complete internal/external circumferential survey of corrosion extent on casing pipes can be obtained. Unlike the conventional direct current induction instrument, this system provides all the measured Bur leakage signals and eddy current signals, and hence a full signature logging response. It allows an accurate differentiation of the casing pipe hardware from corrosion, and much easier interpretation of corrosions on casing pipes. To achieve the real time mode during the logging operation, a VLSI integrated circuit realizing the wavelet transform has been designed. Simulations have been conducted, and the integrated circuit has been fabricated. The test results show that the design is advantageous and the circuit performance is satisfying.
This paper is concerned with wavelet based linear transformations for datacompression and feature selection in vibration analysis. Recent developments in wavelet datacompression are summarized. A discussion of vario...
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This paper is concerned with wavelet based linear transformations for datacompression and feature selection in vibration analysis. Recent developments in wavelet datacompression are summarized. A discussion of various types of data including periodic, continuous non-stationary and transient non-stationary signals, are used to show practical aspects of wavelet compression. The analysis employs smooth wavelets and compactly supported wavelets. It has been shown that compression in vibration analysis can be used not only for effective storage and transmission of the data but also for feature selection. A number of different approaches have been presented to show coefficient selection procedures. This includes procedures based on truncated wavelet coefficients according to their amplitude, position and frequency location and a datacompression technique based on optimal wavelet coefficients. (C) 1998 Academic Press Limited.
The dynamic Huffman coding is a datacompression technique, and famous for its flexibility. However, it has not been available for real-time applications because the adaption process is complex. In this paper, we prop...
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The dynamic Huffman coding is a datacompression technique, and famous for its flexibility. However, it has not been available for real-time applications because the adaption process is complex. In this paper, we proposed the architectures for dynamic Huffman coding. Both of the encoder and decoder are constructed by using the CAM-based memory modules. These memory modules parallelly perform the adaption process so that the coding can be efficiently executed. The encoder with the code table containing 32 symbols has been implemented. The simulation results show that the encoder can yield a input throughput of 40 Mbps operating at 40 MHz with 50% compression ratio.
Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG datacompression schemes are presented in two major groups: direct datacompression and transform...
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Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG datacompression schemes are presented in two major groups: direct datacompression and transformation methods. The direct datacompression techniques are ECG differential pulse code modulation (DPCM) and entropy coding, AZTEC, Turning-point, CORTES, Fan and SAPA algorithms, peak-picking, and cycle-to-cycle compression methods. The transformation methods include Fourier, Walsh, and Karhunen-Loeve transforms. The theoretical bases behind the direct ECG datacompression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods. A framework for evaluation and comparison of ECG compression schemes is presented.
A datacompression technique called self-testable and error-propagating space compression is proposed and analyzed. Faults in a realization of Exclusive-OR and Exclusive-NOR gates are analyzed, and the use of these ga...
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A datacompression technique called self-testable and error-propagating space compression is proposed and analyzed. Faults in a realization of Exclusive-OR and Exclusive-NOR gates are analyzed, and the use of these gates in the design of self-testing and error propagating space compressors is discussed. It is argued that the proposed data-compression technique reduce the hardware complexity in built-in self-test (BIST) logic designs using external tester environments
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