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Journal articles on the topic 'Compression set'

Author: Grafiati

Published: 4 May 2024

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1

Eldstål-Ahrens, Albin, Angelos Arelakis, and Ioannis Sourdis. "L ² C: Combining Lossy and Lossless Compression on Memory and I/O." ACM Transactions on Embedded Computing Systems 21, no. 1 (January 31, 2022): 1–27. http://dx.doi.org/10.1145/3481641.

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In this article, we introduce L 2 C, a hybrid lossy/lossless compression scheme applicable both to the memory subsystem and I/O traffic of a processor chip. L 2 C employs general-purpose lossless compression and combines it with state-of-the-art lossy compression to achieve compression ratios up to 16:1 and to improve the utilization of chip’s bandwidth resources. Compressing memory traffic yields lower memory access time, improving system performance, and energy efficiency. Compressing I/O traffic offers several benefits for resource-constrained systems, including more efficient storage and networking. We evaluate L 2 C as a memory compressor in simulation with a set of approximation-tolerant applications. L 2 C improves baseline execution time by an average of 50% and total system energy consumption by 16%. Compared to the lossy and lossless current state-of-the-art memory compression approaches, L 2 C improves execution time by 9% and 26%, respectively, and reduces system energy costs by 3% and 5%, respectively. I/O compression efficacy is evaluated using a set of real-life datasets. L 2 C achieves compression ratios of up to 10.4:1 for a single dataset and on average about 4:1, while introducing no more than 0.4% error.

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2

Bayerl, H. "Compression Set of Silicone Elastomers." International Polymer Science and Technology 36, no. 8 (August 2009): 1–4. http://dx.doi.org/10.1177/0307174x0903600801.

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Compression set is one of the most important properties of rubber, particularly for sealing applications. Nevertheless, this key characteristic is frequently disregarded or misinterpreted when it comes to material selection. Compression set and the method of determining this material property are described by reference to silicone elastomers. Critical parameters influencing compression set are illustrated by means of examples and a comparison is made between established test standards.

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3

Izzard, V. G., C. H. Bradsell, H. Hadavinia, V. J. Morris, P. J. S. Foot, and N. Witten. "Investigation of the Compression Recovery Properties of Polyamide-6 Cellular Solid over the Temperature Range of -5°C to 90°C." Key Engineering Materials 417-418 (October 2009): 933–36. http://dx.doi.org/10.4028/www.scientific.net/kem.417-418.933.

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It is a fundamental response of any polymeric foam material to undergo non-recoverable deformation following the application of a defined compressive strain, exacerbated by temperature and humidity. This process is commonly referred to as compression set. The ability to predict recovery after the application of a compressive strain is crucial to both the manufacturers and end users of foam materials. Specific compression set test procedures have been established to quantify the extent of non-recoverable deformation in specific foam types but to date no general predictive approach exists. In this work, compression set (fixed strain) tests were undertaken on a cellular polyamide-6 material at various temperatures (-5°C to 90°C) and the foam recovery monitored over time periods in excess of those dictated by standard methods (ISO 1856 [1]). An empirical formula has been proposed to allow the prediction of recovery after compressive strain, covering recovery periods from 10 minutes to 24 hours (up to 168 hours at 23°C).

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4

Li, Dalong, and Steven Simske. "Training Set Compression by Incremental Clustering." Journal of Pattern Recognition Research 6, no. 1 (2011): 56–64. http://dx.doi.org/10.13176/11.254.

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5

Turland, Darryl. "Do compression set results measure up?" Sealing Technology 2010, no. 12 (December 2010): 11–13. http://dx.doi.org/10.1016/s1350-4789(10)70589-4.

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6

Meredith, David. "Music Analysis and Point-Set Compression." Journal of New Music Research 44, no. 3 (July 3, 2015): 245–70. http://dx.doi.org/10.1080/09298215.2015.1045003.

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7

Bower, Mark V., and Frank E. Ledbetter. "Predicting compression set in elastomeric materials." Mechanics of Materials 11, no. 3 (May 1991): 177–97. http://dx.doi.org/10.1016/0167-6636(91)90001-g.

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8

Petrosino, Alfredo, and Alessio Ferone. "Rough fuzzy set-based image compression." Fuzzy Sets and Systems 160, no. 10 (May 2009): 1485–506. http://dx.doi.org/10.1016/j.fss.2008.11.011.

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9

Rehm, Torsten. "The compression set of plasticized PVC." Journal of Vinyl and Additive Technology 3, no. 4 (December 1997): 286–91. http://dx.doi.org/10.1002/vnl.10208.

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10

Hayati, Anis Kamilah, and Haris Suka Dyatmika. "THE EFFECT OF JPEG2000 COMPRESSION ON REMOTE SENSING DATA OF DIFFERENT SPATIAL RESOLUTIONS." International Journal of Remote Sensing and Earth Sciences (IJReSES) 14, no. 2 (January 8, 2018): 111. http://dx.doi.org/10.30536/j.ijreses.2017.v14.a2724.

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The huge size of remote sensing data implies the information technology infrastructure to store, manage, deliver and process the data itself. To compensate these disadvantages, compressing technique is a possible solution. JPEG2000 compression provide lossless and lossy compression with scalability for lossy compression. As the ratio of lossy compression getshigher, the size of the file reduced but the information loss increased. This paper tries to investigate the JPEG2000 compression effect on remote sensing data of different spatial resolution. Three set of data (Landsat 8, SPOT 6 and Pleiades) processed with five different level of JPEG2000 compression. Each set of data then cropped at a certain area and analyzed using unsupervised classification. To estimate the accuracy, this paper utilized the Mean Square Error (MSE) and the Kappa coefficient agreement. The study shows that compressed scenes using lossless compression have no difference with uncompressed scenes. Furthermore, compressed scenes using lossy compression with the compression ratioless than 1:10 have no significant difference with uncompressed data with Kappa coefficient higher than 0.8.

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11

Ren, Shuxia, Tao Wu, and Shubo Zhang. "Complex Network Filtering and Compression Algorithm Based on Triangle-Subgraph." Discrete Dynamics in Nature and Society 2020 (June 1, 2020): 1–8. http://dx.doi.org/10.1155/2020/7498605.

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Compressing the data of a complex network is important for visualization. Based on the triangle-subgraph structure in complex networks, complex network filtering compression algorithm based on the triangle-subgraph is proposed. The algorithm starts from the edge, lists nodes of the edge and their common node sets to form a triangle-subgraph set, parses the triangle-subgraph set, and constructs new complex network to complete compression. Before calculating the set of triangle-subgraph, node importance ranking algorithm is proposed to extract high- and low-importance nodes and filter them to reduce computational scale of complex networks. Experimental results show that filtering compression algorithm can not only improve the compression rate but also retain information of the original network at the same time; sorting result analysis and SIR model analysis show that the sorting result of node importance sorting algorithm has accuracy and rationality.

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12

Wahab, A., and A. S. Farid. "Correlation between Compression-Set and Compression Stress-Relaxation of Epichlorohydrin Elastomers." Polymers and Polymer Composites 19, no. 8 (October 2011): 631–38. http://dx.doi.org/10.1177/096739111101900802.

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13

Irsan, Lubis. "Implementasi Algoritma Set Partitioning in Hierarchical Trees (SPIHT) dan Algoritma Huffman Untuk Kompresi File Citra." Bulletin of Computer Science Research 2, no. 2 (April 23, 2022): 34–40. http://dx.doi.org/10.47065/bulletincsr.v2i2.156.

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As technology develops, the process of sending files no longer needs to be done manually. Data or files can be sent electronically via email. The image file size is sometimes very large, where the better the quality of the resulting image, the bigger the pixel size needed to record the image. With a very large image file size, the transfer process may fail, because the media storage space exceeds its limit. The solution to this problem is how the image file can be compressed in order to speed up the transfer and storage of image files. Image compression is done by reducing the size of the image file by reducing the bits in the image file, but not eliminating the information data in it. By compressing, large data will be reduced in size so as to save storage space. In this study, the algorithm used is the Swiss army knife data compression, using this method, the compression results from the value of k have different compression results for each value, and the compression results will be beneficial in sending and moving image files more easily

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14

Zhou, Xichuan, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, and Cheng Zhuo. "An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5949–56. http://dx.doi.org/10.1609/aaai.v33i01.33015949.

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This paper addresses the challenge of designing efficient framework for real-time object detection and image compression. The proposed Compressive Convolutional Network (CCN) is basically a compressive-sensing-enabled convolutional neural network. Instead of designing different components for compressive sensing and object detection, the CCN optimizes and reuses the convolution operation for recoverable data embedding and image compression. Technically, the incoherence condition, which is the sufficient condition for recoverable data embedding, is incorporated in the first convolutional layer of the CCN model as regularization; Therefore, the CCN convolution kernels learned by training over the VOC and COCO image set can be used for data embedding and image compression. By reusing the convolution operation, no extra computational overhead is required for image compression. As a result, the CCN is 3.1 to 5.0 fold more efficient than the conventional approaches. In our experiments, the CCN achieved 78.1 mAP for object detection and 3.0 dB to 5.2 dB higher PSNR for image compression than the examined compressive sensing approaches.

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Tao, Dingwen, Sheng Di, Hanqi Guo, Zizhong Chen, and Franck Cappello. "Z-checker: A framework for assessing lossy compression of scientific data." International Journal of High Performance Computing Applications 33, no. 2 (November 15, 2017): 285–303. http://dx.doi.org/10.1177/1094342017737147.

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Because of the vast volume of data being produced by today’s scientific simulations and experiments, lossy data compressor allowing user-controlled loss of accuracy during the compression is a relevant solution for significantly reducing the data size. However, lossy compressor developers and users are missing a tool to explore the features of scientific data sets and understand the data alteration after compression in a systematic and reliable way. To address this gap, we have designed and implemented a generic framework called Z-checker. On the one hand, Z-checker combines a battery of data analysis components for data compression. On the other hand, Z-checker is implemented as an open-source community tool to which users and developers can contribute and add new analysis components based on their additional analysis demands. In this article, we present a survey of existing lossy compressors. Then, we describe the design framework of Z-checker, in which we integrated evaluation metrics proposed in prior work as well as other analysis tools. Specifically, for lossy compressor developers, Z-checker can be used to characterize critical properties (such as entropy, distribution, power spectrum, principal component analysis, and autocorrelation) of any data set to improve compression strategies. For lossy compression users, Z-checker can detect the compression quality (compression ratio and bit rate) and provide various global distortion analysis comparing the original data with the decompressed data (peak signal-to-noise ratio, normalized mean squared error, rate–distortion, rate-compression error, spectral, distribution, and derivatives) and statistical analysis of the compression error (maximum, minimum, and average error; autocorrelation; and distribution of errors). Z-checker can perform the analysis with either coarse granularity (throughout the whole data set) or fine granularity (by user-defined blocks), such that the users and developers can select the best fit, adaptive compressors for different parts of the data set. Z-checker features a visualization interface displaying all analysis results in addition to some basic views of the data sets such as time series. To the best of our knowledge, Z-checker is the first tool designed to assess lossy compression comprehensively for scientific data sets.

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16

Li, Guang Ming, and Zhen Qi He. "Embedded Image Compression Algorithm and FPGA Implementation Based on BP Neural Networks." Applied Mechanics and Materials 65 (June 2011): 415–18. http://dx.doi.org/10.4028/www.scientific.net/amm.65.415.

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At present, because more embedded image compressions are single, various compression methods have not transplant to embedded equipment. In this paper, A BP neural network based image compression methods have been proposed. The neural network is trained more and more, and obtained a set of weights and thresholds usefully. Then, use the FPGA to achieve, In the FPGA, using the framework of soft-core Nios Ⅱ way. Ultimately, compression program written using Verilog and burned into the FPGA. Experiments show that the system has the advantages of high compression ratio, small size, and can stable operation.

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17

Hu, Jiwei, Yue Hong, Qiwen Jin, Guangpeng Zhao, and Hongyang Lu. "An Efficient Dual-Stage Compression Model for Maritime Safety Information Based on BeiDou Short-Message Communication." Journal of Marine Science and Engineering 11, no. 8 (July 30, 2023): 1521. http://dx.doi.org/10.3390/jmse11081521.

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In the context of utilizing BeiDou short-message communication (SMC) for transmitting maritime safety information, challenges arise regarding information redundancy and limited message length. To address these issues, compressing the data content of SMC becomes essential. This paper proposes a dual-stage compression model based on Beidou SMC for compressing maritime safety information, aiming to achieve efficient compression and reduce information redundancy. In the first stage, a binary encoding method (MBE) specifically designed for maritime safety information is proposed to optimize the byte space of the short messages, ensuring the accuracy, integrity, and reliability of the information. In the second stage, we propose a data compression algorithm called XH based on a hash dictionary, which efficiently compresses maritime safety information and reduces information redundancy. Different maritime data have corresponding structures and compositions, which can have a significant impact on the evaluation of compression algorithms. We create a database considering six categories of objects: waves, sea ice, tsunamis, storms, weather, and navigation warnings. Experimental results demonstrate that the proposed model achieves significant compression efficiency and performance on the maritime safety data set, outperforming other benchmark algorithms.

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18

Lu, Yu, Mingxia Shen, Xiaodong Ding, Yiwu Quan, and Qingmin Chen. "Compression set property and stress-strain behavior during compression of polysulfide sealants." Journal of Applied Polymer Science 115, no. 3 (October 7, 2009): 1718–23. http://dx.doi.org/10.1002/app.31198.

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19

Artieri, A., and O. Colavin. "A chip set core for image compression." IEEE Transactions on Consumer Electronics 36, no. 3 (1990): 395–402. http://dx.doi.org/10.1109/30.103150.

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20

Tolliver, Chris, and David Clark. "Identifying important variables in compression set testing." Sealing Technology 2014, no. 5 (May 2014): 7–11. http://dx.doi.org/10.1016/s1350-4789(14)70185-0.

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21

Shah, I. A., O. Akiwumi-Assani, and B. Johnson. "A chip set for lossless image compression." IEEE Journal of Solid-State Circuits 26, no. 3 (March 1991): 237–44. http://dx.doi.org/10.1109/4.75001.

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22

Ehabe, Ejolle E., and Saeed A. Farid. "Chemical kinetics of vulcanisation and compression set." European Polymer Journal 37, no. 2 (February 2001): 329–34. http://dx.doi.org/10.1016/s0014-3057(00)00112-9.

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23

Yusha, V. L., and S. S. Busarov. "Method for calculating actual capacity of single-stage long-stroke reciprocating compressors." Omsk Scientific Bulletin. Series Aviation-Rocket and Power Engineering 4, no. 4 (2020): 9–15. http://dx.doi.org/10.25206/2588-0373-2020-4-4-9-15.

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The article presents a generalized method for calculating the actual performance of low-speed longstroke air compressor stages of compression, based on determining the flow rate as a set of coefficients reflecting the influence of various factors on productivity losses. The method takes into account the design and operating features of low-speed long-stroke air compressor stages of compression and differs significantly from a similar method used to calculate high-speed stages of reciprocating compressors

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24

Li, Jin, Fei Xing, and Zheng You. "Compression of Multispectral Images with Comparatively Few Bands Using Posttransform Tucker Decomposition." Mathematical Problems in Engineering 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/296474.

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Up to now, data compression for the multispectral charge-coupled device (CCD) images with comparatively few bands (MSCFBs) is done independently on each multispectral channel. This compression codec is called a “monospectral compressor.” The monospectral compressor does not have a removing spectral redundancy stage. To fill this gap, we propose an efficient compression approach for MSCFBs. In our approach, the one dimensional discrete cosine transform (1D-DCT) is performed on spectral dimension to exploit the spectral information, and the posttransform (PT) in 2D-DWT domain is performed on each spectral band to exploit the spatial information. A deep coupling approach between the PT and Tucker decomposition (TD) is proposed to remove residual spectral redundancy between bands and residual spatial redundancy of each band. Experimental results on multispectral CCD camera data set show that the proposed compression algorithm can obtain a better compression performance and significantly outperforms the traditional compression algorithm-based TD in 2D-DWT and 3D-DCT domain.

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25

Li, Hong Qiao, Tong Hui Yue, and Zhi Hai Guo. "Experimental Study on Compressive Performance of Polyurethane Composite Panel." Advanced Materials Research 634-638 (January 2013): 2693–96. http://dx.doi.org/10.4028/www.scientific.net/amr.634-638.2693.

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Through compressive test on 18 polyurethane composite panels in 4 groups, observing their failure characteristics under compression, getting test result on compressive performance and load-deformation curve, analyzing failure reason, which will set the foundation for further experimental study and theoretical analysis.

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Sudarsono, Anak Agung Putu Susastriawan, I Gusti Badrawada, Hary Wibowo, and Dwi Laras Indrajati. "The Effect of Compression Ratio on Performance of Generator Set Fuelled with Raw Biogas." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 89, no. 1 (December 5, 2021): 185–95. http://dx.doi.org/10.37934/arfmts.89.1.185195.

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In order to utilize a raw biogas as a fuel of generator set (gen-set), it is important to figure out optimum operating parameter of the gen-set, i.e. compression ratio. The present work aims to investigate the effect of compression ratio on performance of 3 kW gen-set fuelled with raw biogas and to obtain optimum compression ratio for operation of the gen-set on raw biogas. The gen-set used in the present work is bi-fuel engine, i.e. fuelled with gasoline or LPG. The performance of the engine fuelled with raw biogas in terms of brake power, brake torque, brake specific fuel consumption, and thermal efficiency is evaluated at compression ratio of 7.5, 8.5, 9.5, and 10.5. The work is carried out under electrical load of 240, 420, and 600 Watt. The result indicates that compression ratio affects the rotational speed, brake power, brake torque, brake specific fuel consumption, and thermal efficiency of the gen-set. Optimum compression ratio for the gen-set fuelled with raw biogas is 9.5. At the optimum compression ratio, maximum brake power, brake torque, and thermal efficiency of are 450.37 W, 1.66 Nm, and 46.93%, respectively. Minimum brake specific fuel is 0.59 kg/kWh at the optimum compression ratio.

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27

Wang, Junfeng, Kai Yang, Wanzhao Li, Xinzhou Wang, Jan Van den Bulcke, and Joris Van Acker. "The Impact of Earlywood and Latewood on the Compressive Stress of Thermally Modified Douglas Fir." Forests 14, no. 7 (July 5, 2023): 1376. http://dx.doi.org/10.3390/f14071376.

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Thermal modification can increase the physical stability and impact the mechanical strength of wood. It is necessary to understand the effects of modifications on the compressive stress of wood. In this study, Douglas fir (Pseudotsuga menziessi) blocks were modified at 180 °C (TM-180 °C) and 210 °C (TM-210 °C). The compressive stress of pure earlywood (EW), pure latewood (LW), and combined earlywood and latewood (ELW) specimens was measured. The specimens were compressed at 30% of their original thickness, and during the compression test the strain distribution of the ELW was recorded. In addition, the microstructures before and after compression were investigated, complemented with SEM to understand the structural changes taking place. The results showed that the compressive stress of the TM-180 °C specimens was the highest because the thermal modification increased the stiffness of cell walls and the homogenized strain distribution in the ELW specimens. The control specimens had a higher compression set recovery rate than the thermally modified specimens. The tracheid cell walls in the EW and LW specimens were flattened and buckled, respectively, due to compression. In the thermally modified materials, cell wall fissures and wood ray fractures in the EW and LW specimens, respectively, were observed. For the ELW specimens, the structural changes in the latewood were not obvious and the structural changes in the earlywood were less significant than in the full EW specimens. Compared to the EW specimens, the earlywood in the ELW specimens showed higher compression set recovery rates. It seems that structural failure in earlywood is limited when used in combination with latewood, resulting from the homogenized strain distribution in earlywood.

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Surya, Indra, Siti Nurul Izzati Kudori, and Hanafi Ismail. "Effect of partial replacement of kenaf by empty fruit bunch (EFB) on the properties of natural rubber latex foam (NRLF)." BioResources 14, no. 4 (October 11, 2019): 9375–91. http://dx.doi.org/10.15376/biores.14.4.9375-9391.

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Kenaf was replaced by various amounts of empty fruit bunch (EFB) in natural rubber latex foam (NRLF). Five different compositions of kenaf/EFB (7/0, 5/2, 3.5/3.5, 2/5, 0/7 phr) were prepared by using the Dunlop method. The comparison of tensile properties, morphology, foam density, compressive strength, hardness, swelling, compression set, and accelerated aging of natural rubber latex foam (NRLF) were studied. The tensile strength, modulus at 100% (M100), foam density, compressive strength, hardness, and compression set decreased with increasing EFB loading. However, the elongation at break and swelling percentage of NRLF increased as the content of EFB decreased. Morphological studies showed that a higher amount of EFB weakened the interaction between EFB and NRLF matrix and increased the formation of cell windows. The EFB-filled NRLF also showed better tensile retention compared to kenaf filled NRLF.

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29

Chen, Yu-Hui, Shang-Tse Ho, and Han-Chien Lin. "Evaluation of Physico-Mechanical Properties and Thermal Conduction to Energy-Saving Effects of Wood Compression Layered Structural Materials." Polymers 15, no. 15 (July 28, 2023): 3208. http://dx.doi.org/10.3390/polym15153208.

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In this study, specimens were prepared from Japanese cedar (Cryptomeria japonica) with different thicknesses to determine the best hot-pressing conditions for wood compression layered structural materials (WCLS) through densification at various temperatures and compressing time conditions. However, residual stress-releasing after densification recovery can cause dimensional instability. To address this issue, the drying set method was combined with the compression-set recovery test to determine the best setting time. As a result, the bending strength and modulus of rupture (MOR) of WCLS increased by 9.98 ± 9.71 to 20.87 ± 13.09% and the modulus of elasticity (MOE) increased by 9.87 ± 11.92 to 22.40 ± 17.97%. The volumetric swelling coefficient (S), water absorption percent (WAP), and equivalent moisture content (EMC) decreased as the drying time increased. The anti-swelling efficiency (ASE) and moisture excluding efficiency (MEE) were found to be the highest at a drying time of 12 h, with values ranging from 13.20 ± 15.11 to 36.46 ± 6.83% and 15.18 ± 1.11 to 19.58 ± 8.31%, respectively. The drying method was found to be effective in increasing dimensional stability. The glass transition temperature (Tg) moved to a lower temperature as the compression-set increased, which was due to plasticization of wood caused by high temperature and pressure. The cell walls of WCLS presented viscous buckling, which provided effective dimensional stability. The thermal conductivity of Japanese cedar and each compression-set WCLS were 0.1863 ± 0.0071, 0.1520 ± 0.0147, 0.1817 ± 0.0106, and 0.1423 ± 0.0137 W/mK, respectively. The thermal conductivity of each WCLS increased with an increase in compression-set, but decreased by 10.67 to 22.52% compared to Japanese cedar. The total electricity energy consumption of each WCLS after 24 h of testing decreased with a trend of 30.50 ± 0.84, 29.83 ± 0.42, 29.57 ± 0.51, and 29.4 ± 0.36 kWH.

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30

Geiselman, Eric E., and Robert K. Osgood. "Toward an Empirically Based Helmet-Mounted Display Symbology Set." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 1 (October 1993): 93–97. http://dx.doi.org/10.1177/154193129303700123.

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The helmet-mounted display (HMD) affords continuous availability of critical flight information independent of head orientation. With appropriate information presented on a HMD, aircraft control can be maintained regardless of where the pilot is looking. This research addresses the development of an empirically based HMD symbol set. Three attitude formats and three altitude formats were evaluated within a composite fixed-wing HMD symbology layout. The attitude formats varied in basic form and symbol compression ratio. Symbol compression ratio is the ratio of the angle represented by the symbol to the symbol's subtended visual angle. High symbol compression results in symbols which represent large angles, and therefore have slow rate-of-motion relative to their uncompressed counterparts. The altitude symbologies were formed of both vertical scale and dial formats and included vertical velocity indicators. Subjects performed a flight-path maintenance task within sessions of differing “real” horizon presence and orientation. The formats were evaluated under a task which was designed to require high-accuracy flight-path maintenance. This type of task is traditionally thought to require less symbol compression. The results showed that performance was influenced by the manipulation of the attitude symbology formats. The results also suggest that symbol compression may be advantageous.

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Liu, Bo, Qilin Wu, Yiwen Zhang, and Qian Cao. "Exploiting the Relationship between Pruning Ratio and Compression Effect for Neural Network Model Based on TensorFlow." Security and Communication Networks 2020 (April 30, 2020): 1–8. http://dx.doi.org/10.1155/2020/5218612.

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Pruning is a method of compressing the size of a neural network model, which affects the accuracy and computing time when the model makes a prediction. In this paper, the hypothesis that the pruning proportion is positively correlated with the compression scale of the model but not with the prediction accuracy and calculation time is put forward. For testing the hypothesis, a group of experiments are designed, and MNIST is used as the data set to train a neural network model based on TensorFlow. Based on this model, pruning experiments are carried out to investigate the relationship between pruning proportion and compression effect. For comparison, six different pruning proportions are set, and the experimental results confirm the above hypothesis.

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32

Sha, Lina, Wei Wu, and Bingbing Li. "Image set compression for similar images with priorities." Electronics Letters 55, no. 5 (March 2019): 262–64. http://dx.doi.org/10.1049/el.2018.7342.

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33

Sonnenschein, Mark F., Robbyn Prange, and Alan K. Schrock. "Mechanism for compression set of TDI polyurethane foams." Polymer 48, no. 2 (January 2007): 616–23. http://dx.doi.org/10.1016/j.polymer.2006.11.021.

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34

Ying Wang. "A set of transformations for lossless image compression." IEEE Transactions on Image Processing 4, no. 5 (May 1995): 677–79. http://dx.doi.org/10.1109/83.382501.

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Habeeb, Shahany, and Syam Gopi. "Identifying Data Set Texture using Normalized Compression Distance." International Journal of Engineering Trends and Technology 29, no. 3 (November 25, 2015): 117–22. http://dx.doi.org/10.14445/22315381/ijett-v29p223.

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36

YAMAMOTO, Noriaki, Keiichi AKIMOTO, Yukio KOBAYASHI, Taizo SAKO, and Yoshitomo YAMAMOTO. "The study of polychloroprene comoounds improved compression set." NIPPON GOMU KYOKAISHI 64, no. 1 (1991): 48–54. http://dx.doi.org/10.2324/gomu.64.48.

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Spetz, Göran. "New instrument for rapid testing of compression set." Polymer Testing 14, no. 2 (1995): 203–8. http://dx.doi.org/10.1016/0142-9418(95)93198-a.

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Bluhm, Andreas, Lukas Rauber, and Michael M. Wolf. "Quantum Compression Relative to a Set of Measurements." Annales Henri Poincaré 19, no. 6 (March 17, 2018): 1891–937. http://dx.doi.org/10.1007/s00023-018-0660-z.

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Liu, Jie, Deng Jun Yi, Jian Cai, Shi Wei Luo, and Lei Xiao. "Under Uniaxial Compression of Rock Specimens of Two Cracking of Shear Failure Mode Analysis." Advanced Materials Research 415-417 (December 2011): 1553–57. http://dx.doi.org/10.4028/www.scientific.net/amr.415-417.1553.

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The dissertation introduced first simple uniaxial compression test of concrete, and in the specimen under uniaxial compression of the breakage mode reinforced and improved. For tensile destruction and shear failure damage model, bring forward the corresponding calculation model and some model set up compressive strength and tensile strength of the interrelations with each other, analysis of compressive strength and much higher than the tensile strength.In addition, from different model, drew diagrams with Matlab software，analysis of the compressive strength and tensile strength of the intrinsic value of relations.Finally, model for the primary split breakage and that shear failure can be ignored, used the buckling theory and the theory of mutation analysis, and calculated the corresponding critical stress.

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Sitohang, Norenta. "Penerapan Metode Five Modulus Dalam Mengkompresi File Dokumen (PDF) Pengembangan Bahan Ajar." Jurnal Sains Informatika Terapan 2, no. 1 (January 16, 2023): 1–5. http://dx.doi.org/10.62357/jsit.v2i1.110.

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PDF files are one of the document files that are classified as having sufficient size larger than other document files. Currently, the use of applications as information is increasing commonly used. But there is a problem that is often encountered, namely the need for a safe place great for storage. Therefore, compression is needed to reduce the size of the application data. Data compression is a process of converting a set of data into a form of code to reduce the need for data storage space. The Five Modulus method is wrong a data compression algorithm. To find out the results of the compression process is done through the ratio compression and space saving. The results to be known, the compression ratio and space saving. According to the test results The tests that were carried out show that the data that originally had a larger size can be very well compressed on the application of the Five Modulus method in compressing document files (PDF).

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Šmída, Zdeněk, Kamil Kolarčík, and Stanislav Honus. "Ideal mathematical model of shock compression and shock expansion." Open Engineering 9, no. 1 (December 30, 2019): 683–96. http://dx.doi.org/10.1515/eng-2019-0079.

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AbstractShock compression and expansion are phenomena which occur mainly in screw or vane compressors. They occur when there is an imbalance in the built-in and total pressure ratio. These are phenomena that have a negative impact on the operation of these machines and, in general, cause instability in operation, an increase in energy consumption and an overall worsening of the operational economy. The aim of this article is to present newly discovered information regarding making work processes of said compressors more effective, as in many cases, shock phenomena are subconsciously underestimated. The set aim was reached by creating an ideal simulation of isothermal compression of an ideal gas with the implementation of shock phenomena, which were performed on a screw compressor with the operating pressure 7 bar and a flow performance of 3 440 l min−1. Based on the simulations performed, the hypotheses which set forth that the impact of shock phenomena ultimately leads to a sudden increase in compressor power consumption were confirmed. E.g. at 6 bar, the instantaneous power consumption increases by about 5.74% during shock compression and by about 55.95% during shock expansion. This paper deals with new insights and at the same time presents the follow-up research.

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Megawati Siburian, Rita, Mesran, and Henry K Siburian. "Perancangan Aplikasi Kompresi File Video Menggunakan Algritma SPIHT (Set Partioning In Hirarcical Tress)." Bulletin of Computer Science Research 3, no. 2 (February 28, 2023): 177–82. http://dx.doi.org/10.47065/bulletincsr.v3i2.158.

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Video files have a large enough capacity, and to access them takes a long time, so a data compression technique is needed. In this case the video file will be compressed using the SPIHT (Set Partitioning In Hierarchical Trees) algorithm, SPIHT (Set Partitioning In Hierarchical Trees) is a video file compression capable of achieving a high compression ratio. Problems that arise due to the large file size include the wasteful storage media used, as well as more time in terms of data exchange, data transfer over the internet is a big problem in Indonesia because of the very low download and upload speeds. To overcome this problem, data compression techniques are needed. The concept of compression was born as a real solution to problems regarding the space needed to store various digital files, including the MKV (Matroska Video) format video files. The compression technique is a technique that compresses files so that they become smaller in size while maintaining the quality of the representation of the file. Through the compression process of MKV (Matroska video) format video files using the SPIHT (Set Partioning In Hirarcical Tress) algorithm, it is hoped that in the future this compression system will have a major effect on video file storage and can increase storage and it is also hoped that this algorithm can be used for other objects to be compressed.

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Foks, Nathan Leon, Richard Krahenbuhl, and Yaoguo Li. "Adaptive sampling of potential-field data: A direct approach to compressive inversion." GEOPHYSICS 79, no. 1 (January 1, 2014): IM1—IM9. http://dx.doi.org/10.1190/geo2013-0087.1.

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Compressive inversion uses computational algorithms that decrease the time and storage needs of a traditional inverse problem. Most compression approaches focus on the model domain, and very few, other than traditional downsampling focus on the data domain for potential-field applications. To further the compression in the data domain, a direct and practical approach to the adaptive downsampling of potential-field data for large inversion problems has been developed. The approach is formulated to significantly reduce the quantity of data in relatively smooth or quiet regions of the data set, while preserving the signal anomalies that contain the relevant target information. Two major benefits arise from this form of compressive inversion. First, because the approach compresses the problem in the data domain, it can be applied immediately without the addition of, or modification to, existing inversion software. Second, as most industry software use some form of model or sensitivity compression, the addition of this adaptive data sampling creates a complete compressive inversion methodology whereby the reduction of computational cost is achieved simultaneously in the model and data domains. We applied the method to a synthetic magnetic data set and two large field magnetic data sets; however, the method is also applicable to other data types. Our results showed that the relevant model information is maintained after inversion despite using 1%–5% of the data.

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Shan, Bao Tang, Fa Nian Wang, and Juan Gao. "A New Compression Method for Bayer Color Filter Array Images." Applied Mechanics and Materials 321-324 (June 2013): 1219–24. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1219.

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In order to improve the compression performance of Bayer CFA images exposed continuously, a new high performance remainder set near-lossless compression method is presented. Based on channel-separated-filtering, several typical Bayer CFA image compression methods are compared with the proposed remainder set algorithm. It is proved that the remainder set algorithm has not only the better compression performance, i.e., the lower bits per pixel (average about 2.16bpp), but also the better reconstructed CFA image PSNR (average about 52.31dB). Finally, the proposed method is employed in a multiple channel CMOS image sampling system and some test results are given.

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Ju, Young Hun, and Jong Wan Hu. "Experimental Study on the Behavior of Polyurethane Springs for Compression Members." Applied Sciences 11, no. 21 (November 1, 2021): 10223. http://dx.doi.org/10.3390/app112110223.

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In this study, the characteristics of the compression behavior of polyurethane springs that can be used as compression members of seismic devices, such as dampers and seismic isolators, were identified, and the effect of the design variables on the performance points of polyurethane springs was investigated. Compressive stiffness and specimen size were set as the design variables of the polyurethane spring, and the performance indicators were set as maximum force, residual strain, and energy dissipation. A total of 40 specimens with different conditions were fabricated and a cyclic loading test was performed to obtain the force-displacement curve of the polyurethane spring and to check the performance indicator. Significant strength degradation was confirmed after the first cycle by repeated loading, and it was confirmed that compressive stiffness and size demonstrated a linear proportional relationship with maximum force. In addition, the design variables did not make a significant change to the recovered strain, including residual strain, and residual strain of about 1% to 3% occurred. Energy dissipation showed a tendency to decrease by about 60% with strength degradation after the first cycle, and this also demonstrated no relationship with the design variables. Finally, the relationship between the design variables and performance indicators set in this study was reviewed and suggestions are presented for developing a simple design formula for polyurethane springs.

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Sparacino, Matthew G., Harry W. Shenton, and Peter Weykamp. "Compression Set in Closed-Cell Foam Bridge Expansion Joints." Journal of Bridge Engineering 23, no. 1 (January 2018): 04017122. http://dx.doi.org/10.1061/(asce)be.1943-5592.0001180.

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Patel, Mogon, Sarah Chinn, Robert S. Maxwell, Thomas S. Wilson, and Stephen A. Birdsell. "Compression set in gas-blown condensation-cured polysiloxane elastomers." Polymer Degradation and Stability 95, no. 12 (December 2010): 2499–507. http://dx.doi.org/10.1016/j.polymdegradstab.2010.07.038.

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Thao, N. T., and M. Vetterli. "Set theoretic compression with an application to image coding." IEEE Transactions on Image Processing 7, no. 7 (July 1998): 1051–56. http://dx.doi.org/10.1109/83.701165.

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Malgouyres, F. "Image Compression Through a Projection onto a Polyhedral Set." Journal of Mathematical Imaging and Vision 27, no. 2 (August 14, 2006): 193–200. http://dx.doi.org/10.1007/s10851-006-9000-x.

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Ruetz, P. A., P. Tong, D. Bailey, P. A. Luthi, and P. H. Ang. "A high-performance full-motion video compression chip set." IEEE Transactions on Circuits and Systems for Video Technology 2, no. 2 (June 1992): 111–22. http://dx.doi.org/10.1109/76.143411.

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