Relevant bibliographies by topics / Hyper-compression

Academic literature on the topic 'Hyper-compression'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Hyper-compression"

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Wenbin, Wu, Yue Wu, and Jintao Li. "The Hyper-spectral Image Compression Based on K-Means Clustering and Parallel Prediction Algorithm*." MATEC Web of Conferences 173 (2018): 03071. http://dx.doi.org/10.1051/matecconf/201817303071.

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In this paper, we propose a lossless compression algorithm for hyper-spectral images with the help of the K-Means clustering and parallel prediction. We use K-Means clustering algorithm to classify hyper-spectral images, and we obtain a number of two dimensional sub images. We use the adaptive prediction compression algorithm based on the absolute ratio to compress the two dimensional sub images. The traditional prediction algorithm is adopted in the serial processing mode, and the processing time is long. So we improve the efficiency of the parallel prediction compression algorithm, to meet the needs of the rapid compression. In this paper, a variety of hyper-spectral image compression algorithms are compared with the proposed method. The experimental results show that the proposed algorithm can effectively improve the compression ratio of hyper-spectral images and reduce the compression time effectively.
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Wu, Wenbin, Yue Wu, and Xu Qiao. "Parallel Compression Based on Prediction Algorithm of Hyper-spectral Imagery." MATEC Web of Conferences 173 (2018): 03070. http://dx.doi.org/10.1051/matecconf/201817303070.

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Along with the development of the spectral imaging technology, the precision of the hyper-spectral imagery becomes very high, and the size of the hyper-spectral imagery becomes very large. In order to solve the problem of the transmission and the storage, it is necessary to research the compression algorithm. The traditional prediction algorithm is adopted in the serial processing mode, and the processing time is long. In this paper, we improve the efficiency of the parallel prediction compression algorithm, to meet the needs of the rapid compression. We select bands along the direction of spectral or the direction of space, so that the hyper-spectral imagery can be divided into sub images. We number the sub images, then send them to different processing units. Each unit does compression tasks at the same time. This paper also compares the relationship between the processing unit number and the compression time. The experiment shows that, the parallel predictive compression algorithm can improve the efficiency of compression effectively.
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JEŻ, ARTUR, and ANDREAS MALETTI. "HYPER-MINIMIZATION FOR DETERMINISTIC TREE AUTOMATA." International Journal of Foundations of Computer Science 24, no. 06 (September 2013): 815–30. http://dx.doi.org/10.1142/s0129054113400200.

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Hyper-minimization is a recent automaton compression technique that can reduce the size of an automaton beyond the limits imposed by classical minimization. The additional compression power is enabled by allowing a finite difference in the represented language. The necessary theory for hyper-minimization is developed for (bottom-up) deterministic tree automata. The hyper-minimization problem for deterministic tree automata is reduced to the hyper-minimization problem for deterministic finite-state string automata, for which fast algorithms exist. The fastest algorithm obtained in this way runs in time [Formula: see text], where m is the size of the transition table and n is the number of states of the input tree automaton.
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Malachy, Ronan, Nicholas Ward, Robert Sazdov, and Hyunkook Lee. "The Perception of Hyper-Compression by Mastering Engineers." Journal of the Audio Engineering Society 65, no. 7/8 (August 15, 2017): 613–21. http://dx.doi.org/10.17743/jaes.2017.0023.

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Wen, Jia, Caiwen Ma, and Junsuo Zhao. "FIVQ algorithm for interference hyper-spectral image compression." Optics Communications 322 (July 2014): 97–104. http://dx.doi.org/10.1016/j.optcom.2014.02.016.

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Sucharitha, B., and Dr K. Anitha Sheela. "Compression of Hyper Spectral Images using Tensor Decomposition Methods." International Journal of Circuits, Systems and Signal Processing 16 (October 7, 2022): 1148–55. http://dx.doi.org/10.46300/9106.2022.16.138.

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Tensor decomposition methods have beenrecently identified as an effective approach for compressing high-dimensional data. Tensors have a wide range of applications in numerical linear algebra, chemo metrics, data mining, signal processing, statics, and data mining and machine learning. Due to the huge amount of information that the hyper spectral images carry, they require more memory to store, process and send. We need to compress the hyper spectral images in order to reduce storage and processing costs. Tensor decomposition techniques can be used to compress the hyper spectral data. The primary objective of this work is to utilize tensor decomposition methods to compress the hyper spectral images. This paper explores three types of tensor decompositions: Tucker Decomposition (TD_ALS), CANDECOMP/PARAFAC (CP) and Tucker_HOSVD (Higher order singular value Decomposition) and comparison of these methods experimented on two real hyper spectral images: the Salinas image (512 x 217 x 224) and Indian Pines corrected (145 x 145 x 200). The PSNR and SSIM are used to evaluate how well these techniques work. When compared to the iterative approximation methods employed in the CP and Tucker_ALS methods, the Tucker_HOSVD method decomposes the hyper spectral image into core and component matrices more quickly. According to experimental analysis, Tucker HOSVD's reconstruction of the image preserves image quality while having a higher compression ratio than the other two techniques.
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Hu, Yueyu, Wenhan Yang, and Jiaying Liu. "Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11013–20. http://dx.doi.org/10.1609/aaai.v34i07.6736.

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Approaches to image compression with machine learning now achieve superior performance on the compression rate compared to existing hybrid codecs. The conventional learning-based methods for image compression exploits hyper-prior and spatial context model to facilitate probability estimations. Such models have limitations in modeling long-term dependency and do not fully squeeze out the spatial redundancy in images. In this paper, we propose a coarse-to-fine framework with hierarchical layers of hyper-priors to conduct comprehensive analysis of the image and more effectively reduce spatial redundancy, which improves the rate-distortion performance of image compression significantly. Signal Preserving Hyper Transforms are designed to achieve an in-depth analysis of the latent representation and the Information Aggregation Reconstruction sub-network is proposed to maximally utilize side-information for reconstruction. Experimental results show the effectiveness of the proposed network to efficiently reduce the redundancies in images and improve the rate-distortion performance, especially for high-resolution images. Our project is publicly available at https://huzi96.github.io/coarse-to-fine-compression.html.
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Li, Jin, and Zilong Liu. "Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition." Open Physics 15, no. 1 (December 29, 2017): 992–96. http://dx.doi.org/10.1515/phys-2017-0123.

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AbstractNonnegative tensor Tucker decomposition (NTD) in a transform domain (e.g., 2D-DWT, etc) has been used in the compression of hyper-spectral images because it can remove redundancies between spectrum bands and also exploit spatial correlations of each band. However, the use of a NTD has a very high computational cost. In this paper, we propose a low complexity NTD-based compression method of hyper-spectral images. This method is based on a pair-wise multilevel grouping approach for the NTD to overcome its high computational cost. The proposed method has a low complexity under a slight decrease of the coding performance compared to conventional NTD. We experimentally confirm this method, which indicates that this method has the less processing time and keeps a better coding performance than the case that the NTD is not used. The proposed approach has a potential application in the loss compression of hyper-spectral or multi-spectral images
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MALETTI, ANDREAS, and DANIEL QUERNHEIM. "UNWEIGHTED AND WEIGHTED HYPER-MINIMIZATION." International Journal of Foundations of Computer Science 23, no. 06 (September 2012): 1207–25. http://dx.doi.org/10.1142/s0129054112400485.

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Hyper-minimization of deterministic finite automata (DFA) is a recently introduced state reduction technique that allows a finite change in the recognized language. A generalization of this lossy compression method to the weighted setting over semifields is presented, which allows the recognized weighted language to differ for finitely many input strings. First, the structure of hyper-minimal deterministic weighted finite automata is characterized in a similar way as in classical weighted minimization and unweighted hyper-minimization. Second, an efficient hyper-minimization algorithm, which runs in time [Formula: see text], is derived from this characterization. Third, the closure properties of canonical regular languages, which are languages recognized by hyper-minimal DFA, are investigated. Finally, some recent results in the area of hyper-minimization are recalled.
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YIN Chuan-li, 尹传历, and 李嘉全 LI Jia-quan. "Embedded Hyper-Spectral Image Compression System Based on Bit-plane." Chinese Journal of Liquid Crystals and Displays 27, no. 2 (2012): 245–49. http://dx.doi.org/10.3788/yjyxs20122702.0245.

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Dissertations / Theses on the topic "Hyper-compression"

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Aspegren, Emil. "Mastering Engineers, Loudness and Hyper-Compression : A survey about practises, application goals and ideas about how they impact quality." Thesis, Luleå tekniska universitet, Medier ljudteknik och upplevelseproduktion och teater, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-69322.

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The loudness wars have been a frequently debated topic in the audio industry. Earlier research has been done on the technical and perceptual effects of loudness and so called hyper- compression but little research has been done to investigate the opinions of the mastering engineers, those who are applying the processing. This research is set out to understand the practise and goals of mastering engineers relating to loudness and hyper-compression, trying to broaden the subject with the viewpoint of those responsible for applying this loudness processing. The goal was to find commonalities amongst the engineers regarding the topic and to investigate the reasoning of the engineers. The study is based of five semi-structured interviews with professional mastering engineers. The interviews were conducted over Skype and the analysis was of a grounded method, originating from three main categories; commercial, technical and aesthetic, and subcategories were generated by the interviews. The research showed that the use of loudness and hyper-compression is multifaceted, with different goals depending on who the user is. There seems to be a strong connection between the loudness processing and genre, that genre often dictates how the processing is used. The research also found that there is a common opinion towards a standardisation of loudness normalisation in streaming services.
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Bonin, Vincent. "Modélisation analytique de la formation du copeau durant le procédé de déroulage du bois de hêtre." Phd thesis, Paris, ENSAM, 2006. http://pastel.archives-ouvertes.fr/pastel-00002062.

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Le procédé de déroulage est un procédé de coupe orthogonale du bois vert dont l'arête de coupe est parallèle à la fibre et dont la valeur ajouté est apportée au copeau. L'enjeu actuel est de d'augmenter la déroulabilité du Douglas français ainsi que de déterminer celle des bois guyanais tout en évitant de trop lourdes expérimentations. Une modélisation de ce procédé est donc nécessaire. Le noeud scientifique est la loi de comportement du bois durant le déroulage, comme ce procédé est caractérisé par une grande vitesse de déformation et d'importantes et complexes déformations mêlant cisaillement et compression. Afin comprendre les phénomènes physiques mis en jeux, nous avons réalisé plus de 700 essais quasistatiques de traction, compression et torsion avec différents types de chargement. Nous avons aussi réalisé une centaine d'essais de déroulage sur une micro-dérouleuse instrumentée à laquelle nous avons ajouté des mesures de températures. Nous proposons une modélisation analytique adaptée à la description des régimes continus de coupe. La description de la zone de déformation est lagrangienne et la résolution se fait par les puissances mises en jeu. Nous proposons une loi de comportement hyper-élastique isotrope compressible de Rivlin généralisée d'ordre 4 dont nous avons déterminé la forme grâce aux essais quasi-statiques et les coefficients grâce à une résolution de problématique inverse de Levemberg-Marquardt afin de tenir compte de la vitesse de déformation. Pour la première fois, l'angle d'inclinaison de la zone de déformation prédit correspond aux observations expérimentales. De plus, au moins 75% des efforts calculés sont à moins de 15% des efforts expérimentaux.
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Tumbajoy, Spinel David. "Caractérisation du comportement mécanique de surfaces hyper-déformées par des phénomènes de contact." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEM025/document.

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Dans l’industrie, les traitements mécaniques de surface métalliques permettent d’améliorer les conditions de service des pièces mécaniques. Les effets de contact de ces types de procédés engendrent une forte déformation plastique du matériau et par conséquent une transformation microstructurale en sous-surface. Cette transformation se manifeste dans le raffinement progressif de la microstructure dans une couche de quelques dizaines de micromètres. Celle-ci est souvent dénommé "surface tribologiquement transformée" (en anglais : Tribologically Transformed Surface - TTS). Une telle transformation microstructurale conduit à une augmentation des propriétés mécaniques en extrême surface et rend le matériau plus résistant aux conditions de frottement, usure et fatigue.Dans le cadre de cette étude, deux procédures de transformation microstructurale ont été employées sur un matériau modèle : le fer-α. Pour la première technique (grenaillage), la surface est impactée de façon répétitive avec des billes métalliques projetées à grande vitesse. Concernant la deuxième méthode (micro-percussion), la surface est impactée répétitivement à un endroit précis avec un indenteur conique rigide.L’objet de ce projet se centre sur trois aspects principaux : (i) déterminer les gradients mécaniques et microstructuraux induits sur les deux types de surfaces transformées (grenaillage et micro-percussion), (ii) établir un lien quantitatif entre les mesures faites par deux types d’essais micromécaniques (nano-indentation et micro-compression de piliers) et (iii) mettre en évidence les effets microstructuraux impliqués (taille de grain, densité de dislocations, etc...) dans l’augmentation des propriétés mécaniques par hyper-déformation de surfaces
The mechanical surface treatments confer better local mechanical properties against wear or fatigue service conditions. In the case of impact-based treatments, the material is exposed to repeated mechanical loadings, producing a severe plastic deformation in the near-surface. It leads to a local and progressive refinement of the microstructure into the affected zone, commonly known as Tribologically Transformed Surface (TTS). For this project, two mechanical surface treatments are used in a model material (pure α-iron): (i) shot-peening and (ii) micro-percussion.The resulting surfaces are characterized by a mechanical property gradient in-depth as a consequence of the microstructural transformation over a few tens of microns. Nowadays, it is well-known that this rise of local mechanical properties could improve the service lifetime of materials. However, a simple micro-hardness test is not quite enough to quantify precisely the engendered variation of mechanical properties and understand the influence of several microstructural effects. For this purpose, two micro-mechanical tests are considered: (i) nano-indentation and (ii) in situ micro-pillar compression.The main issue of this work is to characterize the mechanically-induced transformed surfaces and correlate the mechanical properties gradients with the local microstructural evolutions. Indeed, three main goals are considered: (i) quantify the mechanical and microstructural gradients induced by the surface treatments (shot-peening and micro-percussion), (ii) correlate the results obtained by the means of both mechanical tests (nano-indentation and micro-pillar compression) and finally (iii) investigate the influence of several microstructural effects related with the graded strengthening of hyper-deformed surfaces
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Ju, Minglei. "Contribution à la modélisation du comportement visco-hyper-élastique de mousses de polyuréthane : Validation expérimentale en quasi-statique." Thesis, Mulhouse, 2014. http://www.theses.fr/2014MULH8865/document.

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La mousse flexible de polyuréthane est couramment utilisée dans nombreuses applications telles que acoustiques, thermiques et de bâtiment grâce à sa faible densité et à son pouvoir d’isolation thermique et acoustique. Elle est également utilisée dans les applications de confort pour les sièges tels que véhicule, train, avion etc. grâce sa faible raideur et à son pouvoir à absorber l’énergie de déformation. Pour optimiser le confort des systèmes d’assise, il est nécessaire de modéliser le siège et en particulier la partie flexible, c’est-à-dire la mousse de polyuréthane. Les objectifs principaux de cette thèse consistent à identifier puis à modéliser le comportement quasi-statique de la mousse de polyuréthane sous différentes conditions d’essais sous grandes déformations. Des essais de compression/décompressions unidirectionnels monocycle et multicycle à différentes vitesses de déformations ont été réalisés sur trois types de mousse de polyuréthane, afin de comprendre le comportement du matériau. Ces essais ont permis de déduire que les mousses de polyuréthanes sous grandes déformations présentent à la fois un comportement hyperélastique et un comportement viscoélastique. Ils ont également montrés que les mousses de polyuréthanes présentent un phénomène d’assouplissement appelé ‘effet de Mullins’ lors que les essais de compression/décompressions multicycle, c’est-à-dire que les contraintes dans 1er cycle sont moins faibles que les contraintes dans les cycles suivants pour une même déformation. Sur la base des résultats d’expérimentaux et afin de modéliser le comportement quasi-statique de la mousse de polyuréthanne, nous avons développé trois modèles visco-hyperélastiques qui se composent de deux éléments à savoir la partie modèles énergétiques hyperélastiques, utilisés généralement pour des matériaux à comportement caoutchoutique, et la partie modèle à mémoire entier qui tient compte de l’historique et permettant de décrire le comportement viscoélastique. Les paramètres des modèles ont été identifiés en utilisant la méthode d’identification et la méthode d’optimisation appropriée. Les résultats des modélisations du comportement mécanique de la mousse sur les essais monocycles et multicycles ont été comparés aux résultats expérimentaux, monteront à la fois une très bonne capacité à simuler le 1er cycle de charge/décharge, ainsi que les cycles suivant. Nos modèles ont prouvé leur capacité à modéliser l’effet de Mullins sur les mousses de polyuréthane souple. Ces modèles ont été validés sur les trois types de mousse et pour trois vitesses de sollicitation, permettent de conclure leurs efficacités et de leurs représentativités
Flexible polyurethane foam is widely used in numerous applications such as acoustic, thermal and building due to its low density and its ability to absorb thermal and acoustic energy. It is also used for the comfort of the seats such as the vehicle, train, plane due to its low stiffness and its ability to absorb deformation energy. In order to optimize the comfort of the car seat, it is necessary to model the behavior of seat system, particularly the flexible component - polyurethane foam. The main objective of this study is to identify and model the quasi-static behavior of polyurethane foam under different test conditions in large deformations. Compression / decompression uniaxial unicycle and multicycle tests were carried out on three types of polyurethane foam at different strain rates, which allows us to understand the behavior of the material. The results of the tests indicate that the polyurethane foams exhibit a hyperelastic behavior and a viscoelastic behavior under large deformations. They also showed that the polyurethane foams have a stress softening phenomenon which is called 'Mullins effect' during the compression / decompression multicycle tests. In other words, the stress in first cycle is lower than the stresses in the subsequent cycles in the same deformation. ‘Mullins effect’ for the polyurethane foam is also an important study in this dissertation. Based on the experimental results and the goal of modeling quasi-static behavior of the polyurethane foam, three visco-hyperelastic models were developed. These models consist in two elements: hyperelastic models, which is normally used for description the behavior of rubber materials, and entire memory model which takes into account the history and describing the viscoelastic behavior. Model parameters were identified using appropriate identification and optimization methods. The results of modeling the mechanical behavior of the foam on the unicycle and multicycle tests were compared with experimental results. The models showed a very good competence to simulate the first cycle and the following cycles during the charge / discharge tests. Our models have proven its ability to model Mullins effect on flexible polyurethane foams. These models have been validated on three types of foam in order to present a comparative study of their effectiveness and their representativeness
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Bruno, Agostino Walter. "Étude du comportement hygro- mécanique de la terre crue hyper-compactée pour la construction durable." Thesis, Pau, 2016. http://www.theses.fr/2016PAUU3021/document.

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Cette étude vise à contribuer au développement d’un produit de construction à faible impact environnemental utilisant la terre crue. Pour cela, le comportement hygro-mécanique de la terre crue compressée à haute pression par une technique novatrice mise au point dans ce projet a été caractérisé. De plus, plusieurs méthodes de stabilisation ont été évaluées afin d’améliorer la durabilité de ce matériau, notamment vis-à-vis de l’érosion induite par l’eau. Une vaste campagne d’essais expérimentaux a été menée sur ces matériaux stabilisés ou non, à deux échelles différentes : les caractérisations des échantillons cylindriques (petite échelle) ont tout d’abord permis de sélectionner la formulation optimale. Par la suite, les tests menés à grande échelle sur les briques de terre compressée ont contribué à développer un produit pour la construction. Une nouvelle technique de fabrication basée sur l’application d’une contrainte de compactage très élevée (hyper-compactage) a été mise au point. Son objectif principal est d’augmenter la densité du matériau afin d’améliorer ses performances mécaniques. Les échantillons compactés par la méthode proposée présentent une densité sèche d’environ 2320 kg/m3, ce qui représente la valeur la plus élevée jamais enregistrée dans la littérature pour une terre non stabilisée. Les effets de la contrainte de compactage sur la microstructure du matériau ont été analysés par intrusion au mercure et adsorption d’azote liquide. Les résultats montrent que l’augmentation de la contrainte de compactage réduit la porosité du matériau, majoritairement les grands pores inter-agrégats. Cependant, le compactage mécanique influence peu les petits pores intra-agrégats. L'approfondissement de la caractérisation des propriétés microstructurales des échantillons stabilisés constitue un développement intéressant de ce travail. La résistance et la rigidité des échantillons non stabilisés et stabilisés ont été mesurées. Ces essais mécaniques confirment que la méthode d'hyper-compactage permet d’améliorer grandement la réponse mécanique du matériau par rapport aux techniques de fabrication existantes. Ainsi, les briques réalisées présentent une résistance en compression comparable à celle-là des matériaux traditionnels de construction (e.g. terre stabilisée et briques en terre cuite). Pour compléter cette étude, des essais mécaniques à l’échelle paroi sont à mener. Le comportement hygroscopique des échantillons stabilisés et non stabilisés a été analysé par la mesure du paramètre MBV (i.e. Moisture Buffering Value), qui traduit la capacité d’échange avec la vapeur d’eau. Il s'avère que la terre non stabilisée possède une excellente capacité à absorber et relarguer l’humidité ambiante. Cette capacité est, par contre, réduite pour les échantillons stabilisés testés dans le cadre de cette étude. La caractérisation du comportement thermique de la terre compressée à haute pression ainsi que l’analyse expérimentale des transferts thermo-hygroscopiques à l’échelle paroi représentent deux compléments d'étude afin de préciser le comportement hygroscopique d'un mur à base de terre crue. Enfin, la durabilité par rapport à l’érosion induite par l’eau des briques stabilisées et non stabilisées a été estimée à travers les essais d’immersion, de succion et de contact qui sont prévus par la norme DIN 18945 (2013). Les briques stabilisées montrent une meilleure résistance à l’eau par rapport aux briques non stabilisées. Toutefois, des études supplémentaires sont nécessaires pour améliorer les méthodes de stabilisation garantissant la durabilité dans le cas d'applications structurelles exposées aux intempéries, tout en maintenant de bonnes performances hygro-mécaniques et un faible impact environnemental
The present work explores the hygro-mechanical behaviour of a raw earth material and investigates different stabilisation techniques to improve the durability of the material against water erosion. An extensive campaign of laboratory tests was performed on both unstabilised and stabilised materials at two different scales: small cylindrical samples and large bricks. An innovative manufacturing method based on the application of very high compaction pressures (hypercompaction) was proposed. Also, the compaction load was maintained constant for a sufficient period of time to allow soil consolidation. The main objective was to increase material density, thus improving mechanical performance. Samples compacted with the proposed method exhibited a dry density of about 2320 kg/m3, which is the highest value registered in the literature for an unstabilised earthen material. The effect of the compaction pressure on the material fabric was assessed by means of mercury intrusion porosimetry and nitrogen adsorption tests. Results showed that the increase of compaction pressure reduced material porosity with major effects on large inter-aggregate pores. On the contrary, small intra-aggregate pores were not affected by the mechanical compaction. Mechanical tests were then performed to measure stiffness and strength of both unstabilised and stabilised samples. These tests demonstrated that hypercompaction can largely improve the mechanical response of the material over conventional manufacturing methods. Hypercompacted bricks showed a compressive strength comparable with that of traditional building materials, such as stabilised compressed earth and fired bricks. The hygroscopic behaviour of both unstabilised and stabilised samples was investigated. The capacity of the samples to absorb/release water vapour was assessed by measuring their moisture buffering value (MBV). Results showed that unstabilised earth has an excellent capacity to buffer ambient humidity. This capacity was significantly reduced by the different stabilisation techniques tested in the present work. Finally, the durability against water erosion of both unstabilised and stabilised bricks was assessed by performing different tests prescribed by the norm DIN 18945 (2013). Stabilised bricks exhibited a higher resistance against water erosion compared to unstabilised bricks. Still, these materials cannot be adopted for structural applications exposed to natural weathering as indicated by the norm DIN 18945 (2013). Therefore, further investigation is required to identify novel stabilisation methods that can balance the needs of sustainability, durability, moisture buffering and mechanical performance
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Shaha, Rony. "Experimental study of axial compressive behavior of a hyper-elastic annular seal constrained in a pipe." 2016. http://hdl.handle.net/1993/31750.

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The compressive behavior of an annular rubber seal constrained in a pipe and the interaction between the pipe and the seal was studied experimentally using a specially designed test fixture that allowed the concentric alignment of the seal within the pipe and its axial compression using an electro-hydraulic Instron load frame. The hoop strain introduced in the pipe wall, due to the constraint of lateral expansion of the seal, displayed a parabolic distribution with a maximum value at the mid-height of the seal similar to the parabolic shape of the lateral expansion of the seal. The magnitude of the pipe strain increased with the friction coefficient of the interface between the seal and the compression rings, strain rate, and shape factor for a constant gap between the seal and the pipe wall. The relationship between the apparent compressive modulus and the shape factor (beyond experimental range) was studied using FEA.
October 2016
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Taylor, Robert W. "Understanding the excessive use of hyper-compression in music production: a systems based approach to examining innovative change in the field of music production." Thesis, 2018. http://hdl.handle.net/1959.13/1389583.

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Abstract:
Research Doctorate - Doctor of Philosophy (PhD)
Described by a leading figure as the “destruction of an entire musical heritage” (Lund i/v, 2015), hyper-compression presents one of the most challenging issues facing Western mainstream popular music in the 21st Century. Historically, loudness has been utilised as a mechanism to influence consumer behaviour, taking advantage of the non-linearity of the human hearing mechanism. This process has been described as the “louder is better” paradigm. This paradigm conforms to an underlying belief that listeners consider louder music, both preferred and perceived, as sonically superior to that which is softer. During the so called “Loudness Wars” artists actively sought means to render their recordings as loud as possible, at times exceeding the medium’s limitations. Digital audio technology presented opportunities to significantly increase loudness levels, enabling the average level of an audio signal to be hyper-compressed, resulting in a greater perceived loudness when reproduced. This excessive use of compression, that is hyper-compression, can intercalate a range of undesirable artefacts such as non-linear distortion as various studies have shown. There is now a distinct tension between agent’s notions of loudness as a commercial imperative, its aesthetic intent and the integrity of the audio signal. This thesis attempts to address why hyper-compression is so prevalent in music production despite scientific evidence that denotes deleterious consequences. Its use in the field exhibits little signs of abatement and therefore appears to represent a dominant structural determinant by acting as a prerequisite for recordings to enter the market. Previous focused research has examined many individual causal factors but has failed to adequately explain why hyper-compression continues to be reproduced as a structure within the popular music field. It is argued here that the issue is representative of a multi-factorial set of conditions that are systemic in nature. The origins of these factors are also illustrative of both objective and subjective concerns, and as such, the methodology underpinning this research project reflects a constructionist ontological position, providing, in addition to the objective work on signal analysis confirming the effect of hyper-compression on recordings and audiences, the necessary foundation for a broader socio-cultural investigation. It is argued that there is a profoundly interrelated system of objective conditions that governs possibilities of action by agents operating in the field of Western mainstream popular music. Understanding why agents collectively engage with hyper-compression was the central aim of this study. To facilitate this aim, a framework was devised that accepts a systems perspective, drawing upon the theories of Csikszentmihalyi, Bourdieu and Rogers. The methodology employed reflects the underlying tenet of this framework, utilising a multi-strategy design of signal analysis and ethnography. Interviews were conducted with 29 industry participants in conjunction with the analysis of music recordings and audience reactions to them. Results indicate that despite the potential for loudness normalisation to mediate the immediate effects of the “louder is better” paradigm, there remains a multitude of factors in play that keep hyper-compression in use. All of the factors examined in this research collectively outweigh concerns focused on the quality of audio alone. It is further argued that a gradual and recursive change in the knowledge and symbolic structure of the domain of music production would be required to diminish the role of hyper-compression as a structural determinant, in a similar manner to the way it was instigated. The possibility of this occurring is discussed, with consideration to the multiple factors outlined in this thesis.
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Book chapters on the topic "Hyper-compression"

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Subhash Babu, K., K. K. Thyagharajan, and V. Ramachandran. "Compression of Hyper-Spectral Images and Its Performance Evaluation." In Advances in Intelligent Systems and Computing, 599–609. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2695-6_51.

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Blair, Peter. "Hyper-compression and the rise of the deep surface." In The Short Story in South Africa, 63–88. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003226840-4.

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Prasad, V. B. S. Rajendra, and G. Venkata Rao. "Dynamic Hyper Elastic Behavior of Compression Shock Loaded Vibration Dampers." In Dynamic Behavior of Materials, Volume 1, 237–51. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41132-3_33.

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Liou, N. S., Y. R. Jeng, S. F. Chen, G. W. Ruan, and K. T. Wu. "Developing Hyper-Viscoelastic Constitutive Models of Porcine Meniscus from Unconfined Compression Test Data." In Conference Proceedings of the Society for Experimental Mechanics Series, 111–15. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0219-0_15.

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Teresa, V. V., J. Dhanasekar, V. Gurunathan, and T. Sathiyapriya. "An Efficient Technique for Image Compression and Quality Retrieval in Diagnosis of Brain Tumour Hyper Spectral Image." In Machine Learning and Deep Learning Techniques for Medical Science, 27–44. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003217497-2.

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Conference papers on the topic "Hyper-compression"

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Motta, Giovanni, Francesco Rizzo, and James A. Storer. "Compression of hyper/ultraspectral data." In Optics & Photonics 2005, edited by Bormin Huang, Roger W. Heymann, and Charles C. Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.619612.

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"Hyper Text Transfer Protocol Compression." In International conference on Innovative Engineering Technologies. International Institute of Engineers, 2014. http://dx.doi.org/10.15242/e1214042.

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Tian, Nannan, Yong Liu, Weiping Wang, and Dan Meng. "Automatic CNN Compression Based on Hyper-parameter Learning." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533329.

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Zhang, Wei, Ming Dai, and Chuan-li Yin. "Compression of hyper-spectral images based on quadtree partitioning." In 2009 2nd IEEE International Conference on Computer Science and Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccsit.2009.5234533.

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Ponuma, R., R. Amutha, and B. Haritha. "Compressive Sensing and Hyper-Chaos Based Image Compression-Encryption." In 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2018. http://dx.doi.org/10.1109/aeeicb.2018.8480989.

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Qianwen, Liu, and Hu Bingliang. "The Hyper-Spectral Image Compression System Based on DSP." In 2008 International Workshop on Geoscience and Remote Sensing (ETT and GRS). IEEE, 2008. http://dx.doi.org/10.1109/ettandgrs.2008.270.

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Yang, You, Gangyi Jiang, Mei Yu, and Dingju Zhu. "Parallel Process of Hyper-Space-Based Multiview Video Compression." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.312391.

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Nallathai, P., S. Jeyakumar, and N. Nithiyanandam. "Hyper spectral image compression based on non-iterative matrix factorization." In 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2013. http://dx.doi.org/10.1109/iccic.2013.6724260.

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Qiu-qiong, Chen, and Zhang Zhen-juan. "New video compression and encryption algorithm based on hyper-chaos." In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6233925.

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Feng, Xiaoyu, Jinshan Yue, Zhe Yuan, Huazhong Yang, and Yongpan Liu. "RL Based Network Accelerator Compiler for Joint Compression Hyper-Parameter Search." In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2020. http://dx.doi.org/10.1109/iscas45731.2020.9181238.

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