Articoli di riviste: "Compression de modèle"

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Zodrow, Erwin L., e Jose A. D'Angelo. "Compression map: Improved means for studying Carboniferous foliage". Atlantic Geology 49 (14 agosto 2013): 126. http://dx.doi.org/10.4138/atlgeol.2013.006.

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A medullosalean-pteridosperm specimen, 22 cm long, from the Sydney Coalfield, Nova Scotia, Canada, illustrates the advantage of studying the fossilization history of compressed foliage freed from the rock matrix by hydrofluoric acid, as compared to the examination of compressions still in the rock matrix. The image of any freed frond segment of compression foliage that has been reprocessed digitally to represent its original structure is called a compression map. Interpretation of a compression map is reliant on a physicogeochemical model of preservation processes.RÉSUMÉUn spécimen fossile d’une ptéridospermée du genre Medulossa mesurant 22 cm de longueur et excavé dans le bassin houiller de Sydney, en Nouvelle-Écosse (Canada), illustre bien l’avantage d’étudier l’histoire géologique de fossiles de feuilles extraits de la matrice rocheuse au moyen de l’acide fluorhydrique plutôt que d’examiner des compressions qui sont encore dans la matrice. On désigne carte de compression l’image d’un segment de fronde compressé extrait de la matrice dont on a fait l’extrapolation numérique pour voir sa structure originale. L’interprétation d’une carte de compression repose sur un modèle physicogéochimique des processus de préservation.[Traduit par la redaction]

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Vignon, Jean-Marc, e Didier Mazon. "Modèle de transfert de chaleur périodique en compression-détente pure". International Journal of Thermal Sciences 38, n. 1 (gennaio 1999): 89–97. http://dx.doi.org/10.1016/s0035-3159(99)80019-1.

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Andrieux, M., A. Vigouroux e P. Sixou. "Étude par photoélasticité d'un composite modèle monofilamataire en traction et en compression". Journal de Physique III 6, n. 4 (aprile 1996): 449–73. http://dx.doi.org/10.1051/jp3:1996134.

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Vignon, J. "Modèle de transfert de chaleur périodique en compression-détente purePeriodic heat transfer model for pure compression-expansion modelling". Revue Générale de Thermique 38, n. 1 (gennaio 1999): 89–97. http://dx.doi.org/10.1016/s0035-3159(99)88019-2.

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Sanchez, C., O. Gabay, C. Salvat, Y. Henrotin e F. Berenbaum. "Etude des effets de la compression sur le métabolisme des ostéoblastes: un nouveau modèle 3D de compression in vitro". Revue du Rhumatisme 74, n. 10-11 (novembre 2007): 1068. http://dx.doi.org/10.1016/j.rhum.2007.10.075.

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Del Piero, Gianpietro, e Giampiero Pampolini. "Un modèle viscoélastique pour la réponse des mousses polymériques à la compression cyclique". Mécanique & Industries 10, n. 3-4 (maggio 2009): 261–66. http://dx.doi.org/10.1051/meca/2009054.

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Benderradji, Razik, Hamza Gouidmi e Abdelhadi Beghidja. "Etude numérique de transition RR / MR dans l’interaction onde de choc / choc de compression". Journal of Renewable Energies 19, n. 4 (17 ottobre 2023): 595–604. http://dx.doi.org/10.54966/jreen.v19i4.597.

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La présente étude s’intéresse à la fois au développement de la couche limite turbulente en écoulement supersonique sur une plaque plane, à la distance requise pour qu’elle envahisse toute la section de la plaque, ainsi qu’aux effets de la taille de la zone d'interaction sur le développement de la même couche limite. L'augmentation de la force de l'interaction est une augmentation de la taille des zones d'interactions conduisant à la formation d'une bulle de re-circulation qui est une zone des pertes de charge importantes. Pour cette raison, on peut diminuer, puis augmenter le nombre de Mach pour voir une réflexion de Mach qui explique l'impact de l'onde de choc incident forte avec la couche limite. L'augmentation et la diminution du nombre de Mach a causé l'apparition d’une transition dans les interactions réflexion régulière (RR), réflexion de Mach (MR), qui est représenté par les iso contours des champs de la masse volumique. Ces études sont bien en accord par rapport à l'essai qui a été présenté par Délery et al. (2009). On a donné une autre contribution et des investigations du phénomène de l'interaction onde de choc/couche limite turbulente. Le modèle utilisé dans cette étude est le modèle kwSST, il est considéré comme étant le plus approprié pour ce genre de problème, avec un traitement spécial de la zone proche de la paroi. Des simulations numériques ont été faites à l’aide de logiciel FLUENT.

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Dumont, Pierre, Steven Le COrre, Laurent Orgéas e Denis Favier. "Un modèle biphasique pour simuler la mise en forme par compression des composites à fibres courtes". Revue des composites et des matériaux avancés 12, n. 3 (23 dicembre 2002): 477–97. http://dx.doi.org/10.3166/rcma.12.477-497.

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Jacquet, E., P. Garbuio e J. N. Pernin. "Élaboration et validation d'un modèle numérique reflétant le comportement mécanique du fémur sous chargement statique de compression". Journal de Physique IV (Proceedings) 12, n. 11 (dicembre 2002): 79–86. http://dx.doi.org/10.1051/jp4:20020478.

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Marigo, Jean-Jacques, e Kyrylo Kazymyrenko. "A micromechanical inspired model for the coupled to damage elasto-plastic behavior of geomaterials under compression". Mechanics & Industry 20, n. 1 (2019): 105. http://dx.doi.org/10.1051/meca/2018043.

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We propose an elasto-plastic model coupled with damage for the behavior of geomaterials in compression. The model is based on the properties, shown in [S. Andrieux, et al., Un modèle de matériau microfissuré pour les bétons et les roches, J. Mécanique Théorique Appliquée 5 (1986) 471?513], of microcracked materials when the microcracks are closed with a friction between their lips. That leads to a macroscopic model coupling damage and plasticity where the plasticity yield criterion is of the Drucker–Prager type with kinematical hardening. Adopting an associative flow rule for the plasticity and a standard energetic criterion for damage, the properties of such a model are illustrated in a triaxial test with a fixed confining pressure.

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Vigouroux, A., M. Andrieux e P. Sixou. "Comportement en compression d'une fibre de carbone dans un composite modèle monofilamentaire : simulation des images observées en photoélasticité". Journal de Physique III 6, n. 5 (maggio 1996): 543–70. http://dx.doi.org/10.1051/jp3:1996140.

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Farki, Khadija, Ghalem Zahour, Youssef Zerhouni e Hamid Wafa. "Contribution to the Understanding of the Sedimentary and Tectono-Volcanic Evolution of Triassic and Liassic Series of Oued N’Fifikh (Coast Meseta, Morocco)". Annales de la Société Géologique du Nord, n. 19 (1 dicembre 2012): 145–56. http://dx.doi.org/10.54563/asgn.1479.

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La série géologique de l’Oued N’Fifikh (région de Mohammedia, Maroc) est constituée d’un socle cambro-ordovicien gréso-micacé et d’une couverture méso-cénozoïque. Cette dernière débute par des terrains triasiques constitués successivement, de la base vers le sommet, par un ensemble silto-gréso-conglomératique (20m), des argilites inférieures (40m), et des coulés basaltiques (50m). Sur cette formation, se déposent des argilites supérieures évaporitiques (60m) d’âge liasique. Cette série est coiffée par des calcaires du Néogène. L’étude tectono-volcanologique associée à une étude sédimentologique permet de proposer un modèle d’ouverture de ce bassin sous forme d’un hémi-graben. Ce dernier, axé sur l’Oued N’Fifikh, s’intègre dans une dynamique distensive liée au rifting atlantique. La sédimentation et le volcanisme ont été guidés par des failles actives volcano-tectoniques héritées du socle hercynien. Celles-ci ont été réactivées lors de la distension triasico-liasique avant de rejouer pendant la compression atlasique.

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Dudinova, O. B., S. G. Udovenko e L. E. Chala. "Intellectual processing of spatial data in the GIS of landscape-ecological monitoring". Bionics of Intelligence 2, n. 95 (2 dicembre 2020): 43–50. http://dx.doi.org/10.30837/bi.2020.2(95).06.

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An approach to the creation of modular subsystems for intelligent processing and compression of spatial data as a part of GIS landscape-ecological monitoring is proposed. The functions and methods of implementing the tasks of these subsystems are determined. The main modules include: a module for preliminary processing of spatial data with the formation of digitized images; module of image segmentation and edge highlighting; module for categorical classification of images of landscape objects; image compression module using a fractal model and a genetic algorithm; a module for compressing and restoring noisy digitized images using a noise-canceling autoencoder.

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Pomade, Philippe, e Louis Paris. "Approche du coefficient de sécurité réel par l'étude de la contrainte moyenne entre deux singularités dans un modèle élémentaire de matériau granulaire cohérent soumis à une compression monoaxiale". Materials and Structures 27, n. 4 (maggio 1994): 196–205. http://dx.doi.org/10.1007/bf02473033.

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Yang, Le, Zhao Yang Guo, Shan Shan Yong, Feng Guo e Xin An Wang. "A Hardware Implementation of Real Time Lossless Data Compression and Decompression Circuits". Applied Mechanics and Materials 719-720 (gennaio 2015): 554–60. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.554.

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This paper presents a hardware implementation of real time data compression and decompression circuits based on the LZW algorithm. LZW is a dictionary based data compression, which has the advantage of fast speed, high compression, and small resource occupation. In compression circuit, the design creatively utilizes two dictionaries alternately to improve efficiency and compressing rate. In decompression circuit, an integrated State machine control module is adopted to save hardware resource. Through hardware description and language programming, the circuits finally reach function simulation and timing simulation. The width of data sample is 12bits, and the dictionary storage capacity is 1K. The simulation results show the compression and decompression circuits have complete function. Compared to software method, hardware implementation can save more storage and compressing time. It has a high practical value in the future.

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Arsenyev, Vyacheslav, Victor Kozin, Iurii Merzliakov e Mikhail Protsenko. "Jet Thermal Compression of the Ammonia-Water Mixture for Heat Pumps and Refrigerating Systems". Applied Mechanics and Materials 630 (settembre 2014): 61–65. http://dx.doi.org/10.4028/www.scientific.net/amm.630.61.

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The potential and features of thermotransformer operation has been investigated with the employment of jet thermal compression in heat pump or refrigeration cycles. Jet thermal principle is realized by means of injection and compression of the low-pressure steam with the help of working steam jet. It is formed with the help of relaxation vaporization of the subcooled liquid inside motive flow duct of jet compressor instead of the conventional mechanical compressor. It is a part of the jet thermal compression module which includes a liquid-vapor jet compressor, a separator, a pump and a heater. Perspective of application the ammonia-water mixture as working substance is determined by its high thermodynamic and environmental properties, possibility to maintain higher condensation temperatures than when using CFC, HCFC and HFC chemicals.

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Quamar, Danishtah, e Chiranjit Sarkar. "Optimal Design of Hydraulic Disc Brake for Magnetorheological (MR) Application". Defence Science Journal 72, n. 6 (6 dicembre 2022): 783–92. http://dx.doi.org/10.14429/dsj.72.18369.

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This paper aims to provide a new design considering compressive force application in the MR fluid andimprove its braking torque by optimizing it. According to the current study, compressing the MR region will increase braking torque compared to no compression. The area covered by an existing model of the conventional disc brake is taken into consideration for the unique design of the MR brake to operate in shear and compression mode, and the required compression given by the hydraulic pressure similar to a conventional disc brake. The suggested MR brake’s structural layout is presented. The Herschel-Bulkley shear thinning model’s mathematical expression for the torque equation for the compression and shear modes is provided. An analytical magnetic circuit is done for the proposed design for determining the relationship between applied current and magnetic field strength as a function of the geometrical and material attributes of the MR brake. Simulation is done on COMSOL software with the help of an AC/DC module, considering the non-linear relationship between the magnetic field and magnetic flux. Simulation results of braking torque achieved with the varying current are determined. The graph displays the braking torque for current in the compression plus shear mode as well as shear mode. After that, optimization is done on the proposed model for optimal design parameters. For optimization, we adopt the most popular Genetic Algorithm (GA) method. Optimization aims to increase the braking torque capacity of the MR brake for the given volume.

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Belyanovskaya, E. A., G. M. Pustovoy, A. I. Sklyarenko, M. P. Sukhyy, K. M. Sukhyy, О. О. Yeromin e O. M. Prokopenko. "Calculation algorithm for operating parameters of steam-compressive chilling machine with adsorptive chillling unit". Computer Modeling: Analysis, Control, Optimization 8, n. 2 (dicembre 2020): 3–9. http://dx.doi.org/10.32434/2521-6406-2020-8-2-3-9.

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The work is focused on the development of an effective algorithm for calculating the operational characteristics of a steamcompressive chilling machine with an adsorptive chilling unit, which involves a cold box, an adsorber, an evaporator and a condenser, water being used as a refrigerant. An algorithm for calculating the operating parameters of the adsorptive chilling unit has been developed, which includes the determination of the cooling capacity of the steam compressor refrigeration unit, the heat load on the condenser, the power consumed by the compressor, the coefficient of performance of the steam compressor refrigeration unit, as well as the calculation of the mass of water, the mass of the adsorbent, the refrigerating capacity, the coefficient of performance of the adsorptive chilling unit and the coefficient of useful energy utilization of a steam compressive chilling machine with an adsorption chilling unit. The chilling capacity and the coefficient of performance of the adsorption chilling unit are estimated under the operating conditions of a typical steam compression chilling machine. The crucial factors affecting the efficiency of the adsorptive chilling unit are analyzed. It has been established that the chilling capacity, the coefficient of performance of the adsorption refrigeration module and the energy efficiency of the installation are determined by the thermal load on the condenser, and, therefore, by the mass of water that is desorbed and evaporated. The coefficient of performance of the adsorption chilling unit and the efficiency of the steam compressor chilling machine with the adsorptive chilling unit are estimated to be 0.878 and 4.64. The criteria for the selection of adsorbents for the adsorption module are analyzed. The temperature of regeneration is determined by the temperatures in the condenser, and the limit adsorption affects the mass of the adsorbent and the size of the adsorber. A comparison of the efficiency of adsorptive chi l l ing uni t based on silicoaluminophosphates and composite adsorbents «silica gel – sodium acetate» is carried out. The prospects of using composites «silica gel – СН3СООNa» are shown. The optimal composition of the composite was established, which corresponds to the minimal size of the adsorber, (80% sodium acetate and 20% silica gel). The prospects of using adsorptive conversion of thermal energy for utilization of low-potential thermal energy during the operation of steam compressive chilling machine are shown. Keywords: adsorptive conversion of heat energy, composite adsorbent, steam compressive chilling unit, adsorption, adsorptive capacity.

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Dubinin, E. V., B. F. Idiyatullin e N. G. Khasanov. "Optimization of centrifugal compressor stages". Omsk Scientific Bulletin. Series Aviation-Rocket and Power Engineering 7, n. 4 (2023): 33–39. http://dx.doi.org/10.25206/2588-0373-2023-7-4-33-39.

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The article describes а hydraulic efficiency increase in the centrifugal compressor stage using automatic optimization algorithms. The optimization criterion is the polytropic efficiency of the intermediate compressor stage. The sequence of stages of the optimization process in the Fine/Design3D software module of the Numeca software package is presented. The creating process a solid model of the compression stage is shown. The performance curves of the developed stage after optimization of the shape of the rotor and stator elements are also presented.

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Pan, Zirui, Mengbai Xiao, Xu Han, Dongxiao Yu, Guanghui Zhang e Yao Liu. "patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds". Proceedings of the AAAI Conference on Artificial Intelligence 38, n. 5 (24 marzo 2024): 4406–14. http://dx.doi.org/10.1609/aaai.v38i5.28238.

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When compressing point clouds, point-based deep learning models operate points in a continuous space, which has a chance to minimize the geometric fidelity loss introduced by voxelization in preprocessing. But these methods could hardly scale to inputs with arbitrary points. Furthermore, the point cloud frames are individually compressed, failing the conventional wisdom of leveraging inter-frame similarity. In this work, we propose a patchwise compression framework called patchDPCC, which consists of a patch group generation module and a point-based compression model. Algorithms are developed to generate patches from different frames representing the same object, and more importantly, these patches are regulated to have the same number of points. We also incorporate a feature transfer module in the compression model, which refines the feature quality by exploiting the inter-frame similarity. Our model generates point-wise features for entropy coding, which guarantees the reconstruction speed. The evaluation on the MPEG 8i dataset shows that our method improves the compression ratio by 47.01% and 85.22% when compared to PCGCv2 and V-PCC with the same reconstruction quality, which is 9% and 16% better than that D-DPCC does. Our method also achieves the fastest decoding speed among the learning-based compression models.

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Chavan, Sanjit S. "Solar Based Thermoelectric Refrigerator Using Peltier Module". International Journal for Research in Applied Science and Engineering Technology 10, n. 1 (31 gennaio 2022): 1043–46. http://dx.doi.org/10.22214/ijraset.2022.39989.

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Abstract: Refrigerators being used nowadays, utilize a compressor and coolant as a working fluid for the transmission of the heat. Thermal energy is absorbed and released as the coolant used goes through expansion and compression and its state changes from liquid to vapor and vice-versa. The solar-based thermoelectric refrigerator also known as the Peltier refrigerator offers several advantages over conventional systems. It consists of solid-state devices, with no mobile parts, which makes the system dependable, and less noisy. There is no use of ozone-depleting chlorofluorocarbons, which have an inadequate effect on the environment. They occupy a very small room for operating, much less than the conventional systems. Temperature is controlled (< ± 7 °C) with the help of Peltier coolers. The efficiency of these coolers is less as compared to compressor-based refrigerators. Thus, they are used in specific applications where their unique advantages. However, some large-scale applications have been considered Peltier coolers are generally used in applications where small size is needed and the cooling requirement is low, for instance, cooling electronic components. The main motto of this project is to design a prototype of a thermoelectric Refrigerator using the Peltier effect to maintain a specified temperature, perform temperature control in the range of 5 °C to 25 °C, and provide refrigeration in the remote areas where the power supply is not possible. Keywords: solar refrigerator, Peltier module, thermoelectric, Peltier effect, refrigeration

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Piątkowski, Dominik, Tobiasz Puślecki e Krzysztof Walkowiak. "Study of the Impact of Data Compression on the Energy Consumption Required for Data Transmission in a Microcontroller-Based System". Sensors 24, n. 1 (30 dicembre 2023): 224. http://dx.doi.org/10.3390/s24010224.

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As the number of Internet of Things (IoT) devices continues to rise dramatically each day, the data generated and transmitted by them follow similar trends. Given that a significant portion of these embedded devices operate on battery power, energy conservation becomes a crucial factor in their design. This paper aims to investigate the impact of data compression on the energy consumption required for data transmission. To achieve this goal, we conduct a comprehensive study using various transmission modules in a severely resource-limited microcontroller-based system designed for battery power. Our study evaluates the performance of several compression algorithms, conducting a detailed analysis of computational and memory complexity, along with performance metrics. The primary finding of our study is that by carefully selecting an algorithm for compressing different types of data before transmission, a significant amount of energy can be saved. Moreover, our investigation demonstrates that for a battery-powered embedded device transmitting sensor data based on the STM32F411CE microcontroller, the recommended transmission module is the nRF24L01+ board, as it requires the least amount of energy to transmit one byte of data. This module is most effective when combined with the LZ78 algorithm for optimal energy and time efficiency. In the case of image data, our findings indicate that the use of the JPEG algorithm for compression yields the best results. Overall, our research underscores the importance of selecting appropriate compression algorithms tailored to specific data types, contributing to enhanced energy efficiency in IoT devices.

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Abaza, Bogdan Felician, Paulina Spanu, Bogdan Alexandru Jugravu e Dragos Alexandru Apostol. "Study on Compressive Properties of Recycling PETs and CANs for Designing a Smart Waste Management Compactor". Materiale Plastice 58, n. 3 (5 ottobre 2021): 64–75. http://dx.doi.org/10.37358/mp.21.3.5504.

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Recycling is a key process in any sustainable development strategy. This paper proposes solutions for the increasing waste collection rates by developing an educational model for developing innovative waste management solutions. The focus in this paper will be on making the correlation between experimental studies on compressive properties of recycling waste and designing a smart waste management compactor. Based on previous achievements on developing an innovative compactor system with selective waste collection, actual experimental trials will be analysed for generating compression patterns for different types of common waste containers which will be used in the conceptual design process of a compactor, impacting concept definition of all 3 subsystems: mechanical, electrical and software. A dedicated software module for compression parameters will be developed for importing experimental data trials and based on these to process and identify relevant compression parameters defining compression pattern for different common waste containers. These parameters will be used to assist the wok mode state machines for compacting wastes. This will improve compactor performance by optimization of compactor usage smart adaptability.

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Abaza, Bogdan Felician, Paulina Spanu, Bogdan Alexandru Jugravu e Dragos Alexandru Apostol. "Study on Compressive Properties of Recycling PETs and CANs for Designing a Smart Waste Management Compactor". Materiale Plastice 58, n. 3 (5 ottobre 2021): 64–75. http://dx.doi.org/10.37358/mp.21.3.5504.

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Recycling is a key process in any sustainable development strategy. This paper proposes solutions for the increasing waste collection rates by developing an educational model for developing innovative waste management solutions. The focus in this paper will be on making the correlation between experimental studies on compressive properties of recycling waste and designing a smart waste management compactor. Based on previous achievements on developing an innovative compactor system with selective waste collection, actual experimental trials will be analysed for generating compression patterns for different types of common waste containers which will be used in the conceptual design process of a compactor, impacting concept definition of all 3 subsystems: mechanical, electrical and software. A dedicated software module for compression parameters will be developed for importing experimental data trials and based on these to process and identify relevant compression parameters defining compression pattern for different common waste containers. These parameters will be used to assist the wok mode state machines for compacting wastes. This will improve compactor performance by optimization of compactor usage smart adaptability.

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Shen, Yang, Jinqin Lu, Li Zhu e Fangming Deng. "Research on Deep Compression Method of Expressway Video Based on Content Value". Electronics 11, n. 23 (4 dicembre 2022): 4024. http://dx.doi.org/10.3390/electronics11234024.

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Aiming at the problem that the storage space and network bandwidth of expressway surveillance video are occupied largely due to data redundancy and sparse information, this paper proposes a deep compression method of expressway video depth based on content value. Firstly, the YOLOv4 algorithm is used to analyze the content value of the original video, extract video frames with vehicle information, and eliminate unintentional frames. An improved CNN is then designed by adding Feature Pyramids and the Inception module to accelerate the extraction and fusion of features at all levels and improve the performance of image classification and prediction. Finally, the whole model is integrated into HEVC encoder for compressing the preprocessed video. The experimental results show that at the expense of only a 5.96% increase of BD-BR, and only a 0.19 dB loss of BD-PSNR, the proposed method achieves a 64% compression ratio and can save 62.82% coding time compared with other classic data compression methods based on deep learning.

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Ghodhbani, Refka, Taoufik Saidani, Layla Horrigue, Asaad M. Algarni e Muteb Alshammari. "An FPGA Accelerator for Real Time Hyperspectral Images Compression based on JPEG2000 Standard". Engineering, Technology & Applied Science Research 14, n. 2 (2 aprile 2024): 13118–23. http://dx.doi.org/10.48084/etasr.6853.

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Lossless hyperspectral images have the advantage of reducing the data size, hence saving on storage and transmission costs. This study presents a dynamic pipeline hardware design for compressing and decompressing images using the Joint Photographic Experts Group-Lossless (JPEG2000) algorithm. The proposed architecture was specifically tailored for implementation on a Field Programmable Gate Array (FPGA) to accomplish efficient image processing. The introduction of a pipeline pause mechanism effectively resolves the issue of coding errors deriving from parameter modifications. Bit-plane coding was employed to enhance the efficacy of image coding calculations, leading to a reduction of parameter update delays. However, the context and decision creation procedure were streamlined, resulting in a significant enhancement in throughput. A hardware module utilizing the parallel block compression architecture was developed for JPEG2000 compression/decompression, allowing for configurable block size and bringing about enhanced image, compression/decompression, throughput, and reduced times. Verification results were obtained by implementing the proposed JPEG 2000 compression on a Zynq-7000 system-on-chip. The purpose of this system was to enable on-board satellite processing of hyperspectral image cubes with a specific focus on achieving lossless compression. The proposed architecture outperformed previous approaches by using fewer resources and achieving a higher compression ratio and clock frequency.

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Kamsuk, K., D. Damrongsak e N. Tippayawong. "Design and Performance Analysis of a Biodiesel Engine Driven Refrigeration System for Vaccine Storage". International Journal of Renewable Energy Development 2, n. 2 (17 giugno 2013): 117–24. http://dx.doi.org/10.14710/ijred.2.2.117-124.

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A compact, stand-alone, refrigeration module powered by a small biodiesel engine for vaccine storage in rural use was proposed. The engine was of single cylinder, four-stroke, direct injection with displacement of 0.296 cm3 and compression ratio of 20:1. The refrigeration system was modified from an automotive vapor compression system. The system performance was analytically investigated. From the simulation, it was found to have acceptable operation over a range of speeds and loads. Performance of the system in terms of fuel consumption and torque tended to decrease with an increase in engine speed. The modular system was able to operate at cooling loads above 4.6 kW, with proper speed ratio between the engine and the compressor. Overall, primary energy ratio of the refrigeration was found to be maximum at 0.54.

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Harasymiv, V. M., O. V. Moiseenko e T. G. Harasymiv. "Application and algorithmic software of the control system of the technical state parameters of the two-stage centrifugal compressor". METHODS AND DEVICES OF QUALITY CONTROL, n. 1(44) (28 giugno 2020): 110–18. http://dx.doi.org/10.31471/1993-9981-2020-1(44)-110-118.

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Efficiency of the technical state of the compressor station basic components depends on the timely prediction of the appearance of damages. It is defined by the estimation of the technical state of the basic components during the compression process. It is known that the two-stage centrifugal compressors are commonly used in the Ukrainian compressor stations. So, application software and algorithm for the two-stage centrifugal compressor have been developed, what allows to define its technical state parameters, taking into account the construction features of the compressor volute. The algorithm of the control system of the technical state parameters for the two-stage centrifugal compressor has been represented, what allows to define the receiving of the information order from sensors, methods of the information analysis and the representing order of the information to the operator. Application software for the control system of the technical state parameters of the two-stage centrifugal compressor has been organized like the application program module to aim to analyze and define the technical state of the two-stage centrifugal compressor during the compression process. It was written in the object-oriented language Delphi, and with the opportunity of its integration into existing software for conrolling the compressor. The software provides the capability of data collection and processing, the mathematical model parameters identification of the centrifugal compressor, determining volumetric productivity values, which correspond to the conditions where the centrifugal compressor is a new one or after its overhaul, calculating technical state parameters of the compressor and the expert estimation of the volute technical state of the two-stage centrifugal compressor based on fuzzy logic. Application software for the parameters control of the two-stage centrifugal compressor has been tested during operation of the two-stage centrifugal compressor 650-21-2 of the compressor station 39 of Bogorodchany linear production administration of gas transmittal pipelines. Obtained results confirmed the average deterioration of the volute technical state.

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Muttalib, Surya Abdul, Nursigit Bintoro, Joko Nugroho Wahyu Karyadi e Arifin Dwi Saputro. "Development of Device for Pressure Control System in a Freezer of Pressed-Plate Type". Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 12, n. 1 (2 marzo 2023): 139. http://dx.doi.org/10.23960/jtep-l.v12i1.139-151.

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The process of freezing foodstuffs can be done by using a cold metal plate that is in contact with the frozen material (contact plate freezing). The magnitude of contact Force Compressive applied needs to be controlled so as not to damage the frozen material. The purpose of this study was to develop and evaluate the performance of a Force Compression control system on a contact plate freezer. The Force Compression control system was composed of a load cell mounted on a Force Compression device, connected to a set of controllers consisting of an HX711 module, ATM Mega Arduino and a computer using the Borland Delphi 7 language. The results showed that the developed system was able to control the compression process of the equipment by turning off voltage input of the motor when the specified setting point has been reached. The results of Force Compression values when the motor in off position for the setting points of 50, 100, 150, 200, 250, and 300 kg.m/s2 were 58.25, 110.25, 162.67, 213.83, 264.55, and 317.61 kg.m/s2, respectively. There was a difference that gradually increased with increasing setting point value, where the real Force Compression values when the motor off were higher than the setting point values. The relationship between real Force Compression and setting point Force Compression could be given in the form of a linear regression equation y = 1.06897x + 6.14667 with a value of R2 = 0.99, RMSE 1,53 and MAPE 11,75 %. Keywords: Arduino, Control system, Force Compression, Force Compression plate, Setting point

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Lim, Se-Min, e Sang-Woo Jun. "MobileNets Can Be Lossily Compressed: Neural Network Compression for Embedded Accelerators". Electronics 11, n. 6 (9 marzo 2022): 858. http://dx.doi.org/10.3390/electronics11060858.

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Although neural network quantization is an imperative technology for the computation and memory efficiency of embedded neural network accelerators, simple post-training quantization incurs unacceptable levels of accuracy degradation on some important models targeting embedded systems, such as MobileNets. While explicit quantization-aware training or re-training after quantization can often reclaim lost accuracy, this is not always possible or convenient. We present an alternative approach to compressing such difficult neural networks, using a novel variant of the ZFP lossy floating-point compression algorithm to compress both model weights and inter-layer activations and demonstrate that it can be efficiently implemented on an embedded FPGA platform. Our ZFP variant, which we call ZFPe, is designed for efficient implementation on embedded accelerators, such as FPGAs, requiring a fraction of chip resources per bandwidth compared to state-of-the-art lossy compression accelerators. ZFPe-compressing the MobileNet V2 model with an 8-bit budget per weight and activation results in significantly higher accuracy compared to 8-bit integer post-training quantization and shows no loss of accuracy, compared to an uncompressed model when given a 12-bit budget per floating-point value. To demonstrate the benefits of our approach, we implement an embedded neural network accelerator on a realistic embedded acceleration platform equipped with the low-power Lattice ECP5-85F FPGA and a 32 MB SDRAM chip. Each ZFPe module consumes less than 6% of LUTs while compressing or decompressing one value per cycle, requiring a fraction of the resources compared to state-of-the-art compression accelerators while completely removing the memory bottleneck of our accelerator.

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Delarue, Morgan, Gregory Poterewicz, Ori Hoxha, Jessica Choi, Wonjung Yoo, Jona Kayser, Liam Holt e Oskar Hallatschek. "SCWISh network is essential for survival under mechanical pressure". Proceedings of the National Academy of Sciences 114, n. 51 (29 novembre 2017): 13465–70. http://dx.doi.org/10.1073/pnas.1711204114.

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Cells that proliferate within a confined environment build up mechanical compressive stress. For example, mechanical pressure emerges in the naturally space-limited tumor environment. However, little is known about how cells sense and respond to mechanical compression. We developed microfluidic bioreactors to enable the investigation of the effects of compressive stress on the growth of the genetically tractable model organism Saccharomyces cerevisiae. We used this system to determine that compressive stress is partly sensed through a module consisting of the mucin Msb2 and the cell wall protein Sho1, which act together as a sensor module in one of the two major osmosensing pathways in budding yeast. This signal is transmitted via the MAPKKK kinase Ste11. Thus, we term this mechanosensitive pathway the “SMuSh” pathway, for Ste11 through Mucin/Sho1 pathway. The SMuSh pathway delays cells in the G1 phase of the cell cycle and improves cell survival in response to growth-induced pressure. We also found that the cell wall integrity (CWI) pathway contributes to the response to mechanical compressive stress. These latter results are confirmed in complimentary experiments in Mishra et al. [Mishra R, et al. (2017) Proc Natl Acad Sci USA, 10.1073/pnas.1709079114]. When both the SMuSh and the CWI pathways are deleted, cells fail to adapt to compressive stress, and all cells lyse at relatively low pressure when grown in confinement. Thus, we define a network that is essential for cell survival during growth under pressure. We term this mechanosensory system the SCWISh (survival through the CWI and SMuSh) network.

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Lesyk, V. O., e А. Yu Doroshenko. "Image compression module based neural network autoencoders". PROBLEMS IN PROGRAMMING, n. 1 (gennaio 2023): 48–57. http://dx.doi.org/10.15407/pp2023.01.048.

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A new approach is proposed to data compression in the form of a neural network module based on the structure of autoencoders, which has the most optimal learning time, compression level and obtains sufficiently clear image reconstruction. The main mechanisms for building the structure of encoder and decoder neural networks, which are used as a module, have been developed. The main data for the reconstruction were selected from the open data set Fashion-MNIST, which allows simplified testing of neural network structures, the process of their training and obtaining results. Approaches to image reproduction using neural network layers of convolution and inverse convolution are analyzed. An analysis of the impact on the quality of the resulting image reconstruction of the structure of the output module, which is used to compress the input image, was carried out. Atypical behavior was found during the increase of layers in the structure of the autoencoder, which did not lead to an increase in the quality of image reproduction. The basic necessity of changing the structural parts of the autoencoder and its application in combination with other technologies to obtain a better reproduction result and the elimination of distortions is highlighted.

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Deng, En-Feng, Jun-Yi Lian, Zhe Liu, Guang-Cao Zhang, Shi-Bo Wang e Dian-Bin Cao. "Compressive Behavior of a Fully Prefabricated Liftable Connection for Modular Steel Construction". Buildings 12, n. 5 (13 maggio 2022): 649. http://dx.doi.org/10.3390/buildings12050649.

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Modular steel construction (MSC) consists of the off-site prefabrication of a fully finished module and the on-site assembling of the module unit. The popularity of MSC is on the rise, attributable to its technical advantages of speed and quality of buildings with repetitive units. Inter-module connection is critical for the overall stability and load-bearing capacity of MSC. An innovative, fully prefabricated liftable connection (FPLC) using standard corner fittings and long stay bolts is proposed in this paper. This paper focuses on the axial compressive behavior and design of FPLC. Five full-scale specimens were tested under axial compression. Local buckling of the column and shear of the long stay bolts were observed during the test. It can be concluded from the test results that the load-bearing capacity may decrease as the number and diameter of the stay bolts increase. A three-dimensional nonlinear finite element model (FEM) was developed and validated against the test results by general purpose finite element software ABAQUS. Furthermore, a parametric study was conducted using the verified FEM to provide a better understanding of the axial compressive behavior of the FPLC. The results of the parametric study indicated that the corner fitting can be up to 15% lighter for columns with thicknesses of 6 mm and 8 mm without substantial reduction of the axial load-bearing capacity of the FPLC. Moreover, the location of the column can be adjusted to achieve a uniform Von Mises stress and equivalent plastic strain (PEEQ) distribution of the connection. The presented research work provides an engineering-practical inter-module connection on its axial compressive behavior, which will provide helpful references for further application of MSC.

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Aranda, Luis Alberto, Antonio Sánchez, Francisco Garcia-Herrero, Yubal Barrios, Roberto Sarmiento e Juan Antonio Maestro. "Reliability Analysis of the SHyLoC CCSDS123 IP Core for Lossless Hyperspectral Image Compression Using COTS FPGAs". Electronics 9, n. 10 (14 ottobre 2020): 1681. http://dx.doi.org/10.3390/electronics9101681.

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Hyperspectral images can comprise hundreds of spectral bands, which means that they can represent a large volume of data difficult to manage with the available on-board resources. Lossless compression solutions are interesting for reducing the amount of information stored or transmitted while preserving it at the same time. The Hyperspectral Lossless Compressor for space applications (SHyLoC), which is part of the European Space Agency (ESA) IP core’s library, has been demonstrated to meet the requirements of space missions in terms of compression efficiency, low complexity and high throughput. Currently, there is a trend to use Commercial Off-The-Shelf (COTS) on-board electronic devices on small satellites. Moreover, commercial Field-Programmable Gate Arrays (FPGAs) have been used in a number of them. Hence, a reliability analysis is required to ensure the robustness of the applications to Single Event Upsets (SEUs) in the configuration memory. In this work, we present a reliability analysis of this hyperspectral image compression module as a first step towards the development of ad-hoc fault-tolerant protection techniques for the SHyLoC IP core. The reliability analysis is performed using a fault-injection-based experimental set-up in which a hardware implementation of the Consultative Committee for Space Data Systems (CCSDS) 123.0-B-1 lossless compression standard is tested against configuration memory errors in a Xilinx Zynq XC7Z020 System-on-Chip. The results obtained for unhardened and redundancy-based protected versions of the module are put into perspective in terms of area/power consumption and availability/protection coverage gained to provide insight into the development of more efficient knowledge-based protection schemes.

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Fira, Monica, Hariton-Nicolae Costin e Liviu Goraș. "A Study on Dictionary Selection in Compressive Sensing for ECG Signals Compression and Classification". Biosensors 12, n. 3 (27 febbraio 2022): 146. http://dx.doi.org/10.3390/bios12030146.

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The paper proposes a comparative analysis of the projection matrices and dictionaries used for compressive sensing (CS) of electrocardiographic signals (ECG), highlighting the compromises between the complexity of preprocessing and the accuracy of reconstruction. Starting from the basic notions of CS theory, this paper proposes the construction of dictionaries (constructed directly by cardiac patterns with R-waves, centered or not-centered) specific to the application and the results of their testing. Several types of projection matrices are also analyzed and discussed. The reconstructed signals are analyzed quantitatively and qualitatively by standard distortion measures and by the classification of the reconstructed signals. We used a k-nearest neighbors (KNN) classifier to evaluate the reconstructed models. The KNN module was trained with the models from the mega-dictionary used in the classification block and tested with the models reconstructed with class-specific dictionaries. In addition to the KNN classifier, a neural network was used to test the reconstructed signals. The neural network was a multilayer perceptron (MLP). Moreover, the results are compared with those obtained with other compression methods, and ours proved to be superior.

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Liu, Jinyang, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen e Franck Cappello. "High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation". Proceedings of the ACM on Management of Data 2, n. 1 (12 marzo 2024): 1–27. http://dx.doi.org/10.1145/3639259.

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Error-bounded lossy compression has been identified as a promising solution for significantly reducing scientific data volumes upon users' requirements on data distortion. For the existing scientific error-bounded lossy compressors, some of them (such as SPERR and FAZ) can reach fairly high compression ratios and some others (such as SZx, SZ, and ZFP) feature high compression speeds, but they rarely exhibit both high ratio and high speed meanwhile. In this paper, we propose HPEZ with newly-designed interpolations and quality-metric-driven auto-tuning, which features significantly improved compression quality upon the existing high-performance compressors, meanwhile being exceedingly faster than high-ratio compressors. The key contributions lie as follows: (1) We develop a series of advanced techniques such as interpolation re-ordering, multi-dimensional interpolation, and natural cubic splines to significantly improve compression qualities with interpolation-based data prediction. (2) The auto-tuning module in HPEZ has been carefully designed with novel strategies, including but not limited to block-wise interpolation tuning, dynamic dimension freezing, and Lorenzo tuning. (3) We thoroughly evaluate HPEZ compared with many other compressors on six real-world scientific datasets. Experiments show that HPEZ outperforms other high-performance error-bounded lossy compressors in compression ratio by up to 140% under the same error bound, and by up to 360% under the same PSNR. In parallel data transfer experiments on the distributed database, HPEZ achieves a significant performance gain with up to 40% time cost reduction over the second-best compressor.

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Liu, Baichen, Dongwei Wang, Qi Lv, Zhi Han e Yandong Tang. "Towards Super Compressed Neural Networks for Object Identification: Quantized Low-Rank Tensor Decomposition with Self-Attention". Electronics 13, n. 7 (2 aprile 2024): 1330. http://dx.doi.org/10.3390/electronics13071330.

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Deep convolutional neural networks have a large number of parameters and require a significant number of floating-point operations during computation, which limits their deployment in situations where the storage space is limited and computational resources are insufficient, such as in mobile phones and small robots. Many network compression methods have been proposed to address the aforementioned issues, including pruning, low-rank decomposition, quantization, etc. However, these methods typically fail to achieve a significant compression ratio in terms of the parameter count. Even when high compression rates are achieved, the network’s performance is often significantly deteriorated, making it difficult to perform tasks effectively. In this study, we propose a more compact representation for neural networks, named Quantized Low-Rank Tensor Decomposition (QLTD), to super compress deep convolutional neural networks. Firstly, we employed low-rank Tucker decomposition to compress the pre-trained weights. Subsequently, to further exploit redundancies within the core tensor and factor matrices obtained through Tucker decomposition, we employed vector quantization to partition and cluster the weights. Simultaneously, we introduced a self-attention module for each core tensor and factor matrix to enhance the training responsiveness in critical regions. The object identification results in the CIFAR10 experiment showed that QLTD achieved a compression ratio of 35.43×, with less than 1% loss in accuracy and a compression ratio of 90.61×, with less than a 2% loss in accuracy. QLTD was able to achieve a significant compression ratio in terms of the parameter count and realize a good balance between compressing parameters and maintaining identification accuracy.

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Travers, T., M. Ammi, D. Bideau, A. Gervois, J. Lemaitre, J. C. Messager e J. P. Troadec. "Compression de milieux granulaires modèles à deux dimensions". Revue Française de Géotechnique, n. 43 (1988): 21–34. http://dx.doi.org/10.1051/geotech/1988043021.

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Ho, Bruce K. T. "Specialized module for full frame radiological image compression". Optical Engineering 30, n. 5 (1991): 544. http://dx.doi.org/10.1117/12.55848.

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Kotomin, Sergey V., e Anton V. Mityukov. "ДЕФОРМАЦИОННЫЕ СВОЙСТВА ВЫСОКОНАПОЛНЕННЫХ МЕТАЛЛОПОЛИМЕРНЫХ КОМПОЗИЦИЙ". Transactions of the Kоla Science Centre of RAS. Series: Engineering Sciences 3, n. 3/2023 (14 aprile 2023): 198–202. http://dx.doi.org/10.37614/2949-1215.2023.14.3.036.

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The deformation behavior of model highly filled metal polymer aluminum powder compositions in polyethylene glycol under simultaneous action of compression and shear studied. The compression module increases with the increase of the compression, wherein the shear module significantly reduces. The discovered effect is related to the redistribution of the elastic layer between the rigid particles of the filler in the normal direction and in the shear area. The model of behavior of highly filled polymer compositions in these conditions proposed.

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Ratov, Denis. "DEVELOPMENT OF METHOD AND SOFTWARE FOR COMPRESSION AND ENCRYPTION OF INFORMATION". Journal of Automation and Information sciences 1 (1 gennaio 2022): 66–73. http://dx.doi.org/10.34229/1028-0979-2022-1-7.

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Researches of the subject area of lossless information compression and with data loss are carried out and data compression algorithms with minimal redundancy are considered: Shannon-Fano coding, Huffman coding and compression using a dictionary: Lempel-Ziv coding. In the course of the work, the theoretical foundations of data compression were used, studies of various methods of data compression were carried out, the best methods of archiving with encryption and storage of various kinds of data were identified. The method of archiving data in the work is used for the purpose of safe and rational placement of information on external media and its protection from deliberate or accidental destruction or loss. In the Embarcadero RAD Studio XE8 integrated development environment, a software package for an archiver with code protection of information has been developed. The archiverʼs mechanism of operation is based on the creation and processing of streaming data. The core of the archiver is the function of compressing and decompressing files using the Lempel-Ziv method. As a method and means of protecting information in the archive, poly-alphabetic substitution (Viziner cipher) was used. The results of the work, in particular, the developed software can be practically used for archival storage of protected information; the mechanism of data archiving and encryption can be used in information transmission systems in order to reduce network traffic and ensure data security. The resulting encryption and archiving software was used in the module of the software package «Diplomas SNU v.2.6.1», which was developed at the Volodymyr Dal East Ukrainian National University. This complex is designed to create a unified register of diplomas at the university, automate the creation of files-diplomas of higher education in the multifunctional graphics editor Adobe Photoshop. The controller exports all data for analysis and formation of diplomas from the parameters of the corresponding XML files downloaded from the unified state education database in compressed zip archives. The developed module performs the process of unzipping and receiving XML-files with parameters for the further work of the complex «Diplomas SNU v.2.6.1».

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Hanafi, Idris, e Amal Abdel-Raouf. "P-Codec: Parallel Compressed File Decompression Algorithm for Hadoop". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, n. 8 (24 maggio 2016): 6991–98. http://dx.doi.org/10.24297/ijct.v15i8.1500.

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The increasing amount and size of data being handled by data analytic applications running on Hadoop has created a need for faster data processing. One of the effective methods for handling big data sizes is compression. Data compression not only makes network I/O processing faster, but also provides better utilization of resources. However, this approach defeats one of Hadoopâ€™s main purposes, which is the parallelism of map and reduce tasks. The number of map tasks created is determined by the size of the file, so by compressing a large file, the number of mappers is reduced which in turn decreases parallelism. Consequently, standard Hadoop takes longer times to process. In this paper, we propose the design and implementation of a Parallel Compressed File Decompressor (P-Codec) that improves the performance of Hadoop when processing compressed data. P-Codec includes two modules; the first module decompresses data upon retrieval by a data node during the phase of uploading the data to the Hadoop Distributed File System (HDFS). This process reduces the runtime of a job by removing the burden of decompression during the MapReduce phase. The second P-Codec module is a decompressed map task divider that increases parallelism by dynamically changing the map task split sizes based on the size of the final decompressed block. Our experimental results using five different MapReduce benchmarks show an average improvement of approximately 80% compared to standard Hadoop.

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Tang, Junlong, Shenbo Liu, Dongxue Zhao, Lijun Tang, Wanghui Zou e Bin Zheng. "An Algorithm for Real-Time Aluminum Profile Surface Defects Detection Based on Lightweight Network Structure". Metals 13, n. 3 (2 marzo 2023): 507. http://dx.doi.org/10.3390/met13030507.

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Surface defects, which often occur during the production of aluminum profiles, can directly affect the quality of aluminum profiles, and should be monitored in real time. This paper proposes an effective, lightweight detection method for aluminum profiles to realize real-time surface defect detection with ensured detection accuracy. Based on the YOLOv5s framework, a lightweight network model is designed by adding the attention mechanism and depth-separable convolution for the detection of aluminum. The lightweight network model improves the limitations of the YOLOv5s framework regarding to its detection accuracy and detection speed. The backbone network GCANet is built based on the Ghost module, in which the Attention mechanism module is embedded in the AC3Ghost module. A compression of the backbone network is achieved, and more channel information is focused on. The model size is further reduced by compressing the Neck network using a deep separable convolution. The experimental results show that, compared to YOLOv5s, the proposed method improves the mAP by 1.76%, reduces the model size by 52.08%, and increases the detection speed by a factor of two. Furthermore, the detection speed can reach 17.4 FPS on Nvidia Jeston Nano’s edge test, which achieves real-time detection. It also provides the possibility of embedding devices for real-time industrial inspection.

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MLHEM, Maiasa. "STIFFNESS MODULE AND COMPRESSION STRENGTH OF POLYMER-TREATED SAND". Architecture, Civil Engineering, Environment 11, n. 1 (2018): 97–104. http://dx.doi.org/10.21307/acee-2018-010.

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Makwana, Yasin, Dereje Agonafer e Dan Manole. "Impact of TXV and Compressor in the Stability of a High-End Computer Refrigeration System". Journal of Electronic Packaging 126, n. 4 (1 dicembre 2004): 554–59. http://dx.doi.org/10.1115/1.1827272.

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The combination of increased power dissipation and increased packaging density has led to substantial increases in chip and module heat flux in high-end computers. The challenge is to limit the rise in chip temperature above the ambient. In the past, virtually all commercial computers were designed to operate at temperatures above the ambient. However, researchers have identified the advantages of operating electronics at low temperatures. Until recently, large-scale scientific computers used direct immersion cooling of single-chip modules. The current research focuses on mainframes (computer system), which uses a conventional refrigeration system to maintain chip temperatures below that of comparable air-cooled systems, but well above cryogenic temperatures. Multivariable control of compressor speed along with thermostatic expansion valve (TXV) opening can give better stability and performance. TXV is a mechanical controlling device used in the refrigeration system. The compressor is the only mechanical-working component in the refrigeration cycle that circulates refrigerant through the system continuously. Hence, controlling the compressor is an important aspect. The control objective is defined as improving the transient behavior of the vapor compression cycle for the refrigeration system operating around an evaporator set-point temperature. The system behavior is studied in two cases, TXV being the only control element in the first case, while TXV and a compressor both act as control elements in the other case.

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Ye, Kangsheng, Yi Li, Ge Li, Dengchao Jin e Bo Zhao. "End-to-End Light Field Image Compression with Multi-Domain Feature Learning". Applied Sciences 14, n. 6 (8 marzo 2024): 2271. http://dx.doi.org/10.3390/app14062271.

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Recently, end-to-end light field image compression methods have been explored to improve compression efficiency. However, these methods have difficulty in efficiently utilizing multi-domain features and their correlation, resulting in limited improvement in compression performance. To address this problem, a novel multi-domain feature learning-based light field image compression network (MFLFIC-Net) is proposed to improve compression efficiency. Specifically, an EPI-based angle completion module (E-ACM) is developed to obtain a complete angle feature by fully exploring the angle information with a large disparity contained in the epipolar plane image (EPI) domain. Furthermore, in order to effectively reduce redundant information in the light field image, a spatial-angle joint transform module (SAJTM) is proposed to reduce redundancy by modeling the intrinsic correlation between spatial and angle features. Experimental results demonstrate that MFLFIC-Net achieves superior performance on MS-SSIM and PSNR metrics compared to public state-of-the-art methods.

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Zhang, Shujing, Manyu Zhang, Yujie Cui, Xingyue Liu, Bo He e Jiaxing Chen. "A fast ELM-based machine compression scheme for underwater image transmission on a low-bandwidth acoustic channel". Sensor Review 39, n. 4 (15 luglio 2019): 542–53. http://dx.doi.org/10.1108/sr-08-2018-0204.

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Purpose This paper aims to propose a fast machine compression scheme, which can solve the problem of low-bandwidth transmission for underwater images. Design/methodology/approach This fast machine compression scheme mainly consists of three stages. Firstly, raw images are fed into the image pre-processing module, which is specially designed for underwater color images. Secondly, a divide-and-conquer (D&C) image compression framework is developed to divide the problem of image compression into a manageable size. And extreme learning machine (ELM) is introduced to substitute for principal component analysis (PCA), which is a traditional transform-based lossy compression algorithm. The execution time of ELM is very short, thus the authors can compress the images at a much faster speed. Finally, underwater color images can be recovered from the compressed images. Findings Experiment results show that the proposed scheme can not only compress the images at a much faster speed but also maintain the acceptable perceptual quality of reconstructed images. Originality/value This paper proposes a fast machine compression scheme, which combines the traditional PCA compression algorithm with the ELM algorithm. Moreover, a pre-processing module and a D&C image compression framework are specially designed for underwater images.

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Yu, Hong Bo, Bai Rui Tao, Heng Jun Zhu e Hui Li. "Design of Embedded Remote Monitoring Terminal Based on 3G Module SIM4100". Applied Mechanics and Materials 29-32 (agosto 2010): 2369–73. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2369.

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This article presents a remote image monitoring System based on TD_SCDMA technology. This system takes Samsung’s S3C2440 as the processor and the LCD touch screen as the interface. It runs the Linux operating system and captures image information through the front camera. After dealing with image compression by the video capture and compression card, the SIM4100 module carries on the real-time transmission via 3G network, so as to achieve the purpose of remote image monitoring.

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Karatepe, Şule, İsmail Boztosun e Mahmut Doğru. "Analysis of Elastic Scattering Angular Distributions of 11Be + 64Zn System: Compression with Different Models". Indian Journal of Science and Technology 12, n. 44 (30 novembre 2019): 01–04. http://dx.doi.org/10.17485/ijst/2019/v12i44/145523.

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Sum, Rithea, Watcharapan Suwansantisuk e Pinit Kumhom. "Remote field-programmable gate array laboratory for signal acquisition and design verification". International Journal of Electrical and Computer Engineering (IJECE) 14, n. 2 (1 aprile 2024): 2344. http://dx.doi.org/10.11591/ijece.v14i2.pp2344-2360.

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A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embedded-system design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.

Articoli di riviste sul tema "Compression de modèle"

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