Academic literature on the topic 'Sedimentation analysis – Data processing'

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Journal articles on the topic "Sedimentation analysis – Data processing"

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Fitriana, Indri Rahmandhani, Djoko Legono, and Heriantono Waluyadi. "Reservoir sedimentation regime analysis: case study of Kedungombo reservoir and Sermo reservoir." MEDIA KOMUNIKASI TEKNIK SIPIL 27, no. 1 (August 20, 2021): 80–87. http://dx.doi.org/10.14710/mkts.v27i1.35978.

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The Kedungombo and the Sermo Reservoirs have problems in fulfilling basic services because of sedimentation. Sedimentation that occurs in each of the reservoirs would form a specific reservoir sedimentation pattern that is supposed to be similar because the hydrology and physiography conditions of the reservoir's catchment area are similar. This study aims to determine the dynamics of sedimentation patterns that occur in the dead storage for reviewing the characteristics/sedimentation regime of the two reservoirs. The analysis was carried out by processing bathymetrical data which were processed into a digital terrain model (DTM) using ArcGIS. Furthermore, the storage volume, sedimentation volume, storage percentage, and specific reservoir sedimentation rate are calculated. The results showed that the two reservoirs showed an increase in sedimentation volume each year so that the reservoir characteristic curve shifted from the plan graph. The dead storage capacity of Kedungombo Reservoir is 100% in 1989 to 43% in 2016 and 100% of Sermo Reservoir in 1997 to 58% in 2011. The specific reservoir sedimentation rate, i.e. 0.0031 and 0.0042 million m3/year/km2 for the Kedungombo Reservoir (between 1989 and 2016) and the Sermo Reservoir (between 1997 and 2011) respectively, indicating that the two reservoirs are in the same regime
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Salama, Tedy Harianto, Sri Maryati, and Intan Noviantari Manyoe. "Studi Mekanisme Sedimentasi Formasi Dolokapa, Gorontalo." Jambura Geoscience Review 3, no. 2 (July 26, 2021): 97–111. http://dx.doi.org/10.34312/jgeosrev.v3i2.8475.

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The Dolokapa Formation is a sedimentary rock formation formed in a deep-sea depositional environment with a fairly complex level of deformation and tectonic arrangement. Analysis of the sedimentation mechanism is carried out to determine how much tectonic influence on the mechanisms that occur in a depositional environment and the variations in the sedimentation mechanism formed. Research on the sedimentation mechanism needs to be carried out to determine the history of the formation of Gorontalo sedimentary rocks, especially in the Dolokapa Formation which was formed during the Miocene. The purpose of this study is to know the mechanisms of deep-marine sedimentation based on the identification of lithological characteristics, layer stacking patterns, and sedimentary structures. The method used was measuring sections using a range of ropes divided into four measurement paths. After that, a correlation was performed based on the genesis of deep marine formation. Based on the results of processing and analysis of the data, obtained units of lithology that insertion silty-clay, and the sandstone graining insertion of silt. In vertical succession, the layering pattern formed generally thickens upwards which describes the energy of the depositional currents. The sedimentary structure consists of rip up-clast, parallel lamination, graded bedding, convolute, slump, and trace fossils of nereites trace fossils of nereites that characterize the sedimentation of traction currents and turbidite currents in the deep-sea environment. The sedimentation mechanism formed is the traction current mechanism which is a further development of turbidite current and high-low concentration turbidity current mechanism that occurs slowly on a suspension-controlled grain. The stratigraphic relationship of the rock units in the research area is aligned based on the genesis formation that is located in the setting of the deep marine.
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Fauzi, Irfan, Danial Sultan, and Abdul Rauf. "KAJIAN PERUBAHAN GARIS PANTAI DENGAN MENGGUNAKAN TEKNOLOGI PENGINDRAAN JAUH DI WILAYAH PESISIR KECAMATAN SINJAI TIMUR, KABUPATEN SINJAI." JOURNAL OF INDONESIAN TROPICAL FISHERIES (JOINT-FISH) : Jurnal Akuakultur, Teknologi Dan Manajemen Perikanan Tangkap, Ilmu Kelautan 4, no. 1 (June 30, 2021): 35–46. http://dx.doi.org/10.33096/joint-fish.v4i1.87.

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Coastal is the meeting area between land and sea. This study aimed to (1) calculate how much shoreline change in East Sinjai Sub-district (2) analyze the factors that influence changes in the coastline in East Sinjai District (3) formulate strategic directions for shoreline change management in East Sinjai Sub-district. Citra data processing method used Er-Mappaer and Arcgis, and management strategy direction used SWOT analysis. The results of citra interpretation showed that the shoreline change in abrasion was 9.73 Ha and accretion was 20.39 Ha. The factors that caused the changes in the coastline included waves, currents, tides and conditions of the coastal ecosystem in East Sinjai Sub-district. In the coastal management analysis, there were 4 management strategies; determined coastal conservation areas as a measure to control abrasion and sedimentation, developed strategies that referred to ICM (integrated Coastal Management), improved the quality and awareness of human resources on coastal environmental management and law enforcement and institutional strengthening in coastal management. The use of high-resolution citra required further research by adding parameters such as the type of substrate and sedimentation rate. For the government of Sinjai District to conduct a study on mitigation of coastal abrasion and sedimentation disasters.
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Uttinger, Maximilian J., Timon R. Heyn, Uwe Jandt, Simon E. Wawra, Bettina Winzer, Julia K. Keppler, and Wolfgang Peukert. "Measurement of length distribution of beta-lactoglobulin fibrils by multiwavelength analytical ultracentrifugation." European Biophysics Journal 49, no. 8 (January 31, 2020): 745–60. http://dx.doi.org/10.1007/s00249-020-01421-4.

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AbstractThe whey protein beta-lactoglobulin is the building block of amyloid fibrils which exhibit a great potential in various applications. These include stabilization of gels or emulsions. During biotechnological processing, high shear forces lead to fragmentation of fibrils and therefore to smaller fibril lengths. To provide insight into such processes, pure straight amyloid fibril dispersions (prepared at pH 2) were produced and sheared using the rotor stator setup of an Ultra Turrax. In the first part of this work, the sedimentation properties of fragmented amyloid fibrils sheared at different stress levels were analyzed with mulitwavelength analytical ultracentrifugation (AUC). Sedimentation data analysis was carried out with the boundary condition that fragmented fibrils were of cylindrical shape, for which frictional properties are known. These results were compared with complementary atomic force microscopy (AFM) measurements. We demonstrate how the sedimentation coefficient distribution from AUC experiments is influenced by the underlying length and diameter distribution of amyloid fibrils.In the second part of this work, we show how to correlate the fibril size reduction kinetics with the applied rotor revolution and the resulting energy density, respectively, using modal values of the sedimentation coefficients obtained from AUC. Remarkably, the determined scaling laws for the size reduction are in agreement with the results for other material systems, such as emulsification processes or the size reduction of graphene oxide sheets.
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Matsui, Yoshihiko, Norihito Tambo, Tokio Ohto, and Yasushi Zaitsu. "Dual Wavelength Photometric Dispersion Analysis of Coagulation and Flocculation." Water Science and Technology 27, no. 11 (June 1, 1993): 153–65. http://dx.doi.org/10.2166/wst.1993.0274.

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A technique to evaluate the coagulat ion/flocculation process on fluctuating light intensity transmitted through a flowing suspension has been developed recently for online monitoring in a flocculation system. In this paper, the authors tried to expand this technique to perform direct evaluation of floc size, settling velocity, and residual color after aluminum coagulation from the fluctuating light absorption using dual wavelengths. A theoretical study was carried out to establish the data handling algorithms for the evaluation of the above mentioned values from the fluctuating light absorbance. Two specific wavelengths were selected at near infrared and ultraviolet regions in order to characterize suspended matters and soluble colored organics. The usefulness of the proposed theory was verified in a series of batch coagulation tests with a newly developed dual wavelength photometric dispersion analyzer (DPDA). With an improved high precision photometer and data processing ci rcuits, the extent of color colloid removal can be estimated at the beginning stage of coagulation/flocculation. The algorithms for the evaluation of floc size were calibrated and verified in flocculation experiments with micro photography. Flocculation and sedimentation experiments showed that settling velocity was successfully estimated by the proposed algorithms.
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Shin, Bumshick, and KyuHan Kim. "Analysis of Wave-Induced Current Using Digital Image Correlation Techniques." Journal of Sensors 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/1784507.

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Recently, advancement of digital image techniques and communications technology has enabled the application of existing images for scientific purposes. Furthermore, both quantitative and qualitative analyses of images have become possible through image processing such as transmit/storage of digital image data and image rectification. In this study, a coast having representative characteristics of east coast of Korea was selected with having erosion in winter, and the sedimentation in summer takes place repeatedly. Three-dimensional hydraulic model test was conducted to analyze its outcomes by a digital image correlation technique in order to understand the wave-induced current affecting the sediment transport. For this study, images filmed by the high-sensitive and high-resolution video camera were converted into stopped images of regular intervals and then those converted images were used for the following procedure to analyze flow and velocity into digital coordinates. The outcomes from interpretation of images filmed by the high-sensitive and high-resolution video camera can be utilized as a very useful analysis method for appreciating the generation mechanism and movement route of longshore current and rip current.
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Boxhammer, Tim, Lennart T. Bach, Jan Czerny, and Ulf Riebesell. "Technical note: Sampling and processing of mesocosm sediment trap material for quantitative biogeochemical analysis." Biogeosciences 13, no. 9 (May 13, 2016): 2849–58. http://dx.doi.org/10.5194/bg-13-2849-2016.

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Abstract. Sediment traps are the most common tool to investigate vertical particle flux in the marine realm. However, the spatial and temporal decoupling between particle formation in the surface ocean and particle collection in sediment traps at depth often handicaps reconciliation of production and sedimentation even within the euphotic zone. Pelagic mesocosms are restricted to the surface ocean, but have the advantage of being closed systems and are therefore ideally suited to studying how processes in natural plankton communities influence particle formation and settling in the ocean's surface. We therefore developed a protocol for efficient sample recovery and processing of quantitatively collected pelagic mesocosm sediment trap samples for biogeochemical analysis. Sedimented material was recovered by pumping it under gentle vacuum through a silicon tube to the sea surface. The particulate matter of these samples was subsequently separated from bulk seawater by passive settling, centrifugation or flocculation with ferric chloride, and we discuss the advantages and efficiencies of each approach. After concentration, samples were freeze-dried and ground with an easy to adapt procedure using standard lab equipment. Grain size of the finely ground samples ranged from fine to coarse silt (2–63 µm), which guarantees homogeneity for representative subsampling, a widespread problem in sediment trap research. Subsamples of the ground material were perfectly suitable for a variety of biogeochemical measurements, and even at very low particle fluxes we were able to get a detailed insight into various parameters characterizing the sinking particles. The methods and recommendations described here are a key improvement for sediment trap applications in mesocosms, as they facilitate the processing of large amounts of samples and allow for high-quality biogeochemical flux data.
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Junursyah, G. M. Lucki, and Wanda Rahmat. "Potensi Endapan Pasir Besi di Daerah Grabag dan Sekitarnya Berdasarkan Data Geomagnet." Jurnal Geologi dan Sumberdaya Mineral 20, no. 2 (April 15, 2019): 75. http://dx.doi.org/10.33332/jgsm.2019.v20.2.75-83.

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The potential of iron sand in Grabag area and its surrounding, Central Java Province, is not fully known yet because it is covered by thick alluvium, so that mining activities are done unmanaged without seeing the effect of environmental damage caused. This study uses reduction to the pole and upward continuation processing and analysis for Geomagnetic data in order to spread of lateral magnetic anomalies (map) and forward modelling for vertical magnetic anomalies (2D cross-sections). Based on the dispersion of magnetic anomaly, it is known that iron sand potential in the research area is located on old alluvium deposits with depth around 60 m and young coast alluvium sedimentation with depth around of 20 m, forming a lens as sand dump or river bank, followed by lane of ancient river flow pattern with thickness reaching ±10 m. The potential area is estimated to reach 26,329,188 m² with the calculation of hypothetical reserves reaching 69,575 Ton on the southwest and 5,880, 213 Ton in the northwest of the research area. The results of this study are expected to be used as reference for further research, so that it can menage iron sand mining activities more regularly and not caused environmental damaged.Keywords: Geomagnetic, Iron Sand, Alluvium.
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Junursyah, G. M. Lucki, and Wanda Rahmat. "Potensi Endapan Pasir Besi di Daerah Grabag dan Sekitarnya Berdasarkan Data Geomagnet." Jurnal Geologi dan Sumberdaya Mineral 20, no. 2 (April 15, 2019): 75. http://dx.doi.org/10.33332/jgsm.geologi.20.2.75-83.

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The potential of iron sand in Grabag area and its surrounding, Central Java Province, is not fully known yet because it is covered by thick alluvium, so that mining activities are done unmanaged without seeing the effect of environmental damage caused. This study uses reduction to the pole and upward continuation processing and analysis for Geomagnetic data in order to spread of lateral magnetic anomalies (map) and forward modelling for vertical magnetic anomalies (2D cross-sections). Based on the dispersion of magnetic anomaly, it is known that iron sand potential in the research area is located on old alluvium deposits with depth around 60 m and young coast alluvium sedimentation with depth around of 20 m, forming a lens as sand dump or river bank, followed by lane of ancient river flow pattern with thickness reaching ±10 m. The potential area is estimated to reach 26,329,188 m² with the calculation of hypothetical reserves reaching 69,575 Ton on the southwest and 5,880, 213 Ton in the northwest of the research area. The results of this study are expected to be used as reference for further research, so that it can menage iron sand mining activities more regularly and not caused environmental damaged.Keywords: Geomagnetic, Iron Sand, Alluvium.
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Junursyah, G. M. Lucki, and Wanda Rahmat. "Potensi Endapan Pasir Besi di Daerah Grabag dan Sekitarnya Berdasarkan Data Geomagnet." Jurnal Geologi dan Sumberdaya Mineral 20, no. 2 (April 15, 2019): 75. http://dx.doi.org/10.33332/jgsm.geologi.v20i2.422.

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The potential of iron sand in Grabag area and its surrounding, Central Java Province, is not fully known yet because it is covered by thick alluvium, so that mining activities are done unmanaged without seeing the effect of environmental damage caused. This study uses reduction to the pole and upward continuation processing and analysis for Geomagnetic data in order to spread of lateral magnetic anomalies (map) and forward modelling for vertical magnetic anomalies (2D cross-sections). Based on the dispersion of magnetic anomaly, it is known that iron sand potential in the research area is located on old alluvium deposits with depth around 60 m and young coast alluvium sedimentation with depth around of 20 m, forming a lens as sand dump or river bank, followed by lane of ancient river flow pattern with thickness reaching ±10 m. The potential area is estimated to reach 26,329,188 m² with the calculation of hypothetical reserves reaching 69,575 Ton on the southwest and 5,880, 213 Ton in the northwest of the research area. The results of this study are expected to be used as reference for further research, so that it can menage iron sand mining activities more regularly and not caused environmental damaged.Keywords: Geomagnetic, Iron Sand, Alluvium.
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Dissertations / Theses on the topic "Sedimentation analysis – Data processing"

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Irick, Nancy. "Post Processing Data Analysis." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606091.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Once the test is complete, the job of the Data Analyst has begun. Files from the various acquisition systems are collected. It is the job of the analyst to put together these files in a readable format so the success or failure of the test can be attained. This paper will discuss the process of breaking down these files, comparing data from different systems, and methods of presenting the data.
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Bilalli, Besim. "Learning the impact of data pre-processing in data analysis." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/587221.

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There is a clear correlation between data availability and data analytics, and hence with the increase of data availability --- unavoidable according to Moore's law, the need for data analytics increases too. This certainly engages many more people, not necessarily experts, to perform analytics tasks. However, the different, challenging, and time consuming steps of the data analytics process, overwhelm non-experts and they require support (e.g., through automation or recommendations). A very important and time consuming step that marks itself out of the rest, is the data pre-processing step. Data pre-processing is challenging but at the same time has a heavy impact on the overall analysis. In this regard, previous works have focused on providing user assistance in data pre-processing but without being concerned on its impact on the analysis. Hence, the goal has generally been to enable analysis through data pre-processing and not to improve it. In contrast, this thesis aims at developing methods that provide assistance in data pre-processing with the only goal of improving (e.g., increasing the predictive accuracy of a classifier) the result of the overall analysis. To this end, we propose a method and define an architecture that leverages ideas from meta-learning to learn the relationship between transformations (i.e., pre-processing operators) and mining algorithms (i.e., classification algorithms). This eventually enables ranking and recommending transformations according to their potential impact on the analysis. To reach this goal, we first study the currently available methods and systems that provide user assistance, either for the individual steps of data analytics or for the whole process altogether. Next, we classify the metadata these different systems use and then specifically focus on the metadata used in meta-learning. We apply a method to study the predictive power of these metadata and we extract and select the metadata that are most relevant. Finally, we focus on the user assistance in the pre-processing step. We devise an architecture and build a tool, PRESISTANT, that given a classification algorithm is able to recommend pre-processing operators that once applied, positively impact the final results (e.g., increase the predictive accuracy). Our results show that providing assistance in data pre-processing with the goal of improving the result of the analysis is feasible and also very useful for non-experts. Furthermore, this thesis is a step towards demystifying the non-trivial task of pre-processing that is an exclusive asset in the hands of experts.
Existe una clara correlación entre disponibilidad y análisis de datos, por tanto con el incremento de disponibilidad de datos --- inevitable según la ley de Moore, la necesidad de analizar datos se incrementa también. Esto definitivamente involucra mucha más gente, no necesariamente experta, en la realización de tareas analíticas. Sin embargo los distintos, desafiantes y temporalmente costosos pasos del proceso de análisis de datos abruman a los no expertos, que requieren ayuda (por ejemplo, automatización o recomendaciones). Uno de los pasos más importantes y que más tiempo conlleva es el pre-procesado de datos. Pre-procesar datos es desafiante, y a la vez tiene un gran impacto en el análisis. A este respecto, trabajos previos se han centrado en proveer asistencia al usuario en el pre-procesado de datos pero sin tener en cuenta el impacto en el resultado del análisis. Por lo tanto, el objetivo ha sido generalmente el de permitir analizar los datos mediante el pre-procesado y no el de mejorar el resultado. Por el contrario, esta tesis tiene como objetivo desarrollar métodos que provean asistencia en el pre-procesado de datos con el único objetivo de mejorar (por ejemplo, incrementar la precisión predictiva de un clasificador) el resultado del análisis. Con este objetivo, proponemos un método y definimos una arquitectura que emplea ideas de meta-aprendizaje para encontrar la relación entre transformaciones (operadores de pre-procesado) i algoritmos de minería de datos (algoritmos de clasificación). Esto, eventualmente, permite ordenar y recomendar transformaciones de acuerdo con el impacto potencial en el análisis. Para alcanzar este objetivo, primero estudiamos los métodos disponibles actualmente y los sistemas que proveen asistencia al usuario, tanto para los pasos individuales en análisis de datos como para el proceso completo. Posteriormente, clasificamos los metadatos que los diferentes sistemas usan y ponemos el foco específicamente en aquellos que usan metadatos para meta-aprendizaje. Aplicamos un método para estudiar el poder predictivo de los metadatos y extraemos y seleccionamos los metadatos más relevantes. Finalmente, nos centramos en la asistencia al usuario en el paso de pre-procesado de datos. Concebimos una arquitectura y construimos una herramienta, PRESISTANT, que dado un algoritmo de clasificación es capaz de recomendar operadores de pre-procesado que una vez aplicados impactan positivamente el resultado final (por ejemplo, incrementan la precisión predictiva). Nuestros resultados muestran que proveer asistencia al usuario en el pre-procesado de datos con el objetivo de mejorar el resultado del análisis es factible y muy útil para no-expertos. Además, esta tesis es un paso en la dirección de desmitificar que la tarea no trivial de pre-procesar datos esta solo al alcance de expertos.
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Chen, George C. M. "Strategic analysis of a data processing company /." Burnaby B.C. : Simon Fraser University, 2005. http://ir.lib.sfu.ca/handle/1892/3624.

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Research Project (M.B.A.) - Simon Fraser University, 2005.
Research Project (Faculty of Business Administration) / Simon Fraser University. Senior supervisor : Dr. Ed Bukszar. EMBA Program. Also issued in digital format and available on the World Wide Web.
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Chen, Chuan. "Numerical algorithms for data processing and analysis." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/277.

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Magnetic nanoparticles (NPs) with sizes ranging from 2 to 20 nm in diameter represent an important class of artificial nanostructured materials, since the NP size is comparable to the size of a magnetic domain. They have potential applications in data storage, catalysis, permanent magnetic nanocomposites, and biomedicine. To begin with, a brief overview on the background of Fe-based bimetallic NPs and their applications for data-storage and catalysis was presented in Chapter 1. In Chapter 2, L10-ordered FePt NPs with high coercivity were directly prepared from a novel bimetallic acetylenic alternating copolymer P3 by a one-step pyrolysis method without post-thermal annealing. The chemical ordering, morphology and magnetic properties were studied. Magnetic measurements showed that a record coercivity of 3.6 T (1 T = 10 kOe) was obtained in FePt NPs. By comparison of the resultant FePt NPs synthesized under Ar and Ar/H2, the characterization proved that the incorporation of H2 would affect the nucleation and promote the growth of FePt NPs. The L10 FePt NPs were also successfully patterned on Si substrate by nanoimprinting lihthography (NIL). The highly ordered ferromagnetic arrays on a desired substrate for bit-patterned media (BPM) were studied and promised bright prospects for the progress of data-storage. Furthermore, we also reported a new FePt-containing metallopolymer P4 as the single-source precursor for metal alloy NPs synthesis, where the metal fractions were on the side chain and the ratio could be easily controlled. This polymer was synthesized from random copolymer poly(styrene-4-ethynylstyrene) PES-PS and bimetallic precursor TPy-FePt ([Pt(4’-ferrocenyl-(N^N^N))Cl]Cl) by Sonogashira coupling reaction. After pyrolysis of P4, the stoichiometry of Fe and Pt atoms in the synthesized NPs (NPs) is nearly close to 1:1, which is more precise than using TPy-FePt as precursor. Polymer P4 was also more favorable for patterning by high throughout NIL as compared to TPy-FePt. Ferromagnetic nanolines, potentially as bit-patterned magnetic recording media, were successfully fabricated from P4 and fully characterized. In Chapter 3, a novel organometallic compound TPy-FePd-1 [4’-ferrocenyl-(N^N^N)PdOCOCH3] was synthesized and structurally characterized, whose crystal structure showed a coplanar Pd center and Pd-Pd distance (3.17 Å). Two metals Fe and Pd were evenly embedded in the molecular dimension and remained tightly coupled between each other benefiting to the metalmetal (Pd-Pd) and ligand ππ stacking interactions, all of which made it facilitate the nucleation without sintering during preparing the FePd NPs. Ferromagnetic FePd NPs of ca. 16.2 nm in diameter were synthesized by one-pot pyrolysis of the single-source precursor TPy-FePd-1 under getter gas with metal-ion reduction and minimal nanoparticle coalescence, which have a nearly equal atomic ratio (Fe/Pd = 49/51) and exhibited coercivity of 4.9 kOe at 300 K. By imprinting the mixed chloroform solution of TPy-FePd-1 and polystyrene (PS) on Si, reproducible patterning of nanochains was formed due to the excellent self-assembly properties and the incompatibility between TPy-FePd-1 and PS under the slow evaporation of the solvents. The FePd nanochains with average length of ca. 260 nm were evenly dispersed around the PS nanosphere by self-assembly of TPy-FePd-1. In addition, the orientation of the FePd nanochains could also be controlled by tuning the morphology of PS, and the length was shorter in confined space of PS. Orgnic skeleton in TPy-FePd-1 and PS were carbonized and removed by pyrolysis under Ar/H2 (5 wt%) and only magnetic FePd alloy nanochains with domain structure were left. Besides, a bimetallic complex TPy-FePd-2 was prepared and used as a single-source precursor to synthesize ferromagnetic FePd NPs by one-pot pyrolysis. The resultant FePd NPs have a mean size of 19.8 nm and show the coercivity of 1.02 kOe. In addition, the functional group (-NCMe) in TPy-FePd-2 was easily substituted by a pyridyl group. A random copolymer PS-P4VP was used to coordinate with TPy-FePd-2, and the as-synthesized polymer made the metal fraction disperse evenly along the flexible chain. Fabrication of FePd NPs from the polymers was also investigated, and the size could be easily controlled by tuning the metal fraction in polymer. FePd NPs with the mean size of 10.9, 14.2 and 17.9 nm were prepared from the metallopolymer with 5 wt%, 10 wt% and 20wt% of metal fractions, respectively. In Chapter 4, molybdenum disulfide (MoS2) monolayers decorated with ferromagnetic FeCo NPs on the edges were synthesized through a one-step pyrolysis of precursor molecules in an argon atmosphere. The FeCo precursor was spin coated on the MoS2 monolayer grown on Si/SiO2 substrate. Highly-ordered body-centered cubic (bcc) FeCo NPs were revealed under optimized pyrolysis conditions, possessing coercivity up to 1000 Oe at room temperature. The FeCo NPs were well-positioned along the edge sites of MoS2 monolayers. The vibration modes of Mo and S atoms were confined after FeCo NPs decoration, as characterized by Raman shift spectroscopy. These MoS2 monolayers decorated with ferromagnetic FeCo NPs can be used for novel catalytic materials with magnetic recycling capabilities. The sizes of NPs grown on MoS2 monolayers are more uniform than from other preparation routines. Finally, the optimized pyrolysis temperature and conditions provide receipts for decorating related noble catalytic materials. Finally, Chapters 5 and 6 present the concluding remarks and the experimental details of the work described in Chapters 2-4.
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Purahoo, K. "Maximum entropy data analysis." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260038.

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Aygar, Alper. "Doppler Radar Data Processing And Classification." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609890/index.pdf.

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In this thesis, improving the performance of the automatic recognition of the Doppler radar targets is studied. The radar used in this study is a ground-surveillance doppler radar. Target types are car, truck, bus, tank, helicopter, moving man and running man. The input of this thesis is the output of the real doppler radar signals which are normalized and preprocessed (TRP vectors: Target Recognition Pattern vectors) in the doctorate thesis by Erdogan (2002). TRP vectors are normalized and homogenized doppler radar target signals with respect to target speed, target aspect angle and target range. Some target classes have repetitions in time in their TRPs. By the use of these repetitions, improvement of the target type classification performance is studied. K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) algorithms are used for doppler radar target classification and the results are evaluated. Before classification PCA (Principal Component Analysis), LDA (Linear Discriminant Analysis), NMF (Nonnegative Matrix Factorization) and ICA (Independent Component Analysis) are implemented and applied to normalized doppler radar signals for feature extraction and dimension reduction in an efficient way. These techniques transform the input vectors, which are the normalized doppler radar signals, to another space. The effects of the implementation of these feature extraction algoritms and the use of the repetitions in doppler radar target signals on the doppler radar target classification performance are studied.
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Roberts, G. "Some aspects seismic signal processing and analysis." Thesis, Bangor University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379692.

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Dickinson, Keith William. "Traffic data capture and analysis using video image processing." Thesis, University of Sheffield, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306374.

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Valdivia, Paola Tatiana Llerena. "Graph signal processing for visual analysis and data exploration." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15102018-165426/.

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Signal processing is used in a wide variety of applications, ranging from digital image processing to biomedicine. Recently, some tools from signal processing have been extended to the context of graphs, allowing its use on irregular domains. Among others, the Fourier Transform and the Wavelet Transform have been adapted to such context. Graph signal processing (GSP) is a new field with many potential applications on data exploration. In this dissertation we show how tools from graph signal processing can be used for visual analysis. Specifically, we proposed a data filtering method, based on spectral graph filtering, that led to high quality visualizations which were attested qualitatively and quantitatively. On the other hand, we relied on the graph wavelet transform to enable the visual analysis of massive time-varying data revealing interesting phenomena and events. The proposed applications of GSP to visually analyze data are a first step towards incorporating the use of this theory into information visualization methods. Many possibilities from GSP can be explored by improving the understanding of static and time-varying phenomena that are yet to be uncovered.
O processamento de sinais é usado em uma ampla variedade de aplicações, desde o processamento digital de imagens até a biomedicina. Recentemente, algumas ferramentas do processamento de sinais foram estendidas ao contexto de grafos, permitindo seu uso em domínios irregulares. Entre outros, a Transformada de Fourier e a Transformada Wavelet foram adaptadas nesse contexto. O Processamento de Sinais em Grafos (PSG) é um novo campo com muitos aplicativos potenciais na exploração de dados. Nesta dissertação mostramos como ferramentas de processamento de sinal gráfico podem ser usadas para análise visual. Especificamente, o método de filtragem de dados porposto, baseado na filtragem de grafos espectrais, levou a visualizações de alta qualidade que foram atestadas qualitativa e quantitativamente. Por outro lado, usamos a transformada de wavelet em grafos para permitir a análise visual de dados massivos variantes no tempo, revelando fenômenos e eventos interessantes. As aplicações propostas do PSG para analisar visualmente os dados são um primeiro passo para incorporar o uso desta teoria nos métodos de visualização da informação. Muitas possibilidades do PSG podem ser exploradas melhorando a compreensão de fenômenos estáticos e variantes no tempo que ainda não foram descobertos.
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Scheuer, Timothy Ellis. "Complex seismic data : aspects of processing, analysis, and inversion." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/29283.

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A common theme in this thesis is the use of complex signal attributes to facilitate the processing, analysis, and inversion of seismic data. Complex data are formed from real data by removing the negative frequency portion of the Fourier transform and doubling the positive frequency portion. Removing the dual nature of frequency components in real data allows the development of efficient algorithms for time-variant filtering, local phase velocity estimation, and subsequent velocity-depth inversion of shot gathers using Snell traces. For 1-D seismic data, I develop a computationally efficient time-variant filter with an idealized boxcar-like frequency spectrum. The filter can either be zero phase, or it can effect a time-variant phase rotation of the input data. The instantaneous low-frequency and high-frequency cutoffs are independent continuous time functions that are specified by the user. Frequency-domain rolloff characteristics of the filter can be prescribed, but the achieved spectrum depends on the length of the applied filter and the instantaneous frequency cutoffs used. The primary derivation of this theory depends upon the properties of the complex signal and the complex delta function. This formulation is particularly insightful because of the geometrical interpretation it offers in the frequency domain. Basically, a high-pass filter, can be implemented by shifting the Fourier transform of the complex signal towards the negative frequency band, annihilating that portion of the signal that lies to the left of the origin, and then shifting the truncated spectrum back to the right. This geometrical insight permits inference of the mathematical form of a general time-variant band-pass filter. In addition, I show that the time-variant filter reduces to a Hilbert transform filter when the derivation is constrained to include real signal input. Application of the procedure to a spectral function permits frequency-variant windowing of an input time signal. For 2-D arid 3-D seismic data, I propose a new method that uses the concepts of complex trace analysis for the automatic estimation of local phase velocity. A complex seismic record is obtained from a real seismic record by extending complex trace analysis into higher dimensions. Phase velocities are estimated from the complex data by finding trajectories of constant phase. In 2-D, phase velocity calculation reduces to a ratio of instantaneous frequency and wavenumber, and thus provides a measure of the dominant plane-wave component at each point in the seismic record. The algorithm is simple to implement and computational requirements are small; this is partly due to a new method for computing instantaneous frequency and wavenumber which greatly simplifies these calculations for 2-D and 3-D complex records. In addition, this approach has the advantage that no a priori velocity input is needed; however, optimum stability is achieved when a limited range of dipping events is considered. Preconditioning the record with an appropriate velocity filter helps reduce the detrimental effects of crossing events, spatial aliasing, and random noise contamination. Accurate recovery of local phase velocity information about underlying seismic events allows the rapid evaluation of seismic attributes such as rms velocity and maximum depth of ray penetration. I utilize local phase velocity data from a shot gather for the estimation and inversion of Snell traces. The primary Snell trace corresponding to a 1-D velocity model locates all primary reflection energy,corresponding to a fixed emergence angle. Constraints on interval velocity and thickness obtained from several estimated Snell trajectories are inverted using SVD to provide a least squares velocity-depth model. The estimation and inversion is efficiently carried out on an interactive workstation utilizing constraints from a hyperbolic velocity analysis. Finally, Snell trace inversion is extended to an inhomogeneous medium. When dips are small, averaging Snell traces of a common phase velocity from forward and reversed shot gathers approximately removes the effects of planar dip. This allows recovery of velocity and depth vertically beneath the midpoint of the source locations used to obtain the reversed information.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
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Books on the topic "Sedimentation analysis – Data processing"

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T, Harper D. A., ed. Paleontological data analysis. Malden, MA: Blackwell Pub., 2006.

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Wolff, Karl Erich, Dmitry E. Palchunov, Nikolay G. Zagoruiko, and Urs Andelfinger, eds. Knowledge Processing and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22140-8.

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Successful data processing system analysis. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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1941-, McNeil Don, ed. Computer-interactive data analysis. Chichester: Wiley, 1991.

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V, Di Gesù, ed. Data analysis in astronomy. New York: Plenum Press, 1985.

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E, Basham Randall, ed. Data analysis with spreadsheets. Boston: Pearson/Allyn & Bacon, 2006.

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Exploratory and multivariate data analysis. Boston: Academic Press, 1991.

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Data analysis using SAS. Thousand Oaks, Calif: SAGE Publications, 2009.

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Condon, Robert. Data processing systems analysis and design. 4th ed. Reston, Va: Reston Pub. Co., 1985.

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Frauke, Kreuter, ed. Data analysis using stata. 2nd ed. College Station, Tex: Stata Press, 2009.

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Book chapters on the topic "Sedimentation analysis – Data processing"

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Bingham, John. "Systems Analysis." In Data Processing, 91–105. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_8.

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Bingham, John. "The Techniques of Systems Analysis." In Data Processing, 106–38. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_9.

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Akram, Jubran. "Microseismic Data Processing." In Understanding Downhole Microseismic Data Analysis, 55–122. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9_3.

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Chekanov, Sergei V. "Data Analysis and Data Mining." In Advanced Information and Knowledge Processing, 431–73. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28531-3_12.

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Johansson, Robert. "Data Processing and Analysis." In Numerical Python, 405–41. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4246-9_12.

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Johansson, Robert. "Data Processing and Analysis." In Numerical Python, 285–311. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0553-2_12.

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Malley, Brian, Daniele Ramazzotti, and Joy Tzung-yu Wu. "Data Pre-processing." In Secondary Analysis of Electronic Health Records, 115–41. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43742-2_12.

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Cellerino, Alessandro, and Michele Sanguanini. "RNA-seq raw data processing." In Transcriptome Analysis, 27–44. Pisa: Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_3.

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De, Alak. "New Mode of Column Settling Data Analysis." In Sedimentation Process and Design of Settling Systems, 119–42. New Delhi: Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3634-4_8.

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Shi, Xizhi. "Data Analysis and Application Study." In Blind Signal Processing, 301–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11347-5_10.

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Conference papers on the topic "Sedimentation analysis – Data processing"

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Hihara, Yutaro, Hideaki Monji, Yutaka Abe, Susumu Yamashita, and Hiroyuki Yoshida. "Liquid Film Flow on Vertical and Successive Inclined Plate Modeling Flow Channel of Molten Control Rod in Severe Accident." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81690.

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When a severe accident of a nuclear reactor occurs, decommissioning work becomes important task. In the decommissioning work of a boiling water reactor after the severe accident, estimation of the sedimentation place of the molten debris is important. However, the technique to estimate exactly the sedimentation place has not been enough developed. Therefore, the detailed and phenomenological numerical simulation code named “JUPITER” is under development for predicting the molten core behavior in JAEA (Japan Atomic Energy Agency). The comparison between experimental and numerical results is necessary to clarify the validity of the numerical analysis code. The study provides the experimental data to examine the numerical simulation code. As a basic study to examine the numerical simulation code, a liquid film flowing in a modeling flow channel was studied by using water. The flow was visualized, and the flow data were obtained by image processing.
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Yabing Guo and Yuxian Hu. "The fitness analysis of batch sedimentation test data." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536003.

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Allen, Rob L. "Detailed Clastic Maps from Intense Log Data Extractions and Advanced Sedimentation Analysis." In SPE/AAPG Western Regional Meeting. Society of Petroleum Engineers, 2000. http://dx.doi.org/10.2118/62538-ms.

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Avdeev, P., I. Efremov, G. Gogonenkov, S. Elmanovich, and A. Plakhov. "Unique Technologies for Seismic Data Interpretation: Sedimentation and Paleotectonic Analysis, Pseudo 3D." In SPE Russian Petroleum Technology Conference. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/187890-ms.

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Avdeev, P., I. Efremov, G. Gogonenkov, S. Elmanovich, and A. Plakhov. "Unique Technologies for Seismic Data Interpretation: Sedimentation and Paleotectonic Analysis, Pseudo 3D (Russian)." In SPE Russian Petroleum Technology Conference. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/187890-ru.

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Alekseeva, P., I. Kerusov, Y. Ampilov, A. Grinevskiy, E. Kupriyanova, L. Davletova, and S. Moiseev. "Experience in Application Methods of Spectral Analysis of Seismic Data to Solve Sedimentation Problems." In Geomodel 2018. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201802395.

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Butorin, A. V. "Recovery Conditions of Sedimentation Achimov Deposits on the Result of RGB-analysis of Seismic Data." In 6th Saint Petersburg International Conference and Exhibition. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20140272.

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"Data Processing and Analysis." In 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IEEE, 2005. http://dx.doi.org/10.1109/idaacs.2005.283046.

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Dey‐Sarkar, S. K., S. A. Svatek, and O. W. Crewe. "Prestack analysis: Data processing." In SEG Technical Program Expanded Abstracts 1986. Society of Exploration Geophysicists, 1986. http://dx.doi.org/10.1190/1.1893095.

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Alsam, Ali, and Puneet Sharma. "Analysis of Eye Fixations Data." In Signal and Image Processing. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.759-016.

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Reports on the topic "Sedimentation analysis – Data processing"

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Fowler, Kimberly M., Alison H. A. Colotelo, Janelle L. Downs, Kenneth D. Ham, Jordan W. Henderson, Sadie A. Montgomery, Christopher R. Vernon, and Steven A. Parker. Simplified Processing Method for Meter Data Analysis. Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1255411.

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Hodgkiss, W. S. Shallow Water Adaptive Array Processing and Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada306525.

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Boyd, Timothy J. Processing and Analysis of SCICEX-2000 CTD Data. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada628072.

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Boyd, Timothy. Processing and Analysis of SCICEX-2000 CTD Data. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada626128.

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Spina, John F. Integrated RF Sensor Signal/Data Processing Information Analysis Center (IAC). Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada401075.

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Konovalov, Mikhail. Analysis of Industrial Software Solutions for Data Processing and Storage. Intellectual Archive, March 2019. http://dx.doi.org/10.32370/iaj.2071.

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Cheng, Yi-Wen, and Christian L. Sargent. Data-reduction and analysis procedures used in NIST's thermomechanical processing research. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.3950.

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Davis, Dennis, and Robert T. Kroutil. Application of Novel Data Processing Techniques to the Analysis of Ion Mobility Spectrometry (IMS) Data. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada219976.

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Roth, Christopher J., Nelson A. Bonito, Maurice F. Tautz, and Eugene C. Courtney. CHAWS Data Processing and Analysis Tools in Real-Time and Postflight Environments. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada381118.

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Ranjan, Niloo, Jibonananda Sanyal, and Joshua Ryan New. In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1093099.

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