College of Engineering (MU)https://hdl.handle.net/10355/82024-03-28T14:03:18Z2024-03-28T14:03:18Z2nd annual reporthttps://hdl.handle.net/10355/366622023-04-20T15:20:38Z1993-01-01T00:00:00Z2nd annual report
The Capsule Pipeline Research Center is devoted to performing research in capsule pipeline so that this emerging technology can be developed for early use to transport solids including coal, grain, other agricultural products, solid wastes (including hazardous wastes), machine parts and a host of other materials and commodities. The mission of the first four years is to focus on the coal log pipeline (CLP) technology. The Center is now near completion of its second-year research. Areas of research covered under Core Program of the second year include hydrodynamics of coal log flow, wear of coal logs in pipelines, pressure transients in capsule pipeline, pumping and control of coal log flow, fabrication and surface-treatment of coal logs, hydrophobic binder, and legal research in coal log pipeline. The Non-Core Program sponsored by the U.S. Department of Energy and the Electric Power Research Institute explores the economics and commercialization of CLP, and how to handle coal logs and treat CLP effluent water at power plants. Ten faculty members and more than 30 students from both the Columbia Campus and the Rolla Campus participated in the second-year research. Important research findings and accomplishments during the second year include: success in making durable binderless coal logs by compaction, initial success in binderless-log, underwater extrusion, improvement in the injection system and the pump-bypass scheme, advancement in the state-of-the-art of predicting the energy loss (pressure drop) along both stationary and moving capsules, improved understanding of the water absorption properties of coal logs, better control in coal log surface treatment, better understanding of the mechanism of coal log abrasion, and completion of aspects of legal research dealing with water rights, eminent domain right, and easement right on using existing oil pipelines for coal log transport. The second-year work also involved significant technology transfer activities including company seminars, involving companies in CLP research, preparation of a design/operational manual on CLP, issuance of a second newsletter, completion of a video tape on CLP, and presentation of research findings at several national meetings.
1993-01-01T00:00:00Z3-year progress reporthttps://hdl.handle.net/10355/366782023-04-20T15:20:38Z1994-01-01T00:00:00Z3-year progress report
The Capsule Pipeline Research Center is devoted to performing research in capsule pipelines so that this emerging technology can be developed for early use to transport solids including coal, grain, other agricultural products, solid wastes, etc. The mission of the first four years (1991-95) is to focus on the coal log pipeline (CLP) technology for transporting coal. In the subsequent four years (1995-99), the Center will gradually transform its mission to cover other types of capsule pipelines, both hydraulic and pneumatic, for transporting other types of cargoes. Areas of research covered by Core Program of the first three years include hydrodynamics of capsule flow, manufacturing of coal logs, automatic control of coal log pipeline, and legal research in coal pipelines. The Non-Core Program sponsored by the U.S. Department of Energy and the Electric Power Research Institute explored the economics and commercialization of CLP, and how to handle coal logs and treat CLP effluent at power plants. A total of 13 faculty members and 56 students from both the Columbia Campus and the Rolla Campus have participated in the research. Important research findings and accomplishments during the first-three years include: success in making durable binderless coal logs by compaction, success in underwater extrusion of binderless coal logs, success in compacting and extruding coal logs with less than 3 % hydrophobic binder at room temperature, improvement in the injection system and the pump-bypass scheme, advancement in the state-of-the-art of predicting the energy loss (pressure drop) along both stationary and moving capsules, demonstrated the effectiveness of using polymer for drag reduction in CLP, demonstrated the influence of zeta potential on coal log fabrication, improved understanding of the water absorption properties of coal logs, better understanding of the mechanism of coal log abrasion (wear), completed a detailed economic evaluation of the CLP technology and compared coal transportation cost by CLP to that by rail, truck and slurry pipelines, and completion of several areas of legal research. The Center also conducted important technology transfer activities including workshops, work sessions, company seminars, involvement of companies in CLP research, issuance of newsletters, completion of a video tape on CLP, and presentation of research findings at numerous national and international meetings.
1994-01-01T00:00:00Z3D city scale reconstruction using wide area motion imageryViguier, Raphaelhttps://hdl.handle.net/10355/698792023-04-20T15:20:58Z2018-01-01T00:00:00Z3D city scale reconstruction using wide area motion imagery
Viguier, Raphael
3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a field that has gained traction over the recent years. It consists in using an airborne large field of view sensor to cover a typically over a square kilometer area for each captured image. This is particularly valuable data for analysis but the amount of information is overwhelming for any human analyst. Algorithms to efficiently and automatically extract information are therefore needed and 3D reconstruction plays a critical part in it, along with detection and tracking. This dissertation work presents novel reconstruction algorithms to compute a 3D probabilistic space, a set of experiments to efficiently extract photo realistic 3D point clouds and a range of transformations for possible applications of the generated 3D data to filtering, data compression and mapping. The algorithms have been successfully tested on our own datasets provided by Transparent Sky and this thesis work also proposes methods to evaluate accuracy, completeness and photo-consistency. The generated data has been successfully used to improve detection and tracking performances, and allows data compression and extrapolation by generating synthetic images from new point of view, and data augmentation with the inferred occlusion areas.
2018-01-01T00:00:00Z3D genome structure reconstruction from chromosomal contact dataTrieu, Tuan Anhhttps://hdl.handle.net/10355/675412022-09-27T15:50:34Z2017-01-01T00:00:00Z3D genome structure reconstruction from chromosomal contact data
Trieu, Tuan Anh
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Different cell types of an organism have the same DNA sequence, but they can function differently because their difference in 3D organization allows them to express different genes and has different cellular functions. Understanding the 3D organization of the genome is the key to understand functions of the cell. Chromosome conformation capture techniques like Hi-C and TCC that can capture interactions between proximal chromosome fragments have allowed the study of 3D genome organization in high resolution and high through-put. My work focuses on developing computational methods to reconstruct 3D genome structures from Hi-C data. I presented three methods to reconstruct 3D genome and chromosome structures. The first method can build 3D genome models from soft constraints of contacts and non-contacts. This method utilizes the concept of contact and non-contact to reconstruct 3D models without translating interaction frequencies into physical distances. The translation is commonly used by other methods even though it makes a strong assumption about the relationship between interaction frequencies and physical distances. In synthetic dataset, when the relationship was known, my method performed comparably with other methods assuming the relationship. This shows the potential of my method for real Hi-C datasets where the relationship is unknown. The limitation of the method is that it has parameters requiring manual adjustment. I developed the second method to reconstruct 3D genome models. This method utilizes a commonly used function to translate interaction frequencies to physical distances to build 3D models. I proposed a novel way to derive soft constraints to handle inconsistency in the data and to make the method robust. Building 3D models at high resolution is a more challenging problem as the number of constraints is small and the feasible space is larger. I introduced a third method to build 3D chromosome models at high resolution. The method reconstructs models at low resolution and then uses them to guide the reconstruction of models at high resolution. The last part of my work is the development of a comprehensive tool with intuitive graphic user interface to analyze Hi-C data, reconstruct and analyze 3D models.
2017-01-01T00:00:00Z