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- Creator:
- Stoev, Stilian and Hu, Weifeng
- Description:
- Many data sets come as point patterns of the form (longitude, latitude, time, magnitude). The examples of data sets in this format includes tornado events, origins/destination of internet flows, earthquakes, terrorist attacks and etc. It is difficult to visualize the data with simple plotting. This research project studies and implements non-parametric kernel smoothing in Python as a way of visualizing the intensity of point patterns in space and time. A two-dimensional grid M with size mx, my is used to store the calculation result for the kernel smoothing of each grid points. The heat-map in Python then uses the grid to plot the resulting images on a map where the resolution is determined by mx and my. The resulting images also depend on a spatial and a temporal smoothing parameters, which control the resolution (smoothness) of the figure. The Python code is applied to visualize over 56,000 tornado landings in the continental U.S. from the period 1950 - 2014. The magnitudes of the tornado are based on Fujita scale.
- Citation to related publication:
- Hu, Weifeng. “Kernel-based Visualization of Point Patterns in Python with Application to Tornado Landing Data.” (2016). At https://www.semanticscholar.org/paper/Kernel-based-Visualization-of-Point-Patterns-in-to-Hu/0de06a6db39da54fe28f8d0cb47c0d3270f2f831
- Discipline:
- Engineering and Science
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- Creator:
- University of Michigan Transportation Research Institute, Rupp, Jonathan D., Klein, Katelyn F., and Reed, Matthew P.
- Description:
- The files include an Excel file with the x-, y-, and z- coordinates that make up the nodal coordinates for a surface model of small (5th percentle) female pelvis geometry, the finite element model (.k file) that represents the nodal coordinates, and two surface files that represent the geometry (.obj and .ply).
- Citation to related publication:
- Katelyn F. Klein, Matthew P. Reed, and Jonathan D. Rupp. "Development of Geometric Specifications for the Pelvis of a Small Female Anthropomorphic Test Device." IRCOBI Conference 2016, IRC-16-79. http://www.ircobi.org/wordpress/downloads/irc16/pdf-files/79.pdf
- Discipline:
- Engineering
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- Creator:
- Skerlos, Steven J.
- Description:
- Supporting Information for research article "Life cycle comparison of environmental emissions from three disposal options for unused pharmaceutical". This spreadsheet provides the calculations and values used for this study; please refer to the manuscript and supporting information (as text) available at http://dx.doi.org/10.1021/es203987b for details about how to use this spreadsheet. We use life cycle assessment methodology to compare three disposal options for unused pharmaceuticals: (i) incineration after take-back to a pharmacy, (ii) wastewater treatment after toilet disposal, and (iii) landfilling or incineration after trash disposal. For each option, emissions of active pharmaceutical ingredients to the environment (API emissions) are estimated along with nine other types of emissions to air and water (non-API emissions). Under a scenario with 50% take-back to a pharmacy and 50% trash disposal, current API emissions are expected to be reduced by 93%. This is within 6% of a 100% trash disposal scenario, which achieves an 88% reduction. The 50% take-back scenario achieves a modest reduction in API emissions over a 100% trash scenario while increasing most non-API emissions by over 300%. If the 50% of unused pharmaceuticals not taken-back are toileted instead of trashed, all emissions increase relative to 100% trash disposal. Evidence suggests that 50% participation in take-back programs could be an upper bound. As a result, we recommend trash disposal for unused pharmaceuticals. A 100% trash disposal program would have similar API emissions to a take-back program with 50% participation, while also having significantly lower non-API emissions, lower financial costs, higher convenience, and higher compliance rates.
- Citation to related publication:
- Cook, Sherri M., Bryan J. VanDuinen, Nancy G. Love, and Steven J. Skerlos. “Life Cycle Comparison of Environmental Emissions from Three Disposal Options for Unused Pharmaceuticals.” Environmental Science & Technology 46, no. 10 (May 15, 2012): 5535–41. https://doi.org/10.1021/es203987b
- Discipline:
- Engineering
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- Creator:
- Grosh, Karl and Li, Yizeng
- Description:
- In a sensitive cochlea, the basilar membrane response to transient excitation of any kind--normal acoustic or artificial intracochlear excitation--consists of not only a primary impulse but also a coda of delayed secondary responses with varying amplitudes but similar spectral content around the characteristic frequency of the measurement location. The coda, sometimes referred to as echoes or ringing, has been described as a form of local, short term memory which may influence the ability of the auditory system to detect gaps in an acoustic stimulus such as speech. Depending on the individual cochlea, the temporal gap between the primary impulse and the following coda ranges from once to thrice the group delay of the primary impulse (the group delay of the primary impulse is on the order of a few hundred microseconds). The coda is physiologically vulnerable, disappearing when the cochlea is compromised even slightly. The multicomponent sensitive response is not yet completely understood. We use a physiologically-based, mathematical model to investigate (i) the generation of the primary impulse response and the dependence of the group delay on the various stimulation methods, (ii) the effect of spatial perturbations in the properties of mechanically sensitive ion channels on the generation and separation of delayed secondary responses. The model suggests that the presence of the secondary responses depends on the wavenumber content of a perturbation and the activity level of the cochlea. In addition, the model shows that the varying temporal gaps between adjacent coda seen in experiments depend on the individual profiles of perturbations. Implications for non-invasive cochlear diagnosis are also discussed.
- Citation to related publication:
- Li, Yizeng, and Karl Grosh. “The Coda of the Transient Response in a Sensitive Cochlea: A Computational Modeling Study.” PLOS Computational Biology 12, no. 7 (July 5, 2016): e1005015. https://doi.org/10.1371/journal.pcbi.1005015
- Discipline:
- Engineering and Health Sciences
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- Creator:
- Yao, Mengqi, Mathieu, Johanna L., Hiskens, Ian A., Molzahn, Daniel K., Koorehdavoudi, Kasra , and Roy, Sandip
- Description:
- The files include all the published paper and presentation source codes. Please install Matpower before running the code. The Matpower version is 5.1, which can be found in https://matpower.org/download/ Talks, papers, and poster in Deep Blue: http://hdl.handle.net/2027.42/150104
- Keyword:
- Demand response, Optimal power flow, Power system voltage stability, and Power system small signal stability L
- Citation to related publication:
- Yao, M., Molzahn, D. K., & Mathieu, J. L. (2019). An Optimal Power-Flow Approach to Improve Power System Voltage Stability Using Demand Response. IEEE Transactions on Control of Network Systems, 6(3), 1015–1025. https://doi.org/10.1109/TCNS.2019.2910455, Yao, M., Mathieu, J. L., & Molzahn, D. K. (2017). Using demand response to improve power system voltage stability margins. 2017 IEEE Manchester PowerTech, 1–6. https://doi.org/10.1109/PTC.2017.7980798 , Koorehdavoudi, K., Yao, M., & Mathieu, J. (2017). Using Demand Response to Shape the Fast Dynamics of the Bulk Power Network. https://www.semanticscholar.org/paper/Using-Demand-Response-to-Shape-the-Fast-Dynamics-of-Koorehdavoudi-Yao/6799c161744c29e7603e3601daa284ecc84788a8, Yao, M., Hiskens, I. A., & Mathieu, J. L. (2018). Improving Power System Voltage Stability by Using Demand Response to Maximize the Distance to the Closest Saddle-Node Bifurcation. 2018 IEEE Conference on Decision and Control (CDC), 2390–2395. https://doi.org/10.1109/CDC.2018.8619091 , and Yao, M., Molzahn, D. K., & Mathieu, J. L. (2017). The impact of load models in an algorithm for improving voltage stability via demand response. 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 149–156. https://doi.org/10.1109/ALLERTON.2017.8262731
- Discipline:
- Engineering
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- Creator:
- Hall, Ryan J. and Larson, Ronald G.
- Description:
- This is data is a large assortment of over 50 1,4-polybutadiene star-linear blends that can be used for assessing and developing predictive models. The data are presented in CSV files.
- Keyword:
- polymers, rheology, star-linear polymer blends, and shear rheology
- Citation to related publication:
- Hall, R., Desai, P. S., Kang, B.-G., Huang, Q., Lee, S., Chang, T., Venerus, D. C., Mays, J., Ntetsikas, K., Polymeropoulos, G., Hadjichristidis, N., & Larson, R. G. (2019). Assessing the Range of Validity of Current Tube Models through Analysis of a Comprehensive Set of Star–Linear 1,4-Polybutadiene Polymer Blends. Macromolecules, 52(20), 7831–7846. https://doi.org/10.1021/acs.macromol.9b00642
- Discipline:
- Science and Engineering
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- Creator:
- Moniri, Saman and Shahani, Ashwin J.
- Description:
- The data is comprised of 20 .hdf files of the X-ray projections recorded during isothermal annealing of Zn-Mg samples, at discrete time-steps shown below for files names ending in ‘...30141’ to ‘…30161’: 30141: prior to annealing; 30142: 1 min annealing; 30143: 3 min; 30144: 5 min; 30145: 7 min; 30146: 10 min; 30147: 15 min; 30148: 20 min; 30150: 31 min; 30151: 1 hr; 30152: 2 hr; 30153: 3 hr; 30154: 4 hr; 30155: 5 hr; 30156: 6 hr; 30157:7 hr; 30158: 8 hr; 30159:9 hr; 30160: 9 hr, 10 min; 30161: 10 hr The raw data file is in .hdf format and can be reconstructed into .tiff, e.g., by using the TomoPy toolbox in Python.
- Keyword:
- Spiral eutectics
- Discipline:
- Engineering
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- Creator:
- Moniri, Saman, Bale, Hrishikesh , Volkenandt, Tobias, Wang, Yeqing, Gao, Jianrong, Lu, Tianxian, Sun, Kai, and Shahani, Ashwin J.
- Description:
- The data file contains (1) the grayscale images of the nano-tomography experiments that can be segmented into binary images and visualized to show the 3D morphology of spiral eutectics; and (2) crystallographic orientation maps of serial-sectioned sample, which can be processed in a variety of EBSD software packages.
- Keyword:
- crystallization, chirality, self-organization, and spiral eutectics
- Citation to related publication:
- Moniri, S., Bale, H., Volkenandt, T., Wang, Y., Gao, J., Lu, T., Sun, K., Ritchie, R.O., & Shahani, A.J. (23 January 2020). Multi‐Step Crystallization of Self‐Organized Spiral Eutectics. Small (1906146). https://doi.org/10.1002/smll.201906146
- Discipline:
- Engineering
-
- Creator:
- Ledva, Gregory S., Zhe, Du, Peterson, Sarah, Balzano, Laura, and Mathieu, Johanna L.
- Description:
- This is the code that resulted from NSF grant ECCS-1508943, "Inferring the behavior of distributed energy resources from incomplete measurements." The project focused on developing control, estimation, and modeling methods for residential demand response and electric distribution networks. The talks, papers, and poster in Deep Blue: http://hdl.handle.net/2027.42/149480
- Keyword:
- online learning, energy disaggregation, residential demand response, networked control, Kalman filter, and frequency regulation
- Citation to related publication:
- Ledva, Gregory S., Laura Balzano, and Johanna L. Mathieu. "Inferring the behavior of distributed energy resources with online learning." 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2015. https://doi.org/10.1109/ALLERTON.2015.7447003, Ledva, Gregory S., and Johanna L. Mathieu. "A linear approach to manage input delays while supplying frequency regulation using residential loads." 2017 American Control Conference (ACC). IEEE, 2017. https://doi.org/10.23919/ACC.2017.7963041, Ledva, Gregory S., Laura Balzano, and Johanna L. Mathieu. "Exploring Connections Between a Multiple Model Kalman Filter and Dynamic Fixed Share with Applications to Demand Response." 2018 IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2018. https://doi.org/10.1109/CCTA.2018.8511493, Ledva, Gregory S., et al. "Disaggregating Load by Type from Distribution System Measurements in Real Time." Energy Markets and Responsive Grids. Springer, New York, NY, 2018. 413-437. https://doi.org/10.1007/978-1-4939-7822-9_17, Ledva, Gregory S., Sarah Peterson, and Johanna L. Mathieu. "Benchmarking of Aggregate Residential Load Models Used for Demand Response." 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. https://doi.org/10.1109/PESGM.2018.8585847, Ledva, Gregory S., et al. "Managing communication delays and model error in demand response for frequency regulation." IEEE Transactions on Power Systems 33.2 (2018): 1299-1308. https://doi.org/10.1109/TPWRS.2017.2725834, Ledva, Gregory S., Laura Balzano, and Johanna L. Mathieu. "Real-time energy disaggregation of a distribution feeder's demand using online learning." IEEE Transactions on Power Systems 33.5 (2018): 4730-4740. https://doi.org/10.1109/TPWRS.2018.2800535, and Talks, papers, and poster in Deep Blue: http://hdl.handle.net/2027.42/149480
- Discipline:
- Engineering
-
- Creator:
- Crisp, Dakota N., Saggio, Maria L., Scott, Jared, Stacey, William C., Nakatani, Mitsuyoshi, Gliske, Stephen V., and Lin, Jack
- Description:
- This data and scripts are meant to test and show seizure differentiation based on bifurcation theory. A zip file is included which contains real and simulated seizure waveforms, Matlab scripts, and metadata. The matlab scripts allow for visual review validation and objective feature analysis. The file “README.txt” provides more detail about each individual file within the zip file. and Data citation: Crisp, D.N., Saggio, M.L., Scott, J., Stacey, W.C., Nakatani, M., Gliske, S.F., Lin, J. (2019). Epidynamics: Navigating the map of seizure dynamics - Code & Data [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/ejhy-5h41
- Keyword:
- Bifurcation, Epilepsy, Seizure, and Divergence
- Citation to related publication:
- Saggio, M.L., Crisp, D., Scott, J., Karoly, P.J., Kuhlmann, L., Nakatani, M., Murai, T., Dümpelmann, M., Schulze-Bonhage, A., Ikeda, A., Cook, M., Gliske, S.V., Lin, J., Bernard, C., Jirsa, V., Stacey, W., 2020. In pre-print. Epidynamics characterize and navigate the map of seizure dynamics. bioRxiv 2020.02.08.940072. https://doi.org/10.1101/2020.02.08.940072
- Discipline:
- Engineering, Science, and Health Sciences