diff --git a/1 Daily Notes/2024/9 September/2024-11-06.md b/1 Daily Notes/2024/9 September/2024-11-06.md new file mode 100644 index 00000000..11e3f5da --- /dev/null +++ b/1 Daily Notes/2024/9 September/2024-11-06.md @@ -0,0 +1,52 @@ +--- +date: <% tp.file.title %> +tags: +--- +# Yesterday | Tomorrow + << [[1 Daily Notes/2024/11 November/<%*if (tp.date.weekday("YYYY-MM-DD", 1, tp.file.title, "YYYY-MM-DD") == tp.file.title) { tR += tp.date.now("YYYY-MM-DD", -3, tp.file.title, "YYYY-MM-DD"); } else { tR += tp.date.now("YYYY-MM-DD", -1, tp.file.title, "YYYY-MM-DD");} %>]] | [[1 Daily Notes/2024/11 November/<%*if (tp.date.weekday("YYYY-MM-DD", 5, tp.file.title, "YYYY-MM-DD") == tp.file.title) { tR += tp.date.now("YYYY-MM-DD", +3, tp.file.title, "YYYY-MM-DD"); } else { tR += tp.date.now("YYYY-MM-DD", +1, tp.file.title, "YYYY-MM-DD");} %> ]] >> +# This Week's Weekly Note +[[ Weekly Note <%*if (tp.date.weekday("YYYY-MM-DD", 3, tp.file.title, "YYYY-MM-DD") >= tp.file.title) {tR += tp.date.weekday("YYYY-MM-DD", -4, tp.file.title, "YYYY-MM-DD"); } else {tR += tp.date.weekday("YYYY-MM-DD", 3, tp.file.title, "YYYY-MM-DD"); } %>]] +# Tasks for today +## Due +```dataview +task +where + due <= date(this.date) + and due + and !completed + and status != "-" +sort due asc +group by file.folder +``` +## Scheduled +```dataview +task +where + scheduled + and scheduled <= date(this.date) + and !completed + and status != "-" +sort due asc +group by file.folder +``` +## Tasks in Progress +```dataview +task +where +status != "-" +and status = "/" +sort due asc +group by file.folder +``` +## Completed +```dataview +task +where + completed + and completion = date(this.date) +sort due asc +group by file.folder +``` +# Calendar Tasks +- Qualifying Exam Hell Storm [startTime:: 09:30] [endTime:: 12:00] +- Coffee [startTime:: 09:00] [endTime:: 09:45] \ No newline at end of file diff --git a/201 Metadata/My Library.bib b/201 Metadata/My Library.bib index e7bb15a7..142841a5 100644 --- a/201 Metadata/My Library.bib +++ b/201 Metadata/My Library.bib @@ -8001,6 +8001,34 @@ Insights from the Social Sciences.pdf} urldate = {2024-07-10} } +@online{Module_10_Notespdf2251NUCE, + title = {Module\_10\_{{Notes}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, + url = {https://canvas.pitt.edu/courses/280885/files/17486317?module_item_id=5008246}, + urldate = {2024-11-05}, + file = {/home/danesabo/Zotero/storage/CZ8T42B9/Module_10_Notes.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR ENGR.pdf;/home/danesabo/Zotero/storage/IWIBHHH2/17486317.html} +} + +@online{Module101Heat, + title = {Module 10.1 - {{Heat Generation}} in {{Reactor Structure}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, + url = {https://canvas.pitt.edu/courses/280885/files/17486315?module_item_id=5008243}, + urldate = {2024-11-05}, + file = {/home/danesabo/Zotero/storage/BVZ8R6Y6/Module 10.1 - Heat Generation in Reactor Structure.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR.pdf;/home/danesabo/Zotero/storage/UV4FSZ2U/17486315.html} +} + +@online{Module102Convective, + title = {Module 10.2 - {{Convective Heat Transfer}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, + url = {https://canvas.pitt.edu/courses/280885/files/17486277?module_item_id=5008244}, + urldate = {2024-11-05}, + file = {/home/danesabo/Zotero/storage/3TCIS49R/Module 10.2 - Convective Heat Transfer.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR ENGR.pdf;/home/danesabo/Zotero/storage/FM8E6E33/17486277.html} +} + +@online{Module10Reviewpdf, + title = {Module 10 {{Review}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, + url = {https://canvas.pitt.edu/courses/280885/files/17486254?module_item_id=5008245}, + urldate = {2024-11-05}, + file = {/home/danesabo/Zotero/storage/8EZ9FFD3/Module 10 Review.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR ENGR.pdf;/home/danesabo/Zotero/storage/BK36WRH6/17486254.html} +} + @online{Module81Fission, title = {Module 8.1 - {{Fission Heat Generation-1}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, url = {https://canvas.pitt.edu/courses/280885/files/17486316?module_item_id=5008211}, @@ -8036,6 +8064,27 @@ Insights from the Social Sciences.pdf} file = {/home/danesabo/Zotero/storage/JMCTU5LC/Module 8 Review-1.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR ENGR.pdf;/home/danesabo/Zotero/storage/TRAWYPDA/17486300.html} } +@online{Module91NonIdeal, + title = {Module 9.1 - {{Non-Ideal Conduction}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, + url = {https://canvas.pitt.edu/courses/280885/files/17486245?module_item_id=5008227}, + urldate = {2024-11-05}, + file = {/home/danesabo/Zotero/storage/H6TSG6E4/Module 9.1 - Non-Ideal Conduction.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR ENGR.pdf;/home/danesabo/Zotero/storage/J5LBE3WR/17486245.html} +} + +@online{Module9Class, + title = {Module 9 {{Class Notes}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, + url = {https://canvas.pitt.edu/courses/280885/files/17486302?module_item_id=5008229}, + urldate = {2024-11-05}, + file = {/home/danesabo/Zotero/storage/QMAZHA6B/Module 9 Class Notes.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR ENGR.pdf;/home/danesabo/Zotero/storage/6VTJ86YT/17486302.html} +} + +@online{Module9Reviewpdf, + title = {Module 9 {{Review}}.Pdf: 2251 {{NUCE}} 2100 {{SEC1250 FUNDAMENTALS NUCLEAR ENGR}}}, + url = {https://canvas.pitt.edu/courses/280885/files/17486314?module_item_id=5008228}, + urldate = {2024-11-05}, + file = {/home/danesabo/Zotero/storage/LMDMTSWZ/Module 9 Review.pdf 2251 NUCE 2100 SEC1250 FUNDAMENTALS NUCLEAR ENGR.pdf;/home/danesabo/Zotero/storage/XCBWNRXB/17486314.html} +} + @inproceedings{mohanS3ASecureSystem2013, title = {{{S3A}}: Secure System Simplex Architecture for Enhanced Security and Robustness of Cyber-Physical Systems}, shorttitle = {{{S3A}}}, @@ -8583,6 +8632,21 @@ Insights from the Social Sciences.pdf} file = {/home/danesabo/Zotero/storage/UGGXMX32/Nichol and Dhariwal - 2021 - Improved Denoising Diffusion Probabilistic Models.pdf;/home/danesabo/Zotero/storage/BGVIKW43/2102.html} } +@online{nicholImprovedDenoisingDiffusion2021a, + title = {Improved {{Denoising Diffusion Probabilistic Models}}}, + author = {Nichol, Alex and Dhariwal, Prafulla}, + date = {2021-02-18}, + eprint = {2102.09672}, + eprinttype = {arXiv}, + doi = {10.48550/arXiv.2102.09672}, + url = {http://arxiv.org/abs/2102.09672}, + urldate = {2024-11-06}, + abstract = {Denoising diffusion probabilistic models (DDPM) are a class of generative models which have recently been shown to produce excellent samples. We show that with a few simple modifications, DDPMs can also achieve competitive log-likelihoods while maintaining high sample quality. Additionally, we find that learning variances of the reverse diffusion process allows sampling with an order of magnitude fewer forward passes with a negligible difference in sample quality, which is important for the practical deployment of these models. We additionally use precision and recall to compare how well DDPMs and GANs cover the target distribution. Finally, we show that the sample quality and likelihood of these models scale smoothly with model capacity and training compute, making them easily scalable. We release our code at https://github.com/openai/improved-diffusion}, + pubstate = {prepublished}, + keywords = {Computer Science - Artificial Intelligence,Computer Science - Machine Learning,Statistics - Machine Learning}, + file = {/home/danesabo/Zotero/storage/PNYP438A/Nichol and Dhariwal - 2021 - Improved Denoising Diffusion Probabilistic Models.pdf;/home/danesabo/Zotero/storage/V44S65J5/2102.html} +} + @article{nicolCommonWeaknessEnumerations2023, title = {Toward {{Common Weakness Enumerations}} in {{Industrial Control Systems}}}, author = {Nicol, David M. and Shannon, Gregory and Akbar, Monika and Bishop, Matt and Chaney, Michael and Luallen, Matthew}, @@ -10524,6 +10588,17 @@ Subject\_term: Careers, Politics, Policy}, file = {/home/danesabo/Zotero/storage/IYR5VX2U/Safford and Brown - 2019 - Communicating science to policymakers six strateg.pdf;/home/danesabo/Zotero/storage/FWIZAHW9/d41586-019-02372-3.html} } +@online{sahaComprehensiveGuideConvolutional2022, + title = {A {{Comprehensive Guide}} to {{Convolutional Neural Networks}} — the {{ELI5}} Way}, + author = {Saha, Sumit}, + date = {2022-11-16T07:11:53}, + url = {https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53}, + urldate = {2024-11-06}, + abstract = {Artificial Intelligence has been witnessing a monumental growth in bridging the gap between the capabilities of humans and machines…}, + langid = {english}, + organization = {Medium} +} + @article{sahaNeuralIdentificationControl2021, title = {Neural {{Identification}} for {{Control}}}, author = {Saha, Priyabrata and Egerstedt, Magnus and Mukhopadhyay, Saibal}, @@ -11799,6 +11874,24 @@ Subject\_term: Careers, Politics, Policy}, file = {/home/danesabo/Zotero/storage/N5C6ILB6/Tao and Taur - 2005 - Robust fuzzy control for a plant with fuzzy linear.pdf;/home/danesabo/Zotero/storage/W2MJ8X2B/1392998.html} } +@article{taylorControllerDesignNonlinear2014, + title = {Controller Design for Nonlinear Systems Using the {{Contoured Robust Controller Bode}} Plot}, + author = {Taylor, J. D. and Messner, William}, + date = {2014}, + journaltitle = {International Journal of Robust and Nonlinear Control}, + volume = {24}, + number = {18}, + pages = {3196--3213}, + issn = {1099-1239}, + doi = {10.1002/rnc.3049}, + url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/rnc.3049}, + urldate = {2024-11-06}, + abstract = {SUMMARYIn this paper, we develop the Contoured Robust Controller Bode (CRCBode) plot and demonstrate its use in the design of robust controllers for nonlinear single-input single-output (SISO) systems. The CRCBode plot shows contours (level sets) of a robust performance quantity on the Bode magnitude and phase plots of the controller. An iterative frequency domain loop-shaping design approach is employed to eliminate all intersections of the controller frequency response with certain ‘forbidden regions,’ indicating that a standard SISO robust stability and performance criterion is satisfied. Nonlinearities are accounted for by avoiding the maximum forbidden regions over a structured uncertainty set consisting of linearizations of the system dynamics about several operating points. We demonstrate this technique by designing and experimentally verifying a flow-rate controller for a butterfly-valve based liquid cooling system, which is robust to valve nonlinearities and flow disturbances. Finally, we compare this compensator with one generated using an automated H ∞ synthesis algorithm and discuss the advantages of the CRCBode approach. Copyright © 2013 John Wiley \& Sons, Ltd.}, + langid = {english}, + keywords = {butterfly valves,flow-rate regulation,loop-shaping,nonlinear systems,robust control}, + file = {/home/danesabo/Zotero/storage/ZANUQYPT/Taylor and Messner - 2014 - Controller design for nonlinear systems using the Contoured Robust Controller Bode plot.pdf;/home/danesabo/Zotero/storage/V7ULZRT3/rnc.html} +} + @misc{tcolorbox, title = {Tcolorbox {{Package}}}, file = {/home/danesabo/Zotero/storage/6PN2AWJK/tcolorbox.pdf} @@ -13257,6 +13350,23 @@ Subject\_term: Careers, Politics, Policy}, file = {/home/danesabo/Zotero/storage/LQP8SU73/Zhou and Kimura - 1994 - Simultaneous identification of nominal model, parametric uncertainty and unstructured uncertainty fo.pdf;/home/danesabo/Zotero/storage/G83Q8RYC/0005109894901171.html} } +@inproceedings{zhouUNetNestedUNet2018, + title = {{{UNet}}++: {{A Nested U-Net Architecture}} for {{Medical Image Segmentation}}}, + shorttitle = {{{UNet}}++}, + booktitle = {Deep {{Learning}} in {{Medical Image Analysis}} and {{Multimodal Learning}} for {{Clinical Decision Support}}}, + author = {Zhou, Zongwei and Rahman Siddiquee, Md Mahfuzur and Tajbakhsh, Nima and Liang, Jianming}, + editor = {Stoyanov, Danail and Taylor, Zeike and Carneiro, Gustavo and Syeda-Mahmood, Tanveer and Martel, Anne and Maier-Hein, Lena and Tavares, João Manuel R.S. and Bradley, Andrew and Papa, João Paulo and Belagiannis, Vasileios and Nascimento, Jacinto C. and Lu, Zhi and Conjeti, Sailesh and Moradi, Mehdi and Greenspan, Hayit and Madabhushi, Anant}, + date = {2018}, + pages = {3--11}, + publisher = {Springer International Publishing}, + location = {Cham}, + doi = {10.1007/978-3-030-00889-5_1}, + abstract = {In this paper, we present UNet++, a new, more powerful architecture for medical image segmentation. Our architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of nested, dense skip pathways. The re-designed skip pathways aim at reducing the semantic gap between the feature maps of the encoder and decoder sub-networks. We argue that the optimizer would deal with an easier learning task when the feature maps from the decoder and encoder networks are semantically similar. We have evaluated UNet++ in comparison with U-Net and wide U-Net architectures across multiple medical image segmentation tasks: nodule segmentation in the low-dose CT scans of chest, nuclei segmentation in the microscopy images, liver segmentation in abdominal CT scans, and polyp segmentation in colonoscopy videos. Our experiments demonstrate that UNet++ with deep supervision achieves an average IoU gain of 3.9 and 3.4 points over U-Net and wide U-Net, respectively.}, + isbn = {978-3-030-00889-5}, + langid = {english}, + file = {/home/danesabo/Zotero/storage/6I8URLWJ/Zhou et al. - 2018 - UNet++ A Nested U-Net Architecture for Medical Image Segmentation.pdf} +} + @inproceedings{zimmermanMakingFormalMethods2000, title = {Making Formal Methods Practical}, booktitle = {19th {{DASC}}. 19th {{Digital Avionics Systems Conference}}. {{Proceedings}} ({{Cat}}. {{No}}.{{00CH37126}})}, diff --git a/300s School/NUCE 2100 - Fundamentals of Nuclear Engineering/2024-11-05 Homework 7.md b/300s School/NUCE 2100 - Fundamentals of Nuclear Engineering/2024-11-05 Homework 7.md index a2914180..dabc0b13 100644 --- a/300s School/NUCE 2100 - Fundamentals of Nuclear Engineering/2024-11-05 Homework 7.md +++ b/300s School/NUCE 2100 - Fundamentals of Nuclear Engineering/2024-11-05 Homework 7.md @@ -3,7 +3,7 @@ title: Homework 7 allDay: true date: 2024-11-05 endDate: 2024-11-06 -completed: false +completed: 2024-11-06T09:47:22.930-05:00 type: single --- - [ ] Homework 7 📅 2024-11-05 diff --git a/4 Qualifying Exam/1 Managing Stuff/0. QE To Do List.md b/4 Qualifying Exam/1 Managing Stuff/0. QE To Do List.md index 43158bed..cdb95970 100644 --- a/4 Qualifying Exam/1 Managing Stuff/0. QE To Do List.md +++ b/4 Qualifying Exam/1 Managing Stuff/0. QE To Do List.md @@ -9,7 +9,7 @@ - [x] What is disk uncertainty? ✅ 2024-10-17 [completion:: 2024-11-05] - [x] Why is this something difficult to sample? [completion:: 2024-11-05] - [x] Write about how to generate structured perturbations 📅 2024-10-17 ✅ 2024-10-16 -- [ ] Write story for RA +- [x] Write story for RA ✅ 2024-11-06 - [-] Reposition things on the timeline - Just thug it out. - [x] How does H_infty work? ✅ 2024-11-04