246 research outputs found
Search by Image: Deep Learning Based Image Visual Feature Extraction
No full textIn recent years, the expansion of the Internet has brought an explosion of visual information, including social media, medical photographs, and digital history. This massive amount of visual content generation and sharing presents new challenges, especially when searching for similar information in databases —— Content-Based Image Retrieval (CBIR). Feature extraction is the foundation of image retrieval, making research into obtaining concrete features and representations of image content a vital concern. In the feature extraction module, We first pre-process the target image and input it into a CNN to obtain feature maps for different channels. These feature maps can be aggregated into compact and global uniform descriptors by pooling. Then these global descriptors are further dimensionalised and normalized by whitening methods to obtain image feature vectors that are easy to compute and compare. In this process, the accuracy of the retrieval depends on how accurately the final feature vectors represent the meaning expressed by the target image. Therefore, various CNN network structures, pooling and whitening methods are proposed to get more concrete feature vectors.In this thesis, our study (1) fine tunes the pre-trained CNNs, (2) optimizes the application of second-order attention information in feature map, (3) applies and compares popular feature enhancement methods in both aggregating and whitening, (4) explores how to combine all strengths, and (5) propose a new model \textit{ResNet-SOI}, which achieves 53.4(M) and 59.2(M) mAP on the challenging benchmark \textit{ROxford5k+1M} and\textit{ RParis6k+1M}, and outperforms the state-of-art methods. Our prototype GUI is available on GitHub (https://github.com/yanan-huu/Image-Search-Engine-for-Historical-Research).Electrical Engineering | Circuits and System
Wind turbine blade trailing edge crack detection based on airfoil aerodynamic noise: An experimental study
Get PDFIn recent years, with the development of the wind power industry and the increase in the number of wind turbines, the condition monitoring of blades and the detection of damage are increasingly important. In this work, a new non-contact damage-detection approach is experimentally investigated based on the measurement of airfoil aerodynamic noise. A NACA 0018 airfoil with chord of 200 mm with different trailing edge crack sizes, 0.2, 0.5, 1.0 and 2.0 mm, is investigated. Experiments are conducted at different mean flow velocities, inflow turbulence intensities and angles of attack. Far-field noise scattered from the airfoil is measured by means of a microphone array. The spectral differences of sound pressure level between the damaged cases and the baseline (without any damage) are compared. As expected, at small angles of attack, with clean or low turbulence intensities (e.g. ∼ 4% in the experiment) flow, by increasing the size of the crack, tonal noise appears at trailing-edge thickness-based Strouhal number,Sth , approximatively equal to 0.1. However, at higher angles of attack (e.g. ± 10° and ± 15°) or under conditions of high turbulence intensity (e.g. ∼ 7%), the amplitude of the tonal peak diminishes suggesting that complementary measurements or longer acquisition time to remove inflow turbulence effects are needed to monitor trailing edge cracks.Wind Energ
Modeling and calculation of the specific absorption rate for multi-antenna mobile devices
Get PDFWith the fast development of portable wireless devices, more and more communication and entertainment functions are featured in cell phones and other mobile devices, many of which require the integration of multiple transmitting/receiving antennas into the limited space of the device. Since each radio antenna exposes the user to some level of electromagnetic radiation, if several radios are operating concurrently, the total exposure could be cumulative, which would become a great concern. To quantify the human exposure to the RF radiation, the specific absorption rate (SAR) is introduced as a measure. Regulatory agencies have standards limiting the maximum SAR to ensure safety.
In order to comply with the regulations, the SAR induced in the human head and body should be evaluated by experimental measurement or numerical simulation. When there are multiple transmitting antennas, the measurement or the simulation could take a very long time due to the fact that each phase combination needs to be taken into account. Thus a fast method to evaluate SAR is desirable.
In this work, we establish various SAR models to address this problem. We investigate the accuracy and parameter dependency of the SAR models, explore their applicability in the millimeter-wave regime, which could become the mainstream frequency band in the future, and utilize them in a fast SAR evaluation scheme.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01The student, Yanan Liu, accepted the attached license on 2017-12-15 at 10:34.The student, Yanan Liu, submitted this Thesis for approval on 2017-12-15 at 10:40.This Thesis was approved for publication on 2017-12-15 at 11:12.DSpace SAF Submission Ingestion Package generated from Vireo submission #11995 on 2018-03-13 at 10:38:30Made available in DSpace on 2018-03-13T17:35:58Z (GMT). No. of bitstreams: 2
LIU-THESIS-2017.pdf: 3794021 bytes, checksum: 71512be630d6a65bf3e2fdc1cb9e2bc0 (MD5)
LICENSE.txt: 4206 bytes, checksum: a6f55842350ebd650e28639852bfee69 (MD5)
Previous issue date: 2017-12-15Embargo set by: Seth Robbins for item 105510
Lift date: 2020-03-13T17:36:05Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 105510 on 2020-03-14T09:15:31Z
Developing a data-driven model for dynamic reservoir operation using a combined hidden Markov-decision tree and classification tree algorithms
Get PDFReservoir operations are faced with greater challenges than before due to growing water demands and climate change, and thus understanding and improvement of reservoir operations are critical. This study extends the hidden-Markov-decision tree (HM-DT) model developed by Zhao and Cai (2020) and proposes a data-driven reservoir operation model (DROM). The HM-DT model is first applied to individual reservoirs to derive sets of representative operation modules. Then a module classification model based on the Classification and Regression-tree algorithm is developed to determine which module to use for a day. DROM combines the derived operation modules and the module classification model to realize daily release prediction. DROM is tested with 25 reservoirs operated by USBR in north Great Plains regions, and it is shown that DROM can achieve acceptable accuracy in simulating historical releases (NSE > 0.4) and predicting future releases (NSE > 0.2) for 23 reservoirs. Compared with existing data-driven models, DROM shows several advantages including easily satisfied data requirements, transparent model structure, and broad applicability to various reservoirs. Especially, DROM can simulate the dynamic operation patterns through choosing the modules, while other previous models can only derive static operation rules. DROM can be used to better understand real-world reservoir operation behaviors and to explore the improvement of operation via combining with optimization models.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-08-01The student, Yanan Chen, accepted the attached license on 2021-07-08 at 14:07.The student, Yanan Chen, submitted this Thesis for approval on 2021-07-08 at 14:18.This Thesis was approved for publication on 2021-07-13 at 11:29.DSpace SAF Submission Ingestion Package generated from Vireo submission #16805 on 2022-01-12 at 12:54:01Made available in DSpace on 2022-01-12T22:35:06Z (GMT). No. of bitstreams: 2
CHEN-THESIS-2021.pdf: 7813556 bytes, checksum: 6ca19c69308038836ab76c8666663858 (MD5)
LICENSE.txt: 4207 bytes, checksum: f64ac30279cbb29806f4b2aa22f52d19 (MD5)
Previous issue date: 2021-07-13Embargo set by: Seth Robbins for item 121085
Lift date: 2024-01-12T22:35:30Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Combining machine learning and human judgment in author disambiguation
Get PDFABSTRACT Author disambiguation in digital libraries becomes increasingly difficult as the number of publications and consequently the number of ambiguous author names keep growing. The fully automatic author disambiguation approach could not give satisfactory results due to the lack of signals in many cases. Furthermore, human judgment on the basis of automatic algorithms is also not suitable because the automatically disambiguated results are often mixed and not understandable for humans. In this paper, we propose a Labeling Oriented Author Disambiguation approach, called LOAD, to combine machine learning and human judgment together in author disambiguation. LOAD exploits a framework which consists of high precision clustering, high recall clustering, and top dissimilar clusters selection and ranking. In the framework, supervised learning algorithms are used to train the similarity functions between publications and a clustering algorithm is further applied to generate clusters. To validate the effectiveness and efficiency of the proposed LOAD approach, comprehensive experiments are conducted. Comparing to conventional author disambiguation algorithms, the LOAD yields much more accurate results to assist human labeling. Further experiments show that the LOAD approach can save labeling time dramatically
Integrating single-cell and bulk sequencing data to identify glycosylation-based genes in non-alcoholic fatty liver disease-associated hepatocellular carcinoma
No full textTitle: "Integrating Single-Cell and Bulk Sequencing Data to Identify Glycosylation-Based Genes in Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma"Author: Yanan GaoJournal: PeerJManuscript Number: 88482These files are supplementary to my research article submitted to PeerJ (Manuscript No. 88482), titled "Integrating Single-Cell and Bulk Sequencing Data to Identify Glycosylation-Based Genes in Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma". The study aims to identify glycosylation-related genes in hepatocellular carcinoma associated with non-alcoholic fatty liver disease through the analysis of both single-cell and bulk sequencing data.The included files encompass Figures 1-10 and Supplementary Figures 1-6, provided in Adobe Illustrator (AI) and Tagged Image File Format (TIF) to ensure high-quality representation. These figures illustrate our key experimental results and analyses, essential for understanding the findings and conclusions of the study.These materials are intended to assist researchers in the field of hepatocellular carcinoma and non-alcoholic fatty liver disease. When using or citing these files, please adhere to proper academic standards and cite the corresponding PeerJ publication.Keywords: Non-Alcoholic Fatty Liver Disease, Hepatocellular Carcinoma, Single-Cell Sequencing, Bulk Sequencing, Glycosylation Genes</p
Hüseynbala Mirelemov'un Karabağ Temalı Eserlerinin İncelenmesi temalı eserlerinin incelenmesi
No full textYıllardır çözülemeyen Karabağ meselesi Azerbaycan’da yaşamın tüm alanlarını etkilediği gibi edebiyatta da önemli bir yeri işgal etmiştir. Bu çalışma Azerbaycan edebiyatının realist yazarlarından olan Hüseynbala Mirelemov’un Karabağ konusunda kaleme aldığı eserlerle ilgili hazırlanmıştır.Hüseynbala Mirelemov 25 Haziran 1945 yılında doğmuştur. Yazarın eserleri arasında Karabağ teması önemli yere sahip olduğundan tez, bu konuyu işleyen eserlerin incelenmesiyle sınırlandırılmıştır. Yazar Karabağ konusunu işleyen Utanç, Kurşunlanmış Heykellerin Çığlığı, Yanan Kar adlı üç roman ve Vicdanın Cezası adlı bir hikâye kaleme almıştır. Utanç ve Kurşunlanmış Heykellerin Çığlığı romanları Türkçe’ye de tercüme edilmiştir. Adı geçen eserlerde Karabağ meselesi çeşitli yönleriyle aktarıldığından çalışmamızda eserler hem yapı, hem de konu açısından incelenmiştir.Tez Karabağ’ın kısa tarihinin anlatımıyla başlamıştır. Daha sonra Hüseynbala Mirelemov’un hayatından, edebi kişiliğinden ve eserlerinden bahsedilmiştir. Bunun ardından ise tezde Utanç, Kurşunlanmış Heykellerin Çığlığı, Yanan Kar ve Vicdanın Cezası adlı eserlerinin yapısı ve her eserde Karabağ temasının nasıl işlendiği incelenmiştir. Sonuç bölümünde ise vardığımız sonuçlar sunulmuştur.Karabag conflict, which has been remaining unsolved for more than two decades, has significant effects on all aspects of life in Azerbaijan especially on literature. This study mainly concentrates on the works related with Karabag problem and written by Huseynbala Mirelemov who is one of the realistic writers of Azerbaijan literature.Huseynbala Mirelemov was born on 25 June 1945. Since the main path in his work is Karabag conflict, this thesis is also limited to study of the works, which are about the problem. Author has three novels, which are Utanch, Kurshunlanmish Heykellerin Chigligi, Yanan Kar and a story called Vicdanin Cezasi taking Karabag problem as a main topic. Novels called Utanch and Kurshunlanmish Heykellerin Chigligi are translated to turkish. Works mentioned above take the problem in different aspects so in this thesis novels and story by the author are studied in terms of structure and topic.The first section of thesis is the brief history of Karabag. Following section is about the life, literary personality, and works of the author. After that part, mentioned works of the author, which are Utanch, Kurshunlanmish Heykellerin Chigligi, Yanan Kar and Vicdanin Cezasi, are studied in terms of structure and how they describe the conflict. The final section is about results of the thesis
Methionine synthase 1 provides methionine for activation of the GLR3.5 Ca2+ channel and regulation of germination in Arabidopsis
No full text© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology.Seed germination is a developmental process regulated by numerous internal and external cues. Our previous studies have shown that calcium influx mediated by the Arabidopsis glutamate receptor homolog 3.5 (AtGLR3.5) modulates the expression of the ABSCISIC ACID INSENSITIVE 4 (ABI4) transcription factor during germination and that L-methionine (L-Met) activates AtGLR3.1/3.5 Ca2+ channels in guard cells. However, it is not known whether L-Met participates in regulation of germination and what cellular mechanism is responsible for Met production during germination. Here, we describe Arabidopsis methionine synthase 1 (AtMS1), which acts in the final step of Met biosynthesis, synthesizes the Met required for the activation of AtGLR3.5 Ca2+ channels whose expression is up-regulated during germination, leading to the regulation of seed germination. We show that exogenous L-Met promotes germination in an AtGRL3.5-dependent manner. We also demonstrate that L-Met directly regulates the AtGLR3.5-mediated increase in cytosolic Ca2+ level in seedlings. We provide pharmacological and genetic evidence that Met synthesized via AtMS1 acts upstream of the AtGLR3.5-mediated Ca2+ signal and regulates the expression of ABI4, a major regulator in the abscisic acid response in seeds. Overall, our results link AtMS1, L-Met, the AtGLR3.5 Ca2+ channel, Ca2+ signals, and ABI4, and shed light on the physiological role and molecular mechanism of L-Met in germination11Nsciescopu
Lost in institution: Learning to write in Midwestern urban mainstream classrooms
Get PDFHow do recent immigrant students learn to write in mainstream content area classrooms? This article considers this question in the under-investigated American Midwest contexts where schooling is being reframed by rapid changing demographics. Data for this paper come from an ethnographic case study of second language learning of a Vietnamese 9th grader in an urban school setting. Grounded in a sociocultural view of learning, the author examines (1) how the student negotiated the nature and purpose of writing among inconsistent expectations, objectives and responsibilities in mainstream, and (2) how she was lost in a lack of vision in literacy and the larger institutional environment which encouraged teachers to reward formalism over substance. The author concludes with recommendations for educators in secondary schools to explicitly link pedagogical objectives to language learners literacy needs and to embedded social values of schooling
- …
