Learning Efficient Deep Feature Extraction For Mobile Ocular Biometrics

Title from PDF of title page viewed March 4, 2021Dissertation advisors: Reza Derakhshani and Cory BeardVitaIncludes bibliographical references (page 137-149)Thesis (Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2020Ocular biometrics uses physical traits from eye regions such as iris, conjunctival vasculature, and periocular for recognizing the person. Ocular biometrics has gained popularity amongst research and industry alike for its identification capabilities, security, and simplicity in the acquisition, even using a mobile phone's selfie camera. With the rapid advancement in hardware and deep learning technologies, better performances have been obtained using Convolutional Neural Networks(CNN) for feature extraction and person recognition. Most of the early works proposed using large CNNs for ocular recognition in subject-dependent evaluation, where the subjects overlap between the training and testing set. This is difficult to scale for the large population as the CNN model needs to be re-trained every time a new subject is enrolled in the database. Also, many of the proposed CNN models are large, which renders them memory intensive and computationally costly to deploy on a mobile device. In this work, we propose CNN based robust subject-independent feature extraction for ocular biometric recognition, which is memory and computation efficient. We evaluated our proposed method on various ocular biometric datasets in the subject-independent, cross-dataset, and cross-illumination protocols.Introduction -- Previous Work -- Calculating CNN Models Computational Efficiency -- Case Study of Deep Learning Models in Ocular Biometrics -- OcularNet Model -- OcularNet-v2: Self-learned ROI detection with deep features -- LOD-V: Large Ocular Biometrics Dataset in Visible Spectrum -- Conclusion and Future Work -- Appendix A. Supplementary Materials for Chapter 4 -- Appendix B. Supplementary Materials for Chapter 5 -- Appendix C.Supplementary Materials for Chapter 6 -- Appendix D. Supplementary Materials for Chapter 7xxii, 150 page

Study of crop yield distributions and crop insurance

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.Includes bibliographical references (leaves 52-53).Agriculture is a business fraught with risk. Crop production depends on climatic, geographical, biological, political, and economic factors, which introduce risks that are quantifiable given the appropriate mathematical and statistical methodologies. Accurate information about the nature of historical crop yields is an important modeling input that helps farmers, agribusinesses, and governmental bodies in managing risk and establishing the proper policies for such things as crop insurance. Explicitly or implicitly, nearly all farm decisions relate in some way to the expectation of crop yield. Historically, crop yields are assumed to be normally distributed for a statistical population and for a sample within a crop year. This thesis examines the assumption of normality of crop yields using data collected from India involving sugarcane and soybeans. The null hypothesis (crop yields are normally distributed) was tested using the Lilliefors method combined with intensive qualitative analysis of the data. Results show that in all cases considered in this thesis, crop yields are not normally distributed.(cont.) This result has important implications for managing risk involving sugarcane and soybeans grown in India. The last section of this thesis examines the impact of crop yield non normality on various insurance programs, which typically assume that all crop yields are normally distributed and that the probability of crop failure can be calculated given available data.by Narsi Reddy Gayam.M.Eng.in Logistic

PRODUCTION OF TANNASE BY ISOLATED ASPERGILLUS TERREUS UNDER SUBMERGED FERMENTATION

ABSTRAC

Simple and convenient methods for synthesis, resolution and application of aminonaphthols

1261-1273Racemic aminonaphthols are obtained in 70-95% yield by simple and straightforward condensation of benzaldehyde, 2-naphthol and 1° or 2° amines in ethanol solvent under refluxing conditions. The racemic aminonaphthols 1-(α-aminobenzyl)-2-naphthol and 1-(α-pyrrolidinylbenzyl)-2-naphthol have been resolved using l-(+)-tartaric acid. The racemic 1-(α-N-butylaminobenzyl)-2-naphthol and 1-(α-piperidylbenzyl)-2-naphthol have been resolved using R-(+)-BINOL and boric acid. The racemic (2-methoxynaphth-1-yl)benzylamine is resolved using dibenzoyl-l-(-)-tartaric acid. The readiliy accessible chiral aminonaphthols are useful for resolution of important moieties like racemic BINOL, ibuprofen and mandelic aci

Synthesis and resolution of 1-(α-pyrrolidinylbenzyl)-2-naphthol and its application in the resolution of 2,2'-dihydroxy-1,1'-binaphthyl

1-(α-Pyrrolidinylbenzyl)-2-naphthol 2 is easily prepared in 95% yield using benzaldehyde, 2-naphthol and pyrrolidine in ethanol at 78°C. It is resolved using inexpensive l-(+)-tartaric acid to obtain non-racemic samples that can be readily purified to enantiomeric purity through preparation of hydrogen bonded aggregates. The homochiral 1-(α-pyrrolidinylbenzyl)-2-naphthol 2 is useful in the resolution of racemic 2,2'-dihydroxy-1,1'-binaphthyl (BINOL) 3 via preparation of the corresponding diastereomeric borate complexes using B(OH)3

Evaluation of the concomitant use of methotrexate and curcumin on Freund's complete adjuvant-induced arthritis and hematological indices in rats

Objective : To evaluate the concomitant administration of methotrexate and curcumin for antiarthiritic activity in rats. Materials and Methods : Arthritis was induced in rats following a single subplantar injection of Freund's complete adjuvant (0.1 ml). Rats were divided into six groups of six animals each. Group I and II were control injected with saline and Freund's complete adjuvant (0.1 ml), respectively. Group III arthritic rats were treated with curcumin (100 mg/kg, i.p.) on alternate days. Group IV received methotrexate (MTX) (2 mg/kg, i.p.) once in a week. Group-V and VI were treated with MTX (1 mg/kg, i.p.) once in a week and after 30 min received curcumin (30 mg/kg and 100 mg/kg, thrice a week, i.p.) from 10 th to 45 th days, respectively. Body weight and the paw volume was measured on 9 th , 16 th , 23 rd , 30 th , 37 th , and 45 th days. Determination of complete blood cell counts, hemoglobin concentration, hematocrit, mean corpuscular volume, and mean corpuscular hemoglobin concentration was determined on the 46 th day. Results : An improvement in body weight and a significant (P < 0.05) reduction in arthritis was observed with the combination treatment as compared to the positive control. A significant improvement in the hematological profile was also observed in rats treated with curcumin and methotrexate. Conclusion : The study showed a significant anti-arthritic action and protection from hematological toxicity with the combination treatment of methotrexate and curcumin

Vanadyl(IV) acetate, a new reusable catalyst for acetylation of alcohols

Vanadyl(IV) acetate is found to be an efficient catalyst for acetylation of primary, secondary, tertiary and steroidal alcohols in the presence of acetic anhydride in quantitative yields. The catalyst is recovered quantitatively and re-used

Convenient Methods for the Synthesis of Chiral Amino Alcohols and Amines

Simple, convenient methods have been developed using readily available, easy-to-handle reagents to access a variety of chiral amino alcohols and amines, which have considerable potential for applications in asymmetric organic transformations. Scholars from this laboratory in India have made significant contributions to this field, which is the subject of the current review