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Kulkarni, Nilesh
- Fingerprint Image Quality and Prediction of Matching Performance
Abstract Views :148 |
PDF Views:3
Authors
Affiliations
1 Vishvakarma Institute of Information Technology, Pune, IN
2 Public Company in White Plains, NY, US
3 Electrical and Computer Engineering Department at San Diego State University, San Diego, US
4 Clarkson University, NY, US
1 Vishvakarma Institute of Information Technology, Pune, IN
2 Public Company in White Plains, NY, US
3 Electrical and Computer Engineering Department at San Diego State University, San Diego, US
4 Clarkson University, NY, US
Source
Digital Image Processing, Vol 1, No 3 (2009), Pagination: 108-112Abstract
Due to their high reliability, fingerprints have been extensively used as a biometric identifier. The performance of an automatic fingerprint authentication system relies heavily on the fingerprint image quality as seen in several studies. In this work, we present a new method to quantify fingerprint image quality which is relevant to matcher performance. The ultimate goal of this research is to determine and overcome the underlying causes of the poor match. Newly developed wavelet features and previously developed spatial features, as inputs to a fuzzy c-means classifier, are used predict matcher performance. Results are obtained for two different matchers, namely NFIS bozorth3 and Verifinger (Neurotechnologija), for two different optical sensors,Crossmatch Verifier 300 and Secugen Hamster III.
Keywords
Fingerprints, Image Quality, Fingerprint Matchers, Performance Prediction, Fuzzy Classifier, Kullback-leibler Distances, Principal Component Analysis, Energy Distribution Analysis.
- Spectro-Temporal EEG Modulation Energy based Diagnosis of Mild Alzheimer’s Disease
Abstract Views :178 |
PDF Views:0
Authors
Source
Digital Signal Processing, Vol 10, No 6 (2018), Pagination: 105-108Abstract
Alzheimer disease is the most common and fastest growing cognitive diseases in the United States. Developments of key biomarkers are challenging issues for diagnosis of Alzheimer disease and its progression. Previous research studies have highlighted the key use of EEG signals in diagnosis of several neurodegenerative disorders such as Alzheimer’s, Epilepsy and many more. In present paper, EEG spectro-temporal modulation energy approach is presented for diagnosis of Alzheimer’s disease. Firstly, the multi-channel EEG signal is separated into five bands: delta, theta, alpha, beta and gamma waves. Hilbert transformation is used for computing the temporal amplitude envelope of each band. The rate of modulation of each side band of each EEG signal is measured using modulation energy. These features are computed for 11 referential EEG signals as well as seven bipolar signals. For distinguishing the signal between two groups i.e. healthy control and Alzheimer subjected; Support vector machine classifier is used giving 95.71% accuracy on current database used.
Keywords
EEG, Alzheimer ’s Disease, EEG Spectro-Temporal Modulation Energy, Classifier, Support Vector Machine.- Insight on Development and Evaluation of Nanosponge Drug Delivery for Improved Therapeutic Effectiveness
Abstract Views :67 |
PDF Views:0
Authors
Affiliations
1 Department of Pharmaceutics, PES Modern College of Pharmacy (For Ladies), Moshi, Pune, Maharashtra, India. Affiliated to Savitribai Phule Pune University, Pune, IN
1 Department of Pharmaceutics, PES Modern College of Pharmacy (For Ladies), Moshi, Pune, Maharashtra, India. Affiliated to Savitribai Phule Pune University, Pune, IN
Source
Asian Journal of Pharmacy and Technology, Vol 12, No 2 (2022), Pagination: 129-135Abstract
Nanosponges are the recent advances in nanotechnology. Nanosponge delivery system was originally developed for topical drug delivery. Nowadays it can also be used for oral delivery of drugs using water soluble and bio erodible polymers. Nanosponges are porous structures with a size of about a virus (average diameter below 1μm). Due to small size and porous nature; nanosponges can bind to poorly soluble drugs and improves their bioavailability. These nanosponges can circulate within body and interact with specific target site. At target site start releasing the drug in a controlled manner. Various techniques are reported for the preparation of Nanosponges as melt method, solvent diffusion method, solvent method, ultrasound assisted method and sonication etc. Nanosponges are the target specific drug delivery which has lesser side effects. Major advantage of nanosponges as it improves solubility of poorly soluble drug and exhibits higher drug loading as compared to other nanocarriers. This review gives the highlights about the formulation methods, excipients used, evaluation of nanosponges and its benefits to overcome the undesirable properties of drug into desirable.Keywords
Controlled Delivery, Small Size, Improve Solubility, Nanosponge, HydrogelReferences
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