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Institution

Jodhpur National University

EducationJodhpur, India
About: Jodhpur National University is a education organization based out in Jodhpur, India. It is known for research contribution in the topics: Transdermal & Self-healing hydrogels. The organization has 160 authors who have published 216 publications receiving 2381 citations.


Papers
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Proceedings ArticleDOI
01 Sep 2015
TL;DR: This work reviewed selective approaches for fingerprint enhancement, classification and matching in dry and wet fingerprint verification system.
Abstract: Dry and wet fingerprint degrades the performance of fingerprint verification system, There are various issues in dry and wet fingerprint verification, like fingerprint skin quality, missing features and minimizing the matching efforts. Therefore, it is important for a dry and wet fingerprint recognition system to enhance, classify and match the fingerprint. In this work, we reviewed selective approaches for fingerprint enhancement, classification and matching.

6 citations

Journal ArticleDOI
TL;DR: A first case of generalized hypercementosis with multiple missing teeth in a young Saudi female is reported, and it is decisive that the general dental practitioner is aware of etiological factors and is able to distinguish presentation due to a local cause from that of a systemic disease process.
Abstract: Hypercementosis is a nonneoplastic thickening of the cementum. It may be restrained to the apex of the root, on one side of it, or involve it entirely. Hypercementosis is coupled with a number of etiological factors, which may be local or systemic in nature. It is decisive that the general dental practitioner is aware of these factors and is able to distinguish presentation due to a local cause from that of a systemic disease process. We report a first case of generalized hypercementosis with multiple missing teeth in a young Saudi female.

6 citations

Journal ArticleDOI
TL;DR: The performance and the operation and mitigation process of power quality problems by using UPQC and DPFC are compared and the performance is observed in Matlab/Simulink.
Abstract: The advancement in the technology, in the last decade has seen drastically increase in the electrical loads and multiplying in numbers of complexity of the devices that has low quality of distribution. A Power quality problem is an occurrence manifested as a nonstandard voltage, current or frequency that results in a failure or misoperation of end user equipment. This paper presents general problems of power quality such as sags and swells. In this paper, we observed the performance and also compared the operation and mitigation process of power quality problems by using UPQC and DPFC. The performance of these systems is observed in Matlab/Simulink.

5 citations

Journal ArticleDOI
TL;DR: A case of restoration of a single highly darkened anterior tooth with a feldspathic porcelain veneer with satisfactory esthetic outcomes and preserves sound tooth structure.
Abstract: Porcelain Laminate Veneer is used widely throughout the world for esthetic correction for discolored and damaged tooth structures. Esthetic treatment of a single darkened tooth represents a great challenge to the dental practitioner. The properties of dental ceramic - colour stability, mechanical strength, clinical longevity, esthetic appearance and compatibility with periodontal tissues make this material a good choice for such treatment. A case of restoration of a single highly darkened anterior tooth with a feldspathic porcelain veneer. Resolution involved preparation of the dental structure. Conservative use of porcelain laminate veneers provides satisfactory esthetic outcomes and preserves sound tooth structure. The patient was very satisfied with the result and had no complaints in the follow-ups.

5 citations

Proceedings ArticleDOI
09 May 2014
TL;DR: Using LS-SVM as a classifier, the QRS-complexes have been identified with an accuracy of 99.51 % with 0.49% of false negative (FN) and 0.25% offalse positive (FP) respectively.
Abstract: The Electrocardiogram (ECG) is a sensitive diagnostic tool that is used to detect various cardio-vascular diseases by measuring and recording the electrical activity of the heart in exquisite detail. Identification of QRS-complexes in ECGs has been a challenging task ever since the beginning of automated ECG analysis. The identification of QRS-complexes using LS-SVM as classifier has been presented in the paper. Since slope of the ECG is much more in QRS region as compared to other region, it has been used as an important discriminating feature. Using LS-SVM as a classifier, the QRS-complexes have been identified with an accuracy of 99.51 % with 0.49% of false negative (FN) and 0.25% of false positive (FP) respectively. The QRS-complexes have also been delineated with the tolerance limit as specified by CSE.

5 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20225
20215
20201
20192
20188