Error estimation of signals by Euler-Nörlund operators

Vandana 장전수학회 2019 Proceedings of the Jangjeon mathematical society Vol.22 No.2

Mainly speaking, signals are treated as functions of one variable and images are represented by functions of two variables. Positive approximation processes play an important role in Approximation Theory and appear in a very natural way dealing with approximation of continuous functions, especially one, which requires further qualitative properties such as monotonicity, convexity and shape preservation and so on. Analysis of signals or time functions is of great importance, because it conveys information or attributes of some phenomenon. The engineers and scientists use properties of Fourier approximation for designing digital lters. In this paper, a new estimate for the error in approximation of a signal (function) by Euler-Norlund operator of its Fourier series has been determined. Some corollaries have also been deduced from our main theorem and hence some results become particular cases in this direction.

Multi class disorder detection of magnetic resonance brain images using composite features and neural network

Vandana V. Kale,Satish T. Hamde,Raghunath S. Holambe 대한의용생체공학회 2019 Biomedical Engineering Letters (BMEL) Vol.9 No.2

Brain disorder recognition has becoming a promising area of study. In reality, some disorders share similar features andsigns, making the task of diagnosis and treatment challenging. This paper presents a rigorous and robust computer aideddiagnosis system for the detection of multiple brain abnormalities which can assist physicians in the diagnosis and treatmentof brain diseases. In this system, we used energy of wavelet sub bands, textural features of gray level co-occurrence matrixand intensity feature of MR brain images. These features are ranked using Wilcoxon test. The composite features are classified using back propagation neural network. Bayesian regulation is adopted to fi nd the optimal weights of neural network. The experimentation is carried out on datasets DS-90 and DS-310 of Harvard Medical School. To enhance the generalizationcapability of the network, fi vefold stratifi ed cross validation technique is used. The proposed system yields multi classdisease classifi cation accuracy of 100% in diff erentiating 90 MR brain images into 18 classes and 97.81% in diff erentiating310 MR brain images into 6 classes. The experimental results reveal that the composite features along with BPNN classifier create a competent and reliable system for the identifi cation of multiple brain disorders which can be used in clinicalapplications. The Wilcoxon test outcome demonstrates that standard deviation feature along with energies of approximateand vertical sub bands of level 7 contribute the most in achieving enhanced multi class classifi cation performance results.

Hypercalcemia, multiple osteolytic lesions, and acute renal failure: a rare presentation of B-cell acute lymphoblastic leukemia

Vandana Puri,Pooja Sharma,Sundaram Gopalakrishnan,Meera Sikka,Rajnish Avasthi 대한혈액학회 2017 Blood Research Vol.52 No.1

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An Empirical Study of Writing Effective User Stories

Vandana Gaikwad,Prasanna Joeg 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.11

Software requirements should be accurately captured in the form of user stories so that development teams are able to meet customer expectations for the software. This study investigates the various challenges in capturing requirements of the agile scrum methodology and proposes some improvements. A user story writing workshop was conducted based on a standard set of business requirements. The resulting user stories were analyzed for correctness and problem areas were identified. Then a separate industry survey was conducted to confirm that the problem areas found in this workshop are indeed the common problem areas for industry practitioners. A set of improvements were then identified to address the problem areas. A second workshop was then conducted to check whether the improvements actually result in better user story writing. The results of the second workshop suggest that the improvements were quite effective in resolving most of the problem areas. They can thus be adopted by industry practitioners as best practices.

A Survey on Ontology based Web Usage Mining

Vandana M. Patil,J. B. Patil 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12

The exponential increase in information, users and number of Websites on WWW has given rise to number of challenges. The most important challenge is the effective and systematic management of this massive Web data. For Web users, it is very difficult to access relevant information quickly and efficiently. And for Web site owners, it is very difficult to satisfy their users’ information needs effectively. Web Usage Mining has been used to deal with aforesaid issues. The Web Usage Mining techniques are solely based on knowledge acquired through the analysis of the users’ navigational behavior. Hence, quality of discovered patterns is low. Recent studies show that, semantically enriched Web Usage Mining enhances the quality of discovered patterns. The semantically enriched Web is called as Semantic Web, and this new form of Web Usage mining is called as Semantic Web Usage Mining. It is also called as Ontology based Web Usage Mining, as Ontologies act as backbone for conceptual description of semantic knowledge in Semantic Web. In this paper, we have presented brief overview of conventional Web usage mining and performed an extensive survey of research work done in ontology based web usage mining.

Investigation of Empty Space in Nanoscale Double Gate (ESDG) MOSFET for High Speed Digital Circuit Applications

Vandana Kumari,Manoj Saxena,R. S. Gupta,Mridula Gupta 대한전자공학회 2013 Journal of semiconductor technology and science Vol.13 No.2

The impact of Empty Space layer in the channel region of a Double Gate (i.e. ESDG) MOSFET has been studied, by monitoring the DC, RF as well as the digital performance of the device using ATLAS 3D device simulator. The influence of temperature variation on different devices, i.e. Double Gate incorporating Empty Space (ESDG), Empty Space in Silicon (ESS), Double Gate (DG) and Bulk MOSFET has also been studied. The electrical performance of scaled ESDG MOSFET shows high immunity against Short Channel Effects (SCEs) and temperature variations. The present work also includes the linearity performance study in terms of VIP2 and VIP3. The proper bias point to get the higher linearity along with the higher transconductance and device gain has also been discussed.

Differential Histone Acetylation in Sub-Regions of Bed Nucleus of the Stria Terminalis Underlies Fear Consolidation and Extinction

Vandana Ranjan,Sanjay Singh,Sarfraj Ahmad Siddiqui,Sukanya Tripathi,Mohd Yahiya Khan,Anand Prakash 대한신경정신의학회 2017 PSYCHIATRY INVESTIGATION Vol.14 No.3

Objective: The hallmark of anxiety disorders is excessive fear. Previous studies have suggested that selective neural projections from Basal nucleus of stria terminalis (BNST) to amygdala and vice-versa precisely control the fear learning process. However the exact mechanism how the BNST controls fear consolidation and its extinction is largely unknown. In the present study we observed the changes in the BNST sub-regions following fear conditioning and its extinction. Methods: The change in the number of positive neurons was determined by immunohistochemistry for Acetyl H3 (Histone 3), Acetyl H4 (Histone 4), cAMP response element binding Protein (CBP) and c-fos in three sub-regions of the BNST namely the anterio-lateral BNST (STLP) and anterio-medial BNST (STMA), and lateral-ventral BNST (STLV) of rats subjected to auditory fear conditioning and extinction. Results: We found significant increase in the number of CBP, acetyl H3 and acetyl H4 positive neurons in the STMA and STLV but not in the STLP after fear conditioning. However, following fear extinction the number of CBP, acetyl H3 and acetyl H4 positive neurons increased significantly in the STLP but not in the STMA and STLV. Similar changes were observed in the number of c-fos positive neurons after fear consolidation and extinction. Conclusion: The results from this study suggest that the differential histone acetylation in the different sub-regions of the BNST following fear learning and its extinction may be responsible for changes in the neuronal activation patterns resulting in either fear or less fear.

Fixed points for $\varphi$-contraction in Menger probabilistic generalized metric spaces

Vandana Tiwari,Tanmoy Som 원광대학교 기초자연과학연구소 2017 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.14 No.4

In this paper, we establish some fixed point theorems for $\varphi$-contraction in Menger probabilistic generalized metric spaces by introducing a new type of gauge function. With this introduced guage function, we discuss several important lemmas to prove our main results. An example is given in the support of obtained results.

Efficacy and safety of the adalimumab biosimilar Exemptia as induction therapy in moderate-to-severe ulcerative colitis

Vandana Midha,Ramit Mahajan,Varun Mehta,Vikram Narang,Arshdeep Singh,Kirandeep Kaur,Ajit Sood 대한장연구학회 2018 Intestinal Research Vol.16 No.1

Background/Aims: Data on the efficacy and safety of the adalimumab biosimilar Exemptia are limited. Methods: Patients with moderate-to-severe active steroid-refractory ulcerative colitis (UC) treated at Dayanand Medical College and Hospital,India were offered cyclosporine A, biologicals or biosimilars, or surgery. A retrospective analysis was conducted on patients who were treated with the adalimumab biosimilar, Exemptia. These patients were administered an induction dosing scheduleof 160 mg Exemptia at week 0, 80 mg at week 2, and then 40 mg every other week from week 4 to 8. The clinical response andremission were assessed at week 8 using Mayo score. Results: A total of 29 patients (62.1% male; mean age, 34.9 ± 9.7 years)with moderate-to-severe steroid-refractory active UC (mean disease duration, 6.3±5.1 years; pancolitis in 9 patients [31.1%];left-sided colitis in 20 patients [68.9%]) were treated with the Exemptia induction dosing schedule. The mean Mayo score at presentation was 8.2±1.4. At week 8, clinical response was observed in 7 patients (24.1%), whereas clinical remission was observed only in 1 patient (3.5%). Among the non-responders (n=21), 4 patients required colectomy, 1 died, 1 was lost to follow-up, 10 were offered fecal microbiota transplant, 3 were administered infliximab, and 2 patients were administered cyclosporineand tacrolimus, respectively. Four patients (13.8%) developed extrapulmonary tuberculosis. Conclusions: The adalimumab biosimilar Exemptia has limited efficacy for the attainment of clinical response and remission in moderate-to-severe steroid-refractory UC, with a significant risk of acquisition or reactivation of tuberculosis in developing countries such as India.

A Two Stage Approach with ICA and Double Density Wavelet Transform for Artifacts Removal in Multichannel EEG Signals

Vandana Roy,Shailja Shukla 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.4

Presence of artifacts in electroencephalographs (EEG) is major hurdles for the precise analysis of spectral behavior. For suppression of ocular artifact in EEG this paper proposes a component based Independent Component Analysis (ICA) model. It involves the generating a set of individual components of given signal followed by rejection of unwanted artifacts. Further this paper presents a novel method with combination of ICA, information sharing and double density wavelet transform to reject the artifacts from the signal. The Independent Component Analysis (ICA) here is used to segment artifact peaks in the signal. Then the Discrete Wavelet Transform is applied for multi-level transfer of signal data until the reception of significant result. The Wavelet ICA suppression not only removes artifacts but also preserves the spectral and coherence properties of brain signals.