INDIAN CURRENCY CLASSIFICATION AND FAKE NOTE IDENTIFICATION USING DEEP LEARNING

Currency is an unavoidable part of our day-today life. Despite the rapidly expanding utilization of master cards and additional electronic payment categories, money is considerably utilized for everyday exchanges because of its comfort. The current day monetary self-service gives birth to currency recognition, which plays a vital role in the automated banking procedure. Therefore, we propose a novel method for currency recognition that identifies Indian currency in different views on the scale. It is straightforward for a typical human being to comprehend and recognize any banknote easily, but it is undoubtedly troublesome for anyone with a visually impaired or blind individual to accomplish a similar task. Banknotes commonly have unique designs according to the denomination and can be sorted with surplus human errors in the bank. These errors lead to difficulties in evaluating and recognition. If computers or mobile apps recognize currency, it will immensely boost the precision of recognition and ameliorate people's workload efficiently. As money has a significant role in daily life for any business transactions, real-time detection and recognition of banknotes become necessary for a person, especially blind or visually impaired, or for a system that sorts the data. This work presents an Indian Currency Prediction Analysis, proposes an optimized model to recognize the currencies effectively. The Deep Learning approach of convolutional neural network model technique has improved the effective analysis of currency recognition with improved accuracy, high speed and efficiency along with complete automatic readily procedure with no human intervention and minimal complexity. The model which we worked on essentially classifies the currency note into distinct denominations like Rs10, Rs50, Rs100, Rs500, Rs2000. The currency will be recognized and classified by using image processing techniques, deep learning technique

Mapping the theories, content, and outcomes of family-based interventions for children and young people with gaming disorder: A scoping review protocol [version 1; peer review: 2 approved]

Background: Despite the growth of gaming disorders globally, evidence of the formal involvement of family in treating gaming disorders is limited. When children are affected by gaming disorder, the family may encounter challenges in managing the behavior and in the lack of information regarding the gaming disorder, resulting in inconsistent parenting, which may further exacerbate the problem. Thus, it is essential to involve the family in formal interventions. The current scoping review plans to identify the theories, content, and outcomes of family-based interventions for children and young people with gaming disorders. Methods: This scoping review will follow the Joanna Briggs Institute (JBI) methodology. The population, Concept, and Context (PCC) were used to develop the review question. The studies published in the indexed databases will be searched systematically, and the reference list of included full texts will be searched for relevant studies. Intervention studies published in English from January 2010 to December 2022 will be included. Two independent reviewers will screen the studies against eligibility criteria. The data will be extracted and presented in a tabular and narrative style. Discussion: This scoping review will help better understand content, outcomes, and theories underpinning family-based interventions for children and young people with gaming disorders. Findings will inform the stakeholders about the current topic and guide the potential research areas. Registration details: The protocol has been registered in Open Science Framework with the DOI: https://doi.org/10.17605/OSF.IO/TXWB

Is gut <i>p</i>H regulated by midgut endocrine system in larvae of <i>Rhynchophorus ferrugineus </i>Fab.?

476-480Midgut of the larvae of R. ferrugineus can be divided into anterior saccular midgut, anterior tubular midgut, posterior saccular midgut and posterior tubular midgut. pH of the contents in the anterior saccular midgut was 5-5.4. Effect of extracts of midgut epithelium on maintenance of gut pH in the final instar larvae has been studied employing an in vitro method. For this, ligated tubes of the anterior saccular midgut filled with pH indicator - buffer solutions having pH either 4 or 7 were incubated with midgut epithelial extract in a bioassay apparatus at 37°C. pH of the contents of midgut preparations changed to normal range following incubation with epithelial extract as indicated by turning of colours. No change in colour was observed in controls incubated with insect saline for 60 min. The effect is both dose and time dependent. The midgut epithelial factor regulating pH in gut lumen could be a hormone

Theoretical Studies on Polynuclear {CuII5GdIII} Clusters (n = 4, 2): Towards Understanding Their Large Magnetocaloric Effect

Density functional theory (DFT) studies on two polynuclear clusters, [(Cu5Gd4O2)-Gd-II-O-III(OMe)(4)(teaH)(4)(O2CC(CH3)(3))(2)(NO3)(4)] (1) and [Cu5Gd2(OH)(4)(Br)(2)-(H2L)(2)(H3L)(2)(NO3)(2)(OH2)(4)] (2), have been carried out to probe the origin of the large magnetocaloric effect (MCE). The magnetic exchange interactions for 1 and 2 via multiple pathways are estimated using DFT calculations. While the calculated exchange parameters deviate from previous experimental estimates obtained by fitting the magnetic data, the DFT parameter set is found to offer a striking match to the magnetic data for both complexes, highlighting the problem of overparameterization. Magnetostructural correlations for {Cu-Gd} pairs have been developed where both the Cu-O-Gd angles and Cu-O-Gd-O dihedral angles are found to significantly influence the magnitude and sign of the exchange constants. The magnitude of the MCE has been examined as a function of the exchange interactions, and clues on how the effect can be enhanced are discussed

Theoretical Studies on Polynuclear {Cu^II₅Gd^III_<i>n</i>} Clusters (<i>n</i> = 4, 2): Towards Understanding Their Large Magnetocaloric Effect

Density functional theory (DFT) studies on two polynuclear clusters, [Cu^II₅Gd^III₄O₂­(OMe)₄­(teaH)₄­(O₂CC­(CH₃)₃)₂(NO₃)₄] (<b>1</b>) and [Cu₅Gd₂­(OH)₄­(Br)₂-(H₂L)₂­(H₃L)₂­(NO₃)₂­(OH₂)₄] (<b>2</b>), have been carried out to probe the origin of the large magnetocaloric effect (MCE). The magnetic exchange interactions for <b>1</b> and <b>2</b> via multiple pathways are estimated using DFT calculations. While the calculated exchange parameters deviate from previous experimental estimates obtained by fitting the magnetic data, the DFT parameter set is found to offer a striking match to the magnetic data for both complexes, highlighting the problem of overparameterization. Magnetostructural correlations for {Cu–Gd} pairs have been developed where both the Cu–O–Gd angles and Cu–O–Gd–O dihedral angles are found to significantly influence the magnitude and sign of the exchange constants. The magnitude of the MCE has been examined as a function of the exchange interactions, and clues on how the effect can be enhanced are discussed

figure_S1 – Supplemental material for Decreased expression of cell adhesion genes in cancer stem-like cells isolated from primary oral squamous cell carcinomas

<p>Supplemental material, figure_S1 for Decreased expression of cell adhesion genes in cancer stem-like cells isolated from primary oral squamous cell carcinomas by Amrendra Mishra, Harshini Sriram, Pinal Chandarana, Vivek Tanavde, Rekha V Kumar, Ashok Gopinath, Raman Govindarajan, S. Ramaswamy and Subhashini Sadasivam in Tumor Biology</p

Supplementary_tables – Supplemental material for Decreased expression of cell adhesion genes in cancer stem-like cells isolated from primary oral squamous cell carcinomas

<p>Supplemental material, Supplementary_tables for Decreased expression of cell adhesion genes in cancer stem-like cells isolated from primary oral squamous cell carcinomas by Amrendra Mishra, Harshini Sriram, Pinal Chandarana, Vivek Tanavde, Rekha V Kumar, Ashok Gopinath, Raman Govindarajan, S. Ramaswamy and Subhashini Sadasivam in Tumor Biology</p

3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics

This volume contains contributed articles presented in the conference NCICCNDA 2018, organized by the Department of Computer Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, Karnataka (India) on 28th April 2018