Publishing is rapidly shifting to the electronic format and an explosive growth in e-journals is envisaged. ...the embargo on all e-journals seems unfair. A more direct measure would probably be an ...assessment of each individual journal by peers. ...an evaluation is available, we agree with the MCI's requirement that the journal of publication is listed in a recognised database.
Thick Film Technology based DC-DC Converter Hybrid for Space Applications Singh, Anju; Shalini, R; Kulkarni, Sujata ...
2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT),
2021-Dec.-10
Conference Proceeding
Hybrid electronic modules are always preferred over discrete versions due to smaller size, less weight, better performance and high reliability for Space applications. DC-DC Converter modules ...realized using Thick Film Technology are universally known as Hybrid converters being hybridized in order to realize miniaturized power supplies allowing ultimate power density & superior electrical & thermal performance. DC-DC Converters have multiple DC outputs for an intended input voltage range for Power distribution systems. This article details the newly developed Innovative Thick Film Process technology involving fabrication of special subassemblies & their attachment techniques for the realization of the miniature 15W DC-DC converter Hybrids. In addition to this, process qualification details for high reliability requirements for Space applications are presented. The major challenges faced during the development of 15W HMC DC-DC Converter, Thermal analysis for critical components, unique layout design in view of the best feasible production approach for miniaturization, overall Electrical Performance and EMI/EMC compatibility for Space applications are detailed in the article.
This paper discusses a method in the fraud detection interface area. The approach proposed is to use imbalanced highly skewed transactional data and a convolutional network for the detection of ...frauds. The dataset used here is the machine learning kaggle dataset for credit card fraud detection that contains highly skewed data. The evaluated features are 1 for fraud and 0 for non-fraud class. The analysis of fraud detection was an important tool in banking sectors. Nowadays, the artificial neural network has become the least successful method for credit card fraud detection. The system currently used to detect fraud is plagued by misclassifications and highly false positives. In such situations here this research paper uses the in cooperation of convolutional neural network layers in an attempt to build a model for detecting credit card fraud that gives us a high level of accuracy. The goal is to predict fraud under 300 epochs, the current approach can be classified accurately at 99.62 %.
A 45-year-old P3L3, referred to us with abdominopelvic mass for further management. Vaginal examination was suggestive of uterine mass. Magnetic resonance imaging. (MRI) of abdomen.pelvis disclosed a ...uterine mass with equivocal invasion of the fat plane with the sigmoid colon. Coelomic antigen. (CA) 125 was 120.2 U/ml. (normal range, 0-35 U/ml). On exploratory laparotomy entire pelvic cavity was filled with a mass that was seen arising from the uterus and involving the sigmoid colon. Hence, a total abdominal hysterectomy with bilateral salpingo-oopphorectomy. (TAH BSO) was performed, along with resection anastomosis of the rectosigmoid and excision of omental and pelvic peritoneal nodules. Histopathology and immunohistochemical analysis, including S100-P positivity confirmed diagnosis of a malignant peripheral nerve sheath tumor. (MPNST), with tumor deposits in the right parametrium, omentum, sigmoid colon, and pelvic peritoneum. This case is presented in view of its rarity and associated diagnostic and therapeutic implications.
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