Search

We report here a study on doping concentration variation on Double Gate Junctionless Field Effect Transistor. Doping concentration for the device is varied from 1010/cm³ to 1019/cm³ and their transfer characteristics and output characteristics were investigated for drain section voltages with 0.1 V, 0.5 V and 1 V. At 1 V drain voltage with doping level 1019 cm-3 a drain current of 1.7 mA has been obtained. Furthermore various electrical parameters like on current, Ion to Iorr ratio, subthreshold swing, threshold voltages are investigated. At 1019 cm and drain potential 1 V current in body is 1.9 mA. On the other hand subthreshold swing obtained at 1019 cm with a drain potential 1 V is 79 mV/Decade. The simulation is done with the help of Cogenda Visual TCAD simulator. By increasing doping concentration better control over drain current can be obtained. Better on current can be achieved at higher doping variation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Nano- & Electronic Physics is the property of Sumy State University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A resistance based analytical model for drain current of a Junction less field effect transistor with surrounded channel (SCJLFET) is reported in this paper. Surrounded channel junction less field effect transistor (SCJLFET) exhibits the merits of both double and single gate Junction less field effect transistor. This paper illustrated the uses of resistance of the channel to obtain the drain current. The model is based on the concept that channel of a JLFET is comprised of either a space charge layer or a neutral layer or an accumulation layer or combination of any two of these layers. The model development starts with the formulation of resistances of these three types of layers followed by determination of total channel resistance in the four modes of operation of a JLFET. In the sub threshold mode only depletion layer is present while in bulk current mode total resistance is obtained by parallel combination of neutral semiconductor and depletion resistances. In flat band mode only neutral semiconductor layer is present while in accumulation mode total resistance is obtained by parallel combination of accumulation and depletion resistances. The drain current model in four modes is obtained by dividing the potential difference across the channel with the corresponding resistances of the modes. It is simplified model based on resistance of the body of the device. The model developed is fully analytical in nature which reduces the computation time in designing. The model is full range model applicable in all the operation modes of surrounded channel Junction less field effect transistor (SCJLFET). The potential expression also obtained using Poisson’s equation. The analytical drain current model has been verified with the help of TCAD numerical simulation results by comparing the transfer and output characteristics of the device obtained from TCAD and the drain current model. [ABSTRACT FROM AUTHOR]

Resumo não disponível.

In the applications of computer vision and pattern recognition, facial image processing has been a great issue to focus on for providing efficient solutions for face recognition. General face recognition models can be classified into two types, geometry-based and appearance-based feature models, which deal with global feature data and facial textures respectively. Normally the performance of an adaptive face detection model increases with an increase in the number of training images. In this study, a novel model called Local Symmetrical Patterns based feature extraction model (LSP-FEM) for efficient face recognition was developed. The model incorporates Local Symmetrical Patterns (LSP) to recognize the input human facial samples. Moreover, the proposed LSP-FEM computes the symmetry of each pixel in all eight directions of facial images. For an efficient recognition process, a facial image is considered as a collection of LSP codes. Furthermore, the experimentation was carried out using benchmark datasets called the FERET dataset, Extended Yale-B dataset and Olivetti Research Laboratory (ORL) dataset images. The results show that the accuracy rate of face recognition is higher than that of the existing models. [ABSTRACT FROM AUTHOR]

Background: In spite of the advances in critical care medicine, early diagnosis and proper treatment of bacterial sepsis is a challenge in intensive care unit. Procalcitonin (PCT) an innovative and better laboratory marker, has been recently proven to be appropriate and efficient in treating bacterial sepsis. Aim: To determine the diagnostic accuracy of Procalcitonin (PCT), C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) as individual and combined indicators of bacterial sepsis and compare ESR, CRP, PCT to the gold standard microbiological cultures. Materials and Methods: This study was a retrospective study which was conducted during the period of 1 year which was between August 2022 to August 2023. This study was conducted in General surgery department, SVIMS-SPMC(W), Tirupati in a total of 80 patients. Results: Majority of patients were in the age group of 51-60 years which constituted 21 patients (26.2%). Majority of patients were males which constituted 66 (82.5%). Females were 14 (17.5%). C-reactive protein was in between 100-150 mg/dl in 16 patients (20%) at admission and after 48 hrs, less than 10 mg/dl C-reactive protein was observed in 6 patients which is considered abnormal. procalcitonin (ng/mL) was greater than 0.25 ng/mL in 69 patients (86.3%) at admission which indicates the presence of infection. After 48 hours, infection was reduced in 54 patients (67.5%). At admission active infection was observed in 27 patients (33.8%) at admission with ESR >100 mm/hr and it was reduced to 8, 10% after 48 hours. 9 positive blood cultures and 3 negative blood cultures were observed in patients with less than 2 ng/mL procalcitonin, 4 positive blood cultures and 3 negative blood cultures were observed in patients with 2-10 ng/mL procalcitonin, 8 positive blood cultures and 1 negative blood cultures were observed in patients with more than 10 ng/mL procalcitonin. Conclusion: PCT was more efficient diagnostic tool when compared to CRP and ESR in detecting severity of infection. [ABSTRACT FROM AUTHOR]