Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Steganography & Support vector machine. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

Comparisons between Dual and Tri Material Gate on a 32 nm Double Gate MOSFET

Abstract: The paper reports a comparative analysis between the dual material gate double gate (DMG-DG) nMOSFET and the tri material gate double gate (TMG-DG) nMOSFET in terms of their analog and RF performance. Three different devices having the DMG-DG structure have been considered. Each of the devices have different higher workfunction material gate length (L1) to lower workfunction material gate length (L2) ratio (L1:L2). Along with the three devices, the performance of the TMG-DG nMOSFET is compared. The analog parameters considered for the comparison are the drain current (Ids), the transconductance (gm), the transconductance generation factor (gm/Ids) and the intrinsic gain (gmRo). The drain induced barrier lowering (DIBL) of the devices is compared. The RF analysis is performed using the non quasi static (NQS) approach. We consider the intrinsic gate to source capacitances (Cgs), the intrinsic gate to drain capacitance (Cgd), the intrinsic gate to source resistances (Rgs), the intrinsic gate to drain resistance (Rgd), the transport delay (τm), the unity current gain cut-off frequency (fT) and the max frequency of oscillation (fmax) for the RF comparisons. A single stage amplifier is also implemented using the devices for a circuit comparison.

Identification of tissue-specific tumor biomarker using different optimization algorithms.

Abstract: Identification of differentially expressed genes, i.e., genes whose transcript abundance level differs across different biological or physiological conditions, was indeed a challenging task. However, the inception of transcriptome sequencing (RNA-seq) technology revolutionized the simultaneous measurement of the transcript abundance levels for thousands of genes. In this paper, such next-generation sequencing (NGS) data is used to identify biomarker signatures for several of the most common cancer types (bladder, colon, kidney, brain, liver, lung, prostate, skin, and thyroid) Here, the problem is mapped into the comparison of optimization algorithms for selecting a set of genes that lead to the highest classification accuracy of a two-class classification task between healthy and tumor samples. As the optimization algorithms Artificial Bee Colony (ABC), Ant Colony Optimization, Differential Evolution, and Particle Swarm Optimization are chosen for this experiment. A standard statistical method called DESeq2 is used to select differentially expressed genes before being feed to the optimization algorithms. Classification of healthy and tumor samples is done by support vector machine Cancer-specific validation yields remarkably good results in terms of accuracy. Highest classification accuracy is achieved by the ABC algorithm for Brain lower grade glioma data is 99.10%. This validation is well supported by a statistical test, gene ontology enrichment analysis, and KEGG pathway enrichment analysis for each cancer biomarker signature The current study identified robust genes as biomarker signatures and these identified biomarkers might be helpful to accurately identify tumors of unknown origin

A Generalized Analytical Approach for Designing of One Dimensional Photonic Crystal Based Optical Filter With Flat-Top Response

Abstract: One dimensional photonic crystal based optical band pass filter has been analyzed using coupled mode approach in order to achieve a desired filter response in terms of full width at half maximum. The power transmittance through successive primitive cells of the crystal has been rationalized by considering weak coupling between the forward and specularly reflected waves within the crystal, which is modeled as distributed feedback structure. The time constants, associated with the optical resonator and responsible for a weakly coupled eigen mode to exist, have been estimated. These time constants would actually be used to determine the number of primitive cells, on either side of a defect, required to build up a desired mode. The collateral observations provide necessary conditions of resonance.

Colloidal Molybdenum Diselenide Nanocrystals for Tunable, Broadband, and Mixed-Dimensional Photodetectors

Abstract: Two-dimensional (2D) semiconductors with a direct band gap are attractive for the fabrication of 2D/Si heterostructures for complementary metal–oxide–semiconductor compatible nanophotonic devices. ...