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.

Monitoring of the lung fluid movement and estimation of lung area using Electrical Impedance Tomography: A Simulation Study

Abstract: Patients suffering from the acute respiratory distress syndrome (ARDS) requires thoracic electrical impedance tomography (EIT) for the monitoring their conditions ranging from dynamic shifting of body fluids to lung aeration right at the bedside. More objectively, EIT-derived numeric parameters would help the physician to evaluate the state of the lung. Thus, here we have performed a Finite Element Method based simulation study for monitoring the condition of lungs and heart of ARDS patients. Therefore, a finite element method (FEM)- model of a human thorax in 3 dimensional platform of FEM Multiphysics software is created and is tested with new ventilation indices regarding their ability to quantitatively describe structural changes in the lung due to the gravitationally dependent lung collapse. Additionally, analysis is made to find the electrode pairs capable of separating the lung and heart activity when a particular amount of constant current is injected through them are also carried out. Finally, a real time of the EIT system using 16 Ag-AgCl electrodes were developed for real time imaging of the human thorax. The data were collected using the adjacent current injection technique and are plotted using FEM Multiphysics software. The reconstructed FEM images using the forward solver of EIT shows the approximate area of the thorax (lungs, heart etc.) under observation.

Development of an android platform for monitoring QCM sensor-array based Electronic Nose

Abstract: The objective of this paper is to develop a microcontroller-based, real-time data acquisition, and remotely operated system, also called the Remote Sensing System for a Standalone E-Nose System (RSENS). The Volatile Organic Compounds (VOC) content of a provided sample is detected using Quartz Crystal Microbalance (QCM) sensors and stored. The data obtained is analyzed in the RSENS using its GUI interface attached to it. This paper investigates remote control of the RSENS where the system operation and the data can be accessed remotely by an Android application through a common cloud server that connects both the android application and the RSENS. Moreover, the analyzed data is also visualized on the remote Android platform. The RSENS can analyze and store the data in the cloud server wherein real-time monitoring application can retrieve it from the server and perform additional plots and apply other segregation algorithms, as well as modify the generated data.

Finding the Association of mRNA and miRNA Using Next Generation Sequencing Data of Kidney Renal Cell Carcinoma

Abstract: MicroRNAs (miRNAs) are a class of 22-nucleotide endogenous noncoding RNAs, and plays an important role in regulating target gene expression via repressing translation or promoting messenger RNAs (mRNA) degradation. Numerous researchers have found that miRNAs have serious effects on cancer. Therefore, study of mRNAs and miRNAs together through the integrated analysis of mRNA and miRNA expression profiling could help us in getting a deeper insight into the cancer research. In this regards, high-throughput sequencing data of Kidney renal cell carcinoma is used here. The proposed method focuses on identifying mRNA-miRNA pair that has a signature in kidney tumor sample. For this analysis, random forests, particle swarm optimization, and support vector machine classifier is used to have best sets of mRNAs-miRNA pairs. Additionally, the significance of selected mRNA-miRNA pairs is tested using gene ontology and pathway analysis tools. Moreover, the selected mRNA-miRNA pairs are searched based on changes in expression values of the used mRNA and miRNA dataset.

Effect of Packing Density on Crosstalk in On-chip Optical Interconnects

Abstract: Optical interconnects hold the promise of revolutionizing computing speed having higher bandwidth and lower power consumption. For high packing density of optical interconnects, crosstalk is calculated considering the coupling of fields of two parallel identical neighboring waveguides. The study shows that there exists minimum pitch for a particular length and width of the interconnects to avoid significant amount of crosstalk. Again, an optimum ratio of width-to-pitch exists for which crosstalk is minimum.

Pattern Synthesis of Non-uniformly excited Circular Array using Differential Evolution Algorithm

Abstract: The present article investigates pattern synthesis of circular antenna array. Pattern synthesis in the form of sidelobe level reduction and first null beam width narrowing has been considered. Desired objectives have been achieved through perturbation in excitation amplitude using Differential Evolution algorithm.