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Treated HfO2 based rram devices with ru, tan, tin as top electrode for in-memory computing hardware

The scalability and power efficiency of the conventional CMOS technology is steadily coming to a halt due to increasing problems and challenges in fabrication technology. Many non-volatile memory devices have emerged recently to meet the scaling challenges. Memory devices such as RRAMs or ReRAM (Resistive Random-Access Memory) have proved to be a promising candidate for analog in memory computing applications related to inference and learning in artificial intelligence. A RRAM cell has a MIM (Metal insulator metal) structure that exhibits reversible resistive switching on application of positive or negative voltage. But detailed studies on the power consumption, repeatability and retention of during multi-level operation have not been undertaken previously. Transition metal oxide-based RRAMs, using HfO2, executes change in resistance (switching behavior) via electrochemical migration of oxygen vacancies. This thesis investigates the role of extra oxygen vacancies, introduced by plasma exposure (treated), in HfO2 to reduce the power consumption of RRAM. In addition to oxygen vacancy rich HfO2, various top metal electrodes including Ruthenium (Ru) are explored to enhance the switching behavior and power consumption. Use of Ru as a top metal reduced the switching energy of the treated HfO2 RRAM device

Adaptive Learning Technique For Facial Recognition

This research describes the adaptive learning technique for facial recognition. It is a common practice in convolutional neural network(CNN) based facial recognition to save its trained result on a large dataset and then load and apply it to ongoing facial recognition tasks. This generally used method lacks adaptation, and the ongoing evolution of new knowledge poses a key technical challenge. In this research, we propose a continued learning technique to incorporate new knowledge derived in each facial recognition process. A positive recognition with confidence score is assigned, and the image associated with this confidence is added to the image dataset for ongoing training. Pre-trained CNN on a similar small dataset serves as the starting point for this ongoing training technique, which leads to a significant reduction in the training time and enhancement of the recognition rate. This research is inspired by the evolutionary adaptive learning talk given by Dr. Harry Li in the 2019 SiliconValley AI Event. This research is conducted to provide proof-of-concept groundwork to demonstrate the feasibility of continued learning and adaptation while executing the FaceNet/ResNet facial recognition algorithm. In this research, the proof-of-the-concept algorithm is demonstrated on a simple feed-forward neural network, then tested with an adaptive face technique to demonstrate the learning acceleration from the adaptive process. Experiments confirm the adaptive learning on FaceNet and ResNet as per the proof-of-the-concept by reducing the number of epochs required to reach a convergence point by approximately 50%. This states the use of adaptive learning techniques in software that require identifying images of aging people concerning time

ELEVEN LEVEL INVERTER DESIGN WITH DVR FOR DISTRIBUTION ENERGY SYSTEM

 In this paper with flexible AC transmission system capability is implemented. The proposed inverter is placed between the wind turbine and the grid, same as a regular WEI, and is able to regulate active and reactive power transferred to the grid. This inverter is equipped with dynamic voltage restorer option in order to control the power factor  of  the local feeder lines. The goal of this project is to introduce new ways to increase the penetration of renewable energy systems into the distribution systems. This will encourage the utilities and customers to act not only as a consumer, but also as a supplier of energy.Â

Constraints in Adoption of Recommended Cultivation Practices of Medicinal Plant Growers

The objective of this study is to identify the constraints faced by medicinal plant growers in adoption of recommended cultivation practices. The present investigation was conducted in Tiruvannamalai district of Tamil Nadu state. A total of 120 respondents were selected randomly by proportionate random sampling method and  ere interviewed personally with the help of a structured interview schedule. The collected data were processed and statistically analyzed. Major constraints experienced by the medicinal plant growers were improper availability of seed/planting material, high cost of labour, lack of fixed price policy for medicinal plants by the government and lack of processing industries

Antidiabetic and hypolipidemic effects of mahanimbine (carbazole alkaloid) from murraya koenigii (rutaceae) leaves

Murraya koenigii leaves (Rutaceae) are used traditionally in Indian Ayurvedic system to treat diabetes. The purpose of the study is to investigate the effect of mahanimbine (carbazole alkaloid from Murraya koenigii leaves) on blood glucose and serum lipid profiles on streptozotocin-induced diabetic rats. Diabetes was induced in adult male Wistar rats by intra-peritoneal injection of streptozotocin (45mg/kg). Mahanimbine (50 and 100mg/kg) were administrated as a single dose per week to the diabetic rats for 30 days. The control group received 0.3% w/v sodium carboxy methyl cellulose for the same duration. Fasting blood sugar and serum lipid profiles were measured in the diabetic and non-diabetic rats. In addition, in vitro alpha amylase and alpha glucosidase inhibitory effects of mahanimbine were performed. Results: In the diabetic rats, the elevated fasting blood sugar, triglycerides, low density lipoprotein, very low density lipoprotein levels were reduced and high density lipoprotein level was increased by mahanimbine at a dose of 50 and 100mg/kg (i.p). In addition, mahanimbine showed appreciable alpha amylase inhibitory effect and weak alpha glucosidase inhibitory effects when compared with acarbose. Conclusions: The present study indicated that mahanimbine possess anti-hyperglycemic and anti-lipidemic effects. Thus results suggesting mahanimbine has beneficial effect in the management of diabetes associated with abnormal lipid profile and related cardiovascular complications.Keywords: Streptozotocin; Hypoglycemic; Hypolipidemic; Mahanimbin