The Impact of Substrate Doping Concentration on Electrical Characteristics of 45nm Nmos Device
A Study on Globally Asynchronous and locally Synchronous System
Performance Analysis of Modified Source Junctionless Fully Depleted Silicon-on-Insulator MOSFET
Method of 2.5 V RGMII Interface I/O Duty Cycle and Delay Skew Enhancement
Automatic Accident Detection and Tracking of Vehicles by Using MEMS
This paper provides a thorough comparison of sophisticated biosensors and conventional sensors, explaining the underlying technologies, working theories, and performance measures of each in analytical detection applications. Through analyzing the essential distinctions and parallels between them, this paper brings to light the unique benefits and constraints of every technology with respect to sensitivity, specificity, reaction speed, and mobility. This paper also examines the various uses of sensors and biosensors in healthcare, environmental monitoring, and industrial processes, offering insights into the special qualities and possible collaborations of these platforms. Looking ahead, this paper explores new developments in data analytics, microfluidics, and nanotechnology that will lead to next-generation sensing technologies with improved analytical capabilities and wider practical uses.
The increasing demand for high-density Very Large-Scale Integrated (VLSI) circuits, driven by the scaling of CMOS technology, is primarily challenged by the need for uniformity in SRAM cells. Given that most programs frequently seek dependable data, the primary cache and memory caching (MC) component in SRAM tends to be relatively steady. Resolving power and delay imbalances is the main problem with SRAM cells. The issues with CMOS-based SRAM cells include high cost, wide parameter variation, and worse dependability. CMOS devices also experience a loss of channel control by the gate. It is therefore advised to use FinFET-based SRAM cells rather than CMOS. This paper presents a design study of a 1T-1D SRAM cell using FinFET and CMOS technology. Without changing the logic state of the SRAM cell, the objective of this paper is to lessen power leakage. The cell structure's ease of design also contributes to its remarkable affordability and accessibility. A 1T-1D cell with the bare minimum of transistors has a smaller overall area. The suggested 1T-1D SRAM cell is implemented using the Tanner EDA working platform, which uses 7nm FinFET technology. With this study, low power was reached up to 99%, and delay reduction was improved to 98%.
A technique of image fusion by means of a guided image filter is proposed in this paper. It employs image smoothing with a guided filter by making use of texture information as guidance for the guided filter. Then, image statistics-based pixel weight computation is utilized for generating the weight maps of the source images from detail layer features. Finally, the source images are integrated based on the weighted average combining strategy. The efficacy of the proposed algorithm is tested and compared with several state-of-the-art image fusion methods in terms of several objective image quality assessment parameters. The experimental result suggests the efficacy of the proposed algorithm in image fusion.
This paper gives an overview of area, power, delay for four different 64-bit adders. The design metrics in VLSI are low area and delay alongside low power designs. Adder is one of the necessary components of almost every kind of digital and high- performance systems such as FIR filters, digital signal processors and microprocessors etc. Different types of adders are carry tree adder, carry save adder, carry look ahead adder and carry select adder. In this work we have designed, simulated and synthesized these adder topologies and compared the results in cadence tool.
This paper aims to design an Android interface, an Arduino bot, and write a program on the Arduino microprocessor. Arduino cars contain Arduino microcontrollers with basic mobility features. Arduino programs contain instructions for mediating between an Android controller and an Arduino car. Android mobile controllers use different mobile sensors to supervise motion. An appropriate program in the Arduino microprocessor to interact with the Android controller has to be created. The program has been successfully compiled through the Arduino IDE on the Arduino microprocessor and loaded into it after proper checking of the logic to decrease any loss or damage to the hardware. An Android application is created that provides the user with an interface to interact with the Arduino-powered car. The interface is easy to use and provides feedback from the Arduino microprocessor through Bluetooth after giving instructions to the Arduino for various actions through the interface. The Android application is to be created with the help of Android Studio, which provides more capability and stability. After doing all of this, the application is thoroughly tested, and the maximum number of errors and wrong logic in the microprocessor program are found.
