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MOS stands for Metal Oxide Semiconductor. Metal Oxide Semiconductor is used for constructing transistors which are called MOSFET (Metal Oxide Semiconductor Field Effect Transistors). MOS transistors are being extensively used in a variety of modern electronic and power electronic devices like inverters, microprocessors, memory ICs, digital logic circuits, and more. What is a MOS Transistor? A MOS (Metal Oxide Semiconductor) transistor is a type of field effect transistor (FET) that can operate in both depletion mode and enhancement mode. A MOS transistor typically consists of three-terminals namely, Gate (G), Source (S), and Drain (D). The major parts of a MOS ... Read More
What is a Logic Gate? In digital circuits, a logic gate is a fundamental element of the digital circuit or system, that performs a specific logical operation. A logic gates typically has one or more inputs and only one output. The output of the logic gate is related to the inputs based on a certain logic. Some commonly used logic gates are: AND Gate, OR Gate, NOT Gate, NAND Gate, and NOR Gate. What is CMOS Technology? CMOS, Complementary Metal Oxide Semiconductor, is a predominant technology used for manufacturing integrated circuits (ICs). This technology is widely used for manufacturing a ... Read More
A diode is a two-terminal semiconductor device which allows electric current to flow in only one direction, and blocks the current flow in the reverse direction. Diode is normally made up of semiconductor materials like silicon or germanium. Based on construction and operation, there are several types of semiconductor diodes, but the most common type of semiconductor diode is the pn-junction diode. A pn-junction diode is formed by fusing a p-type semiconductor with an n-type semiconductor, where p-type semiconductor acts as the anode terminal and the n-type semiconductor acts as the cathode of the diode. When a forward voltage ... Read More
Introduction Within the domain of artificial intelligence and machine learning, there are a few approaches and methods utilized to illuminate complex issues and make intelligent decisions. Two of the well−known strategies are neural networks and fuzzy logic. Whereas both approaches point to tackling comparative challenges, they differ in their fundamental principles, methodologies, and applications. This article dives into the elemental differences between neural systems and fuzzy logic, investigating their one−of−a−kind characteristics qualities, and limitations. Neural Networks A neural network could be a computational model motivated by the structure and working of the human brain. It comprises interconnected nodes called neurons ... Read More
Introduction Data preprocessing could be a critical step in information investigation and modeling because it includes changing and planning information to meet the suspicions of factual models. One such change method is the Box−Cox change, which is broadly utilized to normalize information conveyances and stabilize fluctuations. In Python, the scipy library gives the Box−cox function, simplifying the execution of the Box−Cox transformation. In this article, we are going investigate the Box−Cox change in Python utilizing the scipy library. We'll dive into the language structure of the change and illustrate its application utilizing distinctive approaches. Understanding the Concept of Box − ... Read More
Introduction In later a long time, computer vision has seen exceptional advancements, much appreciated to the application of deep learning models. One such groundbreaking model is the Detection Transformer (DETR), created by Facebook AI Research. DETR has revolutionized question detection by combining the control of transformers, a sort of deep learning architecture, with convolutional neural networks (CNNs). In this article, we are going dive into the internal workings of DETR, investigate its unique approach to object location, and highlight its effect on the field of computer vision. Understanding the DETR Design At the center of DETR lies a ... Read More
Memory management is a critical aspect of computer systems that directly impacts their performance and stability. Within memory management, several terms come into play, including private bytes, virtual bytes, and working sets. In this article, we will embark on a comprehensive exploration of these fundamental concepts, unraveling their intricate meanings, contrasting characteristics, and utmost significance within the realm of memory management. When delving into the realm of comprehending memory usage, one must possess a profound acquaintance with an array of memory metrics. Private bytes, virtual bytes, and working sets emerge as quintessential gauges employed for meticulously scrutinizing memory consumption across ... Read More
In the realm of operating systems, process scheduling plays a vital role in achieving efficient task execution. A key aspect of process scheduling is the management of Process Control Blocks (PCBs) and the utilization of various queueing techniques. This article explores the significance of PCBs and queueing in the process scheduler, highlighting their role in optimizing system performance. Process Control Blocks (PCBs) Definition and Purpose The successful operation of an operating system rests on its ability to use the data structure known as a Process Control Block (PCB) effectively. PCBs allow for efficient storage and management of process related information. ... Read More
Process scheduling plays a crucial role in the efficient functioning of operating systems. Within the realm of process scheduling, understanding job and process status is essential for effective management and optimization. In this article, we will delve into the concept of process scheduler, explore job and process status, and examine their significance in operating systems. As computers execute multiple tasks simultaneously, a process scheduler ensures fair allocation of system resources and efficient execution of processes. Job and process status are integral components of the process scheduling mechanism, providing insights into the progress and state of running processes. Understanding Process Scheduler ... Read More
Introduction Artificial Neural Networks (ANNs) have picked up significant attention and have ended up a foundation within the field of artificial intelligence. These computational models, motivated by the complicated workings of the human brain, have appeared exceptional capabilities in fathoming complex issues. ANNs comprise of interconnected nodes, called neurons, which prepare and transmit data through weighted associations. By learning from information, ANNs can recognize designs, make expectations, and perform assignments that were once thought to be solely inside the domain of human insights. In this article, we dig into the usage of an Artificial Neural Network particularly outlined to imitate ... Read More