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Education system forms the backbone of every nation. And hence it is important to provide a strong educational foundation to the young generation to ensure the development of open-minded global citizens securing the future for everyone. Advanced technology available today can play a crucial role in streamlining education-related processes to promote solidarity among students, teachers and the school staff. School Management System(SMS) consists of tasks such as registering students, attendance record keeping to control absentees, producing report cards, producing official transcript, preparing timetable and producing different reports for teachers, officials from Dr.Mohiuddin Education foundation and other stakeholders. Automation is the utilization of technology to replace human with a machine that can perform more quickly and more continuously. By automating SMS documents that took up many large storage rooms can be stored on few disks. Transcript images can be annotate. It reduces the time to retrieve old transcripts from hours to seconds.

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Digital Communication: Digital communication refers to the transmission of information using digital signals, where data is represented by discrete symbols or values. It encompasses various techniques for encoding, transmitting, and decoding digital data, including text, images, audio, and video. Digital communication systems offer advantages such as improved signal quality, noise immunity, and the ability to multiplex multiple data streams. Differential Pulse Code Modulation (DPCM): DPCM is a digital modulation technique used for encoding analog signals into digital form. In DPCM, the difference between the current sample and the predicted value of the sample is quantized and encoded, rather than encoding the absolute sample value directly. This technique can reduce the amount of data required for transmission compared to standard pulse code modulation (PCM), especially for signals with correlation between successive samples. Delta Modulation (DM): Delta modulation is a simple form of analog-to-digital conversion where the difference (delta) between the current sample and the previous sample is quantized and encoded. In DM, only the sign of the difference (positive or negative) is transmitted, which simplifies the encoding process. However, DM may suffer from quantization noise and limited signal fidelity, especially for rapidly changing or high-frequency signals. Adaptive Delta Modulation (ADM): Adaptive delta modulation is an extension of delta modulation that dynamically adjusts the step size or quantization level based on the characteristics of the input signal. Unlike fixed-step delta modulation, ADM can adapt to changes in signal amplitude or frequency, resulting in improved signal fidelity and reduced quantization error. ADM is particularly useful for encoding signals with varying dynamics or signal-to-noise ratios

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Although the Dark web was originally used for maintaining privacy-sensitive communication for business or intelligence services for defence, government and business organizations, fighting against censorship and blocked content, later, the advantage of technologies behind the Dark web were abused by criminals to conduct crimes which involve drug dealing to the contract of assassinations in a widespread manner. Since the communication remains secure and untraceable, criminals can easily use dark web service via The Onion Router (TOR), can hide their illegal motives and can conceal their criminal activities. This makes it very difficult to monitor and detect cybercrimes over the dark web. With the evolution of machine learning, natural language processing techniques, computational big data applications and hardware, there is a growing interest in exploiting dark web data to monitor and detect criminal activities. Due to the anonymity provided by the Dark Web, the rapid disappearance and the change of the uniform resource locators (URLs) of the resources, it is not as easy to crawl the Drak web and get the data as the usual surface web which limits the researchers and law enforcement agencies to analyse the data. Therefore, there is an urgent need to study the technology behind the Dark web, its widespread abuse, its impact on society and the existing systems, to identify the sources of drug deal or terrorism activities. In this research, we analysed the predominant darker sides of the world wide web (WWW), their volumes, their contents and their ratios. We have performed the analysis of the larger malicious or hidden activities that occupy the major portions of the Dark net; tools and techniques used to identify cybercrimes which happen inside the dark web. We applied a systematic literature review (SLR) approach on the resources where the actual dark net data have been used for research purposes in several areas. From this SLR, we identified the approaches (tools and algorithms) which have been applied to analyse the Dark net data, the key gaps as well as the key contributions of the existing works in the literature. In our study, we find the main challenges to crawl the dark web and collect forum data are: scalability of crawler, content selection trade off, and social obligation for TOR crawler and the limitations of techniques used in automatic sentiment analysis to understand criminals’ forums and thereby monitor the forums. From the comprehensive analysis of existing tools, our study summarizes the most tools. However the forum topics rapidly change as their sources changes; criminals inject noises to obfuscate the forum’s main topic and thus remain undetectable. Therefore supervised techniques fail to address the above challenges. Semi-supervised techniques would be an interesting research direction.

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Robotics is an exciting and rapidly evolving field that combines engineering, computer science, and technology. Robots are versatile machines capable of automating a wide range of tasks with precision, speed, and power. This introduction will explore the history, components, and applications of this transformative technology. A robot is an electromechanical machine designed to perform tasks autonomously or semi-autonomously. Robots are controlled by sophisticated software and can be programmed to carry out a variety of functions. Robots use sensors to gather information about their environment and actuators to interact with it. The concept of automata, or self-operating machines, dates back to ancient civilizations such as Greece and China. The development of industrial machinery in the 18th and 19th centuries paved the way for modern robotics. The advent of computers in the 20th century enabled the creation of more advanced, programmable robots Industrial robots are commonly used in manufacturing, performing tasks such as welding, painting, and assembly. Service robots are designed to assist humans in tasks like cleaning, transportation, and healthcare Humanoid robots are designed to mimic the appearance and functionality of the human body. Mechanical Structure Robots have a physical frame, joints, and linkages that allow for movement and manipulation. Power Source Robots require a power source, such as batteries or electrical connections, to operate. Control System The control system, often a computer or microcontroller, coordinates the robot's actions and movements End Effectors Robots may have specialized tools, such as grippers or tools, to interact with their environment Cameras and other vision sensors allow robots to perceive and respond to their environment. Ultrasonic and infrared sensors help robots detect and avoid obstacles. Tactile sensors enable robots to feel and interact with their surroundings. Motors, servos, and other actuators allow robots to move and manipulate objects. Robots are controlled by sophisticated software that defines their behaviors and decision-making processes. Algorithms enable robots to process sensor data, plan actions, and execute tasks autonomously. Advancements in machine learning allow robots to adapt and improve their performance over time. Applications of Robotics Robots are widely used in industrial settings for tasks such as assembly, welding, and packaging. Robotic systems are revolutionizing medicine, from surgical assistants to rehabilitation devices. Robots are essential for exploring hazardous environments, such as deep-sea and outer space

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This presentation gives you easier way to study 8086 i.e. 16 bit microprocessor. 8086 microprocessor's architecture contains two basic functional units namely Bus Interface Unit and Execution Unit. BIS fetches the instructions from memory. It reads/writes instructions to/from memory. Input/Output of data to/from I/O peripheral ports. Address generation of memory reference. Queing instructions. Thus, BIU handles all transfer of data and address. Tasks of EU: Decodes the instructions. Executes the decoded instructions. Tells BIU from where to fetch the instruction. EU takes care of performing operation on the data. EU is also known as heart of the data.

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“HOSTEL MANAGEMENT SYSTEM” is a software developed for managing various activities in the hostel. For the past few years the number of educational institutions are increasing rapidly. Thereby the number of hostels are also increasing for the accommodation of the students studying in this institution. And hence there is a lot of strain on the person who are running the hostel and software’s are not usually used in this context. This particular project deals with the problems on managing a hostel and avoids the problems which occur when carried manually.

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We investigated the applicability and efficiency of the MLMC approach to the Henry-like problem with uncertain porosity, permeability and recharge. These uncertain parameters were modelled by random fields with three independent random variables. Permeability is a function of porosity. Both functions are time-dependent, have multi-scale behaviour and are defined for two layers. The numerical solution for each random realisation was obtained using the well-known ug4 parallel multigrid solver. The number of random samples required at each level was estimated by calculating the decay of the variances and the computational cost for each level. The MLMC method was used to compute the expected value and variance of several QoIs, such as the solution at a few preselected points $(t,\bx)$, the solution integrated over a small subdomain, and the time evolution of the freshwater integral. We have found that some QoIs require only 2-3 mesh levels and samples from finer meshes would not significantly improve the result. Other QoIs require more grid levels.

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