SoapUI Pro Advance Training Certificate from Smartbear

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Arvind Bhardwaj [AB]

Engineering

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Built environment is known for its capacity, capability, role, relevance and importance to change the quality of life of the occupants and communities. Presentation focuses on options which need to be leveraged to make buildings sustainable, cost-effective, energy efficient, resource efficient, qualitative over its entire life-cycle through designing, construction, operation. It calls for making buildings green and sustainable.

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8th International Conference on Soft Computing, Mathematics and Control (SMC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

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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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hublikarsn

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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Online Food Ordering System is proposed for simplifies the food ordering process. ThisSystem shows an user interface and update the menu with all available options so that it eases thecustomer work. Customer can choose more than one item to make an order and can view Orderdetails before logging off. The order confirmation is sent to the customer. The order is placed inthe queue and updated in the Database and returned in real time. This system assists the staff togo through the orders in real time and process it efficiently. Online food order system is mainlydesigned primarily function for use in the food delivery industry. This system will allowhotels and restaurants to increase online food ordering such type of business. The customerscan be selected food menu items just few minutes. In the modern food industries allows toquickly and easily delivery on customer place. Restaurant employees then use these ordersthrough an easy to delivery on customer place easy find out navigate graphical interface forefficient processing .

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