Registration Form for participating in IPPTA Annual Seminar

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Ippta Saharanpur

Schedule at Hotel Radisson Blu Kaushambi Delhi NCR on 23rd & 24th March, 2018

Engineering

Registration Form for participating in IPPTA Annual Seminar

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Its an "United Nations Park" Construction site. We have visited this place to gain some practical experience which is related to our academic topic. In this site we have seen a various engineering materials like hollow bricks, Concrete block, plain tiles. And how to make a water fountain, and pathway which is aesthetically pleasing to see. This construction was directed by our Honorable Sir Md. Abul Hasan. The Name of the developer is "STRUCXEL" which have the glorious history in the development in Chittagong.

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Explore the revolutionary concept of microkernel architecture in operating systems with this comprehensive presentation. From its inception to its contemporary applications, this PowerPoint provides a deep dive into the essence and significance of microkernels. Covering the following key aspects: Understanding Microkernel Architecture: Delve into the core principles of microkernel design, distinguishing it from monolithic kernels. Learn how microkernels streamline the operating system by delegating essential functions to user-space processes. Advantages of Microkernels: Uncover the myriad benefits of microkernel architecture, including increased system stability, modularity, and flexibility. Explore how microkernels facilitate easier maintenance, extensibility, and customization of operating systems. Challenges and Trade-offs: Navigate through the challenges and trade-offs associated with microkernel design, such as performance overhead and complexity. Gain insights into strategies for mitigating these challenges and optimizing microkernel-based systems. Real-world Implementations: Explore notable examples of operating systems built on microkernel architecture, including GNU Hurd, MINIX, and QNX. Understand how these systems leverage microkernels to achieve specific goals in terms of reliability, security, and real-time performance. Whether you're a budding operating system enthusiast or a seasoned developer exploring alternative system architectures, this PowerPoint presentation offers a comprehensive overview of microkernel technology. Download now and embark on a journey to reimagine the future of operating systems with microkernels.

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AI in healthcare revolutionizes patient care by enhancing diagnostics, personalizing treatments, and improving operational efficiency. Machine learning algorithms analyze vast medical data to predict diseases, optimize treatment plans, and facilitate early intervention. AI-powered tools like chatbots and virtual assistants streamline administrative tasks, while advanced imaging analysis improves accuracy in detecting conditions like cancer. Integrating AI in healthcare not only accelerates research and drug development but also ensures better patient outcomes and reduced healthcare costs. Embrace the future of medicine with AI, driving innovation and transforming the healthcare landscape for a healthier, smarter tomorrow. https://www.leewayhertz.com/ai-use-cases-in-healthcare/

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According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.

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Welcome to my portfolio! I'm Maher Othman, an accomplished Interior Design Director with a passion for creating captivating spaces that blend functionality with aesthetics. With eighteen years of experience in the industry, I've had the privilege of leading diverse projects across residential, commercial, and hospitality sectors. At the heart of my approach lies a commitment to understanding the unique needs and aspirations of my clients. I believe that every space has a story to tell, and it's my mission to translate those narratives into immersive environments that resonate with both occupants and visitors alike. With a keen eye for detail and a flair for innovation, I strive to push the boundaries of design while adhering to practical considerations and budgetary constraints. Whether it's revitalizing outdated interiors, conceptualizing cutting-edge office spaces, or curating luxurious residential retreats, I approach each project with enthusiasm and dedication. Throughout my career, I've cultivated a collaborative mindset, working closely with clients, architects, contractors, and artisans to bring visions to life. From initial concept development to final implementation, I prioritize clear communication, meticulous planning, and seamless execution to ensure the success of every endeavor. In this portfolio, I invite you to explore a curated selection of my most notable projects, each offering a glimpse into my design philosophy, creative process, and commitment to excellence. From striking visual transformations to thoughtful spatial arrangements, I hope these examples inspire and resonate with you. Thank you for considering my work. I look forward to the opportunity to collaborate on your next design venture and bring your vision to fruition. Warm regards, Maher Othman Interior Design Director

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In this study, using the fuzzy logic method, a stress detection tool was created with body temperature and blood pressure parameters as indicators to determine a person's stress level. This tool uses the LM35DZ sensor to detect body temperature, the MPX5100GP sensor to read blood pressure values, and Arduino Uno as a data processor from sensor readings which are then calculated using the fuzzy logic method as a stress level decisionmaker. The resulting output measures blood pressure, body temperature, and the stress level experienced by a person, which will be displayed on the liquid crystal display. Based on the results of testing the body temperature parameter, the highest error generated was 1.17%, and for the blood pressure parameter, the highest error was 2.5% for systole and 0.93% for diastole. Furthermore, testing the stress level displayed on the tool is compared to the depression, anxiety, and stress scales 42 (DASS 42), a psychological stress measuring instrument. From the results of testing the tool with the questionnaire, the average conformity level is 74%.

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